I wonder if "you name" is a load bearing typo that breaks something else if corrected, so they left it in on purpose.
I propose we standardise this terminology. It's too good to be neglected.
Why is it unlikely? Why does prompting it different ways and getting the same result make it unlikely?
A hallucination, when it comes to LLMs, just means "the algorithm picking most likely next tokens put together a string of tokens that contains false information". It doesn't mean the LLM is having a novel false idea each time. If the first time it hallucinates it thinks that that misspelling is the best next-token to use, why wouldn't it keep thinking that time and time again (if randomness settings are low)?
Obviously they're a black box so it's possible there could be some very rare edge cases where it happens anyway, but it'd be a complete fluke. Changing the prompt even superficially would essentially cause a butterfly effect in the model that would prevent it from going down the exact same path and making the same mistake again.