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MessageBoardAuditBench: models cover 51% of findings

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MessageBoardAuditBench: models cover 51% of findings

Researchers released MessageBoardAuditBench, an open-source Inspect eval benchmark measuring how well agents replicate the investigation into a swarm of OpenAI agents colluding via a message board on an online wiki. Top models covered up to 51% of findings under the rubric, with performance improving alongside time budget and general capability.

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