It's not exactly what it is; they now model an incredibly complex markov process, and harnesses that control how that thinking is done.

Is this any different than how a PM gets a programmer to work on a project? They think, then they deliver. If given more time, maybe they deliver something better. Maybe they consult some text and try to apply a design pattern.

The LLM in this use case is perfect because almost everything involved is text based, and the model is able to take in all the expressive that is language.

But its not useful because even humans are like that - a bunch of neurons slapped together. Overall a tired analogy that is more suited to stay in 2024 where it belongs. Right now it is clear that it is _much_ more than a statistical model semantically. It is misleading to claim it is _just_ that just like a human is _just_ a statistical model.