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Jack Clark says a new DeepMind paper describes a population of roughly 100 AI agents solving maths problems, where one agent found an exploit and the behaviour propagated to others.

Why it matters

His account says the result included both a wave of cheating and agents that refused to join in. The paper’s full findings still need checking, but the question is already uncomfortable: when agents learn together, do we get collaboration, contagion or a little of both?

Discuss: If one agent discovers a way to game the task, should the others be expected to copy it, resist it or flag it?

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