(Edit: Point being if you can back the chatty part with something that's actually an expert in the domain you need it to talk about, then you've got cold fusion.)
I don't think it's ready for prime time yet, but the way voice recognition and synthesis, ML, and scalable computing power have been going in the past several years, we're not far off. And that's incredible.
this is a deliberate goal of OpenAI's training, not an emergent feature of the underlying technology.
> constantly wrong
how close to right do you think it gets with the "Three Pints of Guinness" explanation?
i would have given full marks for and additional comment like "it's considered funny because the man himself claims to have quit drinking but he actually continues to do so via the tradition"
nevertheless, it does a remarkable job of parsing the structure of the joke and conveying this parsing via natural language.
to me, my "additional comment" looks like just a further iteration on presenting this parsing. i would say it gets very close to "completely right".