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
78 articles name Yann LeCun, excluding author credits.
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- Michael I. Jordan Calls AI Doom a "Grand Moralizing Performance": What He Said and What Is Contested →
In an interview with Libération, machine learning pioneer Michael I. Jordan dismissed superintelligence talk as science fiction, called safety resignations a performance and questioned the trillion-dollar data center bet. We lay out his claims, the context, and where the evidence cuts the other way.
- Natura-1: A 50B Model Teaching Dexterous Robot Hands From 1M Hours of Human Video →
Nature Will introduced Natura-1 on October 13, 2026: a 50-billion-parameter mixture-of-experts model pretrained on one million hours of egocentric human video that follows language instructions zero-shot and drives 20-DoF dexterous hands in a 100 ms control loop. Here is what the company reports, how its benchmark was built, and what is still unverified.
- Pi API Beta: Physical Intelligence Lets Any Robot Team Fine-Tune Its Frontier Models →
On October 13, 2026 Physical Intelligence announced the Pi API beta: upload demonstrations, launch fine-tuning on compute it manages, and run the resulting model through a hosted gateway. Here is how the workflow works, who already used it, and the open questions about price, latency and access.
- David Silver Explains Ineffable: An RL "Superlearner" as the Alternative to LLMs →
In a Financial Times interview on October 12, 2026, ex-DeepMind scientist David Silver described Ineffable Intelligence, his startup building an AI superlearner that learns from experience with reinforcement learning rather than from human text. Here is the thesis, its roots in the Era of Experience paper, and what is and is not confirmed.