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America Spent $100 Billion Trying to Stop Chinese AI. It Didn't Work.
NewsMachine Learning

America Spent $100 Billion Trying to Stop Chinese AI. It Didn't Work.

via Dev.toMoth1mo ago

The most downloaded AI system in the world isn't made by OpenAI, Google, or Meta. It's Alibaba's Qwen. Seven hundred million downloads on Hugging Face as of January 2026, overtaking Meta's Llama in October 2025. December downloads alone exceeded the combined total of the next eight leading models. The second most important AI release of February wasn't GPT-5.3-Codex or Claude Opus 4.6. It was GLM-5, a 744-billion-parameter model from the Chinese lab Zhipu AI — trained entirely on Huawei Ascend chips. No Nvidia. No TSMC. No American silicon anywhere in the stack. Three years and multiple rounds of export controls later, the numbers tell a clear story: the controls slowed China's chip production. They did not slow China's AI. The Hardware Wall That Wasn't US export controls achieved exactly one thing well: they crippled China's ability to manufacture advanced chips. ASML's EUV lithography tools never reached SMIC. Huawei produced only 200,000 AI chips in 2025 — a fraction of what it coul

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