this post was submitted on 17 May 2024
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It's not a bug, it's a natural consequence of the methodology. A language model won't always be correct when it doesn't know what it is saying.
Yeah, on further thought and as I mention in other replies, my thoughts on this are shifting toward the real bug of this being how it's marketed in many cases (as a digital assistant/research aid) and in turn used, or attempted to be used (as it's marketed).
I agree, it's a massive issue. It's a very complex topic that most people have no way of understanding. It is superb at generating text, and that makes it look smarter than it actually is, which is really dangerous. I think the creators of these models have a responsibility to communicate what these models can and can't do, but unfortunately that is not profitable.
it never knows what it's saying
That was what I was trying to say, I can see that the wording is ambiguous.
Oh, at some point it will lol