Core Insights - China's open-source AI ecosystem is rapidly evolving, showcasing technological confidence and creating a path for global collaboration, contrasting with the closed-source approach prevalent in the U.S. [1][6][8] Group 1: Open-Source Development in China - DeepSeek and other foundational models like Alibaba's Qwen are driving the advancement of China's open-source capabilities, leading to the emergence of smaller, more powerful vertical models from various SMEs [1][4] - The launch of models like Skywork-OR1 by Kunlun Wanwei demonstrates that even companies with limited funding can achieve state-of-the-art (SOTA) performance by leveraging existing open-source models [4][5] - The rapid iteration of large models in China, such as Alibaba's Qwen2.5-VL and the multi-modal models from Jiepu, indicates a thriving open-source ecosystem [5][6] Group 2: Comparison with U.S. AI Strategy - The U.S. AI industry remains predominantly closed-source, driven by major tech companies and venture capitalists seeking high returns, which fosters a monopolistic environment [6][8] - OpenAI's shift to a closed-source model, particularly after its partnership with Microsoft, highlights the commercial motivations behind this strategy [7][8] - In contrast, China's top-down approach emphasizes open-source development as a means to enhance technological equity and industry collaboration [8][9] Group 3: Economic and Social Implications - The Chinese government has actively supported open-source initiatives, recognizing their potential to lower technological barriers and promote economic integration [8][9] - Investments in open-source projects, such as the Z Fund's commitment to support AI open-source communities, reflect a broader strategy to foster innovation [9][10] - The open-source movement in China is not only about providing free products but also about enabling developers to build upon existing technologies, thus accelerating progress [5][10] Group 4: Practical Applications and Success Stories - Open-source models are being successfully implemented in various industrial applications, such as predictive maintenance in manufacturing and environmental conservation efforts [13][14] - Companies like Baosteel and Zhongmei Kegong are utilizing open-source models to enhance operational efficiency and reduce costs [13][14] - The collaborative nature of open-source development allows for broader participation in AI projects, benefiting both commercial and non-profit sectors [14][15] Group 5: Future Outlook - China's open-source AI landscape is transitioning from a phase of "technological following" to "ecosystem leadership," reshaping the global AI landscape [18][20] - The focus is shifting from mere parameter competition to the deep integration of AI technology with the real economy, indicating a strategic evolution in the industry [18][20]

3 万字全文翻译，被披露的不只是内斗。 文丨贺乾明 翻译、校对丨GPT-4o、Claude-3.5-Sonnet、贺乾明 编辑丨 黄俊杰 "创业公司的内部全都是车祸现场。只是有的你能在媒体上看到，有的看不到。" 山姆·阿尔特曼（Sam Altman）的导师，硅谷孵化器 YC 创始人保罗·格雷厄姆 曾这么总结他看过的千百家创业公司。 得益于阿尔特曼和特斯拉 CEO 埃隆·马斯克的争斗和诉讼，现在我们也能看到 OpenAI 早年的真实样子。双方各自公布了数批共 75 封内部邮件以及短信记 录，时间跨度从 2015 年 OpenAI 筹备到 2019 年组建营利实体，展示了一群硅谷名流和天才 AI 研究者如何因为理想聚在一起，又如何随着 OpenAI 的发展争 权夺利。 这些长达 3 万多字的内部记录也像是一堂 OpenAI 出品的创业课，涉及这家全球最大的 AI 创业公司早期如何讲故事、组建精英阵容，到薪酬设计、股权分配 的方方面面；从低价与 Google 争夺人才到与微软谈判合作，甚至还包括曾考虑过的加密货币融资方案。而且，我们还能看到首席科学家伊利亚·苏茨克维 (Ilya Sutskever) 如何写双周报， ...