PyTorch had the "first thing that didn't suck" advantage and now it has a completely dominant marketshare that prevents better alternatives from emerging. Where it sucks (e.g. on macOS) there are popular alternatives. But it's hard to be enthusiastic about a DL framework in 2025 which does not have native high performance quantization support, for example. Or one where FSDP is crudely bolted onto the side. They say "usability above all else", but I consider such things to be major usability deficiencies, which need to be addressed. But because PyTorch does not have to fight for marketshare, it'll be years before we see anything usable there.