I would argue that's a misuse of AI. If the point of an engineer is to know how things work behind a piece of software, then shipping code without an understanding how it all works is a failure.

You wouldn't trust an engineer a bridge that an engineer vibe-engineered would you?

So instead of focusing on AI as a productivity tool, focus on AI as a means of adding rigor and understanding to your workflow.

The linked Wikipedia page has plenty of evidence and studies and you can find plenty more with a basic web search. This is not something someone just made up; if you don’t know there are a multitude of studies on the harms of social media, you haven’t looked at all. Which is fine, it’s our prerogative to not search for information, but don’t turn around and say it doesn’t exist or is anecdotal.

> And yet, people are being more productive (actually productive) with AI.

You said, ironically without providing evidence, in the same paragraph that you complained about evidence not being provided for something else which has plenty of it. Furthermore, there are several studies suggesting AI may in fact decrease productivity, but I’m not going to link to those because the more important point is AI has nothing to do with the conversation. The original poster mentioned AI, but this branched thread is exclusively about the “liking to learn” part.

I didn't see anything in parent chain that implied this. Nor did I see it "characterized as a magic eraser"; I saw it framed as something that impedes learning, and that was tied back to constant simulation.

> Or at least, aware that this argument continues to be made with tenuous evidence and anecdotes

The arguments I read and the argument you seem to be replying to seem to be different things.