[dguest]

Maybe it's not going to get any better. LLMs were trained to do two things:

- Mimic human language (and logic, since that's part of what we express with language). This includes code written by humans.

- Write code to solve problems. The figure of merit here is solving the problem, not reproducing anything human.

I'm not an expert on LLMs, but it's not obvious that the human reasoning they are fitting in the first case is going to be anything like the problem solving required in the second case. It was trained to get itself out of a problem, not to do it in a way that a human would relate to.

And we're already running out of human data to train on, while synthetic data has no limit. Bug reports in the future might amount to "fix this because then I'll get a cookie".

[PunchyHamster]

A lot of it is that AI can talk with different "voice" but that requires giving it cues, and that costs money and expands context, so people that don't know, don't, and those that do have no incentive to