On jepa
- A billion dollars for JEPA
Yann LeCun's AMI Labs raised $1.03 billion to build world models on the JEPA framework. Revisiting what I wrote in 2022, and the one thing I still think the plan is missing.
2 min reads likes comments - LeCun leaves, Marble ships
In one week World Labs launched Marble, Yann LeCun confirmed he's leaving Meta to start a world-model company, and Google shipped Gemini 3. The world-model bet went public from three directions.
2 min reads likes comments - 62 hours of robot data
Meta's V-JEPA 2 learns a world model from a million hours of video, then learns to plan robot actions from 62 hours of robot data. Promising, and still missing touch.
2 min reads likes comments - Predicting in representation space
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.
2 min reads likes comments - LeCun's path, read carefully
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.
2 min reads likes comments