Core Viewpoint - The open-sourcing of AutoGLM by Zhipu AI marks a significant shift in the mobile industry, enabling the creation of AI agents that can operate smartphones similarly to human users, thus democratizing access to advanced AI technology [4][9][19]. Group 1: Open-Sourcing of AutoGLM - Zhipu AI has officially open-sourced its core AI Agent model, AutoGLM, which has been in development for 32 months and possesses the capability to operate mobile devices [1][4]. - The open-sourcing is seen as a "table-turning" move, allowing hardware manufacturers and developers to create personalized AI assistants that can interact with various applications [4][9]. - AutoGLM supports over 50 high-frequency Chinese applications, enabling automated operations similar to the recently launched "Doubao phone" [4][8]. Group 2: Industry Context and Reactions - The announcement comes after the launch of the "Doubao phone" by ByteDance and Nubia, which caused significant disruption in the tech industry and prompted major companies to implement defensive measures against its capabilities [6][8]. - The "Doubao phone" was able to perform complex tasks across applications, leading to a swift market response and concerns over privacy and data control from major internet companies [8][9]. Group 3: Technical Innovations - AutoGLM's development involved creating a framework that allows AI to understand and interact with mobile interfaces, marking a significant evolution from previous systems [12][15]. - The model utilizes Android Debug Bridge (ADB) commands combined with visual models to perform human-like operations, making it difficult for app developers to implement effective defenses [15][18]. - Zhipu AI has addressed privacy concerns by allowing data to remain on the user's device, thus countering arguments from major companies about potential data breaches [18]. Group 4: Implications for the Mobile Industry - The open-sourcing of AutoGLM is expected to reshape the mobile industry, similar to how autonomous driving has transformed the automotive sector, providing a new competitive edge for hardware manufacturers [20]. - Major internet companies face challenges as users can bypass traditional app interfaces, potentially disrupting their established flow of traffic and revenue [23]. - Individual developers are empowered to create specialized AI agents, leading to a more diverse ecosystem of applications and services [24]. Group 5: Conclusion - The open-sourcing of AutoGLM signifies a fundamental shift in user and developer control over mobile technology, indicating the decline of closed ecosystems and the rise of a new era in intelligent mobile interactions [28].