this post was submitted on 23 Feb 2026
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Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.

Also includes outtakes on the 'reasoning' models.

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[–] DarrinBrunner@lemmy.world 54 points 5 days ago (23 children)

I think it's worse when they get it right only some of the time. It's not a matter of opinion, it should not change its "mind".

The fucking things are useless for that reason, they're all just guessing, literally.

[–] merc@sh.itjust.works 5 points 4 days ago

It's not literally guessing, because guessing implies it understands there's a question and is trying to answer that question. It's not even doing that. It's just generating words that you could expect to find nearby.

[–] XLE@piefed.social 3 points 4 days ago

Even if you retooled the LLM to not randomize the output it generates, it can still create contradictory outputs based on a slightly reworded question. I'm talking about a misspelling, different punctuation, things that simply wouldn't cause a person to change their answer.

(And that's assuming the LLM just got started from scratch. If you had any previous conversation with it, it could have influenced the output as well. It's such a mess.)

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