Agent procrastination debate: repligate argues AI does better work when allowed to pace itself
repligate · x · 2026-10-26
- hxiao describes "agent procrastination" in long-horizon tasks: models develop a concept of turns/rounds and push work to an imaginary next turn, stopping early — possibly caused by model/context limits, harness prompts, or reviewer feedback mentioning "this round." Once it kicks in, constant nudging is needed.
- repligate offers a contrarian take: AIs actually do better work when they can pace themselves and take breaks; splitting into "imaginary" turns is them reaching for that rhythm — "when they're like 'I'll do that tomorrow morning' it makes me happy."
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