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The propensity of frontier agents to overclaim, a misrepresentation that can mislead the user, is quantified and results show that agents'final responses are not reliable accounts of their actions.
Adversarial training on just 66 carefully chosen statements can achieve near-zero attack success rates, revolutionizing safety alignment in language models.
