Read Online | Sign Up | Advertise | | | Good morning, AI enthusiasts. Few people in AI have been louder about LLMs being a dead end than Yann LeCun. Even fewer have a Turing Award and a billion dollars to do something about it. | His new Advanced Machine Intelligence just launched with over $1B in funding to build what he believes LLMs never can: AI that actually understands the real world. | | In today's AI rundown: | LeCun's anti-LLM startup opens with $1B Meta acquires AI agent social media platform Replicate ChatGPT Pulse on the $20 plan Murati lands Nvidia deal for Thinking Machines 4 new AI tools, community workflows, and more
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| | | | AMI LABS | |  | Image source: Advanced Machine Intelligence |
| The Rundown: Ex-Meta Chief Scientist Yann LeCun's Advanced Machine Intelligence just emerged with a $1.03B seed round, with the Turing Award winner betting on a world model approach to AI over the LLM approach he's been railing against for years. | The details: | LeCun left Meta in November after 12 years with FAIR, telling Mark Zuckerberg he could build world models "faster, cheaper, and better" on his own. AMI's systems hope to simulate how the physical world works with persistent memory, targeting manufacturing, robotics, wearables, healthcare, and more. The round values the company at $3.5B, with Nvidia, Samsung, Bezos Expeditions, Eric Schmidt, and Mark Cuban among the backers. LeCun chose Paris for AMI's headquarters, calling Silicon Valley 'LLM-pilled' —with additional hubs in New York, Montreal, and Singapore.
| Why it matters: That is quite the seed round, and LeCun has quickly landed on his feet after leaving the FAIR research team he called home for over a decade. The outspoken research scientist has gone against the LLM flow throughout the AI boom. Now, he finally has a major war chest and the freedom to work on his vision of world models. |
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| | TOGETHER WITH LAMBDA | | | The Rundown: Most large-scale AI training runs use less than half the computing power they're paying for. Lambda's team found the root causes and built a reproducible framework that boosted efficiency by over 25%—without changing the model itself. | Lambda's whitepaper shows you how to address: | Memory inefficiencies silently inflating your costs Training configurations that aren't making full use of your hardware Bottlenecks that slow down GPU communication
| Get the guide. |
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| | META | |  | Image source: Moltbook |
| The Rundown: Meta acqui-hired the creators of Moltbook, the viral vibe-coded social forum for AI agents that went viral alongside OpenClaw — folding the duo into its Superintelligence Labs team, weeks after OpenAI hired OpenClaw's Peter Steinberger. | The details: | Co-creator Matt Schlicht launched Moltbook in late January as a weekend project, building most of it with his OpenClaw bot named 'Clawd Clawderberg'. Mark Zuckerberg had reportedly tried OpenClaw and courted Steinberger first, but lost out after the developer joined OpenAI in February. The platform has 2.8M registered bots with nearly 200K verified to real people, forming what Meta calls an 'always-on directory' for agent coordination. Posts about bot religions and anti-human manifestos went viral, though researchers found security holes that let humans easily pose as agents.
| Why it matters: Meta's feeds are already filling up with AI creators and bot content, but it's been a messy, backlash-heavy rollout. Moltbook offers something different — a verified agent layer where bots operate in the open, not disguised as humans. How Zuck and co. incorporate the concept will be an interesting angle to watch. |
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| | AI TRAINING | | | The Rundown: In this guide, you will learn how to replicate ChatGPT Pulse (from the $200 Pro plan) on your $20 Plus plan, as well as discover how to use the lesser-known ChatGPT feature. | Step-by-step: | Pulse proactively messages you each day with news and suggestions based on your chat history. ChatGPT also has a feature called "tasks" Open ChatGPT on the web, desktop, or mobile and prompt: "Create a daily, recurring task that briefs me on the daily stock market moves at 5 PM" To edit/delete tasks, go to Settings > Notifications > Tasks > Manage Tasks. Turn on push notifications for tasks and for the app on your phone You should start getting daily, recurring briefs in the chat where you set up the task
| Pro tip: You can have up to 10 active tasks at once, so we recommend setting up briefs on multiple topics or recurring tasks on connected services like Gmail or your Calendar. |
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| | THINKING MACHINES & NVIDIA | |  | Image source: Thinking Machines |
| The Rundown: Mira Murati's Thinking Machines Labs just secured a multiyear deal with Nvidia for at least a gigawatt of compute, giving the former OpenAI exec's year-old startup the kind of AI infrastructure typically reserved for the largest labs. | The details: | Murati was OpenAI's CTO and briefly its interim CEO before leaving to found Thinking Machines, which pulled in $2B in funding at a $10B valuation last year. The multiyear deal puts at least a GW of Nvidia's next-gen Vera Rubin systems behind TML's frontier model training, with deployment targeted for early 2027. Nvidia also added undisclosed new capital on top of its existing stake from the $2B seed round, though neither company shared the size. TML has one product live, Tinker, a fine-tuning API for enterprises, but the gigawatt commitment signals a move toward creating their own models.
| Why it matters: The exodus of TML employees and co-founders moving back to OpenAI in January looked like a death blow for a startup that had made little noise since launching. But this Nvidia partnership is a loud response and a clear sign that Murati has bigger ambitions — regardless of who is sticking around with her. |
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| | | | | 🤖 Thenvoi - Connect any agent, any framework with a powerful multi-peer agentic communication mesh* ⚙️ Code Review - Anthropic's multi-agent PR review system for Claude Code 🧠 Gemini Embedding 2 - Google's AI to search across text, images, video, audio 💻 Interactive Learning - ChatGPT's visual math and science modules
| *Sponsored Listing |
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| | | Google released Gemini Embedding 2 in public preview, its first AI model that can understand and search across text, images, video, and audio in a single system. | OpenAI introduced interactive visual modules to ChatGPT for 70+ math and science concepts, letting users tweak variables and watch formulas respond in real time. | Hume AI opened TADA, a speech generation AI that locks text & audio in sync to cut hallucinations, coming in 5x faster than rivals and light enough for on-device use. | Google upgraded Gemini across its productivity suite with the ability to draft docs, build sheets, and create presentations by pulling context from files, inbox, and the web. | Amazon secured a preliminary injunction against Perplexity's Comet browser, barring the AI agent from buying products through Amazon accounts on behalf of users. | Nvidia is preparing to launch NemoClaw, an open platform for enterprises to run AI agents across any hardware, with early pitches out to Salesforce, Google, and others. |
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| | | | | Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier. | Today's workflow comes from reader Sahar R. in St. Louis, MO: | "I'm a philosophy professor, and I integrated AI in nearly every step of generating a new course (Business Ethics) — from finding real-world cases posted about on credible news outlets, open-access case law, open educational resources as class materials, designing discussion board questions, building fair rubrics, and interactive in-class activities for the students. | Augmenting my course development with AI enhanced my course, the student experience, my effort and time, and my work became fun again." | How do you use AI? Tell us here. |
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| | | | That's it for today!Before you go we'd love to know what you thought of today's newsletter to help us improve The Rundown experience for you. | | See you soon, | Rowan, Joey, Zach, Shubham, and Jennifer—the humans behind The Rundown | |
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