Dr. Yann LeCun
Chief AI Scientist
Sources checkedChief AI Scientist at Meta and Silver Professor of Computer Science at NYU Courant Institute. ACM A.M. Turing Award laureate (2018) for breakthrough contributions to deep learning and convolutional neural networks. Founding director of FAIR (Fundamental AI Research). Champion of open-source AI and the Joint Embedding Predictive Architecture (JEPA).
Areas of focus
Professional niches
Proof of Work
A Path Towards Autonomous Machine Intelligence (JEPA Architecture Framework)
Published the comprehensive theoretical blueprint proposing Joint Embedding Predictive Architecture (JEPA) as an alternative to generative pixel-level or token-level prediction, learning representations in abstract embedding space to enable hierarchical planning.
Action-conditional latent dynamics models remain active research topics; translating abstract latent representations back into fine-grained execution paths requires auxiliary decoding heads.
Context: Self-supervised non-contrastive energy-based models; architectural basis for I-JEPA (vision) and V-JEPA (video).
View missionV-JEPA: Self-Supervised Video Representation Learning by Joint Embedding Prediction
Co-authored the implementation and empirical validation of V-JEPA, training Vision Transformers on masked spatiotemporal video tubes using feature-space prediction without pixel reconstruction or data augmentation, achieving superior efficiency on downstream motion and action classification.
Requires extensive video pre-training compute (hundreds of GPU-days); does not directly produce human-interpretable generative video frames.
Context: Vision Transformer (ViT-H/16) trained on 2M video clips using 3D masking strategies and EMA target encoder.
View mission