AI Innovations in June 2024

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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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A  Daily chronicle of AI Innovations June 12th 2024:

Table of Contents

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🏳️ 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:

🪦 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:

🖼️ 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:

🤖 Autonomous driving by musculoskeletal humanoids: A study

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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.

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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.


New AI Job Opportunities on June 12th 2024

  • 💼 UiPath – Strategic Sales Lead, EMEA:
  • 💻 Captions – Frontend Engineer:
  • 📊 Abridge – Senior Data Analyst:
  • 🏙️ Metropolis – Data Analyst:


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: 

🦹 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:

📱 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.

💌 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:

🤝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:

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:

🖥️ 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:

⚡ 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:

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
  • A next-gen Siri will converse more naturally, remember context across requests, and accomplish more complex tasks by better understanding both voice and text.
  • Siri also gains ‘onscreen awareness’, with the ability to take actions and utilize on-device info to better tailor requests to the individual user.
New AI Features
  • New AI writing tools built into apps like Mail, Messages, and Notes will allow users to auto-generate and edit text.
  • Mail will utilize AI to better organize and surface content in inboxes, while Notes and Phone gain new audio transcription and summarization capabilities.
  • AI-crafted ‘Genmojis’ enable personalized text-to-image emojis, and a new “Image Playground” feature introduces an image generation tool from prompts.
  • Photos get more conversational search abilities, the ability to create photo ‘stories’, and new editing tools.
  • A focus of the AI reveal was privacy — with new features leveraging on-device processing when possible and Private Cloud Compute for more complex tasks.
  • Private Cloud Compute (PCC) is Apple’s new intelligence system specifically for private AI processing on the cloud.
  • The new AI features will be opt-in, so users will not be forced to adopt them.
OpenAI Integration
  • The OpenAI partnership will allow Siri to leverage ChatGPT/GPT-4o when needed for more complex questions.
  • OpenAI’s blog also outlined additional ChatGPT tools like image generation and document understanding embedded into the new OS.

Why does it matter?

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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.


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.

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


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.


🐶 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.


New AI Job Opportunities on June 11th 2024

  • 🔧 Fiddler AI – Technical Project Manager, Customer Success:
  • 🎓 Cohere – Research Intern (PhD):
  • 🔬 Meta – Research Engineer, Conversational AI (Reality Labs):
  • 🎨 Palantir Technologies – 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.


🤖 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.


👑 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.


🔍 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.


🧒 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.


How does Apple send your data to its cloud AI servers? Very carefully, it claims.

Apple confirms plans to work with Google’s Gemini ‘in the future’.

Paris-based AI startup Mistral AI raises $640 million.

Tim Cook is ‘not 100 percent’ sure Apple can stop AI hallucinations:

Nvidia shipped 3.76M 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.

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.


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.


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.


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.


🚀 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.


🚨 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.


🤝 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.


🤖 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.


👑 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.


🧠 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.


🔊 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.

  1. Install the latest ChatGPT app update on your phone.
  2. Open the app and go to Settings.
  3. Scroll to “Voice Mode” and toggle “Background Conversations” on.
  4. 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.


New AI Job Opportunities on June 10th 2024:

  • 🔬 Meta – Research Engineer, Conversational AI (Reality Labs):
  • 🎨 Palantir Technologies – Product Designer, US Government:
  • 📊 Databricks – Strategic Sourcing Manager, Technology:
  • 📈 Anyscale – 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.

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.


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.


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.

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”.


🎥 Kuaishou launches new Sora rival
Chinese tech firm Kuaishou just introduced KLING, a new text-to-video AI model capable of generating high-quality videos up to 2 minutes long with outputs that appear to rival OpenAI’s still-unreleased Sora.
The details:
KLING can produce videos at 1080p resolution with a maximum length of 2 minutes, surpassing the 1-minute Sora videos demoed by OpenAI.
KLING’s demos include realistic outputs like a man eating noodles and scenic shots, as well as surreal clips like animals in clothes.
The model uses a 3D space-time attention system to simulate complex motion and physical interactions that better mimic the real world.
The model is currently available to Chinese-based users as a public demo on the KWAI iOS app.
Why it matters: These generations are even more mind-blowing when you consider that Will Smith’s spaghetti-eating abomination was barely a year ago. With users still anxiously waiting for the public release of Sora, other competitors are stepping in — and the AI video landscape looks like it’s about to heat up in a major way.

🇨🇳 ByteDance’s AI chip loophole

TikTok parent company ByteDance is renting advanced Nvidia AI chips and using them on U.S. soil, exploiting a loophole to sidestep restrictions on China’s AI chip exports.
The details:
Due to national security concerns, the U.S. government prohibits Nvidia from selling AI chips like the A100 and H100 directly to Chinese companies.
The restrictions don’t prevent Chinese firms from renting chips for use within the U.S. — ByteDance is allegedly leasing servers with chips from Oracle.
ByteDance reportedly had access to over 1,500 H100 chips and several thousand A100s last month through the Oracle deal.
Other Chinese giants like Alibaba and Tencent are also reportedly exploring similar options, either renting from U.S. providers or setting up US data centers.
Why it matters: The AI race between the U.S. and China is only escalating — and it appears major players are going to get AI chips by any means necessary. While the U.S. tries to stall its rival’s progress with restrictions, it feels like a game of whack-a-mole that won’t stop China from reaching its AI goals.

🔍 AI RESEARCH: OpenAI probes GPT’s inner workings

OpenAI just released a new paper detailing a method for reverse engineering concepts learned by AI models and better understanding ChatGPT’s inner workings.
The details:
The paper was authored by members of the recently disbanded superalignment team, including Ilya Sutskever and Jan Leike.
‘Scaling and Evaluating Sparse Autoencoders’ outlines a technique to ID patterns representing specific concepts inside GPT-4.
By using an additional model to probe the larger model, researchers found a way to extract millions of activity patterns for further exploration.
OpenAI released open-source code and a visualization tool, allowing others to explore how different words and phrases activate concepts within models.
Why it matters: Much like Anthropic’s recent “Golden Gate Claude” and corresponding research, AI firms are still working to understand what’s truly going on underneath the hood. Cracking AI’s black box would be a big step towards better safety, tuning, and controllability of rapidly advancing models.

New AI Job Opportunities on June 07th 2024:

📊 Harvey – Data Analyst
🧠 Meta – Applied AI Research Scientist – Reinforcement Learning
📣 DeepL – Corporate Communications Lead
🤝 Palantir Technologies – Enablement Partner

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). 


🏆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.


🧬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.


🔒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.


🔍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. 


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.


🤖 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.


📊 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:

  • 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.


💊 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.


🔊 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.


New AI Job Opportunities on June 06th 2024

  • 💼 Twelve Labs – Head of Finance:
  • 🔒 Fiddler AI – Senior Security Engineer:
  • 🎯 Siena – Director of Customer Success:
  • 💻 Cresta – 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. (

🏢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. (

🛒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. (

👥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. (

🚀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. (

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:

🚨 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.


🤖 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:

🚗 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:

⚛️ 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:

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.


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.


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. (

🧠 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. (

📱 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.  (

❄️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.  (

💻 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.  (

Google’s AI Overviews appear on 70% fewer Search results pages now:

OpenAI CEO Sam Altman’s chip plans were ‘too aggressive’ for TSMC:

AI startup Cohere gets $450 million from Nvidia, Salesforce, and others:

Cisco announces $1bn AI investment fund:

MIT’s new AI chatbot can simulate users’ future selves:

📱 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.

  1. Head over to OpenAI’s platform to obtain an API key. Make sure you have some credits in your account.
  2. Go to your iPhone Shortcuts and click the “+” button.
  3. Add different actions before your OpenAI API call, e.g., your desired prompt as “Text”, your API key as “Text”, and “Take a screenshot”.
  4. Call GPT-4o by using “*”* 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.


New AI Jobs Opportunities on June 05th 2024:

  • 🎨 Siena – Head of Design:
  • ⚙️ Figure AI – Software Engineer, Developer Tools and Productivity:
  • 🧠 Snorkel – ML Enablement Lead:
  • 📐 Cohere – 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.


📦 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.

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.

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.


☕️ 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.


⛈️ 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.


New AI Job Opportunities on June 04th 2024

🎨 Adept AI – Product Designer:
⚙️ Luma AI – Senior Distributed Systems Engineer:
🚗 Scale AI – Account Executive, Automotive:
🧑‍💻 Lambda – Technical Program Manager:

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. (

🎓 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. (

👎 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. (

💰 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. (

🤖 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. ( )

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:

👥 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:

🔧 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:

🎮 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:

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:

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.


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.


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. (

🎬 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. (

🚀 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. (

💬 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. (

🗑️ 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. (

Latest AI Tools on June 03rd  2024:

  • 👩‍🎤 Consistent Character Model – Create consistent character images in different poses:
  • ✍️ Perplexity Pages – Turn your research into shareable articles with AI:
  • 🎥 PixVerse Magic Brush – Brush areas, mark directions, and watch images come to life:
  • 🔰 Glaze – Protect artists from generative AI:
  • 🎨 Fontjoy – Helps designers find perfect font pairings in one click:
  • 🤗 Eva Coach – An AI assistant to help manage work-related stress:

Latest AI Jobs on June 03rd 2024:

  • 🔧 Figure AI – Solutions Lead:
  • 💻 Kumo – Software Engineer Internship:
  • 🛠️ Palantir Technologies – Backend Software Engineer, Application Development:
  • 📖 Meta – Technical Program Manager, AI Research:

A Daily Chronicle of AI Innovations in May 2024

  • A Schedule-Eating, Calendar-Pooping Bot for Busy Parents
    by /u/earnest_shackleton (Artificial Intelligence Gateway) on June 12, 2024 at 7:37 pm

    I have an AI need that if filled would save me probably 40 hours of painstaking scheduling every year: A way to look at schedules - regardless of format - and generate calendars for my phone. A SIMPLE ASK: Gym schedules, music schools, tennis lessons, yoga classes, language lessons, dance, art, whatever…. (1) Screen grab (2) press a button (3) boom, I have a calendar. A MESSY CALENDAR LANDSCAPE: I have two young kids who do a lot of activities and sports. Every single one of these organizations provides their calendars in a different format: a simple weekly schedule in word file, a jpg of an excel spreadsheet, color coded png of a spreadsheet that is sprinkled with photos, bullet point outline, an excel file, and so on. DRUDGERY: It takes so much time to be able to put these side by side and determine, say, whether my daughter will be able to take an acting class on the same day my son wants to do a karate class and would I be able to get to the gym at all that day? This is a huge time sync. Right now I’m coping with having to change schedules about six times a year. SIMPLE?: would it be hard to teach an AI to comprehend a schedule grid and make a new calendar? I know little about AI but I know I have this need - this must be AI’s highest and best use! submitted by /u/earnest_shackleton [link] [comments]

  • 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 🤝AI Jobs
    by /u/enoumen (Artificial Intelligence Gateway) on June 12, 2024 at 7:20 pm

    submitted by /u/enoumen [link] [comments]

  • There is negative profit in building and investing in foundational AI models as a business
    by /u/Certain_End_5192 (Artificial Intelligence Gateway) on June 12, 2024 at 7:18 pm

    This one is going to make the 'AI gurus' mad, I have a knack for doing that. I also have a knack for staying at least two years ahead of the competition. There is negative profit in building foundation models. If you can figure out some differentiation, I can figure it out too. If you know, you know. People are finally starting to understand and listen. I make this post because yet another player in the AI video space has emerged! Luma AI and the 'Dream Machine'! They can link their own stuff. Want to be at least two years ahead of your competition? Simply reach out! Want to know the real secret? Don't focus on the models, they are the pyrite. For business purposes, treat it like AI paper mache: submitted by /u/Certain_End_5192 [link] [comments]

  • How to choose the AI coding assistant that works best for your engineering team
    by /u/creativefisher (Artificial Intelligence Gateway) on June 12, 2024 at 5:31 pm

    Ten questions to ask when evaluating a coding AI assistant (and a bonus one): Does it work with your existing tools - IDEs, Code hosts? Does it support the programming languages and frameworks you use? Does it support your specific use case scenarios? Does it utilize your entire codebase to provide contextually relevant results? Does it use non-code context to generate code that considers your broader requirements? Does it allow you to take advantage of advancements in the fast-moving LLM space? Does it allow you to leverage your existing AI investments? Does it work in your preferred deployment setup? Does it protect you from intellectual property risks? Does it protect against the risk of your data being leaked or exposed? Does it guarantee that it will not train using your code? Read more here. submitted by /u/creativefisher [link] [comments]

  • Post-human ideologies (summary in 1 sentence)
    by /u/Maybe-reality842 (Artificial Intelligence Gateway) on June 12, 2024 at 5:25 pm

    Post-human ideologies: Dataism: Prioritizes the flow and processing of data above human experiences, viewing humans as mere contributors to data systems. Techno-Humanism (Transhumanism): Advocates for enhancing human capabilities through biotechnology and cybernetics to transcend biological limitations and achieve immortality. Cosmism: Seeks the expansion of human presence beyond Earth, advocating for the colonization of space and spreading human civilization across the cosmos. Singularitarianism: Believes in the eventual emergence of a technological singularity where AI surpasses human intelligence, leading to profound societal changes. r/singularity Ecocentrism: Emphasizes the intrinsic value of all living organisms and ecosystems, advocating for a harmonious relationship between humans and nature. 🍀 Post-Humanism: Critiques traditional humanism and explores future human existence beyond current biological and cultural limitations. Technogaianism: Combines ecological sustainability with technological innovation to solve environmental problems and create a sustainable future. Biopolitics: Examines the intersection of biology and politics, focusing on the governance and ethical implications of biotechnological advancements. Cybernetic Humanism: Advocates for the integration of cybernetic systems with human biology to enhance human capabilities and improve quality of life. submitted by /u/Maybe-reality842 [link] [comments]

  • Why I wouldn't rule out Large Language Models taking us to AGI:
    by /u/HeroicLife (Artificial Intelligence Gateway) on June 12, 2024 at 4:45 pm

    The argument against LLMs achieving AGI is often based on contrasting them with human intelligence: A: Human intelligence develops from small amounts of data, in real-time, on 20W of power, using metacognition. By contrast, LLMs work with massive amounts of data, are pre-trained, use massive power, and operate without any cognitive awareness. Therefore, AGI requires a different paradigm. B: LLMs have already exhausted most available data sources, and without much larger datasets, they can't get much smarter. However, this analysis is mostly flawed: Human intelligence did develop using massive amounts of data and power: Our cognitive architecture developed over hundreds of millions of years and is encoded in our DNA. Our senses process massive quantities of data while growing up. (We're barely aware of this, since the process is almost entirely subconscious.) LLMs training builds cognitive architecture from scratch, effectively re-encapsulating both the evolutionary process and real-time learning. While very different, it's not necessarily insufficient for intelligence. The essential similarity between human brains and LLMs is that they are essentially compression algorithms: compressing massive amounts of world data into worldviews that provide predictive models to guide action. The main difference is that human brain's architecture and learning processes are highly optimized and efficient, allowing it to learn from relatively small amounts of data in real-time. LLMs, on the other hand, require vast amounts of data and computational power to achieve comparable performance. We don't know how human intelligence works on an architectural basis, so LLMs are a "brute force" approach to bridge that ignorance. It's likely that human-level intelligence can run on much more modest hardware -- if we only knew the correct architecture. The efficiency of LLM training and operation is improving rapidly however, as the close in on the optimal architecture: Advancements in LLM architectures, such as the development of more efficient attention mechanisms and the incorporation of sparse representations, can help reduce the computational and data requirements for training and inference. It's a misconception that progress in the LLM era will be one of using ever-larger datasets. On the contrary, progress is being made using ever-smaller datasets and learning how to train LLMs on synthetic (self-generated) data with positive-feedback cycles. The LLM training process generates its own intermediate training data, which is used to create the next generation of training data. The human-source data is thus only needed to jumpstart the process. Back to the definition of LLMs: Broadly defined, LLMs are algorithms that are based on large datasets, unsupervised learning, generalization of skills that are not explicitly trained, and wide applicability to downstream tasks. This is very much like human intelligence -- except that our training encapsulates both the evolutionary process and real-time learning. submitted by /u/HeroicLife [link] [comments]

  • AI Reading List - Part 3
    by /u/Personal-Trainer-541 (Artificial Intelligence Gateway) on June 12, 2024 at 4:15 pm

    Hi there, The third part in the AI reading list is available here. In this part, we explore the following 5 items in the reading list that Ilya Sutskever, former OpenAI chief scientist, gave to John Carmack. Ilya followed by saying that "If you really learn all of these, you’ll know 90% of what matters today". I hope it may be of use to some of you out there. Feedback is more than welcomed! 🙂 submitted by /u/Personal-Trainer-541 [link] [comments]

  • Breakthrough in Quantum Teleportation: Sustained, High-Fidelity Achieved
    by /u/Write_Code_Sport (Artificial Intelligence Gateway) on June 12, 2024 at 3:55 pm

    Researchers have made a significant leap towards realizing a quantum internet by achieving sustained, high-fidelity quantum teleportation. This milestone could revolutionize data storage, precision sensing, and computing, heralding a new era of communication. Scientists successfully teleported qubits over a 27-mile fiber-optic network with over 90% fidelity. Read more submitted by /u/Write_Code_Sport [link] [comments]

  • Briefly about Stable Diffusion 3 Medium
    by /u/Alex_GD_SkillPotion (Artificial Intelligence Gateway) on June 12, 2024 at 3:50 pm

    Hardware: SD3 is suitable for use on standard consumer GPUs without performance degradation due to low VRAM usage. Believable? Yes. Fine Tuning: Capable of inheriting the finest details from small datasets, making it ideal for further training. Believable? Yes. Speed Increase: A version optimized for TensorRT will be available soon, offering a 50% speed increase. Believable? Yes. AMD Optimization: AMD has optimized inference for SD3 Medium across various devices, including AMD’s latest APUs, consumer GPUs, and MI-300X Enterprise GPUs. Believable? Questionable. Licensing: Stable Diffusion 3 Medium is open for personal and research use. A new Creator License enables professional users to utilize SD3 while supporting Stability's mission to democratize AI, maintaining a commitment to open AI. Creator License: $20 per month - submitted by /u/Alex_GD_SkillPotion [link] [comments]

  • How will nations navigate the "difficult period" following the rapid surge in AI technology?
    by /u/PumpkinStrange9289 (Artificial Intelligence Gateway) on June 12, 2024 at 3:21 pm

    Consider a future scenario where AI advances significantly, replacing approximately 80% of office jobs. This technological leap would likely cause a sudden loss of employment for many professionals such as programmers, artists, and writers, who may then need to transition to blue-collar jobs, potentially driving down wages in those sectors. However, this wave of AI integration primarily affects white-collar roles, leaving most blue-collar jobs untouched. Consequently, the costs of essentials like food and water might not decrease substantially. This is partly because AI doesn't automate these industries extensively in the short term—acquiring and setting up the necessary equipment for mass automation in food production and other industrial sectors takes time. Additionally, the widespread unemployment and reduced cost of production could lead to a significant decrease in tax revenue. This poses a challenge for implementing solutions like Universal Basic Income (UBI), given the diminished fiscal capacity. In light of these issues, it raises the question: how will nations navigate such challenging times? Could this pressure cooker situation lead to major global conflict? submitted by /u/PumpkinStrange9289 [link] [comments]

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