The reason Chinese companies are making open models is very simple actually, and has fuck all to do with charity. LLMs are a form of a general commodity, and it's not a viable business model to monetize them directly. Trying to compete on model quality is a race to the bottom. Anything one lab can do, others can figure out a few months later. So, you have to keep investing more and more money just to keep ahead. Chinese companies realized this early, and that's why they release the model in the open, aiming for the high end of the value chain building customized services and integrations tha capture the market. My expectation is that LLMs will become like Linux where nobody really makes any money off the tech directly. But you'll see platforms like AWS built on top of it.
Also, not sure what the rationale for companies releasing open models would be to trigger some unspecified poisoning in a coding model. Like what exactly is it gonna do when running locally?
Meanwhile, you absolutely can inspect the weights and there are now plenty of tools for doing just that. It's an active area of research, but these things aren't black boxes people make them out to be.
Finally, there are completely open models as well with training data, and source released in the open. None of them are frontier quality, but they are certainly a starting point.
There also projects like petals for doing distributed training. There's absolutely no reason why you can't have something like SETI@home for training models on a network. This is what people should be putting their energy into instead of whinging endlessly, as if OpenAI or Anthropic give a flying fuck that some brave lib made yet another 'AI slop' comment on a niche social media platform.