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There is no obvious reason they couldn't just train one themselves, or merely steal existing weights given enough time.

That is precious time that can be used to work on alignment.

But alignment is always going to rely on cooperation of users though? What benefit does the delay offer other than the direct one of a delay?

Why is it going to rely on co-operation if users don't have the means to change the model enough to misalign it?

If we're talking about open-source LLMs, among the best embedding, multimodal, pure and coding LLMs are Chinese (attested and not just benchmarks).