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When an LLM decision assistant makes a bad call, what went wrong?
A post shares a new paper asking whether bad LLM decisions reflect mistaken beliefs or a failure to optimize actions.
TLDR
A post sharing a new paper says people use LLMs as decision assistants, including to estimate risk and recommend treatment. It asks whether a bad call means the model formed incorrect beliefs or failed to optimize its action under a given utility—a distinction the post says matters for aligning these assistants with our goals.
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