Your hypotheticals are all extremely unlikely. People who ace interviews are usually good, and people who lean on stuff like ChatGPT aren't. I'd also rather not have someone dumping massive amounts of ChatGPT output into a good codebase.
>what's the problem?
Using a LLM is akin to copy/pasting code from random places. Sure, copy/paste can be done productively, except ChatGPT output comes completely untested and unseen by intelligent eyes. There are also unsolved copyright infringement issues via training data, and a question as to whether the generated code is even copyrightable as it is the output of a machine.
People who ace interviews are people with practice. That means you are last in a long line of unsuccessful interviews or the person constantly interviewing and will be leaving you as fast as they came in.
Find someone with a great resume and horrible interview skills. Chances are they have been working for years and are entering the job market for the first time. You are one of the firsts in their interview process. Grab them right away because once they start getting slightly good in the interview process someone will snap them up and realize they got a 10x (whatever it means to that company).
You'll never find that 10x if you are looking at interview performance unless you can compete on price and reputation.
You don't have to guess if someone is entering the job market for the first time. You can just look at their resume.
Interview skill is not some monotonically increasing quantity. It very much depends on how the question hits you and what kind of a day you've had. Also, it somewhat depends on the interviewers' subjective interpretation of what you do. If you're more clever than them, your answer may go over their head and be considered wrong. They might also ask a faulty question and insist it is correct.
I'm not great at interviews myself. My resume is decent, but the big jobs usually boil down to some bs interviews that seem unnecessarily difficult to pass. I don't practice much for them, because I feel like it mostly depends on whether I've answered a similar question before and how I feel that day. I also often get a good start and just run out of time. I've found that sometimes interviews are super hard when the interviewers have written you off, as in you presented poorly in an earlier session and they are done with you. Also, when there is zero intention of hiring you generally, like someone else already got the job in their minds.
>what's the problem?
Using a LLM is akin to copy/pasting code from random places. Sure, copy/paste can be done productively, except ChatGPT output comes completely untested and unseen by intelligent eyes. There are also unsolved copyright infringement issues via training data, and a question as to whether the generated code is even copyrightable as it is the output of a machine.