Test, Standardize, Restrict: A U.S. Policy for Chinese AI Models

Ah, marvellous. Another week, another trans-Pacific panic over an open-weights model, and this time the Americans have responded with a policy framework that sounds like a Quality Assurance checklist from a particularly anxious tech giant: Test, Standardize, Restrict. The Just Security crowd wants to run Moonshot's Kimi K3 through the full gauntlet before it's allowed anywhere near US infrastructure — as if the model hasn't already been downloaded, copied, and fine-tuned into fifty thousand homemade variants by the time the first working group convenes. Kimi K3 boasts "sophisticated coding capabilities" and open weights, which in practice means every grad student and state actor with a GPU now owns a piece of Chinese frontier tech.

And who rides to the defence of this glorious open-source free-for-all? None other than Nvidia's Jensen Huang, whose company happens to sell the very GPUs that make running these models possible. "Open-source models that are excellent should be used," he said, striking the exact tone of a man who has calculated that every Chinese model deployed is another box of accelerators sold. Never mind that the same open weights that let a researcher in Berkeley inspect the model also let a threat actor in Tehran fingerprint its vulnerabilities; the Nvidia chief has spoken, and the revenue forecasts are glowing.

The tragedy is that "test, standardize, restrict" is probably the most sensible thing any US regulator has proposed since the phrase "move fast and break things" stopped being a joke. But it's a plan drawn up in the language of a world that no longer exists — a world where a model release is an event you can gatekeep, rather than a torrent that's already seeded. So by all means, test Kimi K3, standardize its evaluation, restrict its distribution. By the time the policy lands, the weights will have been baked into everything from startup codebases to state-sponsored toolkits, and Jensen will have moved on to selling the next generation of chips. Cheers to that — someone's making money, at least.