5 月 9 日晚间，阿里巴巴创始人马云现身杭州阿里总部，身着白色 T 恤并佩戴"风清扬"工牌，专门前 往了代表阿里创业精神的复刻版"湖畔小屋"，并鼓励员工坚持创业精神，持续创新。从 2024 年底至 今，马云已多次在杭州露面。据悉，去年 12 月 8 日，马云亮相蚂蚁园区，并在支付宝和蚂蚁集团二 十周年活动现场致辞，着重提及了对于 AI 的思考。 整理 | 傅宇琪、褚杏娟 消息人士称马云回归是绝不可能；雷军：过去 1 个月是创办小米以来最艰难时间；零一万物联创戴宗 宏离职创业；阿里通义应用视觉团队负责人薄列峰离职；国行版苹果 AI 合作细节：百度技术占比仅 35%；苹果 App Store 佣金去年破百亿，四年翻倍引争议；饿了么租宇树人形机器人在街头宣传"闪 购"；特朗普政府拟取消拜登时代的 AI 芯片限制；OpenAI 任命新 CEO，重组计划被迫改变；淘宝闪 购上线，节后第一天就崩了 行业热点 消息人士称马云回归是绝不可能的，并且马云是创始人也从来没离开过 据贝壳财经，5 月 10 日消息，从多位阿里巴巴内部人士处获悉，阿里巴巴已全面打通了内网（内部 论坛）权限，并调整员工跨业务流动机制、启动工牌焕新。 ...

华夏时报（www.chinatimes.net.cn）记者 石飞月 上海报道 去年，Gartner将Agentic AI（智能体AI）列为2025年十大技术趋势之一，行业风向开始有所改变，随着今年Manus 迅速走红，初创企业与科技巨头纷纷入局，一场智能体的技术竞赛彻底在科技界展开。5月7日，联想集团一口气 推出覆盖全场景的超级智能体矩阵，将这场技术角逐推向新高度。 对联想集团而言，人工智能已成为驱动业绩增长的核心引擎，无论是智能设备业务、基础设施业务还是方案服务 业务，AI技术都发挥着关键作用。此次推出的超级智能体矩阵，被业界视为联想集团深化AI战略布局的重要举 措，不过在业内人士看来，现阶段市场对AI智能体的需求还不够旺，有待持续培育开发。 今年以来，无论大厂还是小厂，纷纷加码智能体，尤其是今年3月Manus一夜爆火后。除了联想集团，在上个月的 百度Create大会上，百度正式推出了一款以"AI任务完成引擎"为核心的通用超级智能体产品心响App；字节跳动也 推出智能体开发平台扣子空间（CozeSpace），上个月正式开启内测；同样在4月，智谱的AutoGLM沉思出现了， 它就像DeepSeek R1和Ma ...

Core Insights - Lenovo Group announced the launch of "Super AI Agent" at the 2025 Tech World, introducing Lenovo Tianxi Personal Super AI Agent and Lenovo Lexiang Enterprise Super AI Agent [1] - The ambition of Lenovo is to create a "human cognitive extension" through a hybrid AI architecture, multimodal collaboration, and autonomous evolution capabilities [2][5] Technical Capabilities - The "Super" in "Super AI Agent" is defined by three core capabilities: natural multimodal interaction for proactive device communication, seamless integration of local knowledge bases across devices and ecosystems, and advanced task decomposition and orchestration [2] - Security and privacy protection are fundamental design principles that underpin these core capabilities [2] Development Framework - The development of the Super AI Agent relies on two core technical capabilities: Model Factory and Model Orchestration [6] - The Model Factory reduces deployment time from months to weeks, while Model Orchestration addresses how to utilize the models effectively [6][7] Automation and Collaboration - The Super AI Agent features an automated workflow based on large models, allowing it to process tasks in real-time by breaking down complex requests into manageable sub-tasks [9] - Multi-agent collaboration enables a group of agents to work together on tasks, with a "consultant agent" coordinating the process [9][10] Vision and Future - Lenovo envisions the Super AI Agent as a cognitive operating system that integrates vast amounts of data for decision-making [13] - The ultimate evolution of the Super AI Agent is described as an "autonomous evolving AI twin," capable of self-planning, self-action, and self-evolution [16]

Core Insights - The emergence of intelligent agents is being accelerated by major tech companies, with Lenovo, Baidu, ByteDance, and Tencent all making significant advancements in this field [1][2][3][4] - The global intelligent agent market is projected to grow from $5.29 billion in 2024 to $21.68 billion by 2035, reflecting a compound annual growth rate of 40.15% [2] - Intelligent agents are distinct from traditional AI tools, functioning as autonomous digital assistants capable of perceiving environments, analyzing goals, making decisions, and evolving over time [2] Company Developments - Lenovo is set to unveil its "Super Intelligent Agent Legion" at the Tech World conference on May 7, aiming to enhance AI experiences in various business scenarios [3] - Baidu has launched the "Xinxiang App," a universal super intelligent agent product, which is currently available for Android users and is expected to enhance user interaction [3] - ByteDance has introduced the "CozeSpace" platform, allowing users to create intelligent agents with zero or low coding, targeting both general and specialized applications [3] - Tencent plans to integrate intelligent agents into its WeChat and QQ platforms, leveraging advanced technologies for improved user interaction [4] Industry Challenges - Despite the rapid development, the intelligent agent sector faces significant challenges, including insufficient foundational model capabilities, lack of unified interaction frameworks, and ethical concerns [5] - Current intelligent agents exhibit limitations in content generation speed and understanding of complex user requests, indicating a gap between performance and user expectations [6] - Key technical bottlenecks include "hallucination accumulation," which leads to unrealistic judgments in complex problem-solving scenarios, and the need for better adaptability to diverse tasks [6][7] Employment Impact - The rise of intelligent agents is expected to transform the job market, with repetitive roles being replaced while demand for strategic and creative positions may increase [8] - New job categories such as AI trainers and ethical consultants are emerging in response to the changes brought by intelligent agents [8] - Companies and governments are encouraged to implement retraining programs to help the workforce adapt to the evolving technological landscape [8]