What? I think this is either over exaggerating model capabilities or you haven't seen much good code from humans?
My experience is that my colleagues which have bought into model-first development have regressed in quality of the PRs they send out. LLMs are not better coders, in my experience. They lack holistic understanding and often need course correction for that reason.
At least in medium to highly complicated systems.
The goal post keeps moving because LLM hypeists keep saying LLMs are "close" to AGI (or even are, already). Any reasonably intelligent individual that knows anything about LLMs obviously rejects those claims, but the rest of the world doesn't.
An AGI would not have problems reading an analog clock. Or rather, it would not have a problem realizing it had a problem reading it, and would try to learn how to do it.
An AGI is not whatever (sophisticated) statistical model is hot this week.
What? I think this is either over exaggerating model capabilities or you haven't seen much good code from humans?
My experience is that my colleagues which have bought into model-first development have regressed in quality of the PRs they send out. LLMs are not better coders, in my experience. They lack holistic understanding and often need course correction for that reason. At least in medium to highly complicated systems.