Nathan Lambert Congressional testimony: Chinese open-weight models lead US by 18 months
What happened
Nathan Lambert 在国会简报中直言，中国开源模型在下载量和能力上都压过美国一头。Hugging Face 上中国模型总下载量达 32 亿次，是美国的两倍，自 2025 年 7 月起就持续领先。在 AAII 基准测试里，智谱的 GLM-5.3 和月之暗面的 Kimi K3 得分在 42 到 45 分，而美国最强的 Thinking Machi...
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Nathan Lambert told Congress that Chinese open-weight models have led the US for about 18 months. China's models have 3.2B Hugging Face downloads, double the US total. On the AAII benchmark, Z.ai's GLM-5.3 and Moonshot AI's Kimi K3 score 42–45, while the top US model, Thinking Machines' Inkling, scores 26. Chinese open models trail the closed frontier by 2–5 months; US open models lag by 6–9 months. Lambert also clarified the open-weight vs. true open-source distinction, noting US nonprofits like Allen AI still lead in fully reproducible releases.