
#416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI
Lex Fridman Podcast
Advancements in Video Representation Learning
This chapter explores the challenges and advancements in developing large video models that aim to predict high-dimensional video data akin to autoregressive language models. The discussion emphasizes the effectiveness of joint embedding approaches, including the Joint Embedding Predictive Architecture (JEPA), as well as innovations in non-contrastive learning techniques for enhanced representation. It also highlights how these advancements can lead to improved understanding and decision-making in dynamic contexts such as robotics.
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