This is such a bad take given the current LLM agents
High level languages :
- compress low level patterns into high level abstractions which save context/token
- express higher level meaning through things like names
- express and enforce constraints through type system
LLMs are context constrained, do really well with tools that help them iterate towards a correct solution (type systems) and work on human language (although they are compressing it to be more token efficient).
Why would you take something compilers are really good at (translating high level concepts into low level hardware instructions) and bake that into LLMs
If anything LLM programming language will be something like high level IR that's token optimized, but honestly the AI labs are so lazy (or bad) at fundamental engineering (look at their sandboxing solutions LOL), they are going to keep pumping training on shell/python/rust RL environments.
High level languages :
LLMs are context constrained, do really well with tools that help them iterate towards a correct solution (type systems) and work on human language (although they are compressing it to be more token efficient).Why would you take something compilers are really good at (translating high level concepts into low level hardware instructions) and bake that into LLMs
If anything LLM programming language will be something like high level IR that's token optimized, but honestly the AI labs are so lazy (or bad) at fundamental engineering (look at their sandboxing solutions LOL), they are going to keep pumping training on shell/python/rust RL environments.