The real risk is non auditability of open weight models (chinese or not). Open weight llms are not open source in the traditional sense - the "open" model is technically a bunch of matrices and numbers. Any hidden attack vectors even in open models is non discoverable, even if such a model operates in your own air gapped network. This applies to all models, open or closed. The extent of risk is measured by the history/behavior/laws of the place of origin.
This is a known problem and research is being done to solve it. But theres no solution yet. Thats the real risk (from a sovereign perspective) of open models. Its well documented in technical ai circles.
Cheap AI from China could be pushed out of reach by politics. Washington accuses Moonshot of siphoning off Anthropic's Fable and is floating restrictions on Kimi K3 and DeepSeek. Nothing has been decided, and the evidence is missing. What the agencies actually measured, and what it means for your access.
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