Yann LeCun - AI at Meta

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LeCun is a significant figure in AI safety discourse as a high-profile dissenter from existential risk narratives; his views represent an important counterpoint in debates about AI danger and regulation that wiki users should be aware of.

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Summary

Official profile page for Yann LeCun, Chief AI Scientist at Meta and pioneer of deep learning, particularly convolutional neural networks. LeCun is a prominent skeptic of mainstream AI existential risk arguments and advocates for open-source AI development. He is a key figure in debates about AI safety and the trajectory of AI capabilities.

Key Points

•Yann LeCun is Chief AI Scientist at Meta and Turing Award winner (2018) for foundational contributions to deep learning
•Known for skepticism toward AGI existential risk narratives and criticism of closed AI development models
•Advocates for open-source AI as a safer and more democratizing approach than proprietary systems
•Pioneer of convolutional neural networks (CNNs), foundational to modern computer vision and AI capabilities
•Influential voice in AI policy and safety debates, often opposing dominant safety-focused perspectives from OpenAI and DeepMind

2 FactBase facts citing this source

Entity	Property	Value	As Of
Yann LeCun	Role / Title	Chief AI Scientist	2018
Yann LeCun	Employed By	tt0f5PYDCw	Dec 2013

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Yann LeCun - AI at Meta 
 
 
 
 
 
 
 
 
 
 

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 Yann LeCun

 CHIEF AI SCIENTIST | NEW YORK CITY, UNITED STATES

 Yann is Chief AI Scientist for Facebook AI Research (FAIR), joining Facebook in December 2013. He is also a Silver Professor at New York University on a part time basis, mainly affiliated with the NYU Center for Data Science, and the Courant Institute of Mathematical Sciences.

 

 He received the EE Diploma from Ecole Supérieure d’Ingénieurs en Electrotechnique et Electronique (ESIEE Paris), and a PhD in CS from Université Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he was the founding director of the NYU Center for Data Science. Yann is the co-director of the CIFAR program on Neural Computation and Adaptive Perception Program with Yoshua Bengio.

 

 He is a member of the US National Academy of Engineering, a Chevalier de la Légion d’Honneur, a fellow of AAAI, the recipient of the 2014 IEEE Neural Network Pioneer Award, the 2015 IEEE Pattern Analysis and Machine Intelligence Distinguished Researcher Award, the 2016 Lovie Award for Lifetime Achievement, the University of Pennsylvania Pender Award, and received honorary doctorates from IPN, Mexico and EPFL.

 

 He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for "conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing."

 

 His research interests include machine learning and artificial intelligence, with applications to computer vision, natural language understanding, robotics, and computational neuroscience. He is best known for his work in deep learning and the invention of the convolutional network method which is widely used for image, video and speech recognition.

 Personal Website

 Google Scholar

 Research Areas

 Computer Vision

 Conversational AI

 Core Machine Learning

 Human & Machine Intelligence

 Natural Language Processing (NLP)

 Reinforcement Learning

 Robotics

 Speech & Audio

 Yann's Publications

 June 11, 2025

 ROBOTICS

 RESEARCH

 V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

 Mido Assran , Adrien Bardes , David Fan , Quentin Garrido , Russell Howes , Mojtaba Komeili , Matthew Muckley , Ammar Rizvi , Claire Roberts , Koustuv Sinha , Artem Zholus , Sergio Arnaud , Abha Gejji , Ada Martin , Francois Robert Hogan , Daniel Dugas , Piotr Bojanowski , Vasil Khalidov , Patrick Labatut , Francisco Massa , Marc Szafraniec , Kapil Krishnakumar , Yong Li , Xiaodong Ma , Sarath Chandar , Franziska Meier , Yann LeCun , Michael Rabbat , Nicolas Ba

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