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
40 articles name Yann LeCun, excluding author credits.
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- LeVJEPA: Video Pretraining at 20× Less Compute Than V-JEPA 2 →
Lukas Kuhn et al. posted LeVJEPA (arXiv:2608.27395): video representation learning without EMA targets, stop-gradients, or pixel decoders. At ViT-S it uses up to 20.8× less compute than V-JEPA 2 at matched epochs — relevant for robotics and world-model builders.
- Paul Graham at 17: Build an LLM From Scratch, Not a Startup →
On August 23, 2026, Paul Graham told a hypothetical 17-year-old to learn how to build LLMs from scratch with whatever hardware they can get — and explicitly not to start a startup yet. Yann LeCun replied August 24 with a competing answer: study why LLMs write essays but cannot clean bedrooms, and pursue architectures beyond token predictors. explainx.ai maps both takes for builders.
- GEN-1.5: Generalist AI's Robot Foundation Model Learns From One Demo →
Generalist AI released GEN-1.5 in August 2026, a robot foundation model that learns dexterous manipulation from a single demonstration inserted into its context window — no gradient updates, no task-specific retraining. explainx.ai unpacks physical prompting, the benchmark numbers, and what it means next to DYNA-2 and the broader robot-data race.
- Google DeepMind and EVE Online: A Living Lab for Long-Horizon AI →
Google DeepMind and Fenris Creations are turning the EVE Universe into a staged AI research environment. The ambition is large, but the first boundary matters most: experiments begin in an offline instance, away from live EVE Online players.
- YC Paper Club: Why Robotics Still Isn't Solved (But Could Be Soon) →