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Source: Yann LeCun will continue to work at Meta as chief scientist of the AI research group FAIR and will report to Alexandr Wang (Kurt Wagner/Bloomberg)
https://www.bloomberg.com/news/articles/2025-07-25/meta-says-open-ai…

Meta Says Open AI Hire is Superintelligence Group Chief Scientist
Mark Zuckerberg has named Shengjia Zhao, an artificial intelligence researcher who joined Meta Platforms Inc. from OpenAI in June, as the chief scientist for the social media company’s new superintelligence AI group.

Whole-Body Conditioned Egocentric Video Prediction
Yutong Bai, Danny Tran, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik
https://arxiv.org/abs/2506.21552

Whole-Body Conditioned Egocentric Video Prediction
We train models to Predict Ego-centric Video from human Actions (PEVA), given the past video and an action represented by the relative 3D body pose. By conditioning on kinematic pose trajectories, structured by the joint hierarchy of the body, our model learns to simulate how physical human actions shape the environment from a first-person point of view. We train an auto-regressive conditional diffusion transformer on Nymeria, a large-scale dataset of real-world egocentric video and body pose c…

Back to the Features: DINO as a Foundation for Video World Models
Federico Baldassarre, Marc Szafraniec, Basile Terver, Vasil Khalidov, Francisco Massa, Yann LeCun, Patrick Labatut, Maximilian Seitzer, Piotr Bojanowski
https://arxiv.org/abs/2507.19468

Back to the Features: DINO as a Foundation for Video World Models
We present DINO-world, a powerful generalist video world model trained to predict future frames in the latent space of DINOv2. By leveraging a pre-trained image encoder and training a future predictor on a large-scale uncurated video dataset, DINO-world learns the temporal dynamics of diverse scenes, from driving and indoor scenes to simulated environments. We show that DINO-world outperforms previous models on a variety of video prediction benchmarks, e.g. segmentation and depth forecasting, a…