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The author discusses applying Yann LeCun's JEPA (Joint Embedding Predictive Architecture) to coding agents, proposing that instead of treating code as text, agents should learn compact state representations and predict future states, potentially achieving orders of magnitude efficiency improvements over current LLM-based approaches.