手机厂商、应用方如何看AI手机争议？A2A协作有望破局

Core Viewpoint - The development of intelligent agents should focus on both "wisdom" and "execution," ensuring they understand user intent and act accordingly while maintaining safety and control in existing governance and commercial order [3][4]. Group 1: Current Trends in AI Agents - Various exploration paths have emerged in the past year regarding whether AI can effectively handle tasks traditionally performed by humans, with products like GUI Agents attempting to automate tasks such as video editing and ticket booking by simulating human operations [3][4]. - Experts suggest that while the current GUI-based approach allows for quicker integration into real-world applications, it has inherent limitations in stability, efficiency, and governance, making it more of a temporary solution [4][5]. Group 2: Industry Perspectives - Mobile manufacturers are exploring the implementation of intelligent agents, with OPPO highlighting that the current GUI-based solutions are not the final form of AI phones but rather a method to operate existing interfaces [5]. - The core value for mobile manufacturers lies not in the model parameters but in their long-term understanding of users, emphasizing that "memory" is the true essence of a smartphone [5][6]. Group 3: Challenges and Future Directions - The real challenge for intelligent agents is not just task completion but also defining operational boundaries and management challenges [5][6]. - Current GUI models can stimulate the industry, but the Chinese AI sector should not be limited to this route; it should explore safer and more advanced evolutionary paths, taking cues from Apple's collaborative mechanisms between intelligent agents and applications [6][7]. - The introduction of A2A (AI-to-AI) mechanisms is suggested to improve governance and market competition, addressing potential risks associated with disruptive innovation [6][7].