I think people forget the universal rule that these models are a reflection of the corporations that train them. Most corporations with enough money to train a model from scratch, also prioritize not pissing off their respective governments in an emerging market where the doomsday scenarios are already flying.
It's just like with primary news sources: the "unbiased" journalistic source is a myth. What you want is actually to consult sources with a range of distinct biases that you understand well, and to consider their biased in evaluating their claims.
The same is true for language models. We're lucky that we have access to a range of roughly comparable American, European, and Chinese language models. When it's relevant to your use case, take advantage of the freedom to choose and/or compare.
