Why You Shouldn't Cite AI Language Models as Factual Sources
By
xd1936
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Summary
The article addresses the problematic practice of citing AI language models like ChatGPT as authoritative sources. It explains that large language models are not fact repositories but rather predictive text generators that produce statistically likely responses, which may sound convincing but can be inaccurate. The piece serves as a warning against treating AI outputs as factual evidence, comparing it to someone who has read many books but doesn't remember sources accurately.
Key quotes
· 4 pulledResponses from Large Language Models like ChatGPT, Claude, or Gemini are not facts.
They're predicting what words are most likely to come next in a sequence.
They can produce convincing-sounding information, but that information may not be accurate or reliable.
Imagine someone who has read thousands of books, but doesn't remember where they read what.
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