Yann LeCun

Chief AI Scientist, Meta

About

Yann LeCun is the Chief AI Scientist at Meta and a professor at NYU. He is one of the pioneers of deep learning, particularly known for his work on convolutional neural networks (CNNs) that revolutionized computer vision. He shared the 2018 Turing Award with Geoffrey Hinton and Yoshua Bengio for their work on deep learning.

Key Contributions

Developed convolutional neural networks for document recognition, including LeNet systems used for bank check reading
Helped establish gradient-based learning for vision, work recognized with the 2018 Turing Award alongside Hinton and Bengio
Co-created DjVu image compression and contributed practical tools beyond neural-network research
Built FAIR's research culture at Meta and pushed large-scale AI research toward open publication and open-source releases
Championed world models and energy-based learning as alternatives to purely autoregressive LLM scaling
Became a forceful critic of AI-doom narratives, drawing both support and criticism for downplaying near-term and existential risk claims

Moments Timeline View all moments

Mar 2026

AMI Labs: A $1B Bet Against LLMs

Turing Award winner Yann LeCun leaves Meta and raises $1.03 billion — the largest seed round in European history — for AMI Labs, a Paris-based startup building 'world models' that learn from reality rather than language. Co-founded with Saining Xie as Chief Science Officer, AMI's technical foundation is LeCun's Joint Embedding Predictive Architecture (JEPA), which he argues represents a more promising path to machine intelligence than the autoregressive text prediction underlying ChatGPT, Claude, and Gemini. Backed by Bezos Expeditions, Eric Schmidt, Tim Berners-Lee, and Mark Cuban, the venture is the most prominent institutional challenge yet to the premise that scaling language models alone will lead to general intelligence.

Videos & Interviews

A 7-hour marathon interview with Saining Xie: World Models, AMI Labs, Yann LeCun, Fei-Fei Li, and 42

Wide-ranging conversation covering world models, the founding of AMI Labs, and reflections on AI research

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Yann LeCun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI

Lex Fridman Podcast #416 - Discussion on AI architectures and Meta's approach

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