图片来源：灵御智能 近日，国内具身智能企业 "灵御智能"宣布完成千万级种子轮融资，本轮融资由英诺天使基金领投， 水木校友种子基金、远镜创投跟投。 作为具身智能领域的新兴闯入者，灵御智能由毕业于清华大学自动化系的前硬科技投资人金戈， 携 手同样来自清华大学自动化系的顶尖团队共同创立 。 公司以 "打造具身智能实用化标杆，让具备可 靠灵活操作能力的机器人走进千家万户" 为使命，依托清华大学自动化系团队在机器人运动控制领域 的技术积累，以无缝协作的人机混合智能为切入点，成功打通 L0 到 L2 到 L4 的机器人完整智能进化 路径，并构建了包括人侧数据采集、机侧灵巧执行器及智能操作平台在内的通用操作整体解决方案。 灵御智能利用自身在智能控制领域多年的技术积累，提出以【高质量、低成本、低门槛】的遥操作为 切入点， 一方面打造出性价比极高的可供科学研究、产业探索、模型升级的优质数据采集机器人， 快速生成可供模型训练的优质真实场景数据，迅速提升机器人通用操作能力；另一方面，基于人机混 合智能技术让轮式双臂 / 单臂机器人能够真正进入工业、消费、酒店、家庭等一系列实用场景，逐渐 降低人力消耗。在当前具身智能普遍难以落地的现 ...

Company Overview - JianGu Capital was established in 2017 by experienced investors with backgrounds from Carlyle Asia Investment Committee, focusing on early-stage investments in AI and robotics [1] - The investment team comprises professionals from top private equity firms such as Carlyle and Fosun, with prior experience from HBS, Sloan, McKinsey, JPM, China International Capital Corporation, and China Investment Corporation [1] Job Responsibilities - Conduct in-depth industry research, tracking global advancements in AI large models, embodied intelligence, and robotics hardware/algorithms, and complete competitive landscape analysis [2] - Write technology trend reports and assess the commercial potential of technologies [2] - Support project evaluation by assisting the team in technical and commercial due diligence, analyzing the strengths and weaknesses of technology routes [2] - Build financial models and perform sensitivity analysis to estimate the growth potential of companies [2] Job Requirements - Candidates must be currently enrolled in domestic or international universities, with no specific major required (preferred backgrounds include finance, computer science, automation, and mechanical engineering) [3] - Prior experience in consulting, investment banking, private equity, or AI labs/robotics competitions is preferred [3] - Strong self-motivation and adaptability to the fast-paced environment of a startup are essential [3] Internship Offerings - The company provides a mentorship mechanism from investment managers, allowing interns to deeply participate in project initiation and decision-making meetings [9] - Flexible working arrangements are available, with high-performing interns potentially receiving full-time return offers [9] - The internship is set to begin in May 2025, located in Nanshan District, Shenzhen [9]

Core Viewpoint - The rapid advancement of AI technology poses significant risks, including the potential for superintelligent systems to surpass human control and the misuse of AI by malicious actors [2][3][21]. Group 1: AI Development and Predictions - AI's development speed has exceeded expectations, with superintelligent systems potentially emerging within 4 to 19 years, a significant reduction from previous estimates of 5 to 20 years [4][5]. - The ideal scenario for AI's role is to act as a highly intelligent assistant to humans, but there are concerns about the implications of such systems gaining control [6][7]. Group 2: Positive Applications of AI - AI is expected to revolutionize healthcare by surpassing human doctors in interpreting medical images and diagnosing rare diseases, leading to improved medical outcomes [7]. - In education, AI could serve as highly effective personal tutors, significantly enhancing learning efficiency [7][8]. Group 3: Economic and Social Implications - The rise of AI may lead to widespread job displacement, particularly in routine jobs, while potentially increasing productivity across various sectors [12][14]. - There is a concern that the benefits of increased productivity may not be equitably distributed, leading to greater wealth inequality and social unrest [14][17]. Group 4: Risks of AI Misuse - The potential for AI to be weaponized or used for malicious purposes is a significant concern, with examples of AI being used to manipulate public opinion during political events [21][22]. - The risk of AI systems becoming autonomous and uncontrollable is highlighted, with calls for urgent regulatory measures to prevent such scenarios [22][23]. Group 5: Regulatory Challenges - Current regulatory frameworks are inadequate to address the rapid development of AI technologies, and there is a need for public pressure on governments to enforce stricter regulations [23][24]. - The push for open-sourcing AI models raises concerns about accessibility to dangerous technologies, akin to nuclear proliferation [26][27]. Group 6: Ethical Considerations - The ethical implications of AI's ability to generate content and potentially replace human creators are complex, with calls for protecting the rights of creators in the face of AI advancements [41][42]. - Discussions around universal basic income as a potential solution to job displacement highlight the need for addressing the dignity and identity of individuals in a changing job landscape [43][44]. Group 7: Future of AI and Humanity - The conversation around AI rights and its potential to surpass human intelligence raises fundamental questions about the future relationship between humans and AI [46][48]. - The urgency of ensuring that AI systems are designed to prioritize human welfare and prevent harm is emphasized as a critical challenge for the future [56][57].

时间：2025年5月14日周三晚7点 地点：北京（具体地点报名后通知） 人数：6-7人 人群：大厂、创业公司产品/技术、创业者 主题：AI社交娱乐 让我们来一场小而美的聚餐吧！ 这是一个交流想法、分享经验、拓展人脉的绝佳机会。 报名截止：活动前一日晚8点，名额有限，先到先得。 我们会根据大家的背景和诉求，进行合理的组合，确保每个人都能有所收获。 期待与你共度一个愉快而有意义的夜晚！ 扫码报名： -----------END----------- 我们正在招募新一期的实习生 我们正在寻找有创造力的00后创业 关于 Z Potentials ...

Core Viewpoint - The article discusses the phenomenon of "rolling recession" and its implications for the labor market, automation, and economic outlook, emphasizing the cautious hiring practices of companies and the potential for increased automation to replace labor as profit margins shrink [2][11][20]. Group 1: Labor Market and Employment - The labor shortage post-pandemic has led companies to be more cautious in hiring, resulting in a phenomenon of labor "hoarding" [2]. - Companies are unlikely to lay off workers until their profits are significantly impacted, which is already occurring for some [2]. - The article suggests that if deflation becomes a significant theme, companies will accelerate the trend of replacing labor with capital [2]. Group 2: Automation and AI - The article addresses fears surrounding automation and AI, noting that while some jobs may be replaced in the short term, historically, technological advancements have created more jobs in the long run [3]. - The example of agricultural automation is cited, where initial job displacement was followed by increased productivity and job creation [3]. Group 3: Economic Outlook and Taxation - The article presents a perspective on tax policy through the lens of the Laffer Curve, suggesting that optimal tax rates can maximize government revenue [8][9]. - It highlights that despite discussions of recession, sectors like high-end consumption and government spending, which have supported economic growth, are now showing signs of decline [8][11]. - The article expresses optimism about the market's future, suggesting it is gradually overcoming pressures from interest rates, market concentration, and valuation issues [8][11]. Group 4: Rolling Recession and Monetary Policy - The article defines "rolling recession" and discusses its current state, indicating that real GDP has begun to decline, with negative growth reported in the first quarter [11][20]. - It notes that the Federal Reserve's aggressive interest rate hikes have led to stagnation in housing sales and manufacturing, contributing to the recession [21][27]. - The article emphasizes that consumer confidence has plummeted across all income levels, with low-income consumers particularly affected [38][39]. Group 5: Market Dynamics and Future Trends - The article predicts that truly disruptive innovations will see significant market value growth over the next five years, while traditional market segments may experience limited growth [8][61]. - It discusses the potential for a new market environment characterized by fluctuating interest rates and lower-than-expected inflation, drawing parallels to historical economic conditions [64][66]. - The article concludes with a positive outlook for the market, suggesting that it is moving towards a productivity-driven recovery that could end the current rolling recession [8][11].

Core Insights - Stripe announced a series of new product launches at its annual user conference, Stripe Sessions, including an AI-based payment model, stablecoin-supported account services, and a new Orchestration solution [1][4] - The new AI model is trained on billions of transaction data, enhancing fraud detection capabilities significantly, with a reported 64% improvement in detection rates for large enterprises [2][3] AI-Based Payment Model - The AI foundation model captures hundreds of nuanced signals in each transaction, which previous models could not achieve [1] - The old model reduced card testing attacks by 80% over two years, showcasing the effectiveness of Stripe's fraud detection efforts [1] - The new model employs self-supervised learning, allowing it to autonomously discover features and adapt to changing fraud patterns [3] Stablecoin and Multi-Currency Solutions - Stripe plans to collaborate with startups like Ramp, Squads, and Airtm to launch multi-currency cards supported by stablecoins, enabling multinational companies to operate in a unified currency [3][4] - This initiative follows Stripe's acquisition of the stablecoin platform Bridge three months prior [4] Orchestration and Payment Services - The Orchestration feature allows businesses to manage and optimize multiple payment service providers from a single dashboard, regardless of whether Stripe is used as the payment processor [4] - Stripe highlighted several AI companies using its billing products, including OpenAI and Anthropic [4] Additional Announcements - Stripe expanded its payment method support to 125 options, including UPI and PIX [7] - The company introduced a new "Managed Payments" service to assist businesses with global tax, fraud prevention, and dispute management [7] - Stripe Tax now covers 102 countries, up from 57, automating the entire tax lifecycle from monitoring to reporting [7]

图片来源： Unsplash 微软已聘请一位曾在 Meta 和华纳时代任职的资深营销高管，担任该公司 Copilot 消费者人工智能聊 天 bot 的创意总监，据透露。此次招聘表明，在日益拥挤的市场中， AI 公司正开始将注意力集中在 营销其 AI 聊天 bot 上。 • 微软聘请前Meta首席创意官马克·达西担任Copilot创意总监，强化品牌建设与产品设计，应对 OpenAI、谷歌等对手的营销竞争。 • 达西曾主导Meta旗下多平台广告战略，其加入或推动Copilot在消费者市场的差异化定位。 • 虽Copilot集成于Windows、必应等生态推动用户增长，但Similarweb数据显示其市占率不足5%， 远低于ChatGPT。 马克 ·达西（ Mark D ' Arcy ）曾在 Meta 担任营销高管长达十年直至 2021 年离职，他将向微软人工 智能 CEO 穆斯塔法·苏莱曼（ Mustafa Suleyman ）汇报工作。 苏莱曼领导的部门主要负责 Copilot ——一款类似 ChatGPT 的聊天机器人，该产品已深度集成至微软 Windows 操作系统、必应搜索引擎及 Edge 浏览器中，同时 ...

图片来源： Unsplash OpenAI 为日本、印度、新加坡和韩国的 ChatGPT 企业版、 ChatGPT 教育版及 API 用户推出了数据 驻留选项。 此举允许符合条件的客户将数据存储在这些国家境内，助力企业遵守当地数据主权法规。 API 用户可通过创建新项目并选择首选区域启用该功能，而 ChatGPT 企业版和教育版客户则可设置 工作区，实现包括用户对话、提示词及上传文件在内的本地化数据存储。 这一举措基于 OpenAI 现有的数据隐私与安全措施，包括对静态数据采用 AES-256 加密，对传输中数 据使用 TLS 1.2 + 协议。 OpenAI 同时澄清，除非用户明确选择加入，否则不会使用客户数据来训练其模型。数据驻留功能旨 在让客户对其数据拥有更多控制权，同时遵守 GDPR 和 CCPA 等全球标准。 深入思考： 1.亚洲不断演变的数据主权格局推动本地化策略 OpenAI 扩展数据驻留选项反映了亚洲日益复杂的监管环境，各国数据本地化法律差异显著。 许多亚洲国家已实施严格的数据主权法律，要求企业将公民数据存储在本国境内，如中国的《个人信 息保护法》和印度的《数字个人数据保护法》所示。 企业若不 ...

图片来源： YouTube Z Highlights 埃里克 · 施密特（ Eric Schmidt ），前谷歌 CEO ，曾担任美国国家安全委员会 AI 事务负责人，现任 Relativity Space 公司董事长，是全球 AI 战略与技术治 理的重要声音之一。本次对谈录音于 2024 年在 YouTube 频道《 AI Founders Journey 》发布，聚焦创始人心理、人工智能竞赛、中美开源博弈及超级智能 时代的社会挑战。 创始人心理：从天赋到验证机制 主持人： 大家好，欢迎收听《 AI 创始人之旅》第一期节目。我是主持人 Air 。今天非常高兴邀请到我的朋友 Eric Schmidt 。他曾担任谷歌 CEO ，现在 是 Relativity Space 的首席执行官。嗨， Eric ，很高兴再次见到你。顺便祝贺你获得新职位。首先，你想怎么介绍自己？ Eric Schmidt ： 我曾是谷歌的首席执行官，现在担任 Relativity Space 的董事长，这是一家专注于大型火箭的私营航天企业。很多人可能不知道，其实我并 不是那种典型的创业者类型。 主持人： 有趣，那我们就从这里聊起吧。作为创始 ...

该公司的网站创建工具名为 Figma Sites 。这家初创企业表示，设计师常在 Figma 内构建网站外观原 型。借助这款新型 AI 工具，他们能轻松创建并发布网站。 网站生成后，协作者无需额外指令即可通 过编辑器直接修改站点元素。 通过此次发布，该公司正与 Canva 和 Adobe 等创意解决方案展开竞争，同时对标 WordPress 、 Wix 、 Hostinger 和 Replit 等 AI 驱动的网站与原型创建平台。 图片来源： Figma 用户还能在确保网站响应式设计的同时，添加过渡效果、动画及滚动特效。 Figma 正为其网站增加直 接生成博客文章的功能，这意味着 Sites 将内置内容管理系统（ CMS ）——这项即将上线的功能允 许用户在博客设计界面内编辑文章，并管理缩略图、 URL 别名等其他素材。 设计公司 Figma 推出多项新功能，包括基于 AI 的网站与网页应用创建工具、面向营销人员的批量素 材生成方式，以及一款全新绘图工具。 对于股票行情等交互元素，您可以添加自定义代码或利用 AI 生成代码。 另一方面， Figma Make 是一款类似的 AI 驱动工具，更侧重于创意构思和 ...