• Ensure that safety assessments cover emergent risks: As models get more capable, we
should be prepared for emergent capabilities and complex interactions to pose novel safety issues.
It’s important to develop evaluation methods that can be targeted at advanced capabilities that
could be particularly dangerous if they emerged in future models, while also being open-ended
enough to detect unforeseen risks.

• Be cognizant of, and plan for, capability jumps “in the wild”: Methods like ﬁne-tuning
and chain-of-thought prompting could lead to capability jumps in the same base model. This
should be accounted for explicitly in internal safety testing procedures and evaluations. And
a precautionary principle should be applied: above a safety critical threshold, assurance of
suﬃcient safety is required.
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