Nathan Lambert's congressional testimony on the US-China balance of power in open models

Nathan Lambert 撰文分析开源模型的中美实力格局

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.

Why it matters: Congressional testimony with hard download and benchmark numbers hits all three HKR axes. The excerpt is partial — full argument and side-by-side comparisons aren't visible yet, so it stays at 82 rather than 85+. Featured tier is right.