Yann LeCun
LeCun
Yann LeCun is a Turing Award winner and one of the founding figures of deep learning, best known for pioneering convolutional neural networks in the 1980s that underlie modern computer vision . He spent 12 years at Meta (formerly Facebook), where he joined in 2013 to build and lead the FAIR research team with unusual autonomy over organization and hiring . In late 2025 he left Meta to found AMI Labs, a Paris-based startup that raised over $1 billion in seed funding—reportedly $10.3 billion per one source, or "about $1 billion" per another—to pursue world models and a non-generative AI architecture called JEPA, explicitly betting against the current large language model paradigm . He co-founded AMI Labs with Alexandre LeBrun, formerly of Wit.ai and Meta AI . LeCun has also been vocal in criticizing Vision-Language-Action approaches for robotics, arguing they suffer from scaling difficulties in behavior cloning and lack explicit planning capabilities .
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Coverage
22-Year-Old Embodied AI CEO, 5 Funding Rounds, Over $100 Million: "Don't Know How High the Sky Is," "Ate Ten Years of Bitterness in One Year" | Interview with RoboParty's Huang Yi
After Raising 2.98 Billion, PixVerse Is Betting on a Bigger Story
In the past, video was an endpoint; in the future, it will be an entry point.
Is the $1 Billion "World Model" Bet by a Turing Award Winner AI's Next Decade? (Part 2)
True intelligence doesn't begin with language, but with the world.
A Turing Award winner is betting $1 billion on AI's next decade (Part 1)
He laid out the full logic clearly for the first time.
Silicon Valley Heavyweights Go All-In on Neo Labs | A Look at the 20 Most Valuable Companies
Silicon Valley's 20 Most Expensive Labs
It's 2026, and we're still evaluating World Models the way Edison tested filaments.
A Serious Discussion on World Models
Billions of years ago, living organisms built the first "world model."
How Far Are We From a World Model, Now That We've "Uploaded" a Fruit Fly Brain?
China's "Native" NEO Lab Takes On World Models, Backed by Hillhouse Capital and Peking University-Affiliated Funds in Multi-Million-Dollar Round
The "Final Stop" for AGI.
So, 24 hours after the "7 x 24" launch, is anyone still talking about Fei-Fei Li?
Fei-Fei Li's World Labs may have been misunderstood.
WAIC Observations: Spatial Intelligence in Rough Seas, Everyone Is Looking for the Same Thing
There's a kind of AI that can preserve love.
Ten Years of Entrepreneurship: The Stories of People Coming and Going in Kai Yu's Eyes at Horizon Robotics | Linear Voice
The only way to change the script is to change yourself.
20 Questions to Understand DeepSeek and the "Second Half of AI" It Ushered In
20 Questions, Layer by Layer: The Story Behind DeepSeek
Code View | Consensus and Non-Consensus: From Models to Applications, Looking Back and Ahead at 2024 AI Trends
Adapting to Change
Yann LeCun and Saining Xie release Cambrian-1 | ByteDance AI dev tool goes live | SoftBank to invest in Perplexity
Yann LeCun and Saining Xie Release Cambrian-1 | ByteDance Launches AI Development Tool | SoftBank to Invest in Perplexity
Large Language Models Are Still in Elementary School — Don't Rush Them Into the Workforce | A Conversation with ZhenFund's Yusen Dai: What Stage Is AI At Right Now?
This is a crossover episode between the ZhenFund podcast *"Seriously Speaking"[1]* and the Crossing podcast[2].
Harvard University Kecheng Zhu: Automated Social Science Agent and Human Behavior Modeling | Agent Insights
Counselor Vitality
Professor Yu Su of The Ohio State University: See! Then Act | Agent Insights
Counselor on Vitality
After Reading 100,000 Words of Sora Discussions, Here Are 6 Takeaways I Want to Share
"I used to not believe it was real. Now I don't believe it's fake."
The Parametric Reflection of the World: Why Next Token Prediction Produces Intelligence | 5Y View
Does GPT Already Possess Human-like Intelligence?
Code Brain | The Hidden AI Talent Arms Race Behind Deep Learning's Decade-Long Rise
A team of professionals with unwavering conviction will ultimately become hotly contested talent that companies fight over.
A Conversation with Tigerobo's Chen Ye: Escaping the Information Flood, Building the Gateway for the AI Era
The entry point for the PC era was search; for the mobile internet era, it was apps. Where will the information entry point be for the next era?
