ML ecosystem tends to be very open source, true, LLMs a bit less so.
So far there are only a few useful open source models (mostly courtesy of Chinese companies), otherwise a lot of the models are either hidden behind paid APIs or falsely marketed as open source but come attached with terms and conditions, use policies, forbidden uses, requires signing agreements upfront and so on.
There is Gemma from Google and various niche models as well. I have not tried to measure exact amount of Chinese vs other, but I guess it is not mainly Chinese.
Not even Google calls Gemma "open source", nor would anyone with knowledge of "open source" call those models that. If something requires signing an agreement before downloading and/or have a list of prohibited use cases, it's most likely not open source.
"AI" bs generator is not just the code, it is not reproducible without the training set.
Also the "AI" software is not something that is not possible to use on machine with 100% open-sourced environment: the newest CPU supporting open-source BIOS is 3rd generation of Intel and such an ancient hardware is not able to run it.
So, that kind of LGPB+/Climate Justice/with using artificial intelligence disservices being forced to people are very not open-source. Indeed they are very commercialized.
I've been doing a thought experiment on what it would take to refuse to ingest any non public domain or creative commons licensed content. If one wanted to opt out of commercial entertainment, how hard would that be?
This gets complicated pretty quickly, because so much IP is implicitly granted, and poorly labeled.
