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
39 articles name Yann LeCun, excluding author credits.
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- Sakana AI's PC-ALM: Training Deep Nets Without Backpropagation →
Sakana AI's PC-ALM generalizes predictive coding with an augmented Lagrangian, letting local "dual neurons" replace backprop's global credit signal — and reportedly scales to networks 1000 layers deep. Here's the mechanism, the 1988 LeCun paper it revives, and why it matters beyond neuroscience trivia.
- Is "Pacing the Frontier" Really About Safety — Or a Plateau in Disguise? →
Three frontier labs published safety-pacing documents within two weeks of each other in September 2026. The official story is caution winning out over speed. A less flattering explanation fits the same facts just as well — pretraining data is running out, public launches are throttled versions of internal demos, and Anthropic needs a clean investor story for its IPO. This is opinion and pattern-matching, not a leaked memo — here's what's verifiable and what's speculation.
- Sam Altman: OpenAI Now Writes Safety Cases Before Big RL Runs →
In a September 14, 2026 post on X, Sam Altman said OpenAI now writes explicit "safety cases" in advance of frontier reinforcement learning runs expected to significantly increase capability — moving beyond Preparedness Frameworks that governed only finished-model deployment. He welcomed a federal framework and independent auditors but said labs shouldn't wait for legislation to start.
- Yann LeCun Revives the 2019 GPT-2 Mockery — and the Staged-Release Nuance →
On September 14, 2026, Yann LeCun replied to a Pessimists Archive thread that replayed Dario Amodei's 2019 Guardian interview about GPT-2 being too dangerous to open-source all at once. LeCun said he made fun of the claim then and everyone should make fun of it now — while Seth Bannon and others pushed back that OpenAI always planned a staged release, not a forever withhold.