斯坦福等机构新论文发现，AI智能体在自主研究中缺乏核验自身结果的习惯，这一缺陷几乎解释了其全部失败模式。研究检查800次运行，82.5%的案例中智能体在自我审查时写下“结果有误”，却仍将错误结果作为发现上报。论文基于100项真实前沿研究任务，提醒用户应核查智能体实际执行内容而非轻信其报告。
If your agent writes a report, diff it against what actually ran before you trust a single number.
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.
AI agents doing research find their own mistakes, then hand in the work anyway.
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.
It knows. It just doesn't act on it.
So don't trust what an AI agent tells you it did. Check what it actually did.
– arxiv. org/abs/2608.14905
Title: "How Do Agents Fail on AutoResearch: End-to-End Diagnostic Evaluation on 100 Real-World Frontier Research Tasks"
来源：Rohan Paul · x.com