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Rohan Paul· @rohanpaul_ai · X·· 3 小时前AI 评分63
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Google 研究人员提出了 Thinking-in-Bets 方法,通过让 Gemini 智能体在读取用户反馈前私下记录核心主张、验证依据与置信度,显著减少了因用户错误质疑而放弃正确成果的谄媚性改写。实验表明,该方法在补丁审查和报告评审中大幅降低了错误放弃率,有效保护了已通过测试的正确工作。

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New Google paper finds that Gemini AI agents are much less likely to undo correct work after a user wrongly says “that’s wrong” if they first write down what they checked and how sure they are.

When a user says "that's wrong, redo it", agents often rewrite code that already passed its tests. Telling them to stand firm backfires, because they then ignore real bugs.

Thinking-in-Bets has the agent privately note its main claims, the checks behind them, and its confidence before seeing the reply. When challenged, it re-checks only the disputed claims and asks which case failed if the complaint is vague.

In patch review across 5 Gemini models, agents wrongly gave up 12.2% of correct requirements after a bare complaint, against 0.02% with the checklist. On report reviews, writing the checklist after the complaint reached only a 65% pass rate, against 89% when written first.

Agents that take user feedback should log what they verified, and how sure they are, before reading the reply.

– arxiv. org/abs/2610.34654

Title: "Thinking-in-Bets at Test Time Reduces Sycophantic Revisions in LLM Agents"

来源:Rohan Paul · x.com