I don't understand what good could come of this. Or at least make it detect what is fiction and what isn't.
People are treating it like it's Wikipedia, but it's not. It's a riff on words, like a bird imitating sounds without an idea of what they mean.
But ChatGPT is a bullshit machine, and that much is new.
To the extent this perception exists -- and I don't think "came from a computer" falls within the top 5 actually effective methods of laundering bullshit nowadays, though maybe it used to -- you might expect that it gets crushed into dust as the public gets more exposure to high-profile counterexamples.
And, wait, isn't the concern usually that people read AI-generated content and trust it but don't think it came from a computer?
And so what if it people misuse the the tool while they learn? What's wrong with being wrong?
Instead of patronizing users by adding a stupid sentence at the end of each answer reminding them to be careful, it could say every time "I'm just a machine and what I say is random; if it's true it's by accident; it's mostly probably wrong and only sounds like the truth".
Here's an example I posted in another thread, where the machine is repeatedly mistaken but affirms it absolutely, positively can't make a mistake:
If the AI spits out some gobble-de-gook that doesn't even work, the answer will probably be downvoted.
However, that doesn't mean that the answer will be necessarily high quality or bug-free, the same can be said about answers given by a human. At the same time, if it's stupid but it works...
The generated quines look like they'd work, but don't.
Same with an M4 macro processor quine - looks maybe correct, doesn't work.
It did generate a Go quine.
Because there are several of them on the web:
Not only did they never bother to block that, they also didn't mind it and wanted to rely on the community down-voting those answers instead of at least blocking the bot -- and that's with a trivial check (identical answer already in DB). With something that's AI-generated, there's no chance. And with the general quality of many of the answers, there's no way to tell apart wrong answers from AI or humans.