开源 AI 与开放模型阅读清单
原标题：Open-Source AI & Open Models Reading List
AI 摘要
Interconnects AI 作者 Nathan Lambert 发布并持续更新一份关于开源 AI 与开放模型的阅读清单，汇总近几年的代表性文章。清单按基础概念、中美竞争、技术细节等主题组织，涵盖开放模型的定义、发布动机、商业战略、安全风险、数据缩减以及中国模型（如 Kimi K3、GLM-5.2）对生态的影响。文中还提到西方公司采用中国模型引发监管关注，以及开放与闭源模型差距已缩小至约 4-6 个月。
正文节选
List last updated: 11 Sep. 2026 This is my list of the best writing on open models in the last few years. If someone decides they want to get up to speed on the area, reading this will be a comprehensive overview of the state of affairs. Please comment pieces to consider adding below, and I’ll update this over time. Foundation What open models are, why people release them, how they relate to business strategy, and what the risks are. - On open source AI strategy, a walkthrough of how open-source