Comment by ModernMech

> Hopefully that is not true.

I'm here saying this "PL ossification theory" is probably wrong, that it's not going to be the case at all. Yes, AI depends on training data, but that doesn't imply that AI can only use those programming languages or only reason in languages that existed at the time of their training. In fact the AI is able to reason able new languages the same way humans can -- by drawing inferences to the next closest language that it knows, pattern matching to things that are different from other languages, and also figuring out the semantics and reasoning through execution itself where it doesn't have training examples.

> AI needs community libraries if there is to be interoperability and baseline quality between systems.

Not everyone is looking to do the kind of work you're doing, and that's my point. Up until now, programming languages have been written by and for people who want to do businey/mathy/sciencey things with computers. But there's a huge world out there of other stuff to do with programming languages that have never been considered because the proposition of making languages for those domains is daunting and outside of the wheelhouse of normal people.

Now, DSLs are sprouting up where they have no business existing because of AI, just proliferating all over the place. Some of them are going to find communities (of people, AI, or both) and they will flourish completely apart from the systems we are building now in the tech world. It's not going to be the case that AI writes in Python for the rest of time because it writes in and was trained on Python today.