# Run benchmark with the generated model, use -m to specify the model path, -p to specify the prompt processed, -n to specify the number of token to generate
Ponce et al. (ICLR 2026) proved something surprising about this: EMA-based training dynamics like JEPA’s don’t optimize any smooth mathematical function, yet they provably converge to useful, non-collapsed representations. The equilibria are asymptotically stable, meaning the system naturally falls into states where the representations are informative.
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from the baddies (choose an evil-sounding sci-fi name for this group).
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