混沌AI院城市学习中心招募：AI创新星火，由你点燃

Core Viewpoint - The article emphasizes the importance of localized AI innovation in regional economies, highlighting the need for collaboration and resource integration to overcome challenges faced by businesses in less developed areas [3][5][19]. Group 1: Last Mile Challenges in Regional AI - The article identifies that while AI technology is advancing in major cities, regional innovators face unique challenges, such as the inability to implement AI quality inspection in manufacturing and long response times for smart irrigation solutions [3]. - It points out that one-size-fits-all solutions from major cities do not address the specific needs of regional businesses, leading to resource isolation and a lack of strategic connections [3]. Group 2: Role of Co-Builders - The article describes co-builders as local scene incubators and resource weavers who ignite innovation in their hometowns, rather than traditional instructors [5]. - It outlines a "chaos innovation four-step method" to match local business transformation needs and emphasizes the importance of integrating local practices into a national case library [5]. Group 3: Ecosystem Network Benefits - The article presents the ecosystem network as a lifelong access pass, promoting collaboration over hierarchical structures, and emphasizes the collective resonance of innovation in the AI era [7]. - It highlights the availability of a comprehensive innovation methodology, a vast case library, and a supportive community of entrepreneurs to facilitate practical implementation [7]. Group 4: New Cities Awaiting Innovators - The article lists 24 cities, including Hong Kong, Qingdao, and Urumqi, that are poised for innovation and collaboration, emphasizing principles of non-exclusive authorization and cross-city cooperation [9]. Group 5: Learning Centers and Community Building - The article discusses the establishment of learning centers in cities like Harbin, Qingdao, and Tianjin, which aim to explore real-world AI applications in collaboration with local businesses [15]. - It outlines a two-month co-learning program focused on AI innovation and practical business case simulations [12]. Group 6: Call for Participation - The article invites individuals who are long-term visionaries and willing to engage in regional transformation to join the initiative, emphasizing the need for both technical and business acumen [18]. - It stresses that the success of AI innovation relies on collaboration and the integration of innovative practices into local economies [22][23].