Casey Newton argued that the best Chinese AI models are essentially distillations of American frontier models, meaning they are always at least somewhat behind the frontier.
Snapshot · Hard Fork
Casey Newton argued that the best Chinese AI models are essentially distillations of American frontier models, meaning they are always at least somewhat behind the frontier.
Where this was said
At 18:21 · chapter starts 15:40
Kevin introduces the China subplot: Chinese model GLM 5.2 has been generating headlines claiming it rivals US frontier models, and some argue that restricting American AI while these alternatives proliferate could backfire. Casey is skeptical, calling the Chinese-catching-up narrative 'basically BS' and a lobbying tactic — the best Chinese models are distillations of American chatbots, making them derivative by design and always a step behind. [1] — Casey Newton "Chinese AI companies have been building competitive models by distilling the outputs of American frontier chatbots. This structural depende…" 16:58 Kevin accepts this structurally but notes two real concerns: distillation timelines could compress (9 months behind today, maybe 3 months tomorrow), and American enterprises already rattled by the Fable ban are seriously evaluating open-source Chinese alternatives — not because they're as good, but because they can't be yanked by the government overnight. Casey draws a parallel to tariff instability undermining US commercial relationships, suggesting the LLM-restriction-of-the-day is having similar economic effects.
Chinese AI companies have been building competitive models by distilling the outputs of American frontier chatbots. This structural dependency means the best Chinese models are perpetually at least a step behind the US frontier. Casey Newton frames the AI market as two systems: 'the frontier and everything else' — and argues Chinese models are firmly in the second category.
Kevin Roose spoke with an employee at a large American tech company who said their team is spending far more time with open-source Chinese models — not because they're as good as Fable or GPT-5.6, but because you can download and run them locally, and they can't be yanked by the US government without warning. Policy uncertainty is producing concrete commercial consequences.
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