Opinionllmmodel evaluationhuman error
Author Finds LLM Isn't Wrong In Many Cases
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5.7
A LessWrong author recounts accumulating recent instances where they initially judged a large language model to be mistaken, only to discover they were the one at fault, and presents a recent favorite example illustrating the pattern.
Scoring Rationale
Anecdotal but relevant insight into LLM evaluation; RSS-only description limits verifiability and depth of claims.
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