this post was submitted on 01 Dec 2025
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For one month beginning on October 5, I ran an experiment: Every day, I asked ChatGPT 5 (more precisely, its "Extended Thinking" version) to find an error in "Today's featured article". In 28 of these 31 featured articles (90%), ChatGPT identified what I considered a valid error, often several. I have so far corrected 35 such errors.

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[–] dukemirage@lemmy.world 94 points 2 weeks ago (16 children)
[–] anamethatisnt@sopuli.xyz 90 points 2 weeks ago (3 children)

I find that an extremely simplified way of finding out whether the use of an LLM is good or not is whether the output from it is used as a finished product or not. Here the human uses it to identify possible errors and then verify the LLM output before acting and the use of AI isn't mentioned at all for the corrections.

The only danger I see is that errors the LLM didn't find will continue to go undiscovered, but they probably would be undiscovered without the use of the LLM too.

[–] shiroininja@lemmy.world 5 points 2 weeks ago* (last edited 2 weeks ago)

Or it flags something as an error falsely and the human has so much faith in the system that it must be correct, and either wastes time finding the solution or bends reality to “correct” it in a human form of hallucinating bs. Especially dangerous if saying there is an error supports the individual’s personal beliefs

Edit:

I’ll call it “AI-induced confirmation bias” cousin to AI-induced psychosis.

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