For complex JEPA applications, the latent space must be structured to support planning, with the predictor learning smooth transitions between states through conditional actions, so changes in latent state make sense and predicted trajectories don't drift or accumulate errors.
causalpending
Evidence Quote
“For more complicated Jepa applications, the latent space must be structured in a way that supports planning. The predictor needs to learn smooth transitions between states through conditional actions, so the changes in the latent state would make sense.”
Created: 8/12/2026, 6:16:15 PM
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