You're describing the same answer with different phrasing.

Humans do that, LLMs regularly don't.

If you phrase the question "what color is your car?" a hundred different ways, a human will get it correct every time. LLMs randomly don't, if the token prediction veers off course.

Edit:

A human also doesn't get confused at fundamental priors after a reasonable context window. I'm perplexed that we're still having this discussion after years of LLM usage. How is it possible that it's not clear to everyone?

Don't get me wrong, I use it daily at work and at home and it's indeed useful, but there's is absolutely 0 illusion of intelligence for me.