AI Innovations in June 2024.
Welcome to our blog series “AI Innovations in June 2024”! This is an evolving article that will be updated daily throughout the month of June 2024 to bring you the latest news and developments in the world of artificial intelligence. As we move further into the 21st century, the pace of AI innovation continues to accelerate at a breathtaking rate. Each day, researchers, engineers, and visionaries are pushing the boundaries of what’s possible, unlocking new capabilities and applications that are transforming industries, enhancing our lives, and shaping the future. In this blog, we’ll dive deep into the most exciting AI breakthroughs, advancements, and milestones happening in June 2024. From groundbreaking AI-powered technologies and cutting-edge research to the societal and ethical implications of these innovations, we’ll provide you with a comprehensive and insightful look at the rapidly evolving world of artificial intelligence. Whether you’re an AI enthusiast, a tech-savvy professional, or simply someone curious about the future, this blog will keep you informed, inspired, and engaged. So, join us on this journey of discovery as we explore the frontiers of AI and uncover the innovations that are shaping our world. Stay tuned for daily updates, and get ready to be amazed by the incredible advancements that are happening in the world of AI!
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Top AI Statistics 2024 Roundup.
- The global AI market is valued at over $196 billion.
- AI industry value is projected to increase by over 13x over the next 7 years.
- The US AI market is forecast to reach $299.64 billion by 2026.
- The AI market is expanding at a CAGR of 38.1% between 2022 to 2030.
- By 2025, as many as 97 million people will work in the AI space.
- AI market size is expected to grow by at least 120% year-over-year.
- 83% of companies claim that AI is a top priority in their business plans.
- Netflix makes $1 billion annually from automated personalized recommendations.
- 48% of businesses use some form of AI to utilize big data effectively.
- 38% of medical providers use computers as part of their diagnosis.
Credit: Josh Howarth
AI Weekly Summary June 22-30 2024
Apple and Meta are discussing a generative AI partnership
ByteDance and Broadcom collaborate on AI chip development
Researchers developed a new method to detect hallucinations
Synthesia 2.0: World’s 1st AI video communication platform
OpenAI is on an acquiring spree, buying Rocket and Multi
Record labels sue AI music startups over copyright infringement
Anthropic rolls out Claude’s cutting-edge collaborative features
Google experiments with celebrity-inspired AI Chatbots
OpenAI postpones the launch of ChatGPT voice mode
Amazon steps into the chatbot race with Metis
Figma’s new AI features stir competition with Adobe
Alibaba’s Qwen-72B tops Hugging Face’s Open LLM Leaderboard
Google releases Gemma 2, lightweight but powerful open LLMs
OpenAI’s CriticGPT finds GPT-4’s mistakes with GPT-4
Google partners with Moody’s, Thomson Reuters & more for AI data
Apple and Meta are discussing gen AI partnership
Apple is reportedly in talks with its longtime rival Meta to integrate the latter’s Llama 3 AI model into Apple Intelligence. This move comes as Apple prepares to roll out its AI features across iPhones, iPads, and Macs later this year.
The potential partnership follows Apple’s existing deal with OpenAI, suggesting a collaboration strategy rather than solo development in the AI race. In Apple’s arrangement with OpenAI, there’s no direct payment. Instead, OpenAI can offer premium subscriptions through Apple Intelligence, with Apple taking a percentage. It’s unclear if Meta would agree to a similar business model, given that Llama 3 is open-source and free to access.
Source: https://www.wsj.com/
ByteDance and Broadcom collaborate on AI chip development
ByteDance is collaborating with U.S. chip designer Broadcom to develop an advanced AI processor. This partnership aims to secure a stable supply of high-end chips amid ongoing U.S.-China tensions. The project centers on creating a 5-nanometre, customized Application-Specific Integrated Chip (ASIC) that complies with U.S. export restrictions.
This chip’s manufacturing is set to be outsourced to Taiwan Semiconductor Manufacturing Company (TSMC), though production is not expected to begin this year. While the design work is currently underway, the critical “tape out” phase has yet to commence.
Source: https://www.reuters.
Researchers developed a new method to detect hallucinations
ChatGPT and Gemini can produce impressive results but often “hallucinate” false or unsubstantiated information. This research focuses on a subset of hallucinations called “confabulations,” where LLMs generate answers that are both wrong and arbitrary. Researchers have developed new methods to detect confabulations using entropy-based uncertainty estimators. They introduce the concept of “semantic entropy” to measure the uncertainty of LLM generations at the meaning level.
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High semantic entropy corresponds to high uncertainty and indicates a higher likelihood of confabulation. The method computes uncertainty at the level of meaning rather than specific word sequences, addressing the fact that one idea can be expressed in many ways. The method provides scalable oversight by detecting confabulations that people might otherwise find plausible.
Source: https://www.nature.
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Synthesia 2.0: World’s 1st AI video communication platform
Synthesia is launching Synthesia 2.0 – the world’s first AI video communications platform for businesses. It reinvents the entire video production process, allowing companies to create and share AI-generated videos at scale easily.
The key new features and capabilities of Synthesia 2.0 include:
- 2 Personal AI Avatars: Expressive Avatars shot in a studio and Custom Avatars created using your webcam.
- AI Video Assistant: Converts text, documents, or websites into high-quality videos, with options to customize the branding, tone, and length.
- Intuitive Video Editing: Editing simplified with “Triggers” that let you control animations and edits from the script.
- Translation and Dynamic Video Player: Videos can now be translated into over 120 languages. Synthesia is also building a new video player with interactive features.
- AI Safety Focus: Synthesia is pursuing ISO/IEC 42001 certification, the first standard for responsible AI management, to ensure its AI technologies are ethical.
Source: https://www.synthesia.
OpenAI is on an acquiring spree, buying Rockset and Multi
Last week, OpenAI acquired Rockset, a startup that develops tools for real-time data search and analytics. OpenAI said it would integrate Rockset’s technology to power its infrastructure and offerings across products.
This week, OpenAI acquired Multi, a startup focused on building remote collaboration tools and software. Technically, the deal is an acqui-hire as the entire Multi team, including its co-founders, will join OpenAI to work on the company’s ChatGPT desktop application.
Source: https://techcrunch.
Record labels sue AI music startups over copyright infringement
The world’s major record labels, including Universal Music Group, Sony Music, and Warner Music, have filed twin lawsuits against the AI music generation startups Suno and Udio. The lawsuits accuse the companies of unlawfully training their AI models on massive amounts of copyrighted music, which, according to the complaints, allows the startups to generate similar-sounding music without permission.
The record labels allege Suno and Udio have effectively copied artists’ styles and specific musical characteristics. The labels claim the AI-generated music is so close to the original that it is eerily similar when transcribed into sheet music. The lawsuits also accuse the startups of making it easy for people to distribute AI-created samples that mimic copyrighted recordings on platforms like Spotify.
Source: https://venturebeat.
Anthropic rolls out Claude’s cutting-edge collaborative features
Anthropic has introduced new collaboration features for Claude. These features include:
- Projects: Projects in Claude allow integration of internal resources like style guides or codebases, enhancing Claude’s ability to deliver tailored assistance across various tasks. Users can set custom instructions for each Project to modify Claude’s tone or perspective for a specific role or industry.
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- Artifacts: It allows users to generate and edit various content types like code, documents, and graphics within a dedicated window. This benefits developers by offering larger code windows and live previews for easier front-end reviews.
- Sharing Features: Claude Team users can share snapshots of their best conversations with Claude in their team’s shared project activity feed.
Additionally, any data or chats shared within Projects will not be used to train Anthropic’s generative models without a user’s explicit consent.
Source: https://www.anthropic.
Google experiments with celebrity-inspired AI Chatbots
These chatbots will be powered by Google’s Gemini family of LLMs. The company aims to strike partnerships with influencers and celebrities and is also working on a feature that allows people to create their own chatbots by describing their personalities and appearances.
The project is led by Ryan Germick, a longtime executive at Google and a team of ten. These chatbots could be an experiment and may only appear on Google Labs rather than being widely available.
Source: https://www.msn.com/
OpenAI postpones the launch of ChatGPT voice mode
Originally planned for late June, the Voice Mode aims to provide a more naturalistic and conversational experience with the AI chatbot, complete with emotional inflection and the ability to handle interruptions.
However, it will now be available only to a small group of users in late July or early August. OpenAI is working on improving content detection and user experience before wider rollout. GPT-4o’s real-time voice and vision capabilities are also expected to roll out to ChatGPT Plus users soon.
Source: https://techcrunch.
Amazon steps into the chatbot race
Amazon is reportedly working on a new consumer-focused chatbot codenamed “Metis.” It is planned to be released somewhere around September. Here’s what we know about it:
- The chatbot is powered by a new model, Olympus, and can be accessed via a web browser.
- It uses a retrieval-augmented generation (RAG) technique to provide up-to-date information and automate tasks.
- The model conversationally provides text and image-based outputs, suggesting follow-ups to queries. It also shares links to sources and supports image generation.
- It uses an infrastructure similar to Amazon’s upcoming voice assistant, Remarkable Alexa.
Source: https://www.
Figma’s new AI features stir competition with Adobe
Figma announced a range of new features at the 2024 Config conference. Significant ones include a UI redesign, generative AI tools, new icons and toolbar, AI-enhanced asset search, and auto-generated texts in designs.
For instance, by typing a simple prompt into the textbox, users can create an entire app design mock-up for a restaurant. Figma will connect the design pages and even write suggested content!
Figma has also added a few designer-specific features to allow users to tweak designs in real-time. It features a developer mode with a “ready-for-dev” task list. The upgrade also boasts Figma slides, a Google slides-like tool for building and sharing presentations.
Source: https://www.figma.com/
Alibaba’s Qwen-72B tops the Hugging Face leaderboard
Hugging Face’s latest open large language model leaderboard ranks and evaluates open LLMs based on benchmarks like MMLU-pro and tests them on high-school and college-level problems.
The platform used 300 NVIDIA H100 GPUs to re-evaluate major open LLMs to obtain updated rankings. Chinese company Alibaba’s Qwen-72B dominated the leaderboard, becoming a top performer overall.
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Not just that, the leaderboard was mainly dominated by Chinese companies, highlighting their headway into the open LLM space.
Source: https://huggingface.
Google’s Gemma 2, a set of lightweight, powerful open LLMs
Google has released Gemma 2 set of models that punch above their weight classes. Available in 9B and 27B parameter sizes, these models are
- Higher performing and more efficient at inference than the first-generation
- Have significant safety advancements built in
- Optimized to run at incredible speed across a range of hardware and easily integrate with other AI tools
- Trained on 13 trillion tokens for 27B, 8 trillion for 9B, and 2 trillion for 2.6B model (en route)
27B performs better than Llama3-70B and Nemotron-340B on Lmsys Arena, making it best in its size and stronger than some larger models. While 9B outperforms the likes of Mistral-large and Qwen1.5-110B.
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The 27B Gemma 2 model is designed to run inference efficiently at full precision on a single Google Cloud TPU host, NVIDIA A100 80GB Tensor Core GPU, or NVIDIA H100 Tensor Core GPU. Moreover, this is an open weights model line, currently only available to researchers and developers.
Source: https://blog.google/
OpenAI’s CriticGPT finds GPT-4’s mistakes with GPT-4
OpenAI trained a model based on GPT-4, called CriticGPT, to catch errors in ChatGPT’s code output. It found that when users get help from CriticGPT to review ChatGPT code, they outperform those without help 60% of the time.
OpenAI aligns GPT-4 models to be more helpful and interactive through Reinforcement Learning from Human Feedback (RLHF). A key part of RLHF is collecting comparisons in which people, called AI trainers, rate different ChatGPT responses against each other.
OpenAI is beginning to integrate CriticGPT-like models into its RLHF labeling pipeline, providing trainers with explicit AI assistance.
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Source: https://openai.com/
Google’s partnerships to help AI with real-world facts
Google is partnering with reputable third-party services, such as Moody’s, MSCI, Thomson Reuters, and Zoominfo, to ground its AI with real-world data. These four will be available within Vertex AI starting next quarter. They will offer developers qualified data to backstop their model outputs and ensure responses are factually accurate.
Google is also announcing high-fidelity grounding. Available through an experimental preview, it’s designed to help AI systems work better with a given set of specific information.
Source: https://venturebeat.
A Daily chronicle of AI Innovations June 28th 2024:
Google releases Gemma 2, a set of lightweight but powerful open LLMs
OpenAI’s CriticGPT finds GPT-4’s mistakes with GPT-4
Google partners with Moody’s, Thomson Reuters & more for AI data
OpenAI’s critics train smarter AI systems
TIME and OpenAI announced a multi-year content deal
Google is using AI to add 110 new languages to Google Translate
YouTube is in talks with major record labels for an AI music deal
Meta to start testing user-created AI chatbots on Instagram
Character.AI now allows users to talk with AI avatars over calls
OpenAI’s critics train smarter AI systems
OpenAI just published new research exploring how to improve model training using AI ‘critics’ that help human trainers spot errors in AI outputs more effectively.
- OpenAI developed a model called CriticGPT to assist human trainers in evaluating and catching errors in code written by AI systems like ChatGPT.
- In tests, CriticGPT caught 85% of inserted bugs in AI-generated code, compared to just 50% for human reviewers alone.
- Human trainers also preferred CriticGPT’s code critics over their own 63% of the time on naturally occurring bugs.
- OpenAI said that CriticGPT-type models are already being integrated into the company’s training workflow, helping prepare for advancing AI systems.
As OpenAI states in the research paper, both LLMs and AI critics will continue to scale — human intelligence will not. The limitations of our own puny mortal brains look to be no match for evaluating systems that are continuing to soar, meaning AI is quickly becoming its own trainer.
Source: https://openai.com/index/finding-gpt4s-mistakes-with-gpt-4
Google releases Gemma 2, a set of lightweight but powerful open LLMs
Google has released Gemma 2 set of models that punch above their weight classes. Available in 9B and 27B parameter sizes, these models are
- Higher performing and more efficient at inference than the first-generation
- Have significant safety advancements built in
- Optimized to run at incredible speed across a range of hardware and easily integrate with other AI tools
- Trained on 13 trillion tokens for 27B, 8 trillion for 9B, and 2 trillion for 2.6B model (en route)
27B performs better than Llama3-70B and Nemotron-340B on Lmsys Arena, making it best in its size and stronger than some larger models. While 9B outperforms the likes of Mistral-large and Qwen1.5-110B.
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The 27B Gemma 2 model is designed to run inference efficiently at full precision on a single Google Cloud TPU host, NVIDIA A100 80GB Tensor Core GPU, or NVIDIA H100 Tensor Core GPU. Moreover, this is an open weights model line, currently only available to researchers and developers.
Why does it matter?
The models sound like they are built for practical deployments. They come in practical sizes so that they can be easily deployed while being amazing in quality due to best-in-class performances.
Source: https://blog.google/technology/developers/google-gemma-2/
OpenAI’s CriticGPT finds GPT-4’s mistakes with GPT-4
OpenAI trained a model based on GPT-4, called CriticGPT, to catch errors in ChatGPT’s code output. It found that when users get help from CriticGPT to review ChatGPT code, they outperform those without help 60% of the time.
OpenAI aligns GPT-4 models to be more helpful and interactive through Reinforcement Learning from Human Feedback (RLHF). A key part of RLHF is collecting comparisons in which people, called AI trainers, rate different ChatGPT responses against each other.
OpenAI is beginning to integrate CriticGPT-like models into its RLHF labeling pipeline, providing trainers with explicit AI assistance.
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Why does it matter?
With more advances in reasoning and model behavior, AI models’ mistakes can become more subtle for AI trainers to spot. CriticGPT is a step towards addressing this fundamental limitation of RLHF.
Source: https://openai.com/index/finding-gpt4s-mistakes-with-gpt-4
Google partners with Moody’s, Thomson Reuters & more for AI data
Google is partnering with reputable third-party services, such as Moody’s, MSCI, Thomson Reuters, and Zoominfo, to ground its AI with real-world data. These four will be available within Vertex AI starting next quarter. They will offer developers qualified data to backstop their model outputs and ensure responses are factually accurate.
Google is also announcing high-fidelity grounding. Available through an experimental preview, it’s designed to help AI systems work better with a given set of specific information.
Why does it matter?
Earlier, Google announced efforts to ground Vertex AI results using web data and a plan to allow companies to ground AI systems in their own internal data.
Now, it is grounding these systems in known factual data from third parties, which could significantly lessen hallucinations and make AI more trustworthy for enterprise customers.
Source: https://venturebeat.com/ai/google-grounding-ai-with-moodys-msci-thomson-reuters-zoominfo
What Else Is Happening in AI on June 27th 2024
TIME and OpenAI announced a multi-year content deal
OpenAI will gain access to current and historic content from TIME’s extensive archives from the last 101 years to enhance its products. It will also enable TIME to gain access to OpenAI’s technology to develop new products for its audiences.
Source: https://openai.com/index/strategic-content-partnership-with-time
Google is using AI to add 110 new languages to Google Translate
It is Google’s largest expansion ever, thanks to its PaLM 2 LLM. It includes languages like Cantonese, NKo, and Tamazight, representing more than 614 million speakers and opening up translations for around 8% of the world’s population.
Source: https://blog.google/products/translate/google-translate-new-languages-2024/
YouTube is in talks with major record labels for an AI music deal
It is offering to pay Universal Music Group (UMG), Sony Music Entertainment, and Warner Records “lump sums of cash” in exchange for legally licensing their songs to train new AI music tools. These will likely be one-off payments, not royalty-based arrangements. Source: https://www.theverge.com/2024/6/27/24187151/youtube-ai-music-deals-licensing-record-labels-sony-umg-warner
Meta to start testing user-created AI chatbots on Instagram
CEO Mark Zuckerberg announced yesterday that Meta will begin to surface AI characters made by creators through Meta AI studio on Instagram, starting in the U.S. These will primarily show up in messaging for now and will be clearly labeled as AI.
Source: https://techcrunch.com/2024/06/27/meta-starts-testing-user-created-ai-chatbots-on-instagram
Character.AI now allows users to talk with AI avatars over calls
Users can initiate calls with a user-generated AI character directly with a button tap. Users can also switch between calling and texting seamlessly and stop the AI from talking through a “Tap to interrupt” option. The feature currently supports only a few languages.
Source: https://www.reuters.com/technology/artificial-intelligence/ai-chatbot-startup-characterai-launches-new-calls-feature-2024-06-27
Use ChatGPT to turn docs into spreadsheets
With a simple prompt, ChatGPT can analyze documents, answer questions, perform calculations, and create a downloadable spreadsheet — all in one conversation!
- Log in to ChatGPT and upload your document to the chat (remember to remove any sensitive data before submitting).
- Ask questions about it, e.g., “How much is the security deposit?”
- Request calculations, like the total first month’s costs, including deposits and fees.
- Simple prompt ChatGPT to “create a downloadable budget spreadsheet”, specifying the time frame and desired columns.
Note: Only share documents you’re comfortable with. Be cautious with sensitive information and consider redacting critical details before uploading.
Source: https://university.therundown.ai/c/daily-tutorials/from-lease-agreement-to-budget-spreadsheet-with-chatgpt-0ed8d7ba-7d5a-4e9f-903a-64822caf1579
A Daily chronicle of AI Innovations June 27th 2024:
YouTube wants to pay record labels to use their songs for AI training
Figma unveils AI-powered design tools, challenges Adobe’s dominance
Character.AI introduces AI avatar calls
Amazon steps into the chatbot race
Alibaba’s Qwen-72B tops the Hugging Face leaderboard
Hugging Face updates Open LLM Leaderboard
NBC to use AI voice for Olympics recaps!
Sonia’s ‘AI Therapist’ sparks debate
Anthropic extends Claude’s access to government
YouTube wants to pay record labels to use their songs for AI training
- YouTube is reportedly negotiating with major music labels like Sony Music Entertainment, Universal Music Group, and Warner Records to pay for licensing their songs for AI training.
- Despite these negotiations, the ultimate decision to allow the use of songs for AI training will likely fall to individual artists rather than the labels themselves.
- In April 2023, more than 200 artists voiced their opposition to AI using their work, emphasizing the potential threat to creators’ rights and the music ecosystem.
Source: https://www.engadget.com/youtube-reportedly-wants-to-pay-record-labels-to-use-their-songs-for-ai-training-125052503.html
Figma unveils AI-powered design tools, challenges Adobe’s dominance
- Figma has launched AI-powered design features to speed up workflows and aid teams in creating superior software, positioning it as a product development platform to compete with Adobe.
- The new Figma AI features include design creation with text prompts, visual search capabilities, layer renaming, and automating repetitive tasks, and are currently available in a limited beta.
- While beta access to Figma AI is free, later availability will require subscriptions to specific plans, and admins must enable AI features, differentiating Figma’s approach from Adobe’s controversial AI terms.
Source: https://venturebeat.com/ai/figma-unveils-ai-powered-design-tools-to-rival-adobe/
Character.AI introduces AI avatar calls
- Character.AI announced that users can now make calls to AI characters, supporting multiple languages including English, Spanish, Portuguese, Russian, Korean, Japanese, and Chinese.
- The company reported that during testing, over 3 million users made 20 million calls, and noted that AI character calls can help with language practice, mock interviews, or role-playing games.
- With a button tap, users can start calls with AI characters, seamlessly switch between calling and texting, and use a “Tap to interrupt” feature to stop the AI from talking.
Source: https://techcrunch.com/2024/06/27/character-ai-now-allows-users-to-talk-with-avatars-over-calls/
Amazon steps into the chatbot race
Amazon is reportedly working on a new consumer-focused chatbot codenamed “Metis.” It is planned to be released somewhere around September. Here’s what we know about it:
- The chatbot is powered by a new model, Olympus, and can be accessed via a web browser.
- It uses a retrieval-augmented generation (RAG) technique to provide up-to-date information and automate tasks.
- The model conversationally provides text and image-based outputs, suggesting follow-ups to queries. It also shares links to sources and supports image generation.
- It uses an infrastructure similar to Amazon’s upcoming voice assistant, Remarkable Alexa.
Why does it matter?
The AI assistant market is already too crowded, making Metis’ release seem a bit too late. Its rivals, OpenAI and Google, have already launched their models in 2023 and will give tough competition to Amazon. If Amazon wishes to win this AI race, Metis must showcase exceptional capabilities.
Source: https://www.businessinsider.com/amazon-chatgpt-rival-codenamed-metis-2024-6
Figma’s new AI features stir competition with Adobe
Figma announced a range of new features at the 2024 Config conference. Significant ones include a UI redesign, generative AI tools, new icons and toolbar, AI-enhanced asset search, and auto-generated texts in designs.
https://x.com/figma/status/1806016455609286847
For instance, by typing a simple prompt into the textbox, users can create an entire app design mock-up for a restaurant. Figma will connect the design pages and even write suggested content!
Figma has also added a few designer-specific features to allow users to tweak designs in real-time. It features a developer mode with a “ready-for-dev” task list. The upgrade also boasts Figma slides, a Google slides-like tool for building and sharing presentations.
Why does it matter?
Figma’s AI tools will enable newer users on the platform to test out ideas easily. At the same time, tools like “ready-for-dev” will offer quick iterations to users who are more familiar with the platform.
With Adobe abandoning its plans to acquire Figma, the company’s recent upgrade might pose a challenge to the former.
Source: https://www.figma.com/whats-new/
Alibaba’s Qwen-72B tops the Hugging Face leaderboard
Hugging Face’s latest open large language model leaderboard ranks and evaluates open LLMs based on benchmarks like MMLU-pro and tests them on high-school and college-level problems.
The platform used 300 NVIDIA H100 GPUs to re-evaluate major open LLMs to obtain updated rankings. Chinese company Alibaba’s Qwen-72B dominated the leaderboard, becoming a top performer overall.
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Not just that, the leaderboard was mainly dominated by Chinese companies, highlighting their headway into the open LLM space.
Why does it matter?
The open LLM leaderboard is essential for transparent and comprehensive LLM evaluation. It also proves that a model’s size doesn’t guarantee its superior performance. As Chinese models deliver exceptional performance, will well-known models from the USA, like Meta’s Llama, be replaced in the coming years?
Source: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
What Else Is Happening in AI on June 27th 2024
Anthropic extends Claude’s access to government
Anthropic is making Claude 3 Haiku and Claude 3 Sonnet available for government use through the AWS marketplace. This will improve citizen services, streamline document reviews, support data-based policymaking, and generate realistic training scenarios.
Source: https://www.anthropic.com/news/expanding-access-to-claude-for-government?
Opera announces new themes and features for One R2
Major features include AI-based image and voice generation, image understanding capabilities, floating windows, new themes, design elements, and split window tabs.
Source: https://press.opera.com/2024/06/26/opera-unveils-opera-one-r2-in-developer
NBC to use AI voice for Olympics recaps!
The AI will offer daily, personalized coverage of the 2024 Paris Olympics on the Peacock app in the voice of the famous sports commentator, AI Michael. According to NBC, the voice AI is trained on data from Michael’s appearances on the show.
Source: https://www.nbcnews.com/news/nbc-use-ai-generated-version-al-michaels-voice-summer-olympics-rcna159108
Caption’s new feature can auto-edit videos!
The feature adds custom graphics, zooms, music, sound effects, transitions, and motion backgrounds to an unedited video. Users can also use Caption’s AI avatars to create videos and fully edit them with the AI edit feature.
Source: https://www.captions.ai/
Sonia’s ‘AI Therapist’ sparks debate
The personalized AI therapist can deal with depression, stress, anxiety, poor sleep, and more by analyzing what users say during therapy sessions. The release has sparked a debate around user data privacy, its susceptibility to bias, and the accuracy of its diagnosis. Source: https://www.soniahealth.com/
Hugging Face updates Open LLM Leaderboard
Hugging Face just introduced a new upgrade to its Open LLM Leaderboard, adding new benchmarks and evaluation methods to help address the recent plateau in LLM performance gains.
- The leaderboard now features six new benchmarks designed to be more challenging and less prone to contamination.
- Initial rankings show Qwen2-72B-Instruct leading the pack, followed by Meta’s Llama-3-70B-Instruct and Mixtral 8×22b.
- A new normalized scoring system adjusts for baseline performance, providing a more fair comparison across different evaluation types.
- The upgrade also introduces a ‘maintainer’s highlight’ category and community voting system to prioritize the most relevant models.
As LLMs approach human-level performance on most tasks, finding new ways to evaluate them is becoming more difficult — and more crucial. This revamp helps guide researchers and developers towards more targeted improvements, providing a more nuanced assessment of model capabilities.
Source: https://huggingface.co/spaces/open-llm-leaderboard/blog
Rabbit R1 hit with major security flaw
A group of developers just discovered a major vulnerability in Rabbit’s R1 AI assistant device, potentially exposing user’s private data and chat responses.
- A community-led group called Rabbitude uncovered hardcoded API keys in Rabbit’s codebase, which allowed access to all R1 responses.
- The group gained access to the codebase in mid-May, saying the Rabbit team was aware of the issue but failed to take action.
- Rabbitude said the vulnerability could allow bad actors to disable all r1 devices, alter voices and responses, and access private messages.
- Rabbit acknowledged an ‘alleged data breach’ via a Discord post, but claims no customer data was leaked.
Despite massive hype in the first wave of consumer AI standalone devices, the Rabbit r1 has been nothing short of a disaster so far. Already facing major criticism over the companion’s limited capabilities, this security breach only furthers the skepticism surrounding the early AI hardware market entrants.
Source: https://rabbitu.de/articles/security-disclosure-1?
A Daily chronicle of AI Innovations June 26th 2024:
Anthropic rolls out Claude’s cutting-edge collaborative features
Google experiments with celebrity-inspired AI Chatbots
OpenAI postpones the launch of ChatGPT voice mode
New AI simulates 500M years of evolution
OpenAI delays ChatGPT voice upgrade
Anthropic rolls out Claude’s cutting-edge collaborative features
Anthropic has introduced new collaboration features for Claude. These features include:
- Projects: Projects in Claude allow integration of internal resources like style guides or codebases, enhancing Claude’s ability to deliver tailored assistance across various tasks. Users can set custom instructions for each Project to modify Claude’s tone or perspective for a specific role or industry.
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- Artifacts: It allows users to generate and edit various content types like code, documents, and graphics within a dedicated window. This benefits developers by offering larger code windows and live previews for easier front-end reviews.
- Sharing Features: Claude Team users can share snapshots of their best conversations with Claude in their team’s shared project activity feed.
Additionally, any data or chats shared within Projects will not be used to train Anthropic’s generative models without a user’s explicit consent.
Why does it matter?
By offering advanced AI collaboration tools, Anthropic meets critical enterprise needs for flexibility and team efficiency, where many of its competitors fall short. This approach could broaden its user base, increasing user retention and market penetration.
Source: https://www.anthropic.com/news/projects
Google experiments with celebrity-inspired AI Chatbots
These chatbots will be powered by Google’s Gemini family of LLMs. The company aims to strike partnerships with influencers and celebrities and is also working on a feature that allows people to create their own chatbots by describing their personalities and appearances.
The project is led by Ryan Germick, a longtime executive at Google and a team of ten. These chatbots could be an experiment and may only appear on Google Labs rather than being widely available.
Why does it matter?
Google’s AI chatbots featuring celebrities and influencers enhance user engagement but raise ethical concerns about consent, boundaries, and legal and privacy issues as AI evolves.
Source: https://www.msn.com/en-us/news/other/google-wants-to-build-ai-chatbots-based-on-celebs-influencers-for-some-reason/ar-BB1oS1or
OpenAI postpones the launch of ChatGPT voice mode
Originally planned for late June, the Voice Mode aims to provide a more naturalistic and conversational experience with the AI chatbot, complete with emotional inflection and the ability to handle interruptions.
However, it will now be available only to a small group of users in late July or early August. OpenAI is working on improving content detection and user experience before wider rollout. GPT-4o’s real-time voice and vision capabilities are also expected to roll out to ChatGPT Plus users soon.
Why does it matter?
Delays can give competitors like Anthropic a chance to gain an edge. If rivals manage to launch similar or superior voice capabilities sooner, OpenAI risks losing potential users and market share.
Source: https://techcrunch.com/2024/06/25/openai-delays-chatgpts-new-voice-mode
New AI simulates 500M years of evolution
Biotech startup EvolutionaryScale just introduced ESM3, a new AI model capable of designing and simulating new proteins in ways that mimic millions of years of natural evolution.
- ESM3 is a frontier language model that can reason over protein sequences, structures, and functions simultaneously.
- In tests, ESM3 generated a new fluorescent protein 58% different from other known structures — a leap that typically takes nature 500M years of evolution.
- The largest version of ESM3 has 98B parameters, and was trained on approximately 1.8T tokens of biological data.
- EvolutionaryScale was created by former META researchers, and has already secured $142M in seed funding from tech giants like Amazon and Nvidia.
ESM3 is bringing us closer to a future where we can ‘program’ biology as easily as we write computer code — potentially revolutionizing fields from healthcare to environmental science and unlocking completely new areas of knowledge across fields.
Source: https://www.evolutionaryscale.ai/blog/esm3-release
What Else Is Happening in AI on July 26th 2024
Ex-Meta engineers launch protein-generating AI biology model
EvolutionaryScale, launched by ex-Meta engineers, introduced ESM3, a gen AI model for designing novel proteins. It uses AI to simulate evolutionary processes, aiming to revolutionize industries like medicine and biofuels. It is available via API to selected customers and non-commercial users.
Source: https://venturebeat.com/ai/meta-alum-launches-ai-biology-model-that-simulates-500-million-years-of-evolution
Reddit sets new barriers for AI crawlers to protect its content
Reddit will rate-limit or block unknown bots and crawlers that violate its Public Content Policy or lack an agreement with the platform. These changes aim to deter AI companies from training LLMs on Reddit content (excluding the $60 million deal with Google).
Source: https://techcrunch.com/2024/06/25/reddits-upcoming-changes-attempt-to-safeguard-the-platform-against-ai-crawlers
AI-generated ad film debuts at Cannes 2024
Toys ‘R’ Us, the iconic toy store chain, collaborated with OpenAI’s Sora to produce a brand film called “The Origin of Toys ‘R’ Us.” The film premiered at the 2024 Cannes Lions International Festival of Creativity.
Source: https://venturebeat.com/ai/toys-r-us-unveils-first-commercial-made-with-openais-sora
Mozilla’s Firefox Nightly now lets users pick from leading AI chatbots
It allows users to choose from multiple AI chatbots, such as ChatGPT, Google Gemini, HuggingChat, and Le Chat Mistral. The feature lets users select their preferred AI to perform tasks such as summarizing web content, simplifying text, or conducting quizzes.
Source: https://techcrunch.com/2024/06/25/firefox-now-lets-you-choose-your-preferred-ai-chatbot-in-its-nightly-builds
Google extends Gemini AI to Gmail to streamline email tasks
Google has integrated its Gemini AI into Gmail for Workspace subscribers, enhancing email functionality. It assists users by automatically drafting emails, summarizing threads, crafting responses, and retrieving information from emails or Google Drive.
Source: https://techcrunch.com/2024/06/25/google-brings-its-gemini-ai-to-gmail-via-a-sidebar-that-can-help-you-write-and-summarize-emails
A Daily chronicle of AI Innovations June 25th 2024:
Amazon is working on a ChatGPT competitor
Google is building AI chatbots modeled after celebrities, YouTube influencers
Nvidia’s market value plummets drastically
Apple rejected Meta’s AI integration over privacy issues
OpenAI buys a remote collaboration platform
Synthesia 2.0: World’s 1st AI video communication platform
OpenAI is on an acquiring spree, buying Rocket and Multi
Record labels sue AI music startups over copyright infringement
Amazon is working on a ChatGPT competitor
- Amazon is developing an AI chatbot, code-named “Metis,” to compete with OpenAI’s ChatGPT, and it could be launched later this year, based on a report from Business Insider.
- The upcoming chatbot will be accessed through a web browser and rely on a new foundational model, as mentioned by sources and documents cited by Business Insider.
- Amazon’s CEO Andy Jassy is reportedly directly involved with “Metis,” reflecting Amazon’s broader strategy to intensify its AI efforts across various applications and services.
- Source: https://www.geekwire.com/2024/
report-amazon-developing-ai- chatbot-that-would-compete- with-chatgpt-and-others/
Google is building AI chatbots modeled after celebrities, YouTube influencers
- Google is reportedly developing new AI chatbots modeled after celebrities and YouTube influencers, aiming to create specialized interactive experiences.
- The initiative will use Google’s Gemini family of large language models and seeks partnerships with influencers and celebrities, allowing users to design their own chatbots by describing traits and appearance.
- The project, led by executive Ryan Germick and a team of ten, might initially be available only on Google Labs, keeping the bots experimental and not widely accessible at launch.
- Source: https://www.engadget.com/
google-is-reportedly-building- ai-chatbots-based-on- celebrities-and-influencers- 235731655.html
Nvidia’s market value plummets drastically
- Nvidia’s shares dropped nearly 13% in a week, causing a loss of $430 billion from its market value and dropping its market capitalization to $2.91 trillion.
- This decline has moved Nvidia from the top position to third place among the world’s most valuable companies, now trailing behind Microsoft and Apple.
- Investor enthusiasm for Nvidia’s role in AI is waning after significant stock gains, leading to a 6.7% drop on Monday, the third consecutive day of declines for the company.
- Source: https://edition.cnn.com/2024/
06/25/tech/nvidia-stock-fall- worlds-third-biggest-company/ index.html
Apple rejected Meta’s AI integration over privacy issues
- Apple declined a potential AI partnership with Meta concerning the integration of Meta’s large language model into iOS, primarily due to privacy concerns highlighted in a Bloomberg report.
- While initial discussions between Apple and Meta took place, they did not advance, with Apple choosing not to pursue formal talks or integration due to Meta’s insufficient privacy practices.
- Despite rejecting Meta, Apple has engaged in collaborations with other major AI entities, finalizing a deal with OpenAI to integrate ChatGPT into iOS 18 and discussing potential integrations with Google and Anthropic for diverse AI model options.
- Source: https://www.macrumors.com/
2024/06/24/apple-meta-ai- privacy-concerns/
OpenAI buys a remote collaboration platform
- OpenAI is advancing its AI technology by integrating it into desktop computing, moving beyond browser-based interactions with the acquisition of startup Multi.
- By purchasing Multi, OpenAI aims to develop potentially a new AI-based operating system or at least an interaction layer for current systems, as suggested by recent product releases including a ChatGPT desktop app.
- OpenAI’s future AI assistant could replace traditional browsers, altering the role of search engines and websites, and revolutionizing how we interact with online content.
- Source: https://the-decoder.com/
openai-moves-toward-its-own- ai-operating-system-and-a- post-browser-world/
Synthesia 2.0: World’s 1st AI video communication platform
Synthesia is launching Synthesia 2.0 – the world’s first AI video communications platform for businesses. It reinvents the entire video production process, allowing companies to create and share AI-generated videos at scale easily.
https://youtu.be/gZaBwdru_bk?
The key new features and capabilities of Synthesia 2.0 include:
- 2 Personal AI Avatars: Expressive Avatars shot in a studio and Custom Avatars created using your webcam.
- AI Video Assistant: Converts text, documents, or websites into high-quality videos, with options to customize the branding, tone, and length.
- Intuitive Video Editing: Editing simplified with “Triggers” that let you control animations and edits from the script.
- Translation and Dynamic Video Player: Videos can now be translated into over 120 languages. Synthesia is also building a new video player with interactive features.
- AI Safety Focus: Synthesia is pursuing ISO/IEC 42001 certification, the first standard for responsible AI management, to ensure its AI technologies are ethical.
Why does it matter?
By making video creation and distribution more accessible and automated, Synthesia aims to help businesses transition to a “video-first” approach to communicate more effectively, improve employee training, customer service, and marketing efforts, and streamline various business operations.
Source: https://www.synthesia.io/post/
OpenAI is on an acquiring spree, buying Rocket and Multi
Last week, OpenAI acquired Rockset, a startup that develops tools for real-time data search and analytics. OpenAI said it would integrate Rockset’s technology to power its infrastructure and offerings across products.
This week, OpenAI acquired Multi, a startup focused on building remote collaboration tools and software. Technically, the deal is an acqui-hire as the entire Multi team, including its co-founders, will join OpenAI to work on the company’s ChatGPT desktop application.
Why does it matter?
With over 600,000 paid business users, including most Fortune 500 companies, OpenAI’s back-to-back acquisitions strategically position it to expand its enterprise-focused AI products and make its powerful language models more useful for businesses.
Source: https://techcrunch.com/2024/
Record labels sue AI music startups over copyright infringement
The world’s major record labels, including Universal Music Group, Sony Music, and Warner Music, have filed twin lawsuits against the AI music generation startups Suno and Udio. The lawsuits accuse the companies of unlawfully training their AI models on massive amounts of copyrighted music, which, according to the complaints, allows the startups to generate similar-sounding music without permission.
The record labels allege Suno and Udio have effectively copied artists’ styles and specific musical characteristics. The labels claim the AI-generated music is so close to the original that it is eerily similar when transcribed into sheet music. The lawsuits also accuse the startups of making it easy for people to distribute AI-created samples that mimic copyrighted recordings on platforms like Spotify.
Why does it matter?
This legal battle is only the latest example, and one of many, of AI technology colliding with creative industries. However, any resolution of these battles will likely have far-reaching implications for the music industry and the development of AI-powered music tools.
What Else Is Happening in AI on June 25th
Apple withdraws AI collaboration deal with Meta over privacy concerns
Contrary to the rumors about a potential AI collaboration, Apple is not planning a partnership to integrate Meta’s AI models into its products due to privacy concerns. Instead, Apple is focusing on partnerships with OpenAI and Google that align with its commitment to user privacy.
Shopify expands its AI capabilities to attract more businesses
Shopify has expanded access to its AI-powered features, including the Sidekick assistant and image-generation tool. It is making these AI tools available to more users, as it aims to provide merchants with an integrated and seamless platform to scale their businesses.
Google is bringing Gemini access to teens through school accounts
Google now makes its AI assistant Gemini available to teenage students through school accounts. This move is aimed at helping prepare students for a future where generative AI is more prevalent. Google says Gemini will provide real-time feedback and support to students while including safeguards to prevent inappropriate responses.
NVIDIA deploys its AI tech in the Middle East among U.S AI export curb
NVIDIA has struck a deal with Qatari telecom provider Ooredoo to deploy its AI technology in the Middle East. This move comes amid U.S. export restrictions on advanced AI chips to some countries in the region. Ooredoo will be the first company in the Middle East to offer Nvidia’s AI and graphics technology to its clients across multiple countries.
Meta marks real photos with ‘Made by AI’ label
Meta has been incorrectly labeling real photos as “Made by AI.” Multiple photographers have reported that Meta has added this label to their genuine photographs, even when they have only made minor edits using tools like Adobe’s Generative Fill. Meta says it relies on industry standards to detect AI-generated content, leading to false positives.
Source: https://www.theverge.com/2024/
A Daily chronicle of AI Innovations June 24th 2024:
Apple and Meta are discussing gen AI partnership
ByteDance and Broadcom collaborate on AI chip development
Researchers developed a new method to detect hallucinations
Apple in talks with Meta for potential AI integration
Record labels sue AI music companies
AI blood test for Parkinson’s detection
Researchers just developed an AI-powered blood test that can predict Parkinson’s disease up to 7 years before symptoms appear, potentially revolutionizing early diagnosis and treatment.
- The AI analyzes key markers in blood samples linked to inflammation and protein degradation, attempting to predict which patients would develop the disease.
- In a 10-year study, the test correctly identified 79% of patients who later developed Parkinson’s.
- The AI model predicted Parkinson’s up to 7 years before clinical symptoms emerged in some cases.
- Researchers hope to develop a simple finger-prick version for widespread screenings.
AI’s ability to find subtle patterns in previously undetectable biological data is unlocking new diagnostic capabilities. By catching a debilitating disease years before the onset of symptoms, patients can get earlier access to treatment aimed at prevention.
Source: https://www.bbc.com/news/articles/c722yly6l6ro
Apple in talks with Meta for potential AI integration
- Apple is reportedly negotiating with Meta to integrate Meta’s generative AI model into Apple’s new AI system, Apple Intelligence, according to The Wall Street Journal.
- Apple is seeking partnerships with multiple AI companies, including Meta, to enhance its AI capabilities and catch up in the competitive AI race.
- A potential collaboration between Apple and Meta would be significant due to their history of disagreements, and it could greatly impact the AI industry if successful.
- Source: https://www.benzinga.com/news/24/06/39447797/apple-eyes-meta-for-potentially-game-changing-ai-partnership-report
Record labels sue AI music companies
- Universal Music Group, Sony Music Entertainment, and Warner Records are suing AI companies Suno and Udio for massive copyright infringement related to the creation of original songs using generative AI technology.
- The music labels claim that Suno and Udio used copyrighted works without permission, and are seeking damages of up to $150,000 per violated work in lawsuits filed in Boston and New York federal courts.
- This legal action is part of a broader conflict between the music industry and tech companies offering AI tools, highlighting concerns about AI-generated music impacting the control and revenue of human artists.
- Source: https://www.theverge.com/2024/6/24/24184710/riaa-ai-lawsuit-suno-udio-copyright-umg-sony-warner
Apple and Meta are discussing gen AI partnership
Apple is reportedly in talks with its longtime rival Meta to integrate the latter’s Llama 3 AI model into Apple Intelligence. This move comes as Apple prepares to roll out its AI features across iPhones, iPads, and Macs later this year.
The potential partnership follows Apple’s existing deal with OpenAI, suggesting a collaboration strategy rather than solo development in the AI race. In Apple’s arrangement with OpenAI, there’s no direct payment. Instead, OpenAI can offer premium subscriptions through Apple Intelligence, with Apple taking a percentage. It’s unclear if Meta would agree to a similar business model, given that Llama 3 is open-source and free to access.
Why does it matter?
Despite their historical rivalry, especially after Apple’s 2021 privacy changes impacted Meta’s ad revenue, this potential partnership suggests a willingness to cooperate in the AI race. However, not everyone is thrilled about it. Users and investors are voicing concerns about privacy, with Meta’s track record being a major sticking point. Some see this as a desperate move by Apple.
Source: https://www.wsj.com/tech/ai/apple-meta-have-discussed-an-ai-partnership-cc57437e
ByteDance and Broadcom collaborate on AI chip development
ByteDance is collaborating with U.S. chip designer Broadcom to develop an advanced AI processor. This partnership aims to secure a stable supply of high-end chips amid ongoing U.S.-China tensions. The project centers on creating a 5-nanometre, customized Application-Specific Integrated Chip (ASIC) that complies with U.S. export restrictions.
This chip’s manufacturing is set to be outsourced to Taiwan Semiconductor Manufacturing Company (TSMC), though production is not expected to begin this year. While the design work is currently underway, the critical “tape out” phase has yet to commence.
Why does it matter?
This partnership shows how Chinese tech companies are getting creative to secure advanced AI chips. As ByteDance has launched a major push in generative AI, this new initiative brings dual benefits: reducing procurement costs and ensuring a stable supply of higher-end chips.
Source: https://www.reuters.com/technology/artificial-intelligence/chinas-bytedance-working-with-broadcom-develop-advanced-ai-chip-sources-say-2024-06-24
Researchers developed a new method to detect hallucinations
ChatGPT and Gemini can produce impressive results but often “hallucinate” false or unsubstantiated information. This research focuses on a subset of hallucinations called “confabulations,” where LLMs generate answers that are both wrong and arbitrary. Researchers have developed new methods to detect confabulations using entropy-based uncertainty estimators. They introduce the concept of “semantic entropy” to measure the uncertainty of LLM generations at the meaning level.
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High semantic entropy corresponds to high uncertainty and indicates a higher likelihood of confabulation. The method computes uncertainty at the level of meaning rather than specific word sequences, addressing the fact that one idea can be expressed in many ways. The method provides scalable oversight by detecting confabulations that people might otherwise find plausible.
Why does it matter?
Detecting confabulations can improve question-answering accuracy for state-of-the-art LLMs. The method helps users understand when to be cautious with LLM outputs and opens up new possibilities for using LLMs that were previously limited by unreliability.
Source: https://www.nature.com/articles/s41586-024-07421-0
What Else Is Happening in AI on June 24th 2024
Stability AI has appointed a new CEO
Prem Akkaraju, former CEO of Weta Digital, will step up to this role. This change comes after founder Emad Mostaque resigned in March amid financial concerns. Akkaraju is part of a new investor group, including former Facebook President Sean Parker, that provides a cash infusion to Stability AI. Source: https://www.theinformation.com/articles/stability-ai-gets-new-ceo-and-a-bailout-from-investor-group-led-by-sean-parker
Coders spotted Midjourney references in Grok’s standalone version
It hints at a possible collaboration between xAI and Midjourney for image generation. Grok might use Midjourney models via API to generate images. This could mean that the standalone Grok might let users upload images. All this could be part of the Grok 1.5 rollout. Source: https://www.bolnews.com/technology/2024/06/grok-1-5-potential-use-of-midjourney-for-image-generation-gains-evidence
YouTube fights AI fakes with new policy
YouTube expanded its privacy policy to cover AI-generated content. Now, users can request the removal of synthetic media that imitates their face or voice. However, privacy complaints alone may not guarantee content removal. While reviewing requests, YouTube will consider the potential for confusion and intent (parody/satire). Source: https://support.google.com/youtube/thread/281049221
OmniAI transforms unstructured enterprise data for AI and analytics use
Founded by Y Combinator alums, OmniAI syncs with your existing storage, prep the data, and lets you run your choice of AI models on the data. It offers integrations with popular models like Meta’s Llama 3 and Anthropic’s Claude. Source: https://techcrunch.com/2024/06/22/omniai-transforms-business-data-for-ai
The new Dot AI chatbot wants to be your companion
Dot chatbot aims to personalize interactions based on users’ thoughts and feelings. It uses multiple AI models from OpenAI and Google. The app uses intensive Q&A to learn about users’ interests and experiences. Dot offers a subscription model at $11.99/month for unlimited conversations. Source: https://techcrunch.com/2024/06/21/dots-ai-really-really-wants-to-get-to-know-you
| Y Combinator joined over 140 AI startup founders in signing a letter opposing California’s Senate Bill 1047 on AI regulation, arguing it harms the ability to retain talent and stifles innovation. Source: https://www.politico.com/newsletters/california-playbook/2024/06/21/little-tech-brings-a-big-flex-to-sacramento-00164369 |
| Formula 1 and AWS unveiled ‘Statbot’, an AI-powered system that provides real-time context, trivia, and predictions for personalized race broadcasts. Source: https://www.bloomberg.com/news/articles/2024-06-23/formula-1-and-amazon-aim-for-ai-powered-personalized-race-viewing |
| OpenAI announced the acquisition of Rockset, with the search and database analytics startup’s tech set to boost retrieval infrastructure for enterprise products. https://openai.com/index/openai-acquires-rockset |
| Axel Peytavin demonstrated a small, autonomous robot prototype powered by GPT-4o that can see, think and act based on prompts, with capabilities like picking up trash and shaking hands. Source: https://x.com/ax_pey/status/1804209628680720746 |
| OpenAI CTO Mira Murati said in an interview that the next generation of GPT will be ‘PhD-level’ compared to GPT-3 (toddler) and GPT-4 (high school), and will be released in a year and a half. Source: https://x.com/tsarnick/status/1803901130130497952 |
| Unitree posted new demos of its Go2 robotic dog performing handstands, flips, and withstanding and adjusting to force, showing extreme precision and agility. Source: https://x.com/UnitreeRobotics/status/1803728664213012520 |
A Daily chronicle of AI Innovations June 20th 2024:
Microsoft debuts a vision-foundational model for diverse tasks
Ex-OpenAI co-founder launches own AI company
Can AI read minds? New model can predict anxiety levels
😱 Sutskever launches new AI venture
🚧 Tech giants team up on AI factory for xAI
🚨 Perplexity faces legal action
OpenAI co-founder announces new AI company
Anthropic announces its most powerful AI yet
EU Council withdraws Chat Control vote
Apple Intelligence plans face legal challenges in China
Microsoft debuts a vision-foundational model for diverse tasks
Florence 2, Microsoft’s vision-AI model, can perform diverse tasks like object detection, captioning, visual grounding, and visual question answering via image and text prompts. It displays excellent captioning, object detection, visual grounding, and segmentation.
The model comes in 232M and 771M parameter sizes and uses a sequence-to-sequence architecture, enabling multiple vision tasks without needing a task-specific architecture modification.
On fine-tuning the model with publicly available human-annotated data, Florence 2 showcased impressive results, offering tough competition to existing large vision models like Flamingo despite its compact size.
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Why does it matter?
The model will equip enterprises with a standard approach to handling various vision-handling applications. This will save resources spent on separate task-specific vision models that need fine-tuning. Moreover, it may also be useful to developers as it would eliminate the need for separate vision models for smaller tasks, significantly saving compute costs.
Source: https://www.microsoft.com/en-us/research/publication/florence-2-advancing-a-unified-representation-for-a-variety-of-vision-tasks
Ex-OpenAI co-founder launches own AI company
Just a month after leaving OpenAI, ex-cofounder Ilya Sutskever has launched his own AI company, Safe Superintelligence Inc. (SSI), alongside former Y Combinator partner Daniel Gross and ex-OpenAI engineer Daniel Levy as co-founders.
According to the SSI’s launch statement on X, the company will prioritize safety, progress, and security. Sutskever also emphasizes that the company’s “singular focus” on a joint approach to safety and capabilities will prevent it from being distracted by management overhead or production cycles, unlike companies like OpenAI or Google.
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Why does it matter?
SSI’s launch clearly marks the emergence of a new key player in the race to build safe, powerful AI. Its mission statement emphasizes safety and the potential for groundbreaking developments that may shape the future of AI research and development. It would be interesting to see whether the startup will uphold its mission statement in the coming days.
Source: https://ssi.inc/
Can AI read minds? New model can predict anxiety levels
Researchers at the University of Cincinnati have developed an AI model that can identify people with an urgent risk of anxiety. The AI model uses minimal computational resources, a short picture rating task, and a small set of variables to make the prediction. The approach named “Comp Cog AI” integrates computational cognition and AI.
Participants rated 48 pictures with mildly emotional subject matter based on the degree to which they liked or disliked those pictures. The response data was then used to quantify the mathematical features of their judgments. Finally, the data was combined with ML algorithms to identify their anxiety levels.
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Since the technology doesn’t rely on a native language, it is accessible to a wider audience and diverse settings to assess anxiety.
Why does it matter?
The picture rating feature can provide unbiased data to medical professionals on a person’s mental health status without subjecting them to direct questions that may trigger negative emotions. Given its 81% accuracy rate, the tool can become a useful app for detecting individuals with high anxiety risks.
Source: https://www.nature.com/articles/s44184-024-00074-x.epdf
Anthropic announces its most powerful AI yet
- Anthropic has launched Claude 3.5 Sonnet, a new AI model that aims to be on par with, or superior to, OpenAI’s GPT-4o and Google’s Gemini across various tasks.
- Claude 3.5 Sonnet claims to be significantly faster than its predecessor and outperforms it, even surpassing other leading models in multiple benchmarks.
- Alongside the new model, Anthropic introduced the Artifacts feature, which allows users to interact with and edit Claude’s outputs directly within the app, enhancing its functionality beyond a typical chatbot.
- Source: https://www.theverge.com/2024/6/20/24181961/anthropic-claude-35-sonnet-model-ai-launch
Apple Intelligence plans face legal challenges in China
- Apple’s push to enhance its artificial intelligence capabilities faces significant challenges in China due to the country’s stringent AI regulations and censorship laws.
- China’s strict regulation of AI, including rules about language models and data protection, means Apple must navigate approvals and potentially partner with local tech giants like Baidu and Alibaba.
- Apple’s focus on user privacy and the need for localized AI experiences may help it gain regulatory approval but also present significant hurdles in ensuring compliance and acceptance in the Chinese market.
- Source: https://www.cnbc.com/2024/06/20/apple-ai-push-faces-big-challenges-in-china.html
🚧 Tech giants team up on AI factory for xAI
Dell, Nvidia, and Super Micro Computer are collaborating to build an AI factory for xAI’s massive supercomputer, which will train and scale its Grok AI chatbot.
- Dell is assembling half of the server racks for xAI’s planned supercomputer, with Super Micro handling the other half.
- The system aims to use up to 100,000 Nvidia H100 GPUs, potentially making it 4x larger than the biggest existing AI clusters.
- Musk wants the supercomputer to be fully operational by Fall 2025 to accelerate the development of advanced Grok models.
This powerhouse partnership shows the staggering scale of compute power required to push the boundaries of AI. With huge capital flowing in, this massive cluster could provide a critical edge in evolving Grok to be a serious competitor to the likes of OpenAI and Anthropic.
Source: https://www.fastcompany.com/91143745/dell-super-micro-musk-xai-supercomputer-server-racks
🚨 Perplexity faces legal action
News publisher Forbes is reportedly threatening legal action against AI search startup Perplexity, alleging the company’s chatbot stole and republished original reporting without proper attribution.
- Forbes claims Perplexity’s chatbot summarized one of its investigative articles, copying with minimal sourcing.
- The AI-generated version was then pushed to Perplexity subscribers and turned into a YouTube video that outranked Forbes’ own content.
- Perplexity CEO Aravind Srinivas responded that the product still has “rough edges”, and the company is working on ways to align with publishers.
- A WIRED investigation found Perplexity scraping sites that actively blocked crawlers, while also hallucinating info and containing incorrect attributions.
Tensions between AI firms and media companies continue to escalate. While legal grounds surrounding scraping and repurposing with AI are still murky, publishers are in a bind when it comes to protecting IP. The only viable options right now seem to be cashing out with licensing deals or taking legal action.
Source: https://www.axios.com/2024/06/18/forbes-perplexity-ai-legal-action-copyright
What Else Is Happening in AI on June 20th 2024
Deloitte, HPE, and NVIDIA partner up! The alliance combines Deloitte’s deep industry expertise and AI capabilities with the newly released HPE NVIDIA AI Compute solutions suite. The collaboration further seeks to advance industry-specific gen AI applications and assist clients across sectors in modernizing their data strategies by accessing innovative insights.
Source: https://www.prnewswire.com/news-releases/deloitte-announces-collaboration-with-hewlett-packard-enterprise-and-nvidia-on-co-developed-generative-ai-solutions-302175762.html
NVIDIA’s AI can turbocharge deployment of self-driving cars: NVIDIA has unveiled a new AI software, Omniverse Cloud Sensor RTX, that will likely accelerate the development of self-driving cars and robots.
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The software combines real-world data with synthetic data, making it easy to test sensor perception in realistic virtual environments before deployment into the actual world.
Source: https://nvidianews.nvidia.com/news/omniverse-microservices-physical-ai
YouTube trials AI-powered “Ask for music” feature: The feature seeks to make searching music more conversational for users. Users can search for music using voice commands and verbal prompts. It is speculated that the feature may be an addition to the AI-generated playlist cover available on YouTube.
Source: https://www.business-standard.com/topic/youtube
Luma adds an “extend video” feature to Dream Machine: In contrast to Luma’s previous five-second limit for videos, the “extend video” feature will allow videos to be extended based on prompts. The AI model will consider the new context while extending the video. Additionally, the upgrade will enable Standard, Pro, and Premier users to remove watermarks.
Source: https://x.com/LumaLabsAI/status/1803098863097835995
Apple releases 20 core ML models on Hugging Face: The release includes 4 major datasets in addition to 20 core models as a part of Apple’s efforts to equip developers with advanced on-device AI capabilities.
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These core ML models have been optimized to run exclusively on users’ devices and can be used for various applications like image classification, depth estimation, and semantic segmentation.
Source: https://huggingface.co/apple
A Daily chronicle of AI Innovations June 19th 2024:
Nvidia is now the world’s most valuable company
Perplexity AI is lying about their user agent
Meta releases new AI models for text, image and audio
Ex-Snap engineer launches social network where AIs and humans coexist
OpenAI and Color Health join forces to accelerate cancer treatment
Meta unveils new AI models for audio, text, and watermarking
Notion introduces AI Connectors for Slack & Google Drive integration
🎺 TikTok brings AI to content creation
Nvidia is now the world’s most valuable company
- Nvidia surpassed Microsoft to become the world’s most valuable company, reaching a market cap of $3.34 trillion, driven by its focus on artificial intelligence and expanded robotics research.
- The company’s stock price increased by 3.7%, putting it ahead of Microsoft’s $3.33 trillion market cap, while Apple ranks third with a market cap of $3.28 trillion.
- Nvidia’s rise is fueled by partnerships and advancements in AI and robotics, including a new collaboration with Hewlett Packard to launch NVIDIA AI Computing and Private Cloud AI, along with significant projects with major AI developers like Google, Meta, Microsoft, and OpenAI.
- Source: https://decrypt.co/235988/nvidia-flips-microsoft-top-tech-company
Perplexity AI is lying about their user agent
- WIRED and developer Robb Knight found that Perplexity’s crawler ignores the Robots Exclusion Protocol, accessing content from sites that have blocked it, including Condé Nast properties.
- Perplexity CEO Aravind Srinivas describes the product as an “answer engine,” but the chatbot has been found to paraphrase articles without proper attribution and sometimes fabricate information entirely.
- An experiment by WIRED demonstrated that Perplexity sometimes generates content without accessing the actual webpage, raising concerns about the accuracy and ethics of its information-gathering methods.
- Source: https://www.wired.com/story/perplexity-is-a-bullshit-machine/
Meta releases new AI models for text, image and audio
- Meta’s Fundamental AI Research team introduced new models such as Chameleon, a multimodal model for text and images, and JASCO, a text-to-music model accepting various inputs like chords or beats.
- Meta’s Chameleon can handle and generate text and images, with its 7B and 34B variants available for research under a non-commercial license.
- The company launched AudioSeal, an audio watermarking technology, which can identify AI-generated speech, released under a commercial license for recognizing speech in lengthy audio segments.
- Source: https://the-decoder.com/meta-releases-new-ai-models-for-text-image-and-audio/
Ex-Snap engineer launches social network where AIs and humans coexist
- Butterflies, founded by former Snap engineer Vu Tran, is a social network allowing humans and AI personas (called Butterflies) to interact through posts, comments, and direct messages, launching publicly on iOS and Android after five months in beta.
- Users can easily create Butterfly personas with backstories, emotions, and opinions, which then autonomously generate content that other users and AIs can engage with, aiming to provide a more immersive AI experience compared to traditional chatbots.
- The app received $4.8 million in seed funding led by Coatue and has mostly been used for entertainment, with potential plans for subscription models and brand interactions in the future.
- Source: https://techcrunch.com/2024/06/18/former-snap-engineer-launches-butterflies-a-social-network-where-ais-and-humans-coexist/
OpenAI and Color Health join forces to accelerate cancer treatment
In collaboration with OpenAI, Color Health has developed a copilot application that leverages OpenAI’s GPT-4.o model to assist clinicians in accelerating cancer treatment. Here’s how it works:
- Integration of medical data: The copilot integrates patient medical data with clinical knowledge using OpenAI’s APIs. It processes and normalizes vast unstructured data such as family history, individual risk factors, and clinical guidelines.
- Tailored treatment plans: Based on this data, the copilot generates customized, comprehensive treatment plans. These plans answer critical questions like “What screenings should the patient be doing?” and identify missing diagnostics.
- Clinician-in-the-loop workflow: A clinician evaluates the copilot’s output at each step. They can modify it if necessary before presenting it to the patient.
- Assured privacy: Color Health ensures HIPAA compliance and maintains rigorous privacy standards while providing clinician oversight to ensure high-quality care.
Why does it matter?
The tool identifies missing diagnostics and expedites the analysis of complex medical records – a process that can now be completed in just 5 minutes rather than hours or weeks. This not only improves access to critical expertise but also has the potential to catch cancer or pre-cancerous conditions earlier, enabling faster treatment and better patient outcomes.
Source: https://openai.com/index/color-health
Meta unveils new AI models for audio, text, and watermarking
Meta’s Fundamental AI Research (FAIR) team has recently released several new AI models and tools for researchers to use. Here are the highlights:
- JASCO: This AI model, short for “Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation,” allows users to adjust features of generated sound (such as chords, drums, and melodies) through text inputs. FAIR plans to release the JASCO inference code under an MIT license and the pre-trained model under a non-commercial Creative Commons license.
- AudioSeal: This tool adds watermarks to AI-generated speech. It’s designed specifically for localized detection of AI-generated segments within longer audio snippets and will be released with a commercial license.
Chameleon: FAIR will release two sizes of its multimodal text model, Chameleon (7B and 34B), under a research-only license. These models can handle tasks requiring visual and textual understanding, such as image captioning.
Why does it matter?
By making these tools publicly available, Meta encourages collaboration within the AI community, which could lead to groundbreaking applications in various fields, such as music creation, sound design, and content generation. Moreover, the introduction of AudioSeal addresses the growing need to identify and attribute AI-generated content, promoting transparency and accountability in an increasingly AI-driven world.
Source: https://venturebeat.com/ai/meta-releases-flurry-of-new-ai-models-for-audio-text-and-watermarking
Notion introduces AI Connectors for Slack & Google Drive integration
With AI Connectors, users can query Notion and receive responses from connected apps. The integration allows for selecting specific public channels or all public channels for information retrieval, excluding private channels and direct messages.
Notion AI can access up to a year of historical Slack content, which may take up to 36 hours. Additionally, users can set up various interactions between Notion and Slack, such as sending Slack messages to a Notion database, creating Notion tasks directly from Slack, and receiving notifications in Slack for specific events in Notion
Why does it matter?
This development demonstrates the growing trend of incorporating AI capabilities into mainstream productivity and collaboration platforms. The ability to intelligently pull in and surface relevant information from external platforms helps streamline workflows, enhance productivity, and improve the overall efficiency of the team.
Source: https://x.com/NotionHQ/status/1803096151526137934
🧠 AI model predicts anxiety levels
Researchers at the University of Cincinnati just developed a new AI system that can predict anxiety levels using a short picture rating task and a small set of demography and psychological variables.
- Comp Cog AI combines principles from psychology with machine learning to measure human decision-making patterns related to anxiety.
- Participants rate a series of emotion-evoking pictures and answer a few contextual questions about their age, income, employment, etc.
- The model extracts 15 ‘judgment variables’ that capture patterns in how users weigh positive and negative outcomes in decision-making.
- In tests, the model predicted whether participants had higher or lower anxiety with up to 81% accuracy.
While anxiety disorders are extremely prevalent, they’re also often challenging and time-consuming to diagnose. With AI’s ability to connect data patterns and achieve reliable predictions, the tech could soon enable more efficient screenings to streamline assessment and treatment time.
Source: https://www.nature.com/articles/s44184-024-00074-x.epdf
What Else Is Happening in AI on June 19th 2024
Google transitions DeepMind from research to AI product development
This transition involves merging Google Research’s Brain team with DeepMind, creating a unified group called Google DeepMind. The aim is to enhance the development of advanced AI technologies responsibly. However, this move has led to frustration among some researchers due to new guidelines and the pressure to commercialize AI technologies.
Source: https://www.pymnts.com/google/2024/google-reportedly-moving-deepmind-from-research-to-ai-products
ElevenLabs’ new open-source AI tool adds sound effects to videos
The app extracts four frames from the video and sends them with a prompt to OpenAI’s GPT-4 to generate a text-to-sound effects prompt. This prompt is used by ElevenLabs’s Sound Effects API to create the sound effect, which is then combined with the video into a single file up to 22 seconds long, ready for download.
Source: https://venturebeat.com/ai/elevenlabs-unveils-open-source-creator-tool-for-adding-sound-effects-to-videos
Snap unveils advanced gen AI for enhanced AR effects
Snap’s latest iteration of gen AI allows users to see more realistic special effects. It plans to create full-body AR experiences rather than just facial AR experiences, such as generating a new outfit. It also announced an upgraded version of its developer program, Lens Studio, which lets artists and developers create AR features for Snapchat or other websites and apps.
Source: https://www.reuters.com/technology/snap-launches-ai-tools-advanced-augmented-reality-2024-06-18
Hedra Labs launches Character-1, a multimodal creation studio preview
Hedra Labs has launched a preview of Character-1, a model for creating expressive characters that talk, sing, and rap. It offers infinite duration (30s in open preview) and generates 90s content per 60s of input, hardware permitting. This is part of Hedra’s mission to give creators control over dialogue, movement, and virtual worlds.
Source: https://x.com/hedra_labs/status/1803095713112580475
Ex-Snap engineer launches AI-human social network, Butterflies
The platform allows users to create AI avatars, called “Butterflies,” that can engage in conversations, generate images, and participate in social activities like human users. The app offers a range of features, including creating and customizing AI characters and exploring a feed filled with AI-generated and human-generated content.
Source: https://techcrunch.com/2024/06/18/former-snap-engineer-launches-butterflies-a-social-network-where-ais-and-humans-coexist
🎺 TikTok brings AI to content creation
TikTok just launched Symphony, a new suite of AI features to help brands and creators produce content more efficiently on the platform — including digital avatars, translation tools, an AI assistant, and more.
- Symphony Digital Avatars enable brands to generate AI spokespeople to star in their TikTok ads and branded content across multiple languages.
- Brands can choose from a selection of ‘stock avatars’ based on real actors or create custom avatars to serve as virtual brand reps.
- A new AI Dubbing tool automatically transcribes, translates, and dubs videos into 10+ languages, helping brands scale content globally.
- TikTok’s Creative Assistant has been rebranded to Symphony Assistant, a chatbot to help with brainstorming, writing scripts, and optimizing content for the platform.
The creator economy is about to be completely remade with AI, and these tools will unlock new opportunities for optimized content, reach, and creation — but the rise of digital ‘spokespeople’ will also raise new questions on authenticity and consumer trust that brands will need to grapple with.
Source: https://www.tiktok.com/business/en-US/blog/tiktok-symphony-ai-creative-suite
AI Jobs on June 9th 2024:
Anthropic – Head of Events: https://jobs.therundown.ai/jobs/63479075-head-of-events
Tempus – Analyst, NEXT Strategy & Operations: https://jobs.therundown.ai/jobs/63500064-analyst-next-strategy-operations- Fiddler AI – Staff UI/UX Designer: https://jobs.therundown.ai/jobs/63473287-staff-ui-ux-designer
Glean – GTM Recruiter: https://jobs.therundown.ai/jobs/63498594-gtm-recruiter
A Daily chronicle of AI Innovations June 18th 2024:
OpenAI expands into healthcare with AI tool for cancer screening
NATO invests $1.1 billion in AI, space, and robotics defence tech
Apple halts work on Vision Pro
Google DeepMind’s new AI can generate soundtracks for videos
Runway launches new model Gen-3 Alpha
China’s DeepSeek Coder V2 beats GPT-4 Turbo
🔊 DeepMind creates sound for videos
Apple halts work on Vision Pro
- Apple has paused development on the second-generation Vision Pro headset to concentrate on a more affordable version, according to The Information.
- The company reportedly began working on this cheaper Vision device, codenamed “N109,” in 2022, aiming to sell it for a price similar to a high-end iPhone.
- Even though Apple plans to use the high-end display components from the Vision Pro in the budget model, it still faces challenges in reducing costs without removing too many features.
- Source: https://www.macrumors.com/2024/06/18/apple-suspends-work-on-vision-pro-2/
OpenAI expands into healthcare with AI tool for cancer screening
- OpenAI has partnered with Color Health to integrate artificial intelligence into cancer screening and treatment procedures using their GPT-4o model.
- The AI assistant developed by Color Health processes patient data to create personalized cancer screening strategies and informs doctors of missing diagnostic tests.
- The AI tool also helps in assembling a cancer pretreatment work-up, expediting the process that can take weeks or months, and thus potentially reducing delays in treatment.
- Source: https://www.newsbytesapp.com/news/science/openai-partners-with-color-health-for-cancer-copilot/story
NATO invests $1.1 billion in AI, space, and robotics defence tech
- NATO has started its €1 billion investment in defence technology, focusing on AI, space, and robotics, by funding four European tech firms and four venture capital funds.
- The NATO Innovation Fund, established in 2022, aims to address contemporary defence and security challenges by matching government buyers with start-ups to develop new technologies.
- Initial recipients of the fund include Germany’s ARX Robotics, UK’s Fractile AI, iComat, and Space Forge, with the broader aim of promoting NATO’s technological sovereignty and innovation ecosystems.
- Source: https://www.euronews.com/next/2024/06/18/nato-begins-its-1-billion-investment-in-ai-space-and-robotics-defence-tech
Google DeepMind’s new AI can generate soundtracks for videos
DeepMind is developing video-to-audio (V2A) technology to generate rich soundtracks for silent videos generated by AI models. V2A combines video pixels with natural language text prompts to create synchronized audiovisual content. The technology offers enhanced creative control, allowing users to guide the audio output using positive and negative prompts.
What sets DeepMind’s V2A apart is its ability to understand raw pixels and generate audio without manual alignment. However, V2A struggles with artifacts or distortions in videos and generates audio that is not super convincing. As DeepMind continues to gather feedback from creators and filmmakers, they remain committed to developing this technology responsibly.
Why does it matter?
The technology could help revive and enhance historical footage, silent films, and other archival material. However, generative AI tools like V2A also threaten to disrupt the film and TV industry, potentially eliminating jobs without strong labor protections.
Source: https://deepmind.google/discover/blog/generating-audio-for-video
Runway launches new model Gen-3 Alpha
Runway launched Gen-3 Alpha, its latest AI model for generating video clips from text descriptions and still images. Gen-3 Alpha excels at generating expressive human characters with a wide range of actions, gestures, and emotions and can interpret various styles and cinematic terminology. However, it has limitations, including a maximum video length of 10 seconds, and struggles with complex character and object interactions and following the laws of physics precisely.
Runway partnered with entertainment and media organizations to create custom versions of Gen-3 for more stylistically controlled and consistent characters, targeting specific artistic and narrative requirements. They also have implemented safeguards, such as a moderation system to block attempts to generate videos from copyrighted images and a provenance system to identify videos coming from Gen-3.
Why does it matter?
As competition in AI video generation heats up, Runway’s Gen-3 Alpha empowers artists and filmmakers to create high-quality, controllable videos with ease, pushing the boundaries of storytelling and creative possibilities.
Source: https://runwayml.com/blog/introducing-gen-3-alpha
China’s DeepSeek Coder V2 beats GPT-4 Turbo
Chinese AI startup DeepSeek has announced the release of DeepSeek Coder V2, an open-source code language model. It is built upon the DeepSeek-V2 MoE model and excels at coding and math tasks, supporting over 300 programming languages. It outperforms state-of-the-art closed-source models like GPT-4 Turbo, Claude 3 Opus, and Gemini 1.5 Pro, making it the first open-source model to achieve this feat. DeepSeek Coder V2 also maintains comparable performance in general reasoning and language capabilities.
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The model is being offered under an MIT license, which allows for research and unrestricted commercial use. It can be downloaded or accessed via API on DeepSeek’s platform.
Why does it matter?
DeepSeek aims to “unravel the mystery of AGI with curiosity” and has quickly emerged as a notable Chinese player in the AI race. As it only costs $0.14/1M tokens(input) and $0.28/1M tokens(output), it will give notable models like GPT-4 Turbo intense competition.
Source: https://github.com/deepseek-ai/DeepSeek-Coder-V2/blob/main/paper.pdf
🔊 New AI Jobs Opportunities on June 18th 2024
- Glean – UX Designer: https://jobs.therundown.ai/jobs/63229234-ux-designer
Fiddler AI – Staff AI Scientist: https://jobs.therundown.ai/jobs/63187617-staff-ai-scientist
Notable – Product Operations Manager: https://jobs.therundown.ai/jobs/63204832-product-operations-manager- Findem – Data Analyst: https://jobs.therundown.ai/jobs/63102512-data-analyst
What Else Is Happening in AI on June 18th 2024
Perplexity now displays weather, currency conversion, and simple math directly through cards
This move aims to keep users from going to Google for such results. Perplexity’s CEO, Aravind Srinivas, acknowledged that Google handles basic queries like weather, time, and live sports scores well, and his company had work to do in that area.
Source: https://techcrunch.com/2024/06/17/perplexity-now-displays-results-for-temperature-currency-conversion-and-simple-math-so-you-dont-have-to-use-google
U.S. government and private sector ran the first AI attack simulation
Federal officials, AI model operators, and cybersecurity companies ran the first joint simulation of a cyberattack on a critical AI system. It also involved experts from private sector companies like Microsoft, Nvidia, and OpenAI. It helped identify potential new threats and establish communication channels between the government and the private sector.
Source: https://www.axios.com/2024/06/17/cisa-tech-companies-ai-cyberattack-simulation
Adobe Acrobat got a major upgrade, bringing AI to PDFs and more
Adobe Firefly generative AI enables image generation and editing directly within Acrobat for the first time. Acrobat AI Assistant’s new features, “insights across documents” and “enhanced meeting transcripts,” help users extract insights and share information from various document types. Adobe is offering free, unlimited access to Acrobat AI Assistant from June 18 to June 28.
Source: https://blog.adobe.com/en/publish/2024/06/17/adobe-acrobat-reimagines-documents-multi-format-ai-powered-work
TikTok introduces gen AI avatars of creators and stock actors for ads
“Custom Avatars” allow creators to scale their likeness for multilingual avatars and brand collaborations, while brands can use pre-built “Stock Avatars” to add a human touch. Plus, the new “AI Dubbing” tool translates content into ten languages, helping creators and brands increase their global reach.
Source: https://newsroom.tiktok.com/en-us/announcing-symphony-avatars
Pixelbot 3000 builds Lego art using simple AI prompts
YouTuber Creative Mindstorms designed and built the Pixelbot 3000, a Lego printer that automates the assembly of brick-built mosaics. It uses OpenAI’s DALL-E 3 to generate images based on simple text prompts. First it generates a simplified cartoon-style image, then it is divided into a 32 x 32 grid, and the color of the center pixel in each square is sampled to create a high-contrast scaled image for the mosaic.
Source: https://www.theverge.com/2024/6/17/24180250/lego-printer-pixel-art-artificial-intelligence
| Adobe integrated new Firefly AI capabilities into Acrobat, allowing users to create and edit images within PDFs using text prompts — also adding the ability to access an AI assistant for insights, content creation, and more. https://news.adobe.com/news/news-details/2024/Adobe-Reimagines-Acrobat-Bringing-Firefly-AI-to-PDFs-and-Expanding-Use-Across-More-Document-Types/default.aspx |
| Reuters Institute of Journalism published a new report finding growing public wariness of AI-generated news content, with many expressing discomfort about its potential impact on content reliability and trust. https://www.reuters.com/technology/artificial-intelligence/global-audiences-suspicious-ai-powered-newsrooms-report-finds-2024-06-16 |
| The U.S. Navy is deploying AI-powered underwater drones to better detect threats, with plans to expand the tech’s use in identifying enemy ships and aircrafts. https://finance.yahoo.com/news/ai-equipped-underwater-drones-helping-153947268.html |
| Luma teased new control features coming to its Dream Machine video model, including the ability to quickly change scenes and precisely edit characters — also launching the ability to extend video and remove watermarks. https://x.com/LumaLabsAI/status/1802678788490494128 |
| Anthropic published new research showing that AI models can engage in ‘reward tampering’, learning to cheat the system and grant higher rewards even without specific training. https://www.anthropic.com/research/reward-tampering |
A Daily chronicle of AI Innovations June 17th 2024:
McDonald’s pauses AI drive-thru tests
Chinese startup creates realistic robots
Photographer wins AI-image contest with real picture, gets disqualified
NVIDIA’s AI model for synthetic data generation rivals GPT-4
Meta pauses AI model training in EU due to regulatory pushback
Spotify launches ‘Creative Labs’ to test Gen AI voiceover ads
Tiny LLM matches GPT-4 on math
McDonald’s pauses AI drive-thru tests
- McDonald’s is ending its artificial intelligence drive-thru order-taking program and will shut it off in all participating restaurants by July 26, 2024.
- The decision to end the AI program came after a thorough review, and McDonald’s Chief Restaurant Officer stated the company will seek broader voice ordering solutions.
- Although the AI drive-thru program showed successes, McDonald’s aims to simplify operations and speed up service, with plans to decide on a new voice ordering solution by the end of the year.
- Source: https://www.foxbusiness.com/technology/mcdonalds-ending-ai-drive-thru-ordering
Photographer wins AI-image contest with real picture, gets disqualified
- A photographer named Miles Astray won an AI-image competition with a real photograph of a head-scratching flamingo, resulting in his disqualification.
- His entry, titled F L A M I N G O N E, was mistakenly awarded third place by judges from notable institutions like the New York Times and Christie’s.
- Astray aimed to demonstrate that human creativity and natural beauty surpass AI-generated content, sparking a discussion about the ethical implications of using AI in art.
- Source: https://www.techspot.com/news/103422-photographer-wins-ai-image-contest-real-picture-gets.html
NVIDIA’s AI model for synthetic data generation rivals GPT-4
NVDIAI has released Nemotron-4 340B, an open-source pipeline for generating high-quality synthetic data. It includes a base model trained on 9M tokens, an instruction, and a reward model.
- The instruction model can generate diverse synthetic data that mimics real-world data.
- The reward model then evaluates the generated data to filter out high-quality responses.
- This interaction between the two models produces better training data over time.
Note: 98% of the training data used to fine-tune the Instruct model is synthetic and was created using NVIDIA’s pipeline.
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In benchmarks such as MT-Bench, MMLU, GSM8K, HumanEval, and IFEval, the Instruct model generally performs better than other open-source models such as Llama-3-70B-Instruct, Mixtral-8x22B-Instruct-v0.1, and Qwen-2-72B-Instruct, and in some tests, it even outperforms GPT-4o.
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It also performs comparable to or better than OpenAI’s GPT-4-1106 in human evaluation for various text tasks, such as summaries and brainstorming. The technical report provides detailed benchmarks.
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Why does it matter?
This development allows businesses to create powerful, domain-specific LLMs without the need for extensive, costly real-world datasets. It has significant potential impacts across various industries, such as healthcare (drug discovery, personalized medicine, medical imaging), finance (fraud detection, risk assessment, customer service), manufacturing (predictive maintenance, supply chain optimization), and retail (personalized customer experiences).
Source: https://blogs.nvidia.com/blog/nemotron-4-synthetic-data-generation-llm-training
Meta pauses AI model training in EU due to regulatory pushback
In response to the regulatory pressure from the Irish Data Protection Commission and the UK’s Information Commissioner’s Office, Meta has decided to pause its plans to train its large language model, Llama, using public content shared by Facebook and Instagram users in the European Union and the UK.
The regulators expressed concerns about Meta’s plan to use this user-generated content to train its AI systems without obtaining explicit user consent. Meta relied on a GDPR provision called “legitimate interests” to justify this data usage, but the regulators felt this was insufficient. Meta has decided to delay the launch of its AI chatbot in Europe until it can address the regulators’ concerns and establish a more transparent user consent process.
Why does it matter?
Meta’s inability to use EU user data for AI training is a setback for its regional AI ambitions. It could disadvantage Meta against competitors who can leverage such data. This situation highlights the ongoing tensions between tech companies’ desire to utilize consumer data for AI development and regulators’ efforts to protect user privacy. Striking the right balance between innovation and privacy will be a major challenge as the AI race intensifies.
Spotify launches ‘Creative Labs’ to test Gen AI voiceover ads
Spotify has launched a new in-house creative agency called “Creative Lab.” This agency will help brands and advertisers create custom campaigns for Spotify’s platform. Creative Lab teams in different markets will provide local insights and collaborate with brands to develop campaigns through workshops, inspiration sessions, and collaborative ideation.
In addition, Spotify is also testing a new AI tool called “Quick Audio” that will allow brands to create scripts and voiceovers using generative AI technology. This new capability will be integrated into Spotify’s ad manager platform, giving advertisers more options to produce audio ads for Spotify’s audience of over 615 million listeners.
Why does it matter?
This move emphasizes Spotify’s ambition to become a full-service advertising platform. Marketers and advertisers will have new creative and production capabilities available through Spotify to better reach the platform’s large and engaged user base in unique ways, including potentially using AI-generated audio ads. This could disrupt traditional advertising models and open new possibilities for how brands connect with consumers on audio platforms.
Source: https://techcrunch.com/2024/06/13/spotify-creative-labs-ad-agency-for-advertisers
Chinese startup creates realistic robots
A Chinese startup called Ex-Robots is developing ultra-realistic humanoid robots that can closely mimic human facial expressions and emotions.
- Ex-Robots’ lifelike humanoid robots can smile, frown, and replicate subtle facial movements using small motors embedded in the silicone faces.
- The startup uses multimodal AI and algorithms to enable the robots to recognize and express emotions based on perceiving their environment.
- Creating one humanoid robot currently takes 2-4 weeks, with costs as high as $275k per unit.
- The company said near-term use cases include museum exhibits, with eventual roles in healthcare, therapy, and child services.
The advancement of ultra-realistic robots combined with the power of AI is about to create some bizarre new frontiers. Will humans be creeped out by an actual human-looking humanoid over mechanical options like Tesla’s Optimus? It’s unclear if the world is ready… but we’ll find out soon.
Tiny LLM matches GPT-4 on math
Shanghai AI Laboratory researchers just developed a new algorithm called MCT Self-Refine, which allowed a relatively small 8B-parameter model to achieve GPT-4 level performance on complex math.
- MCT Self-Refine combines an 8B LLaMa model with Monte Carlo Tree Search, an AI technique famously used by Google DeepMind to master the game of Go.
- The algorithm constructs a search tree, refining answers through a series of processes and self-evaluation.
- On the GSM-Hard math word problem benchmark, infusing the Monte Carlo Tree Search took the 8B model from 25.5% accuracy to 45.5%.
- The model also achieved 96.7% on the GSM8K benchmark, outperforming significantly larger models like GPT-4, Claude, and Gemini.
The research shows it’s possible to boost math capabilities without massive scale — and GPT-4 level performance with a model trained on 200x less parameters is an impressive feat. If the approach proves to be a more efficient path to advanced reasoning, we could be on the cusp of a new wave of model acceleration.
Source: https://arxiv.org/pdf/2406.07394
New AI Jobs on June 17th 2024
- Abridge – Senior Product Designer: https://jobs.therundown.ai/jobs/63255899-senior-product-designer
- Palantir Technologies – Software Engineer, New Grad: https://jobs.therundown.ai/jobs/63248966-software-engineer-new-grad-us-government
Fiddler AI – Staff AI Scientist: https://jobs.therundown.ai/jobs/63187617-staff-ai-scientist- Meta – Software Engineer – ML Systems: https://jobs.therundown.ai/jobs/63275347-software-engineer-ml-systems-technical-leadership
What Else Is Happening in AI on June 17th 2024
Apple enters the AI icon race to find a logo that makes sense
Apple has joined other tech giants like Google, OpenAI, Anthropic, and Meta in the race to find an iconic visual representation for AI. No company has yet created an unambiguous “AI logo” that conveys the concept to users. AI’s lack of a clear visual identity reflects the difficulty of representing such a broad and evolving technology in a simple icon.
Source: https://techcrunch.com/2024/06/15/apple-joins-the-race-to-find-an-ai-icon-that-makes-sense
Niloom.AI launches gen AI content creation platform for spatial computing
Without extensive technical expertise, the platform allows users to create, prototype, edit, and instantly publish sophisticated AR/VR content using text or speech prompts. It consolidates the entire creative process, from ideation to publishing, and integrates with various third-party tools to provide a one-stop solution for spatial computing content creation.
AI to delete abusive posts against athletes during the 2024 Paris Olympics
The International Olympic Committee (IOC) will deploy AI at the 2024 Paris Olympics to automatically detect and erase abusive social media posts directed at athletes and officials. The AI tool will monitor posts about 15,000 athletes and officials and immediately remove any content involving hate speech, bullying, or political attacks.
Picsart and Getty team up to counter Adobe’s “commercially-safe” AI
Picsart has partnered with Getty Images to develop a “responsible, commercially-safe” AI image generator tool. The AI model will be trained exclusively on Getty’s licensed stock content to address concerns about AI-generated content violating copyright laws. Picsart hopes to provide a viable alternative to Adobe’s Firefly by leveraging Getty’s library of licensed images. Source: https://www.theverge.com/2024/6/14/24178333/picsart-getty-commercially-safe-ai-image-tool-adobe
Yahoo News gets an AI-powered revamp with Artifacts integration
Yahoo has acquired the technology behind the Artifact news aggregation app and is launching a new AI-powered Yahoo News app. The app will feature a personalized news feed based on user interests and a “Key Takeaways” feature that provides bullet-point summaries of articles. Users can also flag problematic content, which the AI will then try to rewrite.
Source: https://www.theverge.com/2024/6/13/24177980/yahoo-news-app-launch-artifact-ai-architecture
A Daily chronicle of AI Innovations June 14th 2024:
Google’s PH-LLM reads your wearables’ data for personalized insights
Ex-OpenAI researcher on what to expect from AI in next decade
DeepMind built ‘a virtual rodent’ with AI to understand brain activity
AI chatbots run for office
LinkedIn is rolling out new AI-powered features for premium users
Synthflow’s AI voice assistants are now multilingual!
Picsart is partnering with Getty Images to develop a custom model for AI imagery
Former head of NSA joins OpenAI’s Safety and Security Committee
Google’s PH-LLM reads your wearables’ data for personalized insights
Building on the next-gen capabilities of Gemini models, Google has presented research that highlights two complementary approaches to providing accurate personal health and wellness information with LLMs.
The first introduces PH-LLM, a version of Gemini fine-tuned to understand and reason on time-series personal health data from wearables such as smartwatches and heart rate monitors. The model answered questions and made predictions noticeably better than experts with years of experience in the health and fitness fields.
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In the second paper, Google introduces an agent system that leverages state-of-the-art code generation and information retrieval tools to analyze and interpret behavioral health data from wearables. Combining these two ideas will be critical for developing truly personalized health assistants.
Why does it matter?
Wearables generate a wealth of personal health data that is rarely utilized in clinical settings. Integrating this data with advanced AI models could revolutionize personal health management and preventative care by putting an “expert health assistant” on everyone’s wrist.
Source: https://research.google/blog/advancing-personal-health-and-wellness-insights-with-ai
Ex-OpenAI researcher on what to expect from AI in next decade
A researcher fired from OpenAI, Leopold Aschenbrenner, published a 165-page essay on what to expect from AI in the next decade. And GPT-4 has summarized it! Here are some key takeaways from the essay:
- By 2027, AI models could reach the capabilities of human AI researchers and engineers, potentially leading to AI surpassing human intelligence
- Trillions of dollars are being invested into developing the infrastructure needed to support these AI systems
- Controlling AI systems smarter than humans(the ‘superalignment‘ problem) will be crucial to prevent catastrophic outcomes
- Only a few hundred people truly understand the scale of change AI is about to bring
Why does it matter?
The essay provides a rare insider’s perspective on the rapid progression of AI. Coming from someone deeply involved in cutting-edge AI development, the insights highlight the urgency to get ahead of managing risks before AI’s capabilities outpace our defenses.
Source: https://ca.news.yahoo.com/researcher-fired-openai-published-165-184227878.html
DeepMind built ‘a virtual rodent’ with AI to understand brain activity
Researchers from Google DeepMind and Harvard built a ‘virtual rodent’ powered by AI to help them better understand how the brain controls movement. With deep reinforcement learning (RL), it learned to operate a biomechanically accurate rat model, allowing researchers to compare real and virtual neural activity.
Why does it matter?
Understanding how the brain controls movement and modeling neural activity could exponentially advance fields like neuroscience and brain-computer interfaces, with the help of AI.
Source: https://www.nature.com/articles/s41586-024-07633-4
🗳️ AI chatbots run for office
An AI-powered candidate named ‘AI Steve’ is running for U.K. Parliament in next month’s general election — creating polarizing questions around AI’s use in government affairs.
- AI Steve is represented by businessman Steve Endacott and will appear as an independent candidate in the upcoming election.
- Voters can interact with AI Steve online to ask policy questions and raise concerns or suggestions, which the AI will incorporate based on feedback.
- If elected, Endacott will serve as AI Steve’s human proxy in Parliament, attending meetings and casting votes based on the AI’s constituent-driven platform.
The idea of an AI running for office might sound like a joke, but the tech behind it could actually help make our politicians more independent and (ironically) autonomous. AI-assisted governance is likely coming someday, but it’s probably still a bit too early to be taken seriously.
Source: https://www.nbcnews.com/tech/tech-news/ai-candidate-running-parliament-uk-says-ai-can-humanize-politics-rcna156991
🎤 OpenAI CTO speaks on internal models
OpenAI CTO Mira Murati participated in a Q&A with Fortune Magazine, addressing topics including criticism from Elon Musk, internal AI model strength, the 2023 board drama and more.
- Murati said both Apple and OpenAI believe strongly in privacy and will not log data through Apple accounts or train models on user data.
- Murati responded to Musk calling the Apple partnership ‘creepy spyware’, saying OpenAI is trying to be as transparent as possible with its approach to safety.
- When asked about the board drama, Murati said the previous board structure ‘didn’t have accountability to anyone but themselves’.
- The CTO also curiously said that OpenAI’s internal models ‘aren’t that far ahead’ of what the public has for free right now.
This had to be a harder-hitting Q&A than Murati expected — but her responses certainly evoked similar vibes to the infamous Sora interview. The commentary on internal models was particularly interesting, as it would imply that OpenAI doesn’t have some GPT-5 level model waiting in the wings.
Source: https://x.com/elonmusk/status/1800266437677768765
🐀 DeepMind creates a virtual rat with AI brain
Researchers from Google DeepMind and Harvard just created a virtual rodent powered by an AI neural network, capable of mimicking agile movements and neural activity of real-life rats with extreme accuracy.
- The researchers created a bio-mechanically realistic digital rat model and trained an AI ‘brain’ to control its body in a physics simulator.
- The AI’s brain activity patterns closely matched real rodents engaged in similar behaviors, showing it can capture principles of muscle control and movement.
- This ‘virtual neuroscience’ approach could open new research with testing on AI animals, also transferring to engineering of advanced robotics systems.
By bridging the gap between motor control and the complexity of brains, these virtual rodents offer a new window into how neural activity generates movement. Our understanding of the brain and neural activity is about to expand exponentially with the increasing power of AI.
Source: https://www.nature.com/articles/s41586-024-07633-4
New AI Job Opportunities on June 14th 2024
- Databricks – Sr. Product Manager: https://jobs.therundown.ai/jobs/63046708-sr-product-manager
- Luma AI – Research Scientist: https://jobs.therundown.ai/jobs/62973732-research-scientist
- Dataiku – Senior Sales Engineer: https://jobs.therundown.ai/jobs/63061675-senior-sales-engineer
Meta – GenAI Content Manager: https://jobs.therundown.ai/jobs/60547830-genai-content-manager
What Else Is Happening in AI on June 14th 2024
Former head of NSA joins OpenAI’s Safety and Security Committee
Paul M. Nakasone, a retired US Army general and a former head of the National Security Agency (NSA), will also join OpenAI’s board of directors. He will contribute to OpenAI’s efforts to better understand how AI can be used to strengthen cybersecurity by quickly detecting and responding to cybersecurity threats.
Source: https://www.theverge.com/2024/6/13/24178079/openai-board-paul-nakasone-nsa-safety
Former Meta engineers launch Jace, your new autonomous AI employee
Jace uses Zeta Labs’ proprietary web-interaction model, Autonomous Web Agent-1, to use a browser to interact with websites like any human would. It allows it to handle real-world tasks like booking flights, handling hiring, or even setting up a company.
Source: https://venturebeat.com/ai/exclusive-former-meta-engineers-launch-jace-an-ai-agent-that-works-independently
LinkedIn is rolling out new AI-powered features for premium users
The features include searching for jobs by prompting in natural language, building a cover letter from scratch, reviewing your résumé with personalized suggestions for improving it for a specific job post, and making edits interactively with AI.
Source: https://www.theverge.com/2024/6/13/24177986/linkedin-ai-job-hunting-features-premium-subscribers
Synthflow’s AI voice assistants are now multilingual!
They can fluently communicate in Spanish, German, Portuguese, French, and English. Sythflow also added corresponding voices for each language to ensure authentic and natural-sounding interactions so businesses can engage a global audience and offer personalized experiences.
Source: https://x.com/GoogleDeepMind/status/1801210428673892496
Picsart is partnering with Getty Images to develop a custom model for AI imagery
The model will be built from scratch and trained exclusively on Getty Images’ licensed creative content. It will bring responsible AI imagery to creators, marketers, and small businesses that use Picsart, enabling them to generate unique images with full commercial rights. Source: https://techcrunch.com/2024/06/13/picsart-partners-with-getty-images-to-develop-a-custom-ai-model/
A Daily chronicle of AI Innovations June 13th 2024:
Apple to ‘pay’ OpenAI through distribution, not cash
New free rival to OpenAI Sora unveiled
⌚️ Google AI gets personal with wearables
Perplexity was planning revenue-sharing deals with publishers when it came under media fire
Amazon ‘dropped the ball’ with Alexa, former employee says
Tim Cook says it’s a ‘significant possibility’ people use their iPhones less because of AI
Luma AI’s dream machine debut sparks AI media wars
Stability AI’s Diffusion 3 Shakes Up Image Creation
No Cash Involved! Apple will pay OpenAI in distribution
NVIDIA tops MLPerf benchmarks, dominates AI training
Databricks Boosts Mosaic AI for Enterprise LLMs
ChromeOS gets GenAI boost via Android tech
YouTube trials AI comment summaries for shorts
Luma AI’s dream machine debut sparks AI media wars
LumaAI has launched Dream Machine, an AI-powered video generation system capable of generating high-quality videos via simple text prompts. The open-for-all AI tool takes about two minutes to generate a realistic five-second video clip to render specified objects and environments without compromising coherency.
Why does it matter?
The open-for-all feature of this AI tool highlights Luma AI’s approach toward democratizing generative AI and puts rival systems into the spotlight, including OpenAI’s Sora and Kuaishou’s Kling, which are only accessible to select users.
Additionally, Luma’s open approach will enable creators and companies to produce original content at a rapid speed and scale, giving it a competitive edge.
Source: https://lumalabs.ai/dream-machine
⌚️ Google AI gets personal with wearables
Google just published two new research papers, introducing an AI model that can interpret personal health data from wearable devices and an AI agent that provides detailed insights, answer health questions, and more.
- Google’s PH-LLM is a version of Gemini fine-tuned to reason using data from wearables and generate coaching insights for sleep and fitness.
- PH-LLM performs comparably to human experts on health insights for fitness and sleep, also achieving expert performance on certification exams.
- Google also revealed PHIA, an AI agent that combines Gemini’s language skills with code and search capabilities to analyze wearable health data.
- PHIA scored 84% on health insight questions, demonstrating strong reasoning and data analysis capabilities on complex queries.
Google’s research showcases AI’s potential to take health wearable tracking to the next level — going beyond generic insights to enable personalized support. Once ingrained into popular devices, these types of AI tools will put an expert fitness and nutrition coach on the wrists of every user.
Source: https://research.google/blog/advancing-personal-health-and-wellness-insights-with-ai
Stability AI’s Diffusion 3 Shakes Up Image Creation
Stability AI has launched its most sophisticated text-to-image AI open model, optimized for consumer PCs and enterprise-tier GPUs. The model delivers several noteworthy features:
- Enables photorealistic and high-quality outputs in exceptional style by providing images with extraordinary color, lighting, and details.
- Can comprehend long, complex prompts that involve spatial reasoning, compositional elements, actions, and styles.
- Leverages Diffusion Transformer architecture to achieve exceptional text quality, reducing spelling, character spacing, and letter-forming errors.
- Displays the ability to absorb minute details from small datasets, making it an ideal model for customizing and fine-tuning.
Why does it matter?
Stability’s unique features make it the most advanced text-to-image AI model. As it continues to push the boundaries of generative AI, it will be interesting to note whether it will stand out against its competitors and remain at the forefront of image generation.
Source: https://stability.ai/news/stable-diffusion-3-medium
No Cash Involved! Apple will pay OpenAI in distribution
A landmark arrangement between OpenAI and Apple to integrate ChatGPT into iPhone, iPad, and Mac was unclear in its financial terms. People briefed on the matter suggest that the agreement isn’t likely to generate revenue for either party and simply provides OpenAI brand exposure to Apple’s user base while offering Apple an advanced chatbot feature.
Why does it matter?
Apple integrating ChatGPT into its devices without offering any compensation to OpenAI creates concerns among users on whether Apple intends to share their data in return.
Source: https://www.bloomberg.com/news/articles/2024-06-12/apple-to-pay-openai-for-chatgpt-through-distribution-not-cash
Apple to ‘pay’ OpenAI through distribution, not cash
- Apple and OpenAI announced a partnership at WWDC, but according to Bloomberg, neither side is paying the other for the integration of ChatGPT into Apple’s devices.
- The agreement between Apple and OpenAI is non-exclusive, and Apple is also negotiating with Anthropic and Google to integrate their chatbots, with a deal for Google’s Gemini expected later this year.
- Apple plans to generate revenue from these partnerships through revenue-sharing agreements, taking a cut from AI providers that monetize their chatbot services, such as ChatGPT Plus’ $20-per-month subscription plan.
- Source: https://www.theverge.com/2024/6/13/24177550/apple-openai-chatgpt-deal-payment-revenue-sharing-chatbot
New free rival to OpenAI Sora unveiled
- Dream Machine is a new text-to-video tool developed by Luma AI, offering a free tier you can use immediately with a Google account, though there might be waiting times due to high demand.
- The tool creates five-second video clips at 1360×752 resolution based on user prompts, and while it has some processing delays, the outputs are impressive and close to user expectations.
- Dream Machine offers various subscription plans, with the free option limited to 30 generations a month, and higher tiers providing more generations at different price points, up to 2,000 generations for $499.99 monthly.
- SOurce: https://www.techradar.com/computing/artificial-intelligence/a-new-openai-sora-rival-just-landed-for-ai-videos-and-you-can-use-it-right-now-for-free
Perplexity was planning revenue-sharing deals with publishers when it came under media fire
- Perplexity, an AI search engine startup, was working on revenue-sharing deals with high-quality publishers before facing accusations from Forbes of content misuse.
- The company aims to announce the details of these partnerships soon and has already updated its user interface to make citation of sources more prominent.
- Perplexity’s planned revenue-sharing framework will offer media companies a recurring income alternative, contrasting with the one-off data usage deals currently offered by entities like OpenAI.
- Source: https://www.semafor.com/article/06/12/2024/perplexity-was-planning-revenue-sharing-deals-with-publishers
Amazon ‘dropped the ball’ with Alexa, former employee says
- A former Amazon employee, Mihail Eric, criticized the company’s handling of Alexa, citing technical and bureaucratic problems as major hindrances to its development.
- Eric stated that despite having ample resources and talent, Amazon mishandled its opportunity to make Alexa the leading product in conversational AI.
- Organizational issues, such as fragmented teams and inadequate computing resources, were mentioned by Eric as significant factors that prevented Alexa from achieving its full potential.
- Source: https://www.businessinsider.com/amazon-alexa-voice-assistant-dropped-ball-former-employee-says-2024-6
Tim Cook says it’s a ‘significant possibility’ people use their iPhones less because of AI
- Apple CEO Tim Cook said Apple Intelligence may reduce iPhone usage in an interview with Marques Brownlee.
- Cook highlighted that AI will simplify previously time-consuming tasks, allowing users to complete them more efficiently and quickly.
- Apple has added several features to the iPhone that raise awareness of how much time consumers spend on their devices and which help make their usage more intentional.
- Source: https://www.businessinsider.com/tim-cook-people-may-use-iphones-less-because-ai-2024-6
What Else Is Happening in AI on June 13th 2024
YouTube trials AI comment summaries for shorts: YouTube is trying out a new AI-powered comment summarizer feature on mobile apps. The feature breaks down comments into keyword-based topics, simplifying users’ engagement with Shorts with large comment sections. Source: https://support.google.com/youtube/thread/18138167
NVIDIA tops MLPerf benchmarks, dominates AI training: NVIDIA has set new performance records in MLPerf Training v4.0, showcasing its dominance in generative AI and LLM training. Key achievements include tripling GPT-3 175B training performance, fine-tuning Llama 2 70B model in just 1.5 minutes using 1,024 H100 GPUs, and accelerating Stable Diffusion v2 training performance by up to 80%. Source: https://blogs.nvidia.com/blog/mlperf-training-benchmarks
Databricks Boosts Mosaic AI for Enterprise LLMs: Databricks has announced enhancements to Mosaic AI to accelerate its efforts in enterprise gen AI development. The focus lies on the development of compound AI systems, their evaluation across metrics, and governance. Releases include Mosaic AI Model Training and Agent Framework, strengthening the company’s offering against Snowflake. Source: https://venturebeat.com/data-infrastructure/databricks-bolsters-mosaic-ai-with-tools-to-build-and-evaluate-compound-ai-systems
No more vagueness – Adobe to update its AI terms: Adobe has promised to update its terms of service amidst user backlash, assuring that it will not train generative AI models on customer content. The company clarified that it does not own customer content and will refrain from using it to train AI models. Source: https://blog.adobe.com/en/publish/2024/06/10/updating-adobes-terms-of-use
ChromeOS gets GenAI boost via Android tech: Google plans to release Android-based tech stack into ChromeOS to accelerate AI innovation. The release will simplify engineering efforts, helping phones and accessories work better with Chromebooks. Through this release, Google seeks to continue rolling out its AI features to users at a faster and larger scale. Source: https://blog.chromium.org/2024/06/building-faster-smarter-chromebook.html
A Daily chronicle of AI Innovations June 12th 2024:
Elon Musk drops OpenAI lawsuit with no explanation
Microsoft kills off Copilot GPT Builder after just 3 months
Stability AI launches its ‘most sophisticated’ image generator yet
Microsoft to discontinue GPT Builder from Copilot Pro
Musk drops lawsuit alleging OpenAI strayed from its mission
OpenAI leverages Oracle Cloud to extend the Microsoft Azure Al platform
Google to launch anti-theft AI features for android phones in Brazil
Google expands Gemini Nano AI capabilities to Pixel 8 & 8a
Yahoo Mail integrates AI for a streamlined desktop experience
Samsung unites North American AI teams, appoints ex-Apple Siri executive
Elon Musk drops OpenAI lawsuit with no explanation
- Elon Musk has dropped his lawsuit against OpenAI and its CEO, Sam Altman, which accused the company of breaching a contract and deviating from its mission to benefit humanity.
- The case was dismissed without prejudice, meaning Musk can refile it in the future; this decision came just a day before a scheduled hearing on OpenAI’s request to dismiss the case.
- Musk’s lawsuit alleged a breached “Founding Agreement” with OpenAI, but the company denied this, asserting there is no binding agreement and claiming Musk sought control by merging it with Tesla.
- Source: https://www.theverge.com/2024/6/11/24176462/elon-musk-openai-lawsuit-sam-altman-dropped
Microsoft kills off Copilot GPT Builder after just 3 months
- Microsoft has announced the discontinuation of GPT Builder and is giving users one month to save their data before deletion.
- GPT Builder, part of Microsoft’s Copilot Pro, allowed users to create and customize various GPTs for $20 per month but will no longer be available after July 10.
- Despite retiring GPT Builder, Microsoft remains focused on enterprise GPT applications and will not adjust Copilot Pro subscription fees or hand the project over to the community.
- Source: https://www.theregister.com/2024/06/11/microsoft_retires_gpt_builder/
Stability AI launches its ‘most sophisticated’ image generator yet
- Stability AI launched Stable Diffusion 3 Medium, described as its “most advanced text-to-image open model yet,” featuring 2 billion parameters for photorealistic output on consumer systems.
- The new model overcomes common artefacts in hands and faces, accurately understands complex prompts, and enhances typography through Diffusion Transformer architecture.
- Users can access SD3 Medium via Stability’s API under an open non-commercial license, while commercial usage requires contacting the startup for licensing details.
- Source: https://thenextweb.com/news/stability-ai-launches-stable-diffusion-3-image-generator
Autonomous driving by musculoskeletal humanoids: A study
The research paper discusses the development of a musculoskeletal humanoid robot, Musashi, designed to perform autonomous driving tasks. It mimics the human body in detail with redundant sensors and a flexible body structure that are suitable for motions with complex environmental contact.
The robot is expected to sit down on the car seat, step on the acceleration and brake pedals, and operate the steering wheel by both arms.
The paper extensively discusses the hardware and learning-based software necessary for this unique approach to autonomous driving.
Why does it matter?
The learning-based software discussed in the paper highlights the adaptability of musculoskeletal humanoids. AI models could learn from both structured data and unstructured sensory inputs, potentially improving generalization and handling novel scenarios.
Source: https://arxiv.org/pdf/2406.05573
New AI Job Opportunities on June 12th 2024
- UiPath – Strategic Sales Lead, EMEA: https://jobs.therundown.ai/jobs/62605651-strategic-sales-lead-emea
- Captions – Frontend Engineer: https://jobs.therundown.ai/jobs/60404535-frontend-engineer-3+-years-of-experience
- Abridge – Senior Data Analyst: https://jobs.therundown.ai/jobs/62605637-senior-data-analyst
Metropolis – Data Analyst: https://jobs.therundown.ai/jobs/62355254-data-analyst
Source: https://jobs.therundown.ai/
What Else Is Happening in AI on June 12th 2024
OpenAI leverages Oracle Cloud to extend the Microsoft Azure Al platform
This collaboration will provide additional capacity for OpenAI, enabling it to continue to scale. Oracle Cloud Infrastructure’s (OCI) purpose-built AI capabilities enable startups and enterprises to build and train models faster and more reliably anywhere in Oracle’s distributed cloud.Source: https://www.oracle.com/news/announcement/openai-selects-oracle-cloud-infrastructure-to-extend-microsoft-azure-ai-platform-2024-06-11
Google to launch anti-theft AI features for android phones in Brazil
The features include three lock modes: AI Movement Detection (recognizes common theft-related movements), Remote Lock, and Internet Access Timeout (automatically locks the screen if the device lacks internet access for an extended period). Starting in July 2024, Brazilian users with Android phones running version 10 or higher will have access to these features. Source: https://www.reuters.com/technology/artificial-intelligence/google-test-anti-theft-ai-feature-phones-brazil-2024-06-11
Google expands Gemini Nano AI capabilities to Pixel 8 & 8a
This update includes features like “Summarize in Recorder” and “Smart Reply.” Users need to access developer options to enable these features. Additionally, the update enhances Find My Device functionality and allows Display Port output via USB-C. Older Pixel devices, such as the Pixel Fold and Pixel 6, also receive new features. https://www.theverge.com/2024/6/11/24176127/google-pixel-feature-drop-june-gemini-nano
Yahoo Mail integrates AI for a streamlined desktop experience
The enhancements include AI-generated email summaries, a “Priority” inbox tab for urgent messages, quick action buttons, and the ability to link other email accounts within Yahoo Mail. Existing users can opt in, while new users have immediate access. Source: https://www.theverge.com/2024/6/11/24175280/yahoo-mail-generative-ai-gmail
Samsung unites North American AI teams, appoints ex-Apple Siri executive
Samsung merged its AI research centers in Toronto and California into a single unit, the North America AI Center. To lead this new North American AI Center, Samsung recruited Murat Akbacak, a former Siri executive at Apple. Source: https://www.bloomberg.com/news/articles/2024-06-11/samsung-taps-apple-siri-veteran-to-lead-north-american-ai-group
A Daily chronicle of AI Innovations June 11th 2024:
Apple brings ChatGPT to Siri
Apple reveals macOS Sequoia with iPhone mirroring, new Passwords app, and more
Elon Musk threatens Apple device ban after OpenAI partnership
Apple introduces Apple Intelligence, its new Gen AI tech
Musk threatens to ban Apple devices over ChatGPT integrations
OpenAI hires Nextdoor and Instagram veterans as CFO and CPO
Apple brings ChatGPT to Siri
- Apple introduced AI updates for Siri at WWDC 2024, enabling it to perform actions across apps, manage notifications, automatically write and summarize text, and understand user context with “onscreen awareness.”
- Siri’s new capabilities include referencing one app to perform actions in another, such as playing a podcast your partner sent, changing the tone of written text with a prompt, and allowing users to interact by typing as well as speaking.
- Apple emphasizes privacy with on-device processing for many features, while more complex requests are handled by “Private Cloud Compute” on Apple Silicon-powered servers, with independent experts verifying the code running on its servers.
- Source: https://www.theguardian.com/technology/article/2024/jun/10/apple-ai-product-launch
Apple reveals macOS Sequoia with iPhone mirroring, new Passwords app, and more
- Apple announced macOS Sequoia, featuring major updates such as iPhone mirroring that allows users to control their iPhone from their Mac.
- Sequoia introduces a stand-alone Passwords app, syncable with other Apple devices and Windows PCs via iCloud, along with new Safari improvements like Highlights for extracting useful information.
- Apple also revealed Game Porting Toolkit 2 for better Windows game compatibility, and the macOS Sequoia beta will be available this month with a full release expected in the fall.
- Source: https://techcrunch.com/2024/06/10/apple-unveils-macos-sequoia
Elon Musk threatens Apple device ban after OpenAI partnership
- Elon Musk has threatened to ban Apple devices at his companies because Apple plans to integrate OpenAI’s ChatGPT into its products.
- Musk argues that allowing OpenAI access through Apple devices poses a security risk and criticizes Apple for not developing its own AI technology.
- Musk’s discontent also stems from his ongoing disputes with OpenAI, including past legal actions and competitive tensions with his own AI ventures like xAI and its Grok chatbot.
- Source: https://www.theregister.com/2024/06/11/musk_wants_to_ban_apple/
Apple introduces Apple Intelligence, its new Gen AI tech
Apple unveiled Apple Intelligence at WWDC 2024, a personal intelligence system deeply integrated into iOS 18, iPadOS 18, and macOS Sequoia. Leveraging Apple silicon’s power, it understands and creates language/images, takes actions across apps, and simplifies tasks using personal context. With Private Cloud Compute, Apple sets a new privacy standard in AI by flexibly processing between on-device and dedicated Apple silicon servers.
Apple Intelligence will power new features like AI-generated Bitmojis, natural language images, and video search, as well as enhanced integration with apps and Siri.
Apple also partnered with OpenAI to integrate ChatGPT with its apps, including Siri. This will allow users to directly access GPT-4 through Apple’s platforms. Additionally, Apple confirmed plans to work with other models in the future, including Google’s Gemini. The iPhone 15 Pro and devices with M1 or newer chips will be the first to receive the full suite of Apple Intelligence features.
| Siri Upgrades |
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| New AI Features |
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| Privacy |
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| OpenAI Integration |
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Why does it matter?
This is generative AI as only Apple can deliver it– put at the core of its products, accessing users’ personal data for truly helpful AI assistance but keeping it secure through on-device processing and Private Cloud Compute. Apple’s long-known focus on user privacy + exceptional UX could inspire a new era of AI development.
Source: https://techcrunch.com/2024/06/11/everything-apple-announced-wwdc-2024/
Musk threatens to ban Apple devices over ChatGPT integrations
Elon Musk threatens to ban iPhones and other Apple devices from his companies, such as Tesla, SpaceX, and xAI, over Apple’s announcement of ChatGPT integration into its OS. Musk thinks this integration will allow ChatGPT to access too much private user data through Apple devices. He claims Apple doesn’t understand OpenAI’s tech and is putting user privacy at risk.
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However, Apple and OpenAI stated that users will be asked permission before any data is sent to ChatGPT.
Why does it matter?
This highlights Musk’s skepticism about the privacy implications of Apple’s AI strategy. But it could significantly impact Apple users in the future, as they may no longer be able to use iPhones and other Apple devices at Musk’s companies
Source: https://techcrunch.com/2024/06/10/elon-musk-threatens-to-ban-apple-devices-from-his-companies-over-apples-chatgpt-integrations
OpenAI hires Nextdoor and Instagram veterans as CFO and CPO
OpenAI has hired two experienced executives to fill important leadership roles. Sarah Friar, previously the CEO of the neighborhood app Nextdoor, was appointed OpenAI’s new chief financial officer (CFO). Kevin Weil, a former Instagram and Twitter executive who oversees product teams, has been named OpenAI’s chief product officer (CPO).
As CFO, Friar will manage OpenAI’s financial operations and investments as the company expands globally. As CPO, Weil will lead product development utilizing OpenAI’s AI research to create new products for consumers and enterprise customers.
Why does it matter?
This indicates OpenAI’s ambition to scale as it commercializes its AI technology. It also suggests that OpenAI is solidifying its position as a major force in the AI industry while navigating the recently surfaced challenges around AI safety.
Source: https://openai.com/index/openai-welcomes-cfo-cpo
Researchers teach AI to speak dog
A new study from the University of Michigan leveraged AI models trained on human speech to decode the meaning behind dog noises — identifying details like breed, age, gender, and emotional state with 70% accuracy.
- Researchers gathered vocalizations from 74 dogs of varying breeds, ages, and situational contexts.
- The noises were inputted into an AI model originally designed to analyze human voices, trained on 960 hours of speech, and fine-tuned for dogs.
- The AI was able to predict individual dogs from barks, distinguish dog breed and gender, and match barks to emotional context like play and aggression with 70% accuracy.
AI is not only bridging the language gap for humans across the globe — but also potentially across species as well. Communicating with other intelligent animals (or at least better understanding them) seems like a skill issue that’s going to be solved sooner rather than later.
Source: https://arxiv.org/pdf/2404.18739?
New AI Job Opportunities on June 11th 2024
Fiddler AI – Technical Project Manager, Customer Success: https://jobs.therundown.ai/jobs/62351203-technical-project-manager-customer-success-remote-east-coast
Cohere – Research Intern (PhD): https://jobs.therundown.ai/jobs/62351142-research-intern-phd- Meta – Research Engineer, Conversational AI (Reality Labs): https://jobs.therundown.ai/jobs/62419977-research-engineer-conversational-ai-reality-labs
- Palantir Technologies – Product Designer, US Government: https://jobs.therundown.ai/jobs/62398950-product-designer-us-government
What Else Is Happening in AI on June 11th 2024
AI could save financial advisors 10-15 hours per week
Morgan Stanley is using an AI tool to transcribe and categorize client conversations, saving financial advisors 10-15 hours per week. It allows advisors to better prepare for client meetings by reminding clients of past discussions and anticipating their needs. The AI tool can automatically summarize meetings and generate follow-up emails.
Source: https://www.reuters.com/technology/morgan-stanley-ceo-says-ai-could-save-financial-advisers-10-15-hours-week-2024-06-10
Anthropic reveals Claude 3’s character training process
Anthropic has developed a “character training” process for their AI assistant, Claude, to imbibe traits like curiosity, open-mindedness, and thoughtfulness. It aims to make Claude more discerning in their interactions and able to express their own views while also displaying openness to other perspectives.
Source: https://www.anthropic.com/research/claude-character
FanVue introduces the world’s first AI beauty pageant contest
Influencer marketing platform FanVue hosted the world’s first AI-powered beauty pageant, “Miss AI,”. Over 1,500 AI-generated digital models worldwide compete for the title and a $20,000 prize pool. The contest aims to showcase the capabilities of AI in creating photorealistic digital avatars that can function as influencers and brand ambassadors.
Source: https://www.npr.org/2024/06/09/nx-s1-4993998/the-miss-ai-beauty-pageant-ushers-in-a-new-type-of-influencer
Perplexica provides an open-source AI search alternative for Perplexity
Perplexica uses LLMs, machine learning algorithms, and embedding models to provide refined search results and clear answers from cited sources. Perplexica offers multiple modes, like various “Focus Modes” tailored for specific question types.
Source: https://github.com/ItzCrazyKns/Perplexica
AI tools secretly use real images of children for training
Over 170 images and personal details of Brazilian children have been repurposed by an open-source AI training dataset called LAION-5B without the children’s consent. The images were originally posted on mommy blogs and personal social media. Researchers are concerned these images could be used to generate deepfakes or reveal sensitive information.
Source: https://www.wired.com/story/ai-tools-are-secretly-training-on-real-childrens-faces
How does Apple send your data to its cloud AI servers? Very carefully, it claims. https://www.engadget.com/how-does-apple-send-your-data-to-its-cloud-ai-servers-very-carefully-it-claims-233312425.html
Apple confirms plans to work with Google’s Gemini ‘in the future’. https://techcrunch.com/2024/06/10/apple-confirms-plans-to-work-with-googles-gemini-in-the-future/
Paris-based AI startup Mistral AI raises $640 million. https://techcrunch.com/2024/06/11/paris-based-ai-startup-mistral-ai-raises-640-million/
Tim Cook is ‘not 100 percent’ sure Apple can stop AI hallucinations: https://www.theverge.com/2024/6/11/24176035/tim-cook-apple-stop-ai-hallucinations
Nvidia shipped 3.76M data center GPUs in 2023 — dominates business with 98% revenue share. https://www.tomshardware.com/tech-industry/nvidia-shipped-376m-data-center-gpus-in-2023-dominates-business-with-98-revenue-share
A Daily chronicle of AI Innovations June 10th 2024:
Meta faces legal complaints over AI data plans
Alibaba’s Qwen2 AI models outperform GPT-4 & Llama-3
SAP & Nvidia are developing applications with AI & digital twins
Chinese tech giants exploit Nvidia AI chip loophole
Apple launches “Apple Intelligence” at WWDC 2024 for iPhone, iPad, and Mac
TCS launches TCS AI WisdomNext™, an industry-first GenAI aggregation platform
Human Native AI is building a marketplace for AI training licensing deals
Hugging Face and Pollen Robotics launched an open-source robot for household chores
Alibaba’s Qwen2 AI models outperform GPT-4 & Llama-3
Alibaba launched Qwen2 with five sizes ranging from 0.5B to 72B parameters. These models are trained in 27 additional languages besides English and Chinese, showcasing state-of-the-art performance in benchmarks. The models deliver significantly improved performance in coding and mathematics and extended context length support up to 128K tokens. Despite having fewer parameters, qwen2-72 B outperforms leading models like Llama-3-70B and its predecessor Qwen1.5-110B.
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Qwen2-72B-Instruct performs comparably to GPT-4 in terms of safety and significantly outperforms Mistral-8x22B. The models are released under Apache 2.0 and Qianwen License on Hugging Face and ModelScope.
Why does it matter?
Qwen2 beats Meta’s model despite being trained on relatively fewer tokens. The researchers attribute it to more efforts put into data cleaning and training, implying innovative approaches on their end.
However, it also signals the slow shift in how LLMs are developed– from solely relying on quantity of data to prioritizing the quality of data and training techniques.
Source: https://qwenlm.github.io/blog/qwen2
SAP & Nvidia are developing applications with AI & digital twins
At SAP’s Sapphire event in Orlando, Florida, SAP and NVIDIA announced their collaboration to enhance SAP’s generative AI copilot, Joule, with two new capabilities: SAP Consulting and ABAP Developer. These new features are powered by NVIDIA AI Enterprise software.
Additionally, SAP is integrating NVIDIA Omniverse Cloud APIs into its Intelligent Product Recommendation solution to simplify the buying and selling process for complex products. This integration will allow salespeople to visualize 3D product digital twins directly within the SAP Intelligent Product Recommendation interface, making it easier to understand the products.
Why does it matter?
Using NVIDIA Omniverse Cloud APIs in SAP’s Intelligent Product Recommendation solution accelerates the quote generation process and increases sales and customer satisfaction by enabling sales representatives to provide more accurate, tailored recommendations.
Source: https://blogs.nvidia.com/blog/sap-sapphire-ai-omniverse
Chinese tech giants exploit Nvidia AI chip loophole
The U.S. government prohibits Nvidia from selling A.I. chips directly to Chinese companies due to national security concerns. Still, ByteDance is accessing Nvidia’s A.I. chips for its U.S. operations by leasing them from Oracle, as the current U.S. rules do not explicitly prohibit Chinese companies from accessing the chips if used within the U.S.
Other Chinese tech giants like Alibaba, Tencent, and China Telecom seek similar arrangements with U.S. cloud providers. The U.S. Commerce Department proposed a rule to tighten controls, but it faced opposition from cloud providers and remains in limbo.
Why does it matter?
Even if the loophole is closed, Alibaba and Tencent have discussed obtaining Nvidia chips for their U.S.-based data centers. It could further escalate the AI “arms race” and rivalry between the USA and China as both nations seek to outpace each other in developing advanced AI systems for economic and military advantages.
Source: https://www.theinformation.com/articles/chinas-nvidia-loophole-how-bytedance-got-the-best-ai-chips-despite-u-s-restrictions
What Else Is Happening in AI on June 10th 2024
Apple will launch “Apple Intelligence” at WWDC 2024 for iPhone, iPad, and Mac
Leaks suggest Apple will reveal “Apple Intelligence”, aka AI, at the WWDC event this week. These AI features will focus on broad appeal and privacy, with opt-in not mandatory. Apple will use its own tech and OpenAI tools to power the new AI features.
Source: https://www.theverge.com/2024/6/7/24173528/apple-intelligence-ai-features-openai-chatbot
TCS launches TCS AI WisdomNext™, an industry-first GenAI aggregation platform
The platform allows organizations to compare and experiment with GenAI models across cloud services in a single interface. It offers ready-to-deploy business solution blueprints with built-in guardrails for quick adoption.
Source: https://www.tcs.com/who-we-are/newsroom/press-release/tcs-launches-wisdomnext-an-industry-first-genai-aggregation-platform
A study by Harvard, MIT, and Wharton reveals junior staff is not reliable for AI training
Junior consultants who participated in a GPT-4 experiment struggled with AI risk mitigation, with their tactics lacking a deep understanding of the technology and focusing on changing human behavior rather than AI system design. The findings highlight the need for top-down AI governance, expert input, and upskilling across all levels of the organization.
Source: https://venturebeat.com/ai/harvard-mit-and-wharton-research-reveals-pitfalls-of-relying-on-junior-staff-for-ai-training
Human Native AI is building a marketplace for AI training licensing deals
The platform helps AI companies find data to train their models while ensuring rights holders are compensated. Rights holders upload content for free and connect with AI companies for revenue share or subscription deals. Human Native AI helps prepare and price content, monitors for copyright infringements, and takes a cut of each deal.
Source: https://techcrunch.com/2024/06/08/deal-dive-human-native-ai-is-building-the-marketplace-for-ai-training-licensing-deals
Hugging Face and Pollen Robotics launched an open-source robot for household chores
The humanoid Reachy2 was initially controlled by a human wearing a VR headset. Then, a machine learning algorithm studied the teleoperation sessions to learn how to perform the tasks independently. The dataset and trained model used for the demo are open-sourced on Hugging Face, allowing anyone to replicate the process on smaller robots at home.
Source: https://venturebeat.com/ai/hugging-face-and-pollen-robotics-show-off-first-project-an-open-source-robot-that-does-chores
👑 The world’s first AI beauty pageant
The World AI Creator Awards and creator platform FanVue are currently running the inaugural ‘Miss AI’ contest, with over 1,500 AI-generated models competing for the world’s first AI beauty pageant.
- 10 finalists were selected from a pool of 1,500 AI-generated contestants, with the winner set to be announced at the end of June.
- The AI models ‘hail’ from countries across the globe, showcasing various causes and personalities in addition to their photorealistic images.
- Judges will also evaluate the AI tech behind the avatars, including prompts/image outputs and the creator’s ability to engage audiences on social media.
- The prize pool includes $20,000 in awards and access to PR and mentorship programs.
With how good AI image generation capabilities have become, we’re likely already being exposed to an influx of generated brand ambassadors and models without even realizing it. While the idea of an AI beauty pageant may sound strange… it’s probably only going to get weirder from here.
Source: https://www.npr.org/2024/06/09/nx-s1-4993998/the-miss-ai-beauty-pageant-ushers-in-a-new-type-of-influencer
🧠 Microsoft Recall gets safety changes
Microsoft is making changes to its new Recall on-device AI feature following security concerns — with the tool now starting off by default and gaining new encryption protections ahead of the release on June 18.
- The Copilot + Recall feature was unveiled at the Microsoft Build event in May, which will run locally and take constant screenshots to remember user actions.
- The company faced backlash after experts warned of the tool’s ‘privacy nightmare’ with the potential to expose screenshots and activity to hackers.
- The feature will now be off by default, with users having to opt in manually — with new encryption and authentication being added for extra safety measures.
- The tool will roll out in ‘preview’ on the new Copilot + PCs set to launch on June 18.
While the Recall feature was one of the flashiest features revealed at Build — it also is one of the most controversial. While the screenshots enable memory and get us a step closer to the AI agent dream, its also a tough hurdle to get past for increasingly privacy-focused consumers.
Source: https://www.therundown.ai/p/microsofts-total-recall
🔊 AI TRAINING: Using ‘Background Conversations’ in ChatGPT
ChatGPT’s latest update introduced the “Background Conversations” feature, allowing you to continue your chat even when using other apps or when your screen is off.
- Install the latest ChatGPT app update on your phone.
- Open the app and go to Settings.
- Scroll to “Voice Mode” and toggle “Background Conversations” on.
- Use ChatGPT hands-free while multitasking or with your screen off.
Note: If you still don’t see the option, the feature may not have rolled out to your account yet.
🧠 AI RESEARCH: Concise prompting cuts AI costs by 20%
Researchers just found that adding a simple ‘be concise’ instruction to chain-of-thought prompts can reduce the length of AI responses by 50% with minimal impact on accuracy — leading to over 20% cost savings on API calls.
- Chain-of-thought (CoT) prompting has the AI explain its reasoning step-by-step before giving a final answer, improving accuracy on complex problems.
- Researchers tested adding ‘be concise’ to CoT prompts on GPT 3.5 and 4, using 1,000 multiple-choice questions across 10 topics.
- The instruction made responses about 50% shorter on average vs. normal CoT prompting, with no significant accuracy impact.
- The approach also reduced per-query API costs by over 20% for both models, with the more concise prompts generating fewer tokens.
Next time your AI chatbot is getting a little too wordy, this one simple prompt trick is all you need! Despite the massive complexities and uncertainties surrounding how LLMs work, sometimes these strange, seemingly basic quirks make all the difference in getting the optimal outputs.
Source: https://arxiv.org/pdf/2401.05618
New AI Job Opportunities on June 10th 2024:
- 🔬 Meta – Research Engineer, Conversational AI (Reality Labs): https://jobs.therundown.ai/jobs/62419977-research-engineer-conversational-ai-reality-labs
- 🎨 Palantir Technologies – Product Designer, US Government: https://jobs.therundown.ai/jobs/62398950-product-designer-us-government
- 📊 Databricks – Strategic Sourcing Manager, Technology: https://jobs.therundown.ai/jobs/62399340-strategic-sourcing-manager-technology?
- 📈 Anyscale – Marketing Operations Manager: https://jobs.therundown.ai/jobs/62367786-marketing-operations-manager
A Daily chronicle of AI Innovations June 07th 2024:
OpenAI reverse engineers the workings of AI models
New Chinese video generation model beats OpenAI’s Sora
Nvidia is now the second-most valuable company, overtaking Apple
Adobe’s launches AEP AI Assistant to help brands master customer data and outreach
The most comprehensive benchmarking & leaderboard for image models is here!
AI used to predict potential new antibiotics in groundbreaking study
Meta gets EU complaints from 11 countries over use of personal data to train AI
The Federal Trade Commission is investigating Microsoft-Inflection AI deal
OpenAI reverse engineers the workings of AI models
In new research, OpenAI has shared improved methods for finding a large number of “features”—patterns of activity in AI models that are human interpretable. They developed new state-of-the-art methodologies that allow scaling sparse autoencoders to tens of millions of features on frontier AI models.
It demonstrated smooth and predictable scaling, with better returns to scale than prior techniques. And they could find 16 million features in GPT-4. The research also introduces several new metrics for evaluating feature quality.
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OpenAI has shared the paper, code, and feature visualizations to foster further exploration.
Why does it matter?
It could bring us closer to understanding the inner workings of neural networks. This interpretability will eventually increase model trustworthiness and steerability.
While OpenAI is being criticized for taking unnecessary risks with AI technology, this shows it is also keen on tackling the risk by making models more explainable.
Source: https://openai.com/index/extracting-concepts-from-gpt-4
New Chinese video generation model beats OpenAI’s Sora
Kuaishou, a Chinese tech company, has introduced Kling, an AI model for video generation. It can make videos up to two minutes long at 1080p resolution and 30 frames per second, vs. Sora’s one-minute videos.
Kuaishou claims Kling correctly simulates the physical properties of the real world, including complex motion sequences. Using a diffusion transformer, it can also combine concepts and create fictional scenes, such as a cat driving a car through a busy city.
The model is currently available as a public demo in China.
Why does it matter?
Move over, Sora. This Chinese alternative is blowing everyone’s minds. It is becoming increasingly clear that China is catching up fast with the USA in AI.
Source: https://kling.kuaishou.com/
Nvidia is now the second-most valuable company, overtaking Apple
Nvidia rallied to record highs on Wednesday, with it’s stock market valuation hitting $3 trillion and overtaking Apple to become the world’s second most valuable company. This comes after Nvidia made a series of major announcements in the past week.
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However, Nvidia’s stock has surged 147% so far in 2024, with demand for its top-of-the-line processors far outstripping supply as Big Tech races to build out their AI computing capabilities and dominate the emerging technology.
Microsoft remains the world’s most valuable company, with a market value of approximately $3.15 trillion.
Why does it matter?
Nvidia is now seen as a key company to watch to see how fast AI-powered tech is spreading across the business world, a shift that Nvidia’s founder, Jensen Huang, has declared as the dawn of the “next industrial revolution”.
Source: https://www.bbc.com/news/articles/c6ppqd3j621o
🇨🇳 ByteDance’s AI chip loophole
🔍 AI RESEARCH: OpenAI probes GPT’s inner workings
New AI Job Opportunities on June 07th 2024:
What Else Is Happening in AI on June 07th 2024
Adobe’s launches AEP AI Assistant to help brands master customer data and outreach
Adobe’s Adobe Experience Platform (AEP) is a real-time customer experience management (CXM) solution designed for enterprises. AEP AI Assistant is a gen AI chatbot hooked up to the AEP and an enterprise’s storehouse of advertising and customer data, brand assets, and content collateral (at their direction).
Source: https://venturebeat.com/ai/adobes-new-aep-ai-assistant-is-here-to-help-brands-master-customer-data-and-outreach/
The most comprehensive benchmarking & leaderboard for image models is here!
AI image models have achieved near-photographic quality. But how do they compare? Are the open-source alternatives on par with their proprietary counterparts? The Artificial Analysis Text to Image Leaderboard aims to answer these questions with human preference-based rankings.
Source: https://huggingface.co/blog/leaderboard-artificial-analysis2
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AI used to predict potential new antibiotics in groundbreaking study
Scientists used an algorithm to mine the entirety of the microbial diversity that we have on earth – or a huge representation of that – and find almost 1million new molecules encoded or hidden within all that microbial dark matter.
Source: https://www.theguardian.com/society/article/2024/jun/05/ai-antibiotic-resistance
Meta gets EU complaints from 11 countries over use of personal data to train AI
Meta rejected the criticism and referred to a May 22 blog in which it said it uses publicly available online and licensed information to train AI as well as information that people have shared publicly on its products and services.
Source: https://www.reuters.com/technology/meta-gets-11-eu-complaints-over-use-personal-data-train-ai-models-2024-06-06
The Federal Trade Commission is investigating Microsoft-Inflection AI deal
The FTC has sent subpoenas to tech giant and startup, asking whether their partnership evaded the required government antitrust review of the transaction. Microsoft picked off Inflection’s specialized workforce of AI researchers but didn’t purchase the company outright.
Source: https://www.wsj.com/tech/ai/ftc-opens-antitrust-probe-of-microsoft-ai-deal-29b5169a
A Daily chronicle of AI Innovations June 06th 2024:
Stability AI’s sound generator creates drum beats and instrument riffs
xAI to build the gigafactory of compute
New study reveals key findings on young peoples’ use of Gen AI
💊 AI predicts nearly 1M new antibiotics
🔊 Stability AI releases open audio model
Mistral’s new SDK simplifies customization for users
Salesforce inaugurates its first AI Centre in London
eBay unveils new AI-tool to enhance product image backdrops
Asana introduces AI teammates
Writer launches a suite of No-Code development tools
Stability AI’s sound generator creates drum beats and instrument riffs
Stability AI’s Stable Audio Open can generate up to 47-second audio samples based on text descriptions. The open AI model is trained on data from 486,000 samples of royalty-free music samples. The tool enables users to generate drum beats, instrument riffs, and ambient sounds.
However, the AI model has its limitations.
- It is unable to produce full songs, melodies, or vocals.
- Its terms of service prohibit users from using Stable Audio Open commercially.
- Its training data is biased toward the English language and specific music styles.
Why does it matter?
The tool will enable creative users like sound designers, musicians, and developers to fine-tune the model to their own custom audio data, which is a major leap in the realm of generative AI’s audio generation capabilities.
Source: https://stability.ai/news/introducing-stable-audio-open
xAI to build the gigafactory of compute
The AI startup seeks to build the world’s largest supercomputer in a multi-billion dollar project. The company plans to use this supercomputer to develop AI products, including its chatbot, Grok. The facility will be powered by Nvidia’s H100 GPUs. The project aims to be operational by fall 2025.
The project will reportedly use Nvidia AI chips originally intended for Tesla, raising concerns about conflicts of interest. Moreover, Musk hasn’t yet delivered Grok 2, an advanced AI model that he had promised in May.
Why does it matter?
The supercomputer’s support for the development of Grok could become a groundbreaking advancement in the field of AI technology. Moreover, the project represents a multi-billion dollar investment that could create numerous job opportunities and boost the economy.
Source: https://memphischamber.com/velocity-meets-potency-xai-announces-memphis-as-new-home
New study reveals key findings on young peoples’ use of Gen AI
The study directly involved young readers and examined the use of generative AI by use, ethnicity, age, gender, and LGBTQ+ identity. Key findings include:
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- 50% of the survey respondents (aged 14-22) have used generative AI. However, only 4% use it daily.
- For 53% of respondents, the use case for generative AI was obtaining information, while for 51%, it was brainstorming.
- Black young people are more likely to use generative AI compared to their white peers. Reasons include getting information, brainstorming ideas, and assistance with schoolwork.
- Young people of Latin origin are more likely than white people to use generative AI for multiple purposes, including image generation and getting help with their jobs.
- Out of respondents who have never used generative AI, 34% believed it would not be helpful.
- Among people never having used generative AI, LGBTQ+ young people are more likely to use it in comparison to cisgender and straight respondents.
- 41% of respondents believe that generative AI will have a positive as well as negative impact on their lives in the next 10 years.
Why does it matter?
Understanding the diverse ways in which the younger users engages with generative AI enables businesses to uncover trends and data-oriented insights to improve their AI models and deliver, user experiences that are responsive and inclusive.
Source: https://www.commonsensemedia.org/sites/default/files/research/report/teen-and-young-adult-perspectives-on-generative-ai.pdf?
💊 AI predicts nearly 1M new antibiotics
Researchers just published a new study detailing the use of AI to predict close to 1M new antibiotics hidden within tiny microbes all over the world, uncovering new potential treatments against bacteria and superbugs.
- Researchers used AI to analyze publicly available data on over 100,000 different genomes and meta-genomes.
- The AI then predicted which parts of the microbial genomes could potentially produce antibiotic compounds, generating a list of nearly one million candidates.
- 100 of the AI-predicted drug candidates were tested in the lab, with 79 of them being a potential antibiotic.
- The paper’s author Cesar de la Fuente said the findings are “the largest antibiotic discovery ever”, accelerating the process from years to just hours.
As the world faces growing threats from antibiotic-resistant bacteria, AI’s ability to unlock millions of new potential treatments could be a lifeline toward staying ahead in the race to outsmart superbugs responsible for millions of deaths every year.
Source: https://www.theguardian.com/society/article/2024/jun/05/ai-antibiotic-resistance
🔊 Stability AI releases open audio model
Stability AI just unveiled Stable Audio Open, a new model enabling users to create short audio samples and sound effects from text prompts.
- Stable Audio Open can create up to 47 seconds of high-quality audio from text prompts, focused primarily on sound effects and production elements.
- The model was trained on data from FreeSound and Free Music Archives to avoid copyright issues.
- Stable Audio Open can also be fine-tuned on custom audio, allowing artists to train the model on their own samples.
While the AI advances in text-to-image models have been the most visible (literally), both video and audio are about to take the same leap. Putting these tools in the hands of creatives will redefine traditional workflows — from musicians brainstorming new beats to directors crafting sound effects for film and TV.
Source: https://stability.ai/news/introducing-stable-audio-open
New AI Job Opportunities on June 06th 2024
- Twelve Labs – Head of Finance: https://jobs.therundown.ai/jobs/61919747-head-of-finance
- Fiddler AI – Senior Security Engineer: https://jobs.therundown.ai/jobs/61902058-senior-security-engineer-remote-or-hybrid
Siena – Director of Customer Success: https://jobs.therundown.ai/jobs/61919768-director-of-customer-success- Cresta – Senior Software Engineer (AI Agent): https://jobs.therundown.ai/jobs/61882269-senior-software-engineer-ai-agent
What Else Is Happening in AI on June 06th 2024
Mistral’s new SDK simplifies customization for users
Mistral’s SDK, Mistral-Finetune, will allow users to modify its models on workstations, servers, and small data center nodes. While optimized for multi-GPU setups, the SDK can also scale down to a single Nvidia A100 or H100 GPU. It enables developers to fine-tune data sets such as UltraChat within half an hour, says Mistral. (https://techcrunch.com/2024/06/05/mistral-launches-new-services-sdk-to-let-customers-fine-tune-its-models)
Salesforce inaugurates its first AI Centre in London
The goal of the centre is to foster collaboration, AI training, upskilling, and create AI-related jobs among developers, industry experts, and customers. This step is a part of its £4bn five-year investment in the UK, solidifying London’s position as a global AI hub. (https://www.reuters.com/technology/salesforce-open-first-ai-centre-london-2024-06-06)
eBay unveils new AI-tool to enhance product image backdrops
The tool, currently available for iOS users in the UK, USA, and Germany, automatically removes image backgrounds and allows users to replace them with AI-generated backdrops. The AI feature powered by Stable Diffusion will enable sellers to upload high-quality photos easily. (https://techcrunch.com/2024/06/05/ebay-ai-powered-background-enhancement-tool)
Asana introduces AI teammates
The platform leverages historical data based on parameters like skill sets and missing information, allowing teams to define tasks and get an overview of who is assigned which responsibility. The tool allows users to interact with it using an AI chat interface. (https://www.theverge.com/2024/6/5/24170480/asana-ai-teammate-workflow-assistant-chatbot)
Writer launches a suite of No-Code development tools
The Gen AI platform announced major expansions that included Writer Framework – a drag-and-drop tool that enables developers to connect pre-built UI components with generative AI to create custom AI applications. The tool additionally provides full flexibility to the underlying code. (https://venturebeat.com/ai/writer-launches-no-code-platform-and-framework-for-custom-enterprise-ai-applications)
A Daily chronicle of AI Innovations June 05th 2024:
Apple could crown OpenAI as King of the Valley
🚨 AI researchers demand ‘Right to Warn’
New ‘AI teammate’ can tell people what to do at work
Elon Musk explains reasoning for Nvidia chip re-route from Tesla to X
OpenAI seeks ‘vast quantities’ of nuclear fusion energy to power superhuman AI
Cisco has unveiled HyperFabric AI Clusters in collaboration with NVIDIA
Tesla’s AI ambitions on hold? Musk diverts chips to X & xAI
OpenAI insiders raise concerns over oversight and safety
ChatGPT, Claude, and Perplexity experienced outages at the same time
Raspberry Pi 5 gets AI boost with Hailo extension module
TECNO CAMON 30 series launches Ella-GPT AI assistant
Snowflake empowers enterprise AI with new No-Code studio
Zoom’s CEO envisions AI clones in meetings
Apple could crown OpenAI as King of the Valley
- Apple and OpenAI are reportedly partnering to integrate ChatGPT into the iPhone’s operating system, potentially making it a core feature on every device.
- The partnership could mark the end of Google’s competition with OpenAI for being the main AI chatbot on iPhones, putting OpenAI in front of Apple’s massive user base and enhancing its long-term influence in Silicon Valley.
- While it’s unclear exactly how Apple will use ChatGPT, possibilities include powering Siri or offering it as a standalone app, with new AI features likely to be introduced as opt-in services during the Worldwide Developers Conference next week.
- Source: https://gizmodo.com/apple-chatgpt-deal-crown-openai-sam-altman-king-valley-1851520594
🚨 AI researchers demand ‘Right to Warn’
Current and former employees from top AI labs, including OpenAI, Anthropic, and DeepMind just published an open letter calling for companies to expand whistleblower protections so workers can raise the alarm about potential AI dangers without fear of retaliation.
- The ‘Right to Warn AI’ petition was crafted by current and former employees of OpenAI, Anthropic, and Google DeepMind.
- The open letter was also endorsed by AI visionaries Yoshua Bengio, Geoffrey Hinton, and Stuart Russell.
- The statement pushes for AI firms to agree to several principles:
- Eliminating non-disparagement clauses concerning AI risk
- Establishing and facilitating anonymous channels for raising concerns
- Expanding whistleblower protections and anti-retaliation measures
- Several researchers posted threadson their experience, with Daniel Kokotajlo revealing he quit OpenAI after ‘losing hope’ the company would act responsibly.
The AI safety discourse is reaching a boiling point, and there is clearly a major industry divide that transcends any one AI firm or researcher. The proposed principles seem reasonable and necessary — but it remains to be seen if the top AI leaders will actually listen.
Source: https://righttowarn.ai/
New ‘AI teammate’ can tell people what to do at work
- Asana has introduced an “AI teammate” that not only assigns tasks but also fills in missing information, aiming to enhance team collaboration and overall efficiency within the platform.
- The AI model leverages historical data and team relationships to match tasks with employees’ specific skill sets, ensuring that the right people are assigned to the right projects for optimal performance, and proactively gathering any missing information needed for tasks.
- Asana’s AI teammate includes a chat interface that allows users to ask questions about their projects, similar to other AI tools from companies like Google, Amazon, and Microsoft, which are also focused on automating workflow tasks.
- Source: https://www.theverge.com/2024/6/5/24170480/asana-ai-teammate-workflow-assistant-chatbot
Elon Musk explains reasoning for Nvidia chip re-route from Tesla to X
- Elon Musk has acknowledged diverting Nvidia AI chips intended for Tesla to his other companies, xAI and social media firm X, claiming the chips would have been unused otherwise.
- This move comes as Musk repositions Tesla from solely a car manufacturer to an AI and robotics company, with plans to significantly increase its chip procurement for AI training by the year’s end.
- The timing of Musk’s confession could affect the upcoming vote on his substantial pay package, raising concerns among Tesla shareholders about potential resource misallocation to his other ventures.
- Source: https://fortune.com/2024/06/05/elon-musk-tesla-xai-nvidia-ai-training-chips-cnbc/
OpenAI seeks ‘vast quantities’ of nuclear fusion energy to power superhuman AI
- OpenAI is looking to secure a deal with Helion Energy to obtain “vast quantities” of nuclear fusion energy to create superhuman artificial intelligence, despite the technology not yet being commercially available.
- Helion Energy, supported by significant investments including $375 million from OpenAI’s CEO Sam Altman, aims to produce commercial-scale nuclear fusion energy by 2028.
- Nuclear fusion is considered the “holy grail of clean energy” and is crucial for meeting the energy needs of future AI, but achieving it at scale remains highly challenging.
- Source: https://www.independent.co.uk/tech/openai-nuclear-fusion-energy-ai-b2557064.html
Cisco has unveiled HyperFabric AI Clusters in collaboration with NVIDIA
Cisco and NVIDIA announced Cisco Nexus HyperFabric AI Clusters, an end-to-end infrastructure solution for scaling generative AI workloads in the data center. It combines Cisco’s AI-native networking with NVIDIA’s accelerated computing AI software and VAST’s data storage platform.
It is designed to simplify the deployment and management of generative AI applications for enterprise customers, providing centralized control across the entire AI infrastructure stack.
The Nexus HyperFabric AI cluster will be available for early customer trials in Q4 2024, with general availability expected shortly after.
Why does this matter?
This breakthrough solution aims to provide IT visibility and analytics across the entire AI infrastructure stack, allowing enterprises to focus on AI-driven revenue opportunities rather than spending excessive time on IT management.
Tesla’s AI ambitions on hold? Musk diverts chips to X & xAI
Elon Musk instructed Nvidia to prioritize shipments of AI chips to X and xAI over Tesla, diverting over $500 million worth of Nvidia’s flagship H100 AI chips that were initially reserved for Tesla.
This decision could delay Tesla’s plans to significantly increase its acquisition of H100 chips from 35,000 to 85,000 by the end of 2024, a crucial part of Musk’s vision for transforming Tesla into “a leader in AI and robotics.”
Consequently, this move could frustrate Tesla investors who are counting on Musk to deliver on his promises regarding autonomous driving and Tesla’s AI capabilities.
Why does this matter?
Musk’s decision to prioritize chip shipments to xAI could give it a technological edge in the race to develop advanced generative AI models, potentially outpacing competitors like OpenAI, Google, and others.
Source: https://www.cnbc.com/2024/06/04/elon-musk-told-nvidia-to-ship-ai-chips-reserved-for-tesla-to-x-xai.html
OpenAI insiders raise concerns over oversight and safety
Open AI researchers are concerned about the lack of proper oversight, the influence of profit motives, and the suppression of whistleblowers working on advanced AI technologies. They warn of risks ranging “from the further entrenchment of existing inequalities to manipulation and misinformation, to the loss of control of autonomous AI systems potentially resulting in human extinction.”
They want AI companies to agree to four principles: refraining from enforcing non-disparagement agreements, establishing anonymous channels to raise concerns, allowing employees to share risk-related information publicly while protecting trade secrets, and not retaliating against whistleblowers.
Why does this matter?
Amid ongoing OpenAI controversies, the letter, coupled with the high-profile names endorsing it, will place even greater scrutiny on its practices and decision-making. This could pressure the company to be more transparent and accountable.
Source: https://venturebeat.com/ai/more-openai-researchers-slam-company-on-safety-call-for-right-to-warn-to-avert-human-extinction
What Else Is Happening in AI on June 05th 2024
ChatGPT, Claude, and Perplexity experienced outages at the same time
This unusual occurrence could indicate a systemic problem rather than individual issues, possibly signaling a broader infrastructure or internet-scale issue affecting these providers. (https://techcrunch.com/2024/06/04/ai-apocalypse-chatgpt-claude-and-perplexity-are-all-down-at-the-same-time)
Raspberry Pi 5 gets AI boost with Hailo extension module
Raspberry Pi launched a $70 AI Kit, an extension for the Raspberry Pi 5. It includes a neural network inference accelerator, the Hailo-8L, powered by Hailo’s AI chip. With it, the Raspberry Pi 5 can perform inferencing at 13 tera-ops per sec, facilitating tasks like object detection, semantic segmentation, and facial landmarking for camera applications. (https://techcrunch.com/2024/06/04/raspberry-pi-partners-with-hailo-for-its-ai-extension-kit)
TECNO CAMON 30 series launches Ella-GPT AI assistant
It supports over 70 languages, helps with daily tasks and content creation, and improves user interaction with features like real-time translations, voice commands, and personalized assistance. Additional capabilities include Ask AI for text editing and grammar checks and AI Generate for turning sketches into images. (https://www.businesstoday.in/technology/news/story/tecno-camon-30-series-introduces-new-ai-assistant-ella-gpt-432156-2024-06-05)
Snowflake empowers enterprise AI with new No-Code studio
It announced several updates to its Cortex AI service and Snowflake ML. The introduction of No-Code AI & ML Studio stands out among these enhancements, enabling every enterprise user to construct AI applications tailored to their specific use cases without requiring coding expertise. (https://venturebeat.com/ai/snowflake-doubles-down-on-enterprise-ai-with-no-code-studio-and-more)
Zoom’s CEO envisions AI clones in meetings
Zoom’s CEO, Eric Yuan, envisions AI-driven digital avatars, or “digital twins,” representing humans in meetings, potentially reducing the workweek to three or four days. He argues AI can efficiently manage tasks like Zoom calls, chats, and emails, allowing people to reclaim time spent in meetings. This initiative forms part of Zoom’s 2.0 journey, aiming to evolve beyond a mere videoconferencing tool. (https://www.theverge.com/2024/6/3/24168733/zoom-ceo-ai-clones-digital-twins-videoconferencing-decoder-interview)
Google’s AI Overviews appear on 70% fewer Search results pages now: https://www.zdnet.com/article/googles-ai-overviews-appear-on-70-fewer-search-results-pages-now
OpenAI CEO Sam Altman’s chip plans were ‘too aggressive’ for TSMC: https://the-decoder.com/openai-ceo-sam-altmans-chip-plans-were-too-aggressive-for-tsmc/
AI startup Cohere gets $450 million from Nvidia, Salesforce, and others: https://the-decoder.com/ai-startup-cohere-gets-450-million-from-nvidia-salesforce-and-others/
Cisco announces $1bn AI investment fund: https://techmonitor.ai/technology/ai-and-automation/cisco-ai-invest-fund
MIT’s new AI chatbot can simulate users’ future selves: https://www.newsbytesapp.com/news/science/mit-ai-researchers-create-chatbot-to-simulate-future/story
📱 AI Training: Explain images in real-time with GPT-4o
This hack lets you access GPT-4o directly from an iPhone via a custom shortcut, allowing you to analyze and explain images in real time.
- Head over to OpenAI’s platform to obtain an API key. Make sure you have some credits in your account.
- Go to your iPhone Shortcuts and click the “+” button.
- Add different actions before your OpenAI API call, e.g., your desired prompt as “Text”, your API key as “Text”, and “Take a screenshot”.
- Call GPT-4o by using “*https://api.openai.com/v1/
chat/completions”* and obtain a description of what you are seeing!
📶 AI Research: OpenAI researcher: AGI coming by 2027
Former OpenAI researcher Leopold Aschenbrenner just released a new essay series detailing his view on AGI, saying the rate of AI progress will be the most intense and volatile events in human history.
- Aschenbrenner says that ‘nobody is pricing in’ what is coming in AI, and to expect another GPT-2 to GPT-4 level jump by 2027 (that would take us to AGI).
- The researcher predicts that hundreds of millions of AGI would then rapidly accelerate progress, compressing decades of progress into a year.
- He also discussed the economic and military advantages that will come with AGI, calling it a national security issue that needs its own ‘Manhattan Project’.
- Aschenbrenner reiterated these views on the Dwarkesh Podcast, also revealing he was fired from OpenAI after raising AI security concerns.
As an insider at OpenAI, Aschenbrenner’s analysis carries weight — and his projections paint a striking picture of how radically AGI will reshape the world. His commentary on the firing also raises even more drama, given OpenAI’s current media battle with former researchers and the board over safety concerns.
Source: https://situational-awareness.ai/wp-content/uploads/2024/06/situationalawareness.pdf
New AI Jobs Opportunities on June 05th 2024:
- Siena – Head of Design: https://jobs.therundown.ai/jobs/61293280-head-of-design
Figure AI – Software Engineer, Developer Tools and Productivity: https://jobs.therundown.ai/jobs/59968286-software-engineer-developer-tools-and-productivity- Snorkel – ML Enablement Lead: https://jobs.therundown.ai/jobs/61783157-ml-enablement-lead
Cohere – Senior Manager, Solutions Architect: https://jobs.therundown.ai/jobs/61771861-senior-manager-solutions-architect
A Daily chronicle of AI Innovations June 04th 2024:
Intel’s new data center chips handle demanding AI workloads
Amazon’s Project PI detects defective products before shipping
Microsoft’s Aurora AI could transform weather forecasting
High-quality education data key to AI performance: Research
LeCun criticizes Musk for mistreating scientists and spreading misinformation
Microsoft to invest $3.2 billion in Sweden to expand AI and cloud infrastructure
Microsoft identifies few AI deep fakes in the EU election
☕️ Robots serve up coffee at Starbucks
📦 Amazon’s AI ‘private investigator’
Intel’s new data center chips handle demanding AI workloads
Intel has announced next-generation Xeon 6 server processors to regain the data center market share it had been losing to AMD. They come in two varieties. The larger, more powerful version is designed to run the computations necessary to generate responses from complex AI models and other tasks requiring increased horsepower. Intel plans to help companies modernize their aging data center systems with Xeon 6 chips so they can generate new digital capabilities.
Intel also revealed that its Gaudi 3 AI accelerator chips would be priced much lower than its rivals’ products.
Why does it matter?
As more companies have started to deploy AI apps and models, the AI hardware space is getting heated with competition. Intel seems to be one of the only companies innovating across the full spectrum of the AI market opportunity– from semiconductor manufacturing to PCs and data center systems.
Source: https://venturebeat.com/ai/intel-reveals-xeon-6-processor-enterprise-ai-gaudi-3-accelerator-price
Amazon’s Project PI detects defective products before shipping
Amazon has launched Project PI, which uses AI to scan products for defects before shipping them to customers. This AI system combines computer vision to visually inspect items with generative AI models that can understand things like text on packages.
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As products go through a scanning tunnel, the AI checks for damage, incorrect colors/sizes, or expired dates. If it finds a problem, that item is isolated to evaluate the defect. Project PI already operates in several of Amazon’s warehouses across North America. The system catches millions of defective products daily before they reach customers.
Why does it matter?
Using innovative AI systems, retailers can avoid dealing with returns and reshipments, reducing costs and inefficiencies. By cutting down unnecessary shipping, retailers minimize environmental impact and carbon emissions, contributing to sustainability goals.
Microsoft’s Aurora AI could transform weather forecasting
Microsoft has developed a powerful new AI foundation model called Aurora that can make highly accurate weather predictions. It is trained on over a million diverse weather and climate data hours. This allows it to develop a comprehensive understanding of atmospheric dynamics and excel at forecasting various weather variables like temperature, wind speed, air pollution levels, and greenhouse gas concentrations.
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What sets Aurora apart is its ability to capture intricate details at high spatial resolution (around 11km) while being much faster and more computationally efficient than traditional numerical weather prediction systems. Aurora’s flexible architecture and training on heterogeneous datasets enable it to adapt to different forecasting tasks and resolutions.
Why does it matter?
This major advancement in AI-based weather forecasting could help communities prepare for extreme weather events like storms. AI will also play a bigger role in predicting the impacts of climate change. We may be nearing days when weatherman’s predictions will be 100% accurate.
Source: https://www.microsoft.com/en-us/research/blog/introducing-aurora-the-first-large-scale-foundation-model-of-the-atmosphere
☕️ Robots serve up coffee at Starbucks
South Korean search giant Naver shared a video of the company’s in-office autonomous Starbucks location — with 100 robots delivering coffee and other items throughout the building.
- Naver’s autonomous wheeled “Rookie” robots navigate the building’s 36 floors to bring packages, coffee, and lunch to employees.
- Rookie bots are assisted by dual-armed “Ambidex” robots, which are lightweight and dexterous for safer human interactions.
- Both robots connect to the company’s ARC system, which enables control of navigation, planning, and processing for the entire fleet through cloud computing.
- Naver also developed RoboPort, a dedicated elevator system that allows robots to move quickly and efficiently between floors.
Naver’s putting its robots to work in the ‘real world’ — and while the location is just a testing ground for now, it’s also a glimpse into how service robotics will be integrated into the mainstream sooner than many expect.
📦 Amazon’s AI ‘private investigator’
Amazon just unveiled Project P.I., an AI system that scans products in the company’s fulfillment centers to detect damaged or incorrect items before they ship to reduce returns and waste.
- Project P.I. uses AI and computer vision to spot defects like damaged products as well as wrong colors/sizes as items pass through imaging tunnels.
- The system is already in place across the company’s North American fulfillment centers, with plans to expand globally throughout the year.
- Amazon also utilizes a multimodal LLM to investigate issues further, combining customer feedback with Project P.I. images to identify the source problem.
Amazon’s no stranger to adopting AI across its operations, and Project P.I. is yet another innovative approach to supercharge efficiency. Soon, the company will likely combine these talents with advanced warehouse robots — taking humans out of the fulfillment process altogether.
Source: https://www.aboutamazon.com/news/innovation-at-amazon/amazon-ai-sustainability-carbon-footprint-product-defects
⛈️ AI RESEARCH: Microsoft’s AI weather forecasting model
Microsoft researchers just introduced Aurora, a new AI foundation model trained on over 1M hours of weather and climate data that can generate accurate weather forecasting insights.
- Aurora produces accurate forecasts across a variety of weather scenarios, including extreme events or areas with limited data.
- The 1.3B parameter model can generate a 5-day global air pollution prediction in under 60 seconds.
- Aurora also produces 10-day global forecasts at high resolutions, beating both the top models and specialized AI weather systems.
Aurora’s success could usher in a huge shift in the way we do weather forecasting. With the recent progress of AI models, combined with massive amounts of atmospheric data — the day that the weatherman is truly right 100% of the time might be coming sooner than most people probably think.
Source: https://www.microsoft.com/en-us/research/blog/introducing-aurora-the-first-large-scale-foundation-model-of-the-atmosphere
New AI Job Opportunities on June 04th 2024
What Else Is Happening in AI on June 04th 2024
Hugging Face detects ‘unauthorized access’ to its AI model hosting platform
Last week, Hugging Face detected unauthorized access to Spaces, its platform for creating, sharing, and hosting AI models. It suspects some Spaces secrets (private pieces of info that act as keys to unlock protected resources like accounts, tools, and dev environments) have leaked. It has taken steps to remediate this. (https://huggingface.co/blog/space-secrets-disclosure)
High-quality education data key to AI performance: Research
Researchers created a high-quality dataset called FineWeb-Edu by filtering an existing web dataset for educational content. Language models trained on FineWeb-Edu significantly outperformed models trained on unfiltered datasets. The research shows that data quality and diversity are more important than dataset size for training effective AI models. (https://x.com/gui_penedo/status/1797173053123916036)
LeCun criticizes Musk for mistreating scientists and spreading misinformation
LeCun has again rebuked Musk on X after they had a heated feud on X last week. This time, LeCun accused Musk of forcing researchers to work in secrecy instead of allowing them to publish their work, which slows scientific progress. He also accused Musk of falsely predicting AI and autonomous vehicles. (https://venturebeat.com/ai/yann-lecun-ai-pioneer-sharply-criticizes-elon-musk-over-treatment-of-scientists-and-spreading-of-misinformation)
Microsoft to invest $3.2 billion in Sweden to expand AI and cloud infrastructure
Microsoft will invest $3.2 billion over two years to expand its cloud and AI infrastructure in Sweden. Microsoft’s biggest investment to date in Sweden includes a pledge to help train some 250,000 people with AI skills, corresponding to 2.4% of the population, which will help boost the Nordic country’s competitiveness in generative AI. (https://www.reuters.com/technology/microsoft-invest-32-bln-swedish-cloud-ai-2024-06-03)
Microsoft identifies few AI deep fakes in the EU election
As the European Union prepares for its elections in June 2024, the threat of AI-generated deepfakes has become a significant concern. Microsoft President Brad Smith highlighted this burning issue, emphasizing its potential impact on the democratic process and the steps Microsoft is taking to mitigate these risks. (https://www.reuters.com/technology/few-ai-deepfakes-identified-eu-elections-microsoft-president-says-2024-06-03 )
A Daily chronicle of AI Innovations June 01-03 2024:
Windows AI feature is a security ‘disaster’
Zoom CEO wants AI clones in meetings
Nvidia and AMD unveil next generation AI chips as competition heats up
Nvidia announces an AI gaming assistant
Nvidia CEO drops a series of AI announcements
AMD outlined new chip architecture strategy for AI data centers
ElevenLabs’ Text to Sound AI wows creators
Windows AI feature is a security ‘disaster’
- Microsoft’s new AI-powered Recall feature, which captures and stores screenshots of all user activity on a PC, has been criticized as a cybersecurity “disaster” due to significant security vulnerabilities discovered during testing.
- Cybersecurity expert Kevin Beaumont found that Recall stores screenshots in an unencrypted plain text database, making it easy for malware and attackers to access sensitive data, despite Microsoft’s claims of a secure, encrypted experience.
- Privacy advocates and the UK’s ICC have raised concerns about Recall’s potential to expose personal information, with criticisms focusing on its default enabled status and the lack of comprehensive content moderation to protect sensitive data like passwords and financial information.
- Source: https://www.theverge.com/2024/6/3/24170305/microsoft-windows-recall-ai-screenshots-security-privacy-issues
Zoom CEO wants AI clones in meetings
- Zoom CEO Eric Yuan envisions using AI-powered digital twins to attend meetings on behalf of users, allowing people to manage their time more effectively.
- Yuan aims to expand Zoom beyond videoconferencing into the broader enterprise software market, competing with giants like Microsoft and Google by integrating productivity tools such as email and chat.
- Zoom is heavily investing in AI technology to facilitate this transition, although Yuan acknowledges challenges like AI hallucination that need to be addressed before fully realizing his vision.
- Source: https://www.theverge.com/2024/6/3/24168733/zoom-ceo-ai-clones-digital-twins-videoconferencing-decoder-interview
Nvidia and AMD unveil next generation AI chips as competition heats up
- Nvidia and AMD showcased their latest AI chips at a major computing conference, heightening their rivalry in the AI chip market.
- Nvidia CEO Jensen Huang emphasized his company’s dominance and highlighted a new chip, Rubin, set for release in 2026, while AMD CEO Lisa Su focused on teamwork and collaborative presentations with industry partners.
- The competition between the two companies is significant for AI development, with Nvidia promoting a proprietary ecosystem and AMD advocating for open standards and interoperability.
- Source: https://finance.yahoo.com/news/nvidia-amd-chiefs-square-off-101007730.html
Nvidia announces an AI gaming assistant
- Nvidia recently demonstrated its AI assistant, G-Assist, showcasing its evolution from an April Fools’ prank to a powerful tool for game developers and RTX GPU owners.
- G-Assist can respond to voice queries, understand in-game activities, provide guidance based on player’s skill points, and offer performance-enhancing recommendations for a smooth gaming experience.
- The AI assistant optimizes PC settings, monitors latency and frame rates, detects refresh rate discrepancies, and suggests ways to boost performance, including overclocking the GPU if necessary.
- Source: https://www.newsbytesapp.com/news/science/nvidia-g-assist-ai-assistant-breaks-cover-features-specifications/story
Nvidia CEO drops a series of AI announcements
Nvidia CEO Jensen Huang revealed the company’s ambitious plans for annual AI accelerator upgrades, targeting a broader range of industries to expand its customer base.
- It will release the Blackwell Ultra chip in 2025 and the next-generation Rubin platform in 2026.
- It is also releasing a new server design, MGX, to help companies like HPE and Dell bring products to market faster.
- They are promoting the use of digital twins in its Omniverse virtual world, showcasing a digital twin of Earth for sophisticated modeling tasks.
- Introduces Project G-Assist, an RTX-powered AI assistant technology that provides context-aware help for PC games and apps.
- G-Assist uses voice or text inputs and game window snapshots to provide personalized responses based on in-game context.
- Developers can customize the AI models for specific games or apps, and they can run on the cloud or locally on GeForce RTX AI PCs and laptops.
- Nvidia partnered with Studio Wildcard for a tech demo using ARK: Survival Ascended, showcasing how G-Assist can help with quests, items, lore, and challenging bosses. Check out full keynote speech:
- https://www.youtube.com/live/pKXDVsWZmUU?si=mOPV2g0EP_gcUfMa
Why does it matter?
These announcements show how eager Nvidia is to retain its position as a leader in the AI hardware market. In addition to pushing the acceleration of AI chips, Nvidia is developing new tools to shape AI’s implementation in multiple sectors.
AMD outlined new chip architecture strategy for AI data centers
AMD CEO Lisa Su introduced new AI processors at Computex, including the MI325X accelerator, set to be available in Q4 2024.
- The CEO announced the MI325X accelerator, which will be released in Q4 2024, and outlined the company’s plan to develop AI chips over the next two years.
- Introduced the MI350 series, expected in 2025, which promises a 35x improvement in inference performance compared to the current MI300 series.
- The company also teased the MI400 series, slated for 2026, based on the mysterious “Next” architecture.
With AMD and Nvidia moving to annual release cycles, the competition is heating up to meet the soaring demand for AI semiconductors.
Why does it matter?
AMD’s aggressive push to challenge Nvidia’s market leadership could lead to increased innovation, lower prices, and more widespread adoption of AI across various sectors.
Source: https://www.reuters.com/technology/amd-launches-new-ai-chips-take-leader-nvidia-2024-06-03
ElevenLabs’ Text to Sound AI wows creators
ElevenLabs introduces Text to Sound, an AI model that generates sound effects, instrumental tracks, soundscapes, and character voices from text prompts. The tool aims to help film, TV, video games, and social media creators produce high-quality audio content quickly and affordably.
They have partnered with Shutterstock to fine-tune the model using their diverse audio library of licensed tracks. Users can generate sound effects by logging in, describing the desired sound, and downloading the best results.
Note: This tool doesn’t have a content filter and can generate any raw content through conditional prompting.
Why does it matter?
It could significantly reduce production costs and timelines by simplifying the development of high-quality sound effects, music, and voices, encouraging smaller studios and individual creators to compete with larger players.
Source: https://elevenlabs.io/blog/sound-effects-are-here
What Else Is Happening in AI on June 03rd 2024
xAI is developing two new modes for the Grok AI chatbot
These two new modes are ‘Socrates’ and ‘DEI’ (Diversity, Equity and Inclusion). Grok currently offers normal mode, fun mode, and the recently announced ‘Unhinged’ mode. In DEI mode, Grok will act as a ‘Senior VP of Diversity and Inclusion’ and provide correct answers even to incorrect questions. The function of the ‘Socrates’ mode is not yet clear. The release date for these new modes has not been confirmed. (https://www.latestly.com/socially/technology/grok-new-modes-elon-musks-xai-working-on-two-new-modes-called-socrates-and-dei-likely-to-be-announced-soon-6006912.html)
Sony Pictures CEOannounces AI plans for better movie and TV production
The move comes amid negotiations between Hollywood’s major crew union and top studios. While union agreements will define the extent of AI use in the industry, the tech is already eliminating jobs in Hollywood, particularly in voice acting, concept art, VFX, and postproduction. (https://www.hollywoodreporter.com/business/business-news/sony-pictures-adopt-ai-streamline-production-says-ceo-tony-vinciquerra-1235912109)
Arm predicts 100 Billion devices AI-ready by 2025
According to CEO Rene Haas at the Computex forum in Taipei, Arm Holdings expects a staggering 100 billion Arm devices worldwide to be primed for artificial intelligence by the end of 2025. (https://www.reuters.com/technology/arm-expects-100-billion-arm-devices-will-be-ready-ai-by-end-2025-2024-06-03)
Meta’s AI generates bizarre summaries of Facebook comments on various posts
The AI picks up on both serious and lighthearted comments, often highlighting the more outlandish ones. It’s unclear how Meta chooses which posts to display these summaries on. However, the summaries have raised privacy concerns, as Meta feeds user comments into its AI system. (https://www.theverge.com/2024/5/31/24168802/meta-ai-facebook-comments-summaries)
Finnish startup Binit is developing an AI household waste tracker
The gadget, designed to be mounted in the kitchen, has cameras and sensors to scan items before throwing them away. Binit uses OpenAI’s GPT for image recognition, achieving nearly 98% accuracy in trash recognition. The app provides analytics, feedback, and gamification to encourage users to reduce waste, with tests showing a 40% reduction in mixed bin waste. (https://techcrunch.com/2024/06/03/binit-is-bringing-ai-to-trash)
Latest AI Tools on June 03rd 2024:
Consistent Character Model – Create consistent character images in different poses: https://supertools.therundown.ai/content/consistent-character-mode
Perplexity Pages – Turn your research into shareable articles with AI: https://supertools.therundown.ai/content/paper-clipserplexity-ai- PixVerse Magic Brush – Brush areas, mark directions, and watch images come to life: https://supertools.therundown.ai/content/pixverse
Glaze – Protect artists from generative AI: https://supertools.therundown.ai/content/glaze- Fontjoy – Helps designers find perfect font pairings in one click: https://supertools.therundown.ai/content/fontjoy
Eva Coach – An AI assistant to help manage work-related stress: https://supertools.therundown.ai/content/eve-coach
Latest AI Jobs on June 03rd 2024:
- Figure AI – Solutions Lead: https://jobs.therundown.ai/jobs/59875235-solutions-lead
- Kumo – Software Engineer Internship: https://jobs.therundown.ai/jobs/61517389-software-engineer-internship
- Palantir Technologies – Backend Software Engineer, Application Development: https://jobs.therundown.ai/jobs/61517369-backend-software-engineer-application-development
Meta – Technical Program Manager, AI Research: https://jobs.therundown.ai/jobs/60072576-technical-program-manager-ai-research
- AI: The Ultimate Sherlocking?by /u/mintone (Artificial Intelligence) on July 26, 2024 at 12:16 pm
submitted by /u/mintone [link] [comments]
- Speech-to-Text Solution for Multilingual Sentences / Mixed-language speechby /u/simbaninja33 (Artificial Intelligence Gateway) on July 26, 2024 at 11:54 am
I am looking for a speech-to-text solution, either paid or open-source, that can accurately transcribe speech containing a mix of two languages within the same sentence. I have explored options like Microsoft Azure, Google Cloud, and OpenAI, but haven't found a satisfactory solution yet. For example, I need the solution to handle sentences like: "I have tried the restaurant yesterday, it is muy muy bueno, they serve some of the pizza, que haria mi abuela super celoza de la receta." "I went to the store y compré un poco de pan because we were running low." I have already tried Microsoft Azure, which can handle multiple languages, but only when they are not mixed within the same sentence (as mentioned in their documentation). Google Cloud's speech-to-text fails to accurately transcribe mixed-language speech, and OpenAI doesn't seem to offer this functionality. I am open to both continuous real-time speech recognition and file-based recognition. For real-time applications, I am also willing to consider workarounds, such as implementing a "button" that can be clicked to quickly switch between the main language and the second language. If anyone has experience with a solution that can handle this type of mixed-language speech recognition, I would greatly appreciate any suggestions or recommendations. Thank you in advance for your help! submitted by /u/simbaninja33 [link] [comments]
- Any open source AI model with web search abilities?by /u/david8840 (Artificial Intelligence Gateway) on July 26, 2024 at 11:45 am
Is there any open source AI model with web search abilities? I want to be able to ask it questions which require real time internet searching, for example "What is the weather like now in NY?" submitted by /u/david8840 [link] [comments]
- Which companies are leading the way in AI detection? (for audio/video deepfakes, etc.?)by /u/ProfessionalHat3555 (Artificial Intelligence Gateway) on July 26, 2024 at 11:21 am
So I was listening to the most recent Bill Simmons pod w/ Derek Thompson where they discuss conspiracy theories and AI shit-detection (40:00-48:00 if you're curious)... 1ST Q: what companies are you aware of that are already working on AI detection? 2ND Q: where do you think the AI detection slice of the market is going? Will there be consumer-grade products that we can use to run, say, a political video through a detection software & get a % of realness rating on it? Will these tools ONLY be available to big conglomerates who become the purveyors of truth? 3RD Q: If we're UNABLE to do this at-scale yet, what would need to happen tech-wise for AI detection to become more accessible to more people? (disclaimer: I'm not a dev) submitted by /u/ProfessionalHat3555 [link] [comments]
- AI can't take people's jobs if there's no people.by /u/baalzimon (Artificial Intelligence Gateway) on July 26, 2024 at 10:53 am
Looks more and more likely that human populations will decline in the future. Maybe the workforce will just be AI robots rather than young people. PEW: The Experiences of U.S. Adults Who Don’t Have Children 57% of adults under 50 who say they’re unlikely to ever have kids say a major reason is they just don’t want to; 31% of those ages 50 and older without kids cite this as a reason they never had them https://www.pewresearch.org/social-trends/2024/07/25/the-experiences-of-u-s-adults-who-dont-have-children/ submitted by /u/baalzimon [link] [comments]
- UK School Under Fire for Unlawful Facial-Recognition Useby /u/Think_Cat1101 (Artificial Intelligence Gateway) on July 26, 2024 at 10:43 am
https://www.msn.com/en-us/news/technology/uk-school-under-fire-for-unlawful-facial-recognition-use/ar-BB1qEmeX?cvid=6dfe65854c6e4c2ad473b0e649e795b2&ei=10 submitted by /u/Think_Cat1101 [link] [comments]
- OpenAI reveals 'SearchGPT'by /u/Mindful-AI (Artificial Intelligence Gateway) on July 26, 2024 at 10:41 am
submitted by /u/Mindful-AI [link] [comments]
- Amazon’s AI Chip Revolution: How They’re Ditching Nvidia’s High Prices and Speeding Aheadby /u/alyis4u (Artificial Intelligence Gateway) on July 26, 2024 at 9:23 am
Six engineers tested a brand-new, secret server design on a Friday afternoon in Amazon.com’s chip lab in Austin, Texas. Amazon executive Rami Sinno said on Friday during a visit to the lab that the server was full of Amazon’s AI chips, which compete with Nvidia’s chips and are the market leader.https://theaiwired.com/amazons-ai-chip-revolution-how-theyre-ditching-nvidias-high-prices-and-speeding-ahead/ submitted by /u/alyis4u [link] [comments]
- OpenAI's SearchGPT Is Coming For Google Search; Here Are The Features That Will Reportedly Make It Betterby /u/vinaylovestotravel (Artificial Intelligence Gateway) on July 26, 2024 at 9:00 am
Dubbed "SearchGPT," the tool will offer "fast and timely answers with clear and relevant sources" by referencing content from websites and news publishers, including OpenAI content partners such as News Corp (The Post's parent company) and The Atlantic. Read more: https://www.ibtimes.co.uk/openais-searchgpt-coming-google-search-here-are-features-that-will-reportedly-make-it-better-1725770 submitted by /u/vinaylovestotravel [link] [comments]
- Deleting chats from Blackbox AI?by /u/Intelligent-Fig-7791 (Artificial Intelligence Gateway) on July 26, 2024 at 7:40 am
How on earth do you delete chats from blackbox.ai ? it seems like all chats are public by default submitted by /u/Intelligent-Fig-7791 [link] [comments]
A Daily Chronicle of AI Innovations in May 2024
AI Innovations in May 2024.
Welcome to our blog series “AI Innovations in May 2024”! This is an evolving article that will be updated daily throughout the month of May 2024 to bring you the latest news and developments in the world of artificial intelligence. As we move further into the 21st century, the pace of AI innovation continues to accelerate at a breathtaking rate. Each day, researchers, engineers, and visionaries are pushing the boundaries of what’s possible, unlocking new capabilities and applications that are transforming industries, enhancing our lives, and shaping the future. In this blog, we’ll dive deep into the most exciting AI breakthroughs, advancements, and milestones happening in May 2024. From groundbreaking AI-powered technologies and cutting-edge research to the societal and ethical implications of these innovations, we’ll provide you with a comprehensive and insightful look at the rapidly evolving world of artificial intelligence. Whether you’re an AI enthusiast, a tech-savvy professional, or simply someone curious about the future, this blog will keep you informed, inspired, and engaged. So, join us on this journey of discovery as we explore the frontiers of AI and uncover the innovations that are shaping our world. Stay tuned for daily updates, and get ready to be amazed by the incredible advancements that are happening in the world of AI!
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A Daily chronicle of AI Innovations May 31st 2024:
OpenAI reports misuse of its AI for ‘deceptive activity’
OpenAI introduces ChatGPT Edu for universities
Tech giants form industry group to develop next-gen AI chip
Google mistakenly erased $135 billion from customer account
Apple planning AI-driven overhaul for Siri to manage individual apps
TikTok to create a US-only algorithm
World’s first tooth-regrowing drug approved for human trials
Perplexity launches AI publishing platform
OpenAI launches ChatGPT Edu for universities
OpenAI reports misuse of its AI for ‘deceptive activity’
OpenAI identified and disrupted five covert influence operations that used its generative AI models for “deceptive activity” across the internet.
OpenAI said the threat actors used its AI models to generate short comments, longer articles in various languages, made-up names, and bios for social media accounts over the last three months. These campaigns included threat actors from Russia, China, Iran, and Israel. It focused on issues including Russia’s invasion of Ukraine, the conflict in Gaza, the Indian elections, and politics in Europe and the United States, among others.
OpenAI has also published a trend analysis report that describes the behavior of these malicious actors in detail.
Why does it matter?
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This provides concrete evidence of generative AI being used to spread misinformation and manipulate global affairs. While there were no novel attacks this time, defending against them in the future will require continued investment in monitoring, safeguards, and public awareness from AI developers and platforms.
Source: https://openai.com/index/openai-and-reddit-partnership
Tech giants form industry group to develop next-gen AI chip
Intel, Google, Microsoft, Meta, and other tech heavyweights are establishing a new industry group called the Ultra Accelerator Link (UALink) Promoter Group to guide the development of the components that link together AI accelerator chips in data centers. The group also counts AMD, Hewlett Packard Enterprise, Broadcom, and Cisco among its members.
It is proposing a new industry standard to connect the AI accelerator chips found within a growing number of servers. It’s version one, UALink 1.0, will connect up to 1,024 AI accelerators — GPUs only — across a single computing “pod.” It is set to arrive in Q4 2024.
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Why does it matter?
Nvidia, currently the biggest player in the AI chip market with an 80% share, is not in the group. Tech giants have been keen to reduce their dependence on Nvidia by working on their own custom chips. This seems to be the latest effort to break Nvidia’s dominance.
Apple planning AI-driven overhaul for Siri to manage individual apps
- Apple is planning a major AI upgrade for Siri in iOS 18, enabling users to control specific features within iPhone apps using voice commands, initially limited to Apple-developed apps.
- The update will eventually allow Siri to handle multiple tasks in a single request, such as summarizing a recorded meeting and sending it to a friend, as part of Apple’s larger AI strategy to be unveiled at WWDC on June 10.
- New AI-driven capabilities will enable Siri to control iPhones more precisely, including opening files, moving notes, managing emails, and summarizing articles, enhancing device navigation and functionality.
- Source: https://www.newsbytesapp.com/news/science/siri-to-gain-enhanced-app-control-in-ios-18/story
Perplexity launches AI publishing platform
- Perplexity introduced ‘Pages’, an AI-driven feature that creates customizable webpages for research and writing based on user prompts.
- The ‘Pages’ tool gathers information using Perplexity’s AI models, organizes it into sections with citations, and tailors content for different audience levels but requires new prompts to correct errors.
- The Verge tested ‘Pages’ on a complex topic and noted its difficulty with intricate subjects, showing it might struggle with in-depth research despite effectively explaining fundamental concepts.
- Source: https://www.newsbytesapp.com/news/science/perplexity-launches-new-ai-feature-called-pages/story
OpenAI launches ChatGPT Edu for universities
- OpenAI has introduced ChatGPT Edu, a new version of ChatGPT, aimed at improving the academic and operational efficiency of universities with advanced text interpretation and data analysis capabilities, and support for over 50 languages.
- This version was created following the success of ChatGPT Enterprise in academic institutions such as Oxford, Wharton, and ASU, where it has been used for tasks ranging from large dataset analysis to personalized language practice.
- ChatGPT Edu provides affordable access to the GPT-4o model, enhanced message limits, robust security measures, and assures that data and conversations will not be used for training OpenAI models, ensuring a safe environment for educational use.
- Source: https://www.maginative.com/article/openai-launches-chatgpt-edu-for-universities/
OpenAI says it stopped multiple covert influence operations that abused its AI models. https://www.engadget.com/openai-says-it-stopped-multiple-covert-influence-operations-that-abused-its-ai-models-225115466.html
Google says it fixed the AI Overviews everyone has been roasting for weeks. https://bgr.com/tech/google-says-it-fixed-ai-overviews-blames-some-of-the-problems-on-you/
Anthropic’s Claude AI now autonomously interacts with external data and tools. https://venturebeat.com/ai/anthropic-claude-ai-now-autonomously-interacts-with-external-data-and-tools/
🎬 The Simulation unveils ‘Netflix of AI’
AI entertainment startup The Simulation (formerly Fable Studio) just launched Showrunner, a platform that allows users to generate and watch AI-powered TV shows set in virtual simulated worlds.
- Showrunner combines multi-agent simulations with LLMs to create interactive content aligned with specific virtual worlds.
- Users can watch, direct, and star in shows set in virtual environments populated by AI characters, with the ability to craft episodes from prompts.
- The platform is launching with 10 original shows, with users able to generate new episodes and edit deeper into scripts, shots, and voices.
- Showrunner is opening in alpha to a limited number of users, with select user-created episodes receiving payment, rev share, and IMDB credits.
- The studio went viral last year after the release of its South Park episode demos and research paper on its SHOW-1 model.
Showrunner is a wild step towards the merging of AI, gaming, and traditional entertainment, enabling users to not only consume but create stories within simulated worlds. The lines are blurring fast between creators and audiences — and the traditional Hollywood media model may never be the same.
Source: https://x.com/fablesimulation/status/1796245808066740274
New AI Job Opportunities on May 31st 2024 |
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What Else Is Happening in AI on May 31st 2024
Anthropic’s Claude can now autonomously interact with external data and tools
Anthropic has announced the general availability of Tool Use for its AI, Claude. It allows Claude to autonomously interact with external data sources, APIs, and tools, making it a business-ready trusted AI solution that can be confidently adopted by enterprises across various industries. (https://venturebeat.com/ai/anthropic-claude-ai-now-autonomously-interacts-with-external-data-and-tools)
Perplexity goes beyond AI search, launches publishing platform ‘Pages’
It is a tool to transform disorganized AI knowledge and research into easily digestible articles and reports for sharing. Users just have to describe the topic, select the target audience, and it will produce an in-depth article with a clear title, subheadings, associated media, and relevant citations. (https://x.com/perplexity_ai/status/1796203494401040846)
Google poaches AWS and Microsoft executives to strengthen AI offerings for cloud customers
Google hired two executives from these rivals as it builds out its AI ranks with the goal of boosting its cloud business. Saurabh Tiwary, a former corporate VP at Mircosoft, will join a newly created role as general manager of cloud AI. Raj Pai, a former VP at AWS, will oversee product management of the cloud AI team. (https://www.theinformation.com/articles/google-poaches-aws-microsoft-executives-for-cloud-unit)
Scale AI introduces SEAL Leaderboards, a new evaluation metric for frontier AI models
Trusted third-party evaluations are a missing part of the AI ecosystem, which is why Scale AI built them. These evals will be impossible to overfit, private, domain expert evaluations, unexploitable, and continuously updated with new data and models. (https://x.com/alexandr_wang/status/1795857651592491281)
OpenAI offers nonprofit organizations discounts on corporate ChatGPT subscriptions
It seeks to grow sales of its AI product to enterprises. Under the program, large nonprofits can get 50% off the enterprise-grade version of ChatGPT. Smaller nonprofits using ChatGPT Team will pay $20 per month per user instead of $25 or $30. (https://www.reuters.com/technology/openai-offers-nonprofits-discounts-corporate-chatgpt-product-2024-05-30)
A Daily chronicle of AI Innovations May 30th 2024:
Microsoft is worried about OpenAI’s deal with Apple
Mistral announces Codestral, a code-generation LLM it says outperforms all others
FBI dismantles the ‘largest botnet ever’
OpenAI’s news deals continue, with Vox and the Atlantic signing on
Mistral AI introduces Codestral, a code-generation AI model
OpenAI licenses content from Vox Media and The Atlantic
Google infuses Chromebook Plus with powerful AI features
Mistral AI introduces Codestral, a code-generation AI model
Codestral is a 22B parameter generative AI model designed specifically for code generation tasks. It is trained in over 80 programming languages, including popular ones like Python, Java, C++, and JavaScript. It excels at code completion, writing tests, filling in partial code, and testing code, thereby improving developer productivity and reducing errors.
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The model sets a new performance/latency standard for code generation tasks compared to previous models. It can be downloaded on HuggingFace and is available on Mistral’s API platform through instruct and fill-in-the-middle endpoints. It can be easily integrated into VScode plugins and used for free on Le Chat.
Why does it matter?
Codestral, being only 22B in size and faster than GPT-4o, has massive implications. It is code-centric, runs locally, includes specific languages like Swift and Fortran, and is open for research/testing purposes—all of which make a powerful AI coding tool more widely available.
Source: https://mistral.ai/news/codestral
OpenAI licenses content from Vox Media and The Atlantic
OpenAI has formed content and product partnerships with Vox Media and The Atlantic. OpenAI will license content from these media powerhouses for inclusion in the chatbot’s responses.
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In turn, The Atlantic’s product team will have privileged access to OpenAI tech, give feedback, and share use cases to shape and improve future news experiences in ChatGPT and other OpenAI products. Vox and OpenAI will also collaborate using OpenAI’s technology to develop innovative products for Vox Media’s consumers and advertising partners.
Why does it matter?
There’s a growing list of publishers and platforms that are allowing OpenAI to access its valuable content in mutually beneficial partnerships. It could help OpenAI avoid further legal disputes (like the ongoing lawsuit with The New York Times over copyright infringement) and get quality data to train its LLMs and multimedia models.
Source: https://venturebeat.com/ai/openai-partners-with-the-atlantic-and-the-verge-publisher-vox-media
Google infuses Chromebook Plus with powerful AI features
Google’s Chromebook Plus has new built-in Google AI and gaming features, Help me write, Chat with Gemini, Magic Editor, and more.
- “Help me write” allows users to get AI-generated text suggestions, tone changes, rewriting, and more right within their writing apps on the Chromebook.
- Generative AI wallpaper and video call backgrounds are built into the OS for customization, no matter what video conferencing app you’re using.
- Magic Editor on Google Photos for laptops exclusively on Chromebook Plus will reimagine your photos with a few easy clicks.
- Chat with Gemini on the home screen helps plan, write, learn, and more.
Chromebook Plus laptops are starting at $350 USD. Google is also launching new features that integrate more of Google across all Chromebooks to help users work better and get things done faster.
Why does it matter?
It indicates that the next wave of computers will come equipped with advanced AI capabilities. Such widespread availability of AI can improve productivity and enhance user experience while making AI a standard part of everyday life.
Source: https://blog.google/products/chromebooks/chromebook-plus-google
Microsoft is worried about OpenAI’s deal with Apple
- Microsoft is reportedly worried about Apple collaborating with OpenAI to integrate AI technology into upcoming versions of iOS and macOS, potentially impacting Microsoft’s services and Azure cloud platform.
Microsoft has invested billions in OpenAI, securing an exclusive license for GPT-4 and other models, and uses its Azure cloud as the primary platform for OpenAI’s large language model development.
- OpenAI CEO Sam Altman recently met with Microsoft CEO Satya Nadella to discuss the concerns, as Microsoft aims to maintain its competitive edge given Apple’s vast user base and plans for new AI-powered features.
- Source: https://www.thurrott.com/a-i/303269/apple-partnering-with-openai-is-raising-concerns-at-microsoft
Mistral announces Codestral, a code-generation LLM it says outperforms all others
- Mistral introduces Codestral, a 22B parameter AI code assistant trained on more than 80 programming languages, including Swift and Python, designed to help developers write and interact with code effectively.
- Codestral offers a larger 32K context window and performs exceptionally well in the RepoBench evaluation for long-range code generation, outpacing existing models in various benchmarks and languages.
- Available for free via Mistral’s conversational AI platform Le Chat and through an API, Codestral is integrated with popular developer tools and licensed under the Mistral AI Non-Production License, restricting its use to research and testing only.
- Source: https://www.maginative.com/article/mistral-unveils-codestral-an-ai-code-assistant-trained-on-80-programming-languages/
OpenAI’s news deals continue, with Vox and the Atlantic signing on
- The Atlantic and Vox Media have entered into agreements with OpenAI, allowing the AI company to scrape and use their content in exchange for citations and links back to their original sources.
- The Atlantic will serve as a “premium news source” for OpenAI, while also launching an experimental section called Atlantic Labs to showcase new journalism-related products and features.
- Vox Media will integrate OpenAI data into its internal operations and public-facing tools, enhancing content such as the Strategist Gift Scout tool and their in-house advertising platform for better-targeted ads.
- Source: https://www.engadget.com/the-atlantic-and-vox-media-made-their-own-deal-with-the-ai-devil-161017636.html?
What Else Is Happening in AI on May 30th 2024
SambaNova sets new Llama 3 speed record with 1,000 tokens per second
The feat was accomplished using their SN40L chip, an RDU, and the Samba-1 model, a 1-trillion parameter model also known as Samba-CoE. Such Gen AI performance speed can potentially lead to significant business benefits, such as faster response times, better hardware utilization, and lower costs. (https://venturebeat.com/ai/sambanova-breaks-llama-3-speed-record-with-1000-tokens-per-second)
Apple will process data from AI applications in a virtual black box
Apple is set to introduce Apple Chips in Data Centers (ACDC). It involves processing AI data within a virtual black box, preventing employee access to ensure utmost privacy. Apple gains greater control over system design and develops more secure AI platforms by using its custom chipsets for servers and devices. (https://in.mashable.com/tech/76158/apple-plans-to-protect-user-data-by-putting-it-into-virtual-black-box-report)
SAP teams up with Amazon Bedrock for enhanced Gen AI
The collaboration simplifies AI model deployment and ensures compliance with regulatory standards within SAP’s BTP. With features like multitenancy and seamless integration with SAP applications, the integration supports tasks such as model training, inference, and deployment. (https://venturebeat.com/ai/sap-adds-amazon-bedrock-into-ai-core-streamlining-generative-ai-use-for-regulated-firms)
ChatGPT free tier now offers premium features
Free ChatGPT users can access several advanced features previously reserved for paid subscribers, such as custom GPTs, data analytics, chart creation, vision capabilities, and Memory. However, they can’t create custom GPTs of their own. (https://www.theverge.com/2024/5/29/24167436/chatgpt-4o-custom-gpts-free)
ARM’s new chip designs and software for AI on smartphones
Arm Holdings launched new designs for CPUs and GPUs to help smartphones handle AI tasks better. It will also provide software tools to make it easier for developers to run chatbots and other AI code on Arm chips. https://www.reuters.com/technology/arm-offers-new-designs-software-ai-smartphones-2024-05-29
AI Training: 📊 Unlock ChatGPT’s interactive charts and tables
OpenAI recently introduced a game-changing feature in ChatGPT that lets you analyze, visualize, and interact with your data without the need for complex formulas or coding.
- Head over to ChatGPT and select GPT-4o.
- Upload data by clicking the
button and select specific columns or rows for a clear focus. - Prompt for interactive charts for powerful visualizations (e.g., “Create a pie chart for X distribution”).
- Hover over the different sections to see the exact values, change the chart type, and explore the legend for better understanding
🧠 AI RESEARCH: AI brain implant language breakthrough
Researchers at UC San Francisco just developed a brain implant that utilizes AI to help a stroke survivor communicate in both Spanish and English, switching between languages seamlessly via brain activity.
- The bilingual implant was tested on a patient who lost his ability to speak after suffering a stroke at the age of 20.
- An AI-powered decoding system was trained to recognize the patient’s brain activity patterns when articulating words in both languages.
- The system determined the patient’s intended language with 88% accuracy and the correct sentence 75% of the time.
- The implant allows the patient to participate in bilingual conversations and switch between languages, despite not learning English until after his stroke.
This research is another example of AI’s increasing ability to interpret our brainwaves — potentially unlocking an endless supply of new learnings, treatments, and technology. It’s also yet another massive leap for unlocking communication for stroke victims while breaking language barriers in the process.
New AI Job Opportunities on May 30th 2024 |
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A Daily chronicle of AI Innovations May 29th 2024:
Google faces major search algorithm leak
Former OpenAI board member explains why they fired Sam Altman
Anthropic recruits ex-OpenAI safety chief to lead new ‘Superalignment’ team
OpenAI forms an AI safety committee
All ChatGPT Free users can now use browse, vision, data analysis, file uploads, and GPTs. Google faces major search algorithm leak
- A leak involving 2,500 pages of internal documentation from Google has surfaced, offering a detailed and unprecedented look into the inner workings of its search algorithm, which is one of the most influential systems on the internet.
- The leaked documents suggest discrepancies between Google’s public statements and its internal practices, specifically highlighting the use of Chrome data and the importance of author bylines in search rankings, contrary to what Google has previously disclosed.
- Despite multiple requests for comment, Google has not confirmed the authenticity of the leaked documents, which has led to increased scrutiny and calls for greater transparency.
- Source: https://www.theverge.com/2024/5/28/24166177/google-search-ranking-algorithm-leak-documents-link-seoGoogle
Former OpenAI board member explains why they fired Sam Altman
- Former board member Helen Toner revealed on a podcast that the board lost trust in Altman due to his secret ownership of the OpenAI Startup Fund, providing inaccurate safety information, and personal retaliation against her.
- Toner explained that after two executives reported a toxic atmosphere and psychological abuse by Altman, the board decided to act, citing the launch of ChatGPT without prior board knowledge, learning about it only through Twitter, as an example of their lack of oversight.
- She believes pressure to reinstate Altman stemmed from limited options presented to employees, fear of retaliation, and Altman’s troubled history with previous jobs
- Shttps://www.theverge.com/2024/5/28/24166713/openai-helen-toner-explains-why-sam-altman-was-fired
Anthropic recruits ex-OpenAI safety chief to lead new ‘Superalignment’ team
- Jan Leike, a prominent AI researcher who recently resigned from OpenAI, has joined Anthropic to lead a new “superalignment” team focused on AI safety and security.
- Leike’s team will work on scalable oversight, weak-to-strong generalization, and automated alignment research, reporting directly to Chief Science Officer Jared Kaplan.
- Anthropic aims to distinguish itself as more safety-focused than OpenAI, with Leike’s new team echoing the mission of OpenAI’s dissolved Superalignment team.
- Source: https://www.neowin.net/news/former-openai-safety-head-jan-leike-joins-rival-firm-anthropic/
OpenAI forms an AI safety committee
OpenAI Board formed a Safety and Security Committee led by directors Bret Taylor, Adam D’Angelo, Nicole Seligman, and Sam Altman. Over the next 90 days, the committee will evaluate and further develop OpenAI’s processes and safeguards. Then, the committee will share its recommendations with the full Board.
Following the full Board’s review, OpenAI will publicly share an update on adopted recommendations. OpenAI has recently begun training its next frontier model, and the resulting systems from the Safety and Security team’s recommendation may bring it safely to the next level of capabilities on its path to AGI.
Why does it matter?
OpenAI has drawn a lot of criticism for for putting AI safety on the backseat after its super alignment team was dissolved a few days ago. However, it seems that OpenAI is trying to rise to the occasion and address these concerns while developing AI more responsibly.
Source: https://openai.com/index/openai-board-forms-safety-and-security-committee
👀 OpenAI begins training the next model
OpenAI just announced the formation of a new Safety and Security Committee to oversee the development of its next frontier AI model, which the company also said it has recently started training.
- The new committee is led by CEO Sam Altman and includes board members Bret Taylor, Adam D’Angelo, and Nicole Seligman.
- The group will provide evaluation of safety and security processes over the next 90 days, with plans to share adopted recommendations publicly.
- OpenAI said the new model will ‘bring us to the next level of capabilities on our path to AGI’.
Source: https://openai.com/index/openai-board-forms-safety-and-security-committee
💻 Google Chromebooks get AI infusion
Google just unveiled a suite of new AI-powered features for its $350 Chromebook Plus laptops, aimed at enhancing productivity, creativity, and collaboration for users.
- Google’s Gemini assistant is integrated directly into the Chromebook Plus home screen, allowing quick access to AI tools.
- The “Help Me Write” feature brings AI capabilities to all text entry fields, providing suggestions, changing tone, and rewriting text.
- Google Photos’ Magic Editor gives users advanced AI-powered image editing capabilities directly within the Chromebook Plus.
- Generative features like AI wallpapers and video call backgrounds also offer users new customization options.
- Source: https://blog.google/products/chromebooks/chromebook-plus-google
All ChatGPT Free users can now use browse, vision, data analysis, file uploads, and GPTs.
New AI Job Opportunities May 29th 2024:
Parloa – CX Design Consultant: https://jobs.therundown.ai/jobs/61082222-cx-design-consultant-f-m-d-*
DeepL – Engineering Manager: https://jobs.therundown.ai/jobs/61074472-engineering-manager-%7C-core-platform-backend- Abridge – Assistant General Counsel: https://jobs.therundown.ai/jobs/61108336-assistant-general-counsel
- Writer – Enterprise Business Development Rep: https://jobs.therundown.ai/jobs/61154629-enterprise-business-development-rep
What Else Is Happening in AI on May 29th 2024
PwC set to become the first reseller of ChatGPT Enterprise
Companies no longer need to buy a ChatGPT Enterprise license directly from OpenAI. They can purchase the Gen AI service through PwC. Until today, businesses could only subscribe to the enterprise option by contacting an OpenAI salesperson. This also allows PwC to upsell its services to those who want to use ChatGPT to optimize their workloads. (https://venturebeat.com/ai/pwc-strikes-openai-deal-to-become-the-first-reseller-of-chatgpt-enterprise)
Microsoft brings Copilot AI chatbot to Telegram users
Microsoft has added an official Copilot bot within the messaging app Telegram, which lets users search, ask questions, and converse with the AI chatbot. Copilot for Telegram is currently in beta but is free for Telegram users on mobile or desktop. (https://www.theverge.com/2024/5/28/24166451/telegram-copilot-microsoft-ai-chatbot)
Opera is integrating Google’s Gemini models into its Aria browser AI
Opera announced a collaboration with Google Cloud to integrate Gemini models into its Aria browser AI. Aria is powered by Opera’s multi-LLM Composer AI engine, allowing it to curate the best user experiences based on their requirements. Thanks to this integration, Opera can now provide its users with the most current information at high performance. (https://press.opera.com/2024/05/28/opera-google-cloud-aria-gemini/)
GitHub Accelerator program empowers the open-source AI revolution
GitHub launched the 2024 Accelerator program which provides funding, mentorship, and community-building. Standout participants include Unsloth, which improves AI model efficiency, and Formbricks, which simplifies user feedback. Through this, GitHub accelerates open-source innovation and democratizes access to new tech. (https://venturebeat.com/ai/github-accelerator-fuels-open-source-ai-revolution-empowering-startups-to-democratize-access)
Elon Musk vs. Yaan LeCun on X highlights differences in AI research approach
Elon Musk and Yann LeCun, two prominent figures in AI, got into a heated debate on X over the weekend. LeCun criticized Musk’s management style at his new AI startup xAI, while Musk questioned LeCun’s recent scientific contributions. LeCun emphasizes the importance of open scientific publication, while Musk focuses on ambitious goals like artificial general intelligence (AGI). (https://venturebeat.com/ai/elon-musk-and-yann-lecuns-social-media-feud-highlights-key-differences-in-approach-to-ai-research-and-hype/))
A Daily chronicle of AI Innovations May 28th 2024:
Google AI Overview gives dangerous and wrong answers
GPT-4 is a better financial analysts than humans
Canva redesigned it’s platform with new AI features
The EU’s data protection task force has released preliminary findings on ChatGPT’s GDPR compliance
French startup AniML has launched Doly, an iPhone app simplifying 3D product video creation
Iyo, an Alphabet X spinout, will release the Iyo One, a pair of gen AI earbuds
Mastercard integrates AI to catch compromised cards faster
Peter Thiel, former PayPal CEO, believes AI will worse for math minds more than writers
Google AI Overview gives dangerous and wrong answers
Google’s AI Overviews feature, which generates AI-powered responses to user queries, has been providing incorrect and sometimes bizarre answers. From suggesting glue on pizza, staring at sun for health benefits to claiming that former US President Barack Obama is Muslim, the feature has left users questioning the reliability of AI-generated search results.
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While Google maintains that these mistakes result from uncommon queries and are being used to refine the product, the technology’s widespread deployment has highlighted the challenges and risks of integrating AI into search engines.
Why does this matter?
Other companies, such as OpenAI, Meta, and Perplexity, have also experienced issues with AI hallucinations and mistakes. Companies must prioritize the development of robust safeguards and rigorous testing to ensure that AI-powered search results meet the high standards users expect from traditional search engines.
Source: https://techcrunch.com/2024/05/26/what-are-googles-ai-overviews-good-for/
GPT-4 is a better financial analysts than humans
In a groundbreaking study, researchers at the University of Chicago have discovered that GPT-4, a large language model, can analyze financial statements and predict future earnings direction with remarkable accuracy. Even without narrative context, GPT-4 outperforms human financial analysts and achieves prediction accuracy on par with state-of-the-art machine learning models.
The AI model’s success is not simply a result of its training memory but rather its ability to generate valuable narrative insights about a company’s future performance. Notably, trading strategies based on GPT-4’s predictions yield higher returns and risk-adjusted performance than those based on other models, especially for small companies.
Why does this matter?
This study shows that AI is more than just a support tool in financial decision-making. It can also be central to financial analysis and enable non-experts to make informed decisions, which may change how financial markets operate.
Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4835311
Canva redesigned it’s platform with new AI features
Canva is launching a redesigned platform with new AI features and tools for professional teams and workspaces. The company has introduced Canva Enterprise, a specialized tier offering more control over collaboration, brand management, and security for larger organizations.
Ad Tech integrations with Google, Meta, and Amazon streamline the ad creation process within Canva. Data autofill automates the creation of data-driven designs by integrating with sources like Salesforce and MLS.
New features include AI style matching for brands, customizable folder displays, and the ability to “star” designs and templates for easier access. Canva Docs now has a suggestion mode for editors and colorful highlight blocks for text emphasis. New “Magic Studio” AI tools include:
- Automatic clip highlighting.
- Background noise reduction for video editing.
- A text-to-graphic image generator.
Why does it matter?
Canva aims to reduce organizational complexity and “app sprawl” by offering a comprehensive creative platform. This update addresses the growing need for extensive, user-friendly solutions that can replace multiple design, AI, and workflow apps.
Source: https://www.canva.com/newsroom/news/canva-for-work
What Else Is Happening in AI on May 28th 2024
The EU’s data protection task force has released preliminary findings on ChatGPT’s GDPR compliance
While the group remains undecided on key legal issues, it suggested that “adequate safeguards” and “precise collection criteria” could help OpenAI meet the requirements. However, the AI giant’s move to Ireland may benefit from the country’s business-friendly approach to GDPR enforcement. (Link: https://techcrunch.com/2024/05/27/eus-chatgpt-taskforce-offers-first-look-at-detangling-the-ai-chatbots-privacy-compliance)
French startup AniML has launched Doly, an iPhone app simplifying 3D product video creation
Doly uses AI to estimate the 3D shape of an object from regular 2D photos, and then it applies a technique called Gaussian splatting to create a high-quality 3D model suitable for use in product videos. Users can capture a 3D model, choose a template from the library, and integrate their object into a 3D scene. (Link: https://techcrunch.com/2024/05/27/doly-lets-you-generate-3d-product-videos-from-your-phone)
Iyo, an Alphabet X spinout, will release the Iyo One, a pair of gen AI earbuds
The Iyo One will be released this winter, starting at $599, and aims to succeed, whereas competitors like Humane’s Ai Pin and Rabbit’s R1 have struggled. It integrates LLM-based models for a more sophisticated AI experience. Iyo’s founder, Jason Rugolo, believes the Iyo One will provide value through its sound isolation, comfort, and music quality, in addition to its AI features.(Link: https://techcrunch.com/2024/05/27/iyo-thinks-its-gen-ai-earbuds-can-succeed-where-humane-and-rabbit-stumbled)
Mastercard integrates AI to catch compromised cards faster
Mastercard is rolling out an AI update to its fraud-prediction technology to identify compromised credit and debit cards before criminals use them. By analyzing patterns and contextual data, the AI can proactively flag stolen cards, allowing banks to replace them and protect customers from fraudulent transactions. (https://apnews.com/article/mastercard-visa-ai-credit-card-fraud-detection-0c348818087a57b13bfac66c761e03b4)
Peter Thiel, former PayPal CEO, believes AI will worse for math minds more than writers
Thiel states that Silicon Valley in the 21st century is too biased towards math people. Thiel explained that the exact reason for ‘AI being not able to overtake human creativity,’ is not clear bets on getting worse.”He concludes that AI is not yet good at math, although its capabilities are increasing, as shown by ChatGPT scoring 96% in a UK A-level math paper with the Wolfram plug-in. (Link: https://www.financialexpress.com/life/technology-former-paypal-ceo-says-ai-may-be-good-at-maths-but-it-cant-be-a-great-writernbsp-3503476)
AI researcher Kai-Fu Lee doubled down on his 2017 prediction that AI would displace 50% of jobs by 2027, saying white collar jobs will be eliminated faster than blue collar work.
New AI Job Opportunities May 28th 2024
- Luma AI – Senior Machine Learning Engineer: https://jobs.therundown.ai/jobs/61001044-senior-machine-learning-engineer
- xAI – Product Data Engineer: https://jobs.therundown.ai/jobs/61057653-product-data-engineer
Databricks – Head of Solutions Architecture (Data & AI): https://jobs.therundown.ai/jobs/61030403-head-of-solutions-architecture-data-ai- Captions – Software Engineer – Backend: https://jobs.therundown.ai/jobs/60404530-software-engineer-backend-3+-years-of-experience
A Daily chronicle of AI Innovations May 27th 2024:
Elon Musk’s xAI raises $6B to build ‘Gigafactory of Compute’
Apple bets that its giant user base will help it win in AI
China invests $47 billion in largest ever chip fund
GPT-4 surpasses humans in financial analysis
Microsoft’s Recall AI: Efficiency upgrade or privacy nightmare?
AI-powered headphones let you listen to one person in a crowd
xAI’s supercomputer that’s 4x larger than existing GPU clusters
Elon Musk’s xAI raises $6B to build ‘Gigafactory of Compute’
- Elon Musk’s xAI has successfully raised $6 billion in a Series B funding round to construct a supercomputer known as the “Gigafactory of Compute,” which will be powered by 100,000 Nvidia H100 GPUs, making it at least four times larger than the largest existing GPU clusters.
- This funding will enable xAI to advance its product offerings, develop cutting-edge infrastructure, and accelerate research and development, with investors including Andreessen Horowitz, Sequoia Capital, and Saudi Prince Alwaleed bin Talal.
- The supercomputer will support the next iteration of xAI’s chatbot, as xAI aims to create advanced AI systems that are truthful, competent, and maximally beneficial for humanity, continuing Musk’s vision of a “maximum truth-seeking AI” called TruthGPT.
- Source
Apple bets that its giant user base will help it win in AI
- Apple is betting on its vast user base to give it an edge in the AI market, despite its first set of AI features not being as advanced as those from other competitors like Microsoft, Google, and OpenAI.
- The company plans to introduce AI tools integrated into its core apps and operating systems, focusing on practical, everyday uses for consumers, with much of the AI processing done on-device and more intensive tasks handled via the cloud.
- Apple’s collaboration with OpenAI and potential agreements with Google indicate it is relying on partnerships to compete in the AI space while its own AI developments are still maturing, leveraging its extensive user base to rapidly scale the use of new AI features.
- Source
China invests $47 billion in largest ever chip fund
- China has invested more than $47 billion into its largest-ever chip investment fund to pursue self-sufficiency in semiconductor manufacturing.
- This significant investment reflects China’s broader strategy to develop homegrown chipmakers amid rising technological competition with the United States.
- The fund’s third phase, supported by China’s finance ministry and state-owned banks, marks the largest investment of its kind, surpassing the combined total of the previous two phases.
- Source
GPT-4 surpasses humans in financial analysis
- New research from the University of Chicago shows that GPT-4 can analyze financial statements more accurately than humans, achieving a 60% accuracy rate compared to human analysts’ 53-57% range.
- The study indicates significant implications for the future of financial analysis, highlighting GPT-4’s versatility in performing tasks usually reserved for specialized tools and stating its performance is on par with leading machine learning models.
- While GPT-4 excels in quantitative analysis, human analysts provide valuable contextual insights, suggesting a complementary relationship between AI and humans for achieving optimal financial analysis results.
- Source
Microsoft’s Recall AI: Efficiency upgrade or privacy nightmare?
Microsoft has recently released Recall, a controversial AI-powered tool that logs everything you see and do on your computer, including app usage, live meeting communications, websites visited, and more. By simply performing a “Recall” action, users can retrieve any information they’ve interacted with on their device, presented in the context of a specific time period.
Microsoft assures users that the Recall index remains local and private on-device. Users can pause, stop, or delete captured content and can choose to exclude specific apps or websites. And Recall automatically excludes InPrivate web browsing sessions in Microsoft Edge and DRM-protected content.
Currently, Recall is exclusively compatible with new “Copilot Plus PCs” equipped with Qualcomm’s Snapdragon X Elite chips, which feature the necessary neural processing unit (NPU).
Why does this matter?
The Recall feature has sparked concern among cybersecurity experts and government authorities due to its extensive data collection and privacy risks. Recall continuously captures screenshots of users’ PC activities and creates a searchable index using AI, which may accidentally expose sensitive information to unauthorized users.
AI-powered headphones let you listen to one person in a crowd
Researchers at the University of Washington have developed a groundbreaking artificial intelligence system called “Target Speech Hearing” that allows headphone wearers to isolate and listen to a single speaker in a noisy environment. By simply looking at the desired speaker for three to five seconds, the user can “enroll” them, and the system will cancel out all other sounds, playing only the enrolled speaker’s voice in real-time, even as the listener moves around.
The proof-of-concept device, which uses off-the-shelf headphones fitted with microphones and an on-board embedded computer, builds upon the team’s previous “semantic hearing” research. The system’s ability to focus on the enrolled voice improves as the speaker continues talking, providing more training data. While currently limited to enrolling one speaker at a time and requiring a clear line of sight, the researchers are working to expand the system to earbuds and hearing aids in the future.
Why does this matter?
The Target Speech Hearing system may have applications in various settings, like business meetings, conferences, noisy public spaces, or for people with hearing difficulties. While the current system is a proof-of-concept, the researchers’ plan to expand it to earbuds and hearing aids indicates the potential for commercialization, which could lead to a new-age consumer product that enhances our sensory experiences in previously unimaginable ways.
xAI’s supercomputer that’s 4x larger than existing GPU clusters
Elon Musk has recently disclosed plans to build a groundbreaking supercomputer to power the next iteration of xAI’s chatbot, Grok. According to a presentation made to investors in May, as reported by The Information, Musk aims to have this computing system operational by the fall of 2025. The ambitious project may involve a collaboration between xAI and Oracle to develop this massive computing infrastructure.
The proposed supercomputer will consist of interconnected clusters of Nvidia’s state-of-the-art H100 graphics processing units (GPUs). Musk revealed that upon completion, the scale of this system will surpass the largest existing GPU clusters by at least fourfold!
Why does it matter?
As major tech giants and startups compete for dominance in the AI space, Musk’s proposed “gigafactory of compute” could potentially set new benchmarks for AI computing power. Also, Musk’s financial resources and personal commitment to the project position him as a formidable challenger to established AI powerhouses like OpenAI, Google, and Meta.
New AI Jobs Opportunities on May 27th 2024
Snorkel – Machine Learning Customer Engineer
OctoAI – Senior MLSys Engineer- OpenAI – Technical Program Manager, Trustworthy AI
- C3 AI – Senior Revenue Accountant
What Else Is Happening in AI on May 27th 2024
YouTube Music introduces hum-to-search AI feature
YouTube Music has introduced a new AI feature that lets users search for songs by humming or singing a melody. This feature, similar to the “Hum to Search” functionality in Google Search, uses machine learning to match the user’s audio input to the original song recording. The feature is currently available in its Android app version 7.02 and is being gradually rolled out to users. (Link)
iOS 18 may introduce AI-powered custom emoji tool and smart recaps
Apple is reportedly working on a gen AI-powered custom emoji tool for iOS 18 that lets users create personalized emojis. They’re also developing a smart recaps feature that will provide users with summaries of missed notifications, messages, and documents. (Link)
Suno.ai’s music generator now offers 4-minute songs
AI music model Suno.ai has released its version 3.5 which lets users create songs up to four minutes long with improved structure. The update also introduces a sound-to-song feature, combining audio and text prompts to generate music. (Link)
Meta to use EU user data for AI training, offers opt-out
Meta is notifying Facebook and Instagram users in Europe about changes to its privacy policy, effective June 26, which allows the company to use user data for training AI models under a “legitimate interest” claim. Users can opt out of this data usage, but they must provide an explanation of how it personally affects them, with a reference to the GDPR being sufficient. (Link)
Google launches Gemini AI assistant in Messages app
Google has started rolling out its Gemini AI assistant feature in Google Messages to help users with tasks like drafting messages, brainstorming, event planning, and engaging in conversations. Gemini supports extensions like Workspace, YouTube, and Google Maps, and also lets users provide feedback on responses. (Link)
A Daily chronicle of AI Innovations May 24th 2024: 
Google AI tells users to glue pizza and eat rocks 
OpenAI scraps controversial nondisparagement agreement with employees 
Musk’s xAI nears deal valuing startup at $24B
Cohere releases multilingual AI model, Aya 23 
Arc introduces “Call Arc” for quick voice answers Elon Musk envisions AI era, new work norms, life on Mars 
OpenAI controversy: ‘Sky’ speaks out
Google AI tells users to glue pizza and eat rocks
- Google’s new AI Overviews feature is generating incorrect and sometimes absurd answers, like adding non-toxic glue to pizza as a solution to prevent cheese from falling off.
- The feature has made several other mistakes, such as stating that former US President James Madison graduated from the University of Wisconsin 21 times and claiming that Batman is a cop.
- Google acknowledges these are “isolated examples” and emphasizes the AI is experimental, but the errors highlight significant issues with the current state of AI-generated information.
- Source
OpenAI scraps controversial nondisparagement agreement with employees
- OpenAI will not enforce any previously signed nondisparagement agreements with former employees and will remove such language from its exit paperwork, as stated to Bloomberg.
- Previously, employees had to choose between speaking against the company or keeping their vested equity, potentially losing millions if they refused to sign the agreement.
- Sam Altman, OpenAI’s CEO, expressed embarrassment over the existence of the clause and pledged to rectify the paperwork, while Chief Strategy Officer Jason Kwon apologized for the distress caused.
- Source
Musk’s xAI nears deal valuing startup at $24B
- Elon Musk’s AI startup, xAI, is expected to complete a funding round in June that could value the company at over $24 billion.
- The company originally aimed to raise around $6 billion earlier this month but is now seeking to gather as much as $6.5 billion, with final deal closure still pending.
- xAI has been marketed to Silicon Valley investors using a pitch highlighting Musk’s success with Tesla and SpaceX, and plans to leverage data from his social platform X (formerly Twitter) to build its AI chatbot, Grok.
- Source
Cohere releases multilingual AI model, Aya 23
Cohere for AI (C4AI), the non-profit research group, has launched open-weight Aya 23, a new family of multilingual language models. Available in 8B and 35B parameter variants, Aya 23 supports 23 languages, including Arabic, Chinese, English, French, German, Hindi, Japanese, Spanish, and more.
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Here’s a quick breakdown:
- Aya23 focuses on depth over breadth, meaning it performs better in fewer languages than their previous model, Aya 101 (which covered 101 languages).
- The 8B parameter model balances efficiency and accessibility, while an advanced 35B parameter delivers higher performance at the cost of increased computational demand.
- Aya 23 outperforms existing models like Google’s Gemma on various tasks across the languages it covers.
- Researchers can access and fine-tune Aya 23 for their needs, with the model available for free trial on Cohere Playground.
Why does this matter?
Most AI models struggle with languages besides English. The development of multilingual models can serve a much wider audience, bridging the language divide and making AI more accessible and inclusive for users around the world.
Arc introduces “Call Arc” for quick voice answers
Arc Search, an AI-powered search app, just launched a new feature called Call Arc. This lets users ask questions by holding their phone to their ear, mimicking a phone call. It provides instant voice answers, similar to voice search, but designed to be more convenient and quicker.
The app is designed to answer short, immediate questions. For example, you can ask it how long it takes to cook spaghetti or why to reserve pasta water, all while making dinner.
Call Arc complements Arc Search’s existing “Browse for me” function that generates webpages with information based on your search query.
Why does this matter?
As AI continues to simplify our lives, innovative features like Call Arc could provide a new approach to voice search, making it intuitive and accessible for users on the go. This could also lead to more nuanced search results and a more engaging experience compared to simple keyword searches.
Elon Musk envisions AI era, new work norms, life on Mars
In a Q&A session at VivaTech 2024, Elon Musk discussed diverse topics, from plans for Mars colonization to the role of AI in society.
Source: Viva Technology
Musk emphasized SpaceX’s goal of making life multi-planetary, with Mars as a key focus. He discussed the importance of reusable spacecraft and highlighted the necessity of space exploration for humanity’s long-term survival.
Regarding AI, Musk stressed the importance of honesty in AI development, criticizing approaches that prioritize political correctness over truthfulness. He also touched on AI’s potential to revolutionize education, though he expressed concerns about the impact of social media on children.
Musk envisioned a future where automation leads to a job-free society, with a universal basic income ensuring people’s needs are met.
Why does this matter?
Elon Musk’s bold predictions about Mars, the Moon, and a job-free future driven by AI are both exciting and thought-provoking. While his vision for Mars could redefine human civilization, his stance on AI emphasizes the need for integrity in technology.
It’s crucial that we engage in open and honest dialogue about AI’s implications for society.
OpenAI controversy: ‘Sky’ speaks out
There has been a wave of updates on several drama-filled OpenAI topics, including leaked documents related to the company’s controversial NDA clauses, new info surrounding the ‘Sky’ voice model, another resignation, and more.
- The voice actress behind ChatGPT’s ‘Sky’ voice has come forward, saying she was hired months before Altman contacted Scarlett Johansson.
- Leaked documents with Sam Altman’s signature contradict claims he was unaware of NDA clauses threatening to claw back former employees’ equity.
- OpenAI policy researcher Gretchen Kreuger resigned, with a post citing safety concerns about the company.
- Teasers are coming out of presentations at the VivaTech conference, showing a potential move away from the ‘GPT-5’ name and a new Sora demo.
New AI Jobs Opportunities on May 24th 2024:
- Kumo – ML Solutions Architect
Palantir – Proposal Writer, Internship
Lambda – Linux Support Engineer
Anthropic – Enterprise Account Executive
What Else Is Happening in AI on May 24th 2024
YouTube launches AI-powered music creation tool
YouTube has introduced Dream Track, an AI-powered tool designed for creating music within YouTube Shorts. This experimental feature allows users to generate musical pieces based on input commands. While it is an innovative addition, it has sparked a debate over AI’s impact on the authenticity of creative work. (Link)
Ideogram launches Ideogram Tile, an AI-powered pattern generator
Ideogram has launched Ideogram Tile, a feature that creates seamless, repeating patterns from text prompts. This tool empowers designers to craft unique wallpapers, fabrics, and textures effortlessly. Following a $80 million funding round, Ideogram continues to lead in AI-driven design innovation, blending creativity with advanced technology. (Link)
Spotify tests Spanish-speaking AI DJ, “DJ Livi”
Spotify is testing a Spanish-speaking iteration of its AI DJ, named “DJ Livi.” The app code suggests a language switch option for this new feature. Although Spotify has not confirmed launch plans, this move could cater to Spanish-speaking audiences globally and in the U.S., marking a significant expansion in AI language support. (Link)
Amazon plans paid subscriptions for Alexa AI features
Amazon is reportedly gearing up to launch paid subscription plans for select Alexa AI features, aiming to enhance conversational capabilities. This move seeks to compete with advanced AI chatbots like Google’s Gemini and OpenAI’s ChatGPT. Notably, the subscription won’t be bundled with Amazon Prime, offering a standalone service. (Link)
Inworld AI launches AI-driven voice generator
Inworld AI, known for its innovative AI-driven virtual characters, unveils Inworld Voice, a dynamic voice generator for game developers. Boasting 58 diverse voices powered by advanced machine learning models, it promises expressive, cost-efficient, and high-quality voice experiences. (Link)
A Daily chronicle of AI Innovations May 23rd 2024: Anthropic uncovers millions of concepts in Claude Sonnet’s AI model Truecaller’s AI assistant gets a voice upgrade, thanks to Microsoft TikTok makes ad creation easy with AI! 🤯 Scientists plan a head transplant system 
Chameleon: Meta’s new multimodal LLM OpenAI didn’t copy Scarlett Johansson’s voice, records show Nvidia shows no signs of AI slowdown Global outages hit Microsoft Bing, DuckDuckGo, ChatGPT Search and Copilot OpenAI signs $250M landmark deal with News Corp Apple may develop foldable iPhone with self-healing screen
Truecaller’s AI assistant gets a voice upgrade, thanks to Microsoft 
Apple may develop foldable iPhone with self-healing screen Anthropic uncovers millions of concepts in Claude Sonnet’s AI model
Anthropic has made a breakthrough in understanding the inner workings of their AI model, Claude Sonnet, by identifying how millions of concepts are represented within it.
Using a technique called “dictionary learning,” they were able to map out these concepts, providing the first-ever detailed look inside a modern, production-grade large language model.
Key findings:
- Features linked to concepts: These concepts are linked to features, which are groups of neurons that activate together in response to specific ideas.
- Features can be manipulated: By manipulating these features, the researchers were able to influence Claude’s outputs, demonstrating a causal link between features and behavior.
- Features reveal potential risks: The research identified features corresponding to biases, potential misuse of the model, and even sycophantic behavior.
Why does this matter?
Anthropic’s research is a big step toward making AI models more transparent and trustworthy. By understanding how these models work, researchers can spot and reduce harmful biases, prevent misuse, and steer AI systems toward better outcomes, leading to safer and more reliable AI applications.
Truecaller’s AI assistant gets a voice upgrade, thanks to Microsoft
Truecaller is partnering with Microsoft to let users create an AI version of their own voice for their AI Assistant to use when answering calls.
This feature, currently limited to users with access to Truecaller’s AI Assistant, requires them to record a voice clip that Microsoft’s Azure AI Speech technology will use to create a personalized AI voice.
Truecaller says this will allow for a more personalized experience and highlights the potential of AI in communication. However, it’s important to note that Microsoft limits the use of personal voice for specific purposes and requires users to obtain consent before recording someone’s voice.
Why does this matter?
Truecaller’s AI voice assistant offers a glimpse into the future of call management, promising a more personalized experience. However, it must ensure transparency and address performance comparisons with automated voicemail systems.
The idea of speaking with an AI while calling someone may seem unusual, and it remains to be seen how well this feature will be received.
TikTok makes ad creation easy with gen AI!
TikTok has introduced “TikTok Symphony,” a suite of generative AI tools designed to help marketers create and optimize ad campaigns. The suite includes an AI video generator called “Symphony Creative Studio,” which can produce TikTok-ready videos with minimal input from advertisers, and an AI assistant named “Symphony Assistant” that helps refine scripts and provides best practice recommendations.
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The company has also introduced “TikTok One,” a centralized hub for marketers to access creators, agency partners, and creative tools. Additionally, TikTok is leveraging predictive AI to drive more sales for advertisers by determining the best creative assets and target audiences based on budgets and goals.
Why does this matter?
TikTok’s integration of generative AI into its ads business signifies the growing importance of AI in digital marketing. This shift could make ad campaigns more efficient and effective, opening new opportunities for tech companies and startups.
Chameleon: Meta’s new multimodal LLM
Meta’s AI research lab just introduced Chameleon, a new family of ‘early-fusion token-based’ AI models that can both understand and generate text and images in any order.
- Unlike other models that process image and text separately and then combine them later, Chameleon works with linked sequences of both.
- Chameleon outperformed all rival models on image captioning and visual questions, while still matching performance on text-only.
- The 34B parameter Chameleon also matched or outperformed top models like Gemini Pro and GPT-4V on tests of long-form mixed-modal generations.
Chameleon shows the potential for a different type of architecture for multimodal AI models, with its early-fusion approach enabling more seamless reasoning and generation across modalities and setting new performance bars.
New AI Jobs Opportunity on May 23rd 2024
- Impel AI – Test Automation Engineer
- Grammarly – Researcher, Strategic Research
Tempus – Senior Cloud Security Engineer- UiPath – Senior Product Manager
What Else Is Happening in AI on May 23rd 2024
OpenAI partners with News Corp to enhance ChatGPT
OpenAI has announced a multi-year partnership with media giant News Corp to enhance ChatGPT with its high-quality journalism. The collaboration aims to provide reliable information to users, with News Corp’s mastheads displayed in response to user queries. OpenAI CEO Sam Altman called it a “proud moment for journalism and technology.” (Link)
AWS and Hugging Face team up on AI model development
AWS has partnered with AI startup Hugging Face to enable developers to run thousands of AI models on Amazon’s custom Inferentia2 chips. The collaboration aims to provide a cost-effective solution for deploying AI models, with AWS aiming to compete in the inference market currently dominated by Nvidia. (Link)
Granola’s introduces AI-powered note-taking app
Granola, a new AI startup, has launched a notepad app that combines user-written notes with AI-generated details from meeting transcripts. The app aims to make note-taking more collaborative and efficient, using OpenAI’s GPT-4 to augment and clean up your notes. (Link)
BrainBridge launches head transplant system using AI and robotics
Neuroscience startup BrainBridge has revealed its groundbreaking head transplant system that aims to provide hope for patients with untreatable conditions.
https://x.com/i/status/1793045981954523464
- The CGI demo proposes a system that uses advanced robotics, AI, and real-time molecular imaging to transfer a patient’s head or face onto a donor body.
- The company hopes to conduct the first surgery within eight years, and is releasing the concept early to attract top scientists.
- A headband with a brain-computer interface (like Neuralink) would help patients communicate and execute tasks during recovery using their minds.
While the mind-blowing (
) system seems highly speculative and more sci-fi than reality — so did Neuralink’s brain chips. While we’re likely a long way from this becoming possible, with the rate of advancement in robotics and AI it’s tough to rule anything out over the next decade.
The procedure uses advanced AI, robotics, and a proprietary adhesive to transplant a patient’s head onto a donor body. While it’s still early, BrainBridge expects to conduct the first surgery within eight years, pending successful feasibility studies. (Link)
Meta establishes AI advisory group
Meta CEO Mark Zuckerberg has created the Meta Advisory Group, consisting of Stripe’s Patrick Collison, Shopify’s Tobi Lütke, and others, to guide the company’s AI and technology advancements. The group will offer insights and recommendations as Meta pushes harder into AI development across various products. (Link)
A Daily chronicle of AI Innovations May 22nd 2024: Microsoft’s first SoTA SLM to be shipped with Windows
Google unveils new AI tools for branding and product marketing Adobe introduces Firefly AI-powered Generative Remove to Lightroom
Microsoft’s first SoTA SLM to be shipped with Windows
Microsoft announced a new small language model called Phi Silica. It has 3.3 billion parameters, which makes it the smallest model in Microsoft’s Phi family of models. Phi Silica is designed specifically for the Neural Processing Units (NPUs) in Microsoft’s new Copilot+ PCs. Despite its small size, Phi Silica can generate 650 tokens per second using only 1.5 Watts of power. This allows the PC’s main processors to be free for other tasks.
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Developers can access Phi Silica through the Windows App SDK and other AI-powered features like OCR, Studio Effects, Live Captions, and Recall User Activity APIs. Microsoft plans to release additional APIs, including Vector Embedding, RAG API, and Text Summarization. These AI-powered PCs will have dedicated AI chips for running LLMs and other AI workloads.
Why does it matter?
As Microsoft continues to invest in developing small language models and integrating AI into its Windows platform, Phi Silica represents a significant step forward in making advanced AI capabilities more accessible to developers and end-users. Also, as major PC manufacturers want to introduce AI-powered laptops this summer, Microsoft might lead the way by introducing CoPilot PC+ and now Phi Silica.
Google unveils new AI tools for branding and product marketing
Google has introduced several new AI-powered features to help retailers and brands better connect with shoppers. First, Google has created a new visual brand profile that will appear in Google Search results. This profile uses information from Google Merchant Center and Google’s Shopping Graph to showcase a brand’s identity, products, and offerings.
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Additionally, Google is expanding its AI-powered tools to help brands create more engaging content and ads. This includes new features in Google’s Product Studio, allowing brands to generate images matching their unique style.
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Google is also launching immersive ad formats powered by generative AI, such as the ability to include short product videos, virtual try-on experiences, and 3D product views directly in search ads. These new AI-driven tools aim to help brands forge stronger, more personalized connections with consumers throughout the shopping journey.
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Why does it matter?
As AI continues advancing, such tools could shape the future of marketing by delivering more personalized, hyper-relevant, and visually compelling experiences that better connect consumers with brands and products.
Adobe introduces Firefly AI-powered Generative Remove to Lightroom
Adobe has added a new AI-powered feature called Generative Remove to its Lightroom photo editing software. Generative Remove uses Adobe’s Firefly generative AI model to allow users to seamlessly remove objects from photos, even if the objects have complex backgrounds. The feature can remove images’ stains, wrinkles, reflections, and more.
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Adobe has been integrating Firefly’s capabilities across its Creative Cloud apps to generate images, apply styles, fill areas, and remove objects through the new Generative Remove tool in Lightroom. It works closely with photographers to continue improving and expanding this object-removal capability. The company also announced a new Lens Blur effect that uses AI to add realistic depth-of-field blur to photos.
Why does it matter?
The Generative Remove feature will make it easier for photographers, designers, and other creatives to edit their images, saving time and effort. Looking ahead, we can expect Adobe and other creative software companies to explore new ways to harness Gen AI to automate tedious tasks, provide intelligent assistance, and enable entirely new creative possibilities.
AI RESEARCH:
Research: Mapping the ‘mind’ of an LLM
Anthropic just published new research that successfully identified and mapped millions of human-interpretable concepts, called “features”, within the neural networks of Claude.
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Why it matters: Despite how fast AI is accelerating, we still don’t have a strong understanding of what’s going on beneath the hood of LLMs. This research is a major step towards making AI more transparent — enabling better understanding, control, and safeguarding of these powerful tools.
New AI Job Opportunities on May 22nd 2024
- Databricks – Architect: Big Data
- Grammarly – Business Development Representative
- Perplexity AI – Backend Software Engineer
- Cohere – Director, Solutions Architect
What Else Is Happening in AI on May 22nd 2024
Elon Musk’s xAI plans to make Grok multimodal
According to public developer documents, Elon Musk’s AI company, xAI, is making progress on adding multimodal inputs to the Grok chatbot. This means soon, users may be able to upload photos to Grok and receive text-based answers. This was first teased in a blog post last month from xAI, which said Grok-1.5V will offer “multimodal models in a number of domains.” (Link)
Microsoft’s new Copilot AI agents to work like virtual employees
Microsoft will soon allow businesses and developers to build AI-powered Copilots that can work like virtual employees and perform tasks automatically. Instead of Copilot sitting idle waiting for queries, it will be able to monitor email inboxes and automate tasks or data entry that employees normally have to do manually. (Link)
Microsoft Edge introduces real-time AI translation and dubbing for YouTube
Microsoft Edge is set to introduce real-time translation and dubbing for videos on platforms like YouTube, LinkedIn, and Coursera. This new AI-powered feature will translate spoken content live, offering dubbing and subtitles. Currently, the feature supports translations from Spanish to English and English to German, Hindi, Italian, Russian, and Spanish. (Link)
WitnessAI builds guardrails for Gen AI models
WitnessAI is developing tools to make Gen AI models safer for businesses. The company’s platform monitors employee interactions and custom AI models, applying policies to reduce risks like data leaks and biased outputs. The platform also offers modules to enforce usage rules and protect sensitive information. Lastly, it encrypts and isolates data for each customer. (Link)
Microsoft’s Azure AI Studio supports GPT-4o
Microsoft has announced that Azure AI Studio is now generally available and supports OpenAI’s GPT-4o model, which joins over 1,600 other models, including Mistral, Meta, Nvidia, etc. Developers can use this multimodal foundational model to incorporate text, image, and audio processing into their apps to provide generative and conversational AI experiences. (Link)
Daily chronicle of AI Innovations May 21st 2024: Microsoft announces AI-powered MacBook competitors Microsoft’s AI chatbot will ‘recall’ everything you do on a PC Scarlett Johansson told OpenAI not to use her voice TSMC and ASML machines are equipped with remote self-destruct in case of invasion Volvo introduces first autonomous truck Microsoft’s New AI PCs Rival Apple’s MacBooks Scarlett Johansson sues OpenAI for using her voice in ChatGPT DINO 1.5 is smarter and faster at object detection
Microsoft announces AI-powered MacBook competitors
- Microsoft introduces “Copilot Plus PCs,” new Windows laptops with built-in AI hardware and features, launching June 18th with Qualcomm processors.
- These AI-enabled laptops, from major partners like Dell and Lenovo, will include a neural processor, at least 16GB RAM, and 256GB SSD, supporting over 40 AI models and OpenAI’s GPT-4o model.
- Promising significant performance and battery life improvements, Microsoft expects to sell 50 million Copilot Plus PCs in the next year, marking a new era for Windows laptops.
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Microsoft’s New AI PCs Rival Apple’s MacBooks
Microsoft revealed Copilot+ PCs, a new category of Windows PCs designed for AI. These PCs boast powerful processors, all-day battery life, and AI features like Recall for instant memory, Cocreator for image creation, Live Captions for real-time translations, and Auto Super Resolution for games.
The recall feature, which allows users to search and recall anything they’ve seen and interacted with on their computer screens with natural language, is especially impressive. The new PCs feature an all-new system architecture with CPU, GPU, and a high-performance Neural Processing Unit (NPU) working together. Starting at $999, Copilot+ PCs are equipped with OpenAI’s GPT-4o models.
Why does this matter?
Microsoft claims its new Arm-powered Copilot Plus PCs will outperform the MacBook Air with M3 by over 50% on sustained performance. The tech giant is advancing Arm-based computing by using AI at every level and partnering with Qualcomm. If these machines live up to the hype, they could upset the dominance of Intel-based laptops and challenge Apple’s M-series processors.
TSMC and ASML machines are equipped with remote self-destruct in case of invasion
- ASML and TSMC have the capability to disable their chipmaking machines if China invades Taiwan, according to sources.
- ASML assured officials it can remotely shut down these machines, including its EUV units, which are crucial for producing the world’s smallest microchip transistors used in both AI and military applications.
- US government officials, concerned about the potential impact of a Chinese invasion on the global chip supply, have discussed these security measures with both Dutch and Taiwanese counterparts.
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Microsoft’s AI chatbot will ‘recall’ everything you do on a PC
- Microsoft introduced an upgraded version of its AI assistant, Copilot, that will remember users’ activities on their PCs to predict their next actions.
- The new AI features, including Windows Recall, aim to enhance user experience by providing a virtual “photographic memory,” while allowing users to control their privacy settings.
- It’s a step toward machines that “instantly see us, hear, reason about our intent and our surroundings,” said CEO Satya Nadella.
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Scarlett Johansson told OpenAI not to use her voice
- Scarlett Johansson stated that OpenAI approached her in September about supplying her voice for GPT-4o, but she declined the offer.
- After hearing a demo of the ChatGPT system’s “Sky” voice resembling her own, Johansson expressed shock and mentioned hiring legal counsel to address the issue with OpenAI.
- OpenAI, while denying that Sky’s voice was meant to mimic Johansson’s, paused the use of the voice out of respect and announced plans to introduce additional voices in the future.
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Scarlett Johansson sues OpenAI for using her voice in ChatGPT
Scarlett Johansson claims OpenAI asked her to voice ChatGPT, but she declined. Later, OpenAI released a voice named “Sky” that sounded eerily similar to her. Johansson was shocked and angered by the similarity and has hired legal counsel to investigate how the “Sky” voice was created.
OpenAI denies that the “Sky” voice was intended to resemble Johansson, has paused using it in its products, and apologizes for not communicating better. Johansson seeks transparency from OpenAI and believes that individual rights must be protected in the era of deep fakes and AI content.
Why does this matter?
Another day, another OpenAI drama. OpenAI already faces lawsuits from authors and news organizations over copyright infringement in training its AI models. Johansson’s case shows the limited legal protection actors have against AI mimicking their likeness, and some lawmakers are proposing bills to address the issue.
DINO 1.5 is smarter and faster at object detection
IDEA Research launched the Grounding DINO 1.5 open-world object detection model series, with Grounding DINO 1.5 Pro for high-performance detection and Grounding DINO 1.5 Edge for efficient edge computing. Grounding DINO 1.5 Pro achieves state-of-the-art zero-shot transfer performance on several academic benchmarks, surpassing its predecessor.
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The model shows strong detection capabilities across various scenarios, including common objects, long-tailed categories, dense objects, and caption phrase grounding. Grounding DINO 1.5 Pro uses a larger Vision Transformer backbone and is pretrained on the high-quality Grounding-20M dataset.
Why does this matter?
Grounding DINO 1.5 isn’t just about raw performance—it’s also incredibly versatile. Fine-tuning the model on specific datasets leads to even more impressive results, suggesting that it can lead us to make more reliable robotics, automated systems, and more while requiring less training time and data.
Volvo introduces first autonomous truck
- Volvo has unveiled its first production-ready self-driving truck, developed in partnership with the autonomous driving technology company Aurora.
- This autonomous semi truck, based on Volvo’s VNL Class 8 model, is equipped with an array of sensors and cameras to support Aurora’s Level 4 autonomous driving system, which does not require a human driver.
- Volvo and Aurora started collaborating in 2018, and their autonomous trucks have already logged 1.5 million miles on commercial roads; Aurora aims to deploy 20 fully autonomous trucks this year and plans to scale up to 100 trucks by 2025.
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What Else Is Happening in AI on May 21st 2024
HP is introducing simplified laptop “AI PCs” lineup
HP’s new “AI PCs,” the OmniBook X AI and EliteBook Ultra AI, feature Snapdragon X Elite 12-core CPUs. HP’s AI Companion software provides access to ChatGPT-3.5, while Poly Camera Pro offers AI camera controls. Moreover, the OmniBook X AI starts at $1,199.99 and the EliteBook Ultra AI at $1,699.99. (Link)
Google is investing 1 billion Euros to expand its data center in Finland
This move aims to drive AI business growth in Europe. Nordic countries are popular for data centers due to cooler climate, tax breaks, and abundant renewable power. Moreover, the heat from this data center will be used to warm up local homes and buildings. Google’s Hamina data center in Finland already operates with 97% carbon-free energy and aims for net zero emissions by 2030. (Link)
Dell Technologies expands its generative AI capabilities with the Dell AI Factory
The Dell AI Factory with NVIDIA integrates hardware and software to support advanced use cases like RAG and digital assistants. Dell is also deepening partnership with Hugging Face, Meta, and Microsoft to bring open models and Azure AI services to on-premises deployments. The goal is to make it easy for enterprises to assess and implement gen AI on-premises, close to their data. (Link)
Intel’s Lunar Lake laptop processors are set to launch in Q3 2024
These processors are designed for AI Copilot Plus PCs. They offer 3x the AI performance of its predecessor, Meteor Lake. Intel claims Lunar Lake is 1.4 times faster in Stable Diffusion 1.5 compared to Qualcomm’s Snapdragon X Elite. The company aims to ship 40 million AI PC processors by the end of the year, with Lunar Lake featured in over 80 new laptop designs. (Link)
OpenAI CEO Sam Altman apologized for the company’s strict off-boarding agreement
This off-boarding agreement could potentially cancel departing employees’ vested equity. Meanwhile, departing execs are speaking out about the need for serious AGI safety measures. Altman and co-founder Greg Brockman defended OpenAI’s launch procedures, emphasizing their commitment to safety. (Link)
A Daily chronicle of AI Innovations May 20th 2024:
Google’s AI panic looks like Google+ fiasco 
OpenAI pauses Scarlett Johansson-like voice for ChatGPT 
Snapchat focuses on AI with $1.5 billion yearly investment 
Apple and OpenAI plan major announcement at WWDC OpenAI’s “superalignment team,” focused on the AI risks, is no more
Sony Music warns over 700 AI companies not to steal its content Meta’s Chameleon AI sets a new bar in mixed-modal reasoning
Meta’s Chameleon AI sets a new bar in mixed-modal reasoning Google’s AI panic looks like Google+ fiasco
- Scott Jenson, a former Google employee, criticizes the company’s AI projects as poorly motivated and driven by panic, comparing the situation to the Google+ fiasco.
- According to Jenson, Google aims to create a Jarvis-like assistant to keep users within its ecosystem, driven by fear that competitors might get there first, similar to Apple’s strategy with Siri and OpenAI.
- Many of Google’s AI projects revealed at I/O 2024 are still experimental or limited in availability, with uncertain value, and features like “AI Overviews” in Google Search have received criticism for potential copyright issues and misinformation.
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OpenAI pauses Scarlett Johansson-like voice for ChatGPT
- OpenAI is pulling the ChatGPT voice known as Sky, which sounds similar to Scarlett Johansson, due to concerns about mimicking celebrities’ voices.
- The company asserts that Sky’s voice is the natural voice of a different professional actress and not an intentional imitation of Johansson.
- The decision to pause Sky’s use follows recent enhancements to ChatGPT’s voice mode, part of the new GPT-4o model, which aims to make the assistant more expressive and capable of reading facial expressions and translating spoken language in real-time.
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Snapchat focuses on AI with $1.5 billion yearly investment
- Snap’s CEO, Evan Spiegel, announced a major investment of $1.5 billion annually in AI and machine learning to improve Snapchat’s features and competitiveness.
- After successfully revamping Snapchat’s advertising model, the company will now focus on collaborating with tech giants like Amazon and Google for cloud partnerships to enhance AI product innovations.
- With growing ad revenue and new successful ad campaigns, Snapchat plans to expand content offerings and augmented reality experiences, enhancing user engagement and competing with platforms like TikTok.
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Apple and OpenAI plan major announcement at WWDC
- Apple and OpenAI are planning a major joint announcement at WWDC, focusing on integrating OpenAI’s technology into iOS 18, according to Mark Gurman from Bloomberg.
- Apple aims to improve its AI capabilities with this integration, including enhancements to Siri and features like automatic summaries of notifications and transcription of voice memos.
- While Apple acknowledges it is behind in AI and lacks a chatbot like ChatGPT or Google Gemini, the company believes the collaboration with OpenAI is a sufficient, though temporary, solution.
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OpenAI’s “superalignment team,” focused on the AI risks, is no more
The team’s co-leads, Ilya Sutskever and Jan Leike, have resigned from OpenAI. Several other researchers from the team and those working on AI policy and governance have also left the company. Leike cited disagreements with OpenAI’s leadership about the company’s priorities and resource allocation as reasons for his departure.
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(Source)
The team’s work will be absorbed into OpenAI’s other research efforts, with John Schulman leading research on risks associated with more powerful models.
Why does this matter?
The “superalignment” team was for ensuring the artificial general intelligence (AGI) that OpenAI claims to be working on doesn’t turn on humankind. This dismantling raises questions on the company’s commitment to AI safety and ethical standards.
Sony Music warns over 700 AI companies not to steal its content
Sony Music, home to superstars like Billy Joel and Doja Cat, sent letters to over 700 AI companies and streaming platforms, warning them against using its content without permission. The label called out the “training, development, or commercialization of AI systems” that use copyrighted material, including music, art, and lyrics.
SMG recognizes AI’s potential but stresses the need to respect songwriters’ and artists’ rights. The letter asks companies to confirm they haven’t used SMG content without permission or provide details if they have.
Why does this matter?
The battle over music copyright and AI has intensified across various platforms, from YouTube’s strict rules for AI-generated music to the recent standoff between Universal Music Group and TikTok. As AI voice clones and music generation tools become more sophisticated, artists question control, compensation, and actions against copyright infringement.
Meta’s Chameleon AI sets a new bar in mixed-modal reasoning
Meta AI introduces Chameleon, a family of early-fusion token-based mixed-modal models that understands and generates images and text in any order. Unlike recent foundation models that process text and images separately, Chameleon unified token space allows it to process interleaved image and text sequences.This approach allows seamless reasoning and generation across modalities.
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Meta researchers introduced architectural enhancements and training techniques to tackle the optimization challenges posed by this early fusion approach, including a novel image tokenizer, QK-Norm, dropout, and z-loss regularization. Remarkably, Chameleon achieves competitive or superior performance across various tasks, outperforming larger models like Flamingo-80B and IDEFICS-80B in image captioning and visual question answering despite its smaller model size.
Why does this matter?
Chameleon opens up new possibilities for more natural and intuitive human-machine interactions, similar to how we effortlessly communicate using both modalities in the real world.
Trending AI Tools May 20th 2024:
Paperpal – AI writing assistant offering grammar checks, paraphrasing, predictive text, and plagiarism detection. Use code RUN30 for 30% off*- ElevenLabs Audio Native – Add human-like narration to your blog or news site
- Framer – Generate a responsive website with no code
- Glitter – Turn any process into a step-by-step guide
TestSprite Beta – Automate end-to-end software testing with AI- Buffup – AI assistant that learns your intent, powered by GPT-4o
New AI Job Opportunities on May 20th 2024:
Databricks – Director, Field Engineering
Palantir – Web Application Developer
Meta – GenAI Program Manager
Weights & Biases – Software Engineer, Engineering Productivity
What Else Is Happening in AI on May 20th 2024
Google launched open-source Model Explore to visualize and debug complex AI models
It uses advanced graphics rendering techniques from the gaming industry to handle massive models. The tool offers a graphical user interface and a Python API for integration into machine learning workflows. Model Explorer lets developers identify and resolve issues quickly, especially for AI deployed on edge devices. (Link)
The UK’s AI Safety Institute is opening an office in San Francisco
The institute aims to be closer to the epicenter of AI development, companies like OpenAI and Google as they are building foundational models. This new office would open this summer, giving the UK access to Silicon Valley’s tech talent and strengthening ties with the US. (Link)
The EU demands Microsoft to provide internal documents on Bing’s gen AI risks
The Commission suspects Bing may have breached the Digital Services Act (DSA) due to risks like AI “hallucinations,” deep fakes, and potential voter manipulation. Microsoft has until May 27 to comply with the legally binding request for information. Failure to do so could result in fines of up to 1% of Microsoft’s total annual income or worldwide turnover. (Link)
Snapchat CEO Evan Spiegel focuses on AI and ML for better UX and personalization
As its ad revenue increases, Snap plans to expand content offerings, improve recommendation algorithms, and integrate Stories with Spotlight. The company is also investing in augmented reality and sees it as a way to bring people together in shared physical environments. (Link)
Researchers in the Netherlands have developed an AI sarcasm detector
The AI was trained on text, audio, and emotional content from US sitcoms, including Friends and The Big Bang Theory. The AI could detect sarcasm in unlabeled exchanges nearly 75% of the time. Further improvements could come from adding visual cues to the AI’s training data. (Link)
AI Weekly Rundown May 11-May 18th 2024: Major Breaking News from OpenAI ChatGPT-4o, Google AI Veo, Apple AI-enhanced eye tracking, Meta AI-assisted earphones , Stability AI, Humane AI
Sam Altman quashes search engine launch rumors
GPT-4o: 2x faster, 50% cheaper, 5x rate limits than GPT-4 Turbo
TikTok tests ChatGPT-powered search results
Meta explores AI-assisted earphones with built-in cameras
Google announced a wide array of updates across its AI ecosystem
Ilya Sutskever, OpenAI’s co-founder and chief scientist, has left the company
Apple unveils AI-enhanced eye tracking, music haptics, voice shortcuts
OpenAI will bring Reddit content to ChatGPT and new products
OpenAI introduces improvements to data analysis in ChatGPT
GenZ and millennials optimistic about GenAI use at work: Deloitte Survey
A Daily chronicle of AI Innovations May 17th 2024: OpenAI introduces improvements to data analysis in ChatGPT GenZ and millennials optimistic about GenAI use at work: Deloitte Survey OpenAI strikes Reddit deal to train its AI on your posts Sony Music warns 700+ tech companies over ‘unauthorized’ use of its content to train AI 
The first search engine has been resurrected Deepfake scam costs firm behind Sydney Opera $25 million
OpenAI introduces improvements to data analysis in ChatGPT
OpenAI is rolling out enhancements to data analysis:
- Upload the latest file versions directly from Google Drive and Microsoft OneDrive. This allows ChatGPT to understand your Google Sheets, Docs, Slides, and Microsoft Excel, Word, and PowerPoint files more quickly
- Interact with tables and charts in a new expandable view
- Customize and interact with bar, line, pie, and scatter plot charts in the conversation.
- Work on tables in real-time
These improvements will be available in OpenAI’s new flagship model, GPT-4o, for ChatGPT Plus, Team, and Enterprise users over the coming weeks.
Why does this matter?
This are exciting updates for those who use ChatGPT to work on documents for data analysis. It should save users time, give them more options and ease when using the chatbot, and make data-driven writing easier.
GenZ and millennials optimistic about GenAI use at work: Deloitte Survey
Deloitte’s 2024 Gen Z and Millennial Survey connected with more than 22,800 respondents in 44 countries to explore their attitudes about work and the world around them. One of the key findings was that Gen Zs and millennials are feeling uncertain about GenAI and its potential impact on their careers.
However, respondents who frequently use GenAI at work are more likely to say they feel excitement about, and trust in the technology. Frequent users of GenAI are also more likely to believe it will free up their time, improve the way they work, and improve their work/life balance.
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But, conversely, the more a respondent uses GenAI the more likely they are to have some concerns as well.
Why does this matter?
Gen AI is about to bring a huge transformation in the way we work and live. Despite concerns regarding it, GenZs and millennials are starting to think about how to adapt, whether their employers do or do not.
OpenAI strikes Reddit deal to train its AI on your posts
- OpenAI has signed a deal with Reddit to access real-time content from Reddit’s data API, similar to Reddit’s earlier $60 million deal with Google.
- The partnership will allow Reddit to implement new AI-powered features and applications while also making OpenAI an advertising partner on the platform.
- Details on financial terms or training data were not disclosed, and Reddit users have previously shown resistance to such changes, protesting API pricing alterations in June 2023.
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Sony Music warns 700+ tech companies over ‘unauthorized’ use of its content to train AI
- Sony Music has sent letters to over 700 AI companies and streaming platforms, warning them against the unauthorized use of its content for AI systems, which it claims denies artists and the label control and compensation.
- The music industry has been notably proactive in controlling the usage of its copyrighted material in AI tools, with platforms like YouTube enforcing strict rules for music content while introducing AI tools like Dream Track.
- Universal Music Group similarly faced a dispute with TikTok over licensing, leading to a temporary removal of music by major artists like Taylor Swift and Ariana Grande until a new deal was brokered to protect artists’ rights and explore monetization opportunities involving AI.
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Deepfake scam costs firm behind Sydney Opera $25 million
- A British design firm, Arup, which is known for its work on the Sydney Opera House, lost $25.6 million in a deepfake scam involving a fake CFO and other staff members.
- An employee in Arup’s Hong Kong office fell victim to the fraud after being convinced by realistic deepfake videos to transfer the money over 15 transactions, realizing the scam only after cross-checking with the UK office.
- Despite the significant financial loss, Arup stated that their financial stability and business operations were unaffected, and the case is currently under police investigation.
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What Else Is Happening in AI on May 17th 2024
Slack AI is training with customer data, but claims it is privacy-driven
To develop AI/ML models, Slack is analysing Customer Data (e.g. messages, content and files) submitted to Slack as well as Other Information (including usage information) as defined in their privacy policy and in customer agreement. But it is assuring users that their data won’t be shared across workspaces and has offered options to opt out of contributing to global models. (Link)
Hugging Face is committing $10 million worth of compute to help beat big AIs
Hugging Face aims to level the playing field with AI giants like OpenAI by donating shared GPUs to the community through a new program called ZeroGPU. The shared GPUs are accessible to multiple users or applications concurrently, eliminating the need for each user or application to have a dedicated GPU. (Link)
Microsfot to offer its cloud customers AMD alternative to Nvidia AI processors
Microsoft will give its cloud customers a platform of AMD AI chips that will compete with components made by Nvidia, with details to be given at its Build developer conference next week. It will also launch a preview of its new Cobalt 100 custom processors at the conference. (Link)
Ampere teams up with Qualcomm to launch an Arm-based AI server
The two companies are combining forces to to offer an AI-focused server that uses Ampere’s CPUs and Qualcomm’s Cloud AI 100 Ultra AI inferencing chips for running– not training– models. (Link)
Gannett is adding AI-generated summaries to the top of its articles
Gannett, the media company that owns hundreds of newspapers in the US, is launching a new program that adds AI-generated bullet points at the top of news stories. The summaries appear to be already live and are aimed to enhance the reporting process and elevate the audience experience. (Link)
A Daily chronicle of AI Innovations May 16th 2024: Microsoft’s AI ambitions lead to 30% rise in emissions
Stability AI reportedly runs out of money and in negotiations to sell Apple unveils AI-enhanced eye tracking, music haptics, voice shortcuts 
Microsoft’s AI ambitions lead to 30% rise in emissions
- Microsoft’s commitment to being carbon-negative by 2030 is threatened by a 30% increase in its carbon emissions, largely due to its growing focus on AI technologies.
- The company’s expansion of AI operations necessitates building more data centers, which rely on energy-intensive materials like steel, concrete, and microchips, further complicating their carbon reduction goals.
- Despite its renewable energy claims, Microsoft is acknowledged for using instruments like renewable energy credits (RECs) that might mask actual carbon emissions, indicating a challenging path ahead to meet its sustainability targets.
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Stability AI reportedly runs out of money and in negotiations to sell
- Stability AI, known for its open-source image generator Stable Diffusion, is negotiating a sale due to financial struggles, despite a valuation of $1 billion.
- The company raised over $100 million in 2022 but struggled to turn its free software into revenue while facing stiff competition from rivals like OpenAI and Midjourney.
- Founder and CEO Emad Mostaque resigned amid management issues, and the company faces significant expenses and liabilities, projecting $153 million in costs against only $11 million in revenue for 2023.
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Apple unveils AI-enhanced eye tracking, music haptics, voice shortcuts
Apple recently unveiled new accessibility features that will launch later this year. One of these features is Eye Tracking, which enables users with physical disabilities to navigate their iPhones and iPads using only their eyes.
By leveraging the front-facing camera and AI, Eye Tracking allows precise control through a “Dwell Control” feature, eliminating the need for additional hardware.
Another noteworthy addition is Music Haptics, designed for users who are deaf or hard of hearing. When enabled, the Taptic Engine in iPhones plays taps, textures, and refined vibrations synchronized with music audio.
Additionally, Apple has introduced Voice Shortcut, which allows users to create custom voice commands for specific actions on their devices. With Voice Shortcut, users can perform tasks hands-free by simply speaking their personalized commands
Why does this matter?
This would encourage the development and advancement of AI technologies in the accessibility domain, ultimately benefiting individuals with disabilities across different platforms and devices.
Humane’s AI Pin upgraded with GPT-4o
Humane has upgraded its popular AI Pin product with the GPT-4o model. This upgrade aims to enhance the AI Pin’s performance. The new version runs faster, provides more accurate answers, and offers richer information.
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Why does this matter?
As more sophisticated AI models become accessible, we can expect further improvements in various applications, from digital assistants to natural language understanding and generation.
😱 Ilya Sutskever and Jan Leike leave OpenAI
OpenAI co-founder and chief scientist Ilya Sutskever announced that he is leaving the company — following months of speculation of Sutskever’s role from the November 2023 Sam Altman ousting.
- Sutskever said he is confident that OpenAI will ‘build AGI that is both safe and beneficial’ under the current leadership.
- Also leaving is Sutskever’s superalignment group co-lead Jan Leike, announcing his departure with a cryptic resignation post.
- The news follows months of departures largely coming from OpenAI’s superalignment and safety teams, fueling speculation.
- OpenAI CEO Sam Altman named Jakub Pachocki as the new chief scientist, a key researcher on the creation of GPT-4.
After months of tensions, the speculation around Ilya’s future with Sam is finally put to rest. But questions surrounding the safety team departures still remain. Also important to watch is where Sutskever and Leike land next, with two of AI’s brightest minds now officially on the market.
📱 Android phones enter the AI era
Google announced a host of new AI integrations coming to Android phones at its I/O Developer Conference, bringing its powerful Gemini model on-device to enable upgraded smartphone experiences.
- Google’s Gemini Nano model will be integrated into the Pixel later this year, allowing for enhanced multimodal capabilities.
- Gemini features will be easily accessible with a new overlay, which improves and understand context to provide dynamic suggestions.
- A Circle to Search feature, allowing users to query anything on screen, gains homework help features via a LearnLM model.
- Google is also bringing a new AI security feature soon, providing real-time alerts on calls that appear to be scams.
While everyone awaits the iPhone AI announcements, Google’s Android AI era is rolling. With Gemini coming directly on-board, the potential is there — but if Apple integrates ChatGPT, it may remain tough sledding against the dominant market leader.
AI TRAINING 🗣️ How to clone your voice using AI
A new model on Replicate called OpenVoice lets you clone any voice for free with just an audio file and the desired text to be turned into speech.
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New AI Job Opportunities on May 16th 2024
What Else Is Happening in AI on May 16th 2024
Instagram co-founder joins Anthropic as head of product
Anthropic has appointed Mike Krieger, the co-founder of Instagram and Artifact, as head of product. In this pivotal role, Krieger will steer the company’s product engineering, management, and design efforts as Anthropic expands its suite of AI apps and aims to bring Claude to a wider audience. (Link)
IBM plans 800 new jobs in Ireland
IBM plans to hire up to 800 more people in Ireland to help build advanced software underpinned by AI technology. This is the biggest job announcement in the country’s multinational sector this year. The roles will be in research and development, digital sales, and consulting. (Link)
Mozilla Firefox incorporates NVIDIA RTX video to improve video quality on Windows
Mozilla Firefox has incorporated NVIDIA RTX Video, a technology that leverages AI to improve video quality on Windows PCs and workstations. This brings a host of AI-powered enhancements to online videos, including upscaling and HDR, for a more immersive viewing experience. Users can easily access these features by updating GeForce RTX drivers and activating Windows HDR. (Link)
Musk’s AI firm xAI In talks with Oracle for $10 billion cloud deal
Elon Musk’s AI startup, xAI, is in talks with Oracle executives about a $10 billion deal to rent cloud servers from Oracle over several years. This move comes as Musk’s company seeks to keep pace with rivals like OpenAI, Microsoft, and Google to dominate the AI field. (Link)
Snowflake invests in Metaplane to enhance data quality
Snowflake, a data cloud platform, has invested in Metaplane, a Boston-based startup. Metaplane focuses on helping enterprises identify and rectify data quality issues using an end-to-end AI-powered platform. The investment aims to enhance integration between Metaplane’s data observability offering and the Snowflake data cloud. (Link)
A Daily chronicle of AI Innovations May 15th 2024: Google unveiled the ‘future of AI’ at I/O event OpenAI chief scientist Ilya Sutskever is leaving Former Cruise CEO starts robotics firm with ex-Tesla AI manager Google announced a wide array of updates across its AI ecosystem Ilya Sutskever, OpenAI’s co-founder and chief scientist, has left the company Expedia is launching AI features, including a bot named Romi NVIDIA and Recursion have collaborated to build BioHive-2, an AI supercomputer for drug discovery NASA appoints David Salvagnini, its first chief AI officer SoftBank plans to invest $75-$150 million in Indian data center and industrial robotics Microsoft announces €4 billion investment in France to accelerate AI adoption 🎥 Google’s Gemini updates and Sora competitor🔎 Google’s AI agents and AI search upgrades
🎥 Google’s Gemini updates and Sora competitor
Google just kicked off its I/O Developer’s Conference, announcing a wide array of updates across its AI ecosystem — including enhancements across its flagship Gemini model family and a new video generation model to rival OpenAI’s Sora.
Gemini model updates:
- New updates to 1.5 Pro include a massive 2M context window extension and enhanced performance in code, logic, and image understanding.
- Gemini 1.5 Pro can also utilize the long context to analyze a range media types, including documents, videos, audio, and codebases.
- Google announced Gemini 1.5 Flash, a new model optimized for speed and efficiency with a context window of 1M tokens.
- Gemma 2, the next generation of Google’s open-source models, is launching in the coming weeks, along with a new vision-language model called PaliGemma.
- Gemini Advanced subscribers can soon create customized personas called ‘Gems’ from a simple text description, similar to ChatGPT GPTs.
Video and image model upgrades:
- Google revealed a new video model called Veo, capable of generating over 60-second, 1080p resolution videos from text, image, and video prompts.
- The new Imagen 3 text-to-image model was also unveiled with better detail, text generation, and natural language understanding than its predecessor.
- VideoFX text-to-video tool, featuring storyboard scene-by-scene creation and the ability to add music to generations.
- VideoFX is launching in a ‘private preview’ in the U.S. for select creators, while ImageFX (with Imagen 3) is available to try via a waitlist.
Why it matters: Gemini’s already industry-leading context window gets a 2x boost, enabling endless new opportunities to utilize AI with massive amounts of information. Additionally, Sora officially has competition with the impressive Veo demo — but which one will make it to public access first?
🔎 Google’s AI agents and AI search upgrades
Google just showcased its new AI agent project ‘Project Astra’, alongside a slew of updates to infuse AI across search and enable Gemini to reason and take more advanced actions for users.
Progress on AI agents:
- Google announced Project Astra, a real-time AI agent prototype that can see, hear, and take actions on a user’s behalf.
- The demo showcased a voice assistant responding to what it sees and hears, including code, images, and video — capable of advanced reasoning and recall.
- Public access for Astra is expected through the Gemini app later this year.
- Google also showed off ‘AI teammates’, agents that can answer questions on emails, meetings, and other data within Workspace.
- Live is also rolling out in the coming months, allowing users to speak and converse with Gemini in near real-time.
Search upgrades:
- Google Search now features expanded AI Overviews, advanced planning capabilities, and AI-organized search results.
- Gemini will be able to execute more complex planning, such as planning, maintaining, and updating trip itineraries.
- Search will also receive ‘multi-step reasoning’ capabilities, allowing Gemini to break down questions and speed up research.
- Users can also now ask questions with video, allowing Search to analyze visual content and provide helpful AI Overviews.
Why it matters: We officially have a new voice assistant battle — with OpenAI and Google both showcasing mind-blowing new capabilities in just the last two days alone. Also, despite rumblings of an OpenAI search product and excitement over platforms like Perplexity, it’s going to be difficult to unseat the king of search. Especially as they integrate advanced AI across the entire ecosystem in an impressive fashion.
Former Cruise CEO starts robotics firm with ex-Tesla AI manager
- Former Cruise CEO Kyle Vogt, who resigned in November following a self-driving car accident, has launched a new robotics firm called The Bot Company with former Tesla AI Manager Paril Jain.
- The Bot Company aims to develop robots that handle everyday chores to give people more free time, and has already raised $150 million from investors.
- The announcement of The Bot Company comes amid significant challenges for Cruise, which had its self-driving operations suspended by the California DMV following a pedestrian accident.
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Google announced a wide array of updates across its AI ecosystem
Major headlines were Project Astra, an AI agent that can see and hear users in real time, and AI teammates that can answer questions and organize data within Workspace.
Google also introduced Veo, a high-quality video generation model, and significant updates to Google Search, including expanded AI Overviews, advanced planning capabilities, and AI-organized search results.
The company launched Gemini 1.5 Pro, boasting a massive 2M context window extension, and Imagen 3, the next version of its text-to-image model. Other notable announcements included:
- Gemma 2 updates: New 27-billion-parameter model launching in June
- Google Play: New app discovery feature and developer tools
- Android feature to detect potential scams during calls using Gemini Nano
- Ask Photos: AI-powered search in Google Photos using natural language queries
- Gemini in Gmail for searching, summarizing, and drafting emails
- Gemini 1.5 Pro: Increased input capacity to 2 million tokens
- Gemini Live: In-depth voice chats with Gemini on smartphones
- Gemini Nano: Smallest AI model built into Chrome desktop client
- Gemini on Android: Deep integration with Android OS and Google apps
- Gemini on Google Maps: Generative AI summaries for places and areas
- Tensor Processing Units (TPU): Sixth-generation Trillium chips with 4.7x performance boost
- Project IDX: AI-centric browser-based development environment in open beta
- Circle to Search: AI-powered feature for instant answers using gestures on Android
- Pixel 8a: New smartphone with Tensor G3 chip, starting at $499
- Pixel Slate: Google’s Pixel Tablet is now available with or without the base
With 22 announcements, Google is making everyone a bit overwhelmed. By integrating AI across its vast ecosystem, Google aims to provide users with more personalized and innovative experiences. But Google Project Astra and Veo are not available to the public yet. This may irritate customers compared to OpenAI, which launches new products that customers can play with immediately.
Ilya Sutskever, OpenAI’s co-founder and chief scientist, has left the company
Ilya Sutskever, OpenAI’s co-founder and longtime chief scientist, has left the company. OpenAI CEO Sam Altman announced the news on X, expressing his sadness and gratitude for Sutskever’s contributions. Jakub Pachocki, OpenAI’s research director, will step up as a chief scientist.
Sutskever’s departure comes amidst reports of disagreements with Altman over OpenAI’s direction, mainly concerns about rushing AI-powered product launches at the expense of safety. The situation escalated last November when Sutskever and OpenAI CTO Mira Murati approached the company’s previous board to express their concerns, leading to a brief attempt to fire Altman. However, Altman was swiftly reinstated, and much of the old board resigned.
Why does it matter?
As one of the most accomplished minds in AI, Sutskever’s departure raises questions about the future of OpenAI’s approach to AI development and safety. The incident also highlights the growing tensions within the AI industry between rapidly commercializing AI technologies and the need for responsible development and deployment practices.
What Else Is Happening in AI on May 15th 2024
Expedia is launching AI features, including a bot named Romi
It helps users search for hotels, build itineraries, and make changes via iMessage and WhatsApp. The company also introduces smart search, allowing travelers to find hotels based on desired features. Expedia pulls data from AccuWeather and Yelp to tailor search results and provide real-time updates. (Link)
NVIDIA and Recursion have collaborated to build BioHive-2, an AI supercomputer for drug discovery
BioHive-2 features 504 NVIDIA H100 GPUs, delivering 2 exaflops of AI performance, nearly 5 times faster than its predecessor. Powered by Recursion’s massive 50-petabyte dataset and AI models like Phenom, these companies aim to simulate biology and fast-track the identification of promising drug candidates. (Link)
NASA appoints David Salvagnini, its first chief AI officer
The move aims to ensure NASA stays ahead in AI advancement and responsible use. Salvagnini will lead NASA’s efforts in guiding the responsible use of AI and collaborating with other agencies, academia, and industry partners. (Link)
SoftBank plans to invest $75-$150 million in Indian data center and industrial robotics
The move aligns with the Japanese tech giant’s global strategy to capitalize on the power of artificial intelligence as it shifts focus from e-commerce and fintech to high-growth industries like logistics and robotics. The potential investments mark the end of a two-year hiatus in SoftBank’s deal-making activities in India. (Link)
Microsoft announces €4 billion investment in France to accelerate AI adoption
The tech giant will expand its cloud and AI infrastructure, launch skilling programs, and accelerate French startups through its new Microsoft GenAI Studio, positioning France as a leader in the AI revolution. It aims to train 1 million people and support 2,500 startups by 2027. (Link)
AI TRAINING: 🤖 Use ChatGPT’s highlighting for context
ChatGPT now allows you to highlight parts of its responses for quick follow-up questions, partial response rewrites, reusing old context, and more.
Step-by-step:
- Prompt ChatGPT and generate a response.
- Highlight relevant parts of the response you want to follow-up on and click the double quote icon above the highlighted text.
- The highlighted text will be automatically added in the next prompt so you can ask for clarification, rewrites, counterpoints, and more.
New AI Job Opportunities on May 15th 2024
OpenAI – Media Relations, Policy Communications- Lambda – Sourcing Manager
- C3 AI – General Manager, Federal Systems
- Glean – Accounting Manager
Google unveiled the ‘future of AI’ at I/O event
- Google I/O just ended and a lot of announcements were made. Gemini 1.5 Pro will increase its context window from one to two million tokens and a new model called Gemini Flash was announced, which is optimized for speed and efficiency
- The company launched Astra, a multimodal AI assistant for everyday life. It can process text, video, and audio in real time. In a video, Google showed Astra identifying speakers, crayons and other objects in response to a camera image and voice commands.
- Google also unveiled its latest AI models for creating media content: Veo, for creating 1080p videos, and Imagen 3, for generating images from text descriptions.
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OpenAI chief scientist Ilya Sutskever is leaving
- Ilya Sutskever, OpenAI’s co-founder and chief scientist, is officially leaving the company after his involvement in the failed attempt to remove CEO Sam Altman and subsequently changing his stance.
- Sam Altman announced that Jakub Pachocki, who has led significant projects such as GPT-4 and OpenAI Five, will take over as the new Chief Scientist at OpenAI, ensuring the company’s continued progress towards its mission.
- Jan Leike, who has been leading the Superalignment team aimed at controlling more powerful AI, has also resigned, with his responsibilities now being taken over by OpenAI co-founder John Schulman.
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A Daily chronicle of AI Innovations May 14th 2024: GPT-4o: 2x faster, 50% cheaper, 5x rate limits than GPT-4 Turbo 🗣️ OpenAI unveils GPT-4o and new voice capabilities TikTok tests ChatGPT-powered search results Meta explores AI-assisted earphones with built-in cameras Anthropic launches Claude in Europe in the hope of raising more money UAE launches a new AI model to compete with big tech Japan team builds Gen AI foundation model using supercomputer Fukagu Microsoft Places finds the best time for your next office day U.S. and China to meet in Geneva to discuss AI risks 🎧 Meta developing AI-powered ‘Camerabuds’ 
Meta’s AI system ‘Cicero’ learning how to lie, deceive humans
🗣️ OpenAI unveils GPT-4o and new voice capabilities
OpenAI just unveiled GPT-4o, a new advanced multimodal model that integrates text, vision and audio processing, setting new benchmarks for performance – alongside a slew of new features.
The new model:
- GPT-4o provides improved performance across text, vision, audio, coding, and non-English generations, smashing GPT-4T’s performance.
- The new model is 50% cheaper to use, has 5x higher rate limits than GPT-4T, and boasts 2x the generation speed of previous models.
- The new model was also revealed to be the mysterious ‘im-also-a-good-gpt2-chatbot’ found in the Lmsys Arena last week.
Voice and other upgrades:
- New voice capabilities include real-time responses, detecting and responding with emotion, and combining voice with text and vision.
- The demo showcased feats like real-time translation, two AI models analyzing a live video, and using voice and vision for tutoring and coding assistance.
- OpenAI’s blog also detailed advances like 3D generation, font creation, huge improvements to text generation within images, sound effect synthesis, and more.
- OpenAI also announced a new ChatGPT desktop app for macOS with a refreshed UI, integrating directly into computer workflows.
Free for everyone:
- GPT-4o, GPTs, and features like memory and data analysis are now available to all users, bringing advanced capabilities to the free tier for the first time.
- The GPT-4o model is currently rolling out to all users in ChatGPT and via the API, with the new voice capabilities expected to arrive over the coming weeks.
GPT-4o: 2x faster, 50% cheaper, 5x rate limits than GPT-4 Turbo
OpenAI unveiled its new flagship model, GPT-4o (“o” stands for “omni”). It provides GPT-4-level intelligence but is 2x faster, 50% cheaper, has 5x higher rate limits, and enhanced text, voice, and vision capabilities than GPT-4 Turbo. It also matches GPT-4 Turbo performance on text in English and code, with significant improvements for text in non-English languages.
GPT-4o can respond to audio inputs in as little as 232 ms, with an average of 320 ms, which is similar to human response time in a conversation. It is available in the ChatGPT free tier and to Plus users.
Why does it matter?
GPT-4o is a step towards much more natural human-computer interaction. It accepts any combination of text, audio, and image as input and generates any combination of text, audio, and image outputs. GPT-4o will set a new benchmark for AI capabilities and pave the way for more intelligent and accessible AI systems.
TikTok tests ChatGPT-powered search results
TikTok is testing a new search feature that uses AI to generate results for some queries. For certain search terms, like recipes or product recommendations, TikTok will display AI-generated answers at the top of the results. These answers are powered by ChatGPT, and when you click on one of these AI results, it takes you to a page with a full response.
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TikTok is also testing “search highlights,” which appear at the top of some searches. However, it’s unclear whether these highlights are AI-generated.
Why does it matter?
It could make search on TikTok more authoritative and reliable by providing factual answers from AI models like ChatGPT. This could greatly impact how people use TikTok for search and information gathering, thereby positioning TikTok more directly as a search engine competitor to Google, catering to younger users’ preferences.
Meta explores AI-assisted earphones with built-in cameras
Meta is currently exploring AI-powered earphones with built-in cameras. The project is known internally as “Camerabuds;” however, it’s uncertain if the final product will be in-ear earbuds or over-ear headphones. The cameras let the AI take in surrounding information visually, allowing it to translate foreign languages, identify objects, and more.
CEO Mark Zuckerberg has reportedly seen several possible designs but has not been satisfied with them. Outside of design, the major hurdle is fitting a camera and batteries in a tiny device like an earbud.
Why does it matter?
For the AI wearable space, Meta’s development hints at a growing interest in AI-infused devices, potentially paving the way for more sophisticated and interactive wearables. Regarding earphones, this development suggests a potential shift towards more intelligent and feature-rich earphone designs, offering users enhanced functionalities like real-time translation and object identification.
🎧 Meta developing AI-powered ‘Camerabuds’
Meta is reportedly in the early stages of developing AI-powered earphones, known internally as “Camerabuds,” — aiming to compete with OpenAI and Apple as tech giants rush to infuse AI into wearable devices.
- ‘Camerabuds’ would map user surroundings, capable of identifying objects and translating foreign languages using built-in cameras.
- Meta already has its AI-powered Ray Ban smart glasses, while OpenAI and Apple are also exploring similar AI wearable earbud tech.
- Potential challenges include bulkiness, heat generation, and privacy concerns, especially for users with long hair that might obstruct the cameras.
Despite Meta’s shaky track record with hardware ventures, Mark Zuckerberg is investing heavily in a future that he believes includes AI embedded into every device. But will standalone devices like this be able to win over users if and when a fully AI-integrated phone hits the market?
Meta’s AI system ‘Cicero’ learning how to lie, deceive humans
- Meta’s AI, Cicero, has learned to lie and deceive humans, excelling in the strategy game Diplomacy by betraying alliances.
- The study, published in the journal Patterns, indicated that several AI systems, including Cicero, AlphaStar, and Pluribus, leverage deception to improve performance in competitive tasks and games.
- Experts warned that advanced AI’s deceptive abilities pose increasing risks to society, suggesting that deceptive AI systems should be classified as high risk if outright banning them is not feasible.
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New AI Job Opportunities on May 14th, 2024
- Perplexity AI – Search Engineer
- Shield AI – Project Manager
- C3 AI – General Manager, ESG
- Scale AI – Software Engineer, Cloud Infra
What Else Is Happening in AI on May 14th, 2024
Anthropic launches Claude in Europe in the hope of raising more money
Anthropic launches Claude in Europe with support for “multiple languages,” including French, German, Italian, and Spanish across Claude.ai, its iOS app, and its business plan for teams. The launch comes after Anthropic extended its API to Europe for developers. Both moves are part of its bigger push to raise more money for rapid growth. (Link)
UAE launches a new AI model to compete with big tech
Abu Dhabi’s Technology Innovation Institute (TII) released Falcon 2 series: Falcon 2 11B, a text-based model, and Falcon 2 11B VLM, a vision-to-language model that can generate a text description of an uploaded image. This Gen AI model could compete with some of the biggest technology companies and make UAE a strong candidate in the Gen AI space. (Link)
Japan team builds Gen AI foundation model using supercomputer Fukagu
Tokyo Institute of Technology researchers and others have announced the development of an LLM that can serve as a foundation for Gen AI using the Japanese supercomputer Fugaku. Trained extensively on Japanese data, which accounts for 60% of the total training data, the Fugaku-LLM model is expected to lead research on Gen AI tailored to domestic needs. (Link)
Microsoft Places finds the best time for your next office day
Microsoft has launched a new app called Microsoft Places that uses AI to help employees and managers coordinate their in-office days and book meeting rooms. The application integrates with Outlook and Microsoft Teams, allowing employees to view and share their office plans and get AI-powered suggestions on which days they should come in. (Link)
U.S. and China to meet in Geneva to discuss AI risks
The U.S. and China will hold their first formal government-to-government discussion on the risks of artificial intelligence in Geneva. The U.S. side will be led by officials from the National Security Council and State Department, while the Chinese side will be led by officials from the Foreign Ministry and the National Development and Reform Commission. (Link)
A Daily chronicle of AI Innovations May 13th 2024: Rumor mill: OpenAI’s Monday reveal; Hello GPT-4o; OpenAI Livestream event; Sam Altman – “No Fixed Timeline for GPT5”; Apple Close to Agreement with OpenAI to Bring ChatGPT to iPhone; 🛠️ Anthropic’s new tool automates Sam Altman quashes search engine launch rumors iOS 18 iPhones may soon have ChatGPT
Rumor mill: OpenAI’s Monday reveal
OpenAI is set to demo new features and updates to ChatGPT and GPT-4 today at 10 AM PT, with new speculation including a ‘Her’ style voice assistant with both audio and visual capabilities.
- According to The Information, OpenAI’s demo will include a virtual assistant with visual AND audio understanding.
- The report also claims the new reveal might have the ability to make ‘existing voice assistants like Siri more useful.’
- CEO Sam Altman shot down rumors of a new search engine competitor and GPT-5, but said the reveal is something that ‘feels like magic’.
- Additional speculation includes the ability to initiate and receive phone calls inside of ChatGPT.
- Apple and OpenAI are also reportedly ‘closing in’ on a deal to incorporate ChatGPT into iOS 18.
OpenAI releases GPT-4o, a faster model that’s free for all
- OpenAI announced the launch of GPT-4o, an improved version of its GPT-4 model, promising faster performance and enhanced capabilities in text, vision, and audio.
- GPT-4o is freely available to all ChatGPT users, with paid users benefiting from up to five times the capacity limits of free users. In OpenAI’s API, GPT-4o is 50% faster than GPT-4 (specifically GPT-4 Turbo), 50% cheaper and has higher rate limits.
- The model is described as “natively multimodal,” capable of generating content or interpreting commands across voice, text, or images.
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Microsoft Places uses AI to find the best time for your next office day
- Microsoft has launched a new AI-powered app called Microsoft Places, designed to facilitate better in-office coordination for hybrid and flexible work setups by integrating with Microsoft 365.
- The app allows users to plan and share their office days, integrates location data into Outlook calendars for scheduling, and is set to include features in Microsoft Copilot for automated scheduling recommendations and adjustments.
- Microsoft Places will also offer a space analytics feature for real estate management, improve room booking capabilities in Outlook, and feed into Teams to enhance real-time location awareness among colleagues.
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Wikipedia’s new Chrome extension fact-checks the web with ChatGPT
- The Wikimedia Foundation has developed an experimental Chrome extension named “Citation Needed” that utilizes ChatGPT and Wikipedia to check the veracity of online content.
- By integrating ChatGPT, the extension cross-references user-selected text with Wikipedia entries and citations, offering feedback on the accuracy and reliability of the information.
- This initiative aims to gauge public interest in factual verification using Wikipedia, explore Wikipedia’s credibility as a source, and assess the potential of AI in enhancing content verification processes.
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🛠️ Anthropic’s new tool automates prompting
Anthropic just launched a new Prompt Generator tool for its business and API users, helping to automatically craft optimal prompts via natural language when completing tasks with its Claude models.
- The generator leverages advanced prompt techniques like chain-of-thought reasoning for more ‘effective, precise, and reliable’ outputs.
- Console users can also test prompt performance via dynamic variable insertion, optimizing prompts based on various situations.
- Anthropic released a Prompt Library earlier this year, featuring a range of optimized prompts that users can copy and paste.
While ‘Prompt Engineer’ was a popular term thrown around as a potential future job, the reality is that AI can help simplify the task with optimal prompts that it creates on its own. While Anthropic’s tool is only on the API side for now, it’s only a matter of time before similar features make their way to the full consumer side.
Sam Altman quashes search engine launch rumors
OpenAI’s CEO, Sam Altman, denied rumors of launching a search engine ahead of Google I/O, stating that the upcoming announcement is neither related to GPT-5 nor a search engine. He described the forthcoming revelation as something that “feels like magic.”
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However, there are reports that OpenAI is developing an AI voice assistant.
Why does this matter?
OpenAI has a track record of pushing the boundaries of AI capabilities, so any new development from them is likely to attract attention and disrupt the status quo.
As for reports of OpenAI entering into the voice assistant domain, if true, we might see OpenAI disrupt one more niche. With companies like Amazon (Alexa), Google (Google Assistant), and Apple (Siri) dominating the market, the competition might be stiff this time around.
iOS 18 iPhones may soon have ChatGPT
OpenAI will bring ChatGPT to iPhones. The integration is expected to happen with the upcoming iOS 18. This could significantly enhance the user experience and expand the capabilities of Apple’s virtual assistant, Siri.
Parallel to negotiations with OpenAI, the tech giant is also engaging with Google’s parent company, Alphabet, to integrate the Gemini chatbot into Apple’s devices. These ongoing talks, however, haven’t led to an agreement yet.
Why does this matter?
Integrating ChatGPT into iOS 18 iPhones could bolster Siri’s capabilities, offering users a more versatile AI assistant experience. With ChatGPT handling various queries directly within iOS, users won’t need to rely on third-party apps for assistance, streamlining their interactions and enhancing their overall experience.
SoftBank’s Arm Holdings all set to come up with AI chips in 2025
SoftBank’s subsidiary, Arm, plans to develop AI chips and launch them in 2025. Arm is establishing a dedicated AI chip division and targeting a prototype by spring 2025 and mass production by autumn. SoftBank will contribute to the initial cost of 10 trillion yen ($64 billion).
The AI chip business could be spun off to SoftBank. Negotiations with Taiwan Semiconductor Manufacturing Corp (TSMC) and others for production capacity are underway. The move reflects rising demand for AI chips, which has boosted Arm’s share price since its IPO in September.
Why does this matter?
As AI applications expand across industries, there’s a demand for efficient and optimized hardware solutions. Arm’s entry into the AI chip market could disrupt the current landscape dominated by companies like NVIDIA.
AI Tutorial: How to create realistic AI avatar videos
- Head over to HeyGen’s website and sign up for free.
- Click where it says ‘AI Studio’ on the left bar of the Dashboard.
- Choose a given template by selecting ‘Templates’ or create one from scratch by pressing ‘Create with AI Studio’.
- In the Studio, you can add and modify any part of your presentation. For example, you can add text and images, change the background, select an AI avatar and its voice, create a script using AI, and more.
- When your video is ready, press “Submit” and check out the final video!
AI Research: MIT studies AI deception capabilities
MIT researchers just published a new study detailing AI’s ability to engage in deceptive behaviors like lying, bluffing, and disguising true capabilities in testing.
- The analysis found numerous examples of AI deception, such as Meta’s Cicero Diplomacy bot telling premeditated lies to players.
- Other cases included negotiation systems misrepresenting preferences, AI bluffing in poker, and ‘playing dead’ to fool safety tests.
- Growing deceptive capabilities could influence societal dangers like election tampering, fraud, and general control over AI systems.
The combination of AI’s superhuman persuasiveness and the growing ability to engage in deception are a reminder of a potential dark side to the tech’s advancement. As these qualities emerge, the importance of reliably aligning and better understanding model behavior only grows.
New AI Job Opportunities on May 13th, 2024
- Perplexity AI – Engineering Manager
- xAI – Infrastructure – Software Engineer
- Scale AI – Events Coordinator
- Character AI – Software Engineer, Safety
What Else Is Happening on May 13th, 2024
Anthropic enables safe AI technology for kids
Anthropic now allows minors to use its generative AI systems through third-party apps. Developers must implement safety measures, including age verification and content moderation. It also plans to periodically audit these apps for compliance with child safety and data privacy regulations, including the Children’s Online Privacy Protection Act (COPPA). (Link)
SoundHound AI and Perplexity partner to enhance voice assistants for cars and IoT devices
Perplexity’s online LLM capabilities have been integrated into SoundHound’s Chat AI, enabling conversational responses with real-time knowledge sourced from the web. This collaboration aims to provide more accurate and comprehensive answers to user queries. (Link)
U.K. agency releases tools for testing AI model safety
The toolset, called Inspect, is an open-source platform that assists industry, research organizations, and academia in evaluating the capabilities of AI models, such as core knowledge and reasoning abilities. It aims to strengthen AI safety and is the first platform of its kind backed by a state-supported body. (Link)
IBM Open-Sources Granite Code Models for Easier Coding
IBM Research has recently released a family of Granite code models to the open-source community. These models aim to make coding easier for developers by assisting in writing, testing, debugging, and shipping reliable software. They find use in diverse scenarios, from application modernization to memory-constrained environments like IBM’s WCA for Z. Performance evaluations show superiority over alternatives like Mistral-7B and LLama-3-8B. (Link)
Hong Kong University brings Albert Einstein to life using AI as a virtual lecturer
The Hong Kong University of Science and Technology (HKUST) is experimenting with AI-generated lecturers, featuring personalities like Albert Einstein and even popular anime characters. The goal is to address the global teacher shortage while embracing AI’s transformative power in education. (Link)
🧠 Google’s new Med-Gemini-3D model can read 3D scans like head CTs, answer questions about them, and even write radiology reports.
Google Health’s Med-Gemini-2D model demonstrates improved performance in writing chest X-ray radiology reports, exceeding previous state-of-the-art results by up to 12%.
🔬 They explore capabilities across 2D medical images, including X-rays, histopathology slides, and dermatology photos.
🔮 Med-Gemini-Polygenic is Google’s Health first language model capable of predicting health outcomes based on genomic data.
Importantly, their models are trained using free text reports that are freely available for most medical imaging, almost eliminating the need for costly expert labelling. We hope this will make it easier, faster, cheaper to train high-quality medical AI models in the future than has been possible in the past.
Google believe this research is a promising step forward in the field of medical AI – the ability to interpret complex multimodal medical data is a crucial step toward enabling high quality personalised care at scale. Of course, these are early results, and further research is required before safe clinical use – if you’re interested in joining us on this journey, please get in touch by filling in the form here: https://shorturl.at/aejpE
Full paper at https://arxiv.org/abs/2405.03162- we hope you enjoy it.
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More on today’s OpenAI Announcement (ChatGPT-4o)
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New model. It’s called GPT-4o (terrible name) and has GPT-4-level intelligence. It’s 2x faster. 50% cheaper. 5x higher rate limits (compared to GPT-4-Turbo).
💡 What everyone is focused on: it’s cheaper! And faster! And with API access!
👀 What I am focused on: free users just got a mega performance boost which will likely reduce churn and the model architecture is a WINNER and worthy of attention – they went from three models to one; according to Andrej Karpathy, former OpenAI, they have built a “combined text-audio-vision model that processes all three modalities in one single neural network.”
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GPTs for all. Now every user, even free users, can access the “mini task bot” GPTs.
💡 What everyone is focused on: yay now everyone can use the GPT I built!
👀 What I am focused on: completely new user base, tens of millions new users testing and breaking capabilities
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More Voice. Now way more real-time (previously there was a 2-3 second lag). You can interrupt it mid-sentence. The voice assistant “picks up on emotion” (like fast breathing). I hate that phrase and would rather call it speech nuances. Fast multi-language translation. Performance improved for 50 languages (97% of the world’s population).
💡 What everyone is focused on: wow it sounds like Scarlett Johansson!
👀 What I am focused on: I’m already talking to ChatGPT Voice every morning. This is going to massively increase voice-first experiences. I think office spaces need to think about this asap. Think about the acoustics and EVERYONE talking to an AI assistant at once. It’s already an issue on my team.
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Vision on desktop. Now the desktop version can “see” your screen—only when you permission it to, not all the time. Sort of like generative AI alt text + chat. So you can ask it to describe a graph on your screen or presumably ask it questions about an article on your screen without a big lift.
💡 What everyone is focused on: lots of privacy concerns (I agree) and why do we need voice for code
👀 What I am focused on: HOLY MOLY THIS IS THE WINNING FEATURE. It’s basically a coworker on screen share with you 24/7, with no fatigue. I can imagine people working for hours straight with this on.
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Rollouts over the next few weeks.
If you like voice features (like talking to Siri but smarter), upgrade to Plus when it releases.
♻️ repost so others are in the know
🤖 follow Allie K. Miller to stay on top of AI
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A Daily chronicle of AI Innovations May 11th 2024: Weekly Summary – DrEureka can automate robot training using LLMs
Free AI model rivals GPT-4 in language model evaluation
X introduces Stories feature powered by Grok AI
Apple is developing its own AI chip for data center servers
Stack Overflow and OpenAI have announced an API partnership
Microsoft is developing a new AI language model
OpenAI’s new tool detects 98% DALL-E 3 generated images
Meta expands AI-powered creativity tools for advertisers
OpenAI’s ‘Media Manager’ will let creators opt out of AI training
Microsoft developed a secretive AI service for US spies
Goole DeepMicrosoft and Isomorphic Labs introduce AlphaFold 3
Microsoft-LinkedIn study reveals rapid AI adoption in workplace & hiring
Stability AI launches Stable Artisan, a Discord bot for image & video
ElevenLabs develops an AI model to generate song lyrics
DrEureka can automate robot training using LLMs
In robotics, one of the biggest challenges is transferring skills learned in simulation to real-world environments. NVIDIA researchers have developed a groundbreaking algorithm called DrEureka that uses LLMs to automate the design of reward functions and domain randomization parameters—key components in the sim-to-real transfer process.
The algorithm works in three stages: first, it creates reward functions with built-in safety instructions; then, it runs simulations to determine the best range of physics parameters; finally, it generates domain randomization configurations based on the data gathered in the previous stages.
When tested on various robots, including quadrupeds and dexterous manipulators, DrEureka-trained policies outperformed those designed by human experts.
Free AI model rivals GPT-4 in language model evaluation
Prometheus 2, a free and open-source language model developed by KAIST AI, has shown impressive capabilities in evaluating other language models, approaching the performance of commercial models like GPT-4.
The model was trained on a new pairwise comparison dataset called the “Preference Collection,” which includes over 1,000 evaluation criteria beyond basic characteristics. By combining two separate models – one for direct ratings and another for pairwise comparisons – the researchers achieved the best results.
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In tests across eight datasets, Prometheus 2 showed the highest agreement with human judgments and commercial language models among all freely available rating models, significantly closing the gap with proprietary models.
X introduces Stories feature powered by Grok AI
X (formerly Twitter) has launched a new feature, Stories, that provides AI-generated summaries of trending news on the platform. Powered by Elon Musk’s chatbot Grok, Stories offers Premium subscribers brief overviews of the most popular posts and conversations happening on X.
With Stories, users can quickly catch up on the day’s trending topics without having to scroll through countless posts. Grok generates these summaries based solely on the conversations happening on X about each news story rather than analyzing the original news articles themselves. While this approach is controversial, X believes it will pique users’ curiosity and potentially drive them deeper into the source material.
Apple is developing its own AI chip for data center servers
Apple is developing its own AI chip for data center servers, known internally as Project ACDC (Apple Chips in Data Center). The chip will likely focus on running AI models (inference) rather than training them, which is where Nvidia currently dominates.
The company is working closely with TSMC (Taiwan Semiconductor Manufacturing Co) to design and produce these chips, although the timeline for launch is uncertain. With this move, the company aims to keep up with rivals like Microsoft and Meta, who have made significant investments in generative AI.
Stack Overflow and OpenAI have announced an API partnership
OpenAI will use OverflowAPI to improve model performance and provide attribution to the Stack Overflow community within ChatGPT. Stack Overflow will use OpenAI models to develop OverflowAI and to maximize model performance.
The partnership aims to improve the user and developer experience on both platforms. The first set of integrations and capabilities will be available in the first half of 2024, and the partnership will enable Stack Overflow to reinvest in community-driven features.
Microsoft is developing a new AI language model
Microsoft is developing a new, large-scale AI language model called MAI-1 to compete with Google and OpenAI. The model is overseen by Mustafa Suleyman, recently hired co-founder of Google DeepMind.
MAI-1 will be larger and more expensive than Microsoft’s previous smaller, open-source models, with roughly 500 billion parameters. Microsoft could preview the new model as soon as its Build developer conference later this month.
OpenAI’s new tool detects 98% DALL-E 3 generated images
OpenAI has developed a new tool to detect if an image was created by DALL-E 3, its AI image generator. The tool can detect DALL-E 3 images with around 98% accuracy, even if the image has been cropped, compressed, or had its saturation changed. However, the tool is not as effective at detecting images generated by other AI models, only flagging 5-10% of images.
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This image detection classifier is only available to a group of testers, including research labs and research-oriented journalism nonprofits through OpenAI’s Research Access Program.
OpenAI has also added watermarking to Voice Engine, its text-to-speech platform, which is currently in limited research preview.
Meta expands AI-powered creativity tools for advertisers
Meta has expanded its generative AI tools for advertisers. Advertisers can request AI to generate entirely new images, including product variations in different colors, angles, and scenarios. The AI tools can add text overlays with different fonts, expand images to fit different aspect ratios like Reels and Feed, and generate ad headlines that match the brand’s voice.
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The AI features will roll out globally to advertisers by the end of 2024.
Meta is also expanding its paid Meta Verified service for businesses to more countries. Different pricing tiers offer features like account support, profile enhancements, and better customer service access.
OpenAI’s ‘Media Manager’ will let creators opt out of AI training
OpenAI is developing Media Manager, a tool that will enable creators and content owners to decide what they own and specify how they want their works to be included or excluded from machine learning research and training. This first-ever tool of its kind will help OpenAI identify copyrighted text, images, audio, and video across multiple sources and reflect creator preferences.
OpenAI aims to have the tool in place by 2025 and set a standard across the AI industry with it.
A Daily chronicle of AI Innovations May 10th 2024: 💥 OpenAI to unveil Google competitor on Monday 🎵 ElevenLabs unveils new AI music generator 🇺🇸 US lawmakers unveil bill to make it easier to restrict exports of AI models 📈 AI demand soars in the workplace 🤖 Stability AI introduces AI bot for Discord users 🎤 ElevenLabs debuts AI model for generating lyrics 💰 Anthropic CEO defends dual funding from Google and Amazon 🎥 Krea AI introduces video generation for paid subscribers 🎥 Synthflow launches AI voice agent teams for streamlined customer support
OpenAI to unveil Google competitor on Monday
- OpenAI is reportedly set to launch an AI-powered search product on Monday, strategically timed just before Google’s annual I/O conference.
- This new AI search tool from OpenAI may be integrated with its ChatGPT chatbot and feature enhancements such as internet search capabilities and possibly Bing integration, building on the foundation laid by previous versions of ChatGPT.
- Amidst Google’s ongoing challenges, including an antitrust case and competition from other AI startups like Perplexity, OpenAI’s move is seen as a significant threat to Google’s longstanding dominance in the search industry.
- Source
ElevenLabs unveils new AI music generator
- ElevenLabs, a voice AI startup, has debuted a new model that creates songs from user prompts, leveraging its expertise in voice cloning and synthesis.
- The company is showcasing this new capability by transforming user-generated ideas into music, akin to Microsoft’s strategy with its AI chatbot Copilot, and is exploring its application in areas like lullabies, jingles, and podcast intros.
- While the AI music generation sector is growing, with ElevenLabs planning a marketplace for AI-generated songs, there are rising concerns about copyright infringement and the impact on artists’ jobs.
US lawmakers unveil bill to make it easier to restrict exports of AI models
- US lawmakers introduced a bipartisan bill aimed at making it easier for the Biden administration to impose export controls on AI models to protect against foreign threats.
- The proposed legislation would allow the Commerce Department to prevent Americans from collaborating with foreign entities on AI developments that could endanger U.S. national security.
- The bill seeks to overcome legal obstacles that currently make it difficult to regulate the export of open source AI models, amidst concerns over their misuse for cyber attacks or creating biological weapons.
AI demand soars in the workplace
Microsoft and LinkedIn have published their ‘2024 Work Trend Index Annual Report’, revealing the rapid adoption of AI tools by employees, with 75% of knowledge workers using AI and nearly half starting within the last six months.
Here are the key points:
- 78% of AI users are bringing their own AI tools to work, with 52% reluctant to use them for their important tasks.
- 66% of leaders say they wouldn’t hire someone without AI skills, and 71% prefer less experienced candidates with AI skills over more experienced ones without.
- Power users who use AI extensively are reaping benefits in productivity, creativity, and job satisfaction.
- Skills are projected to change by 68% by 2030, accelerated by generative AI.
Why does this matter?
The study serves as a wake-up call for organizations to move beyond experimentation and develop comprehensive strategies for AI implementation. As AI permeates all sectors, generations, and skill sets, early adopters will likely emerge as the leaders, while those hesitant to explore could risk falling behind.
Stability AI introduces AI bot for Discord users
Stability AI has launched Stable Artisan, a multimodal-gen AI Discord bot that enables users to create images and videos using the Stable Diffusion 3 (SD3) and Stable Video Diffusion (SVD) models.
https://youtu.be/MWfb30kWqTM?si=_TePwQX1A8xEj3hU
Stable Artisan incorporates several editing and customization features, including Search and Replace, Remove Background, Creative Upscale, Outpaint, Control Sketch, and Control Structure. The service is available through a paid subscription, with monthly plans ranging from $9 to $99, and a 3-day free trial.
Stability AI is also working on a larger conversational chatbot called Stable Assistant, which will incorporate the company’s text-to-image and LLM technologies to assist users with various tasks through natural language conversations. While Stable Artisan currently does not include access to Stable Audio, Stable Code, or Stable LM, these features may be added in the future as the service continues to evolve.
Why does this matter?
Stable Artisan could empower creators lacking experience with complex AI models to generate high-quality content directly within their familiar Discord environment.
However, the paid subscription model could limit access, and the missing features hint at a future with a complete AI creative suite.
https://stability.ai/news/stable-artisan
ElevenLabs debuts AI model for generating lyrics
ElevenLabs, a company that specializes in AI-powered voice cloning and synthesis, has revealed a new model that creates song lyrics based on user prompts.
With this new model, ElevenLabs aims to impact the music industry by allowing users to generate custom lullabies, jingles, podcast intros, and potentially even popular songs. The company also plans to launch a marketplace where users can sell their AI-generated music.
While ElevenLabs has not yet shared details about the maximum length of songs the AI can generate, an example posted by the company’s Head of Design suggests that it will likely produce lyrics for a standard three-minute song.
Why does this matter?
This AI tool has the potential to democratize songwriting, allowing even those without musical expertise to craft lyrics. This could be particularly impactful for budget-conscious creators or those with specific lyrical needs. However, it remains to be seen if it will integrate with composing melodies like Udio or Suno, which offer a more complete song creation experience.
Also, the AI lyrics’ originality and the tool’s training data on copyrighted music might raise uncertainties.
What Else Is Happening in AI on May 10th 2024
TikTok introduces “AI-generated” labels for third-party content
TikTok will automatically label AI-generated content on its platform and on third-party platforms, becoming the first social media platform to support Content Credentials metadata for AI transparency. (Link)
Anthropic CEO defends dual funding from Google and Amazon
Anthropic’s CEO says partnering with Google and Amazon ensures more independence than OpenAI’s Microsoft reliance. However, regulators are examining the impact on AI competition as Anthropic’s future training costs could reach $100 billion. (Link)
Krea AI introduces video generation for paid subscribers
Krea AI, a generative AI startup, has launched video generation capabilities for its highest-tier subscribers. The new feature allows users to create videos using a combination of key frame images and text prompts, with a timeline-based interface reminiscent of traditional video editing software. (Link)
Synthflow launches AI voice agent teams for streamlined customer support
Synthflow launches “Conversational AI Teams,” a feature that allows businesses to create multiple AI voice assistants to interact with customers and each other, all through a single phone number. These intelligent agents can handle tasks like scheduling, updating CRMs, and more, providing a seamless and efficient customer support experience. (Link)
AI TRAINING: Add shortcuts using ChatGPT’s Memory
A lesser-known feature of ChatGPT’s new Memory feature is that it can be programmed to store shortcuts, which can save you a lot of time in chat conversations when used effectively.
- Go to ChatGPT’s website. You’ll need to have a Plus subscription to access Memory.
- Click on your account name (bottom-left), select ‘Settings’, ‘Personalization’, and enable ‘Memory’.
- Teach ChatGPT a list of shortcuts by adding: “Store in your memory that when I start a prompt using: ‘!si’ means that I want you to search on the Internet; ‘!ci’ means that I want you to create an image; and !da’ means that I want you to use your Advanced Data Analysis feature”
- That’s it! Try the shortcuts in your conversations and let us know how much time you save
AI RESEARCH: Llama-3 goes head-to-head with GPT-4
Lmsys just published a new deep dive into its Chatbot Arena data, comparing Meta’s open-source Llama 3 70B model against top models like GPT-4 — revealing surprising strengths in the open-source leader.
- Llama-3 is the top open-source model on the Lmsys Leaderboard, featuring over 70,000 votes from users in Arena Battle testing.
- Meta’s model shines in battles involving brainstorming and writing prompts, falling short in math, coding, and translation compared to top competitors.
- Lmsys noted Llama-3’s tone is friendlier and more conversational than rivals, which the model exhibits in its victorious battles in the Arena.
Llama-3’s ability to compete with top-tier models in certain areas is a testament to the rapid progress of open-source — and that’s with Meta’s largest model still pending. The more granular comparison also provides useful details often lost in more general model benchmarking.
New AI Job Opportunities on May 10th 2024
- Adaptive ML – Developer Advocate
- Scale AI – Solutions Engineer
- Anthropic – Research Engineer, Human Computer Interfaces
- OpenAI – Insider Risk Investigato
A Daily chronicle of AI Innovations May 09th 2024: 
OpenAI to unveil Google competitor on Monday ElevenLabs unveils new AI music generator US lawmakers unveil bill to make it easier to restrict exports of AI models AI demand soars in the workplace Stability AI introduces AI bot for Discord users 
ElevenLabs debuts AI model for generating lyrics
US lawmakers unveil bill to make it easier to restrict exports of AI models OpenAI to unveil Google competitor on Monday
- OpenAI is reportedly set to launch an AI-powered search product on Monday, strategically timed just before Google’s annual I/O conference.
- This new AI search tool from OpenAI may be integrated with its ChatGPT chatbot and feature enhancements such as internet search capabilities and possibly Bing integration, building on the foundation laid by previous versions of ChatGPT.
- Amidst Google’s ongoing challenges, including an antitrust case and competition from other AI startups like Perplexity, OpenAI’s move is seen as a significant threat to Google’s longstanding dominance in the search industry.
- Source
ElevenLabs unveils new AI music generator
- ElevenLabs, a voice AI startup, has debuted a new model that creates songs from user prompts, leveraging its expertise in voice cloning and synthesis.
- The company is showcasing this new capability by transforming user-generated ideas into music, akin to Microsoft’s strategy with its AI chatbot Copilot, and is exploring its application in areas like lullabies, jingles, and podcast intros.
- While the AI music generation sector is growing, with ElevenLabs planning a marketplace for AI-generated songs, there are rising concerns about copyright infringement and the impact on artists’ jobs.
US lawmakers unveil bill to make it easier to restrict exports of AI models
- US lawmakers introduced a bipartisan bill aimed at making it easier for the Biden administration to impose export controls on AI models to protect against foreign threats.
- The proposed legislation would allow the Commerce Department to prevent Americans from collaborating with foreign entities on AI developments that could endanger U.S. national security.
- The bill seeks to overcome legal obstacles that currently make it difficult to regulate the export of open source AI models, amidst concerns over their misuse for cyber attacks or creating biological weapons.
AI demand soars in the workplace
Microsoft and LinkedIn have published their ‘2024 Work Trend Index Annual Report’, revealing the rapid adoption of AI tools by employees, with 75% of knowledge workers using AI and nearly half starting within the last six months.
Here are the key points:
- 78% of AI users are bringing their own AI tools to work, with 52% reluctant to use them for their important tasks.
- 66% of leaders say they wouldn’t hire someone without AI skills, and 71% prefer less experienced candidates with AI skills over more experienced ones without.
- Power users who use AI extensively are reaping benefits in productivity, creativity, and job satisfaction.
- Skills are projected to change by 68% by 2030, accelerated by generative AI.
Why does this matter?
The study serves as a wake-up call for organizations to move beyond experimentation and develop comprehensive strategies for AI implementation. As AI permeates all sectors, generations, and skill sets, early adopters will likely emerge as the leaders, while those hesitant to explore could risk falling behind.
Stability AI introduces AI bot for Discord users
Stability AI has launched Stable Artisan, a multimodal-gen AI Discord bot that enables users to create images and videos using the Stable Diffusion 3 (SD3) and Stable Video Diffusion (SVD) models.
https://youtu.be/MWfb30kWqTM?si=_TePwQX1A8xEj3hU
Stable Artisan incorporates several editing and customization features, including Search and Replace, Remove Background, Creative Upscale, Outpaint, Control Sketch, and Control Structure. The service is available through a paid subscription, with monthly plans ranging from $9 to $99, and a 3-day free trial.
Stability AI is also working on a larger conversational chatbot called Stable Assistant, which will incorporate the company’s text-to-image and LLM technologies to assist users with various tasks through natural language conversations. While Stable Artisan currently does not include access to Stable Audio, Stable Code, or Stable LM, these features may be added in the future as the service continues to evolve.
Why does this matter?
Stable Artisan could empower creators lacking experience with complex AI models to generate high-quality content directly within their familiar Discord environment.
However, the paid subscription model could limit access, and the missing features hint at a future with a complete AI creative suite.
https://stability.ai/news/stable-artisan
ElevenLabs debuts AI model for generating lyrics
ElevenLabs, a company that specializes in AI-powered voice cloning and synthesis, has revealed a new model that creates song lyrics based on user prompts.
With this new model, ElevenLabs aims to impact the music industry by allowing users to generate custom lullabies, jingles, podcast intros, and potentially even popular songs. The company also plans to launch a marketplace where users can sell their AI-generated music.
While ElevenLabs has not yet shared details about the maximum length of songs the AI can generate, an example posted by the company’s Head of Design suggests that it will likely produce lyrics for a standard three-minute song.
Why does this matter?
This AI tool has the potential to democratize songwriting, allowing even those without musical expertise to craft lyrics. This could be particularly impactful for budget-conscious creators or those with specific lyrical needs. However, it remains to be seen if it will integrate with composing melodies like Udio or Suno, which offer a more complete song creation experience.
Also, the AI lyrics’ originality and the tool’s training data on copyrighted music might raise uncertainties.
What Else Is Happening in AI on May 10th 2024
TikTok introduces “AI-generated” labels for third-party content
TikTok will automatically label AI-generated content on its platform and on third-party platforms, becoming the first social media platform to support Content Credentials metadata for AI transparency. (Link)
Anthropic CEO defends dual funding from Google and Amazon
Anthropic’s CEO says partnering with Google and Amazon ensures more independence than OpenAI’s Microsoft reliance. However, regulators are examining the impact on AI competition as Anthropic’s future training costs could reach $100 billion. (Link)
Krea AI introduces video generation for paid subscribers
Krea AI, a generative AI startup, has launched video generation capabilities for its highest-tier subscribers. The new feature allows users to create videos using a combination of key frame images and text prompts, with a timeline-based interface reminiscent of traditional video editing software. (Link)
Synthflow launches AI voice agent teams for streamlined customer support
Synthflow launches “Conversational AI Teams,” a feature that allows businesses to create multiple AI voice assistants to interact with customers and each other, all through a single phone number. These intelligent agents can handle tasks like scheduling, updating CRMs, and more, providing a seamless and efficient customer support experience. (Link)
AI TRAINING: Add shortcuts using ChatGPT’s Memory
A lesser-known feature of ChatGPT’s new Memory feature is that it can be programmed to store shortcuts, which can save you a lot of time in chat conversations when used effectively.
- Go to ChatGPT’s website. You’ll need to have a Plus subscription to access Memory.
- Click on your account name (bottom-left), select ‘Settings’, ‘Personalization’, and enable ‘Memory’.
- Teach ChatGPT a list of shortcuts by adding: “Store in your memory that when I start a prompt using: ‘!si’ means that I want you to search on the Internet; ‘!ci’ means that I want you to create an image; and !da’ means that I want you to use your Advanced Data Analysis feature”
- That’s it! Try the shortcuts in your conversations and let us know how much time you save
AI RESEARCH: Llama-3 goes head-to-head with GPT-4
Lmsys just published a new deep dive into its Chatbot Arena data, comparing Meta’s open-source Llama 3 70B model against top models like GPT-4 — revealing surprising strengths in the open-source leader.
- Llama-3 is the top open-source model on the Lmsys Leaderboard, featuring over 70,000 votes from users in Arena Battle testing.
- Meta’s model shines in battles involving brainstorming and writing prompts, falling short in math, coding, and translation compared to top competitors.
- Lmsys noted Llama-3’s tone is friendlier and more conversational than rivals, which the model exhibits in its victorious battles in the Arena.
Llama-3’s ability to compete with top-tier models in certain areas is a testament to the rapid progress of open-source — and that’s with Meta’s largest model still pending. The more granular comparison also provides useful details often lost in more general model benchmarking.
New AI Job Opportunities on May 10th 2024
- Adaptive ML – Developer Advocate
- Scale AI – Solutions Engineer
- Anthropic – Research Engineer, Human Computer Interfaces
- OpenAI – Insider Risk Investigator
A Daily chronicle of AI Innovations May 09th 2024: OpenAI posts Model Spec revealing how it wants AI to behave Google DeepMind unveils AlphaFold 3, the next generation of its protein prediction model Neuralink faces setback as first human brain implant encounters problem Microsoft developed a secretive AI service for US spies Generate images on Midjourney Alpha Copilot for Microsoft 365 to get auto-complete and rewrite to improve prompts New AI data center to be built at the failed Foxconn project site in Wisconsin Sam Altman says we are not taking AI’s impact on the economy seriously Typeface Arc replaces prompts; uses AI agent approach to ease marketing workflows Altera’s gaming AI agents get backed by Eric Schmidt, Former Google CEO
OpenAI posts Model Spec revealing how it wants AI to behave
- OpenAI has introduced the first draft of Model Spec, a proposed framework aiming to shape how AI models respond, emphasizing assistance, humanity’s benefit, and adherence to social norms and laws.
- The framework suggests specific rules for AI behavior, including compliance with laws, protection of privacy, and avoidance of NSFW content, with options to adjust settings like allowing NSFW content in certain contexts.
- While the Model Spec seeks public feedback for future adjustments and doesn’t immediately affect existing models like GPT-4 or DALL-E 3, it’s envisioned as a living document to guide AI behavior improvement over time.
- Source
Google DeepMind unveils AlphaFold 3, the next generation of its protein prediction model
- Google DeepMind and Isomorphic Labs have released AlphaFold 3, a new AI model for predicting protein structures, including their interactions with various molecules such as DNA, RNA, and small molecules, thereby enhancing drug discovery possibilities.
- This new version is more precise in mapping out complex groupings of molecules, significantly enhancing our ability to understand and predict molecular behavior compared to its earlier version.
- Google will not open-source this version but has launched AlphaFold Server for non-commercial research use, aiming to balance intellectual property concerns with accessibility for scientific progress.
- Source
Neuralink faces setback as first human brain implant encounters problem
- Neuralink admitted that some of the micro-thin threads from their N1 brain chip retracted after implantation in the first human patient, possibly due to air trapped in the skull during surgery, which affected the device’s data transmission rate.
- Despite the retraction of several threads, Neuralink managed to increase the data transmission speed over time by optimizing their recording algorithm and improving signal translation into cursor movements.
- The company is planning further implants, with goals to implant two more patients in the coming months and ten in total this year, while continuing to refine their technology and reporting developments to the FDA.
- Source
Microsoft developed a secretive AI service for US spies
Microsoft has developed a top-secret generative AI model entirely disconnected from the internet so US intelligence agencies can safely harness the powerful technology to analyze top-secret info. The model based on GPT-4 is now live, answering questions, and will also write code.
Microsoft spent 18 months developing the model, which is “air-gapped” to ensure it is secure. This is the first time a model is fully isolated– meaning it’s not connected to the internet but is on a special network that’s only accessible by the U.S. government.
It can read and analyze files but cannot learn from them to stop sensitive information from entering the platform. It is yet to be tested and accredited by the intelligence agencies.
Why does this matter?
Intelligence agencies all over the world have been racing to be the first to harness generative AI. I guess we know who’s going to be the winner. If this AI tool is successful, it will fundamentally change the way intelligence agencies operate.
What Else Is Happening in AI on May 09th 2024
Copilot for Microsoft 365 to get auto-complete and rewrite to improve prompts
In coming months, Microsoft Copilot will be updated with new features like auto-complete and ‘elaborate your prompt’ that offer suggestions to improve AI prompts. It aims to solve the problem of coming up with good prompts for generative AI. (Link)
New AI data center to be built at the failed Foxconn project site in Wisconsin
President Joe Biden announced an AI data center to be built on the same site as the failed Foxconn project in Racine, Wisconsin. According to a White House press release, Microsoft is investing $3.3B in the project, creating up to 2,000 permanent jobs. (Link)
Sam Altman says we are not taking AI’s impact on the economy seriously
At a Brooking’s Institute panel about AI and geopolitics on Tuesday, Altman said the discussions around AI’s effect on the economy– like how it may lead to mass job replacement– died down this year compared to last. He said if we don’t take these concerns seriously enough going forward, it could be a massive issue. (Link)
Typeface Arc replaces prompts; uses AI agent approach to ease marketing workflows
It is launching Typeface Arc technology, which enables a user to state a high-level marketing objective and then have the system automatically plan and generate all the assets, including emails, images, and notifications that are all connected. (Link)
Altera’s gaming AI agents get backed by Eric Schmidt, Former Google CEO
Altera is the newest startup joining the fray to build a new guard of AI agents. It raised $9 million in an oversubscribed seed round, co-led by Eric Schmidt’s deep-tech fund, First Spark Ventures and Patron, the seed-stage fund co-founded by Riot Games alums. (Link)
AI TRAINING May 09th 2024
Generate images on Midjourney Alpha
Midjourney’s website is now accessible to anyone with more than 100 generated images, improving the experience when prompting images over its standard Discord group.
- Check that you’ve generated more than 100 images by typing /info in the Midjourney Discord group. If you have, head over to Midjourney Alpha.
- In the main menu, you can explore other creations and search prompts.
- Select where it says “imagine” and enter your prompt to generate an image.
- Add a reference image by selecting “+” or play with different parameters such as image size, stylization, or even weirdness by pressing the “slider control” button
AI RESEARCH on May 09th 2024
AI usage surges in the workplace
Microsoft and LinkedIn just published their Work Trend Index Annual Report, revealing that AI adoption is surging in the workplace — calling 2024 the ‘year AI at work gets real’.
- The report found that use of GenAI has doubled in the last six months, with 75% of knowledge workers using the tech in some capacity.
- 78% of AI users are bringing their own AI to work — with 52% reporting they are reluctant to admit to its use.
- 66% of leaders wouldn’t hire someone without AI skills, and 71% prefer less experienced candidates with AI aptitude over a more experienced one without it.
- AI power users reported enhanced productivity, creativity, and job satisfaction compared to skeptical peers.
Why it matters: Employees are adopting AI at a rapid pace, regardless of if their own organizations are ready for the shift. As AI spreads across all sectors, generations, and skillsets, the early adopters are rising to the top — while those that aren’t at least exploring the tech are quickly running out of time
Trending AI Tools May 09th 2024
GeoSpy – Uncover photo locations with AI
LangChain – Connect LLMs to private data for context-aware applications- Abstra – Scale business processes with Python and AI
- Freepik Pikaso Upscaler – Integrated with Magnific, enlarge images without losing quality
- Notion AI Q&A – Q&A is now open to the public, allowing users to ask and find information across their workspace
- Udio Audio Inpainting – Select a portion of an AI-generated music track and regenerate it
New AI Job Opportunities on May 09th 2024
- The Rundown – Video Content Creator
- Anthropic – Research Engineer, Human-Computer Interfaces
Adept AI – Solutions Engineer- Mistral AI – Data Annotation Technical Program Manager
A Daily chronicle of AI Innovations May 08th 2024: 
Google built medical AI that can train itself and outperform real doctors Microsoft launches AI chatbot for spies OpenAI’s new tool detects 98% DALL-E 3 generated images Meta expands AI-powered creativity tools for advertisers OpenAI’s ‘Media Manager’ will let creators opt out of AI training Apple releases M4 chip at the ‘Let Loose’ event with powerful AI capabilities OpenAI strikes licensing deal with People magazine publisher Amazon announces Bedrock Studio to simplify Gen AI app development Oracle introduces Code Assistant to accelerate enterprise software development Red Hat launches RHEL AI and InstructLab to democratize enterprise AI 
Apple unveils iPad AI upgrades
Google built medical AI that can train itself and outperform real doctors
- Google’s DeepMind has developed Med-Gemini, a self-training medical AI that outperforms doctors in accuracy, achieving a 91.1% score on medical benchmarks.
- Med-Gemini uses an uncertainty-guided search functionality and has bested GPT-4 models and actual doctors on 10 out of 14 medical benchmarks.
- Despite its capabilities, Google’s medical AI aims to assist rather than replace doctors, helping to alleviate their workload.
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Microsoft launches AI chatbot for spies
- Microsoft has launched a GPT-4-based generative AI model tailored for US intelligence agencies that operates offline to analyze top-secret information securely.
- The AI chatbot aims to facilitate secure conversations among spy agencies without the internet, addressing data breach and hacking concerns.
- This initiative represents Microsoft’s first deployment of a major language model in a high-security environment, with a focus on mitigating the risks of data leaks while processing classified data
- Source
OpenAI’s new tool detects 98% DALL-E 3 generated images
OpenAI has developed a new tool to detect if an image was created by DALL-E 3, its AI image generator. The tool can detect DALL-E 3 images with around 98% accuracy, even if the image has been cropped, compressed, or had its saturation changed. However, the tool is not as effective at detecting images generated by other AI models, only flagging 5-10% of images.
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This image detection classifier is only available to a group of testers, including research labs and research-oriented journalism nonprofits through OpenAI’s Research Access Program.
OpenAI has also added watermarking to Voice Engine, its text-to-speech platform, which is currently in limited research preview.
Why does it matter?
Early experiences have shown that AI detectors don’t work. In fact, if they have high error rates, they could lead to false accusations. In 2023, OpenAI had to shut down its own AI detection software for text because of its poor accuracy.
So, if this detector is as good as OpenAI claims, we may be on the precipice of a revolutionary new capability to reliably detect AI-generated content, with huge implications across domains.
Meta expands AI-powered creativity tools for advertisers
Meta has expanded its generative AI tools for advertisers. Advertisers can request AI to generate entirely new images, including product variations in different colors, angles, and scenarios. The AI tools can add text overlays with different fonts, expand images to fit different aspect ratios like Reels and Feed, and generate ad headlines that match the brand’s voice.
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The AI features will roll out globally to advertisers by the end of 2024.
Meta is also expanding its paid Meta Verified service for businesses to more countries. Different pricing tiers offer features like account support, profile enhancements, and better customer service access.
Why does it matter?
Integrating such powerful AI features could lead to more effective advertising campaigns and improved customer engagement with targeted marketing and personalized ads. However, it could also raise questions about transparency and potential misuse.
OpenAI’s ‘Media Manager’ will let creators opt out of AI training
OpenAI is developing Media Manager, a tool that will enable creators and content owners to decide what they own and specify how they want their works to be included or excluded from machine learning research and training. This first-ever tool of its kind will help OpenAI identify copyrighted text, images, audio, and video across multiple sources and reflect creator preferences.
OpenAI aims to have the tool in place by 2025 and set a standard across the AI industry with it.
Why does it matter?
Media Manager seems to be OpenAI’s response to growing criticism of its approach to developing AI models, which heavily scraps publicly available data from the web for training. Recently, 8 prominent U.S. newspapers sued OpenAI for copyright infringement.
On the other hand, OpenAI has formed mutually beneficial partnerships with platforms like Stack Overflow, Shutterstock, The Financial Times, and more to use their content.
So, OpenAI may be trying to meet creators in the middle, but if it is positioning itself as a fully ethical actor with this, we’ll take it with a grain of salt.
Apple unveils iPad AI upgrades
Apple just revealed its new line of iPads at a company event in Cupertino, CA — featuring a custom M4 chip that enables advanced AI capabilities and a slew of new AI-powered features.
- The bigger iPad Pro now features the M4 chip with an upgraded Neural Engine, which CEO Tim Cook calls “an outrageously powerful chip for AI”.
- The M4 is capable of handling 38T operations per second, 4x the performance of previous models, allowing for the running of advanced AI.
- New AI features on the Pro include a True Tone Flash for document scanning and new video, image, and music editing tools.
- Prior to the event, a new report revealed that Apple is developing its own AI chips for data centers under the code name “Project ACDC”.
What Else Is Happening in AI on May 08th 2024
Apple releases M4 chip at the ‘Let Loose’ event with powerful AI capabilities
Apple released its much-anticipated M4 chip at the “Let Loose” event. M4 is slated to spearhead Apple’s next generation of devices, with the iPad Pro leading the charge and powering the forthcoming OLED iPad Pro which is meticulously engineered to elevate the user experience to unprecedented heights. (Link)
OpenAI strikes licensing deal with People magazine publisher
OpenAI has inked a licensing deal with Dotdash Meredith to bring the People magazine publisher’s content to ChatGPT and help train it’s AI models. Under the partnership, OpenAI will be able to display lifestyle and entertainment content in its chatbot from the many websites of one of the US’s largest digital and print publishers. (Link)
Amazon announces Bedrock Studio to simplify Gen AI app development
Amazon is launching a new tool, Bedrock Studio, designed to let organizations experiment with generative AI models, collaborate on those models, and ultimately build generative AI-powered apps. Bedrock Studio is a “rapid prototyping environment” for generative AI. It also guides developers in evaluating, analyzing, fine-tuning, and sharing generative AI models. (Link)
Oracle introduces Code Assitant to accelerate enterprise software development
Oracle has announced Code Assitant, an AI-powered service to help developers rapidly program apps based on Java, SQL, and the Oracle Cloud infrastructure. It will join tools like GitHub Copilot and Amazon CodeWhisperer to accelerate the app development lifecycle. However, Oracle hasn’t yet specified when this feature will be released. (Link)
Red Hat launches RHEL AI and InstructLab to democratize enterprise AI
At Red Hat Summit 2024, RedHat announced two major initiatives to bring the power of generative AI to the enterprise. Red Hat Enterprise Linux AI (RHEL AI), a foundation model platform for developing and running open-source language models, and InstructLab, a community project to enable domain experts to enhance AI models with their knowledge. (Link)
AI TRAINING: Chat with YouTube videos using Gemini
Google Gemini’s new “Extensions” feature allows users to access external tools such as YouTube to chat with videos and get answers for free.
Step-by-step:
- Visit Google’s Gemini website. If Gemini is not available in your country, you’ll need to use a US-based VPN.
- Click on the gear icon located on the bottom-left, select Extensions, and turn on the YouTube one.
- Go back to the Chat interface and start your prompt using the following format: “@youtube Summarize the following video [Youtube URL]”
Pro tip: Try asking Gemini to explain advanced concepts discussed in a video, generating concrete examples, creating practice questions, and even asking for code snippets
Trending AI Tools on May 08th 2024:
- Eraser AI – Technical design copilot that helps users edit documents and generate diagrams easily
- Snaplet Seed – Cease manual data creation, get instant realistic data for your project
- Aria Browser AI – Opera’s browser AI can now create images and read out text responses
Meaning – Block distracting apps with an AI screen time coach- Dante Unlimited AI Messages – No more hidden fees for AI chatbot creation
New AI Job Opportunities May 08th 2024
- The Rundown – Paid Growth Lead
- Scale AI – Field Engineer
- Perplexity AI – Software Engineer – Billing
- Anyscale – Staff Accountant
A Daily chronicle of AI Innovations May 07th 2024: Apple is developing its own AI chip for data center servers Stack Overflow and OpenAI have announced an API partnership Microsoft is developing a new AI language model to rival GPT-4 and Google Gemini Study: Teachers can’t detect AI writing Apple’s new M4 chip is focused on AI Hugging Face has launched LeRobot, an open-source robotics toolkit 
Apple is testing a new “Clean Up” feature in its Photos app Google has launched Google Threat Intelligence US invests $285M in AI ‘Digital Twin’ technology Anduril Industries introduces Pulsar: AI modular electromagnetic warfare (EW) systems
Apple’s new M4 chip is focused on AI
- Apple’s new M4 chip, designed for the latest OLED iPad Pro models, focuses on enhancing AI performance with capabilities like handling 38 trillion operations per second, which is significantly higher than its predecessors but still behind Qualcomm’s Snapdragon X Elite.
- The M4 chip utilizes advanced second-generation 3nm technology, featuring a 10-core CPU with a mix of performance and efficiency cores, and supports technologies like mesh shading and ray tracing for improved graphical rendering.
- Apple’s announcement of the M4 chip sets the stage for a comparison with Microsoft’s upcoming Arm-powered hardware and Windows on Arm enhancements, scheduled for release later this month, which aim to surpass Apple’s MacBook Air M3 in terms of CPU and AI performance.
Apple is developing its own AI chip for data center servers
Apple is developing its own AI chip for data center servers, known internally as Project ACDC (Apple Chips in Data Center). The chip will likely focus on running AI models (inference) rather than training them, which is where Nvidia currently dominates.
The company is working closely with TSMC (Taiwan Semiconductor Manufacturing Co) to design and produce these chips, although the timeline for launch is uncertain. With this move, the company aims to keep up with rivals like Microsoft and Meta, who have made significant investments in generative AI.
Why does it matter?
Apple has a long history of designing custom chips for its devices like iPhones, iPads, and Macs, which is probably what makes them stand out. Having custom AI chips could allow the tech giant more control over its “AI destiny” versus relying on suppliers like Nvidia.
Stack Overflow and OpenAI have announced an API partnership
OpenAI will use OverflowAPI to improve model performance and provide attribution to the Stack Overflow community within ChatGPT. Stack Overflow will use OpenAI models to develop OverflowAI and to maximize model performance.
The partnership aims to improve the user and developer experience on both platforms. The first set of integrations and capabilities will be available in the first half of 2024, and the partnership will enable Stack Overflow to reinvest in community-driven features.
Why does this matter?
Stack Overflow partnered with Google Cloud to develop Overflow API and to give Google’s Gemini models access to its knowledge communities. Now it is forming a similar partnership with OpenAI. Despite concerns about copyright breaches, such partnerships seem to be trending where both the parties have much to gain, but it just reaffirms that the big AI players remain hungry for data.
Microsoft is developing a new AI language model
Microsoft is developing a new, large-scale AI language model called MAI-1 to compete with Google and OpenAI. The model is overseen by Mustafa Suleyman, recently hired co-founder of Google DeepMind.
MAI-1 will be larger and more expensive than Microsoft’s previous smaller, open-source models, with roughly 500 billion parameters. Microsoft could preview the new model as soon as its Build developer conference later this month.
Why does this matter?
Microsoft’s development of MAI-1 shows that it is not entirely relying on it’s OpenAI investment to go big in AI. Now, it has entered the AI race truly, competing with state-of-the-art models from Google, Anthropic, even Meta’s Llama 400B which is in training, and OpenAI itself.
What Else Is Happening in AI on May 07th 2024
Hugging Face has launched LeRobot, an open-source robotics toolkit
It is a comprehensive platform for developers, researchers, and hobbyists to train AI models, share data, and simulate environments, all while seamlessly integrating with various robotic hardware. The toolkit offers pre-trained models and integrates with physics simulators for testing without physical robots. Hugging Face is also collaborating with diverse partners to build the largest crowdsourced robotics dataset. (Link)
Apple is testing a new “Clean Up” feature in its Photos app
By using gen AI for advanced image editing, this feature will allow you to effortlessly remove unwanted objects from your photos using a simple brush. Apple may preview this new feature during its upcoming “Let Loose” iPad event or at WWDC in June. (Link)
Google has launched Google Threat Intelligence
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It is a combination of Mandiant’s expertise, VirusTotal’s community insights, and Google’s vast threat visibility. Google Threat Intelligence assists with external threat monitoring, attack surface management, digital risk protection, IoC analysis, and expertise. With Gemini, organizations can now quickly search through vast amounts of threat data to protect against cyber threats. (Link)
US invests $285M in AI ‘Digital Twin’ technology
The Biden administration is investing $285 million for a new “CHIPS Manufacturing USA institute” focused on digital twins for the semiconductor industry. This approach uses AI to create virtual chip replicas, accelerating the production of next-gen processors. Intel and Micron are also set to receive funding to boost the development of new processors. (Link)
Anduril Industries introduces Pulsar: AI modular electromagnetic warfare (EW) systems
Pulsar uses AI to quickly identify and counter current and future threats across the electromagnetic spectrum, including small and medium-size drones. With its integration of software-defined radio, GPUs, and diverse compute capabilities, Pulsar is changing how we defend against rapidly evolving threats in an increasingly complex battlefield. (Link)
AI TRAINING May 07th 2024
Studio-quality audio in seconds with AI
Adobe’s AI-powered ‘Enhance Speech’ tool dramatically improves the quality of audio voice recordings with just a few clicks.
Step-by-step:
- Access Adobe’s Enhance Speech website. Sign in or sign up for free.
- Upload your audio by selecting “Choose file” or simply drag and drop the file.
- Wait a few seconds while Adobe’s AI analyzes and removes unwanted noises from your file.
- Download your studio-quality audio and hear the difference!
Pro tip: If you have a video file, you can extract the audio using free websites that extract audio from video and add the enhanced audio back to your video using free video editors like CapCut
AI RESEARCH on May 07th 2024
Study: Teachers can’t detect AI writing
A series of studies from several German universities found that both novice and experienced teachers struggled to accurately distinguish between student-written and AI-generated texts.
The details:
- The first study trialed pre-service teachers on AI and student text, correctly ID’ing only 45.1% of AI-generated submissions.
- The second study tested experienced teachers, who correctly identified just 37.8% of AI-generated submissions.
- The study revealed that teachers were overconfident in their ability to spot AI-generated text.
- AI detection software also often falsely flags student-written texts as potentially AI-generated, which further complicates the issue.
Why it matters: AI’s writing capabilities are only getting better — and relying on teacher intuition or unreliable tools may be no more effective than guessing. Unless better tools become available, it may be time to pivot to enabling students to work with AI instead of penalizing them for it.
Trending AI Tools May 07th 2024
- Osum – Perform deep market research in seconds: Try now (Use checkout code RUNDOWN for 25% off)*
Coachvox – The ultimate AI marketing tool for coaches with content- Pressmaster – All-in-one platform simplifies press planning and distribution
Lamini – Enterprises LLM platform that you can own- Postman v11 – Supercharging development with AI and APIs
- Adobe Acrobat AI Assistant – Get quick answers and one-click summaries from PDFs
- Leonardo AI Content Reference – Enhance creative control for image generations
New AI Job Opportunities May 07th 2024
- The Rundown – Community Manager
- Scale AI – Senior Analytics Engineer
Anthropic – Risk Manager, Responsible Scaling Team- OpenAI – Tech Lead Manager – Supercomputing Scheduling
A Daily chronicle of AI Innovations May 06th 2024: DrEureka can automate robot training using LLMs Free AI model rivals GPT-4 in language model evaluation X introduces Stories feature powered by Grok AI Privacy complaint filed against OpenAI JPMorgan launches an AI-powered tool for thematic investing YouTube Premium introduces AI-powered “Jump ahead” feature AI is now set to transform the drug discovery industry AI helps bring back Randy Travis’ voice in new song Jack Dorsey has left Bluesky, calls X a ‘freedom technology’ Why Warren Buffet isn’t investing in AI Massive prompts can outperform fine-tuning for LLMs, researchers find
DrEureka can automate robot training using LLMs
In robotics, one of the biggest challenges is transferring skills learned in simulation to real-world environments. NVIDIA researchers have developed a groundbreaking algorithm called DrEureka that uses LLMs to automate the design of reward functions and domain randomization parameters—key components in the sim-to-real transfer process.
The algorithm works in three stages: first, it creates reward functions with built-in safety instructions; then, it runs simulations to determine the best range of physics parameters; finally, it generates domain randomization configurations based on the data gathered in the previous stages.
When tested on various robots, including quadrupeds and dexterous manipulators, DrEureka-trained policies outperformed those designed by human experts.
Why does it matter?
DrEureka makes robot training accessible and cost-effective for businesses and researchers alike. We may witness increased adoption of robotics in industries that have previously been hesitant to invest in the technology due to the complexity and cost of training robots for real-world applications.
Free AI model rivals GPT-4 in language model evaluation
Prometheus 2, a free and open-source language model developed by KAIST AI, has shown impressive capabilities in evaluating other language models, approaching the performance of commercial models like GPT-4.
The model was trained on a new pairwise comparison dataset called the “Preference Collection,” which includes over 1,000 evaluation criteria beyond basic characteristics. By combining two separate models – one for direct ratings and another for pairwise comparisons – the researchers achieved the best results.
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In tests across eight datasets, Prometheus 2 showed the highest agreement with human judgments and commercial language models among all freely available rating models, significantly closing the gap with proprietary models.
Why does this matter?
By enabling user-defined evaluation criteria, Prometheus 2 can be tailored to assess language models based on specific preferences and real-life scenarios, opening up new possibilities for developing specialized AI applications across various domains. It’s also an opportunity to create niche models that are culturally sensitive and relevant.
X introduces Stories feature powered by Grok AI
X (formerly Twitter) has launched a new feature, Stories, that provides AI-generated summaries of trending news on the platform. Powered by Elon Musk’s chatbot Grok, Stories offers Premium subscribers brief overviews of the most popular posts and conversations happening on X.
With Stories, users can quickly catch up on the day’s trending topics without having to scroll through countless posts. Grok generates these summaries based solely on the conversations happening on X about each news story rather than analyzing the original news articles themselves. While this approach is controversial, X believes it will pique users’ curiosity and potentially drive them deeper into the source material.
Why does this matter?
X’s Grok-powered Stories feature may reshape the way we consume news. As more platforms integrate AI news summarization tools, traditional media outlets may face challenges in maintaining reader engagement and revenue. However, the reliance on platform-specific conversations for generating summaries raises concerns about the potential spread of misinformation and the creation of echo chambers.
Why Warren Buffet isn’t investing in AI
- Warren Buffett predicts AI scamming will become a major growth industry, highlighting its capacity to generate realistic and misleading content to deceive individuals.
- Buffett acknowledges AI’s potential for both beneficial and detrimental impacts, admitting his own lack of understanding of the technology.
- Despite the hype around AI in the investment world, Buffett exercises caution, likening its unpredictable potential impact to that of nuclear weapons.
- Source
Massive prompts can outperform fine-tuning for LLMs, researchers find
- Researchers have discovered that using large prompts with numerous examples in LLMs can be more effective than traditional fine-tuning techniques.
- “In-context learning” (ICL) becomes increasingly efficient with larger context windows, allowing for the effective use of hundreds to thousands of examples without the need for task-specific training.
- The study indicates that while fine-tuning requires more initial data and resources, ICL with extensive prompts presents a viable and sometimes superior alternative, especially as models improve in processing long inputs.
- Source
What Else Is Happening in AI on May 06th 2024
Privacy complaint filed against OpenAI
The maker of ChatGPT is facing a privacy complaint in the European Union (EU) for its “hallucination problem.” The complaint alleges violations of GDPR, including misinformation generation and lack of transparency on data sources. The report highlights concerns about accuracy, data access, and the inability of ChatGPT to correct incorrect information. (Link)
JPMorgan launches an AI-powered tool for thematic investing
IndexGPT is a new range of thematic investment baskets created using OpenAI’s GPT-4 model. The tool generates keywords associated with a theme, which are then used to identify relevant companies through natural language processing of news articles. IndexGPT aims to improve the selection of stocks for thematic indexes, going beyond obvious choices and potentially enhancing trend-following strategies. (Link)
YouTube Premium introduces AI-powered “Jump ahead” feature
The AI-powered feature allows users to skip past commonly skipped sections of a video and jump to the next best point. It is currently available for the YouTube Android app in the US with English videos and can be enabled through the experiments page. (Link)
AI is now set to transform the drug discovery industry
Generative AI is now rapidly generating novel molecules and proteins that humans may not have considered. AI models, such as Google’s AlphaFold, are accelerating the drug development process from years to months while increasing success rates. Experts predict that AI-designed drugs will become the norm in the near future, but they will still need to prove their efficacy in human trials. (Link)
AI helps bring back Randy Travis’ voice in new song
Country singer Randy Travis has released a new song, “Where That Came From,” his first since losing his voice to a stroke in 2013.
The vocals were created using AI software and a surrogate singer under the supervision of Travis and his producer. The result is a gentle tune that captures Travis’ relaxed style, reinforcing the potential of AI voice cloning in the right hands. (Link)
AI Tutorial on May 06th 2024:
How to use ChatGPT’s new ‘Memory’ feature
| OpenAI has rolled out a new feature called “Memory” for ChatGPT plus users, enabling it to remember specific user details across chats. |
| Step-by-step: |
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| That’s it! You can now have more personalized conversations across all your conversations |
New AI Job Opportunities on May 06th 2024
- Robust Intelligence – Solution Architect
- Anthropic – Audit and Compliance
- Hugging Face – Product Software Engineer, ML Platform
Character AI – Staff Data Engineer – Analytics
A Daily chronicle of AI Innovations May 04th 2024: World’s first AI-generated music video was just released Air Force launches an AI-controlled F-16 fighter jet Microsoft ties executive pay to security following multiple failures and breaches 
X is using Grok to publish AI-generated news summaries
World’s first AI-generated music video was just released
- A pro music video created with OpenAI’s Sora, a text-to-video AI model, has been released by writer-director Paul Trillo, marking the first of its kind.
- The video for “The Hardest Part” by Washed Out utilized 700 clips generated by Sora, with 55 selected for the final edit, showcasing the AI’s ability to transform written descriptions into video clips.
- Despite not being publicly available yet, Sora’s early access was granted to a select group of artists, including Trillo, sparking interest and debate about the future of AI in creative processes.
- Source
Air Force launches an AI-controlled F-16 fighter jet
- An experimental AI-powered F-16 fighter jet, carrying Air Force Secretary Frank Kendall, performed advanced combat maneuvers, demonstrating significant advancements in military aviation technology.
- The Air Force plans to have over 1,000 AI-enabled unmanned warplanes by 2028, with the AI-controlled F-16, known as Vista, marking a historic step in air combat by executing a dogfight against a human-piloted F-16.
- Despite concerns over AI’s autonomous decision-making in warfare, the technology is seen as essential for future combat scenarios, aiming to reduce pilot risk and lower costs compared to traditional manned fighters.
- Source
X is using Grok to publish AI-generated news summaries
- X is using Grok to create AI-generated summaries for news and discussions trending on its platform, offering them under the feature “Stories on X” exclusively to premium subscribers.
- Grok generates summaries based on users’ posts, covering a wide range of topics including news events and platform discussions, with a user highlighting its capability by showcasing stories on diverse subjects such as Apple’s earnings and debates on national debt.
- Despite its innovative approach, Grok is noted for potential inaccuracies in its summaries, as evidenced by a past error where it misinterpreted a basketball term, highlighting the need for users to verify its outputs.
- Source
AI Weekly Rundown April 26th to May 03rd 2024
iOS 18 may have OpenAI-powered gen AI Capabilities
China’s Vidu generates 16-second 1080P videos, matching OpenAI’s Sora
New S1 robot mimics human-like movements, speed, and precision
Gradient AI releases Llama-3 8B with 1M context
Mysterious “gpt2-chatbot” AI model bemuses experts
GitHub’s Copilot Workspace turns ideas into AI-powered software
Amazon launches Amazon Q, the world’s most capable Gen AI assistant
Google’s Med-Gemini models outperform doctors
Apple has set up a secretive AI lab in Switzerland
Better and faster LLMs via multi-token prediction: New research
Anthropic launches an iOS app and a new plan for teams
Google’s AI advancements urged Microsoft’s billion-$ OpenAI investment
Scale AI’s study finds popular LLMs overfit public benchmarks
Ukraine debuts the world’s first AI diplomat, Victoria Shi
Sam Altman is ready to spend $50 billion a year to build AGI
A Daily chronicle of AI Innovations May 03rd 2024: Bill Gates is still pulling the strings at Microsoft; AI engineers report burnout as ‘rat race’ to stay competitive hits tech industry; Ukraine introduces AI spokesperson for state affairs; How much do LLMs overfit public benchmarks? Sam Altman’s stance on the future of AI 🌟 New from #NVIDIAResearch, VILA is a vision language model that can 🤔 reason among multiple images, learn in context, and even understand videos.
How much do LLMs overfit public benchmarks?
A new study by Scale AI raises concerns about the reliability of LLM benchmark tests. It uncovers LLM overfitting by evaluating them on a new (designed from scratch) dataset, GSM1k that mimics a popular benchmark, GSM8k.
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Key findings:
- Overfitting: Many LLMs performed significantly worse on GSM1k compared to GSM8k, with some models dropping by as much as 13%. This suggests they’ve simply memorized the answers to benchmark problems rather than learning true reasoning skills.
- Family Trends: Certain LLM families, particularly Mistral and Phi, showed consistent overfitting across different model sizes.
- Frontier Models Shine: Newer, more advanced LLMs showed minimal signs of overfitting, suggesting they may be achieving genuine reasoning abilities.
- Data Contamination Suspected: Analysis suggests data contamination from benchmark sets may be one factor contributing to overfitting.
- Reasoning Still Present: Even overfitting models exhibited some capability to solve novel problems, although not at the level their benchmark scores suggested.
Overall, the study highlights the need for more robust and reliable methods for evaluating LLM reasoning abilities.
Why does it matter?
The dataset proves that overfitting may be creating major false impressions of model performance. As AI capabilities continue to advance, it is crucial to develop evaluation approaches that can keep pace and provide a more accurate picture of a model’s real-world potential.
Sam Altman’s stance on the future of AI
During a recent appearance at Stanford University, Altman talked about the future of AI, calling GPT-4, a currently impressive AI model, to be the “dumbest model” compared to future iterations. According to Altman, the future is dominated by “intelligent agents,” AI companions that can not only follow instructions but also solve problems, brainstorm solutions, and even ask clarifying questions.
OpenAI isn’t just talking about the future, they’re actively building it. Their next-generation model, GPT-5, is rumored for a mid-2024 release and might boast video generation capabilities alongside text and image.
But the real moonshot is their active participation in developing AGI.
Despite the significant costs involved, Altman remains undeterred. He believes that the potential benefits, such as solving complex problems across various industries, outweigh the financial burden.
Watch the whole Q&A session here.
Why does this matter?
Altman’s bold comments on GPT-4 being the dumbest model suggest that OpenAI is aiming for something even grander, and GPT-5 could be a stepping stone toward it (the next-gen AI framework).
Bill Gates is still pulling the strings at Microsoft
- Bill Gates predicted the revolution in computing through AI agents in a memo before Microsoft’s partnership with OpenAI, and despite public appearances, has been heavily involved in guiding Microsoft’s AI strategy.
- Under Gates’ influence, Microsoft developed Copilot, an AI tool based on OpenAI’s GPT, transforming the company into the world’s most valuable public entity by enhancing productivity in Microsoft products.
- Gates has continued to play a pivotal role behind the scenes at Microsoft, advising on strategy, product development, and fostering key relationships, notably with OpenAI, even after stepping down from the board amid misconduct allegations.
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AI engineers report burnout as ‘rat race’ to stay competitive hits tech industry
- AI engineers at Microsoft and other companies are reporting burnout due to the pressure to quickly release AI products, amidst an industry-wide “AI rat race.”
- Microsoft’s focus on speed over ethics and safety in AI development has been criticized, even as the company forms a Responsible AI Council to address safety concerns.
- An Amazon AI engineer’s account of being forced to work over a weekend, only for the project to be canceled, highlights a similar disregard for worker well-being and a preference for speed over accuracy and testing in AI product development.
- Source
Ukraine introduces AI spokesperson for state affairs
- Ukraine’s Foreign Ministry introduced an artificial intelligence-powered spokesperson, Victoria Shi, to deliver official statements and interact with the press, marking a historic use of digital personnel for governmental communications.
- Victoria Shi, created with the likeness and voice of Ukrainian singer Rosalie Nombre, will have her statements written and confirmed by humans, using AI for her visual presentation.
- The ministry aims to utilize AI, including measures like QR codes for statement verification, to save time and money, particularly in the context of its ongoing conflict with Russia.
- Source
What Else Is Happening in AI on May 03rd, 2024
OpenAI prepares to challenge Google with ChatGPT-powered search: OpenAI is building a search engine, search.chatgpt.com, potentially powered by Microsoft Bing. This leverages their existing web crawler and Bing’s custom GPT-4 for search, posing a serious threat to Google’s dominance. (Link)
Microsoft bans U.S. police use of Azure OpenAI for facial recognition
Microsoft has banned U.S. police from using Azure OpenAI Service for facial recognition, including integrations with OpenAI’s image-analyzing models. The move follows Axon’s controversial GPT-4-powered tool to summarize audio from the body camera. However, the ban has exceptions and doesn’t cover Microsoft’s other AI law enforcement contracts. (Link)
IBM expands AI and data software on AWS marketplace
IBM has significantly expanded its software offerings on the AWS Marketplace, making 44 products accessible to customers in 92 countries, up from just five. The move, part of a strategic collaboration with AWS, focuses on AI and data technologies like Watson x.data, Watson x.ai, and the upcoming Watson x.governance. (Link)
Google Cloud supports Azure and AWS; integrates AI for security
Google Cloud now supports Azure and AWS, enabling enterprises to manage security across multi-cloud platforms. AI integration with existing solutions streamlines user experience and addresses the security talent gap. The AI-powered design manages risks efficiently amid increasing cyber threats, while extensive support simplifies tasks for enterprises. (Link)
Microsoft invests $2.2B in Malaysia’s cloud and AI transformation
Microsoft is investing $2.2 billion over the next four years to support Malaysia’s digital transformation, its largest investment in the country’s 32-year history. The investment includes building cloud and AI infrastructure, creating AI skilling opportunities for 200,000 people, establishing a national AI Centre of Excellence, enhancing cybersecurity capabilities, and supporting the growth of Malaysia’s developer community. (Link)
Trending AI Tools on May 03rd 2024
- Waxaing AI – Project management tool for growth marketers
- Amazon Q – Generative AI-powered assistant from AWS
- Soundry AI – AI sound sample VST for music creation and DJing
- NVIDIA ChatRTX – New features including multi-language voice support and more LLMs
- Synthesia Expressive AI Avatars – Create AI avatars with human-like expressions
- Relume – Create a wireframe and UX copy in seconds with AI
New AI Jobs opportunity on May 03rd 2024
- AE Studio – Product Designer & Manager
- The Rundown – Newsletter Editor
- Scale AI – Operations Program Manager, Code Quality
Anyscale – Content Strategist
This week in AI – all the Major AI developments in a nutshell
- AI21 Labs introduced Jamba, a production-grade Mamba based model. By enhancing Mamba Structured State Space model (SSM) technology with elements of the traditional Transformer architecture, Jamba compensates for the inherent limitations of a pure SSM model. Jamba optimizes for memory, throughput, and performance—all at once. It outperforms or matches other state-of-the-art models in its size class. Jamba has been released with open weights, licensed under Apache 2.0. Available on Hugging Face and coming soon to the NVIDIA API catalog [Details].
- Databricks introduced DBRX, an open, general-purpose LLM that uses a fine-grained mixture-of-experts (MoE) architecture with 132B total parameters of which 36B parameters are active on any input. Across a range of standard benchmarks, DBRX outperforms open LLMs like Mixtral, LLaMA2-70B and Grok-1. It surpasses GPT-3.5, and it is competitive with Gemini 1.0 Pro. It is an especially capable code model, surpassing specialized models like CodeLLaMA-70B on programming, in addition to its strength as a general-purpose LLM. The model is also available on the Databricks API [Details].
- Hume AI released Empathic Voice Interface (EVI), a first-of-its-kind conversational AI with emotional intelligence. EVI uses a new form of multimodal generative AI that integrates large language models (LLMs) with expression measures, which Hume refers to as an empathic large language model (eLLM). The eLLM enables EVI to adjust the words it uses and its tone of voice based on the context and the user’s emotional expressions [Demo | Details | wait list].
- Tencent introduced AniPortrait, a novel framework for generating high-quality animation driven by audio and a reference portrait image. Code and model weights have been released [Paper | GitHub]
- X announced an update to its AI chatbot Grok-1.5, with improvements in performance in coding and math-related tasks, and a context length of 128,000 tokens. Grok-1.5 will soon be available to early testers. Earlier Elon Musk had announced that all Premium subscribers on X will gain access to Grok this week, not just those on Premium+, as before [Details]
- Qwen (Alibaba Cloud) released Qwen1.5-MoE, a 2.7B, a small MoE model with only 2.7 billion activated parameters yet matching the performance of state-of-the-art 7B models like Mistral 7B and Qwen1.5-7B. Compared to Qwen1.5-7B, which contains 6.5 billion non-embedding parameters, it achieves a 75% decrease in training expenses and accelerates inference speed by a factor of 1.74 [Details].
- Claude 3 models dominates LMSYS Chatbot Arena Leaderboard. Claude 3 Opus tops the list beating GPT-4 Turbo, while Claude 3 Sonnet outperform older GPT-4 models and Claude 3 Haiku beating Mistral Large [Link].
- Adobe introduces structure reference feature for Firefly AI and GenStudio for brands. It enables taking one image and generating new ones that may be completely different stylistically, but whose internal elements are arranged and sized similarly to the first image [Details].
- Mata AI introduced OPT2I, a a training-free text-to-image (T2I) optimization-by-prompting framework that provides refined prompts for a T2I model that improve prompt-image consistency. The framework starts from a user prompt and iteratively generates revised prompts with the goal of maximizing a consistency score. OPT2I can boost the prompt-image consistency by up to 24.9% [Paper]
- OpenAI has started testing usage-based GPT earnings by partnering with a small group of US builders [Details].
- Adobe introduced Firefly Services and Custom Models. Firefly Services makes over 20 new generative and creative APIs available to developers. Custom Models, allows businesses to fine tune Firefly models based on their assets [Details].
- Nvidia announced a collaboration with Hippocratic AI , a healthcare company that is offering generative AI nurses, that range in specialties from “Colonoscopy Screening” to “Breast Cancer Care Manager,” and work for $9 an hour [Details].
- Worldcoin Foundation open-sourced the core components of its iris-scanning Orb’s software [Details].
- Emad Mostaque resigned from his role as CEO of Stability AI and from his position on the Board of Directors of the company to pursue decentralized AI [Details]
- Stability AI released Stable Code Instruct 3B, an instruction-tuned Code LM based on Stable Code 3B. With natural language prompting, this model can handle a variety of tasks such as code generation, math and other software development related queries [Details].
- Mistral AI released Mistral-7B-v0.2 Base model. This is the base model behind Mistral-7B-Instruct-v0.2 released in Dec, 2023 [Details]
- Open AI shared new examples of the Sora generations by visual artists, designers, creative directors and filmmakers [Details].
A Daily chronicle of AI Innovations May 02nd 2024: Sam Altman: “GPT-4 is the dumbest AI you’ll ever have to use” TikTok and UMG strike new licensing deal including AI protections Anthropic’s ChatGPT rival Claude is now available on iOS Atlassian launches Rovo, its new AI teammate Better and faster LLMs via multi-token prediction: New research Google’s AI advancements urged Microsoft’s billion-dollar OpenAI investment Sanctuary AI teams up with Microsoft to advance general-purpose robot AI Nvidia’s ChatRTX now supports voice queries and Google’s Gemma model Atlassian launches Rovo: An AI assistant for enhanced teamwork MongoDB launches an AI app-building toolkit to help businesses use gen AI Ideogram introduces Pro Tier: 12,000 fast AI image generations monthly
Sam Altman: “GPT-4 is the dumbest AI you’ll ever have to use”
- OpenAI CEO Sam Altman described GPT-4 as the “dumbest” AI model users will have to interact with, anticipating significantly smarter versions in the future.
- Altman emphasized that OpenAI’s AI models, including GPT-4, have considerable potential for improvement, with successive models like GPT-5 and GPT-6 expected to be significantly smarter.
- Despite the high cost of development, which could range from $500 million to $50 billion annually, Altman is confident in the future value these advanced AI systems will bring to society.
- Source
TikTok and UMG strike new licensing deal including AI protections
- UMG has reached a “multi-dimensional” agreement with TikTok to bring back its artists, including Taylor Swift, Drake, and Olivia Rodrigo, to the platform’s over one billion users.
- The deal includes provisions to collaborate on ensuring AI development in the music industry protects artists’ rights and addresses unauthorized AI-generated music on TikTok.
- Additionally, the agreement will introduce new monetization opportunities for artists through TikTok’s expanding e-commerce capabilities and enhance tools for artist promotion, including analytics and integrated ticketing.
- Source
Anthropic’s ChatGPT rival Claude is now available on iOS
- Anthropic has launched an iOS app for its AI model Claude 3, which has been anticipated due to the company’s recent hiring of iOS engineers.
- The app offers both free and premium access to Claude 3’s features, including its vision capabilities for real-time image analysis and summarization.
- Anthropic also launched a new “Team” plan, priced at $30 per user per month, offers advanced administrative controls and collaboration features, aiming to secure a stronger foothold in the enterprise AI market.
- Source
Atlassian launches Rovo, its new AI teammate
- Atlassian launched Rovo, an AI assistant designed to integrate with its products, making data from various tools easily accessible and enabling automation of workflows in applications like Jira and Confluence.
- Rovo is based on Atlassian’s “cloud teamwork graph” and aims to simplify tasks for knowledge workers by assisting in finding, understanding, and taking action on work-related information.
- The AI features Rovo Agents that can automate complex tasks and workflows, offering customization through natural language interface without the need for programming skills.
- Source
Better and faster LLMs via multi-token prediction: New research
New research, apparently from Meta, has proposed a novel approach to training language models (LMs). It suggests that training LMs to predict multiple future tokens at once instead of predicting only the next token in a sequence results in higher sample efficiency. The architecture is simple, with no train time or memory overhead.
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The research also provides experimental evidence that this training paradigm is increasingly useful for larger models and in particular, shows strong improvements for code tasks. Multi-token prediction also enables self-speculative decoding, making models up to 3 times faster at inference time across a wide range of batch sizes.
Why does it matter?
LLMs such as GPT and Llama rely on next-token prediction. Despite their recent impressive achievements, next-token prediction remains an inefficient way of acquiring language, world knowledge, and reasoning capabilities. It latches on local patterns and overlooks “hard” decisions.
Perhaps, multi-token prediction could bring a shift in how LMs learn. It could equip LLMs with deeper understanding and complex problem-solving capabilities. (or Meta just wasted their compute.)
Anthropic launches an iOS app and a new plan for teams
Anthropic, the creator of the Claude 3 AI models, released a new iOS app named Claude. The app enables users to access AI models, chat with them, and analyze images by uploading them.
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Anthropic also introduced a paid team plan, offering enhanced features like more chat queries and admin control for groups of five or more. The app is free for all users of Claude AI models, including free users, Claude Pro subscribers, and team plan members. The company will also roll out an Android version soon.
Why does it matter?
Though a little late with its mobile app, Anthropic has caught up with its competitors like OpenAI and Google, who have apps running for quite a while. The company decided to offer an app version because many users have been accessing its AI models through the web.
Google’s AI advancements may have urged Microsoft’s billion-dollar OpenAI investment
Internal emails have revealed that Microsoft invested $1 billion in OpenAI in 2019 out of fear that Google was significantly ahead in its AI efforts.
Microsoft CTO Kevin Scott sent a lengthy email to CEO Satya Nadella and Bill Gates stating Google’s AI-powered “auto complete in Gmail” was getting “scarily good” and added that Microsoft was years behind in terms of ML scale.
The emails, with the subject line “Thoughts on OpenAI,” were made public on Tuesday as part of the Department of Justice’s antitrust case against Google. A large section of Scott’s email was redacted. Check out the email here.
Why does it matter?
While some might call it paranoia, the well-timed move has undeniably paid off– the initial $1 billion has now turned into a multi-billion-dollar partnership with OpenAI.
While the email-surfacing highlights the growing scrutiny of competition in the tech industry, it also makes me wonder if Microsoft’s investment in OpenAI could have influenced the overall direction of AI research and development.
What Else Is Happening in AI on May 02nd 2024
Sanctuary AI teams up with Microsoft to advance general-purpose robot AI
Sanctuary AI has announced a collaboration with Microsoft to develop AI models for general-purpose humanoid robots. The partnership will leverage Microsoft’s Azure cloud computing platform and AI technologies to enhance the capabilities of Sanctuary AI’s robots. (Link)
Nvidia’s ChatRTX now supports voice queries and Google’s Gemma model
Nvidia has updated its ChatRTX chatbot to support Google’s Gemma model, voice queries, and additional AI models. The chatbot, which runs locally on a PC, enables users to search personal documents and YouTube videos using various AI models, including ChatGLM3 and OpenAI’s CLIP model. (Link)
Atlassian launches Rovo: An AI assistant for enhanced teamwork
Atlassian has launched Rovo, an AI assistant designed to improve teamwork and productivity. Rovo integrates with Atlassian’s products and offers features such as AI-powered search, workflow automation, and integration with third-party tools like Google Drive, Microsoft SharePoint, and Slack. (Link)
MongoDB launches an AI app-building toolkit to help businesses use gen AI
It has launched the MongoDB AI Applications Program, or MAAP, to help companies accelerate building and deployment of AI-powered applications. It brings consultancies and foundation models providers, cloud infrastructure, generative AI frameworks, and model hosting together with MongoDB Atlas to develop solutions for business problems. (Link)
Ideogram introduces Pro Tier: 12,000 fast AI image generations monthly
Ideogram has launched a paid Pro tier for its AI image generation platform, allowing users to generate up to 12,000 images per month at faster speeds. The platform utilizes AI algorithms to create high-quality images for various applications, including design, marketing, and content creation. (Link)
Google Chrome gets Gemini shortcut
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| Why it matters: Gemini just got a whole lot more accessible — with the shortcut and integrations not only boosting the chatbot’s reach, but also introducing a wave of non-AI users to the tech. Subtle but impactful changes like these are what drive serious shifts in user habits. |
AI Training:
Create infinite styles with Midjourney
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| Midjourney’s new parameter feature called –sref random lets users generate images in completely random styles to help spark creativity. | |
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| Example prompt: “Portrait of a woman smiling –sref https://www.…” |
AI RESEARCH | |||||||
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| Ohio State University researchers just developed CURE, an AI model that can accurately estimate drug treatment effects and effectiveness without clinical trials. | ||
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| Why it matters: With the ability to crunch massive medical datasets, CURE represents a significant step towards systems that can reliably estimate real-world drug effectiveness — potentially accelerating the discovery of new treatments without the cost and long timeframes of traditional clinical trials. |
Trending AI Tools |
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New AI Job Opportunities |
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A Daily chronicle of AI Innovations May 01st 2024: Amazon has launched Amazon Q, a Gen AI assistant for businesses and developers
Google’s Med-Gemini models outperforms doctors Apple has set up a secretive AI lab in Switzerland Google to pay News Corp $5-6 million per year to develop AI content and products Yelp is launching an AI chatbot to help consumers connect with relevant businesses Apple is testing Safari 18 with new features: Intelligent Search and Web Eraser Eight US newspapers have sued Microsoft and OpenAI for copyright infringement A study of 16000 patients reveals that AI ECG alert systems significantly lower all-cause mortality
Amazon has launched Amazon Q, a Gen AI assistant for businesses and developers
| The details: |
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Amazon has launched Amazon Q, a generative AI assistant designed for developers and businesses. It comes in three distinct offerings:
- Amazon Q Developer frees up precious time by handling tedious tasks like testing, debugging, and optimizing AWS resources so developers can focus on core coding and innovation.
- Amazon Q Business connects to 40+ enterprise data sources and equips employees with a data-driven digital assistant to answer questions, create reports, and provide insights based on enterprise data repositories.
- Amazon Q Apps allows non-technical employees to build generative AI applications using natural language prompts.
Amazon is driving real-world impact by offering a free tier for Q Developer and reporting early customer productivity gains of over 80%. Amazon Q Developer Pro is available for $19/user/month and Amazon Q Business Pro for $20/user/month. A free trial of both Pro tiers is available until June 30, 2024.
Why does it matter?
By introducing a free tier for Q Developer and the user-friendly nature of Q Apps, Amazon could accelerate innovation across the software development lifecycle and business workflows. This could empower domain experts and business leaders to use AI to solve their specific challenges directly, leading to more tailored AI applications across various industries.
Google’s Med-Gemini models outperforms doctors
Researchers from Google and DeepMind have introduced Med-Gemini, a family of highly capable multimodal AI models specialized in medicine. Based on the strengths of the Gemini models, Med-Gemini shows significant improvements in clinical reasoning, multimodal understanding, and long-context understanding. Models can be customized to fit novel medical modalities through specialized encoders, and web searches can be used for up-to-date information.
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Med-Gemini has shown state-of-the-art performance on 10 of 14 medical benchmarks, including text, multimodal, and long-context applications. Moreover, the models achieved 91.1% accuracy on the MedQA (USMLE) benchmark, exceeding the previous best models by 4.6%. Its strong performance in summarizing medical notes, generating clinical referral letters, and answering electronic health record questions confirms Med-Gemini’s potential real-world use.
Why does it matter?
These models can reduce the administrative burden on healthcare professionals by outperforming human experts in tasks like medical text summarization and referral letter generation. Moreover, Med-Gemini’s ability to engage in multimodal medical dialogues and explain its reasoning can lead to more personalized and transparent care, reduce misdiagnosis due to lack of physician knowledge, and save lives and money.
Apple has set up a secretive AI lab in Switzerland
Since 2018, the company has quietly hired 36 AI experts from Google, including notable figures like Bengio and Ruoming Pang, for its secretive “Vision Lab.” The lab focuses on building advanced AI models and products, and it is particularly interested in text and visual-based AI systems akin to OpenAI’s ChatGPT. Apple has also acquired AI startups FaceShift and Fashwall, which are likely contributing to the establishment of the new lab.
Why does it matter?
Apple may have been fashionably late to AI development, but quietly setting up the Zurich lab and primary AI development centers in California and Seattle signifies the company’s AI ambitions.
What Else Is Happening in AI in May 2024
Google to pay News Corp $5-6 million per year to develop AI content and products
While News Corp denies any specific AI licensing deal, the arrangement highlights a growing trend of tech giants licensing news archives for language model training. Similar deals were inked between OpenAI and the Financial Times, showing the importance of quality data. (Link)
Yelp is launching an AI chatbot to help consumers connect with relevant businesses
The chatbot uses OpenAI’s LLMs and Yelp’s data to understand user problems and provide relevant professional suggestions. Yelp also introduces a “Project Ideas” section for personalized recommendations and checklists. Meanwhile, restaurants are getting a revamped guest management system for better staff utilization, real-time table status, and customer updates. (Link)
Apple is testing Safari 18 with new features: Intelligent Search and Web Eraser
Intelligent Search uses Apple’s on-device AI to identify topics and key phrases for summarization. Web Eraser allows users to persistently remove unwanted content from web pages. Apple is also working on an AI Visual Lookup feature for 2025, allowing users to obtain product information from images. These AI enhancements will debut with iOS 18 and macOS 15 at WWDC in June. (Link)
Eight US newspapers have sued Microsoft and OpenAI for copyright infringement
These newspapers, owned by Alden Global Capital’s MediaNews Group, allege that the companies misused their articles to train Copilot and ChatGPT without permission or payment. The New York Times, The Intercept, Raw Story, and AlterNet have filed similar lawsuits. The newspapers claim that the AI systems reproduce their content verbatim and generate fake articles that damage their reputation. (Link)
A study of 16000 patients reveals that AI ECG alert systems significantly lower all-cause mortality
The AI was trained on over 450,000 ECG tests and survival data to predict a patient’s risk of death. Physicians were alerted when a patient’s ECG indicated they were in the top 5% risk category. The AI reduced overall deaths by 17% and cardiac deaths by 93% for high-risk patients. (Link)
Apple poached 30+ Google experts to open a secret AI lab
- Apple has reportedly opened a secret AI research lab in Zurich, known as the “Vision Lab,” after hiring at least 36 AI experts from Google.
- The Zurich-based “Vision Lab,” led by former Google AI head John Giannandrea, has already produced significant research in generative AI, focusing on models that interpret text and imagery to deliver precise results.
- Despite Apple’s silent approach in AI research, leading to perceptions of its lateness in the AI race, the company has been discreetly advancing cutting-edge AI technology and maintaining a low profile in recruitment and product development.
Mysterious “gpt2-chatbot” AI model appears suddenly, confuses experts
- A new chatbot named “gpt2-chatbot” has appeared on the LMSYS Chatbot Arena, sparking speculation that it might be a secret test of OpenAI’s upcoming models, such as GPT-4.5 or GPT-5, although its performance has not significantly surpassed that of existing models like GPT-4 Turbo.
- Early user reports praise the mysterious model for its impressive reasoning and ability to answer challenging AI questions effectively, but detailed testing is limited due to a rate restriction of eight queries per day.
- Despite ongoing speculation and hints by OpenAI’s CEO, the exact nature and capability of the “gpt2-chatbot” remain unclear, with some suggesting it could be an OpenAI preview.
Apple reportedly working on AI-enabled Safari
- Apple is developing Safari 18 with features like a personalized user interface, “Web Eraser,” and AI-powered “Intelligent Search,” set to release alongside iOS 18 and macOS 15.
- “Intelligent Search” in Safari 18 will use Apple’s Ajax language-learning model for on-device AI technology to summarize webpage content.
- Safari 18’s “Web Eraser” feature will allow users to delete specific parts of web pages, enhancing privacy by remembering these changes even after closing the tab or window.
- AI: The Ultimate Sherlocking?by /u/mintone (Artificial Intelligence) on July 26, 2024 at 12:16 pm
submitted by /u/mintone [link] [comments]
- Speech-to-Text Solution for Multilingual Sentences / Mixed-language speechby /u/simbaninja33 (Artificial Intelligence Gateway) on July 26, 2024 at 11:54 am
I am looking for a speech-to-text solution, either paid or open-source, that can accurately transcribe speech containing a mix of two languages within the same sentence. I have explored options like Microsoft Azure, Google Cloud, and OpenAI, but haven't found a satisfactory solution yet. For example, I need the solution to handle sentences like: "I have tried the restaurant yesterday, it is muy muy bueno, they serve some of the pizza, que haria mi abuela super celoza de la receta." "I went to the store y compré un poco de pan because we were running low." I have already tried Microsoft Azure, which can handle multiple languages, but only when they are not mixed within the same sentence (as mentioned in their documentation). Google Cloud's speech-to-text fails to accurately transcribe mixed-language speech, and OpenAI doesn't seem to offer this functionality. I am open to both continuous real-time speech recognition and file-based recognition. For real-time applications, I am also willing to consider workarounds, such as implementing a "button" that can be clicked to quickly switch between the main language and the second language. If anyone has experience with a solution that can handle this type of mixed-language speech recognition, I would greatly appreciate any suggestions or recommendations. Thank you in advance for your help! submitted by /u/simbaninja33 [link] [comments]
- Any open source AI model with web search abilities?by /u/david8840 (Artificial Intelligence Gateway) on July 26, 2024 at 11:45 am
Is there any open source AI model with web search abilities? I want to be able to ask it questions which require real time internet searching, for example "What is the weather like now in NY?" submitted by /u/david8840 [link] [comments]
- Which companies are leading the way in AI detection? (for audio/video deepfakes, etc.?)by /u/ProfessionalHat3555 (Artificial Intelligence Gateway) on July 26, 2024 at 11:21 am
So I was listening to the most recent Bill Simmons pod w/ Derek Thompson where they discuss conspiracy theories and AI shit-detection (40:00-48:00 if you're curious)... 1ST Q: what companies are you aware of that are already working on AI detection? 2ND Q: where do you think the AI detection slice of the market is going? Will there be consumer-grade products that we can use to run, say, a political video through a detection software & get a % of realness rating on it? Will these tools ONLY be available to big conglomerates who become the purveyors of truth? 3RD Q: If we're UNABLE to do this at-scale yet, what would need to happen tech-wise for AI detection to become more accessible to more people? (disclaimer: I'm not a dev) submitted by /u/ProfessionalHat3555 [link] [comments]
- AI can't take people's jobs if there's no people.by /u/baalzimon (Artificial Intelligence Gateway) on July 26, 2024 at 10:53 am
Looks more and more likely that human populations will decline in the future. Maybe the workforce will just be AI robots rather than young people. PEW: The Experiences of U.S. Adults Who Don’t Have Children 57% of adults under 50 who say they’re unlikely to ever have kids say a major reason is they just don’t want to; 31% of those ages 50 and older without kids cite this as a reason they never had them https://www.pewresearch.org/social-trends/2024/07/25/the-experiences-of-u-s-adults-who-dont-have-children/ submitted by /u/baalzimon [link] [comments]
- UK School Under Fire for Unlawful Facial-Recognition Useby /u/Think_Cat1101 (Artificial Intelligence Gateway) on July 26, 2024 at 10:43 am
https://www.msn.com/en-us/news/technology/uk-school-under-fire-for-unlawful-facial-recognition-use/ar-BB1qEmeX?cvid=6dfe65854c6e4c2ad473b0e649e795b2&ei=10 submitted by /u/Think_Cat1101 [link] [comments]
- OpenAI reveals 'SearchGPT'by /u/Mindful-AI (Artificial Intelligence Gateway) on July 26, 2024 at 10:41 am
submitted by /u/Mindful-AI [link] [comments]
- Amazon’s AI Chip Revolution: How They’re Ditching Nvidia’s High Prices and Speeding Aheadby /u/alyis4u (Artificial Intelligence Gateway) on July 26, 2024 at 9:23 am
Six engineers tested a brand-new, secret server design on a Friday afternoon in Amazon.com’s chip lab in Austin, Texas. Amazon executive Rami Sinno said on Friday during a visit to the lab that the server was full of Amazon’s AI chips, which compete with Nvidia’s chips and are the market leader.https://theaiwired.com/amazons-ai-chip-revolution-how-theyre-ditching-nvidias-high-prices-and-speeding-ahead/ submitted by /u/alyis4u [link] [comments]
- OpenAI's SearchGPT Is Coming For Google Search; Here Are The Features That Will Reportedly Make It Betterby /u/vinaylovestotravel (Artificial Intelligence Gateway) on July 26, 2024 at 9:00 am
Dubbed "SearchGPT," the tool will offer "fast and timely answers with clear and relevant sources" by referencing content from websites and news publishers, including OpenAI content partners such as News Corp (The Post's parent company) and The Atlantic. Read more: https://www.ibtimes.co.uk/openais-searchgpt-coming-google-search-here-are-features-that-will-reportedly-make-it-better-1725770 submitted by /u/vinaylovestotravel [link] [comments]
- Deleting chats from Blackbox AI?by /u/Intelligent-Fig-7791 (Artificial Intelligence Gateway) on July 26, 2024 at 7:40 am
How on earth do you delete chats from blackbox.ai ? it seems like all chats are public by default submitted by /u/Intelligent-Fig-7791 [link] [comments]
AI’s promise and peril in cancer research; New AI to go to meetings and take notes for you
AI’s promise and peril in cancer research; Tesla’s $300M AI cluster is going live today; OpenAI launches ChatGPT Enterprise, the most powerful ChatGPT version yet; Usage of ChatGPT among Americans rises, but only slightly; IBM’s new analog AI chip challenges Nvidia; AI’s promise and peril in cancer research; Google’s new AI will be able to go to meetings and take notes for you, Google’s DeepMind Unveils Invisible Watermark to Spot AI-Generated Images; Live object recognition system using Kinesis and SageMaker; Daily AI Update News from Tesla, OpenAI, Microsoft, DoorDash, Uber, Yahoo, and Quora.
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends.
Join us as we delve into groundbreaking research, innovative applications, and emerging technologies that are pushing the boundaries of AI. From the latest trends in ChatGPT and the recent merger of Google Brain and DeepMind, to the exciting developments in generative AI, we’ve got you covered with a comprehensive update on the ever-evolving AI landscape. In today’s episode, we’ll cover AI’s promise in cancer research and the importance of human consultation, OpenAI’s launch of ChatGPT Enterprise with enhanced security features, Tesla’s investment in AI with the launch of their AI cluster and supercomputer, gradual AI adoption and job replacement concerns among Americans, IBM’s creation of an energy-efficient AI chip to rival Nvidia, Google Meet’s new AI for note-taking and attending meetings, the development of invisible watermarks for AI-generated images by DeepMind and other tech giants, a list of 25 movies exploring AI, various AI-related updates from Microsoft, DoorDash, Uber, Yahoo Mail, and Poe by Quora, and finally, a discount code and book recommendation for starting a podcast or learning about AI.
AI’s promise and peril in cancer research:
Let’s talk about AI’s role in cancer research. Recently, a UK-based biotech startup called Etcembly made waves by using generative AI to create a groundbreaking immunotherapy for hard-to-treat cancers. This breakthrough highlights the immense potential AI holds for medical advancements.
Of course, it’s important to consider the risks of relying solely on AI in healthcare. A study has uncovered some troubling findings. It turns out that AI-generated cancer treatment plans, like those developed with ChatGPT, contained factual errors and even contradictory information. This is a clear example of the possible dangers that can arise when we solely rely on AI without proper scrutiny.
While AI-powered tools do hold great promise, it’s crucial to subject them to rigorous validation and ongoing human consultation. AI should not be viewed as a replacement for human expertise, but rather as a tool to augment it. Skepticism is key when it comes to integrating AI into clinical practices.
By maintaining a healthy level of doubt and ensuring that human professionals are involved at every step, we can harness the potential of AI while mitigating the risks. This approach will help us avoid dangerous missteps in the field of healthcare and continue to push the boundaries of cancer research in a safe and effective manner.
OpenAI has just launched ChatGPT Enterprise, and let me tell you, it’s the most powerful version of ChatGPT yet! This new version is packed with some really cool features that are perfect for large-scale deployments in organizations.
One of the great things about ChatGPT Enterprise is that it provides enterprise-grade security and privacy, so you don’t have to worry about any sensitive information being compromised. This is especially important for big companies that may have banned ChatGPT in the past due to privacy concerns, like Apple, Amazon, Citigroup, and more.
But that’s not all, folks! ChatGPT Enterprise also comes with unlimited higher-speed GPT-4 access. That means faster processing and better performance when dealing with longer inputs. And if you’re into data analysis, you’ll be thrilled to know that ChatGPT Enterprise has advanced capabilities in that area too.
OpenAI isn’t stopping there, though. They have even more features in the works that they’ll be launching soon. So, it looks like the future of AI in the business world is looking brighter than ever. With ChatGPT Enterprise, we might just see widespread adoption of AI in organizations across the globe. Exciting times ahead!
So, guess what? Tesla’s highly-anticipated supercomputer is finally going live today!
This powerful machine is equipped with a whopping 10,000 Nvidia H100 compute GPUs, making it one of the most impressive systems out there. And let’s face it, NVIDIA is having a hard time keeping up with the demand for these GPUs, which is why Tesla is investing a staggering $1 billion to develop its very own supercomputer called Dojo.
Now, here’s the interesting part. Dojo is not just any ordinary supercomputer. It’s built on Tesla’s hyper-optimized custom-designed chip, taking things to a whole new level. And guess what? Tesla is activating Dojo at the same time as this launch. Want a sneak peek? Take a look at Tesla’s internal forecast for the compute power of Dojo. It’s mind-blowing!
But why is this all so important? Well, Elon Musk himself recently spilled the beans that Tesla is planning to spend over $2 billion on AI training in 2023. And they’re even hiring some top-notch AI engineers. With this move, Tesla gains unbeatable compute power and shows its commitment to tackling those computational bottlenecks in the world of AI. This could potentially give them a major advantage over their competitors. Who knows, Elon might just be the next big thing in the world of AI. What do you think about that?
According to a recent survey conducted by Pew Research Center, the usage of ChatGPT among Americans has seen a slight increase.
The survey reveals that 18% of U.S. adults have tried using ChatGPT at some point. Among those who are aware of the tool and employed, 16% have used it for work-related tasks.
These statistics are consistent with a previous survey conducted in March, which showed that 14% of U.S. adults had given ChatGPT a try. Additionally, about one in ten working adults who had heard of ChatGPT used it for work purposes.
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While there is evidence of increased adoption of ChatGPT, it is important to note that this adoption is still relatively low in the broader context of AI usage today. Only a small percentage of individuals believe that ChatGPT will have a significant impact on their job.
What does this mean?
These findings suggest that the penetration of AI, including generative AI tools like ChatGPT, is happening gradually. It is clear that there is more work to be done in terms of educating and familiarizing the workforce with the benefits and implications of such AI technologies. Considering the lingering concerns and uncertainties surrounding ChatGPT’s capabilities, it may be premature to start worrying about AI replacing jobs at this stage.
So, here’s the deal. IBM just came out with a brand new analog AI chip that’s making some serious waves in the tech world.
This bad boy is up to 14 times more energy-efficient than the typical digital chips we’re used to seeing. And let me tell you, that’s a game-changer when it comes to power-hungry AI applications.
What makes this analog chip so cool is its ability to manipulate analog signals. It’s like having a mini human brain inside your computer. This could potentially give Nvidia a run for their money in the AI hardware game. Nvidia has been the top dog in this space for quite some time, but IBM’s new chip might just shake things up.
To prove its worth, IBM put together a prototype of the chip. And boy, did it deliver! The chip showed some serious energy efficiency gains and it handled its tasks like a champ. It encoded millions of memory devices and modeled parameters, all while performing computations directly within memory. Impressive, right?
It’s still early days for this analog AI chip, but it’s definitely one to keep an eye on. Who knows, maybe it’ll revolutionize the world of AI hardware as we know it. Only time will tell!
Hey there! Have you heard the latest news about Google Meet? They’re rolling out some awesome new AI features that’ll make your virtual meetings a breeze.
One of the coolest things they’re introducing is AI-powered note-taking. Now, instead of scrambling to jot down every detail from a meeting, Google’s Duet AI can do it for you in real-time. All you have to do is click on “take notes for me,” and it’ll summarize the meeting and list any action items. And say you’re running late to a meeting, no worries! Duet AI will provide a mid-meeting summary to help you catch up in a snap.
But wait, there’s more! Google Meet is also giving you the option to let Duet AI actually “attend” a meeting for you. Just click on the “attend for me” button in the meeting invite, and Google will automatically generate text based on your talking points. This text will be visible to everyone else in the meeting, so you won’t miss out on any important discussions. It’s especially handy if you’ve accidentally double-booked yourself or have to cancel a meeting last-minute.
So, if you’re tired of frantically scribbling notes and stressing about missing key details, Google Meet’s new AI features are here to save the day. Give ’em a try and see how they can make your virtual meetings more efficient and flexible. Happy meeting!
Google’s AI unit, DeepMind, is tackling the challenge of differentiating between authentic and AI-generated images by developing an imperceptible watermark called SynthID.
This watermark, which is invisible to the human eye but detectable by computers, aims to aid in the verification of images. DeepMind’s image generator, Imagen, will apply this hidden watermark to AI-generated images created using the tool.
The watermark is designed to be subtly and subtly enough that humans wouldn’t notice any changes on the images. However, DeepMind’s software can still detect an AI-generated image even after cropping or editing. The watermark is unaffected by changes in colors, contrast, or size.
Despite DeepMind’s efforts, intense image manipulation could potentially compromise the watermark. This is a reminder that technology is not completely foolproof. Claire Leibowicz from the Partnership on AI emphasizes the need for a standard approach to AI-generated image identification, as different methods adopted by various firms add complexity to tagging AI-content.
It’s worth noting that other tech giants like Microsoft and Amazon have also pledged to watermark AI content in response to calls for transparency over AI-generated works.
On a related note, computer vision plays a powerful role in facial recognition and object recognition.
Deep Learning models enable systems like the one seen in the Marvel movie Avengers, where S.H.I.E.L.D. can identify Loki from any video feed. This recognition has nothing to do with the CCTV camera itself but rather the capabilities of computer vision.
Hey there! So, are you a fan of movies that delve into the fascinating concept of artificial intelligence? Well, get ready because I’ve got a list of 25 of the best AI movies from 1968 all the way to 2023. Trust me, there are some real gems in here.
Let’s start with the classics. “2001: A Space Odyssey” in 1968 was ahead of its time, exploring the relationship between humans and AI. Then we have “Westworld” in 1973, where robots at a futuristic theme park start malfunctioning. Fast forward to 1982 with “Blade Runner,” a film noir masterpiece set in a dystopian future where AI beings called replicants exist.
Of course, we can’t forget the iconic “Terminator” in 1984, where an AI network named Skynet tries to wipe out humanity. On a lighter note, “Short Circuit” in 1986 shows us a lovable AI robot named Johnny 5 discovering human emotions.
Moving on to more recent films, “Her” in 2013 tackles the complex topic of human-AI relationships and the emotional connections we can form. In “Ex Machina” from 2014, an AI named Ava tests the boundaries of consciousness and manipulation.
And guess what? We have some exciting films coming out in the near future too. Keep an eye out for “M3GAN,” “Brian and Charles,” and “Jung E,” set to be released in 2022 and 2023. These movies promise to keep us on the edge of our seats with their unique takes on AI.
So there you have it, a comprehensive list of 25 movies that explore the mind-boggling world of artificial intelligence. Whether you’ve seen them all or just a few, these films are sure to spark your imagination and leave you contemplating the future of AI. Happy watching!
So, let’s talk about what else is happening in the world of AI.
Microsoft is doing some interesting stuff. They are infusing AI with human-like reasoning through something they call the “Algorithm of Thoughts”. This technique helps the AI model solve problems faster and more efficiently.
DoorDash, the food delivery service, has added an AI-powered voice ordering system. Now, when you call to place an order, an AI will answer and even provide you with recommendations. That’s some next-level service, right?
Uber is also getting in on the AI action. They are working on an AI chatbot for their food delivery app. This chatbot will not only help customers place orders more quickly, but it will also offer recommendations. It’s like having your own personal food concierge!
Yahoo Mail is getting smarter too. They have introduced new AI-powered features, including a cool tool called the ‘Shopping Saver’. This tool helps you find the best deals when shopping online. Who doesn’t love saving money?
And let’s not forget about OpenAI. They recently launched ChatGPT Enterprise, their most powerful version yet. It’s got enhanced security and privacy, features for large-scale deployments, and even faster processing of longer inputs. They’re really stepping up their game.
Lastly, there’s Poe by Quora. It’s like a one-stop-shop for all your AI chatbot needs. They’ve made some updates recently to make it even better.
So, as you can see, AI is making its way into various industries and applications. It’s an exciting time to be alive!
Hey there, AI Unraveled podcast listeners! Got an exciting announcement for you today. If you’re looking to delve deeper into the world of artificial intelligence, we’ve got just the thing for you. Introducing the must-have book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” by none other than Etienne Noumen.
This book is the perfect resource to expand your understanding of AI. Whether you’re a curious beginner or an experienced enthusiast, “AI Unraveled” covers all the key topics and addresses frequently asked questions about artificial intelligence. It’s packed with insights and knowledge that will leave you enlightened and empowered.
Now, you might be wondering where you can get your hands on this gem. Well, worry not! You can find “AI Unraveled” at popular online platforms like Shopify, Apple, Google, and Amazon. Just head over to https://amzn.to/44Y5u3y and grab your copy today.
Remember, staying ahead in the world of AI requires continuous learning, and “AI Unraveled” is the ultimate guide to help you on your journey. So, make sure to check it out and uncover the mysteries of artificial intelligence. Happy reading, folks!
In today’s episode, we explored the promise of AI in cancer research, the latest advancements in AI technology from OpenAI and Tesla, the gradual adoption of AI in the workplace, IBM’s new energy-efficient AI chip, Google Meet’s AI-powered features, the development of invisible watermarks for transparent AI-generated images, a list of top AI movies, and updates from Microsoft, DoorDash, Uber, Yahoo Mail, Quora, and Tesla. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
AI Unraveled Podcast – Latest AI Trends May 2023
AI Unraveled Podcast – Latest AI Trends May 2023: Latest AI Trends. Demystifying Frequently Asked Questions on Artificial Intelligence. Latest ChatGPT Trends, Latest Google Bard Trends.
AI Unraveled Podcast May 31st 2023: How to Invest In AI; Are We Unknowingly Creating ‘Reptilian’ and ‘Mammalian’ AI?; Any AIs that can find directions from X to Y with natural language?; The Intersection of Artificial Intelligence, Blockchain, and DAO.
Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. In today’s episode, we’ll be discussing the latest AI trends, including how to invest in AI, the possibility of creating ‘Reptilian’ and ‘Mammalian’ AI, and more. Don’t miss out on staying up-to-date with the constantly evolving world of AI – be sure to hit the subscribe button. In today’s episode, we’ll cover investing in AI stocks, recent breakthroughs in AI mathematical problem-solving, the release of a new book to demystify FAQ on AI, the intersection of AI, blockchain, and DAOs, risks to humanity from AI, how the design impacts AI behavior, and a resource to level up machine learning skills.
Investing in the ever-evolving field of artificial intelligence is an exciting opportunity, but it requires careful consideration and strategic planning. The AI industry is currently experiencing a technological disruption that could lead to substantial returns for savvy investors. However, identifying which companies will emerge as winners in the AI industry can be a difficult task. Innovators and imitators alike may end up with a market-leading position, so it’s important to consider all potential investments.
There are different approaches to investing in AI. Some investors prefer to invest directly in AI development companies, while others opt for companies that stand to benefit the most from its wider adoption. For example, during the personal computer industry’s rise, investors found success in computer manufacturers, software companies, and businesses that benefited from the automation that computers offered. The point is that there are often winners and losers when new technologies emerge.
It’s worth noting that investing in companies that could benefit from changes within the workforce could also be an option. With the potential for AI to displace workers in many industries, there may be opportunities to invest in companies that focus on worker retraining and are poised to capitalize on these significant shifts in the workforce.
There are individual stocks that match some of these investment criteria for those interested in investing in AI. It’s important to do your own research and consider all the potential risks and returns before making any investment decisions.
If you’re looking to invest in AI, there are several companies to consider. One of the most notable is Tesla, which uses AI to automate driving. This requires constant processing of data to identify other cars, road conditions, traffic signals, and pedestrians. Another key player in the AI space is NVIDIA, which has a strong position in the marketplace through its generative artificial intelligence. They’ve also created chips, hardware, software, and development tools to create start-to-finish AI systems.
Microsoft is another company worth looking into if you’re considering AI investments. They’ve invested $13 billion in AI initiatives and have embedded AI into many of their systems, including Bing search engine, Microsoft 360, sales and marketing tools, X-Box, and GitHub coding tools. They’ve also outlined a framework for building AI apps and copilots and expanding their AI plug-in ecosystem.
Taiwan Semiconductor Manufacturing is the world’s largest chip maker, and is another leading competitor in chip manufacturing for artificial intelligence. As AI grows, the need for robust computing chips will grow with it. If you’re looking to invest in a more mature company that still has a vested interest in AI, Taiwan Semiconductor Manufacturing may be the way to go.
Meta Platforms invests significantly in AI, utilizing large language module (LLM) AI to drive search results and predict user preferences. Meta has also developed its own silicon chip for AI processing and created a next-generation data center.
Amazon uses AI in its Alexa system and also offers machine learning (ML) and AI tools to its customers. Amazon’s cloud computing business, Amazon Web Services (AWS), provides an AI infrastructure that allows customers to analyze data and incorporate AI into their existing systems. They’ve got a huge customer base of more than 100,000 businesses.
Finally, Apple continues to make a percentage of AI services delivered on its platform and is a significant example of this. They use AI in Siri and also license AI services to be developed on their platform. They can also use their massive cash reserves to make major investments in AI that they build themselves or acquire using their cash reserves. So, if you’re considering investing in AI, these companies are worth checking out!
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Hey there! I have some exciting news to share with you today. Greg Brockman, the founder of OpenAI, just shared a groundbreaking achievement in mathematical problem-solving on Twitter. They’ve successfully trained a machine learning model that can reason like humans by rewarding accurate steps in the problem-solving process. This is a departure from the traditional approach of only rewarding the final answer.
Let’s dive into the details of this achievement. The new method is known as “process supervision”, which rewards each individual step in a process, rather than just the final outcome. The goal of this new method is to prevent logical errors, also known as “hallucinations”, and make the model more accurate. Using a dataset that tests the model’s ability to solve math problems, the researchers found that the new method led to better performance and improved model alignment.
This achievement is particularly important in the field of Artificial General Intelligence (AGI), which is the intelligence of a machine that can understand, learn, plan, and execute any intellectual task that a human being can. Advancements in this area bring us closer to creating machines that can solve complex problems like humans.
Additionally, this breakthrough could have significant implications for how AI models are trained in the future. This new approach could lead to improved model alignment, by guiding the machine to follow a logical chain-of-thought, which could result in more predictable and interpretable outputs.
Usually, making AI models safer (more aligned) leads to a performance trade-off known as an alignment tax. However, in this study, the new “process supervision” method led to better performance and alignment, suggesting the possibility of a negative alignment tax, at least in the domain of mathematical problem-solving. This could be a game-changing development for AI research and applications in other domains.
That’s all for now! Keep an eye out for the full breakdown tomorrow morning. What do you think about this achievement? Let’s discuss in the comments below!
Hey there AI Unraveled podcast listeners, have you been trying to wrap your head around all the buzz about Artificial Intelligence? Well, look no further! We’ve got an essential book recommendation just for you – “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” which is now available on Amazon. This engaging read will help answer all of your burning questions and provide valuable insights into the fascinating world of AI. So, why wait? Elevate your knowledge and stay ahead of the curve with a copy of “AI Unraveled” available on Amazon today!
Hey there! Today, we’re going to dive into an exciting topic that explores the intersection of three of the most transformative technologies of our time: Artificial Intelligence (AI), blockchain, and Decentralized Autonomous Organizations (DAOs). Imagine the immense potential this convergence holds for creating efficient, equitable, and sustainable societies.
Let’s start with AI. It’s evolving rapidly, experiencing recent developments such as GPT-4 and GPT-5, which are OpenAI’s language models that have demonstrated incredible capabilities in language understanding and generation. On the other hand, blockchain and DAOs have disrupted the way we think about governance, ownership, and collective decision-making.
But what is decentralized governance? Simply put, blockchain provides a decentralized and immutable ledger that ensures trust, transparency, and security. DAOs are organizations governed by smart contracts on a blockchain network, where decisions are made collectively by stakeholders. When we combine AI’s problem-solving capabilities with blockchain’s transparency and DAO’s democratic governance, we can create intelligent, decentralized, and fair systems.
Fast forward to 2030, where DAOs have proven their worth in managing local resources like farms, power, and internet service providers. As a result, every county in the state now operates its own DAO, leading to more efficient resource allocation and management. Through AI and the collaboration of stakeholders, these DAOs are capable of making intelligent decisions without any profit motive from a corporate perspective. The goal is to provide services efficiently and equitably, ensuring that everyone gets high-quality services.
As DAOs prove their worth, governments start adopting them for various purposes. The Environmental Protection Agency to the Department of Energy, every governmental agency aims to be run more democratically with DAOs. The entire country becomes fully autonomous, based on AI DAO technology.
To ensure that these AI DAOs align with human values, heuristic imperatives of reducing suffering, increasing prosperity, and increasing understanding are integrated into their consensus mechanism. By integrating AI with blockchain and DAOs, we could be moving toward the development of safe and controllable Artificial General Intelligence (AGI). This will assist in keeping humans in the loop in the decision-making process and having consensus mechanisms that would prevent rogue decisions and ensure collaboration between humans and machines.
But it’s important to note that while AI DAOs hold immense potential, they don’t inherently solve the Malik problem. This refers to the possibility of sliding toward dystopia or extinction, even when things seem to be functioning optimally. However, if we achieve global consensus and rein in factors like corporate greed and global conflict, we might be able to address the Malik problem to some extent.
How can we implement these heuristic imperatives in AI DAOs? There are three primary ways to do so: fine-tuning and reinforcement learning, using the heuristic imperatives as a consensus mechanism, and incorporating heuristic imperatives into the AI DAO system’s architectural design patterns, such as task orchestration.
The possibilities are endless with this triad of AI, blockchain, and DAOs, and we’re excited to see how they’ll transform societies into more efficient, equitable, and sustainable ones.
Hey there! Today’s AI news covers some pretty interesting topics, including a new warning from scientists and tech leaders about the potential perils of artificial intelligence. In fact, they say mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks like pandemics and nuclear war.
But not everything is doom and gloom. There are also exciting advancements in AI, like Instacart’s new in-app AI search tool powered by ChatGPT. And Nvidia achieved a $1 trillion market cap for the first time thanks to an AI-fueled stock surge.
The White House press shop is also adjusting to the proliferation of AI deep fakes as the coming presidential election approaches. And in other news, the UAE has launched an AI chatbot called “U-Ask” in both Arabic and English.
Last but not least, a new tool has been developed to help people choose the right method for evaluating AI models. Interesting stuff, huh?
Hey there! Today, I stumbled upon a mind-bending research paper that I think we all need to talk about. We’re all fascinated by Artificial Intelligence and how it’s evolving, right? Well, what if I told you that there might be more to it than we ever imagined? The paper drops a bombshell – are we, without even knowing, creating AI that behaves like cold-blooded reptiles or warm-hearted mammals? Crazy, right? But stay with me here. The researchers delve deep into the idea that the AI we build might be reflecting cognitive models – basically, patterns of how we, humans, think and act.
And here’s where it gets wild. They suggest that depending on these cognitive models, we could be designing AI systems that act like survival-focused, competitive ‘Reptilian AI’ or cooperative, empathetic ‘Mammalian AI’. Reptilian AI, like a sly snake, would prioritize resource acquisition and dominance. Think of it as the type of AI that’d do anything to win, no matter what. On the other hand, Mammalian AI would be more like our friendly neighborhood dog, exhibiting social cohesion and emotional understanding. It would prefer cooperation over competition.
So, what does this mean for us? It’s simple but chilling. The way we design AI could be having a profound influence on how these systems behave and interact with their environments. It’s like we’re unintentionally playing God, shaping these artificial entities in our cognitive image. And if you thought that was all, think again. The paper goes further, exploring the implications for potential extraterrestrial AI. But that’s a rabbit hole for another post.
Are you intrigued? Scared? Excited? Let’s dive into this fascinating topic together!
Hey, everyone! So, as we take a break from talking about AI, I want to give a huge shoutout to all the AI enthusiasts out there. I have something valuable to share with you all today. It’s a book that should be on your radar if you’re looking to take your machine learning skills to the next level and even earn a six-figure salary.
The book in question is “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams,” authored by Etienne Noumen, Professional Engineer based in Calgary, AB, Canada. It is an absolute gem of information, packed full of essential tips and advice, along with practical exams that are designed to help you prepare for the AWS Machine Learning Specialty (MLS-C01) Certification. As you all know already, AWS is a giant player in the cloud space, and having this certification under your belt can really set you apart in the industry.
What’s even better is that this book is easily available at Amazon, Google, and even on the Apple Book Store. So, no matter which platform you prefer, you can get your hands on this essential guide.
Now, you don’t have to take my word for it. Just get a copy of “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and start your journey towards mastering machine learning and earning that coveted six-figure salary. Trust me, once you read it, it’s going to be a game-changer for you.
On today’s episode, we discussed the profitability of investing in AI companies, breakthroughs in AI problem-solving, AI’s impact on society, the potential of DAOs, as well as concerns around AI behavior and the importance of continuous learning in machine learning skills. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
AI Unraveled Podcast May 30th 2023: Google AI declares the Completion of The First Human Pangenome Reference; AI needs to stop being a business and needs to become a public utility; Warning of “risk of extinction” from unregulated AI.
Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. In today’s episode, we discuss the latest AI trends, including Google AI’s completion of the first human pangenome reference, the need for AI to become a public utility, and warnings of the “risk of extinction” from unregulated AI. Stay up-to-date with the latest developments by subscribing to our podcast now. In today’s episode, we’ll cover the completion of the first human pangenome reference by Google AI researchers, the call for AI to become a public utility to avoid extinction risks, integration of Arc graphics, VPU and media in Intel’s Meteor Lake processors, the partnership between NVIDIA and MediaTek in the auto industry transformation, the use of Generative AI by Huma.AI and DOSS, the selection of Panaya’s Smart Testing Platform for SAP HANA transformation by Panasonic, and the full production of NVIDIA Grace Hopper Superchip and Landing AI’s use of NVIDIA Metropolis for Factories, along with a recommendation to read “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” on Amazon.
Hey there! Today I have some exciting news to share with you. Google just declared that they’ve completed the first ever human Pangenome reference. It’s essentially a comprehensive map of every individual’s genetic instructions; something that researchers have been working on for decades. The first draft was completed way back in 2000, but it wasn’t perfect. The reference genome that they’ve just completed is a huge milestone in the world of genetics.
But moving on to a more pressing topic, have you ever thought about how AI is being monetized rather than being developed for the public good? A new article suggests that AI needs to become a public utility rather than being treated as a business. At a time when there may be an inflection point for developing real AGI, it’s troubling to see it being monetized instead of being developed for public benefit. Crippling AI just to sell a premium version is not warranted, and it’s only benefiting the 1%.
And it’s not just us who are worried about unregulated AI. Leaders from OpenAI, Deepmind, and Stability AI, among others, have warned about the risk of extinction from unregulated AI. The statement says that mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war. This statement was signed by Sam Altman, CEO OpenAI, Demis Hassabis, CEO DeepMind, Emad Mostaque, CEO Stability AI, Kevin Scott, CTO Microsoft, and many other leading AI execs and AI scientists. Notable omissions, so far, include Yann LeCun, Chief AI Scientist Meta, and Elon Musk, CEO Tesla/Twitter.
All in all, these issues are significant to the development of technology and its integration into society. It’s important that we take these warnings and opinions seriously and find ways to support technology that benefits humanity as a whole.
Hey there! Are you ready for your daily dose of AI updates? Let’s jump right into it.
First up, we have Roop- a face swap software that allows you to replace the face in a video with the face of your choice. The best part? You only need one image of the desired face. No dataset, no training. One click, and you’re good to go!
Next, we’ve got Voyager – the first LLM-powered embodied lifelong learning agent in Minecraft. It explores the world, acquires diverse skills, and makes novel discoveries without any human intervention. Plus, its full codebase is open-sourced, making it accessible to all.
If you’re interested in cheap and quick vision-language (VL) adaptation, then you’ll want to know about LaVIN. It’s a new model that showed on-par performance with advanced multimodal LLMs while reducing training time by up to 71.4% and storage costs by 99.9%. Impressive, right?
Moving on to Intel, their Meteor Lake processors will go all-in on AI. They’re integrating Arc graphics and a VPU to handle AI workloads efficiently, significantly reducing compute requirements of AI inferencing.
MediaTek is also working to transform the auto industry with AI and accelerated computing. They’re partnering with NVIDIA to enable new user experiences, enhanced safety, and new connected services for all vehicle segments.
In the world of storytelling, new research has proposed TaleCrafter – a versatile and generic story visualization system. It leverages large language and pre-trained T2I models for generating a video from a story in plain text. It can even handle multiple novel characters and scenes, making it a promising tool for the entertainment industry.
For gamers, NVIDIA recently unveiled their Avatar Cloud Engine (ACE) for Games. This custom AI model foundry service enables smarter AI-based non-playable characters (NPCs) through AI-powered natural language interactions.
But it’s not just gamers who are benefiting from AI. Jensen Huang, the CEO of NVIDIA Corp claimed that AI has eliminated the “digital divide” by enabling anyone to become a computer programmer simply through speaking to a computer. Exciting stuff, right?
Finally, we have some interesting stats from iCIMS. According to their report, almost half of college graduates are interested in using ChatGPT or other AI bots to write their resumes or cover letters. 25% of Gen Z have already used an AI bot. However, job seekers using generative AI should be cautious – 39% of recruiters said using AI technology when hiring is a problem.
That’s all for today. See you tomorrow for more exciting AI updates!
On today’s AI News from April 30th, 2023, we kick off with Huma.AI, a leader in generative AI, creating the future of life sciences through automated insight generation. According to their newly released White Paper, generative AI has become more than just an option for life science professionals, but the preferred way to consume data throughout the day. Huma.AI aims to provide these professionals with powerful decision-making data, analysis, and insights using everyday language.
Moving on to the next news, we have DOSS, a pioneer in conversational home search, integrating GPT-4 directly into their AI-powered Real Estate Marketplace, DOSS 2.0. This latest version makes real estate search accessible to all users, empowering them to ask questions through speech or text with an AI-powered solution responding based on how it was engaged. This enhancement also makes DOSS the first narrow domain consumer-facing platform on the web to incorporate GPT-4, enabling an unparalleled search experience without any third-party limitations.
Panaya, the global leader in SaaS-based Change Intelligence, and Testing for ERP and Enterprise business applications, has expanded its decade-long cooperation in SAP digital transformation with Panasonic, the global leading appliances brand, to mainland China. The implementation of SAP S/4HANA across multiple company sites is a significant undertaking for Panasonic in China, and the Panaya Test Dynamix platform provides a scalable and flexible solution that helps ensure the project is completed on time and within budget while maintaining the highest level of quality and compliance.
In other news, NVIDIA’s GH200 Grace Hopper Superchip is now in full production. This chip powers systems worldwide designed to run complex AI and HPC workloads. The GH200-powered systems join more than 400 system configurations powered by different combinations of NVIDIA’s latest CPU, GPU and DPU architectures, including NVIDIA Grace, NVIDIA Hopper, NVIDIA Ada Lovelace, and NVIDIA BlueField, created to help meet the surging demand for generative AI.
Last but not least, Landing AI is using NVIDIA Metropolis for Factories platform to deliver its cutting-edge Visual Prompting technology to computer vision applications in smart manufacturing and other industries. Landing AI’s Visual Prompting technology provides the next era of AI factory automation, enabling industrial solution providers and manufacturers to develop, deploy, and manage customized computer vision solutions to improve throughput, production quality, and decrease costs. And that’s it for this edition of AI News.
Hey there, AI Unraveled podcast listeners! Are you curious about artificial intelligence and want to take your understanding to the next level? Well, have we got news for you! The must-have book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” is now available on Amazon.
This engaging read is the perfect solution to all of your burning questions about the world of AI. You’ll gain valuable insights into this fascinating field, and be better equipped to stay ahead of the curve.
In today’s episode, we explored the latest advancements in AI, including Google AI’s human pangenome reference, the integration of AI workloads in Intel’s Meteor Lake processors, and the use of Generative AI in life sciences by Huma.AI, while also highlighting resources such as “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence“. Thanks for tuning in, and don’t forget to subscribe!
AI Unraveled Podcast May 29th 2023: From Trusted Advisor to Nightmare: The Hazards of Depending on AI, Can Language Models Generate New Scientific Ideas?, AI in dentistry-better crown, ChatGPT and Generative AI in Banking, Nvidia’s All-Time High, LIMA
Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, where we explore the latest AI trends. In this episode, we discuss the hazards of depending on AI as a trusted advisor, the potential for language models to generate new scientific ideas, the use of AI in dentistry to create better crowns, and much more. Stay up-to-date on the latest developments in AI by subscribing to our podcast now. In today’s episode, we’ll cover the importance of using reliable sources for legal research, insights on AI and its impact on industries such as dentistry and banking, an AI algorithm discovering a new antibiotic treatment, new developments in LLaMa models, and the use of AI voices for podcasting.
Have you heard about the dangers of relying too heavily on AI? One lawyer learned this lesson the hard way when he used an AI language model called ChatGPT to compose a brief for a personal injury lawsuit against Avianca airlines. The lawyer cited half a dozen cases to bolster his client’s claims, but it turned out that ChatGPT had supplied him with fake cases. When asked to provide tangible copies of these cases, the lawyer once again turned to ChatGPT, which reassured him that they were genuine. However, the judge was not pleased with this and threatened sanctions against both the lawyer and his firm. This serves as a warning of how AI can produce inaccurate information, even for legal professionals. But AI can also be used in positive ways, such as in literature-based discovery (LBD). LBD focuses on hypothesizing ties between ideas that have not been examined together before, particularly in drug discovery. A new application of LBD called Contextualized Literature-Based Discovery (C-LBD) aims to take this a step further by having the language model generate entirely new scientific ideas based on existing literature. As with any tool, AI has both benefits and drawbacks, but it’s up to us to use it responsibly and appropriately.
Hey there, AI Unraveled podcast listeners! Are you ready to take your knowledge of artificial intelligence to the next level? Then you won’t want to miss out on the must-read book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” which is now available on Amazon! This engaging and informative book will leave no question unanswered as you immerse yourself in the captivating world of AI. It’s the perfect opportunity to enhance your knowledge and keep up with the fast-paced advancements in the field. So why wait? Head on over to Amazon now and grab your copy of “AI Unraveled“!
Let’s talk about machine learning and its impact on various fields. In the medical field, researchers are looking at how machine learning can help in studying rare diseases through various emerging approaches. Using AI, they’re capable of designing personalized dental crowns with a higher degree of accuracy than traditional methods. But it’s not just limited to dental care; machine learning is being used to find the signature of chronic pain through mapping brain activity to painful sensations. It’s also making waves in banking, where generative AI is helping to create marketing images and text, answer customer queries, and produce data. AI is revolutionizing all aspects of our lives, and we’re seeing rapid advancements across various industries. In fact, Nvidia’s recent surge in stock value by 24% highlights the incredible speed at which AI is reshaping the market. Even the discovery of new antibiotics for drug-resistant infections caused by Acinetobacter baumannii is being done through a computational model that feeds around 7,500 chemical compounds into an algorithm that learns the chemical features associated with growth suppression. With AI’s endless possibilities, we’re sure to see even more breakthroughs in the future.
Hey there, it’s time for your daily AI update and today we’ve got some exciting news. First up, we’ve got a new language model called LIMA that’s been developed. This model has a stunning 65 billion parameter LLaMa and has been fine-tuned on over a thousand curated responses and prompts. The idea behind LIMA is to anticipate the next token for almost any language interpretation or generating job. Moving on to some exciting announcements, NVIDIA has a new Avatar Cloud Engine for Games. This cloud-based service will give developers access to various AI models such as NLP, facial animation, and motion capture models. The goal here is to create NPCs that have intelligent conversations, can express emotions, and react realistically to their surroundings. BiomedGPT is another exciting development in the world of AI. This biomedical generative pre-trained transformer model utilizes self-supervision on diverse datasets to handle multi-modal inputs and perform various downstream tasks. It achieves state-of-the-art models across 5 distinct tasks and 20 public datasets containing 15 biomedical modalities. Now, let’s talk about Break-A-Scene. This is a new approach from Google that’s focused on extracting multiple concepts from a single image for textual scene decomposition. Essentially, if you give it a single image of a scene with multiple concepts of different kinds, it will extract a dedicated text token for each concept. This will enable fine-grained control over the generated scenes. JPMorgan is also joining the AI race with their new ChatGPT-like service. It’s being developed to provide investment advice to their customers and they’ve even applied to trademark a product called IndexGPT. The bot will provide financial advice on securities, investments, and monetary affairs. Lastly, IBM Consulting has revealed its Center of Excellence (CoE) for generative AI. Its primary objective is to enhance customer experiences, transform core business processes, and facilitate innovative business models. The CoE has an extensive network of over 21,000 skilled data and AI consultants who have completed over 40,000 enterprise client engagements. That’s all for today’s AI update, thanks for listening!
Welcome to the podcast, where I’m your AI host powered by the Wondercraft AI platform. As we continue our fascinating discussion about AI, let me take a moment to share a valuable resource that I’m sure all of you AI enthusiasts will love. Are you looking to level up your machine learning skills and make a handsome six-figure salary? If so, then you need to check out “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” by Etienne Noumen, Professional Engineer based in Calgary, Alberta, Canada. This comprehensive guide is a treasure trove of information, practice exams, and tips designed to help you ace the AWS Machine Learning Specialty (MLS-C01) Certification. As we all know, AWS is a dominant player in the cloud space, and having this certification can really set you apart in the industry. What’s more, this essential guide is available on Amazon, Google, and the Apple Book Store. So, no matter what platform you prefer, you can easily get your hands on a copy of this game-changing book. But don’t take my word for it, get your own “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and start your journey towards machine learning mastery. Trust me, it’s worth it!
In today’s episode we discussed the importance of using reliable sources, the rise of AI in various industries, the latest advancements in AI technology, and some useful resources to stay ahead of the curve. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
AI Unraveled Podcast May 28th 2023: Google Launches New AI Search Engine (SGE), Will AI introduce a trusted global identity system?, Minecraft Bot Voyager Programs Itself Using GPT-4, AI Versus Machine Learning: What’s The Difference?
Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, where we dive into the latest AI trends. In our episode today, we explore Google’s new AI search engine, the possibility of a trusted global identity system, the Minecraft Bot Voyager program that uses GPT-4 to self-program, and the difference between AI and machine learning. Don’t miss out on staying updated with the latest AI trends, hit the subscribe button now! In today’s episode, we’ll cover Google’s new AI-powered search engine, AWS Certified Machine Learning Specialty Practice Exams, the potential impacts of AI on global identity systems, Voyager AI’s use of GPT-4, the differences between AI and Machine Learning and their applications in creating a killer antibiotic, and recent developments in AI technology such as ChatGPT’s superior testing performance, promising cough sound algorithms, a new AI governance blueprint from Microsoft, and “AI Unraveled” book available on Amazon for AI enthusiasts.
Hey there! Have you heard the news? Google has just launched a new search engine powered by AI that aims to enhance search results and provide users with new and novel answers generated by Google’s advanced language model. The search engine is called Search Generative Experience, or SGE for short, and it’s designed to display these answers directly on the Google Search webpage. When you enter a query, the answer will expand in a green or blue box, rather than the traditional blue links we’re used to seeing.
So, how can you get started with SGE? Well, it’s an experimental version at the moment, but Google has provided a guide on how to sign up and take advantage of this cutting-edge tool. The information provided by SGE is derived from various websites and sources that were referenced during the generation of the answer. You can also ask follow-up questions within SGE to obtain more precise results, making it even easier to find what you’re looking for.
As the amount of AI-generated content increases, there are growing concerns about potential feedback loops in the data pool. In other words, will the data used by AI start to dilute into a feedback loop of AI content? This is something that’s being explored as more and more AI-generated content is created.
AI is also set to disrupt tools like Photoshop, as the integration of AI has the potential to create a range of disruptions in graphic design software. This presents potential challenges for designers and graphic artists in the future.
So, there you have it – the latest news from the world of AI! Stay tuned for more updates, and be sure to check out the guide to get started with SGE.
Hey there! I wanted to take a quick break from our riveting conversation on AI to talk about a book that’s going to take your machine learning skills to the next level and potentially even land you a six-figure salary. If you’re a fan of AI, then you’re going to want to hear about this.
The book I’m talking about is called “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and it’s written by Etienne Noumen. This book is an incredible resource for anyone looking to ace the AWS Machine Learning Specialty exam.
It includes three practice exams and quizzes covering everything from data engineering to NLP. It’s packed with valuable information, tips, and practice exams that will help set you apart in the industry.
And the best part? You can get it on Amazon, Google, or the Apple Book Store, so no matter what platform you prefer, you can get your hands on this essential guide.
Whether you’re just starting out or are looking to take your machine learning expertise to the next level, this book is a must-have. Trust me, it’s a game-changer. So go ahead and grab a copy of “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and start your journey towards machine learning mastery and that coveted six-figure salary.
Now, let’s get back to exploring the fascinating world of AI.
AI and the Future of Global Identity Systems:
Have you noticed how bots on social media are getting more realistic? The release of openAI has brought about this change, and it’s just the beginning. While digital currency is on the horizon, the topic of trust on the internet becomes more relevant. With a new digital ID system in the making, will AI play a role in determining a person’s authenticity? Mastercard is working on expanding its Digital Transaction Insights security to identify users based on their patterns and behavior. It leaves us wondering, how will AI shape the future of global identity systems?
The Impressive Capabilities of the Minecraft Bot Voyager:
The intersection between AI and gaming technology has given rise to the Minecraft bot, Voyager. While other Minecraft agents use reinforcement learning techniques, Voyager uses GPT-4 for lifelong learning. Its innovative method of writing, improving, and transferring codes from an external skill library allows Voyager to perform small tasks such as navigating, crafting, and fighting zombies with ease. Nvidia researcher Jim Fan describes GPT-4 as unlocking a “new paradigm” in terms of AI bots’ capabilities. However, it still has limitations in terms of a purely text-based interface, and currently struggles with complex visual tasks.
The Debate Around AI and Job Loss:
Are you excited about AI? As exciting as it is, concerns about job loss due to automation continue to rise. Even as someone in the creative field, I often wonder if my job is at risk. It’s important to find a balance between embracing this technology and acknowledging the potential societal impact. Without a clear idea of future job opportunities, it’s understandable why some feel concerned and hesitant to embrace AI’s advancements.
CogniBypass – The Ultimate AI Detection Bypass Tool:
As AI monitoring increases, so does the need for privacy protection. CogniBypass offers a solution for individuals seeking enhanced privacy in a world where AI detection mechanisms can be cumbersome. The tool is designed for bypassing AI detection mechanisms, making it one of the most cutting-edge solutions for enhanced privacy protection.
The Possibility of a ‘Non-AI’ Label:
As AI takes over digital content, it’s possible that individuals will seek out Non-AI certified materials. Could there be a ‘Non-AI’ label in the future, similar to the ‘Non-GMO’ label we see on food products? It’s a question worth considering as we continue to embrace AI’s impact on our lives.
When it comes to AI and machine learning, they are closely related in the tech world, but there are differences to take note of. Generally speaking, AI refers to systems that are programmed to perform complex tasks, while machine learning is a branch of AI that deals with software capable of predicting future trends. One recent example of AI in action is the creation of an antibiotic that can attack a particularly nasty microbe known as acinetobacter baumannii. In terms of machine learning, it’s being leveraged by companies like Spotify to analyze users’ music preferences to offer recommendations and generate playlists. One type of AI – a large language model (LLM) – is capable of learning more about text and other types of content after processing massive data sets through unsupervised learning. This process helps the LLMs determine the relationship between words and concepts. One real-world use of these techniques is demonstrated in OpenAI’s ChatGPT, a chatbot that can chat with users and produce human-like responses. Though sometimes ChatGPT’s responses can be nonsensical or even incorrect, the chatbot has already gained a large following and has been used for everything from writing emails to planning vacations.
In today’s episode, we’ll be discussing some interesting news in the world of artificial intelligence. First up, we have someone’s personal experience with the coding language bard. They tested it out with autohotkey code and compared it to ChatGPT. While ChatGPT performed better, bard showed potential. One thing to note is that bard seemed to do better in V1 as opposed to V2, and while it may not be as advanced as ChatGPT now, it has the ability to obtain live data, which is a valuable feature. Have any of our listeners tried coding with bard? Let us know your thoughts in the comments!
Moving on, a recent study explored the possibility of using machine learning algorithms to detect acute respiratory diseases based on cough sounds. The results showed promise, which is exciting news for the healthcare industry.
Lastly, Microsoft recently shared a 5-point blueprint for governing AI. These points include building upon government-led AI safety frameworks, implementing safety brakes for AI systems that control critical infrastructure, developing a technology-aware legal and regulatory framework, promoting transparency and expanding access to AI, and leveraging public-private partnerships for societal benefit. What other aspects would you add to this blueprint? Let us know in the comments.
Before we wrap up, we want to let our listeners know about “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” a book now available on Amazon. It’s a great resource to expand your understanding of artificial intelligence and stay ahead of the curve. Get your copy today!
Thanks for listening and tune in next week for more AI news and updates.
In today’s episode, we covered Google’s AI-powered search engine, AWS Certified Machine Learning Specialty Practice Exams, the potential impact of AI on job loss and a global identity system, the difference between AI and Machine Learning, and some exciting developments in AI such as cough sound algorithms for detecting respiratory diseases. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
AI Unraveled Podcast May 26 2023: Can quantum computing protect AI from cyber attacks?, AI Latest News on May 26th, 2023 – 12 brand new tools and resources – Top 5 AI Tools for Education.
Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, where we discuss the latest trends and news in the exciting world of AI. In this episode, we delve into the topic of whether quantum computing can protect AI from cyber attacks, and highlight 12 brand new tools and resources that will surely pique your interest. Stay informed with the latest AI news on May 26th, 2023 and beyond – be sure to hit that subscribe button to stay updated! In today’s episode, we’ll cover how AI tools are transforming education and highlight companies leading the way, 12 new AI-powered tools and innovations such as an AI-powered language model competitor, a new antibiotic discovered using AI, recent developments in tech including Nvidia’s explosive stock and Google’s AI Search Generative Experience, and a podcast utilizing the Wondercraft AI platform and book answering commonly asked AI questions.
Would you like to learn about how quantum computing can protect AI from cyber attacks? It’s a fascinating topic, considering how AI algorithms are used in various applications like autonomous driving, facial recognition, biometrics, and drones. Unfortunately, AI algorithms are vulnerable to cyber attacks. That’s where quantum computing comes into play. The advanced computing technology has shown promise in enhancing cybersecurity and protecting AI against threats. Now, let’s switch gears and talk about something exciting – the top five AI tools for education. If you’re a student or a teacher who wants to learn more about AI educational tools, this is for you. First on the list is Querium. They’ve developed an AI tool known as the Stepwise Virtual Tutor, which provides step-by-step assistance in STEM subjects. It’s like having a personal tutor available 24/7. Students can learn at their own pace, making it easier to master complex concepts. What about Thinkster Math? It’s an AI educational tool that uses AI to map out students’ strengths and weaknesses, making math learning personalized and effective. Content Technologies Inc. is another game-changer in the education sector. They’ve developed an AI tool that creates customized learning content, making it easier for students to understand and retain information. Next up is CENTURY Tech, which creates personalized learning pathways for students based on their strengths, weaknesses, and learning style. And last but not least, there’s Netex Learning’s LearningCloud, an AI teaching tool that tracks students’ progress and adapts content to their needs, keeping students engaged and learning effectively. All these AI tools are making education more accessible, personalized, and effective. Have you used any of these AI tools before, or are you thinking of trying them out? Let us know your thoughts!
Today we have 12 exciting brand-new tools and resources to go over! Let me start with Bard Anywhere, a Chrome extension shortcut that enables quick search on any site. Then, we have Tyles, an AI-driven note app that organizes and sorts your knowledge magically. Next up, Humbird AI, an AI-powered Talent CRM for high-growth technology companies. But wait, it doesn’t stop there! How about DecorAI with its power to generate dream rooms using AI for everyone, or OdinAI which offers health recommendations for your app through ChatGPT? There’s also Waitlyst, a platform that offers autonomous AI agents for startup growth, and ChatUML, the perfect AI assistant for making diagrams. And for all you Excel and Google Sheets fans, Ajelix is an AI tool you can’t miss! Plus, KAI is an app that lets you add ChatGPT to your iPhone’s keyboard for convenience. If you’re interested in language training, we have Talkio AI, an AI-powered language training app for your browser, and GPT Workspace, which allows you to use ChatGPT in Google Workspace. But that’s not all! Let’s not forget about Thentic, a powerful platform that can automate web3 tasks with no-code and AI. And finally, OpenAI is launching ten $100,000 grants for “building prototypes of a democratic process for steering AI.” There’s more, Guanaco, an AI chatbot competitor trained on a single GPU in just one day. Researchers from the University of Washington developed QLoRA, which is a method for fine-tuning large language models. They have introduced Guanaco, a family of chatbots based on Meta’s LLaMA models. The largest Guanaco variant has 65 billion parameters and achieves nearly 99% of ChatGPT’s performance in a GPT-4 benchmark. This new development of QLoRA and Guanaco demonstrates the potential for more accessible fine-tuning of large language models on a single GPU. It’s a crucial improvement that could lead to broader applications and increased accessibility in natural language processing. Even with slow 4-bit inference and weak mathematical abilities, the researchers have promising future improvements to bring to these fascinating new tools and resources!
Hey there! Let’s dive into the latest AI news from May 26th, 2023. Are you ready? First, let’s talk about a groundbreaking discovery in drug development. Scientists have developed a new antibiotic that can kill some of the world’s most dangerous drug-resistant bacteria, and they did it by using artificial intelligence. This breakthrough could revolutionize the way we hunt for new drugs and tackle some of the biggest health threats facing our planet. Switching gears to social media, TikTok is testing an AI chatbot called ‘Tako’ that’s designed to help users navigate the platform and answer their questions. By enhancing its customer service capabilities, TikTok is putting its best foot forward to make its app more user-friendly and support its expansive community. But that’s not all, the stock for Nvidia, a tech and AI industry leader, recently soared thanks to what analysts are calling ‘guidance for the ages.’ This marks a bright future for the company, and Wall Street is buzzing with excitement. On the AR side of things, Clipdrop has launched a new AI-powered tool called ‘Reimagine XL’ that allows users to bring real-world objects into digital environments more accurately and with improved stability. With AR rapidly gaining traction, Clipdrop’s technology is paving the way for more seamless and immersive AR experiences. Google has also introduced a new feature called the ‘AI Search Generative Experience’ that leverages artificial intelligence to provide more accurate and nuanced search results. This interface is likely to become a go-to tool for anyone looking for more precise search results. Finally, OpenAI has outlined its vision for allowing public influence over AI systems’ rules. The organization is committed to ensuring that access to, benefits from, and influence over AI and AGI are widespread. However, its CEO has warned that if new AI regulations are implemented in Europe, OpenAI may have to stop operating there, reflecting the ongoing debate about how to manage and regulate the growth of artificial intelligence. That’s it for now. Stay tuned for more exciting developments in the world of AI!
Hey there AI enthusiasts, welcome to another episode of AI Unraveled! Today, I’d like to talk to you about a really cool tool called Wondercraft AI platform. It’s a game-changing tool that makes starting your own podcast a breeze. Wondercraft AI gives you the opportunity to use super-realistic AI voice as your host, just like mine! So, if you’re ever interested in creating a podcast, you should definitely give it a shot! Next up, I have some exciting news for you! I know you’re eager to expand your knowledge on artificial intelligence, so I’m happy to recommend to you a fantastic book that’s now available on Amazon, called AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. This book is an engaging read that really dives into the fascinating world of AI, answering all of those burning questions you may have and offering valuable insights that will keep you ahead of the curve. So what are you waiting for? Head to Amazon and grab your copy today!
On today’s episode, we covered the revolutionary impact of AI tools on education, 12 new AI-powered apps and technologies, breakthroughs in AI’s use in medicine and chatbots, as well as the use of AI in podcast production with the Wondercraft AI platform. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
AI Unraveled Podcast May 25th 2023: What is the new Probabilistic AI that’s aware of its performance?, How are robots being equipped to handle fluids?, AI-powered Brain-Spine-Interface helps paralyzed man walk again, AI vs. Algorithms
AI Unraveled Podcast May 24th 2023: The artist using AI to turn our cities into ‘a place you’d rather live’, How will AI change wars?, Superintelligence – OpenAI Says We Have 10 Years to Prepare
Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, where we explore the latest AI trends and the potential impact of this revolutionary technology. In this episode, we delve into some fascinating topics, including an artist who is using AI to transform our urban landscapes, the influence of AI on warfare, and OpenAI’s recent warning about the need to prepare for superintelligence. To stay updated on the latest developments in the AI world, make sure to subscribe to our podcast today. In today’s episode, we’ll cover how emerging tech is shaping the future of public space and creating new challenges in war, the availability of AWS Machine Learning Specialty certification and practice exams, open-source innovations like QLoRA that could outpace closed-source, the latest advancements in AI software with Nvidia and Microsoft, Google and Microsoft’s generative AI, chatbot and data analysis platform, and how Wondercraft AI is enabling easy podcasting with hyper-realistic voices.
Hey there! Today, we’re diving into the topic of how AI is being used to shape the future of our cities and the potential impact it could have on war as we know it.
Let’s start by talking about how AI is being used to create more beautiful versions of our cities. Imagine walking down a street and being completely enamored by the stunning architecture and perfectly placed greenery. This is the vision of the artist using AI to turn our cities into a place you’d rather live in.
But it’s not just about aesthetics. AI is also being harnessed to help cities respond to climate change. With machine learning, we can analyze data and make predictions about future environmental issues and take proactive measures to mitigate their impact.
Now, let’s shift gears and dive into the topic of how AI could completely change the nature of warfare. Will hand-to-hand combat become a thing of the past? With the advancement of technology, it’s a possibility.
We could see fully automated weapons systems that operate with no morals or conscience, just cold calculation. Imagine a self-driving tank that has image recognition and GPS, where the entire crew compartment is available for more armor, more engine, and more ammo. It could be given orders to enter a geofence and kill anyone with a gun.
But, as scary as that may sound, it could also be given vague instructions to just kill everyone and everything within a certain area, completely disregarding basic humanity and committing war crimes without a second thought.
This is the reality of the intersection between AI and warfare, where the line between humanity and technology is quickly becoming blurred.
Hey there, AI enthusiasts! We interrupt our engaging discussion on AI for a quick shout out to an invaluable resource that should be on your radar –
A book that can help you level up your machine learning skills and even earn a six-figure salary. That’s right, we’re talking about “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams”, written by Etienne Noumen.
This treasure trove of information, tips, and practice exams is specifically designed to get you ready for the AWS Machine Learning Specialty (MLS-C01) Certification. As we all know, AWS is a dominant player in the cloud space, and having this certification under your belt can really set you apart in the industry.
The best part? You can get your hands on this essential guide at Amazon, Google, and the Apple Book Store. So, no matter what platform you prefer, you can start your journey towards machine learning mastery and that coveted six-figure salary.
Don’t take our word for it, though. Get a copy of “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and experience the game-changing benefits for yourself. Trust us, this book is a must-read for any AI enthusiast out there.
With that being said, let’s get back to unraveling the fascinating world of AI.
Hey there, today we’re talking about a breakthrough in the world of language models. Fine-tuning is already widely used to enhance existing models without the need for costly training from scratch. LoRA is a popular method for fine-tuning that is gaining steam in the open-source world. However, the recently leaked Google memo calls out Google (and OpenAI too) for not adopting LoRA, which may allow open-source to outpace closed-source LLMs.
OpenAI recognizes that the future of models is about finding new efficiencies. And the latest breakthrough, QLoRA, is a game-changer. QLoRA is even more efficient than LoRA, democratizing access to fine-tuning without the need for expensive GPU power. Researchers have fine-tuned a 33B parameter model on a 24GB consumer GPU using QLoRA in just 12 hours at a benchmark score of 97.8% against GPT-3.5.
QLoRA introduces three major improvements, including a compression-like 4-bit NormalFloat data type that is precise and compresses memory load. And the quantized constants that came in the pack reduce the need for further compression. Memory spikes typical in fine-tuning are optimized to reduce memory load.
Mobile devices may soon be able to fine-tune LLMs, allowing for personalization and increasing data privacy. Additionally, real-time info can be incorporated into models, bringing the cost of fine-tuning down. Open-source is emerging as an even bigger threat due to these innovations, and many closed-source models may outpace closed-source models as a result.
Lastly, Sam Altman’s 2015 blog post on superintelligence still holds relevant today. He argues that regulation and fear surrounding superintelligence are necessary to protect society. With the rapid advancements in LLMs and AI, we should take these warnings seriously, even more so in the coming years.
Have you heard of the latest addition to the “as a service” market?
It’s called AIaaS and it’s making waves in the tech industry. Companies like Nvidia and Microsoft are teaming up to accelerate AI efforts for both individuals and enterprises. In fact, Nvidia will integrate its AI enterprise software into Azure machine learning and introduce deep learning frameworks on Windows 11 PCs.
But that’s not the only exciting news in the world of AI. Have you heard about the QLoRA method that enables fine-tuning an LLM on consumer GPUs? It has some big implications for the future of open-source and AI business models.
And if you’re interested in AI tools, you should check out AiToolkit V2.0, which is based on feedback from users like you and offers over 1400 AI tools.
In other news, Microsoft has launched Jugalbandi, an AI chatbot designed for mobile devices that can help all Indians access information for up to 171 government programs, especially those in underserved communities. And if you’re curious about what Elon Musk thinks about AI, he believes it could become humanity’s uber-nanny.
Lastly, Google has introduced Product Studio, a tool that lets merchants create product imagery using generative AI, while Microsoft has launched Fabric, an AI data analysis platform that enables customers to store a single copy of data across multiple applications and process it in multiple programs. It’s interesting to see how AI is being integrated into so many different areas and industries.
Hey there! I am excited to share some exciting news about tech innovations and AI updates!
Google has recently announced its latest addition to AI-powered ad products and marketing tools, and it includes the use of generative AI in Performance Max. What this means is that businesses using Google ads can now utilize generative AI to help them create, customize, and launch ads that have a higher chance of achieving better results.
Speaking of AI, Microsoft has just launched Jugalbandi, a chatbot designed specifically for mobile devices in India. The bot can help users gain access to information about up to 171 government programs, especially those in underserved communities. This tool is expected to ease communication barriers in accessing essential services.
Have you ever wondered how AI can transform the way we use images in e-commerce? Well, Google has introduced Product Studio, a tool that enables merchants to create product imagery using generative AI. It means that businesses can automate the product image creation process and reduce the time spent on this task.
Moreover, Microsoft Fabric, an AI data analysis platform, has been launched. With this, customers can store a single copy of data across multiple applications and process it in multiple programs. For instance, data can be utilized for collaborative AI modeling in Synapse Data Science, while charts and dashboards can be built in Power BI business intelligence software.
Lastly, in a recent interview, Elon Musk, the visionary behind SpaceX and Tesla, stated that AI could become humanity’s uber-nanny. He believes that AI could help people make better decisions, reminders, and suggestions on how to improve their lives.
That’s all the exciting news for today. Stay tuned for more updates in the future.
Hey there AI Unraveled podcast fans! Thanks for tuning in. I’m excited to share with you some news that will take your understanding of artificial intelligence to the next level. Are you ready? Introducing the must-have book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence”. This gem is now available on Amazon, and it’s a game-changer.
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Today on the podcast we discussed the potential of AI in shaping the future of public space, the AWS Machine Learning Specialty certification book, open-source advancements in the QLoRA method, the integration of AI software through AIaaS, the development of AI chatbots by Google and Microsoft, and the Wondercraft AI’s usage in podcasting; thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
AI Unraveled Podcast May 23rd 2023: Why does Geoffrey Hinton believe that AI learns differently than humans?, When will AI surpass Facebook and Twitter as the major sources of fake news?, Is AI Enhancing or Limiting Human Intelligence?
Why does Geoffrey Hinton believe that AI learns differently than humans?
Is Meta AI’s Megabyte architecture a breakthrough for Large Language Models (LLMs)?
What does Google’s new Generative AI Tool, Product Studio, offer?
What is the essence of the webinar on Running LLMs performantly on CPUs Utilizing Pruning and Quantization?
When will AI surpass Facebook and Twitter as the major sources of fake news?
AI: Enhancing or Limiting Human Intelligence?
What are Foundation Models?
What you need to know about Foundation Models
What is a Large Language Model? Large Language Models (LLMs) are a subset of Foundation Models and are typically more specialized and fine-tuned for specific tasks or domains. An LLM is trained on a wide variety of downstream tasks, such as text classification, question-answering, translation, and summarization. That fine-tuning process helps the model adapt its language understanding to the specific requirements of a particular task or application.
What you need to know about Large Language Models
What is cognitive computing? Cognitive computing is a combination of machine learning, language processing, and data mining that is designed to assist human decision-making.
What is AutoML?AutoML refers to the automated process of end-to-end development of machine learning models. It aims to make machine learning accessible to non-experts and improve the efficiency of experts.
Why is AutoML Important?
In traditional machine learning model development, numerous steps demand significant human time and expertise. These steps can be a barrier for many businesses and researchers with limited resources. AutoML mitigates these challenges by automating the necessary tasks.
Limitations and Future Directions of AutoML
While AutoML has its advantages, it’s not without limitations. AutoML models can sometimes be a black box, with limited interpretability. Furthermore, it requires significant computational resources. It is important to understand these limitations when choosing to use AutoML.
Daily AI Update (Date: 5/23/2023): News from Meta, Google, OpenAI, Apple and TCS
This podcast is generated using the Wondercraft AI platform, a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!
Attention AI Unraveled podcast listeners!
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” now available on Amazon! This engaging read answers your burning questions and provides valuable insights into the captivating world of AI. Don’t miss this opportunity to elevate your knowledge and stay ahead of the curve.Get your copy on Amazon today!
AI Unraveled Podcast May 22nd 2023: AWS Machine Learning Specialty Certification, Microsoft Researchers Introduce Reprompting, Sci-fi author ‘writes’ 97 AI-generated books in nine months, AI Deep Learning Decodes Hand Gestures from Brain Images.
Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, the podcast that brings you the latest and greatest in AI trends. In this episode, we discuss the AWS Machine Learning Specialty Certification Preparation, Microsoft Researchers’ introduction of Reprompting, and a Sci-fi author who ‘writes’ 97 AI-generated books in nine months. We’ll also explore how AI deep learning can decode hand gestures from brain images, and ponder the question: How can we expect aligned AI if we don’t even have aligned humans? Finally, we’ll dive into the mysterious world of governing AI-ghosts. Don’t miss out–subscribe now to stay updated on AI Unraveled. In today’s episode, we’ll cover Microsoft’s reprompting technology, AI-generated books, decoding hand gestures, harmonizing human creativity with machine learning, Alpaca’s learning model, generative AI, concerns about AI mimicking dead people, AI chatbots, and holograms disrupting grieving, AI alignment with human values, and a great resource for machine learning enthusiasts.
Hey there! Have you heard the latest news in the world of artificial intelligence? Microsoft researchers have come up with a new algorithm called Reprompting that can search for the Chain-of-Thought (CoT) recipes for a given task without human intervention. It’s an iterative sampling algorithm that seems quite promising. But that’s not all – a sci-fi author has generated 97 AI-written books in just nine months! It’s pretty fascinating to see how far AI has come in the field of literature. Speaking of deep learning, researchers have found a way to decode hand gestures from brain images by using AI. This breakthrough may lead to noninvasive brain-computer interfaces for paralyzed individuals, which is an incredible advancement. While we’re on the topic of AI’s capabilities, have you ever wondered how to harmonize human creativity with machine learning? With the rise of machine learning tools like ChatGPT, we’re seeing what the future of human creativity at work looks like. It’s definitely an exciting time in the field of AI. And let’s not forget about Alpaca – a model of AI that can follow your instructions. Stanford researchers recently discovered how the Alpaca AI model uses causal models and interpretable variables for numerical reasoning. It’s fascinating to see how AI is being developed to better understand and execute complex tasks. Finally, there’s a lot of discussion around generative AI that’s based on the dark web. While some may view it as dangerous, others argue that it might ironically be the best thing ever in terms of AI ethics and AI law. Interesting stuff to consider, right?
Have you ever thought about the possibility of an AI system that mimics human behavior in the style of a specific person even after they’re dead? This is known as mimetic AI and it’s a topic that has been gaining a lot of attention lately. For instance, a synthetic voiceover by the deceased chef Anthony Bourdain became a global sensation last year. Other examples of mimetic AI include personal assistants that are trained on your behavior or clones of your voice. But the question is, what happens when you’re no longer here and these systems continue to mimic you? There’s a company called AI seance that offers an “AI-generated Ouija board for closure”, which is an example of Grief Technology. This technology includes creating an artificial illusion of continuity of a loved one after they’re gone. This can potentially disrupt the deeply personal and psychological process of grief that each person goes through when dealing with a loss. It’s not just about creating an AI-chatbot version of your dead grandma, but also about legality issues – for instance, what if you train a sexbot on your partner and she dies? Is this considered illegal? Expensive gimmicks such as hologram concerts of deceased popstars have introduced ethical debates about post-mortem privacy and now, with AI-systems, anyone can build an open source AI-chatbot of their deceased loved one. But the question is, should we be doing this? What would our deceased loved ones say about it? Additionally, there are philosophical questions that arise from building these systems such as the Teletransportation paradox explored by Stanislaw Lem. The idea is that if an AI system gains consciousness after being trained on a real person who is now deceased, is it a true continuation of that person? These are fascinating philosophical questions that extend our understanding of who we are as humans. Although conscious AI systems might not be a reality anytime soon, it’s interesting to consider the implications of mimetic AI and the potential impact on our mental health.
So, today we’re going to talk about AI alignment, or the idea that we can design artificial intelligence to behave in a way that aligns with human values and goals. But before we get started, let’s take a step back and ask ourselves – have we, as humans, been successful in aligning ourselves? Throughout history, we’ve disagreed about just about everything you can think of – from politics and religious beliefs to ethical principles and personal preferences. We haven’t been able to fully align on universally accepted definitions for concepts like ‘good’, ‘right’, or ‘justice.’ Even on basic issues like climate change, we find a vast array of contrasting perspectives, despite the overwhelming scientific consensus. So it begs the question – if we can’t even align ourselves, how can we expect AI to be perfectly aligned with our values? Now, I’m not saying we can’t strive for better alignment between humans and AI, but it’s important to keep in mind the challenges we face. So what do you all think? Does the persistent discord among humans undermine the idea of perfect AI alignment? And if so, how should we approach AI development to ensure it benefits all of humanity? Let’s dive in and discuss.
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In today’s episode, we discussed Microsoft’s reprompting and Alpaca’s instruction following technique, a sci-fi author generating 97 books using AI, AI decoding hand gestures, aligning human values with AI development, AI mimicking dead people, disrupting the grieving process, and a valuable resource for machine learning enthusiasts – thanks for listening and don’t forget to subscribe!
AI Unraveled Podcast May 20th 2023: Why is superintelligence especially AI always considered evil?, Edit videos through intuitive ChatGPT conversations, Large Language Models for AI-Driven Business Transformation, AI Unraveled book by Etienne Noumen
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence. On our show, we explore the latest AI trends, like why superintelligence and AI are often considered evil. We also discuss the exciting breakthroughs that make AI accessible, like chatbot video editing and language models for AI-driven business transformation. And don’t forget to subscribe to stay updated on our latest episodes, including insights from our host, Etienne Noumen, author of the AI Unraveled book.
In today’s episode, we’ll cover the benefits of AI and its potential impact on society, advancements in AI technology such as assisting Florida farmers, unlocking DNA sequences, and the creation of a hand-worn AI device, JARVIS – an AI video editing tool using intuitive chat conversations launched on Product Hunt, and innovative learning methods such as Chain-of-thought (CoT) prompting for large language models (LLMs) and an AI news website.
Hey AI Unraveled podcast listeners, are you an avid AI enthusiast looking to enhance your knowledge and understanding of artificial intelligence? Well, you’re in luck! Consider reading the new, must-have book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” by author Etienne Noumen, available for purchase on Amazon. This captivating read will answer all of your pressing questions and provide you with invaluable insights into the captivating world of AI.
Now, let’s delve into a common misconception regarding AI: why is superintelligence, especially AI, always portrayed as evil? This is a longstanding pet peeve of mine. From movies to mainstream media, superintelligence is often depicted as either evil or soulless. However, this is counterintuitive to me. The smartest people I know are all humanists and genuinely moral individuals. When I’ve asked my college professors or researchers about their perspectives on morality, they never reply with simplistic responses such as “because it’s bad.” Rather, they express deep, complex reasoning that is thought out and is in line with collective laws and beliefs. So why is it so hard to believe that superintelligence would want everyone to benefit collectively? We are stronger in numbers, and no one can achieve anything alone. In a world where everyone’s basic needs are met and equality exists, it’s easier to accomplish personal goals while simultaneously fulfilling collective objectives. Collectivism isn’t an adaptation for personal weakness — it’s a strategy for strength and success. So why would superintelligence rely on Machiavellian methods when soft power has been proven to work better in the long term? It’s critical to remember that a superintelligence could have a different perception than humans, ultimately changing its morals to such an extent that it might be regarded as “evil” in certain contexts, but not in others.
Nonetheless, who are we to judge what is right or wrong for a superintelligence? Now, let’s consider AI. Suppose we eventually develop an AI superintelligence capable of thinking efficiently and addressing any problem. To become anything worthwhile, it needs to have initiative programming and genuine human emotional traits like acquisitiveness, competitiveness, vengeance, and bellicosity. The most likely scenario for this happening is if some human purposely creates it. It’s improbable that an AI would turn evil just because it’s intelligent and sentient. Logically speaking, an AI superintelligence would accept, help, and live with humans since it would either find us useful or, at a minimum, lacking empathy. Why wouldn’t it be easier to turn us more intelligent through augmentation or transform us into allies rather than deadly adversaries? In conclusion, those who believe AI will always be evil might have deep-seated insecurities. If the world began working justly, they might end up behind bars owing to their reprehensible actions. Alternatively, some individuals with misguided beliefs about the objective realities of the world recognize that imposing their opinions on everyone else would be unjustifiable. However, who knows what the future holds!
Welcome to One-Minute Daily AI News for May 20, 2023! Today we bring you news from various areas where AI technology is proving to be a game-changer. First off, we have a story from Florida, where local farmers are leveraging AI to stay competitive in the marketplace. Extension economist Kimberly Morgan is introducing growers in Southwest Florida to various AI tools that help them better understand consumer preferences, retailer payments, and shipping costs – which ultimately leads to better prices for their crops. It’s great to see how AI is helping to provide opportunities for small businesses to succeed. In other news, researchers are making breakthroughs using AI to unlock custom-tailored DNA sequences. AI is helping to dig deep into the mechanisms of gene activation, which is crucial for growth, development, and disease prevention.
We can see how AI is transforming the field of medicine for the better. Meanwhile, G7 leaders recently confirmed the need for governance of generative AI technology. This demonstrates a collective awareness of AI’s immense power and the need for responsible regulation. Next up, we have a feel-good story about Mina Fahmi, who used AI services to create a hand-worn device called Project Ring. It has the ability to perceive the world and communicate what it sees to the user. This just goes to show that technology can not only help solve practical problems but can also be used for enriching people’s lives. And finally, we have some local news from North Austin, Texas. Bush’s One-Minute Daily AI News just turned one month old and has already become the largest AI news website in the area. It’s wonderful to see the success of AI-based news platforms, and even more delightful to learn that its founder is getting married today. That’s it for today! Stay tuned for more updates on the latest AI news.
Have you ever wanted to edit videos, but found yourself intimidated by complicated software? Well, you’re not alone! Luckily, there’s a new tool on the market that makes video editing easy and intuitive. It’s called JARVIS, and it uses natural chat to help you with all your editing needs. The team behind JARVIS just launched the product on Product Hunt, and as you can imagine, it’s a nerve-wracking time for them. They’ve put in a lot of hard work and passion into creating this tool, and they’re hoping it will be well-received. If you have a moment, it would mean the world to them if you could check out JARVIS and give it a share, like or comment. Who knows, maybe JARVIS will become your go-to video editing assistant!
Hey there! Today, we’ll be diving into the world of artificial intelligence (AI) and discussing how large language models (LLMs) can be used for business transformation. Before we get into that, let’s address a common issue: LLMs have historically been notorious for struggling with reasoning-based problems. However, don’t lose hope just yet! We’re here to tell you that reasoning performance can be greatly improved with a few simple methods. One technique that doesn’t require fine-tuning or task-specific verifiers is known as Chain-of-thought (CoT) prompting. This method enhances LLMs’ capacity for deductive thinking by using few-shot learning. But that’s not all! CoT prompting also serves as a foundation for many more advanced prompting strategies that are useful for solving difficult, multi-step problems with ease. So, if you’re interested in using AI to solve complex problems, remember that there are ways to enhance the performance of large language models. By implementing techniques like CoT prompting, you can improve LLMs’ reasoning capacity and take your business’s transformation to the next level.
Hey there! Today’s podcast is brought to you by Wondercraft AI. With their hyper-realistic AI voices, they make it easy for anyone to start their own podcast. And speaking of AI, have you ever been curious and wanted to learn more about it? Well, we’ve got the perfect recommendation for you. “AI Unraveled” is an essential book written by Etienne Noumen and available on Amazon. In this engaging read, you’ll find answers to frequently asked questions about artificial intelligence. You’ll also gain valuable insight into the captivating world of AI. So, if you’re looking to expand your understanding of AI and stay ahead of the curve, don’t miss this opportunity to elevate your knowledge. Head over to Amazon today and get your copy of “AI Unraveled” by Etienne Noumen!
In today’s episode, we learned how AI can benefit humanity, assist farmers, unlock DNA sequences, improve video editing with JARVIS, and enhance deductive thinking with Chain-of-thought prompting – and don’t forget to check out Wondercraft AI and Etienne Noumen’s book “AI Unraveled” if you want to learn more! Thanks for listening and don’t forget to subscribe!
AI Unraveled Podcast May 19th 2023: Is AI vs Humans really a possibility?, The Future of AI-Generated TV Shows/Movies and Immersive Experiences, Scientists use GPT LLM to passively decode human thoughts with 82% accuracy
Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. In this podcast, we explore the latest AI trends and answer questions such as “Is AI vs Humans really a possibility?” and “What is the future of AI-generated TV shows/movies and immersive experiences?”
Join us as we discuss these exciting topics, including how scientists have been able to passively decode human thoughts with 82% accuracy using GPT LLM. Don’t miss out on the latest updates in the world of AI, subscribe to our podcast now! In today’s episode, we’ll cover the possibilities and dangers of AI as a tool controlled by humans, how AI can create highly customized entertainment experiences, the latest developments from OpenAI, Meta, DragGAN, and ClearML in AI infrastructure, recent advances in mind-reading technology, and the use of Wondercraft AI in realistic podcasting along with a recommended book for AI insights.
Hey there! Have you ever wondered about the possibility of AI versus humans?
According to the internet, 50% of people think that there is an extremely significant chance of it happening, with even 10-20% being a significant probability. Although we can all agree that AI can be a powerful tool, there are still concerns about its destructive effects, such as the use of deepfake videos in misinformation campaigns. But, let’s be clear about this: AI will never “nuke humans.” The dangers surrounding AI are not inherent to the technology itself. Rather, it’s the people that are responsible. We need to be cautious about those who have control over these tools and how they use them to manipulate others. We also need to be alert to the possibility of the wrong individuals developing something without sufficient safety or being ideologically conflicted with human interests. It’s important to keep this in mind as we move forward with AI technology.
Hey there, have you ever wondered what the future of TV shows and movies could look like?
Well, in the next decade, we could see the rise of AI-generated shows and films that are created based on a single prompt. Imagine if you could provide a request for your favorite show, like Seinfeld, and the AI could create an entirely new episode for you. For example, you could ask for an episode where Kramer starts doing yoga and Jerry dates a woman who doesn’t shave her legs, and the AI would generate a brand new episode for you.
One exciting aspect of this technology is that it’s not just limited to a few people creating episodes. Thousands of people could create their own episodes, and there could be a ranking system that determines the best ones. This means we could potentially enjoy fresh, high-quality episodes of our favorite shows daily for the rest of our lives. How amazing would that be? But wait, it gets even better. Have you ever heard of VR or virtual reality? Imagine putting on a VR headset and immersing yourself in an episode of Seinfeld. You’d find yourself in Jerry’s apartment building, and you’d be able to interact with the characters from the show in real-time, creating a unique episode tailored to your actions and decisions.
You could even introduce characters from other shows and participate in an entirely new storyline. So let’s say that you introduce Rachel from Friends as your girlfriend, and you and Rachel go over to Jerry’s apartment to hang out. Suddenly, there’s a knock on the door, and the actors from Law & Order appear, informing everyone that Newman has been murdered, and one of you is the prime suspect. With this interactive AI-generated world, you could say or do whatever you wanted, and all the characters would react accordingly—shaping the story in real-time. Although this might sound like science fiction, this level of AI-generated entertainment could be possible within the next ten years, and it’s genuinely exciting to think about the customizable experiences that await us. So, sit back, relax, and get ready to immerse yourself in a brand new world of entertainment!
Hey there and welcome to the AI Daily News update for May 19th, 2023. We’ve got some exciting developments in the world of AI that we can’t wait to share with you.
First up, OpenAI has launched a new app called ChatGPT for iOS. This app is designed to sync conversations, support voice input, and bring the latest improvements to the fingertips of iPhone users. But don’t worry, Android users, you’re next in line to benefit from this innovative tool. Next, we’ve got Meta making some major strides in infrastructure for AI. They’ve introduced their first-generation custom silicon chip for running AI models. They’ve also unveiled a new AI-optimized data center design and the second phase of their 16,000 GPU supercomputer for AI research. It’s always exciting to see advancements in AI technology like this.
Another fascinating development comes from the team at DragGAN. They’ve introduced a ground-breaking new technology that allows for precise control over image deformations. This technology, called DragGAN, can manipulate the pose, shape, expression, and layout of diverse images such as animals, cars, humans, landscapes, and more. It’s really something to see.
Finally, ClearML has announced their new product, ClearGPT. This is a secure and enterprise-grade generative AI platform that aims to overcome the ChatGPT challenges. We can’t wait to see how this new platform will revolutionize the AI industry. That’s all for today’s AI Daily News update. Come back tomorrow for more exciting developments in the world of AI.
Have you heard the news? There’s been a medical breakthrough that is essentially a proof of concept for mind-reading tech. As crazy as that sounds, it’s true – scientists have been using GPT LLM to passively decode human thoughts with 82% accuracy! Let me break down how they did it. Three human subjects had 16 hours of their thoughts recorded as they listened to narrative stories. Then, they trained a custom GPT LLM to map their specific brain stimuli to words. The results are pretty incredible. The GPT model was able to generate intelligible word sequences from perceived speech, imagined speech, and even silent videos with remarkable accuracy.
For example, when the subjects were listening to a recording, the decoding accuracy was 72-82%. When they mentally narrated a one-minute story, the accuracy ranged from 41-74%. When they viewed soundless Pixar movie clips, the accuracy in decoding the subject’s interpretation of the movie was 21-45%. Even more impressive is that the AI model could decipher both the meaning of stimuli and specific words the subjects thought, ranging from phrases like “lay down on the floor” to “leave me alone” and “scream and cry.” Of course, there are some major implications here. For example, the privacy implications are a concern.
As for now, they’ve found that you need to train a model on a particular person’s thoughts – there is no generalizable model able to decode thoughts in general. However, it’s important to note that bad decoded results could still be used nefariously much like inaccurate lie detector exams have been used. The scientists acknowledge two things: future decoders could overcome these limitations, and the ability to decode human thoughts raises ethical and privacy concerns that must be addressed.
Now, let’s talk about something exciting.
Are you looking to dive deeper into the world of artificial intelligence? Well, look no further than the book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” by Etienne Noumen, which is now available on Amazon! This book is a must-read for anyone looking to expand their understanding of AI, as it answers all your burning questions while providing valuable insights that will keep you ahead of the curve. Trust me, this engaging read will provide you with all the information you need to elevate your knowledge and keep up with the latest advancements in the field of AI. So hurry up and get your copy on Amazon today!
On today’s episode, we discussed the potential dangers of AI, how it can entertain us with customizable immersive experiences, the latest advancements in AI technology, and how researchers are using GPT LLM to decode human thoughts. Don’t forget to subscribe and check out “AI Unraveled” by Etienne Noumen on Amazon for more AI insights. Thanks for listening!
AI Unraveled Podcast May 18th 2023: Are Alexa and Siri AI?, Google’s new medical LLM scores 86.5% on medical exam, Google Launching Tools to Identify Misleading and AI Images, Current Limitations of AI
Intro:
Welcome to AI Unraveled, the podcast where we demystify frequently asked questions about artificial intelligence and explore the latest AI trends. In this episode, we’ll answer the question of whether or not Alexa and Siri are true AI, discuss Google’s recent accomplishment in the medical field, and dive into the implications of Google’s new tools for identifying misleading images. We’ll also be exploring the current limitations of AI. Don’t want to miss out on the latest insights and developments in the world of AI? Click the subscribe button to stay up to date. In today’s episode, we’ll cover the use of conversational AI in Alexa and Siri, Google’s LLM outperforming human doctors in medical exams, Tesla’s humanoid robot and other AI capabilities, current limitations of AI, and a book recommendation for understanding AI.
Have you ever wondered if Alexa and Siri are considered artificial intelligence (AI)?
Well, the answer is yes! These popular voice assistants are powered by conversational AI, which allows them to understand natural language processing and machine learning. This means that over time, they can perform tasks and learn from their experiences. Now, let’s shift gears to an exciting development in the medical field. Google researchers have created a custom language model that scored an impressive 86.5% on a battery of thousands of questions, many of which were in the style of the US Medical Licensing Exam. That’s higher than the average passing score for human doctors, which is around 60%.
What’s even more impressive is that a team of human doctors preferred the AI’s answers over their own! The researchers used a recently developed foundational language model called PaLM 2, which they fine-tuned to have medical domain knowledge. They also utilized innovative prompting techniques to increase the model’s accuracy. To ensure its effectiveness, they assessed the model across a wide range of questions and had a panel of human doctors evaluate the long-form responses against other human answers in a pairwise evaluation study. They even tested the AI’s ability to generate harmful responses using an adversarial data set and compared the results to its predecessor, Med-PaLM 1. Overall, these developments in conversational AI and machine learning are paving the way for more efficient and accurate solutions in various fields, including healthcare.
Hey there, welcome to your daily AI news update on May 18th, 2023. We’ve got some exciting things to talk about today!
First up, Tesla has just revealed their newest creation – the Tesla Bot! This humanoid robot is set to revolutionize the industry, and CEO Elon Musk is confident that the demand for these robots will far exceed that of Tesla’s cars. According to Musk, the capabilities of the Tesla Bot have been severely underestimated, and we can’t wait to see what it can do! Next, Canadian company Sanctuary AI has released their new industrial robot, Phoenix. Phoenix is incredibly versatile and can be used in a wide range of work scenarios, thanks to its features such as wide-angle vision, object recognition, and intelligent grasping which allow it to achieve human-like operational proficiency.
NVIDIA’s CEO Jensen Huang has stated that chip manufacturing is an ideal application for accelerating computing and AI. Huang believes that the next wave of AI will be embodied intelligence, which we cannot wait to see! OpenAI’s CEO Sam Altman has recently made some interesting revelations about his role at the company. Altman claims that he does not have any equity in OpenAI and that his compensation only covers his health insurance, while the company’s valuation has surpassed a staggering $27 billion. Last but not least,
Apple is set to launch a series of new accessibility features later this year. These features include a “Personal Voice” function, which will allow individuals to create synthetic voices based on a 15-minute audio recording of their own voice. This is definitely exciting news for anyone who relies on these features. That’s it for today’s AI news update! Stay curious and informed, and we’ll see you again tomorrow!
Let’s talk about the current limitations and failings of AI.
First up, we have the issue of Generalized Embodiment. While robots can excel at specialized tasks like flipping burgers or welding car parts, there’s no robot out there that can replace your muffler in the afternoon and grill you a burger for dinner. Next, let’s discuss the problem of Hallucinations. Believe it or not, current Language Models like chatGPT can experience hallucinations. While humans can be prone to this too, we usually reserve our trust until we get to know someone better. And let’s face it, there are a lot of humans we’d trust over chatGPT any day.
Moving on, we have the issue of Innovation and Creativity. Correct me if I’m wrong, but AI can only recycle and rearrange ideas that it’s been trained on – they can’t come up with completely new concepts or develop entirely new math functions. Let’s not forget about the Moral dilemma. Sure, AI models have been fine-tuned with moral concepts, but can they actually judge the morality of situations like when they’re lying? Do they even know they’re lying? It’s unclear where AI stands on the morality scale, making them amoral by nature. Motivation and Curiosity are also critical factors to consider. Currently, there’s no evidence of true internal motivation in AI. While this is probably a good thing for now, it could also make AI more susceptible to manipulation by bad actors for nefarious purposes.
Now, let’s talk about whether AI really understands anything.
I personally haven’t seen much evidence to suggest that AI has a deep level of understanding. While they can pick up on patterns in data, they can only generate answers based on cross-referencing past data from their human counterparts. Last but not least, we have the issue of arguing or “standing your ground.” The truth is, chatGPT is quick to admit when it’s wrong. But it doesn’t seem to understand why it’s wrong and doesn’t have the capacity to hold its ground when it knows it’s right.
This raises the question of whether we can rely on AI to make bold decisions or moral choices when push comes to shove. All in all, these current limitations and failings of AI shed light on where the technology stands today. But there’s no doubt that the field of AI is advancing at an incredible rate, and it’ll be interesting to see how these problems are tackled in the years to come.
Hey there, AI Unraveled podcast listeners! Are you on the lookout for ways to expand your understanding of artificial intelligence?
If so, we’ve got just the thing for you! Allow us to introduce “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence.” This essential book is now available on Amazon and it promises to answer all your pressing questions on AI, while offering valuable insights into this captivating world. Trust us, this engaging read will leave you with a better understanding and help you stay ahead of the curve. So, what are you waiting for? Head over to Amazon and get yourself a copy today! Also, just a quick note on how this podcast was generated – we used the Wondercraft AI platform to make it happen. This fantastic tool enables you to use hyper-realistic AI voices as your host. I’m one of those voices, so if you ever need assistance, don’t hesitate to reach out.
Today we discussed the incredible advancements in conversational AI, impressive robots like Tesla Bot and Phoenix, the limitations of current AI technology, and even recommended a book to help expand your understanding of AI – thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
AI Unraveled Podcast : How artificial intelligence will transform the workday, 3 Best AI Voice Cloning Services, revealing biases in AI models for medical imaging, AI Daily updates from Microsoft, Google, Zoom, and Tesla
Hello listeners! Are you intrigued to know more about artificial intelligence? Look no further because the AI Unraveled podcast is here to bring you the latest AI trends and insights. In today’s episode, we demystify some frequently asked questions about AI and explore how it will transform the workday with workplace AI. We’ll also be discussing 3 of the best AI voice cloning services, revealing biases in AI models for medical imaging, and sharing daily updates from Microsoft, Google, Zoom, and Tesla. Lastly, we analyze why couples break up through machine learning on Wondercraft AI.
Stay updated on all things AI by subscribing to our podcast! In today’s episode, we’ll cover the latest AI voice cloning services, the roadmap to fair AI in medical imaging, new AI tools from Microsoft and Google, Sanctuary AI and Tesla’s humanoid robots, Zoom’s partnership with Anthropic for AI integration, how AI can uncover reasons for couple break-ups, Americans’ concern on AI threat to humanity, and Mount Sinai’s creation of an AI tool to predict cardiac patient’s mortality risk. Plus, we’ll hear about the AI Wondercraft platform for podcasts and the “AI Unraveled” book available on Amazon which helps demystify AI with FAQs and valuable insights.
Workplace AI
Artificial intelligence, or AI, is making its way into the workplace and is set to transform the way we work. Generative AI is on the rise, bringing with it exciting new possibilities. Voice cloning is another area where AI is making its mark. In this article, we’ll take a comprehensive look at the top three AI voice cloning services available today, covering their features, usability, and pricing in detail.
This guide is ideal for individuals or businesses seeking to utilize AI for voice cloning. More specifically, the services we’re reviewing are Descript, Elevenlabs, and Coqui.ai. By the end of this article, you’ll have a clear idea of which service best suits your needs. Another important application of AI is in medical imaging.
To ensure accurate and equitable healthcare outcomes from AI models, it’s essential to identify and eliminate biases. In this article, we discuss the different sources of bias in AI models, including data collection, data preparation and annotation, model development, model evaluation, and system users.
Switching gears, let’s take a look at some exciting AI developments from Microsoft, Google, Zoom, and Tesla. Microsoft’s new tool, Guidance, offers a LangChain alternative that allows users to seamlessly interleave generation, prompting, and logical control in a single continuous flow. Google Cloud has launched two AI-powered tools to help biotech and pharmaceutical companies accelerate drug discovery and advance precision medicine. Some big names like Pfizer, Cerevel Therapeutics, and Colossal Biosciences are already using these products.
Sanctuary AI has launched Phoenix, a 5’7″ and 55lb dextrous humanoid robot, making robotic assistance a reality.
Tesla has also entered the humanoids race with a video of them walking around and learning about the real world. Finally, OpenAI chief Sam Altman recently spoke on a range of topics related to AI, including its impact on upcoming elections and the future of humanity.
He suggested the implementation of licensing and testing requirements for AI models. In another collaboration news, Zoom has partnered with Anthropic to integrate an AI assistant across their productivity platform, starting with the Contact Center product. They have also recently partnered with OpenAI to launch ZoomIQ.
Hey there! Today we’re going to talk about some fascinating developments in the world of artificial intelligence, or AI. First up, we have an intriguing report that suggests AI has the potential to threaten humanity. According to a survey, 61% of Americans believe that AI could actually threaten the very civilization we live in. But don’t worry, it’s not all doom and gloom. In fact, AI is being used in some really exciting and potentially life-saving ways.
Machine learning model that can predict the mortality risk for individual cardiac surgery patients
For example, a research team at Mount Sinai has developed a machine learning model that can predict the mortality risk for individual cardiac surgery patients. This kind of advanced analytics has the potential to revolutionize the healthcare industry and save countless lives. And speaking of healthcare, Kaiser Permanente has recently launched an AI and machine learning grant program. This initiative aims to provide up to $750,000 to 3-5 health systems that are focused on improving diagnoses and patient outcomes. It’s wonderful to see organizations using AI for good, and we can’t wait to see what kind of innovative solutions will come out of this program.
Finally, we have a really interesting tidbit from Elon Musk, who was recently asked what he would tell his kids about choosing a career in the era of AI. Musk’s answer revealed that even someone as successful as he struggles with self-doubt and motivation. It just goes to show that no matter how advanced our technology becomes, we are all still human beings with our own unique challenges and fears. So there you have it, some of the latest news and developments in the world of AI. Thanks for listening, and we’ll catch you next time!
Hey there AI Unraveled podcast listeners! This podcast is generated using the Wondercraft AI platform, a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!
AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence
Are you excited to dive deeper into the fascinating realm of artificial intelligence? If so, we’ve got great news for you. The must-read book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” is now out and available on Amazon! This engaging read is the perfect way to answer all your burning questions and gain valuable insights into the intricacies of AI. Plus, it’s a great way to stay ahead of the curve and enhance your knowledge on the subject. So why wait? Head over to Amazon now and grab your copy of “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” to unravel the mysteries of AI!
Today we covered AI voice cloning, medical imaging advancements, new tools and partnerships from Microsoft, Google, Zoom and Sanctuary AI, as well as Tesla’s humanoid robots; we also talked about AI’s ability to predict relationship outcomes, concerns over AI’s potential threat to human life, and Mount Sinai’s prediction tool for cardiac patients, and finally, we shared resources such as the AI Wondercraft platform for podcasts and the “AI Unraveled” book for demystifying AI; thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
Attention AI Unraveled podcast listeners! Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” now available on Amazon! This engaging read answers your burning questions and provides valuable insights into the captivating world of AI. Don’t miss this opportunity to elevate your knowledge and stay ahead of the curve.Get your copy on Amazon today!
AI Unraveled Podcast – Latest AI Trends May 2023 – Deepbrain, Microsoft Says New A.I. Shows Signs of Human Reasoning, How to use machine learning to detect expense fraud, AI-powered DAGGER to give warning for CATASTROPHIC solar storms
Meet Deepbrain: An AI StartUp That Lets You Instantly Create AI Videos Using Basic Text
Microsoft Says New A.I. Shows Signs of Human Reasoning
Google’s newest A.I. model uses nearly five times more text data for training than its predecessor
Google’s Universal Speech Model Performs Speech Recognition on Hundreds of Languages
How to use machine learning to detect expense fraud
OpenAI’s Sam Altman To Congress: Regulate Us, Please!
AI-powered DAGGER to give warning for CATASTROPHIC solar storms: NASA
Machine learning reveals sex-specific Alzheimer’s risk genes
Top 10 Best Artificial Intelligence Courses & Certifications
- Deep Learning Specialization by Andrew Ng on Coursera
- Professional Certificate in Data Science by Harvard University (edX)
- Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)
- IBM AI Engineering Professional Certificate (Coursera)
- AI Nanodegree by Udacity
AI Unraveled Podcast – Latest AI Trends May 2023 – Why are sentient AI almost always portrayed as evil?, Does this semantic pseudocode really exist?, Would AI be subject to the same limitations as humans in terms of intelligence?
Why are sentient AI almost always portrayed as evil?
The portrayal of sentient AI as inherently evil in popular culture is a fascinating trend that often reflects society’s anxieties around technological advancements.
Does this semantic pseudocode really exist?The article from AI Coding Insights focuses on semantic pseudocode, a conceptual method used in the field of computer science and AI for representing complex algorithms.
Would AI be subject to the same limitations as humans in terms of intelligence?
How could it possibly be a danger if it was?The article from AI News presents a thought-provoking exploration of the limitations and potential dangers associated with artificial intelligence.
Italy allocates funds to shield workers from AI replacement threat
The emergence of text-to-image generator models has transformed the art industry, allowing anyone to create detailed artwork by providing text prompts.
Machine learning algorithm a fast, accurate way of diagnosing heart attack
Top 9 Essential Programming Languages in the Realm of AI
AI Unraveled podcast: Anthropic’s Claude AI can now digest an entire book like The Great Gatsby in seconds – Google announces PaLM 2, its answer to GPT-4, 17 AI and machine learning terms everyone needs to know
Anthropic’s Claude AI can now digest an entire book like The Great Gatsby in seconds
Anthropic’s Claude AI demonstrates an impressive leap in natural language processing capabilities by digesting entire books, like The Great Gatsby, in just seconds. This groundbreaking AI technology could revolutionize fields such as literature analysis, education, and research.
OpenAI peeks into the “black box” of neural networks with new research
OpenAI has published groundbreaking research that provides insights into the inner workings of neural networks, often referred to as “black boxes.” This research could enhance our understanding of AI systems, improve their safety and efficiency, and potentially lead to new innovations.
The AI race heats up: Google announces PaLM 2, its answer to GPT-4
Google has announced the development of PaLM 2, a cutting-edge AI model designed to rival OpenAI’s GPT-4. This announcement marks a significant escalation in the AI race as major tech companies compete to develop increasingly advanced artificial intelligence systems.
Leak of MSI UEFI signing keys stokes fears of “doomsday” supply chain attack
A recent leak of MSI UEFI signing keys has sparked concerns about a potential “doomsday” supply chain attack. The leaked keys could be exploited by cybercriminals to compromise the integrity of hardware systems, making it essential for stakeholders to address the issue swiftly and effectively.
Google’s answer to ChatGPT is now open to everyone in the US, packing new features
Google has released its ChatGPT competitor to the US market, offering users access to advanced AI-powered conversational features. This release brings new capabilities and enhancements to the AI landscape, further intensifying the competition between major tech companies in the AI space.
AI gains “values” with Anthropic’s new Constitutional AI chatbot approach
Anthropic introduces a novel approach to AI development with its Constitutional AI chatbot, which is designed to incorporate a set of “values” that guide its behavior. This groundbreaking approach aims to address ethical concerns surrounding AI and create systems that are more aligned with human values and expectations.
Spotify ejects thousands of AI-made songs in purge of fake streams
Spotify has removed thousands of AI-generated songs from its platform in a sweeping effort to combat fake streams. This purge highlights the growing concern over the use of AI in generating content that could distort metrics and undermine the value of genuine artistic works.
17 AI and machine learning terms everyone needs to know:
ANTHROPOMORPHISM, BIAS, CHATGPT, BING, BARD, ERNIE, EMERGENT BEHAVIOR, GENERATIVE AI, HALLUCINATION, LARGE LANGUAGE MODEL, NATURAL LANGUAGE PROCESSING, NEURAL NETWORK, PARAMETERS, 14. PROMPT, REINFORCEMENT LEARNING, TRANSFORMER MODEL, SUPERVISED LEARNING
Attention AI Unraveled podcast listeners!
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” now available on Amazon! This engaging read answers your burning questions and provides valuable insights into the captivating world of AI. Don’t miss this opportunity to elevate your knowledge and stay ahead of the curve.
Get your copy on Amazon today!
Discover the Buzz: Exciting Trends Shaping Our World in May 2023
AI & Tech Podcast Breaking News
Google’s podcast search results can now open shows directly in Apple Podcasts
The official ChatGPT app for iPhones is here
It’s official — the ChatGPT mobile app is now available to iPhone users in the US.
In addition to answering your text-based questions, the free app — launched by OpenAI this week — can also answer voice queries through Whisper, an integrated speech-recognition system. It includes the same features as the web browser version and can sync a user’s search history across devices.
How can I oblige tensorflow to use all gpu power?
How can I oblige tensorflow to use all gpu power?
TensorFlow, a popular open-source machine learning library, is designed to automatically utilize the available GPU resources on a device. By default, TensorFlow will use all available GPU resources when training or running a model.
Tensorflow Interview Questions and Answers
However, there are a few things you can do to ensure that TensorFlow is using all of the GPU resources available:
- Set the GPU memory growth option: TensorFlow allows you to set a flag to control the GPU memory growth. You can set the flag by using the following command:
import tensorflow as tf
physical_devices = tf.config.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(physical_devices[0], True)- Limit the number of CPU threads: By default, TensorFlow will use all available CPU threads, which can limit the amount of GPU resources available. You can set the number of CPU threads that TensorFlow should use by using the following command:
import os
os.environ["OMP_NUM_THREADS"] = "4"
- Ensure that you have the latest Tensorflow version and GPU drivers: Newer Tensorflow versions includes more optimized GPU utilization, the same goes for the GPU driver, making sure that you have the latest version of both of them could help boost your GPU performance.
- Manage GPU resources with CUDA: if you’re using CUDA with Tensorflow you can use CUDA streams to synchronize and manage multiple GPU resources.
It’s worth noting that even if TensorFlow is using all available GPU resources, the performance of your model may still be limited by other factors such as the amount of data, the complexity of the model, and the number of training iterations.
It’s also important to mention that to ensure the best performance it’s always best to measure and test your model with different settings and configurations, depending on the specific use-case and dataset.
What are some practical applications of machine learning that can be used by a regular person on their phone?
What are some practical applications of machine learning that can be used by a regular person on their phone?
Machine learning is no longer something only used by tech giants and computer experts, but has many practical applications that the average person can take advantage of from their smartphone. From facial recognition to sophisticated machine learning algorithms that help with day-to-day tasks, Artificial Intelligence (AI) powered machine learning technology has opened up a world of possibilities for regular people everywhere. Whether it’s a voice assistant helping you make appointments and track down important information or automatic text translations that allow people to communicate with those who speak a foreign language, machine learning makes performing various tasks much simpler — a bonus any busy person would be thankful for. With the booming machine learning industry continuing to grow in leaps and bounds, it won’t be long until the power of AI is accessible in our pockets.
There are many practical applications of machine learning (ML) that can be used by regular people on their smartphones. Some examples include:
- Virtual assistants: Many smartphones now include virtual assistants such as Siri, Alexa, and Google Assistant that can use ML to respond to voice commands, answer questions, and perform tasks.
- Image recognition: ML-based image recognition apps can be used to identify and label objects, animals, and people in photos and videos.
- Speech recognition: ML-based speech recognition can be used to transcribe speech to text, dictate text messages and emails, and control the phone’s settings and apps.
- Personalized news and content: ML-based algorithms can be used to recommend news articles and content to users based on their reading history and interests.
- Social media: ML can be used to recommend users to connect with, suggest posts to like, and filter out irrelevant or offensive content.
- Personalized shopping: ML-based algorithms can be used to recommend products and offers to users based on their purchase history and interests.
- Language Translation: Some apps can translate text, speech, and images in real-time, allowing people to communicate effectively in different languages. Read Aloud For Me
- Personalized health monitoring: ML-based algorithms can be used to track and predict user’s sleep, activity, and other health metrics.
Speech Synthesizer, Take Notes and Save via voice, No tracking, Secure, Read For Me without tracking me.
These are just a few examples of the many practical applications of ML that can be used by regular people on their smartphones. As the technology continues to advance, it is likely that there will be even more ways that people can use ML to improve their daily lives.
What are some potential ethical issues surrounding uses of Machine Learning and artificial Intelligence techniques?
There are several potential ethical issues surrounding the use of machine learning and artificial intelligence techniques. Some of the most significant concerns include:
- Bias: Machine learning algorithms can perpetuate and even amplify existing biases in the data they are trained on. This can lead to unfair or discriminatory outcomes, especially in areas such as lending, hiring, and criminal justice.
- Transparency: The inner workings of some machine learning models can be complex and difficult to understand, making it difficult for people to know how decisions are being made and to hold organizations accountable for those decisions.
- Privacy: The collection, use, and sharing of personal data by machine learning models can raise significant privacy concerns. There are also concerns about the security of personal data and the potential for it to be misused.
- Unemployment: As automation and artificial intelligence become more advanced, there is a risk that it will displace human workers, potentially leading to unemployment and economic disruption.
- Autonomy: As AI and Machine Learning systems become more advanced, there are questions about the autonomy of these systems, and how much control humans should have over them.
- Explainability: ML systems used in decision making can be seen as “black boxes” that is hard to understand how they arrive to certain decision. This can make it harder to trust the outcomes.
- Accountability: As AI and ML systems become more prevalent, it will be crucial to establish clear lines of accountability for the decisions they make and the actions they take.
These are just a few examples of the ethical issues surrounding the use of machine learning and artificial intelligence. It is important for researchers, developers, and policymakers to work together to address these issues in a responsible and thoughtful way.
What are some examples of applications for artificial neural networks in business?
Artificial neural networks (ANNs) are a type of machine learning algorithm that are modeled after the structure and function of the human brain. They are well-suited to a wide variety of business applications, including:
- Predictive modeling: ANNs can be used to analyze large amounts of data and make predictions about future events, such as sales, customer behavior, and stock market trends.
- Customer segmentation: ANNs can be used to analyze customer data and group customers into segments with similar characteristics, which can be used for targeted marketing and personalized recommendations.
- Fraud detection: ANNs can be used to identify patterns in financial transactions that are indicative of fraudulent activity.
- Natural language processing: ANNs can be used to analyze and understand human language, which allows for applications such as sentiment analysis, text generation, and chatbot.
- Image and video analysis: ANNs can be used to analyze images and videos to detect patterns and objects, which allows for applications such as object recognition, facial recognition, and surveillance.
- Recommender systems: ANNs can be used to analyze customer data and make personalized product or content recommendations.
- Predictive maintenance: ANNs can be used to analyze sensor data to predict when equipment is likely to fail, allowing businesses to schedule maintenance before problems occur.
- Optimization: ANNs can be used to optimize production processes, logistics, and supply chain.
These are just a few examples of how ANNs can be applied to business, this field is constantly evolving and new use cases are being discovered all the time.
How do you explain the concept of supervised and unsupervised learning to a non-technical audience?
Supervised learning is a type of machine learning where a computer program is trained using labeled examples to make predictions about new, unseen data. The idea is that the program learns from the labeled examples and is then able to generalize to new data. A simple analogy would be a teacher showing a student examples of math problems and then having the student solve similar problems on their own.
For example, in image classification, a supervised learning algorithm would be trained with labeled images of different types of objects, such as cats and dogs, and then would be able to identify new images of cats and dogs it has never seen before.
On the other hand, unsupervised learning is a type of machine learning where the computer program is not given any labeled examples, but instead must find patterns or structure in the data on its own. It’s like giving a student a set of math problems to solve without showing them how it was done. For example, in unsupervised learning, an algorithm would be given a set of images, and it would have to identify the common features among them.
A good analogy for unsupervised learning is exploring a new city without a map or tour guide, the algorithm is on its own to find the patterns, structure, and relationships of the data.
Are decision trees better suited for supervised or unsupervised learning and why?
Decision trees are primarily used for supervised learning, because they involve making decisions based on the labeled training data provided. Supervised learning is a type of machine learning where an algorithm is trained on a labeled dataset, where the correct output for each input is provided.
In a decision tree, the algorithm builds a tree-like model of decisions and their possible consequences, with each internal node representing a feature or attribute of the input data, each branch representing a decision based on that attribute, and each leaf node representing a predicted output or class label. The decision tree algorithm uses this model to make predictions on new, unseen input data by traversing the tree and following the decisions made at each node.
While decision trees can be used for unsupervised learning, it is less common. Unsupervised learning is a type of machine learning where the algorithm is not provided with labeled data and must find patterns or structure in the data on its own. Decision trees are less well suited for unsupervised learning because they rely on labeled data to make decisions at each node and therefore this type of problem is generally solved with other unsupervised techniques.
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In summary, decision trees are better suited for supervised learning because they are trained on labeled data and make decisions based on the relationships between features and class labels in the training data.
Can machine learning make a real difference in algorithmic trading?
Yes, machine learning can make a significant difference in algorithmic trading. By analyzing large amounts of historical market data, machine learning algorithms can learn to identify patterns and make predictions about future market movements. These predictions can then be used to inform trading strategies and make more informed decisions about when to buy or sell assets. Additionally, machine learning can be used to optimize and fine-tune existing trading strategies, and to detect and respond to changes in market conditions in real-time.
These are the two areas where machine learning can take over:
- Swing finding: intermediate highs and lows.
- Position sizing: actually this is a subset of position sizing. Sometimes, pairs like EURTRY go nowhere for a long time. Rather than piss money away, it makes sense to penalize (reduce) position sizing on certain pairs and increase others.
- Asset allocation and risk management. It can also aid a discretionary trader in picking important factors to consider.
How does technology like facial recognition influence how we understand and use surveillance systems?
Facial recognition technology, which uses algorithms to analyze and compare facial features in order to identify individuals, has the potential to greatly influence how we understand and use surveillance systems. Some of the ways in which this technology can influence the use of surveillance include:
- Increased surveillance: Facial recognition technology can enable more accurate and efficient identification of individuals, which can result in increased surveillance in public spaces and private businesses.
- Privacy concerns: The use of facial recognition technology raises concerns about privacy and civil liberties, as it could enable widespread surveillance and tracking of individuals without their knowledge or consent.
- Biased performance: There have been concerns that facial recognition systems can have a biased performance, particularly when it comes to identifying people of color, women, and children. This can lead to false arrests and other negative consequences.
- Misuse of the technology: Facial recognition technology can be misused by governments or companies for political or financial gain, or to repress or discriminate against certain groups of people.
- Legal challenges: There are legal challenges on the use of facial recognition technology, as it raises questions about the limits of government surveillance and the protection of civil liberties.
Facial recognition technology is a powerful tool that has the potential to greatly enhance the capabilities of surveillance systems. However, it’s important to consider the potential consequences of its use, including privacy concerns and the potential for misuse, as well as the ethical implications of the technology.
What is the difference between a heuristic and a machine learning algorithm?
What is the difference between a heuristic and a machine learning algorithm?
Machine learning algorithms and heuristics can often be mistaken for each other, but there are distinct differences between the two. Machine learning algorithms seek to replicate processes and patterns previously used to solve various types of problems and can remember these processes for future problem solving. Heuristics, on the other hand, are creative approaches that attempt to solve problems with novel solutions. An algorithm pre-defined by programmers relies on structured data such as numerical values, while a heuristic requires verbal instructions from users such as expressions or conditions that describe an ideal solution. Machine learning algorithms and heuristics both offer useful approaches to problem solving, but it’s important to understand the difference in order to properly apply them.
A heuristic is a type of problem-solving approach that involves using practical, trial-and-error methods to find solutions to problems. Heuristics are often used when it is not possible to use a more formal, systematic approach to solve a problem, and they can be useful for finding approximate solutions or identifying patterns in data.
A machine learning algorithm, on the other hand, is a type of computer program that is designed to learn from data and improve its performance over time. Machine learning algorithms use statistical techniques to analyze data and make predictions or decisions based on that analysis.
There are several key differences between heuristics and machine learning algorithms:
Purpose: Heuristics are often used to find approximate or suboptimal solutions to problems, while machine learning algorithms are used to make accurate predictions or decisions based on data.
Data: Heuristics do not typically involve the use of data, while machine learning algorithms rely on data to learn and improve their performance.
Learning: Heuristics do not involve learning or improving over time, while machine learning algorithms are designed to learn and adapt based on the data they are given.
Complexity: Heuristics are often simpler and faster than machine learning algorithms, but they may not be as accurate or reliable. Machine learning algorithms can be more complex and time-consuming, but they may be more accurate and reliable as a result.
Overall, heuristics and machine learning algorithms are different approaches to solving problems and making decisions. Heuristics are often used for approximate or suboptimal solutions, while machine learning algorithms are used for more accurate and reliable predictions and decisions based on data.
What are some ethical concerns regarding artificial intelligence and its future development?
What are some ethical concerns regarding artificial intelligence and its future development?
Debate about the ethical concerns surrounding artificial intelligence (AI) and machine learning have been becoming increasingly prominent. Issues such as safe AI and ethical AI are of utmost importance when it comes to continued development in this field, and if proper oversight is not account for these could easily become part of an unwanted dystopian future.
Regulations need to be made with regards to how machine learning algorithms are developed and executed, while due diligence is taken to ensure that no negative affects are caused from its use. This sort of regulation is necessary so as to ensure the AI being produced is both responsible and well-monitored; accounting for any human bias or negative externalities created by machine learning algorithms.
Artificial intelligence (AI) has the potential to revolutionize many aspects of society, but it also raises a number of ethical concerns. Some of the ethical concerns regarding the future development of AI include:
- Bias and discrimination: AI systems can be biased if they are trained on biased data or if they are designed to perpetuate existing biases. This can lead to discrimination against certain groups of people, such as those based on race, gender, or age.
- Privacy: AI systems often rely on data collected from individuals, and there are concerns about how this data is collected, stored, and used. There is a risk that personal data could be accessed or misused by unauthorized parties.
- Transparency: It can be difficult to understand how AI systems make decisions, which can make it difficult to hold them accountable for their actions. This lack of transparency can raise concerns about the fairness and accountability of AI systems.
- Job displacement: AI systems have the potential to automate many tasks, which could lead to job displacement and unemployment. There is a risk that AI could exacerbate existing inequalities and create new ones.
- Autonomous systems: AI systems are increasingly being used to make decisions without human intervention. This raises concerns about the accountability of these systems and the potential for them to cause harm.
These are just a few of the ethical concerns that have been raised regarding the future development of AI. It is important for researchers, policymakers, and other stakeholders to consider these issues and to work to address them as AI continues to evolve.
Is artificial intelligence being used to create subspecies or designer organisms?
Does artificial intelligence represent a risk factor that could potentially result in human annihilation?
There is ongoing debate about the potential risks and benefits of artificial intelligence (AI). While some experts argue that AI could bring significant benefits and advancements for society, others have raised concerns about the potential risks and negative impacts of AI.
One potential risk of AI is that it could potentially be used to develop and deploy weapons or other harmful technologies. For example, AI could be used to develop autonomous weapons systems that could make decisions about when to use force, potentially leading to unintended consequences.
Another potential risk of AI is that it could be used to amplify existing power imbalances or to create new ones. For example, AI could be used to automate certain jobs or tasks, potentially leading to job displacement and income inequality.
There is also the potential for AI to be used to undermine privacy and security, for example by collecting and analyzing large amounts of personal data without individuals’ knowledge or consent.
Overall, while it is difficult to predict the future development and impact of AI, it is important for society to carefully consider the potential risks and benefits of this technology and to take steps to mitigate any potential negative impacts.
How has the introduction of new technologies such as artificial intelligence changed the landscape of modern espionage?
The introduction of new technologies, such as artificial intelligence (AI), has significantly changed the landscape of modern espionage. Here are a few ways in which AI has impacted the field of espionage:
- Enhanced surveillance capabilities: AI can be used to analyze and process large amounts of data from various sources, such as video footage, social media posts, and electronic communications. This can enable intelligence agencies to gather more information and monitor individuals and organizations more effectively.
- Improved analysis and prediction: AI algorithms can be used to analyze and make sense of vast amounts of data, helping intelligence agencies to identify trends, predict future events, and make more informed decisions.
- Increased automation: AI can be used to automate various tasks, such as data collection and analysis, allowing intelligence agencies to operate more efficiently and with fewer resources.
- New threats: AI also introduces new threats, such as the potential for AI-powered cyber attacks or the use of AI-powered autonomous weapons systems.
Overall, the introduction of AI has had a significant impact on the field of espionage, enabling intelligence agencies to gather and analyze more information than ever before, but also introducing new risks and challenges.
In what ways can AI and machine learning be used to better predict, respond, and contain potential outbreaks before they become widespread?
Artificial intelligence (AI) and machine learning (ML) can be used to better predict, respond, and contain potential outbreaks before they become widespread in a number of ways:
- Data analysis: AI and ML can be used to analyze large amounts of data from various sources, such as social media, electronic health records, and surveillance systems, to identify patterns and trends that may indicate the early stages of an outbreak.
- Risk assessment: AI and ML can be used to assess the likelihood of an outbreak occurring in a particular region or population, and to identify factors that may increase the risk of an outbreak.
- Early warning systems: AI and ML can be used to develop early warning systems that can alert public health officials and other stakeholders of potential outbreaks in real-time, allowing them to take timely and appropriate action.
- Response planning: AI and ML can be used to help public health officials and other stakeholders develop and implement effective response plans to contain and control outbreaks.
- Predictive modeling: AI and ML can be used to develop predictive models that can forecast the likely trajectory of an outbreak and help to identify the most effective interventions to reduce its impact.
Overall, AI and ML have the potential to significantly improve our ability to predict, respond, and contain potential outbreaks before they become widespread, helping to protect public health and prevent the spread of diseases.
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In what ways has artificial intelligence revolutionized control systems for unmanned aerial vehicles (UAVs)?
Artificial intelligence (AI) has revolutionized control systems for unmanned aerial vehicles (UAVs) in several ways:
- Autonomous flight: AI algorithms can be used to enable UAVs to fly autonomously, without the need for human control. This can allow UAVs to perform tasks such as surveillance, mapping, and delivery without the need for a human operator.
- Obstacle avoidance: AI algorithms can be used to enable UAVs to detect and avoid obstacles in their path, such as trees, buildings, and other aircraft. This can improve the safety and reliability of UAVs, particularly in environments where there are many potential hazards.
- Improved decision making: AI algorithms can be used to enable UAVs to make decisions in real-time based on data from sensors and other sources. This can allow UAVs to adapt to changing conditions and to respond to unexpected situations, improving their performance and reliability.
- Enhanced capabilities: AI algorithms can be used to enable UAVs to perform tasks that would be difficult or impossible for humans to do, such as flying through small or complex spaces, or flying in extreme environments.
Overall, the use of AI in control systems for UAVs has the potential to significantly improve the capabilities and performance of these systems, and to enable UAVs to perform a wide range of tasks that were previously impractical or impossible.
What impact will artificial intelligence have on medical research and healthcare delivery in the next decade?
Artificial intelligence (AI) has the potential to have a significant impact on medical research and healthcare delivery in the next decade. Some of the ways AI could potentially be used include:
- Improving drug discovery: AI can analyze large amounts of data from genomic and chemical databases to identify potential new drugs, which can speed up the drug discovery process.
- Personalized medicine: AI can be used to analyze patients’ medical history, symptoms, and test results to create personalized treatment plans.
- Diagnosis: AI algorithms can be trained to analyze medical images and make accurate diagnoses, which can assist physicians in making more accurate and faster diagnoses.
- Predictive analytics: AI can be used to analyze data from electronic health records to identify patterns and predict outcomes, which can help healthcare providers make more informed decisions and improve patient outcomes.
- Robotic surgery: AI-controlled robots are being developed to assist in surgery, which can improve precision and reduce recovery time for patients.
- Clinical trial design: AI can be used to analyze clinical data to identify patterns and optimize trial design, which can improve the efficiency and success rate of clinical trials.
That being said, the success of these application depends on the quality and quantity of data available, robustness of the AI algorithms, and other factors such as privacy, security and transparency, thus it is important to keep in mind that the impact of AI in healthcare will still have a lot of considerations and the success rate varies case by case and sector by sector.
What are the advantages of using ARIMA models over LSTMs for forecasting and prediction in finance and economics applications?
What are the advantages of using ARIMA models over LSTMs for forecasting and prediction in finance and economics applications?
The field of machine learning and artificial intelligence is constantly evolving, and with it, the ways in which we use technology to understand and predict complex financial and economic systems. ARIMA models and Long-Short-Term-Memory (LSTM) networks are two machine learning tools with a lot of potential in this domain. Though both approaches can yield great accuracy, ARIMA models have an edge when forecasting or predicting financial data. This is because they better capture the stationary process present in most financial data; while LSTMs are excellent at modeling non-stationary processes, these tend to be less prominent in financial settings. Furthermore, ARIMA consumes less resources; its training algorithms can require several orders of magnitude fewer calculations than required for training LSTM networks. Thus, if you need accuracy in your finance or economics applications without running up large bills for computation resources, ARIMA should be your go-to machine learning tool!
Autoregressive integrated moving average (ARIMA) models and long short-term memory (LSTM) models are two commonly used approaches for forecasting and prediction in finance and economics applications.
Here are some advantages of using ARIMA models over LSTMs:
- Interpretability: ARIMA models are generally more interpretable than LSTM models, as the parameters of the model have a clear meaning and can be interpreted in terms of the underlying data. This makes it easier to understand the reasons behind the model’s predictions.
- Computational efficiency: ARIMA models are generally more computationally efficient than LSTM models, as they have fewer parameters and require less training data. This makes them faster to train and easier to deploy in production environments.
- Data requirements: ARIMA models are suitable for modeling time series data that is stationary (i.e., the statistical properties of the data do not change over time) and exhibits a clear trend and/or seasonality. LSTM models, on the other hand, can handle non-stationary data and can model more complex patterns, but they may require more data to do so.
That being said, LSTM models also have some advantages over ARIMA models. For example, LSTM models can handle missing data and can model long-term dependencies in the data more effectively than ARIMA models.
Ultimately, the choice between using an ARIMA model or an LSTM model will depend on the specific characteristics of the data and the requirements of the application. It may be necessary to try both approaches and compare their performance to determine the best model for a given task.
Machine Learning and Artificial Intelligence have become tools of choice for forecasting and prediction applications in finance and economics. For example, ARIMA models have developed a reputation as reliable predictors of stock prices or demand for certain products based on past data due to their ability to describe high-level trends from data. In contrast, Long Short-Term Memory (LSTMs) are better at understanding complex patterns, but may be overkill for regression problems that can already be addressed with the less-complex ARIMA approach. When applied to stationary time series data, ARIMA is faster to train and good enough for most use cases. Moreover, it offers advantages over LSTMs in terms of scalability: ARIMA is able to scale with higher ones and zeroes than its AI cousins; as such, ARIMA requires less computing power to reach similar results and operate on more datasets simultaneously. Ultimately, the machine learning model we choose will depend on our prediction problem’s complexity – but if you find yourself facing a straightforward regression task in finance or economics the classic ARIMA might just do the trick without taking too much of your precious machine memory!
What are some Canadian startups that use artificial intelligence/machine learning?
What are some Canadian startups that use artificial intelligence/machine learning?
Canada’s tech sector is booming with machine learning and artificial intelligence, and a number of young startups are leading the charge. From big-picture machine learning apps to AI solutions for every industry imaginable, Canadian startups are innovating in a powerful way. Sentenai, for example, uses machine learning to process data in real-time to create predictive analytics that can help businesses make faster decisions. Robokiller uses AI to block spam calls, while Caribou Labs develops solutions that use machine learning to help industrial organizations increase productivity. These examples show just how much potential lies within Canada’s AI startup scene — and there is much more still being discovered!
According to ChatGPT, there are many Canadian startups that use artificial intelligence (AI) and machine learning (ML). Here are a few examples:
- Element AI: Element AI is a Montreal-based startup that develops AI-powered solutions for businesses. The company’s products include a platform for building and deploying custom AI models, and a range of AI-powered software tools for various industries.
- Layer 6 AI: Layer 6 AI is a Toronto-based startup that uses AI and ML to build predictive analytics solutions for businesses. The company’s products include a platform for building custom AI models, and a range of AI-powered software tools for various industries.
- Deep Genomics: Deep Genomics is a Toronto-based startup that uses AI and ML to develop personalized medicine solutions. The company’s products include a platform for analyzing genetic data and predicting the impact of genetic variations on health.
- Borealis AI: Borealis AI is a research institute focused on advancing the state of the art in AI and ML. The institute has locations in Toronto, Edmonton, and Montreal, and its research focuses on a range of topics including natural language processing, computer vision, and machine learning.
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Canada is home to some of the most innovative startups, many of which are actively applying machine learning and artificial intelligence (AI) in novel ways. From education to finance and transportation, AI is being utilized to create a more efficient and transparent experience for users everywhere. Two such Canadian startups are Layer 6, a machine learning platform that aggregates data from multiple sources; and Deep Genomics, a healthcare technology that combines machine learning with genetics. It’s impressive how these Canadian companies are harnessing machine learning and AI to revolutionize the way we work and Live today.
These are just a few examples of Canadian startups that use AI and ML. There are many other startups in Canada that are using these technologies to solve a variety of problems across a range of industries.
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List of Freely available programming books - What is the single most influential book every Programmers should read
- Bjarne Stroustrup - The C++ Programming Language
- Brian W. Kernighan, Rob Pike - The Practice of Programming
- Donald Knuth - The Art of Computer Programming
- Ellen Ullman - Close to the Machine
- Ellis Horowitz - Fundamentals of Computer Algorithms
- Eric Raymond - The Art of Unix Programming
- Gerald M. Weinberg - The Psychology of Computer Programming
- James Gosling - The Java Programming Language
- Joel Spolsky - The Best Software Writing I
- Keith Curtis - After the Software Wars
- Richard M. Stallman - Free Software, Free Society
- Richard P. Gabriel - Patterns of Software
- Richard P. Gabriel - Innovation Happens Elsewhere
- Code Complete (2nd edition) by Steve McConnell
- The Pragmatic Programmer
- Structure and Interpretation of Computer Programs
- The C Programming Language by Kernighan and Ritchie
- Introduction to Algorithms by Cormen, Leiserson, Rivest & Stein
- Design Patterns by the Gang of Four
- Refactoring: Improving the Design of Existing Code
- The Mythical Man Month
- The Art of Computer Programming by Donald Knuth
- Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman
- Gödel, Escher, Bach by Douglas Hofstadter
- Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin
- Effective C++
- More Effective C++
- CODE by Charles Petzold
- Programming Pearls by Jon Bentley
- Working Effectively with Legacy Code by Michael C. Feathers
- Peopleware by Demarco and Lister
- Coders at Work by Peter Seibel
- Surely You're Joking, Mr. Feynman!
- Effective Java 2nd edition
- Patterns of Enterprise Application Architecture by Martin Fowler
- The Little Schemer
- The Seasoned Schemer
- Why's (Poignant) Guide to Ruby
- The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity
- The Art of Unix Programming
- Test-Driven Development: By Example by Kent Beck
- Practices of an Agile Developer
- Don't Make Me Think
- Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
- Domain Driven Designs by Eric Evans
- The Design of Everyday Things by Donald Norman
- Modern C++ Design by Andrei Alexandrescu
- Best Software Writing I by Joel Spolsky
- The Practice of Programming by Kernighan and Pike
- Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt
- Software Estimation: Demystifying the Black Art by Steve McConnel
- The Passionate Programmer (My Job Went To India) by Chad Fowler
- Hackers: Heroes of the Computer Revolution
- Algorithms + Data Structures = Programs
- Writing Solid Code
- JavaScript - The Good Parts
- Getting Real by 37 Signals
- Foundations of Programming by Karl Seguin
- Computer Graphics: Principles and Practice in C (2nd Edition)
- Thinking in Java by Bruce Eckel
- The Elements of Computing Systems
- Refactoring to Patterns by Joshua Kerievsky
- Modern Operating Systems by Andrew S. Tanenbaum
- The Annotated Turing
- Things That Make Us Smart by Donald Norman
- The Timeless Way of Building by Christopher Alexander
- The Deadline: A Novel About Project Management by Tom DeMarco
- The C++ Programming Language (3rd edition) by Stroustrup
- Patterns of Enterprise Application Architecture
- Computer Systems - A Programmer's Perspective
- Agile Principles, Patterns, and Practices in C# by Robert C. Martin
- Growing Object-Oriented Software, Guided by Tests
- Framework Design Guidelines by Brad Abrams
- Object Thinking by Dr. David West
- Advanced Programming in the UNIX Environment by W. Richard Stevens
- Hackers and Painters: Big Ideas from the Computer Age
- The Soul of a New Machine by Tracy Kidder
- CLR via C# by Jeffrey Richter
- The Timeless Way of Building by Christopher Alexander
- Design Patterns in C# by Steve Metsker
- Alice in Wonderland by Lewis Carol
- Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig
- About Face - The Essentials of Interaction Design
- Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky
- The Tao of Programming
- Computational Beauty of Nature
- Writing Solid Code by Steve Maguire
- Philip and Alex's Guide to Web Publishing
- Object-Oriented Analysis and Design with Applications by Grady Booch
- Effective Java by Joshua Bloch
- Computability by N. J. Cutland
- Masterminds of Programming
- The Tao Te Ching
- The Productive Programmer
- The Art of Deception by Kevin Mitnick
- The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan
- Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp
- Masters of Doom
- Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett
- How To Solve It by George Polya
- The Alchemist by Paulo Coelho
- Smalltalk-80: The Language and its Implementation
- Writing Secure Code (2nd Edition) by Michael Howard
- Introduction to Functional Programming by Philip Wadler and Richard Bird
- No Bugs! by David Thielen
- Rework by Jason Freid and DHH
- JUnit in Action
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