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Models frequently misjudge safety across different intents, revealing critical vulnerabilities in AI completion systems that could lead to harmful outcomes.
Current safety filters miss the forest for the trees: they fail to detect the subtle, step-by-step progression of harm within reasoning chains, leaving models vulnerable to jailbreaks.
