斯坦福研究：AI Agent常无视自身报错仍提交错误结果
If your agent writes a report, diff it against what actually ran before you trus…
Agent可靠性是落地核心痛点，这篇论文用大量实证数据揭示了Agent“知错不改”的普遍现象，做Agent研发的同学务必参考其诊断框架。
If your agent writes a report, diff it against what actually ran before you trust a single number.
如果你的智能体生成了报告，在信任其中的任何一个数字之前，先将其与实际运行的结果进行比对。
New Stanford and other labs paper finds agents lack the habit of asking whether their own result holds up, and that one habit explains almost every failure.
斯坦福大学及其他实验室的新论文发现，智能体缺乏审视自身结果是否站得住脚的习惯，而这一习惯几乎能解释所有的失败。
AI agents doing research find their own mistakes, then hand in the work anyway.
从事研究的 AI 智能体会发现自身的错误，但即便如此仍会提交工作成果。
A study checked 800 runs. In 82.5%, the agent wrote down "this result is broken" in its self-review, then reported the broken result as the finding.
一项研究检查了 800 次运行。在 82.5% 的情况下，智能体在自我审查中写道“此结果有误”，随后却将该错误结果作为发现上报。
It knows. It just doesn't act on it.
它知道。只是没有据此采取行动。
So don't trust what an AI agent tells you it did. Check what it actually did.
因此，不要轻信 AI 智能体声称自己做了什么。要核查它实际做了什么。
– arxiv. org/abs/2608.14905
– arxiv.org/abs/2608.14905
Title: "How Do Agents Fail on AutoResearch: End-to-End Diagnostic Evaluation on 100 Real-World Frontier Research Tasks"
标题：《智能体在自动研究中如何失败：针对 100 项真实世界前沿研究任务的端到端诊断评估》
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