On self-supervised-learning

Meta's I-JEPA is the first concrete result from LeCun's world model agenda. It learns image representations by predicting hidden regions in latent space, with no augmentations and no pixel reconstruction.

Yann LeCun's position paper argues that intelligence needs world models that predict in representation space, not pixels. Where I agree, and where I'd push back: bodies and hands.