Retries can make AI failures worse

Reddit r/AI_Agents News

Summary

This article discusses how retries in AI systems, particularly with LLMs and agents, can exacerbate failures when underlying issues are not addressed, leading to repeated mistakes with increased cost and latency.

Something that I have noticed while working with LLMs and agents is that a retry only helps if something can actually change. If the failure comes from bad context, a broken tool contract, or an impossible state, retrying often just repeats the same mistake with more cost and latency. I ask myself: “What will be different on the next attempt?” If the answer is “nothing,” retrying isn’t recovery. It’s repetition.
Original Article

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