OpenClaw 把 Agent 带火了。但它真正带来的，不只是一个好用的工具，而是整个 Agent 生态，从上到下都要重做一遍的巨大机会。 支付要重做，身份要重做，权限、协议、运行时、Agent-ready 的网站、AI 协作基础设施……围绕 Agent 的一切基础设施，都要重新长出来。 01 Token 消耗带来的不是量变， 更多是质变 对于创业者来说，最值得问的问题，不是「我能用 OpenClaw 做什么产品」，而是：在这场「重建」里，哪些生态位是真正值钱的，谁能最先占住？ 所以，在第四期 AI 产品市集 Meetup 上，我们和三十多位 AI 创业者们一起聊聊：在 OpenClaw 之后，有哪些创业机会真正值得去做？ 以下，是我们整理的 Meetup 现场一些精彩观点与讨论。 ⬆️ 关注 Founder Park，最及时最干货的创业分享 Meetup 是「AI 产品市集」的线下延伸活动，每期聚焦一个垂直赛道，邀请一线创业者、资深从业者与核心用户，围绕产品的应用现状及未来演进，进行集中体验与 闭门研讨。 活动参与者均来自「AI 产品市集」飞书群。「AI 产品市集」已经面向行业推荐了超过 150 款 AI ...

生成式AI 二、扎克伯格打造CEO Agent，Meta计划裁员1.6万人 1. 扎克伯格正在开发个人"CEO Agent"，可直接检索信息替代多层员工传递链，Meta内部已广泛使用My Claw个人 智能体和基于Claude的Second Brain等AI工具，甚至出现Agent间自动协作的群组 2. Meta可能裁员超1.6万人（约占总员工20%），延续2023年"效率之年"裁员1万人的路线，CFO明确表示要确保 公司效率不低于AI原生公司 3. 背后逻辑是AI基础设施投入暴增——2026年AI资本开支预计1150至1350亿美元，近乎翻倍，Meta希望用AI提升 人效来对冲巨额投入，Block、Amazon、Atlassian等多家公司也将AI与裁员直接挂钩 https://mp.weixin.qq.com/s/RNAAfzvmCYUmMAIceNogXw 三、MiniMax推出Token Plan 首 个 全模态模型订阅计划 一、OpenClaw 3.22大版本插件系统换骨，安全加固 1. 停更9天后发布3.22版本，彻底废弃旧扩展API，上线全新模块化插件SDK，ClawHub成为官方首选分发渠道， ...

金融工程 证 券 研 究 报 告 【点评报告】 量化看市场系列之九：四象限理论帮你消除 AI 焦虑 ❖ 摘要 近年来，人工智能领域的发展速度已远超"日新月异"所能概括的范围。新模 型频繁发布，新概念接连涌现，热点更替的节奏不断加快。在这一背景下，一 种普遍存在的焦虑感随之产生：一方面，人们意识到 AI 正深刻影响各行业， 不愿置身事外；另一方面，日常工作已占据大量时间，可用于系统学习与研究 的资源极为有限。跟进与观望之间的拉扯，成为许多人面临的现实困境。 面对层出不穷的 AI 新事物，判断其是否值得投入时间，可从两个维度入手。 第一个维度：与当前生产力的关联度。此处的"关联"并非指向与 AI 行业热 点的距离，而是与个体日常工作的贴近程度。若某项技术或工具能在具体工作 场景中显著提升效率或改善成果质量，则视为高关联；反之，若难以明确其在 实际工作中的适用场景，则关联度较低。 第二个维度：知识的保鲜期。部分内容具备较长的生命周期，学习后可在较长 时间内持续发挥作用，形成复利效应；另一些内容则保鲜期极短，可能在数月 内即被新概念或新工具取代，相关投入更接近于沉没成本。 将上述两个维度交叉，即可形成四象限决策框架： ...

开源生态的协同发展，进一步巩固了成本与技术的双重优势。国产开源大模型企业摒弃"闭门造车"的模 式，积极推动生态共建，Kimi K2.5与Cursor的授权合作，正是开源生态协同的生动体现。这种合作不仅 实现了技术的高效落地，更通过资源共享、优势互补，进一步摊薄研发与运营成本，推动技术迭代速度 持续加快。 国产开源大模型能够走到当前的位置，不是单一维度的突破，而是成本控制、技术创新与生态共建的系 统性成功。当然，创新之路上仍需警惕挑战，如核心技术的深度原创、开源生态的规范发展等，都是未 来需持续发力的方向。但不可否认，成本筑基、技术赋能的发展路径，已让国产开源大模型在全球竞争 中占据主动。 责编：叶舒筠 校对： 许欣 MiniMax M2.5连续五周位居全球大模型调用量榜首，月之暗面Kimi K2.5成为知名编程平台Cursor的核 心支撑。 近日的这两则新闻印证了国产开源大模型已从技术跟跑迈入并跑领跑行列。在全球AI竞争日趋激烈的 当下，中国企业凭借精准的成本控制与持续的技术迭代，走出了一条独具特色的创新之路。 成本优势是国产开源大模型突围的基石，也是赢得全球市场青睐的核心底气。国产大模型的成本优势， 源于能 ...

Core Viewpoint - The article discusses the emergence of Token as the currency of the AI era, highlighting its increasing importance in funding AI projects and the associated costs for startups [2][8]. Group 1: Token as Currency - Token has become essential for AI startups, with companies like Nvidia indicating that engineers will require an annual Token budget [2][9]. - The Token Grant initiative by Zhenge Fund aims to support entrepreneurs by providing Token funding for AI projects [2]. - The concept of Token as a form of salary is gaining traction, with companies considering it as a fundamental part of their operational budget [9]. Group 2: Rising Costs of Tokens - Startups are experiencing significant anxiety over the rising costs of Tokens, which are necessary for utilizing AI tools [3][4]. - The cost of Tokens has increased dramatically, with reports of some companies seeing their AI-related expenses triple due to Token consumption [4][5]. - A specific example includes a toy company claiming to consume 200 million Tokens daily, raising concerns about balancing Token costs with product pricing [6]. Group 3: Economic Implications - The traditional business model of decreasing marginal costs is being disrupted by the need to pay for each interaction with AI, leading to a new economic model centered around Token consumption [7][8]. - Companies that can effectively manage Token costs while delivering unique value will be more successful in the competitive landscape [11]. - The importance of human judgment in leveraging AI and managing Token resources is emphasized, suggesting that the ability to make strategic decisions remains crucial [12]. Group 4: Price Increases and Market Response - Major cloud service providers like Alibaba and Baidu have announced price increases for Token-related services due to rising demand and costs [10]. - The adjustments in pricing reflect the growing pressure on startups that rely heavily on Tokens for their operations [10].

The logic of venture capital was always premised on scarcity. Capital was scarce. Technical talent was scarce. The infrastructure to build, test, and distribute a technology product was scarce. VCs existed to bridge those gaps—to provide the resources a promising team needed before the market could prove them right. In exchange, they took equity, board seats, and influence over strategy. It was a reasonable bargain, forged in the conditions of the 1970s and refined through the personal computer, internet, a ...

OpenClaw，是当下最火的开源个人 AI 助手。很多人不知道的是，OpenClaw 背后，核心是一个极简框架 Pi-coding-agent。 在 OpenClaw 的系统架构中，Pi agent 是 Gateway 控制层的核心子系统，控制了所有 agent 的推理和工具调用。 ⬆️ 关注 Founder Park，最及时最干货的创业分享 超 22000 人的「AI 产品市集」社群！不错过每一款有价值的 AI 应用。 邀请从业者、开发人员和创业者，飞书扫码加群： 进群后，你有机会得到： 01 和 Claude Code、Cursor、Codex 不同的是，Pi 最大的特点是「做减法」：系统提示词和工具定义加起来不到 1000 tokens，核心只有 read、write、 edit、bash 四个工具，没有内置 plan mode，没有 to-do 系统，没有 MCP 支持，没有权限弹窗，甚至没有绑定任何特定模型。 但就是这样一个「什么都没有」的框架，在 Terminal Bench 2.0 上与 Codex、Cursor、Windsurf 一同排进了前五。在 GitHub 上，Pi 积累了超过 240 ...

Core Viewpoint - Circle has launched an open-source tool called Circle Skills to assist developers and AI agents in integrating stablecoin functionalities on its developer platform [1] Group 1: Product Features - Circle Skills supports interaction with USDC, EURC, and Arc components [1] - The tool can be utilized in AI tools that support skills, such as Cursor, Claude Code, and OpenAI Codex, to generate integrated code for stablecoin payments, cross-chain transfers, wallet operations, and smart contract logic [1]

Core Insights - Datadog has launched its MCP Server, which is designed to enhance debugging, automation, and AI operations at scale for developers embedding AI agents into workflows [1][2][3] Group 1: Product Features - The MCP Server provides access to live observability data, allowing teams to debug using their preferred AI coding agents or Integrated Development Environments (IDEs) with real-time telemetry [1][7] - It simplifies data access for AI workflows by offering a dynamic, purpose-built protocol for agent communication, reducing the risk of breaking changes [7] - The MCP Server enables custom AI agents to leverage Datadog's proactive detection and remediation signals, allowing them to investigate and respond to issues automatically [7] Group 2: Market Position and Strategy - Datadog aims to transform complexity into clarity and enhance security for global businesses, addressing the challenges faced by engineering teams in operationalizing AI agents [2][3] - The company emphasizes the importance of secure, governed access to production data and reduced integration overhead to meet compliance requirements as AI becomes standard practice across industries [2][3] - Datadog's unified observability platform integrates various capabilities, including infrastructure monitoring and application performance monitoring, to support digital transformation and cloud migration for organizations of all sizes [5]

Investment Rating - The investment rating for the industry is "Positive" (首次) [8] Core Insights - The OpenClaw application continues to generate high demand for computing power, with significant interest from major cloud service providers in China [4][11] - The Seedance 2.0 model, launched by ByteDance, has entered the commercialization phase, which is expected to further drive the demand for computing power [5][12] - Domestic and international cloud service providers have raised prices, indicating strong downstream demand for computing resources [6][13] Summary by Sections Investment Opportunities - OpenClaw's popularity has led to a surge in computing power demand, with various cloud providers announcing support for the application [4][11] - Seedance 2.0's pricing structure has been established, with costs set at 28 RMB per million tokens for video input and 46 RMB per million tokens without video input, which is expected to increase computing demand [5][12] - Price increases from major cloud providers like AWS and Google Cloud validate the robust demand from downstream users [6][13] Market Review - The Shanghai and Shenzhen 300 Index fell by 1.07%, while the computer index dropped by 5.29% during the week of March 2 to March 6, 2026 [15] Investment Recommendations - The report suggests focusing on the AI infrastructure industry chain, recommending companies such as Deepin Technology and Haiguang Information, with beneficiaries including Borui Data, Dongfang Guoxin, and others [7][14]