In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits.
You call them hallucinations, the rest of us call them errors. But you don’t want to call them errors because then someone might inconveniently ask you what the error rate is, and you definitely can’t have that.
they’re not errors either, because that implies they’re unintended. hallucinations are the program working as designed. they are more like… consequences.
You call them hallucinations, the rest of us call them errors. But you don’t want to call them errors because then someone might inconveniently ask you what the error rate is, and you definitely can’t have that.
they’re not errors either, because that implies they’re unintended. hallucinations are the program working as designed. they are more like… consequences.
I like the term “confabulation”.
https://en.wikipedia.org/wiki/Confabulation