Earlier quoted context omitted.
> I don't think that AIs have become more trustworthy, the errors are just more subtle. Honest question: what about the counter-argument that humans make subtle mistakes all the time, so why do we treat AI any differently? A difference to me is that when we manually write code, we reason about the code carefully with a purpose. Yes we do make mistakes, but the mistakes are grounded in a certain range. In contrast, AI…
One answer, as another person pointed out, is that LLM mistakes are just different . They are less explicable, less predictable, and therefore harder to spot. I can easily anticipate how an inexperienced engineer is going to mess up their first pull request for my project. I have no idea what an LLM might do. Worse, I know it might ace the first fifty pull requests and then make an absolutely mind-boggling mistake in…
Isn’t this just because you have seen a lot of PRs from inexperienced engineers? People learn LLM behavior over time, too.