LLM will make all languages mostly irrelevant, a niche like Assembly programming is nowadays, it is the next abstraction level, generating existing languages is only a temporary measure until they get good enough to generate straight executables.

Not even the deterministic high-level programming languages have succeeded to make the assembly languages irrelevant, despite everybody claiming that this will happen.

While the amount of source code written in assembly languages is an extremely small fraction of the total existing code and only few programmers are competent to write such programs, that assembly source code determines a large fraction of the performance of the applications run on modern computers.

LLMs are likely to behave similarly, i.e. a good amount of programs will continue to be written directly in deterministic programming languages by competent programmers, while a greater amount of source code, usable for solving problems that are neither novel nor critical, will be generated by people with lower skills, with the help of LLMs.

I predict that it will never make sense for artificial neural networks to directly generate machine code, for most of the same reasons it doesn't make sense for biological neural networks to do so.