Opinionllmmodel evaluationhuman error
Author Finds LLM Isn't Wrong In Many Cases
5.7
Relevance Score
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.
Sources
- Read OriginalWhen the LLM isn't the one who's wrong — LessWronglesswrong.com
