That’s a broken analogy. An intern and a llm have completely different failure modes. An intern has some understanding of their limits and the llm just doesn’t. The thing, that looks remarkably human, will make mistakes in ways no human would. That’s where the danger lies: we see the human-like thing be better at things difficult for humans and assume them to be better across the board. That is not the case.

I think the difference, though maybe I'm incorrect, is that when we have interns on our codebase they get restricted permissions. Can't push to prod, need pull requests with approvals and reviews, etc. Certainly can't delete backups. Whoever setup the robot's permissions did it wrong. Which is interesting because early on there were people complaining that these AIs refused to push to main, but now this stuff keeps happening.

I had a senior tech lead delete production doing a late night quick fix. Especially in panic mode where sometimes processes are ignored, things are going to go wrong. Don't need interns for that, nor llms.