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Studying AI model behavior without a settled interpretation
A post advises researchers to remember what they observed and keep going when a model's behavior is hard to interpret.
TLDR
A post argues that researchers needn't stop when they can't interpret a model's behavior. It advises them to remember what they observed without deciding too soon what it means. In a related post, the same author suggests that holding complexity and uncertainty takes skill and courage, not just mental capacity.
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