Artificial intelligence is reshaping the global technological landscape at an unprecedented pace, with open source serving as the core engine driving AI innovation and democratization. Yet beneath this prosperity lie profound challenges: while generative AI significantly boosts individual developer productivity, it simultaneously erodes the collaborative culture essential to open source communities; meanwhile, the explosive growth of open-source large models has triggered new issues like license conflicts and lagging governance frameworks. Drawing on key insights from the 2025 China Open Source Annual Report, this talk systematically analyzes the current state, key drivers, and structural bottlenecks of China’s open-source AI ecosystem. It addresses a fundamental question for the AI-native era: how to redesign collaboration mechanisms to ensure open source remains not just “code publication,” but genuine “collaboration in action.” The presentation will focus on building future-oriented governance frameworks for open-source AI, advocating for the inclusion of large models and other novel artifacts into the global public goods system, and exploring how standards, contribution evaluation, and community practices can bridge national strategies, industrial needs, and global open-source governance—to provide actionable pathways for deepening the “Community Over Code” ethos in the age of AI.

Speakers:

Wei Wang: Professor of East China Normal University

Wang Wei, currently a professor at the School of Data Science and Engineering, East China Normal University, X-lab open laboratory founder. Outstanding member of CCF, member of CCF Open Source Development Committee, person in charge of open source governance series standards of China Electronics Standardization Institute, member of Mulan Open Source Community Technical Committee, director of Open Source Club. His research interests is open source development ecology.