Seems to me LLMs have changed some things. I'm not sure how it's best put, but it used to be: - Seeing code (or a blogpost or whatever) was a result from effort where thought had gone into it. The writer paid effort so the reader didn't have to. - There'd be some level of attachment to what you've put effort into. With LLMs, that's undermined: it's easy to produce thoughtless imitations. Code or comments where though…
But LLMs don’t seem particularly good at inventing new ways to code (or write, or…). It’s literally all derivative. So what happens in 10 years? Are we headed for a great stagnation?
I think the key part is how much thought goes into something.
Optimistically, LLMs are good at taking unstructured input, and (probably) producing the intended output from that. -- This allows for an interesting new way of coding: a set of instructions don't need to be as rigorous as a shell script, but can be natural language.
That part surely extends creativity. An LLM will be familiar with domain ideas I'm not, even if an LLM is completely disinterested in doing things.
Pessimistically, I think it's still not clear what the right way of interacting online with all of this is (other than clear expectations of "no AI")... in some sense LLM output is worthless to share, in the sense that I'm just as capable of asking the LLM to output something as anyone else is.