Because lower prices with closed weights would be severely compute constrained which would tightly cap the damage to american firms. As it is there's a plethora of providers (many of them american) serving up the cheap open weight models. Even tightly regulated industries with security concerns can use the latest deepseek.
It also enables further R&D using the open models as a starting point. That doesn't benefit china directly but it does serve to further undermine the lead that the american frontier labs have which limits their future ability to cut geopolitical adversaries off. In that sense it provides a long term hedge by minimizing the damage in the worst case scenario where china ends up suffering a crushing defeat in the AI race for whatever reason.
> Even tightly regulated industries with security concerns can use the latest deepseek.
That is not necessarily true, as "tightly regulated industries with security concerns" are also afraid of deepseek models generating vulnerable code. Even a possibility of that prevents those industries from deployments.
> That doesn't benefit china directly but it does serve to further undermine the lead that the american frontier labs have which limits their future ability to cut geopolitical adversaries off.
So, basically, competition is bad for US models? That argument doesn't address open-weights. And it doesn't work the other way around, because in that case China should be releasing close-weights instead.