
Group 1 - The Inclusion Bund Conference on September 11, 2025, focused on commercialization as a primary concern for AI entrepreneurs, scholars, and investors [1][3] - Zhu Xiaohu, a partner at Jinsha River Venture Capital, advised entrepreneurs to prioritize stable technologies over cutting-edge ones for commercialization [1][3] - User retention is emphasized as the key metric for evaluating AI applications, rather than annual recurring revenue (ARR) [3][16] Group 2 - Zhu Xiaohu identified that low-code and no-code AI applications are likely to be replaced by AI, leading to a decrease in demand for collaborative tools like Figma [10][15] - The need for smaller, efficient organizations in AI companies was highlighted, with a focus on maintaining high "intelligence density" [5][29] - Wang Xingxing, CEO of Yushu Technology, noted that the AI field is still in its early stages, with significant growth potential yet to be realized [24][29] Group 3 - Wang Jian, founder of Alibaba Cloud, stressed the importance of open resources (data and computing resources) over just open-source code for advancing AI applications [42][50] - The shift from open-source code to open resources is seen as a revolutionary change in the AI landscape, particularly following recent developments in model training and deployment [43][49] - The conference participants agreed that the AI era allows small teams to achieve significant outcomes, challenging traditional notions of team size and efficiency [29][40]