Today we\u2019re joined by Mido Assran, a research scientist at Meta\u2019s Fundamental AI Research (FAIR). In this conversation, we discuss V-JEPA, a new model being billed as \u201cthe next step in Yann LeCun's vision\u201d for true artificial reasoning. V-JEPA, the video version of Meta\u2019s Joint Embedding Predictive Architecture, aims to bridge the gap between human and machine intelligence by training models to learn abstract concepts in a more efficient predictive manner than generative models. V-JEPA uses a novel self-supervised training approach that allows it to learn from unlabeled video data without being distracted by pixel-level detail. Mido walks us through the process of developing the architecture and explains why it has the potential to revolutionize AI.\n\nThe complete show notes for this episode can be found at twimlai.com/go/677.