Joint Embedding Predictive Architecture (JEPA) encodes both input X and future observation Y before prediction, allowing the system to eliminate unpredictable information and produce more abstract, accurate representations compared to generative models that reconstruct raw pixels
factualpending
Speaker
Yann LeCunEvidence Quote
“it can eliminate all the information about about Y that is simply not predictable”
Source
Yann LeCun: World Models: Enabling the next AI revolution— Computer Vision and Geometry Group, ETH ZurichCreated: 8/12/2026, 5:59:01 PM
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