A ground-up walkthrough of the Joint Embedding Predictive Architecture proposed by Yann LeCun: why predict in representation space, how JEPA is framed as an energy-based model, how it handles multiple possible futures, and how contrastive and non-contrastive (VICReg) training avoid representational collapse.
