I think a reasonable person would immediately understand that the outputs of the bigram model were not statements of fact. Is there some threshold of language modelling performance where this understanding is no longer expected?
I think a reasonable person would immediately understand that the outputs of the bigram model were not statements of fact. Is there some threshold of language modelling performance where this understanding is no longer expected?
Knowing human beings, this is the level of plausibility where people start to believe the thing. People aren't good at seeing plausible arguments as out-and-out fabrications.
So, yes, this is past some threshold despite being far from AGI. I mean, Google is probably pasted that threshold too but Google only gives existing websites (which can be filled with lies too).
But that's not the point. The point is that average people are going to ask things they don't know the answer to and put some credibility in it's answer because it's fairly good at seeming right and at some percentage being. Me improving my approach cannot change that. Tips on improving performance won't stop that. etc.
What I mean is, maybe we'll collectively (re)realize how absolutely vital truth and critical thinking are.
I suppose whether we do depends on whether people in positions of influence begin to emphasize their importance in their writing and speaking.
If two hundred years of scurrilous journalism didn't teach us this, I don't see why one lying machine would do so.
Some cable news viewers want entertainment about labs and lasers rather than facts and a chat bot is incredibly entertaining. A chat bot can tell them the earth is billions of years old but they’ll just exit the chat, start searching and find it on some conspiracy website.
Interesting considering the context that you'd expect people to know what a bigram model is, or how it would be different.
Any other kind of model isn't any less "dangerous" to unreasonable people like the blog post writer, it's just more obscure, especially right now, than ChatGPT.
Edit: While I might not agree with Turley, his wikipedia bio makes him sound far more principled and consistent than the average "public intellectual" today.
Is actually something you would absolutely argue in a US defamation trial. Defamation damages need to stem from people actually believing the falsehood. If the bad press from a false statement leads to someone, say, losing their job, those are damages, but the plaintiff would need to prove it was because their employer believed the lie.
https://www.google.com/search?q=google+autocomplete+usatoday