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 LeCun

Evidence 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 Zurich
Created: 8/12/2026, 5:59:01 PM

My Notes

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