Executive chairman of AMI Labs and professor at NYU
Yann LeCun
Yann LeCun is executive chairman of AMI Labs and a professor at NYU whose research spans neural networks, computer vision, and world models.
About Yann LeCun
Yann LeCun is executive chairman of Advanced Machine Intelligence Labs and the Jacob T. Schwartz Professor at New York University. His current research interests include machine learning, perception, robotics, and world models that represent how environments behave.
He previously founded and directed Meta's FAIR research organization and served as Meta's chief AI scientist through 2025. His work helped develop convolutional neural networks and their use in visual recognition. He shared the 2018 ACM A.M. Turing Award with Geoffrey Hinton and Yoshua Bengio.
Mentioned in our coverage
60 articles name Yann LeCun, excluding author credits.
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- Richard Sutton’s Oak Lab — New Algorithms for AGI Beyond Static LLM Training →
The father of reinforcement learning left John Carmack's Keen to launch Oak Lab — algorithms that learn from runtime experience, not curated datasets. Sutton's OaK architecture targets continual world models and 20W planning. explainx.ai explains the AGI neolab wave and the Bitter Lesson tension.
- We Must Act Now — 200+ Economists Warn on AI Job Displacement →
An 88-word open letter from Stanford's Digital Economy Lab landed July 13 with 16 Nobel laureates and lab leaders from Google, Anthropic, and OpenAI — calling for guardrails before large-scale job displacement. explainx.ai unpacks who signed, what it demands, and what it leaves out.
- Xiaomi-Robotics-U0 — 38B World Model That Boosts π₀.₅ OOD Success to 63% →
Xiaomi's 38B autoregressive world foundation model keeps general T2I and editing in the training mix while learning multi-view robot scene synthesis. Synthetic embodied transfer data nearly doubles π₀.₅ out-of-distribution success on real manipulation tasks. explainx.ai breaks down tasks, architecture, and limits.
- Thinking Machines Lab: The Future Worth Building Is Human — Manifesto Explained →
Thinking Machines Lab published "The Future Worth Building Is Human" — AI that extends human will and judgment, not replaces it. Tinker, interaction models, and decentralized alignment vs the autonomy race.
- 1X NEO Hands: 25-DoF Tendon Drive, Force Transparency, and 10K Units in 2026 →
1X calls NEO's new hands "an API to the physical world" — 25 force-controlled DoF, quasi-direct-drive tendons, tactile shear sensing, and a 10K/year production line. explainx.ai breaks down the July 9 launch with hosted demo clips.