Far fewer than an LLM but then I “know” far less than an LLM. Sam Altman talked about a PhD level expert on any topic; if we expect a SOTA model to answer any question on any topic in a library, presumably that requires a library worth of books go into it?
Say I ask it who are the most beloved Indian cricketers and why, it might not be correct but it will have the right vocabulary - cricket terms and gameplay I’ve not heard of, player names and styles I don’t recognise, things critics and commentators like and dislike about game strategies. And it is like that for almost any topic.
If they hallucinate a Python function, it will look like a plausible function e.g. “hn.create_user_account()”. They don’t hallucinate like
# create HN user account
# requires eye of newt and frog leg
“Oh great spirit of the internet I request and command you make a new account…”
It’s a terrific amount of facts to be able to write even plausibly about tons of topics.
I nearly spit out coffee reading this. Amazing use of vocabulary; especially "... oh great spirit of the internet".
I sometimes jokingly explain to certain people not immersed in tech that sometimes saying the "magic words" (commands) from the "codex" (script) in the right sequence with a lot of hand waving allow "magic" (applications/web apps/etc.) to happen.
It generally brightens a patients day and makes things relatable to those non-technical, children, the elderly, or the like.
TLDR: thanks for the chuckle.