An LLM-only oriented language doesn't make sense, because without human generated training data there is nothing for the model to learn from.

But if a human-oriented language were to be designed to also be better for LLMs, I think it would involve deeply expressive syntax that can succinctly but distinctly represent a very broad set of common operations. Succinct so context can be managed well, distinct so completions don't confuse one thing for another, broad so as much "reasoning" can be taken away from the LLM as possible. An anti-C. A new take on the goals of Java and Go to be languages that protect the application from the Junior Developers You're Likely To Hire.

I somewhat think it would also involve application state images ala Smalltalk. LLMs seem okay at generating small deltas. Many deltas sequenced together invites compounding error. LLM generated apps are unlikely to lead to common libraries being compentized and extracted out of the application to share with other applications; it seems like LLM code generation is already a "married to a specific project" act already. So, having a living state image might reveal some benefits by leaning into incrementally developing the application in situ, as a whole.