智谱重磅开源，AI手机有新进展

Core Viewpoint - The article discusses the launch of AutoGLM by Zhipu Huazhang, which is claimed to be the world's first AI Agent with "Phone Use" capabilities, aiming to create a public foundation for the industry while ensuring data privacy remains with the user [1][5]. Group 1: AutoGLM and Its Features - AutoGLM has been open-sourced, showcasing capabilities such as sending mobile red packets and placing food orders, similar to functionalities demonstrated by other smartphone manufacturers [5][6]. - The model supports over 50 high-frequency applications, including WeChat, Taobao, and Douyin, and aims to transform Phone Use capabilities into a shared industry resource [6][7]. - The rapid evolution of domestic open-source large models is a key driver for the deployment of AI capabilities on mobile devices, enhancing data security for users [6][7]. Group 2: Industry Challenges - Despite advancements, the implementation of AI capabilities in smartphones faces legal challenges, particularly regarding cross-application automation and compliance with existing standards [9][10]. - The current regulatory framework does not adequately support the demand for AI to perform multi-application tasks, leading to a "standard vacuum" that hinders practical functionality [9][10]. - Industry stakeholders must collaborate to establish clear standards and address data security concerns to facilitate the development of AI capabilities in smartphones [10][12]. Group 3: Industry Dynamics and Future Outlook - The trend towards AI Agentization in smartphones is seen as irreversible, but the industry must focus on iterative improvements in user interface operations and practical problem-solving [12]. - Companies like ZTE and Doubao are exploring partnerships to enhance user experience through open collaboration, reflecting a broader trend of software companies entering hardware markets [11][12]. - The article emphasizes the need for all parties in the AI smartphone ecosystem to engage in discussions to refine compliance standards and drive the industry towards a more advanced stage of intelligent devices [12].