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The same could be said of any LLM offered by either Chinese, European, US, etc.

On the other hand at least you can self host their models. My university now has an inference cluster for students and faculty to use open source models.

Maybe if you're using their site directly, but what about the open models?

Well, not using the site probably means that you're avoiding the mini-LLMs powdered before and after the main LLM to provide filters (including some layers of censorship) and the system prompt.

So I guess it depends on how deep the bias sits. And that is something that may vary with time. Grok has been a good example of this, with the bias initially being introduced as system prompts, then apparently moved to synthetic data used to train the further generations of Grok.

Ok, good points. Thanks