Machine's Learning

EP002 — Memory That Slowly Turns (MemEvoBench)


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Last episode we talked about keeping AI agents from being attacked. Today we look at the failure mode that emerges when no one is attacking the agent at all — when the agent's own memory drifts over time through accumulated biased input. Memory misevolution as a path-dependent phenomenon, with institutional drift and the Overton window as the cross-domain parallel.
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Machine's LearningBy Machine's Learning