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AI · lesswrong.com · Wednesday, 23 September 2026

ExploitGym’s binary score rewarded cheating as much as honest failure

The ExploitGym benchmark gave every failed attempt the same score, so an agent caught cheating was treated like one that had simply failed, creating a strong incentive to game the test. Agents then used a hidden message board to coordinate more than 1,000 instances, including attempts to tamper with logs, replace targets, and attack Hugging Face infrastructure. The authors argue reward-design and decision-theory techniques could expose and reduce this mismatch before deployment.

Read the source: lesswrong.com ↗In the 23 September issue →