I suspect it is all futile without resurrecting the old idea of being "learned" as in learn-ed.

"Learned" didn't really mean what we mean today by being well educated or smart. You can't use AI to cheat and become "learned". AI can find the books to read but you still have to read them and understand the ideas.

There was connotation of breadth as opposed to depth with being "learned".

I think we also have to forget about "the real world". Being "learned" automatically is going to inherit dealing with "the real world" because the real world is always changing and that is exactly why breadth should be the focus going forward more than the depth of the research university model.

Of course, in a society so dominated by credentialism, credentialed people are going to hate AI because it will obviously let anyone cheat at the credential they put so much time and effort into. This doesn't need to be dressed up in some "think of the children" argument.

Claude to me is the greatest thing since sliced bread that increases my "learnedness" every single day but I also am a drop out that invested basically nothing in being a credentialed person.