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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- DARPA Flies an AI-Controlled F-16 — What VENOM Actually Proved →
DARPA and the US Air Force flew standard F-16s under AI control at Eglin Air Force Base using the VENOM Autonomy Kit — a flip-a-switch toggle between human and machine flight, not an unmanned jet. Here's what the AIR program actually validated, and what the human-on-the-loop safety debate misses.
- FLUX 3: Black Forest Labs Unifies Video, Audio, and Robot Action →
Black Forest Labs announced FLUX 3 on July 23, 2026 — a multimodal model jointly trained on images, video, audio, and action prediction. Its robotics offshoot, FLUX-mimic, is already being tested inside Audi factories. Here's the actual bet behind the announcement, what's shipping today versus later, and how to read BFL's own preliminary benchmark numbers.
- Xiaomi-Robotics-1: 100K Hours UMI Pre-Training for Robot VLAs →
Xiaomi's robot foundation VLA breaks the teleop data wall with handheld UMI grippers, VLM auto-labels for state transitions, then embodiment + instruction alignment. Real-robot success scales with pre-train data; code/weights TBA.
- AI Mania Is Eviscerating Decision-Making — Ludicity's Hermit Tech Essay Decoded →
A July 18 essay from Ludicity — sales lead at Hermit Tech consulting — went viral on Hacker News with a blunt claim: every enterprise AI project the author has observed failed. explainx.ai unpacks the coordination problem, the HN pushback, and where individual tool use diverges from org-wide "AI projects."
- LingBot-Map: Streaming 3D Reconstruction at 20 FPS — Robbyant GCT Guide (2026) →