The thing with chinese models for the most part is that they are open weights so it depends on if somebody is using their api or not.

Sure, maybe something like this can happen if you use the deepseek api directly which could have chinese servers but that is a really long strech but to give the benefit of doubt, maybe

but your point becomes moot if somebody is hosting their own models. I have heard glm 4.6 is really good comparable to sonnet and can definitely be used as a cheaper model for some stuff, currently I think that the best way might be to use something like claude 4 or gpt 5 codex or something to generate a detailed plan and then execute it using the glm 4.6 model preferably by using american datacenter providers if you are worried about chinese models without really worrying about atleast this tangent and getting things done at a cheaper cost too

I think "open weights" is giving far too much providence to the idea that it means that how they work or have been trained is easily inspectable.

We can barely comprehend binary firmware blobs, it's an area of active research to even figure out how LLMs are working.

Agreed. I am more excited about completely open source models like how OlMoe does.

Atleast then things could be audited or if I as a nation lets say am worried about that they might make my software more vulnerable or something then I as a nation or any corporation as well really could also pay to audit or independently audit as well.

I hope that things like glm 4.6 or any AI model could be released open source. There was an AI model recently which completley dropped open source and its whole data was like 70Trillion or something and it became the largest open source model iirc.

A backdoor would still be highly auditable in a number of ways even if inspecting the weights isn't viable.

There's no possibility for obfuscation or remote execution like other attack vectors

I was actually thinking of the American models ;)