Studies have shown that natural human languages are all more or less equally expressive in terms of bits per second while speaking. There's lots of different ways they can be structured but they tend to follow common rules that have been well-characterized by linguists. They can be used to describe formal mathematical statements, but are not rigorously formal languages themselves.

Programming languages, in contrast, are constructed and vary much more in their designs. They are formal languages, making them closer to math than spoken language. LLMs being able to describe concepts more thoroughly and precisely through more expressive semantics obviously makes some languages more suitable than others.

The type system of a language is just one aspect of it that allows the language to provide guarantees to the LLM (and the user) about correctness of the code it's writing.

I am not speaking about specific types in specific programs. I am talking about the ability to describe complex constraints that LLMs (and humans) end up using to make writing correct code easier and more productive. Some programming languages absolutely are more effective at this than others, and that's always been true even before LLMs.