Fudan public course weighs AI open source as a business and knowledge institution
The 122nd session of the Fudan Finance public course, reported by Fudan Finance Review, hosted a dialogue on how open-source models affect business, the economy and society, with Wei Shangjin moderating, Tsinghua University's Xie Danxia speaking and Fuzhou Foreign Languages and Trade University's Liu Chu joining. Xie framed open source as a "knowledge institution" akin to patents and copyrights, with openness, sharing, collaboration and inclusion as its four principles, and listed technical support subscriptions, dual licensing, open core, hosting services and hardware bundles as monetization paths. Participants noted that open weights do not require free labor, citing DeepSeek, Meta's Llama, OpenAI and Anthropic as contrasting strategies, and debated when a startup should open, how openness affects employment across skill levels, and whether Chinese and US model development mutually reinforce each other.
The session offers a structured academic framing of how AI open-source strategies generate revenue and shape competition, employment and cross-border technology diffusion, but it is a single reported course and its quantitative claims remain unverified.

■主持人:魏尚进复旦大学国际金融学院学术访问教授、哥伦比亚大学终身讲席教授、亚洲开发银行前首席经济学家■主讲人:谢丹夏清华大学社会科学学院博士生导师、人本健康经济发展研究中心主任■对话嘉宾:刘楚福州外语外贸学院金融学院副教授当技术领先的“诸葛亮”遇上开源社区协作的“臭皮匠”,企业靠什么赚钱,普通人的工作与生活......
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■主持人:魏尚进复旦大学国际金融学院学术访问教授、哥伦比亚大学终身讲席教授、亚洲开发银行前首席经济学家
■主讲人:谢丹夏清华大学社会科学学院博士生导师、人本健康经济发展研究中心主任
#DeepSeek#Meta#Llama#OpenAI#Anthropic#NVIDIA#Alibaba#Qwen#Google#Tsinghua University#Fudan University#Microsoft