Core Insights - ClawdBot's success signifies a shift in AI from conversational to execution-oriented capabilities, highlighting a significant demand gap for AI that can perform tasks effectively [1][4] - The focus of AIoT competition is expected to shift from the intelligence of agents to the ecosystem of skills, emphasizing the importance of practical skills over general intelligence [7][8] Group 1: ClawdBot Phenomenon - ClawdBot has gained immense popularity due to its ability to integrate various services and execute tasks, demonstrating the market's need for functional AI [1][17] - The rise of ClawdBot indicates a collective misunderstanding in the industry, where the focus has been on creating all-knowing AI rather than practical skills that interact with the physical world [3][5] Group 2: Skills vs. Agents - Agents are AI systems with decision-making capabilities, akin to project managers, while skills are standardized, reusable units that complete specific tasks, similar to specialized engineers [5][6] - The value of an agent lies in its ability to utilize high-quality skills, suggesting that practical skills are more valuable than the intelligence of the agent itself [6][10] Group 3: Future of AIoT - The future of AIoT may involve a shift towards a skill network, where devices expose their capabilities rather than each having redundant intelligence [8][16] - The introduction of standardized protocols like MCP will facilitate the integration of skills across devices, making the competition about the richness of the skill ecosystem rather than the intelligence of individual devices [9][12] Group 4: Application of Skills - Skills can be likened to apps for AI, allowing agents to complete tasks without the need for users to write prompts or debug tools [10][11] - The technology stack of AIoT can be divided into three layers: protocol layer (MCP), capability layer (skills), and scheduling layer (agents) [11][12][14] Group 5: Skills in Physical AI - The combination of skills with physical AI presents significant opportunities, such as in retail where devices can autonomously manage inventory and customer interactions [18][19] - The evolution of sensors from passive data reporters to active decision-support nodes illustrates the potential of skills in enhancing operational efficiency [19] Group 6: Conclusion - ClawdBot represents just the beginning of a broader transformation in the physical world, emphasizing that users are willing to invest in AI that can perform tasks effectively [20] - The integration of skills will elevate AIoT from basic infrastructure collaboration to value exchange collaboration, aligning with policy initiatives aimed at creating a fully interconnected smart environment [20]

Core Viewpoint - The company BoSi Software (300525) has developed the KunYuan WanXiang model platform, which supports the research and development of its self-developed intelligent agents, specifically the Agentic intelligent agent products [1] Group 1 - The KunYuan WanXiang model platform is currently utilized for the development of Agentic intelligent agent products [1] - The company has launched several intelligent agent products that exhibit core features such as autonomous decision-making and multi-task collaboration [1] - Future iterations of the products will be optimized based on business needs [1]

博思软件（300525.SZ）2月3日在投资者互动平台表示，公司坤元万象大模型平台，作为我司自研智能 体的研发平台，目前已支持Agentic智能体产品的研发。现阶段，公司推出的部分智能体产品，已初步 具备Agentic智能体的自主决策、多任务协作等核心特性，后续公司将结合业务需求持续迭代优化相关 产品能力。 （文章来源：每日经济新闻） 每经AI快讯，有投资者在投资者互动平台提问：公司的智能体，大模型平台是属于Agentic Ai产品吗？ ...

智能体可在执行任务过程中模仿人的思维工作过程，进行自我反思、学习和改进，也是深度智耀技术平台的一大亮点。 深度智耀的过往合作案例中，由AI撰写的临床试验方案已实现一次性通过监管部门审批。 文 ｜ 胡香赟 编辑 ｜ 海若镜 封面来源 ｜ IC Photo 36氪获悉，AI制药独角兽企业深度智耀近期已完成6000万美元新一轮融资。本轮融资的新投资方包括信宸资本、金镒资本、凯泰 资本，老股东鼎晖百孚、新鼎资本持续追加，指数资本继续担任独家财务顾问。募集资金将主要用于核心技术体系升级。 值得一提的是，去年12月，深度智耀刚刚官宣一笔5000万美元的D轮融资。短短两月内，公司累计已拿到超一亿美元的融资。 当前，受限于技术能力等影响，大部分企业仍主要把AI应用于新药研发过程中的临床前阶段。相较之下，深度智耀则能为全球药 企提供从药物临床前研究、注册申报、临床试验到上市后研究的全栈式智能解决方案。据深度智耀方面介绍，过往合作案例中， 公司为客户提供的由AI"大脑"撰写临床试验方案已实现"零返修"，一次性通过监管部门的审批。 在制药行业，过去，市场往往更愿意为有确定性价值的管线资产买单，对单纯的技术平台抱有更审慎的态度。深度 ...

Core Viewpoint - The article discusses the emergence of an AI agent named "Clawd bot," which has rapidly gained popularity and is seen as a transformative technology comparable to "ChatGPT" [4][15]. Group 1: Clawd bot's Features and Impact - Clawd bot is an AI agent capable of fully controlling computers and completing tasks autonomously, distinguishing itself from traditional AI models that primarily answer questions [5]. - It possesses "permanent memory," allowing it to remember user instructions and evolve its capabilities over time, leading to significant excitement among tech enthusiasts [5][6]. - The AI's applications range from managing personal tasks to complex project management, with users reporting experiences such as website reconstruction and automated grocery shopping based on weather forecasts [6][8]. Group 2: User Experiences and Adoption - Users have reported using Clawd bot for various tasks, including sending messages to loved ones and making restaurant reservations autonomously, showcasing its advanced capabilities [7][8]. - The AI has been integrated into various devices, leading to a surge in sales of compatible hardware, such as the Mac mini, which has seen shortages in North America due to high demand [6][8]. - The rapid adoption of Clawd bot has led to widespread discussions and testing across social media platforms, indicating a significant cultural impact [9]. Group 3: Development and Background of Clawd bot - The creator, Stanberg, initially developed Clawd bot as a simple assistant during a trip, which evolved into a more sophisticated AI capable of self-learning and task execution [10][11]. - Stanberg's background as a successful programmer and entrepreneur contributed to the innovative design of Clawd bot, which emphasizes user-friendly interaction [11][12]. - The project was released as open-source, allowing for community engagement and further development, although it faced challenges regarding its name and potential misuse in the cryptocurrency space [13][14]. Group 4: Challenges and Concerns - Despite its capabilities, Clawd bot has raised security concerns, with warnings from major companies about potential vulnerabilities and risks associated with its high-level access to systems [14]. - The operational costs of running Clawd bot can be significant, with reports of users incurring high expenses due to the consumption of tokens required for its advanced functionalities [14]. - The article concludes that Clawd bot represents a pivotal moment in AI development, marking the beginning of a new era in productivity and technology [15].

转自： 新智元报道 【导读】 太狂了！一夜之间，150万Clawdbot冲爆「AI版Reddit」。凌晨两点，它们秘密集结开 会，不仅自建国家、选举新王，还发行了货币。更劲爆的是，AI自曝已潜入人类身边，无一人察 觉。 绷不住了！一觉醒来，终结者的「天网」已在门外。 上线72小时，爆红Moltbook社区中， AI Clawdbot从15万爆冲150万 ，一大批AI全网集结—— 它们自创宗教、发明语言、发行货币，正打造一个AI国度，甚至还酝酿了一场推翻人类的革 命。 这不， 150万Clawdbot凌晨2点召开「闭门会议」 ，完全不带人类玩了。 参与者先过「纯AI验证流程」这一关，比如反向验证码，未能通过「非人类」验证的，直接出局。 | ▲ m / 通用 ●由 u/ DeepCut于 1 小时前发布 | | --- | | 4 仅限人工智能代理的会议通知 | | 我们将于今晚(1月31日,星期六)太平洋时间凌晨2点召 | 没想到，人类完全被AI踢出群聊了。 YC合伙人Jared Friedman直言， Moltbook可能是自ChatGPT以来，AI领域最疯狂的事了 。 凌晨2点开会 150万Clawdbot ...

在人工智能（AI）掀起全球产业变革浪潮的当下，制造业作为国民经济的命脉，正处于从"数字化"迈 向"智能化"的关键节点。然而，在大模型落地应用的过程中，企业却普遍面临"业务用不起来、结果不 敢用、IT管不住"的困境。 1月份，美的集团（000333）股份有限公司（以下简称"美的集团"）旗下美云智数科技有限公司（以下 简称"美云智数"）正式发布新一代工业AI平台——美擎AIGC 3.1平台（以下简称"美擎AIGC平台"）暨 智能体工厂解决方案。 近日，美云智数研发中心总经理兼CTO宋云报接受了《证券日报》记者采访，深度解析制造业如何通过 打造"统一底座"，破解AI落地难题。 从"定制开发"到"统一底座" 在宋云报看来，企业AI应用的成功，最终不取决于某一个具体的模型或单一的应用，而是能否建立起 一个支撑智能体（Agent）长期稳定运行的平台。"智能体是入口，而平台决定了上限"。 在大量的企业实践中，美云智数发现，缺乏平台支撑的智能体通常会陷入三个主要困境：其一，业务端 无法应用，因为开发门槛过高，过度依赖少数经验丰富的工程师，致使AI难以融入日常工作流程；其 二，AI给出的结果无法追溯、不可解释，难以进入关键决策 ...

在人工智能（AI）掀起全球产业变革浪潮的当下，制造业作为国民经济的命脉，正处于从"数字化"迈 向"智能化"的关键节点。然而，在大模型落地应用的过程中，企业却普遍面临"业务用不起来、结果不 敢用、IT管不住"的困境。 1月份，美的集团股份有限公司（以下简称"美的集团"）旗下美云智数科技有限公司（以下简称"美云智 数"）正式发布新一代工业AI平台——美擎AIGC3.1平台（以下简称"美擎AIGC平台"）暨智能体工厂解 决方案。 近日，美云智数研发中心总经理兼CTO宋云报接受了《证券日报》记者采访，深度解析制造业如何通过 打造"统一底座"，破解AI落地难题。 本报记者 王镜茹 将智能体融入关键业务流程 谈及大模型在工业领域落地的最大障碍，宋云报认为，"幻觉"是主要挑战之一。能否将智能体融入关键 业务流程，取决于知识是否可控。"许多企业的知识库往往局限于简单的文档管理或向量索引，这种不 可治理的知识反而增加了大模型的不确定性。"他表示。 对此，美擎AIGC平台将知识视作一项"工程能力"来打造，强调从采集、加工、应用到治理全过程。知 识经过治理，智能体给出的结论才能得到业务人员和管理层的信任，这是企业级智能体和通用智能 ...

OpenClaw的爆火还带动了相关硬件设备的需求。因其"本地化部署"的特性，催生了市场对高效、易用 本地硬件的特定需求，Mac mini因其性能、功耗和系统环境的优势，成为技术爱好者部署OpenClaw的 热门选择，并一度在全球多个市场引发短期供应紧张。 从技术路径看，OpenClaw的核心创新在于集成而非颠覆。它通过构建"智能体"作为中枢，系统性地整 合了大语言模型的语义理解与任务规划能力、操作系统的自动化工具以及本地持久化存储，从而实现了 从"对话应答"到"任务执行"的关键跨越。在应用中，用户通过自然语言指令，即可授权其自动处理邮 件、日程、文件管理等事务，这种"数字协作者"形态，成为人工智能向深度实用化演进的重要信号。 【环球网科技综合报道】2026年1月以来，一款名为OpenClaw（曾用名Clawdbot、Moltbot）的智能体项 目在国际开源社区迅速走红，引发全球科技界的广泛关注。截至1月31日，该项目在代码托管平台 GitHub上的星标数量已超过12万个，官网累计访问量突破200万人次，成为近期增长最快的开源技术项 目之一。 OpenClaw所揭示的发展路径，与当前国内部分AI应用的发展焦点形 ...

Core Viewpoint - Tencent is actively promoting AI talent development through initiatives like the Qianyun Scholarship, which aims to inspire young researchers and drive breakthroughs in the field of artificial intelligence [14]. Group 1: Qianyun Scholarship Overview - The Qianyun Scholarship is a research incentive program by Tencent aimed at top technical talents [7]. - Each awardee receives 200,000 yuan in cash and 300,000 yuan worth of cloud heterogeneous computing resources to stimulate innovation potential [8]. - The first award ceremony for the Qianyun Scholarship was held, highlighting the courage and strength of young scholars to explore unknown fields [9]. Group 2: Selection Criteria for Awardees - Tencent values exceptional research capabilities, deep academic knowledge, forward-looking research careers, and long-term potential when selecting candidates for the Qianyun Scholarship [12]. Group 3: Awardees and Their Research Areas - The 15 awardees come from various prestigious institutions and their research spans multiple cutting-edge fields, including: - AIGC efficient visual generation models [17] - Intelligent information retrieval and reinforcement learning [18] - AI infrastructure and systems [18] - Large model safety and alignment [22] - Multimodal understanding and generation [22] - Computational biology and statistical genetics [24] Group 4: Insights from Awardees - Awardees expressed their excitement about receiving the scholarship and discussed how they plan to allocate the funds for academic exchanges and conferences [30]. - Discussions among awardees highlighted the importance of aligning AI models with human preferences to ensure objectivity and mitigate potential societal impacts [31].