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 latest Advanced Machine Intelligence just launched with over $1B in funding to construct what he believes LLMs never can: AI that really understands the true 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 Considering Machines
-
4 latest AI tools, community workflows, and more
LATEST DEVELOPMENTS
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 main points:
-
LeCun left Meta in November after 12 years with FAIR, telling Mark Zuckerberg he could construct world models “faster, cheaper, and higher” 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 corporate at $3.5B, with Nvidia, Samsung, Bezos Expeditions, Eric Schmidt, and Mark Cuban among the many backers.
-
LeCun selected Paris for AMI’s headquarters, calling Silicon Valley ‘LLM-pilled’ —with additional hubs in Recent York, Montreal, and Singapore.
Why it matters: That is kind of 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 significant war chest and the liberty to work on his vision of world models.
TOGETHER WITH LAMBDA
The Rundown: Most large-scale AI training runs use lower than half the computing power they’re paying for. Lambda’s team found the foundation causes and built a reproducible framework that boosted efficiency by over 25%—without changing the model itself.
Lambda’s whitepaper shows you the way to address:
-
Memory inefficiencies silently inflating your costs
-
Training configurations that are not making full use of your hardware
-
Bottlenecks that decelerate GPU communication
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 main points:
-
Co-creator Matt Schlicht launched Moltbook in late January as a weekend project, constructing most of it together 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 permit humans easily pose as agents.
Why it matters: Meta’s feeds are already filling up with AI creators and bot content, but it surely’s been a messy, backlash-heavy rollout. Moltbook offers something different — a verified agent layer where bots operate within the open, not disguised as humans. How Zuck and co. incorporate the concept might be an interesting angle to look at.
AI TRAINING
The Rundown: On this guide, you’ll learn the way to replicate ChatGPT Pulse (from the $200 Pro plan) in your $20 Plus plan, in addition to discover the way to use the lesser-known ChatGPT feature.
Step-by-step:
-
Pulse proactively messages you every day with news and suggestions based in your chat history. ChatGPT also has a feature called “tasks”
-
Open ChatGPT on the internet, desktop, or mobile and prompt: “Create a every day, recurring task that briefs me on the every day stock market moves at 5 PM”
-
To edit/delete tasks, go to Settings > Notifications > Tasks > Manage Tasks. Activate push notifications for tasks and for the app in your phone
-
You must start getting every day, recurring briefs within the chat where you arrange the duty
Pro tip: You possibly can have as much as 10 energetic tasks directly, so we recommend establishing briefs on multiple topics or recurring tasks on connected services like Gmail or your Calendar.
PRESENTED BY UNWRAP
The Rundown: Unwrap’s customer intelligence platform brings all of your customer feedback (surveys, reviews, support tickets, social comments, etc.) right into a single view, then uses AI + NLP to surface probably the most actionable insights and deliver them straight to your inbox.
With Unwrap, you get:
-
A transparent, single view of customer sentiment
-
The flexibility to ask questions on your feedback using natural language with Assistant
-
Real-time alerts out of your feedback as they arise
-
Tools trusted at scale by Oura, Stripe, Clay, DoorDash, lululemon, Southwest Airlines, and others
Exclusive for The Rundown subscribers, connect with Unwrap for a free trial.
THINKING MACHINES & NVIDIA
Image source: Considering Machines
The Rundown: Mira Murati’s Considering Machines Labs just secured a multiyear cope with Nvidia for at the very least a gigawatt of compute, giving the previous OpenAI exec’s year-old startup the sort of AI infrastructure typically reserved for the most important labs.
The main points:
-
Murati was OpenAI’s CTO and briefly its interim CEO before leaving to found Considering Machines, which pulled in $2B in funding at a $10B valuation last yr.
-
The multiyear deal puts at the very 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 latest capital on top of its existing stake from the $2B seed round, though neither company shared the dimensions.
-
TML has one product live, Tinker, a fine-tuning API for enterprises, however the gigawatt commitment signals a move toward creating their very 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 transparent sign that Murati has greater ambitions — no matter who’s sticking around together with her.
QUICK HITS
-
🤖 Thenvoi – Connect any agent, any framework with a robust multi-peer agentic communication mesh*
-
⚙️ Code Review – Anthropic’s multi-agent PR review system for Claude Code
-
🧠 Gemini Embedding 2 – Google’s AI to go looking across text, images, video, audio
-
💻 Interactive Learning – ChatGPT’s visual math and science modules
Google released Gemini Embedding 2 in public preview, its first AI model that may 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 chop hallucinations, coming in 5x faster than rivals and light-weight enough for on-device use.
Google upgraded Gemini across its productivity suite with the flexibility to draft docs, construct sheets, and create presentations by pulling context from files, inbox, and the online.
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.
COMMUNITY
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 brand 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, constructing fair rubrics, and interactive in-class activities for the scholars.
Augmenting my course development with AI enhanced my course, the coed experience, my time and effort, and my work became fun again.”
How do you employ AI? Tell us here.
-
Read our last AI newsletter: Anthropic takes U.S. government to court
-
Read our last Tech newsletter: Air taxis to fly in 26 states
-
Read our last Robotics newsletter: DJI pays $30K for robot vacuum hack
-
Today’s AI tool guide: Replicate ChatGPT Pulse on the $20 plan
-
RSVP to our next workshop Thursday @ 2PM EST: AI coding bootcamp pt. 1
That is it for today!
- ⭐️⭐️⭐️⭐️⭐️ Nailed it
- ⭐️⭐️⭐️ Average
- ⭐️ Fail
Login or Subscribe to participate
See you soon,
