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爆火智能体再进化,终端成为关键词:2026年端侧AI能力至少涨3倍

Core Viewpoint - The article discusses the emergence and evolution of "super intelligent agents" in the AI landscape, highlighting their capabilities and the role of Lenovo in defining and deploying these agents across personal, enterprise, and urban applications [4][9][38]. Group 1: Definition and Features of Super Intelligent Agents - The current stage of intelligent agents is referred to as "super intelligent agents," which possess three core functions: perception and interaction, cognition and decision-making, and autonomy and evolution [4][10][12]. - Super intelligent agents are categorized into three areas: personal, enterprise, and urban, to promote a comprehensive societal integration of AI technology [5][38]. - Lenovo has introduced the concept of "AI Twins" and emphasizes the importance of local, personalized, and efficient execution in its AI architecture [7][38]. Group 2: Capabilities of Super Intelligent Agents - The first capability, perception and interaction, allows agents to capture user states and environmental information through various modalities, enabling precise interpretation of user intent [11][12]. - The second capability, cognition and decision-making, involves utilizing cross-device knowledge bases to maintain a long-term memory that can understand complex intentions and apply learned outcomes to different scenarios [15][18]. - The ultimate goal of autonomy and evolution is for agents to autonomously decompose complex tasks and optimize decision-making through self-learning [18][38]. Group 3: Lenovo's Product Launches - Lenovo has launched the Tianxi personal super intelligent agent, which can be deployed on various smart devices to serve individual users [21][28]. - The company also introduced the Lexiang enterprise super intelligent agent, which relies on a robust computing infrastructure to support AI model training and inference [30][33]. - Lenovo's new AI PCs, equipped with the "Lenovo Inference Acceleration Engine," significantly enhance local inference capabilities, achieving performance levels comparable to cloud models [22][27]. Group 4: Future Outlook and Trends - Lenovo anticipates a threefold increase in edge AI capabilities within the next 12 months, indicating a rapid evolution in AI technology [41][38]. - The integration of super intelligent agents into personal, enterprise, and urban contexts aims to reshape productivity paradigms and enhance user experiences [38][42]. - The relationship between foundational computing and upper-layer software intelligence is becoming increasingly intertwined, positioning super intelligent agents as essential tools for problem-solving [42][43].