Qiushi Issue 15 frames open-weight AI as a boon for the world; The Economist analyzes China’s superior AI efficiency; Foreign Policy says US is betting the house on AI race; TechCrunch/AISI reports open-weight models catching frontier; Washington Post says Washington mobilizing against Chinese AI threat.
治理结构的选择取决于交易的性质——威廉姆森的 L1-L4 治理层级框架，是解剖开源社区为何不能套用科层制的最锋利的手术刀。
Hugging Face CEO declares China is winning the AI race due to open model culture; Chinese media amplifies the narrative; Hugging Face Spring 2026 report confirms China surpassed US in open-source AI downloads.
制度不是外在于人的规则，而是在经济行为中不断被学习、重复与重塑的过程——这一演化视角，是理解开源制度如何自发生长的理论基石。
Taiwan’s hardware giants launch TAIONE foundation to claim open-source AI governance; Chinese AI IPO rush accelerates with DeepSeek and Moonshot; US lead over China in AI disappears; the social costs of AI deployment in China come into focus; DeepSeek pauses $71B funding round after founder’s viral comments; China creates world’s first AI agent regulatory framework.
Chandler 的失败告诉我们：开源的成功有其偶然，而开源的失败却有共同的规律。这是极少数认真研究「开源为什么会失败」的书。
当经济学家用激励解释开源时，Coleman 走进黑客的田野——黑客不仅是程序员，更是将自由、透明与审美合一的道德共同体。
Gehring 是第一个用新制度经济学框架系统分析开源的人：吸引 IBM 等巨头拥抱开源的，不是软件免费，而是它的制度框架。
State media consolidates open-weight AI success narrative; openEuler Hong Kong User Group launches with 22 members; West debates slowing AI as China builds parallel governance; the open-weight dilemma emerges.