I like that idea for a lot of applications (I also like the python "multiprocessing" library, other languages could learn a thing or two from it, and it really

I like that idea for a lot of applications (I also like the python "multiprocessing" library, other languages could learn a thing or two from it, and it really takes the sting out of the GIL). But I don't see it working well for something like numpy or PyTorch which are sharing arbitrary memory between Python and native and calling back and forth at a very high frequency. PyTorch and the neural net implementations built on it are the whole reason I'm using Python at all. If the answer was "build the native extensions you need for PyTorch/etc into the Python binary" that would be fine too, I have no love for dynamic library loading. But I don't see the PyTorch team going out of their way to change anything about their build process or runtime to work with Cosmopolitan, as much as I wish they would, so my guess is I won't be able to use Cosmopolitan Python for the foreseeable future.