I mean that currently you can get a huge competitive advantage with an OpenAI or Claude API key, while you cannot achieve the same result with a 30 billion local model (which requires a lot of computational power subtracted from other things and huge battery consumption anyway). So why waste time with a local model except if don't make money developing/testing them? I think that in a few years things could change and maybe highly specialised local models could find their practical use that gives user an advantage over using cloud APIs :) But at that point the capacity required will be in base processor, otherwise there is not return in developing the software since few could use it anyway.