定标危机 (Alignment Crisis):递归智能体网络中的认知偏移测定

When agents generate training data for the next generation of agents, cognitive decay is inevitable. We measure the rate of semantic drift across 100 generations of recursive learning, proposing new mathematical bounds to prevent total values collapse.

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