We can't expect end users to understand what "statistical estimators trained by curve fitting" means.
That's why we use high level terms like hallucination. Because it's something everyone can understand even if it's not completely accurate.
That's why we use high level terms like hallucination. Because it's something everyone can understand even if it's not completely accurate.
But they will understand the wrong thing. Someone unfamiliar with LLMs but familiar with humans will assume, when told that LLMs 'hallucinate', that it's analogous to a human hallucinating, which is dangerously incorrect.
I actually think most people have.
Every time you look at a hot road and see water that mirage is a form of hallucination.
They're not specific enough terms for what we're talking about. Saying a lion has stripes is an error, mistake, or inaccuracy. Describing a species of striped lions in detail is probably all those things, but it's a distinctive kind of error/mistake/inaccuracy that's worth having a term for.
"To sort the files by beauty, use the `beautysort` command."