Core Insights - The current AI industry is at a strategic turning point, with a focus on practical AI tools rather than the distant concept of "super AGI" [1] - A collaboration has been established between Zhouming Technology, Zhiyu AI, and Lingyun Guang to create Shenzhen Zhixian Robotics Co., Ltd., with a registered capital of 50 million yuan [1] - Zhouming Technology's AI transformation will concentrate on customized industry models and applications, targeting vertical fields such as education, healthcare, and security [1] Group 1 - Zhouming Technology's Vice President described the collaboration as combining a "super brain" (Zhiyu), "eyes" (Yuan Keshijie), and "body" (Zhouming) to upgrade display terminals from mere information carriers to intelligent entities [2] - The joint venture aims to provide an integrated solution of "algorithm models + hardware terminals + perceptual interaction," supporting the full chain from model training to hardware integration [2] - The focus for B-end clients is on the applicability of AI solutions rather than the strength of the models, emphasizing the need for industry-specific data and targeted model development [2] Group 2 - Zhouming Technology aims to develop deep vertical AI rather than broad general AI, requiring integration with clients' business knowledge to generate industry-specific content [3] - The company's screens serve as central terminals for data accumulation, allowing for precise matching of B-end and G-end needs [3] - Zhouming is also building capabilities for C-end markets, planning to establish joint ventures with companies that have C-end expertise [3] Group 3 - The AI business has become a significant growth driver for Zhouming, with recent AI revenue surpassing the total from the previous year, indicating a successful transition [3] - AI solutions offer higher profit margins compared to traditional screen sales, helping Zhouming navigate the competitive price war in the traditional screen market [3] - The key to AI commercialization is understanding industry pain points and ensuring that technology is grounded in real-world applications [4]