Core Insights - The mobile industry is accelerating the development of AI agents, with Huawei investing 1 billion yuan in the "Tian Gong Plan" and Qualcomm collaborating with major Android manufacturers on the "AI Acceleration Plan" [1][2] - AI agents are becoming standard features in smartphones, enhancing ecosystem competition through integration with third-party apps and other AI agents [1][2] Group 1: AI Agent Development - Major Chinese smartphone manufacturers are transitioning from traditional voice assistants to AI agents with autonomous decision-making and execution capabilities [2][3] - Huawei's new Harmony AI Agent Framework (HMAF) aims to create a collaborative AI ecosystem where all agents work together, supported by a 1 billion yuan investment to enhance the AI ecosystem [2][3] - Honor's AI agent YOYO, based on the MagicGUI open-source model, has developed multi-modal AI perception and cross-application execution capabilities [3] Group 2: Industry Collaboration - Qualcomm, in partnership with GTI and major telecom operators, has launched the "AI Acceleration Plan" to expand edge intelligence applications across various devices [3] - The industry is strengthening collaboration across the supply chain to enhance the capabilities of AI agents and their integration into smartphones [3][6] Group 3: Challenges and Limitations - Current AI agents face challenges in practical usability and privacy protection, with limitations in accurately interpreting complex app interfaces [4][5] - Many AI agents can only perform basic tasks, often relying on "screen reading and simulated clicking" methods, which are seen as transitional solutions [4] - Privacy concerns arise from the need for AI agents to access personal data, leading to calls for user verification of AI actions to prevent errors [5] Group 4: Future Directions - The establishment of the "IIFAA Intelligent Agent Trusted Interconnection Working Group" aims to create industry standards for secure interactions between AI agents [6] - Future developments may see AI agents expanding from smartphones to tablets, PCs, and other devices, enhancing their functionality and integration [6] - Qualcomm emphasizes the need for innovative memory architectures and low-power processors to support the growing demands of AI agents [7]

Core Insights - AI glasses are viewed as the next generation of smart terminals following smartphones, with significant interest from major tech companies [1] - The "2025 Security of Terminal Intelligent Agents" white paper highlights privacy risks associated with smart glasses, emphasizing the need for security measures [1][3] - The evolution of AI agents is transforming various industries, leading to more proactive and human-like interactions [2][5] Group 1: Security Risks - The white paper identifies multiple layers of security risks for terminal intelligent agents, including device, data, model, cloud collaboration, interface, and business layer risks [7] - Specific risks include user identity, application identity, malicious prompt engineering, permission abuse, behavior inducement, and uncontrolled content generation [7] - The emergence of prompt injection attacks poses a significant threat to terminal intelligent agents, necessitating enhanced security measures [7] Group 2: Technological Advancements - AI agents are transitioning from traditional smart devices to more integrated, end-side intelligent agents that redefine user interaction [2][5] - Innovations such as gesture recognition and 3D semantic understanding are enhancing user experience in devices like Meta Quest 4 Pro and Huawei Vision Glass 2025 [2] - The shift from passive to proactive user services is changing the interaction dynamics across various sectors, including automotive and healthcare [5][8] Group 3: Collaborative Security Measures - The white paper proposes three main protective paths: single intelligent agent security, trusted interconnection of multiple agents, and AI terminal security [8] - Key dimensions for building a trusted collaborative environment include trusted connection, authentication, intent, and authorization [8][10] - The establishment of the IIFAA Trusted Interconnection Working Group aims to address data calling, identity verification, and permission boundary issues across multiple devices and accounts [9][10]