I don’t think they are missing the point. These abstractions are far from perfect and trying to hunt down why something is not performing and tracing it back to how syntax is being interpreted as data is stored (GPU memory vs system memory vs sent over the pcie bus) or passed between other glue code is a source of frustration I’m sure many people have experienced.

It will take a lot for another language eco system to catch-up to something as broad and deep as python but these issues combined with the horrible experience that is dependency management with pure python vs compiled etc as well as the need for real-time/close to real-time systems, it seems very plausible that something like Julia or other llvm language will become the default over python for _these specific_ use cases, not in general though. Tooling on top of Julia can likely be far better and more easily made than living in python which is another aspect.