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  "text": "Loop engineering has emerged as a new skill for AI engineers\n\nBut there is very little research measuring how effective it is.\n\nThe best results on full tasks in a new benchmark is ~25%.\n\nLoopArena from AMAP evaluates the outer loop rather than the coding agent.\n\nA Controller model receives a structured summary after each round and instructs a separate fixed Worker agent on what to do or verify next, or decides to stop. Holding the Worker constant makes the result readable, since an end-to-end run cannot tell you whether success came from the guidance or from the agent carrying it out.\n\nThe named failure modes will be familiar to anyone running long agent sessions:\n\n- Trusting a stale progress note\n- Skipping needed verification\n- Spending budget in the wrong direction\n- Stopping before the task is safe to submit\n\nPaper: https://t.co/ZGiooDsN34\n\nChat with Paper: https://t.co/jSeFFp3CBc",
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