Core Viewpoint - The article discusses the significant updates to AutoGLM, particularly its capabilities as a universal mobile agent that can efficiently perform tasks across multiple applications on cloud-based devices, enhancing user experience and productivity in daily tasks [1][2][4]. Group 1: Update Highlights - The primary update focuses on the agent's ability to operate on cloud phones, providing stable and efficient performance for various tasks [3][4]. - AutoGLM can control both computers and mobile devices, allowing users to issue tasks from any platform, including iOS, Android, and web browsers [4][24]. - The agent can execute automated tasks across applications, with a forthcoming feature for "scheduled tasks" [4]. Group 2: Task Execution Examples - AutoGLM can streamline complex tasks, such as planning a date in Beijing by searching for restaurants and calculating travel times across multiple apps, significantly reducing the time spent on these activities [7][10]. - The agent can assist in comparing prices for products like drones on different e-commerce platforms, providing detailed results and recommendations based on user preferences [11][14]. - It can also help users manage social media content by searching for trending topics and summarizing information for posts, showcasing its advanced content organization capabilities [16][17]. Group 3: User Accessibility - AutoGLM is particularly beneficial for elderly and disabled users, simplifying the interaction with complex mobile applications and enabling them to access content more easily [19][21]. - The agent's ability to navigate and filter information effectively addresses the challenges faced by users unfamiliar with mobile app interfaces [21][22]. Group 4: Market Implications - The expansion of mobile agent capabilities is seen as a strategic move to cater to the unique needs of the domestic market, where mobile usage is predominant [22][24]. - The integration of cloud technology with mobile agents is expected to enhance user engagement and extend the time spent on content consumption, addressing the limitations of traditional attention economy models [24][26]. - The article emphasizes the need for collaboration between AI companies and internet giants to create a secure and stable environment for mobile agents, highlighting the potential for these agents to generate value independently [26].
手机“自动驾驶”时代来了,智谱还让手机拥有“云替身”
歸藏的AI工具箱·2025-08-20 08:54