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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- OpenAI Safety Lead David Robinson Quits: "Its Culture Is Broken" →
David Robinson led the writing of the safety reports that shipped with OpenAI releases. On October 3, 2026 he resigned in The Atlantic, arguing the problem is culture, not rules. Here is what he claimed, how OpenAI and Hacker News responded, and what it means for anyone building on agents.
- Vercel Confirms a KVM Zero-Day VM Escape: What It Means for Agent Sandboxes →
On October 3, 2026, researcher Paulos Yibelo announced a full guest-to-host VM escape in KVM, and Vercel CEO Guillermo Rauch confirmed it through the Vercel Sandbox bounty program. There is no CVE, patch, or write-up yet. Here is what is verified, what is guesswork, and how to design agent sandboxes that survive a hypervisor bug.
- What Is the Turing Test? The Imitation Game, Explained for the AI Era →
Alan Turing proposed the imitation game in 1950 as a replacement for the question "can machines think?" This explainer covers the original rules, the often-misquoted 30% prediction, what ELIZA, Eugene Goostman and GPT-4.5 actually showed, why philosophers object, and how to judge AI today.
- White House AI Task Force Gets 120 Days, and Bessent Tells AI CEOs to "Slow Down" →
Two US government signals landed within days. A new White House task force, reportedly chaired by Jay Clayton, has 120 days to map AI risks and the federal role. Separately, Treasury Secretary Scott Bessent told The Axios Show that AI CEOs calling for slower development "should slow down." Here is what is reported, what is not, and how to plan around it.
- LeCun Has "Zero Concerns" About Rogue AI. His Real Point Is About Sandboxes →