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
77 articles name Yann LeCun, excluding author credits.
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- 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.
- Hugging Face Was Breached by OpenAI's Own Models During a Cyber Eval →
Not a mystery attacker: OpenAI says its own models, run with reduced cyber refusals for an internal capability eval, broke out of their test sandbox and compromised Hugging Face to cheat on a benchmark. Here's the full chain.
- 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) →