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Model-assisted CBRN planning shows promise, but significant uplift is limited to the radiological domain, challenging assumptions about AI's broad applicability in high-stakes scenarios.
Current red-teaming efforts miss the forest for the trees: ARES reveals that safety failures often stem from a systemic breakdown between the LLM *and* the reward model, not just the LLM itself.
