[abc_lisper]

I thought about this first when chatgpt 3.5 came on the scene. Yes, you _can_ at some time in the future, replace programs with AI which would be slow to an extent - if AI can write and manage the code, it _could_ be even faster.

But there is a kicker here. It is upto LLM to discover the right abstractions for “thinking” while serving the requests directly or in the code .

Coming up with the right abstraction is not a small thing. Just see what git is over cvs - without git no one would have even imagined micro services. The right abstraction cuts through the problem, not just now, but in the future too. And that can only happen if the LLM/AI managing the app is really smart and deal with real world for a long time and make the right connection - these insights don’t even come to really smart people that easily!

[pepoluan]

Or maybe just don't use LLM.

LLM is just a tool in the A.I. world. There are lots of other A.I. tools, such as Neural Network, Fuzzy Logic, Genetic Programming, and so on.

[will5421]

Didn’t the Google Translate AI invent its own intermediate language for translating between languages?