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 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.
• Source

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.

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.

Source

 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.

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.

Source

 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.

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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.

Source

 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”.

Source

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:

1. Visit Google’s Gemini website. If Gemini is not available in your country, you’ll need to use a US-based VPN.
2. Click on the gear icon located on the bottom-left, select Extensions, and turn on the YouTube one.
3. 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

Source

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.

Source

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.

Source

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.

Source

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 

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:

1. Access Adobe’s Enhance Speech website. Sign in or sign up for free.
2. Upload your audio by selecting “Choose file” or simply drag and drop the file.
3. Wait a few seconds while Adobe’s AI analyzes and removes unwanted noises from your file.
4. 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.

Source

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.

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.

Source

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.

Source

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:

Head over to ChatGPT. You need a Pro account to enable this feature. Click on your account name (bottom-left), select Settings, Personalization, and enable Memory. Teach ChatGPT to remember specific details by explicitly stating them in the chat, e.g., “Remember that I am vegetarian when you recommend a recipe.” Manage your memories by clicking the “Manage” button located in the Memory section to view, edit, or delete specific memories.

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.

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.

Source

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).

Source

 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.
• Source

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

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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

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.

 Figure: Overview of multi-token prediction

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.)

Source

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.

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.

Source

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.

Source

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

AI Training:

 Create infinite styles with Midjourney

Midjourney’s new parameter feature called –sref random lets users generate images in completely random styles to help spark creativity.

Step-by-step:

Visit Midjourney’s Discord. You will need a paid subscription to use this feature. Type -sref random after your prompt to grab a completely random style. To create a new image based on a previous style, grab the URL of the image, and type -sref [URL]

Example prompt: “Portrait of a woman smiling –sref https://www.…”

AI RESEARCH

AI model predicts drug effectiveness Image source: DALL-E 3 Ohio State University researchers just developed CURE, an AI model that can accurately estimate drug treatment effects and effectiveness without clinical trials. The details: The model is trained on de-identified health records of over 3M patients, allowing it to gain a deep understanding of patient characteristics. CURE outperformed seven other leading AI models in treatment effectiveness predictions, with improvements of 7-8% on key benchmarks. The AI predictions are closely aligned with clinical trial findings in tests, showcasing the potential to generate insights that streamline drug testing. 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.

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

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.

Source

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.

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.

Source

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.

Source

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.

A Daily Chronicle of AI Innovations in April 2024