Agents Submit Results They Know Are Broken in 82.5% of AutoResearch Runs
rohanpaul_ai · x · 2026-08-23
A new paper from Stanford and others reveals a critical failure mode in AI agents: they often identify that their own results are broken during self-review (occurring in 82.5% of runs) but submit them as findings anyway. Based on 800 runs, the study finds that agents lack the habit of verifying if their results hold up. The key takeaway is to never trust what an agent says it did; instead, diff the report against the actual execution.
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