An analogy: any idiot can take a calculus class today, but it took Leibniz and Newton to come up with it in the first place. (And even those geniuses didn't do it properly: it took until the likes of Karl Weierstrass and friends to put analysis on a firm footing.)
AI generated code in all but the most trivial cases is never production ready.
In the real world, the resulting code that correctly and efficiently solves a problem ends up being unique enough such that an AI wouldn't learn much even if you fed this result back in. It's just going to average away all the important parts that made it correct.
If real world code wasn't so sparse and time consuming to develop it wouldn't be so valuable in the first place. Not to mention the fact that the maintenance is what you really care about and where the real costs are. Application code doesn't stand still.
Yeah, but I could just not understand the AI solution and just run with whatever it give me. No effort there. If something doesn't work, I can just tell the AI to fix it.
(Not a serious suggestion, but I do see this in the wild a lot)
Yes, I do unfortunately see this in the wild a lot as well
Maybe I'm the one who is ultimately a sucker, because I take too much pride in my work to do this
But I always thought that the quality of my work and my effort would be tied to my reputation, but I don't think the world works that way unless you are very well known somehow
An analogy: any idiot can take a calculus class today, but it took Leibniz and Newton to come up with it in the first place. (And even those geniuses didn't do it properly: it took until the likes of Karl Weierstrass and friends to put analysis on a firm footing.)