Yann LeCun's $1B Bet Against LLMs [Part 1]

LeCun raised a billion dollars to pursue an approach that is neither rooted in language nor generative: by design it does not produce text, images, or video. The alternative is JEPA — not a model but a training framework. Where a language model learns to predict the text that follows, and a classifier learns to predict a label, JEPA passes both input and output through models and works in the space between them.