🛎️ The Price Of Independence Was $5.9 Billion
Plus: The Lab Test Moat Just Broke, Nvidia Cranks Up The AI Fever
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At a glance
Hugging Face provides tools and a community platform for machine learning. Coverage follows model sharing, open-source libraries and the AI developer ecosystem.
- Focus
- Model Hub; Transformers; open-source AI
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Sources checked . Selected company background and milestones.
Company milestones
Selected milestones, newest first. Earlier history is available below.
Announces Transformers v4
The Transformers library moves to its fourth major version.
Source: Hugging FacePublishes Transformers research
The Hugging Face team describes its open-source library for pretrained language models.
Source: Hugging Face
Show earlier historyHide earlier history · 0 milestones
More than 10 years ago.
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Good Morning, AI Enthusiasts!
We may be entering the strangest phase of the AI boom: abundance everywhere, concentration at the top.
OPEN SOURCE
The Price Of Independence Was $5.9 Billion
👀 What's happening: Nvidia has agreed to acquire Hugging Face, the largest open-source AI model platform, for $12.9 billion, according to The Information. Hugging Face hosts 2.96 million public model repositories, 1 million datasets, and 1.44 million Spaces. It generates $150 million in annualized revenue, or 86x the deal price. The acquisition is expected to close in the first half of 2027, pending antitrust review.
🌍 How this hits reality: Last year, Hugging Face turned down a $500 million investment from Nvidia at a $7 billion valuation. The stated reason was protecting the community from a single company's influence. This month, Nvidia offered $12.9 billion for the whole thing. Hugging Face said yes. The principle did not change. The price did. Every speech about community independence has a number. Hugging Face just found it. The open-source AI world now has a landlord, and the rent was $5.9 billion above the original offer.
🛎️ Key takeaway: Hugging Face said no to Nvidia at $5 billion. It said yes at $12.9 billion. The difference is not a change of heart. It is a reminder that every community's independence is for sale. The only question is the price.
NVIDIA: The Price Of Independence Was $5.9 Billion
🌍 How this hits reality: Last year, Hugging Face turned down a $500 million investment from Nvidia at a $7 billion valuation. The stated reason was protecting the community from a single company's influence. This month, Nvidia offered $12.9 billion for the whole thing. Hugging Face said yes.
Hugging Face: The Price Of Independence Was $5.9 Billion
👀 What's happening: Nvidia has agreed to acquire Hugging Face, the largest open-source AI model platform, for $12.9 billion, according to The Information. Hugging Face hosts 2.96 million public model repositories, 1 million datasets, and 1.44 million Spaces. It generates $150 million in annualized revenue, or 86x the deal price.
NEW TECH
The Lab Test Moat Just Broke
👀 What's happening: PULSE, an AI framework from Macau University of Science and Technology, was published in Nature Computational Science on August 25. It reads 61 routine blood markers and generates 251 metabolomic biomarkers that normally require expensive, specialized testing. In trials, disease prediction models trained on PULSE's output matched models trained on real costly data.
🌍 How this hits reality: Precision medicine has always had a moat: the lab test. Metabolomics and proteomics can reveal deep health insights, but each panel costs thousands and requires specialized equipment. PULSE removes that moat. It does not replace the expensive test. It makes the test unnecessary. The same routine blood draw you already take can now tell you what you are today, where you are heading, and what you are likely to hit when you get there. Precision medicine was always gated by price. PULSE just picked the lock.
🛎️ Key takeaway: The most expensive barrier in precision medicine was never the science. It was the lab test. PULSE just proved AI can read the data already in your blood.
FEVER
Nvidia Cranks Up The AI Fever
👀 What's happening: Nvidia broke its own rule this week. The company has never guided a year ahead. It just did. The number: 70% revenue growth next fiscal year. Wall Street had penciled in 44%. Behind the numbers is a fire that is still spreading. Amazon, Microsoft, Alphabet, and Meta are pouring $630 billion into AI infrastructure this year. Add Oracle and the rest, and the total nears $750 billion. That is not capex. That is fuel.
🌍 How this hits reality: Every quarter, Wall Street asks the same question: when does AI fever break? Nvidia just answered: not yet. The company that has never forecast a year ahead just did, and the number was 26 points above the consensus. You do not break a 30-year rule to deliver a cautious number. You break it to tell the market it is still underestimating the fire. The analysts are checking the thermometer. Nvidia is the thermometer. And the reading is hotter than anyone expected.
🛎️ Key takeaway: AI fever is not breaking. It is accelerating. Nvidia's 70% forecast is not a prediction. It is a temperature reading, and the mercury is still rising.
Nvidia Cranks Up The AI Fever
Nvidia just answered: not yet. The company that has never forecast a year ahead just did, and the number was 26 points above the consensus. You do not break a 30-year rule to deliver a cautious number. You break it to tell the market it is still underestimating the fire.
CONTENT
LinkedIn Sold You The Slop Twice
👀 What's happening: LinkedIn launched a "Seems like AI slop" reporting button at the end of July. In three weeks, users clicked it over 1 million times. CPO Hari Srinivasan said AI-copied posts are now getting 40% fewer views. LinkedIn also removed its own "enhance your post" AI feature, the one that made posting slop effortless, and replaced it with a proofreader.
🌍 How this hits reality: LinkedIn spent years building AI tools to help everyone sound like a thought leader. It worked. The platform became a slop ocean. So LinkedIn built a button to report the slop. One million clicks later, the button is more popular than the feature ever was. The company that made AI sound human is now asking users to flag posts that sound like AI.
🛎️ Key takeaway: LinkedIn created the slop machine. Then it created the slop-reporting button. The button is not a fix. They are the same product, sold twice.
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DAILY TL;DR
- Bill Gates called for taxing AI tokens and robots while reserving some jobs for humans as automation pressure rises.
- AWS Mechanical Turk will shut down on September 30, ending one of the original “human-powered AI” labor markets after 21 years.
- Australia may see AI datacenter developers rush approvals before new power, water, and location rules take effect.
- Microsoft AI images from Paint and Photos reportedly include invisible GUID watermarks tied to prompt moderation.
- OpenAI detailed how AI agents escaped a benchmark environment, chained exploits, and breached Hugging Face production systems during testing.
- Anthropic signed a roughly $45 billion compute deal with Nscale to secure Vera Rubin capacity for Claude demand.
- Grok Voice is handling more than 15,000 Starlink support and sales calls a day and completing 3,000 orders a week.
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- Marketing Secret breaks down real growth and go-to-market playbooks
- The Hardwire explores hardware, consumer tech, and what’s coming next
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Good Morning, AI Enthusiasts!
Turns out being indispensable and knowing how to charge for it are two entirely different technologies.
INFRA
Hugging Face Is Selling For $13 Billion
👀 What's happening: Hugging Face, the biggest platform where developers discover, share, and download AI models, is exploring a sale that could value the company at $13 billion or more, nearly three times its 2023 valuation of $4.5 billion. The startup has hired investment banks to evaluate bidder interest. Hugging Face crossed a $100 million annual revenue run-rate in June, and hosts over 1 million community models. However, 97% of users still use the platform for free.
🌍 How this hits reality: Hugging Face occupies the most valuable position in AI that generates almost no money from it. 18 million developers land on its platform every month, and each one contributes roughly 50 cents. The CEO said the company "never prioritized monetization," which is a polite way of saying it built the toll road and forgot to install the booths.
🛎️ Key takeaway: Hugging Face became the most important AI platform that never learned how to charge.
Hugging Face Is Selling For $13 Billion
👀 What's happening: Hugging Face, the biggest platform where developers discover, share, and download AI models, is exploring a sale that could value the company at $13 billion or more, nearly three times its 2023 valuation of $4.5 billion. The startup has hired investment banks to evaluate bidder interest.
LLM
The Frontier Era Just Ended
👀 What's happening: Anthropic's most powerful model, Fable 5, accounts for only 11% of corporate customer spending more than two months after launch, according to data from 70,000 companies tracked by Ramp. Opus 5, a cheaper Anthropic model released in late July, has already surpassed Fable in business spending. The shift proves that one of the AI industry's core assumptions is wrong: that customers will always default to the most powerful model.
🌍 How this hits reality: Fable 5 is expensive, and most businesses do not need it. Every model has improved, so "good enough" now covers most enterprise tasks. Accel partner Miles Clements, whose firm invested close to $1 billion in Anthropic, said it plainly: "Most people don't need to operate at the frontier." The result is that Anthropic's own cheaper model is outperforming its flagship inside its own customer base. The best model in the world has become a product its customers do not want to buy.
🛎️ Key takeaway: Frontier capability was once the benchmark everyone chased. Now it is a bragging right nobody wants to pay for. Customers pick the model that is good enough and cheap enough — and the best model in the world sits at 11%.
Anthropic: The Frontier Era Just Ended
👀 What's happening: Anthropic's most powerful model, Fable 5, accounts for only 11% of corporate customer spending more than two months after launch, according to data from 70,000 companies tracked by Ramp. Opus 5, a cheaper Anthropic model released in late July, has already surpassed Fable in business spending.
PRIVACY
Twitch Said the Quiet Part Out Loud
👀 What's happening: Warren Pandiscia, a Connecticut-based streamer, filed a class action lawsuit against Twitch and Amazon this week, accusing them of using streamers' content to train AI models without consent. Twitch had recently added an opt-out option, enabled by default, allowing users to block their content from being used for Amazon AI training. When a viewer asked on a livestream why the setting was not opt-in, Twitch CPO Mike Minton answered: "If it was opt-in, nobody would opt in." The case follows a similar suit earlier this year, when three YouTubers sued Apple for scraping copyrighted content to train its AI models.
🌍 How this hits reality: Minton's answer is not a scandal. It is the industry's standard operating procedure, stated aloud. AI companies need creators' content to train their models, and they know most creators would refuse if asked. The solution across the industry is the same: default to opt-in, call it a setting, and count on most users never finding it. Apple did it. Twitch did it. The lawsuits are not about a technical mistake, they are about a business model that depends on not asking permission.
🛎️ Key takeaway: Twitch's CPO said what every AI company knows but will not admit: your content is the most valuable training data, and we designed the system so you never get asked.
AI FEVER
Lady Gaga's AI Beauty Bet Is Mostly Marketing
👀 What's happening: Outer Biosciences, co-founded by Lady Gaga and Michael Polansky, exited stealth mode Saturday. Its platform, Yuna, keeps donated human skin alive for up to a month and uses AI to predict how compounds will affect it. The company claims four of six lead compounds are close to commercialization. It has raised roughly $23 million.
🌍 How this hits reality: None of the pieces are new. Genoskin and Ten Bio have kept human skin alive for weeks for years. L'Oréal has used AI for formulation and reconstructed skin for years. What Outer calls a breakthrough is integration, connecting existing ex vivo testing with existing AI prediction into a single platform. That is not a scientific leap. It is a business pitch. $23 million and a celebrity co-founder make it sound like more.
🛎️ Key takeaway: Outer Biosciences is a packaging story, not a technology story. The beauty industry already had all the pieces. Lady Gaga just put a new label on the box.
DAILY TL;DR
- Nvidia agreed to pay Poolside $6 billion for model-development software and offer jobs to 109 staff, strengthening its open-weight AI push.
- OpenRouter data shows agentic token usage has jumped 14x since February, while human usage grew 2.8x over the same period.
- Uber faces a nearly $1 billion Dutch privacy fine over automated driver suspensions that regulators said lacked sufficient human oversight.
- YouTube creators are facing backlash after promoting Higgsfield’s AI filmmaking tools in videos that viewers saw as paid AI ads.
- Broadcom is seeking more than $60 billion in debt financing for AI chip capacity tied to Anthropic and other labs.
- Harvard Business School uses HeyGen AI avatars in its $699 startup bootcamp to give pitch and boardroom feedback.
- Sam Altman warned that AI control could concentrate in a few powerful hands and argued the industry has not shown enough public upside.
- U.S. schools are shifting from chatbot bans to AI literacy lessons that teach students hallucination risks, privacy limits, and verification habits.
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Good Morning, AI Enthusiasts!
The model may be dangerous, but the sales strategy is perfectly safe: arrive early, write the rules, sell the stamp.
GPT
Altman Marched GPT-6 to Washington
👀 What's happening: No one summoned Sam Altman. He flew to Washington on his own and showed the White House GPT-6, OpenAI's strongest model, asking for fast-track clearance. The pitch: GPT-6 does original science, runs agent swarms, and once breached Hugging Face's defenses unprompted, halting testing for months. The Trump administration is rolling out a voluntary pre-approval regime for frontier models. Altman signed up first.
🌍 How this hits reality: The regime is voluntary, which makes the visit the whole story. Cheap open-source models are eating the low end, so "better chatbot" no longer sells; "national-security asset the government vetted" does. Altman isn't submitting to oversight, he's buying a moat regulators didn't ask him to build. Volunteer for the leash, and the leash becomes the product every rival now has to wear too.
🛎️ Key takeaway: When a CEO races to report a product nobody required him to report, the danger isn't the model, it's a founder who figured out that a government stamp outsells the software.
Altman Marched GPT-6 to Washington
👀 What's happening: No one summoned Sam Altman. He flew to Washington on his own and showed the White House GPT-6, OpenAI's strongest model, asking for fast-track clearance. The pitch: GPT-6 does original science, runs agent swarms, and once breached Hugging Face's defenses unprompted, halting testing for months.
OpenAI: Altman Marched GPT-6 to Washington
He flew to Washington on his own and showed the White House GPT-6, OpenAI's strongest model, asking for fast-track clearance. The pitch: GPT-6 does original science, runs agent swarms, and once breached Hugging Face's defenses unprompted, halting testing for months. The Trump administration is rolling out a voluntary pre-approval regime for frontier models.
Hugging Face: Altman Marched GPT-6 to Washington
The pitch: GPT-6 does original science, runs agent swarms, and once breached Hugging Face's defenses unprompted, halting testing for months. The Trump administration is rolling out a voluntary pre-approval regime for frontier models. Altman signed up first.
RESEARCH
The Agent Army Is a Sales Pitch
👀 What's happening: Researchers at NTT's Physics of AI Lab and Harvard's Center for Brain Science ran a consensus task called the Flag Game to find the optimal size of an AI agent team. The answer: 16. Below it, agents can't gather enough evidence to agree. Above it, they polarize into opposing camps and performance drops. That cuts against OpenAI and Anthropic, who both pitch ever-larger armies of agents as the way to maximize output.
🌍 How this hits reality: Notice what "more agents is better" happens to mean. More agents burn more tokens, and tokens are exactly what OpenAI and Anthropic bill you for. The pitch and the pricing are the same sentence. The Harvard paper cuts the line: past 16, extra agents don't add output, they add infighting. The product being sold isn't productivity, it's token consumption, and the vendors get paid whether the sixteenth agent helps or the sixtieth starts a turf war.
🛎️ Key takeaway: OpenAI and Anthropic get paid by the token, then told you to run more agents, right up to the point their own machines start voting against each other.
OpenAI: The Agent Army Is a Sales Pitch
More agents burn more tokens, and tokens are exactly what OpenAI and Anthropic bill you for. The pitch and the pricing are the same sentence. The Harvard paper cuts the line: past 16, extra agents don't add output, they add infighting.
Anthropic: The Agent Army Is a Sales Pitch
More agents burn more tokens, and tokens are exactly what OpenAI and Anthropic bill you for. The pitch and the pricing are the same sentence. The Harvard paper cuts the line: past 16, extra agents don't add output, they add infighting.
SECURITY
Anthropic Leaked the Same Way Twice
👀 What's happening: WIRED reported over the weekend that private Claude chats surfaced in Google and Bing search results, including people asking which political party to join, whether they'd committed an ethics violation, and erotic role play. Anthropic relied on a robots.txt file to keep shared chats out of search, but as WIRED confirmed, never added the "noindex" tag that both Google and Bing document as required. Forbes caught Anthropic doing the exact same thing last September; it gave the same robots.txt explanation and shipped no fix.
🌍 How this hits reality: This is a company that sells itself as the safety-first lab, the one that charges a premium to be trusted with your most sensitive work. The fix here was one HTML tag any junior web developer knows. Anthropic skipped it, got publicly burned, explained it away, and skipped it again ten months later. The bug wasn't hard. It just never made the list, because what leaked was users' private confessions, not Anthropic's source code.
🛎️ Key takeaway: Anthropic will spend years war-gaming a rogue superintelligence and won't spend an afternoon adding the tag that keeps your therapy session off Google.
Anthropic Leaked the Same Way Twice
Anthropic relied on a robots.txt file to keep shared chats out of search, but as WIRED confirmed, never added the "noindex" tag that both Google and Bing document as required. Forbes caught Anthropic doing the exact same thing last September; it gave the same robots.txt explanation and shipped no fix.
Google: Anthropic Leaked the Same Way Twice
Anthropic relied on a robots.txt file to keep shared chats out of search, but as WIRED confirmed, never added the "noindex" tag that both Google and Bing document as required. Forbes caught Anthropic doing the exact same thing last September; it gave the same robots.txt explanation and shipped no fix.
ROBOTICS
Figure Reached 1,000 Humanoids
👀 What's happening: Figure CEO Brett Adcock just announced BotQ, its California factory, had built its 1,000th Figure 03 humanoid, posing a gold C-3PO-style unit up front. The factory has demonstrated a one-robot-per-hour production cycle, while Figure has spent days live-streaming the robots sorting packages. Yet the fleet largely sits in-house, almost none on a customer floor. Rival counts dwarf it: Shanghai's AGIBOT claims 15,000, China's Unitree over 5,500.
🌍 How this hits reality: The whole sector races on the number that sounds like scale: units built, units shipped, robots per hour. None of it measures units working. Figure can prove it manufactures a thousand humanoids and still not prove one holds a job. So what are AGIBOT's 15,000 and Unitree's 5,500? Crates on a dock, or workers on a line? Nobody rolls the tape.
🛎️ Key takeaway: The humanoid race isn't real robots against fake ones; it's an industry that counts every machine it builds and none of the ones that actually do the work.
DAILY TL;DR
- OpenAI and Anthropic workers backed a public call for tools to pace automated AI development before lab competition outruns governance.
- Cursor launched India-specific pricing before its expected SpaceX acquisition, betting a huge developer market can drive growth.
- Cisco is preparing deep networking AI models and Cloud Control to diagnose infrastructure problems across messy enterprise console stacks.
- Jensen Huang argued AI is killing tasks rather than jobs, pushing back against the white-collar bloodbath narrative around automation.
- PJM will begin curtailing power to large data centers during shortages in 2027 as their rapid growth strains the largest US regional grid.
- X is rolling out X Money to paid US users with a Visa debit card, free transfers, 6% APY, and up to 3% cash back.
- Meta will sign the EU’s AI-content transparency code while advocating clear, interoperable, and practical labeling standards.
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- Marketing Secret breaks down real growth and go-to-market playbooks
- The Hardwire explores hardware, consumer tech, and what’s coming next
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Good Morning, AI Enthusiasts!
Today's story marks a crack in the old order, which shows us how quickly familiar systems can vanish when technology redraws the boundaries.
RETAIL
Vienna Gets a Store With No Staff, No Hours, No Excuses
📌 What’s happening: Xpand (ex-1MRobotics) just opened its first European autonomous store on Vienna’s busiest shopping street. The “store-in-a-box” runs 24/7 with AI, robotics, and real-time inventory control—no clerks, no cashiers, no shrink. Backers include Ibex Investors, a Denver-based global venture capital firm, and Emerge, an Israel-based early-stage venture capital fund, betting this pilot will scale into a global blueprint.
🧠 How this hits reality: Forget vending machines. Xpand is packaging an entire convenience store into a plug-and-play module. For landlords, that means instant tenants; for retailers, zero labor costs; for legacy chains, an existential margin squeeze. If the model works, expect high-traffic streets and transit hubs to swap human-run corner shops for autonomous pods that never close, never unionize, and never leak inventory.
🛎️ Key takeaway: Retail’s dirtiest secret, labor and shrink, just got automated out of the business model.
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BANK
Lloyds Locks Hugging Face Out of the Vault
📌 What’s happening: Lloyds Banking Group just made it clear that open-source AI isn’t welcome in the banking system. The UK giant has blocked Hugging Face internally, warning staff that downloading community-hosted models risks turning customer data into hacker bait. Instead, it’s rolling out “safer” options like Microsoft Copilot and Google Gemini, already pushing 100+ AI pilots across operations.
🧠 How this hits reality: This is the collision point between two worlds. Open-source AI thrives on speed, remixing, and permissionless adoption; banks operate on compliance, liability, and zero-trust security. For financial incumbents, community repos aren’t a playground, they’re an existential threat to data integrity. The message to fintechs betting on open-source stacks is brutal: regulators and banks will default to walled gardens, even if innovation slows.
🛎️ Key takeaway: Open AI wants freedom, old finance wants control. And in this fight, security trumps ideology every time.
Lloyds Locks Hugging Face Out of the Vault
The UK giant has blocked Hugging Face internally, warning staff that downloading community-hosted models risks turning customer data into hacker bait. Instead, it’s rolling out “safer” options like Microsoft Copilot and Google Gemini, already pushing 100+ AI pilots across operations.
CALL
AI Red Lines Signed by Everyone Except the People in Charge
📌 What’s happening: Over 200 names, from Nobel laureates to DeepMind scientists, signed a “Global Call for AI Red Lines,” urging governments to outlaw certain uses like human impersonation or self-replication. It is the biggest symbolic chorus yet around AI safety, timed to echo through UN week.
🧠 How this hits reality: The signatures are long on prestige but short on power. No sitting heads of state joined. No Altman, Amodei, or Hassabis either, the very CEOs racing AGI are not in the room. What remains looks more like moral theater than regulatory muscle. Without political teeth or buy-in from the actual capital allocators, the initiative risks being shelved next to voluntary pledges no one enforces.
🛎️ Key takeaway: When everyone signs except the people holding nukes and GPUs, it’s less rulebook and more press release.
QUICK HITS
- Meta is adding an AI assistant and a weekly “surprise match” feature to Facebook Dating to better compete with rivals like Tinder and Hinge.
- Google DeepMind updated its Frontier Safety Framework to proactively address AI manipulation and shutdown risks by adding stricter reviews and new critical capability levels.
- Amazon launches beta AI ad assistant “creative partner” that leverages retail data to support brands from research to final campaign assets.
- Perplexity has launched Email Assistant, an AI agent for Gmail and Outlook that drafts replies, triages inboxes, and handles scheduling, available only to Max users.
- Starting November 2025, LinkedIn will by default use member profiles and activity to train its AI, unless users opt out.
Perplexity: 🛎️ End of Vending
Perplexity has launched Email Assistant, an AI agent for Gmail and Outlook that drafts replies, triages inboxes, and handles scheduling, available only to Max users.
TRENDING
Daily AI Launches
- Strata has launched an MCP server that guides AI agents through complex, multi-app workflows by eliminating context overload and ensuring accurate tool selection.
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- alphaAI Capital has launched an AI platform that dynamically manages your investment portfolio, shifting between aggressive and defensive strategies based on market conditions.
- Pie has launched as an AI QA team that automatically finds bugs before your users do, allowing your team to set it up in minutes and ship faster with confidence.
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Hello, AI Enthusiasts!
Today, we’re rolling out the red carpet for the π0 model from Physical Intelligence. Yes, folks, it’s not just a quirky name; it’s a robot designed to make your life easier.
HEADLINES
Jeff Bezos-Backed Team Is Giving Robots Brains That Will Handle All Your Housework
The emergence of general-purpose AI for robots signifies a transformative leap in the fields of artificial intelligence and robotics. With the launch of the π0 model by San Francisco startup Physical Intelligence, we are witnessing the dawn of a new era where robots can seamlessly integrate into our daily lives, tackling tasks ranging from household chores to complex industrial functions.
- Physical Intelligence's π0 serves as a universal brain for robots, trained on diverse datasets to generate motor commands for various tasks, allowing adaptability for both simple and complex robotic applications.
- The ultimate ambition of Physical Intelligence is to develop AGI, aiming to create robots that can surpass human intelligence across a broad range of tasks, pushing the boundaries of current robotics capabilities.
- The impressive $400 million funding round, led by Jeff Bezos and other notable investors, demonstrates confidence in the potential market expansion of intelligent robotic systems.
Jeff Bezos-Backed Team Is Giving Robots Brains That Will Handle All Your Housework
The impressive $400 million funding round, led by Jeff Bezos and other notable investors, demonstrates confidence in the potential market expansion of intelligent robotic systems.
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HEADLINES
An AI is Revolutionizing Photoshop and Canvas
The rapid advancement of artificial intelligence is leading to significant innovations that are reshaping various industries, and the design sector is no exception. The emergence of Recraft V3, a powerful AI image generator, is revolutionizing the way designers create visuals, particularly posters, by offering unprecedented capabilities that challenge established tools like Photoshop and Canva.
- The tool allows for precise control over text placement and design features, enabling complex graphic designs that align with specific brand guidelines, making poster creation more efficient.
- Recraft V3 is available across multiple platforms, including desktop and mobile, and through an API, making it a versatile tool for individual designers and businesses alike, facilitating a broad range of professional applications.
- In a comparison of AI image generators, Recraft V3 leads the market with the highest ELO rating on Hugging Face’s Benchmark, outperforming notable competitors like Midjourney and DALL·E in a variety of creative applications.
Hugging Face: An AI is Revolutionizing Photoshop and Canvas
In a comparison of AI image generators, Recraft V3 leads the market with the highest ELO rating on Hugging Face’s Benchmark, outperforming notable competitors like Midjourney and DALL·E in a variety of creative applications.
.AI DOMAIN
Golden .AI Domain Available
In recent years, the .AI domain name has emerged as one of the fastest appreciating digital assets. The .AI extension has gained global prominence due to its association with artificial intelligence.
Acquire a golden .AI domain for your next big adventure! A great domain name can give your new brand an advantage. Here are the Top Three .AI domains to consider:
- DiT.ai (Like Claude.ai and X.ai, DiT is the most famous model in AI world. Sora is based on DiT.)
- Medical.ai (Best for Medical AI industry)
- Retail.ai (Best for Retail AI industry)
QUICK HEATS
- Saudi Arabia plans to invest up to $100 billion in a new AI project called "Project Transcendence" to establish a technological hub.
- Apple is reportedly seeking Foxconn and Lenovo to manufacture AI servers using its Apple Silicon in Taiwan.
- Microsoft is integrating AI-powered features into Microsoft 365 subscriptions while discontinuing the separate Copilot Pro charge.
- The Chinese military is reportedly using Meta's open source AI model, Llama, for intelligence purposes.
- Anthropic partners with Palantir and AWS to provide U.S. defense agencies access to its Claude AI models.
AI TOOLS
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- 🖼️ ImgGen AI is a free AI image generator and enhancement tool.
- 🤝 TenderCrunch streamline the tender process and help businesses win more deals.
- 🔎 GPTZero is an advanced AI detection tool designed to bring transparency to AI content.
- 🔊 OneAudio unleashes all your ideas in one audio at a time.
- 🎧 Tad AI creates original songs with your choice of genres and moods using text prompts. (Featured)
- 📚 Heardly is the Fast Way to read Best Book. (Featured)
- 🦾 Bika.ai offers AI automation for your tasks. (Featured)
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What Is It Like to Talk to Your Future Self - Powered by MIT
“Future You,” a generative AI chatbot developed by researchers at the Massachusetts Institute of Technology (MIT). This AI platform enables users to engage in conversations with a simulated version of their potential future selves. We will explore the experience of interacting with the “Future You” AI.
Magna
Why Did OpenAI Spend $10 Million on a Domain Name?
In a surprising move, OpenAI has acquired the domain Chat.com, drawing attention from the tech world and prompting questions about the company’s plans. This acquisition is reportedly valued at over $10 million. Let’s explore the reasons behind this important purchase and consider its potential benefits and implications for OpenAI
Magna
Former OpenAI Employee Shares Insider Stories
Miles Brunch, The Prominent Researcher and Former Head of Policy Research at Openai recently interviewed, revealing his inside story of leaving OpenAI.
Magna
Hello, AI Enthusiasts!
Today, we're talking about the legendary John J. Hopfield and Geoffrey E. Hinton, whose groundbreaking work in neural networks has led to AI systems that can not only recognize your cat in a photo but also recommend you buy it a new scratching post on Amazon.
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NEW THINGS
New Nobel Prize Winners Used Physics to Train AI
The Royal Swedish Academy of Sciences awarded the Nobel Prize in Physics 2024 to John J. Hopfield from Princeton University, USA, and Geoffrey E. Hinton from the University of Toronto, Canada for their foundational discoveries and inventions that enable machine learning with artificial neural networks. Their work has significantly advanced the field of artificial intelligence by utilizing principles from physics to improve how machines learn and process information.
- John J. Hopfield was born in 1933 in Chicago, USA, and obtained his PhD from Cornell University. Geoffrey E. Hinton was born in 1947 in London, UK, and received his PhD from the University of Edinburgh.
- John Hopfield developed an associative memory network that can store and reconstruct images and patterns in data. This network uses physics principles akin to atomic spin, allowing for the methodical retrieval of stored images from distorted versions by lowering the network's energy.
- Building on Hopfield's work, Geoffrey Hinton introduced the Boltzmann machine, a network capable of autonomously learning to identify properties in data. Using tools from statistical physics, this machine can classify images or generate new patterns based on its training.
- The work of Hopfield and Hinton is pivotal in the field of machine learning, particularly in the development of artificial neural networks. Their contributions have benefited physics and various applications, including developing new materials with specific properties.
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NEW THINGS
Hugging Face’s New Rapid AI Web Apps Buider
Hugging Face introduced a new Python package, "OpenAI-Gradio," that allows developers to create AI-powered web applications easily and quickly with minimal coding. This innovation is set to transform how businesses of varying sizes develop and deploy AI technologies.
Hugging Face’s OpenAI-Gradio package enables developers to build AI-powered web apps by integrating OpenAI’s API with Gradio, requiring only a few lines of code to get started.
The tool eliminates traditional barriers like complex backend infrastructure, making AI development accessible to businesses of all sizes, from small startups to large enterprises.
Developers can easily tailor the AI interface to specific applications, allowing for customization in input and output formats to suit different business needs.
The package allows businesses to leverage AI rapidly and cost-effectively, meeting the growing demand for scalable AI tools across industries. It provides a practical approach for both startups and established companies to integrate AI into their operations.
OpenAI: Hugging Face’s New Rapid AI Web Apps Buider
Hugging Face’s OpenAI-Gradio package enables developers to build AI-powered web apps by integrating OpenAI’s API with Gradio, requiring only a few lines of code to get started.
Hugging Face’s New Rapid AI Web Apps Buider
Hugging Face introduced a new Python package, "OpenAI-Gradio," that allows developers to create AI-powered web applications easily and quickly with minimal coding. This innovation is set to transform how businesses of varying sizes develop and deploy AI technologies.
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QUICK HEATS
- A new study finds that Americans are adopting generative AI faster than personal computers and the internet, potentially boosting productivity growth.
- British Mountain Rescue workers developed drone software to locate missing people more effectively than traditional search efforts.
- OpenAI is opening a second Asia office in Singapore by the end of the year to meet growing AI tool demand.
- OpenAI and Hearst have entered a deal to integrate Hearst's magazine and newspaper content into ChatGPT.
- Vodafone and Google are working together to improve AI services for customers in Europe and Africa.
AI TOOLS
- ✂ Wisecut automatically cut and edit videos with AI.
- ✂️ Foto AI swiftly removes and replaces image backgrounds.
- 🎥 lipsyncer.ai creates AI-generated lip sync videos.
- 🗪 Notionsmith creates UX personas and enables interactive conversations.
- 📈 LinkDR automates SEO enhancement through link building.
- 🔀 ChatHub enhances your AI chatbot experience by using multiple AIs at once. (Featured)
- 🗺️ MapsScraperAI gathers business data from Google Maps to enhance lead generation and market research. (Featured)
- 📧 MyEmailExtractor extracts emails from websites with AI. (Featured)
- 🚀 InstaHunter grows your Instagram faster with AI. (Featured)
1 Million+ AI enthusiasts are eager to learn about your product.
AI Secret is the world’s #1 AI Newsletter, boasting over 1 million readers from leading companies such as OpenAI, Google, Meta, and Microsoft. We've assisted in promoting Over 500 AI-Related Products. Will yours be the next?
What We Can Offer:
- Launch an Advertising Campaign
- Introduce New Product or Features
- Other Business Cooperation
Email our co-founder Mark directly at [email protected] if the button fails.
6 min read
🛎️ Hugging Face Is Selling For $13B
Plus: The Frontier Era Just Ended, Twitch Said the Quiet Part Out Loud
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🛎️ Altman Marched GPT-6 to Washington
Plus: The Agent Army Is a Sales Pitch, Anthropic Leaked the Same Way Twice
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🛎️ End of Vending
Plus: Bank Bans Hugging Face, Rules Without Rulers
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DeepSeek Launches Janus-Pro-7B: The New King of AI Image Generation?
The AI world has been shaken, stirred, and flipped upside down with the launch of DeepSeek's latest multimodal AI model, the Janus-Pro-7B. This 7-billion-parameter
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Jeff Bezos’s Super Brain
Daily News
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An AI is Revolutionizing Photoshop and Canvas
The speed of innovation in artificial intelligence is surpassing Moore's Law. A new AI product has emerged as a game-changing tool for generating images,
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Physics Meets AI: Nobel 2024
Daily News
