Related to this, but I worry that LLMs are going to drag programming into local maxima -- they're trained on the set of languages that exist today, and so the languages of tomorrow will have a much harder challenge gaining traction because the (possible future of) LLM assistants everyone is using (forced or otherwise) don't know it. Chicken and egg becomes so much harder in this future.
Programming is not so much about languages as about algorithms, and to a lesser degree - patterns. These don't change much language to language.
Also - witnessing the raise of Solidity on Ethereum, and how difficult it was for other languages to break through, I would say we have crossed the point you mentioned a long time ago.
Any new language will have an uphill battle now since there is so much less documentation, tutorials and StackOverflow replies to it. If anything, GPT can help here, since it can learn a new language fast, and then give replies that you wouldn't otherwise find on StackOverflow.
I wonder if a langauge could be built from the ground up with LLMs in mind. Are there any language design decisions that would lead to better LLM code?
