We’re at an interesting moment culturally. The notion of “AI” covers a very wide range of technological capabilities as well as projections for the future. In a sense, this isn’t new.
There has always this fine line between “AI” and “just something that a computer can do” in the mind of the public. ELIZA, Deep Blue, Watson, even BERT. Now GPTs.
Where things get interesting is when development of the current models hits a ceiling, and we have to look around for inspiration beyond more data!. If you look at the table of contents for the go-to textbook on Artificial Intelligence (link here), a lot of what fits in the general definition of AI today is squeezed into sections 5 and 6 of the book. There is a lot of AI that can be pulled in, maybe sooner rather than later, to address a lot of the issues seen with the current crop of GPTs.