Comment by preg_match

I also agree but the autonomous part comes from coding. We build autonomous systems with code, so it AI is really good at writing code (it is), we increase automation. Not with the AI itself, but with what it produces.

Which is good, for many reasons:

- environmental costs go down. Algorithms are cheap, LLM inference and training is not.

- code is deterministic

- code can be read and understood by professionals

- code can be deployed trivially, whereas deploying an LLM costs huge infrastructure

So using an LLM to help write code is the best of both worlds. You get velocity increase from the LLM, with none of the hallucination or environmental downsides at deployment time.