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When you access Chinese open-weight models through a third-party host like Microsoft Foundry, your data never travels to China — the creator has no idea you're using their model.

CJ clarifies that running Chinese open-weight models on US infrastructure like Microsoft Foundry means no data goes to China and the original lab is unaware of usage. ✦ AI generated

CJ · Syntax · 2026-07-30 · original ↗

starts at this moment · 10:41

If you go to ai.azure.com, you actually can get access to GLM5.2 or Kimmy K2.5, which are all models that were created by Chinese labs. But when you're interacting with those models, none of your data is actually traveling to China. Your data is only traveling between you and Microsoft or whatever company is hosting these open-weight models. And when you access models in this way, the creator of that model has no idea that you're even interacting with that model. Like we talked about earlier in the video, a model is just a standalone file. It's not connected to the internet. So when that model is being run by Microsoft, the AI lab in China that created it has no idea that they're actually running their model. They basically handed it off. And now at that point, Microsoft is in full control.

verbatim transcript · starts at 10:41

Transcript · around this moment

10:21in control of what you do once you get the ingredients, but they have controlled the experience up to that point. And this is much closer to the idea of open weight models. Some AI labs make it so that other companies and people can take that model and then run it on their own systems and then they provide API access to end users and applications. And one of the biggest

10:41examples of this is Microsoft Foundry. They actually give you API access to many different openweight models when you sign up for their service. And so if you go to ai.asure.com, you actually can get access to GLM5.2 or Kimmy K2.5, which are all models that were created by Chinese labs. But when you're interacting with those models, none of your data is actually traveling to China. Your data is only traveling

11:03between you and Microsoft or whatever company is hosting these openweight models. And when you access models in this way, the creator of that model has no idea that you're even interacting with that model. Like we talked about earlier in the video, a model is just a standalone file. It's not connected to the internet. So when that model is being run by Microsoft, the AI lab in China that created it has no idea that

11:26they're actually running their model. They basically handed it off. And now at that point, Microsoft is in full control. Now, one of the last ways you might get your food is through home cooking. You pick out your recipes, then you source all the ingredients, and then when you get home, you cook it yourself. But because you're in full control, you can improvise. You can add more ingredients, you can skip ingredients,

11:47you can change the portion size. You're completely in control. And this is one of the other things that open weight models give you. Not only can we run them ourselves or access them via some thirdparty provider like Microsoft, you can actually fine-tune them. That is tweak the numbers inside of them to make it more purpose-built for what you're trying to do. And we actually see a lot

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