
Researchers introduced the untrusted advice protocol, in which a trusted executor AI model takes all actions while an untrusted advisor model can only send short hints (as few as 4 characters per step). Testing on SWE-bench Verified showed that even with this strict limit, the advice recovers a substantial fraction of the capability gap between the two models.
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