ML needs a new programming language – Interview with Chris Lattner

When I was young, I enjoyed messing around with new languages, but as time went on, I realized that there is really very little to be gained through new languages that can not be obtained through a new library, without the massive downside of throwing away most of the ecosystem due to incompatibility. Also, CuPy, Triton and Numba already exist right now and are somewhat mature, at least compared to Mojo.

Usually people create languages to address issues that cannot be addressed by a library because they have different semantics on a deeper level.

Like, Rust could not be a C++ library, that does not make sense. Zig could not be a C library. Julia could not be a Python library.

There is some superficial level of abstraction where all programming languages do is interchangeable computation and therefore everything can be achieved in every language. But that superficial sameness doesn't correspond to the reality of programming.