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Well, if the evaluation infrastructure is something humans could have had access to before, and that the agents key "skill" is just that it's a more patient and scalable worker, I would still argue that this "comes from the agent".

Humans get bored, inpatient, or run out of time, and so often give up in what they perceive to be a decent "local minima". Early verification harnesses using gpt-4 for optimizing robot reward functions succeeded quite well on the fact that the LLM just kept going (link below). As long as it is too boring for a human to use the same evaluation infrastructure, this is still an agent skill.

https://arxiv.org/abs/2310.12931

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