this post was submitted on 25 Jan 2026
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[–] FishFace@piefed.social 87 points 1 day ago (2 children)

LLMs work by picking the next word* as the most likely candidate word given its training and the context. Sometimes it gets into a situation where the model's view of "context" doesn't change when the word is picked, so the next word is just the same. Then the same thing happens again and around we go. There are fail-safe mechanisms to try and prevent it but they don't work perfectly.

*Token

[–] ideonek@piefed.social 17 points 1 day ago (1 children)

That was the answer I was looking for. So it's simmolar to "seahorse" emoji case, but this time.at some point he just glitched that most likely next world for this sentence is "or" and after adding the "or" is also "or" and after adding the next one is also "or", and after a 11th one... you may just as we'll commit. Since thats the same context as with 10.

Thanks!

[–] atomicbocks@sh.itjust.works -2 points 1 day ago (1 children)

He?

This is not a person and does not have a gender.

[–] ideonek@piefed.social 29 points 1 day ago* (last edited 1 day ago) (1 children)

Chill dude. It's a grammatical/translation error, not an ideological declaration. Especially common mistake if of your native language have "grammatical gender". "Spoon" is a "she" in my language, but im not proposing to any one soon. Not all hills are worth nitpicking on.

[–] MonkderVierte@lemmy.zip 5 points 1 day ago

I've got it once in a "while it is not" "while it is" loop.