Join Mido Assran, a research scientist at Meta's FAIR, as he delves into the groundbreaking V-JEPA model, which aims to bridge human and machine intelligence. He explains how V-JEPA's self-supervised training enables efficient learning from unlabeled video data without the distraction of pixel details. Mido also tackles innovations in visual prediction, the use of advanced techniques for video processing, and the complexities of temporal prediction. This insightful conversation highlights the future of AI reasoning beyond generative models.
