本报讯 （记者贾丽）8月3日，"新物种爆炸·吴声商业方法发布2025"大会正式举行。会上，联想天禧个 人超级智能体登场，无缝融合人机交互体验的联想moto AI手机带来了一次真正意义上的"终端进化"。 联想集团有限公司（以下简称"联想"）AI挚友、场景实验室创始人吴声表示，工作、学习和生活高度接 入人机交互的场景已经是新常态，联想天禧个人超级智能体定位是AI时代人机交互第一入口。 （编辑 张昕） 据了解，联想天禧个人超级智能体以"AI操控、AI翻译、AI笔记、AI搜索、AI服务"五大黄金功能重新 定义智能体验。其中，AI操控拥有用户高频使用场景下的超过300个技能，可以跨端操控。AI搜索功能 具备全域搜索能力，让知识查找更加简洁。AI笔记功能支持文本、语音、图片等媒体格式，能够根据 不同用户的风格习惯，提供全功能的记录能力。 吴声在大会上提出，终端进化成为数字自我的延伸，是AI时代的交互认知。个人超级智能体不仅在技 术层面实现了从"命令响应"到"场景感知"的跃迁，更在认知层面引导我们重新思考人与设备的关系。 这不是一次简单的产品亮相，而是一场面向未来人机交互系统的重构。个人超级智能体是用户意图的捕 捉者、习惯 ...

Core Viewpoint - The article emphasizes the concept of "meaning reconstruction" in the context of the AI scene revolution, highlighting the importance of specific scenarios in shaping business and consumer experiences [3][18]. Group 1: Scene Creation and Evolution - The past decade has been marked by "scene creation," where well-designed scenarios drive the evolution of new business entities, as seen in collaborations with companies like Luckin Coffee and Tencent [10][13]. - The evolution of brands like Sanwing Bird illustrates the shift from product-centric to solution-oriented approaches, focusing on personalized home scene customization [13][17]. - Red Star Macalline's transformation into an "AI home life destination" showcases the integration of home appliances, furniture, and decoration into a cohesive shopping experience [15][17]. Group 2: Instant Emergence and Meaning Reconstruction - The concept of "instant emergence" suggests that technological advancements must be carefully designed within specific scenarios to avoid losing sight of their significance [19][21]. - The article discusses the potential of AI to transition from "intelligence" to "super intelligence," with implications for economic growth and the redefinition of resources [23][25]. - The need for a philosophical lifestyle cycle is highlighted, where the reconstruction of meaning is essential in navigating the complexities of the AI era [25][28]. Group 3: NOW - Connection in the Present - The "NOW" concept emphasizes the importance of real-time connections facilitated by AI, transforming how individuals interact with information and each other [29][30]. - Platforms like Xiaohongshu exemplify the redefinition of connection through user-generated content, creating a space for real-time engagement and shared experiences [33][35]. - The article notes that the ultimate goal of business is to turn individual problems into collective solutions, as demonstrated by Xiaohongshu's focus on immediate user needs [35][36]. Group 4: FLOW - Smooth Human-Machine Interaction - The "FLOW" concept refers to the evolution of human-machine interaction, where AI becomes a seamless part of daily life, enhancing user experiences [51][52]. - The emergence of "intelligent agents" signifies a shift in how technology interacts with users, moving from mere tools to integral parts of personal and professional environments [54][56]. - Companies like Lenovo are leading the way in creating cohesive ecosystems of AI devices that enhance user interaction and experience [56][58]. Group 5: HERE - Narrative Beyond the Scene - The "HERE" concept emphasizes the importance of local narratives and experiences in creating meaningful connections between brands and consumers [79][80]. - Brands like Anta are innovating their retail spaces to become community hubs, blending art and local culture to enhance customer engagement [83][84]. - The article highlights the need for physical spaces to evolve alongside digital experiences, ensuring that they remain relevant and engaging for consumers [87][88].

Core Insights - The 2025 Global Digital Economy Conference opened in Beijing, featuring the expansion of the "Human-Centric AI Development and Governance Initiative," which now includes nearly 50 member organizations from various sectors of AI technology and applications [2] Group 1: Initiative and Membership - The "Human-Centric AI Initiative" was jointly launched by several organizations, including Caixin Think Tank and Lenovo Group, in November last year, focusing on technology research, application implementation, and ethical governance [2] - New members of the initiative include major tech companies such as Baidu, MiniMax, Inspur, and Siemens (China), covering key areas like large models, embodied intelligence, and AI healthcare [2] Group 2: AI Development Perspectives - Lenovo's Vice President emphasized the need for hybrid AI development to empower various industries and enhance global competitiveness in the digital economy [3] - The development of hybrid enterprise intelligence relies on upgrading intelligent computing infrastructure and fostering an open application ecosystem [4] Group 3: AI Applications and Innovations - Lenovo has launched personal and enterprise super intelligent agents, such as the Lenovo Tianxi personal super intelligent agent and the "Lenovo Enjoy" enterprise super intelligent agent, aimed at improving quality of life and productivity [4] - The company is also working on city-level super intelligent agents for smart governance in locations like Yichang and Wuyishan [4] Group 4: Standards and International Initiatives - Lenovo has contributed to the publication of the report "Human-Centric AI: Technology Development Perspectives in the Era of Human-Machine Symbiosis" and has participated in establishing international AI standards [5] - In the 2024/25 fiscal year, Lenovo signed three major international initiatives, including the EU's "AI Pact" and UNESCO's ethical AI statement [5]

Core Insights - The next wave of AI is focused on generating revenue rather than just providing tools, which is seen as a trillion-dollar opportunity by industry leaders [2] - The transition from large models to intelligent agents marks a new era in AI, emphasizing automation and cash flow generation [2] - Companies' core competitiveness will depend on customized AI applications and quantifiable business outcomes [2][3] Data and Integration - High-quality data is essential for companies to realize the benefits of AI, with data integration being a critical factor [3] - The integration of AI with traditional automation technologies is a key focus for future AI development, particularly in manufacturing [3][4] Intelligent Agents - The demand for intelligent agents is growing, with various companies launching advanced AI models and solutions [6][7] - IBM has introduced a comprehensive enterprise-ready AI agent solution, emphasizing collaboration and integration with existing IT assets [7][8] Application and Use Cases - Intelligent agents are being applied in specific business scenarios, such as customer service and R&D, to enhance efficiency and reduce operational costs [10][11] - Companies are encouraged to start with small, specific use cases to validate ROI before scaling up [12] Market Trends - The sales of AI agents and related products are projected to significantly increase, with estimates suggesting revenues could reach $125 billion by 2029 and $174 billion by 2030 [6] - The competitive landscape is shifting as companies seek to leverage AI agents for greater returns on investment [12]

Core Insights - The year 2025 is referred to as the "Year of AI Agents," with artificial intelligence technology rapidly reshaping various industries [1] - The focus of industries such as government, healthcare, finance, and manufacturing is shifting from technical capabilities to deployment methods and practical usability [1] - Independent Software Vendors (ISVs) face challenges in transitioning from cloud-based services to localized products, presenting both challenges and opportunities [1] Challenges in AI Agent Deployment - Significant investment in personnel and testing resources is required to package large model capabilities into localized products, necessitating the formation of engineering teams familiar with underlying hardware [2] - The productization cycle is lengthy, requiring a comprehensive process from hardware selection to software-hardware collaboration, which delays commercialization [2] - Market conversion efficiency needs improvement, as many ISVs lack mature promotional systems and enterprise service experience, extending the product market conversion cycle [2] Industry-Specific AI Development - Industry-specific AI agents must delve deeply into vertical fields, such as finance, requiring a focus on scenarios and the integration of data and intelligence [3] Ecosystem Collaboration - Companies are addressing market pain points by building AI ecosystems, with a four-dimensional empowerment system of brand strength, solution capability, marketing power, and sales strength becoming key to accelerating AI agent deployment [4] - Lenovo has launched a comprehensive AI agent matrix, collaborating with ISV partners to develop targeted solutions in finance, healthcare, and intelligent manufacturing [4] - The "Smart Traditional Chinese Medicine" model developed by Tianshili Group showcases applications in traditional medicine, including drug development and diagnostic assistance [4] - The "Mili Tong" intelligent model machine, developed in collaboration with Lenovo, integrates multiple large model capabilities for applications in document processing and multilingual translation [4][5] Investment Trends in AI Ecosystem - The AI agent ecosystem has garnered significant attention in the primary market, with IT, biotechnology/healthcare, and mechanical manufacturing being the top three sectors for VC/PE investment [6] - In 2024, there were 466 investment events in the domestic AI industry, amounting to 63.4 billion yuan [6] - Investment focus is shifting towards the entire ecosystem construction chain, emphasizing the importance of software-hardware adaptation, collaborative marketing, and shared services for future growth [6]

Group 1: Core Technology and Innovations - Lenovo has launched a comprehensive super-intelligent matrix, including personal, enterprise, and city super-intelligent systems, along with a new reasoning acceleration engine [2] - The Lenovo Tianxi personal super-intelligent system features enhanced environmental perception, personalized cognition, decision support, autonomous task planning, and continuous learning capabilities [2] - The system can interact with users through natural methods such as voice, text, and device touch, and it records user habits and preferences for personalized service [2] Group 2: Data Security and Privacy - Data security and privacy protection are emphasized as fundamental principles in Lenovo's AI innovation strategy, with a focus on protecting personal privacy and corporate intellectual property [3] - Lenovo proposes a "hybrid AI" solution that processes sensitive data locally while uploading only non-sensitive information to the cloud, enhancing privacy and service efficiency [3] - The company has developed a multi-layered protection system for secure data transfer between devices and strengthened deep forgery detection technology to prevent the misuse of user biometric data [3] Group 3: Globalization and Localization Strategy - Lenovo adopts a combination of globalization and localization strategies, establishing 33 factories in 11 countries to address challenges such as high tariffs and ensure competitive advantages [4] - The company’s local manufacturing approach in high-tariff countries like Brazil and India allows it to meet customer demands for personalization and delivery times while creating jobs and paying taxes [4] Group 4: Operational Advantages - As an end-to-end integrated manufacturer, Lenovo has advantages in production, product design, and marketing, allowing for quick and flexible adjustments to market changes [5] - The company's "ODM+" model and global localization strategy are positioned as a reference for other companies navigating globalization challenges [5]

更多AIGC资讯 …… 1.【消息称OpenAI计划削减与微软的收入分成】据报道，OpenAI已经告诉投资者，它将降低与微软 分享的收入比例。该报道称，到本十年末，这一比例将至少下降一半。（新浪财经） 2.【谷歌发布Gemini 2.5 Pro "I/O"模型】当地时间5月6日，谷歌DeepMind人工智能研究团队发布 了Gemini 2.5 Pro "I/O" ，这是今年3月发布的多模态大语言模型Gemini 2.5 Pro的升级版本。在 AI排行榜LMArena上，该模型在多个指标上登顶。目前该模型已向Google AI Studio的独立开发 者、Vertex AI云平台的企业用户以及Gemini应用的普通用户开放。（界面新闻） 3.【星动纪元宣布开源首个AIGC机器人大模型】5月7日，星动纪元宣布开源首个AIGC机器人大模 型。据了解，VPP将视频扩散模型的泛化能力转移到了通用机器人操作策略中，巧妙解决了diffusion 推理速度的问题，让机器人实时进行未来预测和动作执行，大大提升机器人策略泛化性，并且现已全 部开源。（IT之家） 4.【联想发布端侧AI新技术】5月7日，联想创新科技大会（Tech ...

Group 1 - Lenovo officially launched a comprehensive super intelligent matrix at the Tech World 2025 conference, which includes personal, enterprise, and city super intelligent agents, along with a new generation of inference acceleration engines [1] - The exponential growth of edge AI is driven by a dual spiral of computing power and model capability, as explained by Lenovo's CEO Yang Yuanqing [1] - The inference acceleration engine, developed in collaboration with Tsinghua University and Wuneng Chip, addresses industry pain points related to model lightweighting and inference efficiency [1] Group 2 - The core foundation of the enterprise super intelligent agent is based on a computing power support system, utilizing a hybrid computing infrastructure built on a "edge-cloud-network" four-layer architecture [2] - This architecture supports data collection, storage, and processing, enabling the training of enterprise AI models and their deployment on edge devices or terminal hardware for distributed inference [2] - Lenovo's first enterprise super intelligent agent, "Lenovo Lexiang," integrates comprehensive business data and knowledge assets, achieving intelligent solutions across the entire supply chain to marketing [2]

Core Concept - Lenovo's CEO Yang Yuanqing defines "super intelligent agents" as the next breakthrough in enhancing quality of life and productivity, evolving from mere tools to cognitive operating systems for individuals and enterprises [2][5]. Group 1: Definition and Capabilities - Yang outlines three core capabilities of super intelligent agents: perception and interaction, cognition and decision-making, and autonomy and evolution [4][5]. - The super intelligent agent is designed to deeply integrate perception, cognition, decision-making, and autonomous evolution, enhancing user understanding through increased interaction [7]. Group 2: Technological Advancements - The past decade has seen AI assistants evolve from simple voice command execution to multi-modal interaction capabilities, although limitations in computing power and privacy have hindered their full potential [5]. - Lenovo has introduced a reasoning acceleration engine in collaboration with Tsinghua University, aimed at addressing the industry's core challenges of large model lightweighting and inference efficiency [8]. Group 3: Product Launches - At the event, Lenovo unveiled several devices equipped with the Tianxi personal super intelligent agent, including the AI-enabled Moto Razr foldable phone and the ThinkBook with a rollable screen [10]. - The company also introduced the Lenovo Lexiang, the first enterprise super intelligent agent, designed to enhance business operations through its multi-modal capabilities [11]. Group 4: Future Outlook - Yang predicts that the capabilities of edge AI will triple in the next 12 months, driven by advancements in computing power and model capabilities [8]. - The transition from tools to "silicon-based life forms" signifies a shift in how enterprises will leverage super intelligent agents for innovation and operational efficiency [12].

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]