When hosted by a third-party provider like Microsoft, Chinese open weight models can be used without any data traveling to China, and the creator has no idea the model is being used.
CJ explains that when you access Chinese open weight models via services like Microsoft Foundry, your data only travels between you and the hosting provider, not to China. Since a model is just a standalone file, the original creator has no way of knowing it's being used once handed off. ✦ AI generated
CJ · Syntax · 2026-07-30 · original ↗
starts at this moment · 10:18
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 examples of this is Microsoft Foundry. They actually give you API access to many different open weight models when you sign up for their service. And so if you go to ai.azure.com, you actually can get access to GLM 5.2 or Kimmy K 2.5, 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 stand-alone 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 10:18
10:18this scenario, the restaurant or the chef isn't necessarily in 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
10:38users and applications. And one of the biggest examples of this is Microsoft Foundry. They actually give you API access to many different open weight models when you sign up for their service. And so if you go to ai.azure.com, you actually can get access to GLM 5.2 or Kimmy [music] K 2.5, which are all models that were created by Chinese labs. But when you're interacting with those models, none of
10:59your 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 stand-alone file. It's not connected to the internet. So when that model is being
11:21run 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 At 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, [music] and then when you get home, you cook it
11:41yourself. But, because you're in full control, you can improvise. You can add more ingredients, you can skip ingredients, you 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 third-party provider like Microsoft, you can actually fine-tune them. That is, tweak the numbers inside of them to make it