另外一个重要功能就是 ChatGPT 正式支持 MCP 协议，例如，直接连接 Github 、 SharePoint 、 Gmail 、 Dropbox 、 Box 、 Outlook 等常用工具，实现跨平台数据整合、搜索和推理。 文章转载自「Datawhale」 今天凌晨 1 点， OpenAI开始 技术直播对 ChatGPT 进行了重大更新，包括向 macOS 用户推 出 ChatGPT 会议记录模式，可以转录任何会议、头脑风暴或语音笔记，并快速提取要点然后转 化为新的内容。 简单来说，OpenAI希望把ChatGPT打造成智能协作平台，在一个地方就把所有事情都做了。 超 6000 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： 最新、最值得关注的 AI 新品资讯； 01 ChatGPT 支持 MCP 在如今数据爆炸时代，我们每天需要处理海量内容，从邮件、ERP、CRM、SharePoint等提取 不同的数据进行分析、总结需要耗费很多时间。 而ChatGPT通过支持MCP协议，可以将这些日常工具直接与大模型相连，帮助我们 ...

Core Viewpoint - In the AI era, taste is becoming a new scarce resource, as production is no longer limited. Companies must focus on creating products that convey a unique philosophy rather than just functionality [2][4]. Group 1: Importance of Taste - Taste is difficult to quantify and process, yet it is essential for creating products that resonate with users [2][3]. - Taste is not merely about aesthetics; it involves thousands of consistent decisions that create a compound effect [4][12]. - Top founders understand that taste is a competitive advantage that permeates design, code, corporate culture, and even equity structure [5][6]. Group 2: Challenges in Defining Taste - Many companies confuse taste with aesthetics, believing that hiring a design firm or choosing a nice font is sufficient [7]. - True taste requires sacrifices, such as rejecting features that could expand market size or spending time optimizing details that users may not notice [8][9]. Group 3: Taste and Rapid Iteration - Taste is not the opposite of speed; rather, it is a prerequisite for sustainable speed in product development [9][10]. - A clear understanding of what to build and why can reduce rework and speed up decision-making processes [11]. Group 4: The Compound Effect of Taste - Taste transforms chaos into clarity, allowing teams to navigate numerous small decisions intuitively [11]. - A product that feels well-considered leads users to trust its infrastructure, security, and future planning [12]. Group 5: Sales with Taste - Early sales hires should view sales as a craft, ensuring they understand the company's vision and can empathize with users [13][14]. - High-quality sales interactions teach potential customers how to understand the product, reinforcing the company's values [15]. Group 6: Scaling Taste - Scaling taste requires systematic approaches, starting with founder oversight on user-facing decisions to ensure consistency [18]. - Hiring talent that bridges vision and execution is crucial for maintaining taste [19]. Group 7: The Nature of Taste - Taste cannot be directly taught; it is developed through practice and experience [21]. - Founders can clarify their taste by explaining their choices and establishing shared quality standards [21]. Group 8: Limitations of Taste - Taste does not dominate all markets; companies can succeed even with less appealing designs if they solve urgent problems [23]. - Understanding the competitive environment is key; taste becomes critical when alternatives are available [23]. Group 9: Long-term Benefits of Taste - Taste resists commoditization as it integrates into a philosophy of decision-making [24]. - The rewards of taste are immediate and accumulate over time, leading to user forgiveness for missing features and attracting top talent [24][25].

以下文章来源于叶小钗 ，作者叶小钗 叶小钗 . 原为鹅厂、ctrip、baidu、一线开发，B站技术专家，某独角兽技术负责人，AI产品项目负责人，CEO数字分身负责人，产品数字CTO负责人 本文作者叶小钗是一位 「 AI + 管理 」 领域的创业者，在成为创业者之前，他曾在腾讯、百度等大厂任职开发工作，也曾是B站的技术专家。 与多数创业者相似， 叶小钗 因为对管理的热爱以及在实际工作中积累的管理经验，萌生了「 AI + 管理 」创业的想法。 不过，与以往的文章不同的是，这不是一篇创业成功的经验分享， 而是一份坦诚地创业失败实录。 从想要创业的涌动，到 创业实践中的自我审视与复盘，到最后理性退场， 叶小钗在这篇文章中完整且细腻地分享了他的心路变化。 超 6000 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 创业的小火苗 关于为什么要做管理领域的创业，简单来说可能是： 第一，我内心深处可能喜欢这个东西 。 因为我从小比较喜欢看历史纪录片，对于各种变法强国是发自内心的喜欢，比如 商鞅、王安石、张居正 ... 当时在我内心 ...

Core Viewpoint - The AI programming tool Windsurf is facing significant challenges due to a sudden reduction in service quotas for its Claude models by Anthropic, which has forced Windsurf to seek third-party inference services to maintain user experience [1][8][11]. Group 1: Windsurf's Response and Challenges - Windsurf expressed strong dissatisfaction with Anthropic's abrupt decision to cut off service resources, which they claim could negatively impact not only their company but the industry as a whole [5][11]. - The company is actively seeking additional resources from other model providers while emphasizing their commitment to maintaining access to Anthropic's models and their willingness to pay for service resources [9][10]. - Users may experience temporary resource shortages while Windsurf works to increase capacity, but the overall impact is deemed manageable [12]. Group 2: Competitive Landscape - The AI-assisted coding sector is becoming increasingly competitive, with Windsurf's annual recurring revenue (ARR) reaching $100 million in April, indicating rapid growth as it attempts to catch up with competitors like Cursor and GitHub Copilot [28]. - Windsurf's inability to access Anthropic's new models could hinder its growth momentum, especially as competitors like Cursor have already gained access to the latest Claude 4 model [29][13]. - Anthropic is prioritizing service resources for partners that ensure ongoing collaboration, which may further disadvantage Windsurf in the competitive landscape [26]. Group 3: Product Developments - Windsurf has launched its own large model series, SWE-1, in mid-August, which may provide an alternative for users during this transitional period [30]. - The introduction of Claude 4 has led some users, such as those focused on Apple's Swift programming language, to switch to Cursor for better collaboration capabilities [17].

Core Viewpoint - The article discusses the transformation of software development through the advent of large language models (LLMs), suggesting that the marginal cost of software creation will approach zero, similar to the impact of the internet on content production [3][6]. Group 1: Evolution of Software Development - The introduction of LLMs is predicted to lead to the dissolution of traditional software as a "container," shifting the focus from writing code to describing needs [10][15]. - The historical context is provided by comparing the launch of YouTube in 2005, which democratized content creation, to the current state where a simple prompt can generate software solutions [8][10]. - The article emphasizes that the process of software creation will become as accessible as content creation, allowing anyone to turn ideas into products with minimal effort [8][10]. Group 2: Cost and Trust Dynamics - As the cost of software generation decreases, trust will become a critical factor in determining which systems can effectively represent user needs [11][14]. - The article notes that traditional software companies may struggle as free distribution models gain dominance, similar to how print media faced challenges from digital platforms [11][12]. Group 3: The Future of Software - The ultimate conclusion is that the traditional notion of software will fade away, with functionality becoming ubiquitous and easily accessible, marking the "end of software" as a distinct entity [15][16]. - The article posits that as logic can be invoked and combined freely, the concept of software containers will become obsolete, leaving only the functions themselves [15][16].

Core Insights - Marketing is still necessary for high-profile products like ChatGPT, focusing on creating "use case insights" to help users understand the product's practical applications and value rather than just increasing brand awareness [1][6][8] - Effective marketing requires collaboration across the entire company, not just the marketing department, and should be integrated from the product development stage [2][6][14] - Marketing efforts are only valuable once product-market fit (PMF) has been established, emphasizing the need for a clear understanding of the product's market position before investing in marketing [3][12][23] Group 1 - The core of marketing is to help users realize how to utilize ChatGPT effectively, addressing their pain points regarding its application [8][9] - A diagnostic thinking framework is essential for identifying the real problems to solve, rather than following a standard marketing funnel blindly [9][17] - Companies should avoid price wars, especially in the AI sector, as differentiation should meet user desires for novelty and unique value rather than just being cheaper [23][24] Group 2 - Marketing content is an integral part of the product experience, and high-quality content can significantly influence user perception and engagement [29][40] - Establishing a review process for marketing initiatives can enhance consistency and quality, ensuring that new team members can quickly adapt and contribute effectively [34][36] - The concept of "capital M marketing" versus "lowercase m marketing" highlights the need for a cohesive marketing strategy that aligns with the company's overall mission and values [16][14] Group 3 - The importance of understanding the unique context of each company is emphasized, as successful marketing strategies are often tailored to specific environments and cannot be copied directly from others [15][21] - The "DATE" framework (Diagnose, Analyze, Take a different path, Experiment) is proposed as a practical approach for developing effective marketing strategies [20][17] - In the AI era, the significance of taste and quality in content creation is heightened, as AI tools can produce vast amounts of content, but only those with a genuine understanding of the product and customer can stand out [47][49]

Core Viewpoint - The article discusses the significant upgrades in the Fellou browser, particularly the transition to version 2.0, which aims to create a more integrated and efficient AI assistant akin to Jarvis from the Marvel universe, enhancing user experience and task execution capabilities [4][5][6]. Group 1: Why Agentic Browser? - The Agentic Browser is designed to understand user needs and automate complex tasks, fundamentally changing how users interact with the internet and computers [8]. - Fellou's unique architecture combines Browser, Workflow, and Agent components, allowing it to function like an "autonomous surfing" browser [8]. - The goal is to free users from repetitive tasks, enabling them to focus on more fulfilling work while Fellou handles mundane tasks [9][11]. Group 2: Fellou 2.0 Features - The upgrade to Fellou 2.0 has resulted in a speed increase of 1.2 to 1.5 times compared to version 1.x, with significant improvements in task execution speed [13][14]. - The success rate for task completion has risen dramatically from 31% to 80%, showcasing enhanced reliability and performance [14][29]. - Fellou can now execute multiple tasks simultaneously, improving user productivity and efficiency [20][23]. Group 3: Key to Success - Eko 2.0 - Eko 2.0 is a crucial open-source infrastructure that has contributed to the improved task success rate, providing essential capabilities for browser and computer use [34][35]. - The framework supports multi-agent collaboration and task management, enhancing the overall functionality of Fellou [35]. Group 4: Future Plans for Fellou - Upcoming features include a Windows version, removal of the invitation system, and enhancements in model intelligence for richer deliverables [36]. - Continuous optimization of user experience is planned, focusing on speed, interaction quality, and additional functionalities [36].

文章转载自新智元。 互联网女皇、传奇投资者Mary Meeker，再度出山！ 曾经，女皇的《互联网趋势报告》一出，整个科技圈都要抖三抖。硅谷大佬觉都不睡了，都要连夜研读 这份刷屏圈内头条的重磅报道。 蛰伏几年后，她带着一份340页重磅报告，又回来了。 这一次，她瞄准了AI界的当红炸子鸡OpenAI。 在各个创始人和CEO的圈子，这份报告已经全面爆火 在这份340页报告中，51次出现「前所未有」这个词，核心要点就是——AI驱动的这场变革已经全面且 不可逆转，既是机遇遍地的黄金时代，也是奇点的「关键时刻」！ 超 4000 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 女皇本皇，五年后回归 Mary Meeker，大名鼎鼎的互联网女皇。 最新、最值得关注的 AI 新品资讯； 不定期赠送热门新品的邀请码、会员码； 最精准的AI产品曝光渠道 曾经，她是曾是摩根士丹利TMT团队的一员。这个团队分量举足轻重，曾经领导了Netscape的IPO，这 直接开启了1996年的互联网繁荣！ 在1996年，她发布了《互联网趋势报告》的第1版 ...

以下文章来源于张鹏科技商业观察 ，作者张鹏 张鹏科技商业观察 . 聊科技，谈商业。 最近一段时间，曾经在内网非常火爆也争议巨大的 Manus，除了之前看到了获得海外主流基金 7500 万美元融资的新闻，似乎讨论的热度降低了 不少。不过这几天圈子里传出未经官方认证的消息：Manus 已经近 1 亿美金 ARR，并站到了 20 亿美金的估值上。 Manus 面世后，国内和国外评价反差巨大。今年 3 月在国内声量突起，但很快出现了大量质疑和批评。由于极客公园比较早地报道了 Manus，并 且给予了较高评价，当时不止一个人说我「你们极客公园这是赌上了 15 年声誉，去捧一家公司啊！」 有道是三人成虎，这没来由的话弄得我一度很惶恐，甚至反思我们的判断是不是真的「业余」了？ 后来我发现，还真没什么需要反思的，因为当我把视线投向海外，尤其是硅谷，就发现 Manus 虽然没有像在国内那样被集体热烈讨论，但总体上 那边 AI 圈子里的人却趋向好评。 Manus 这样的产品，背后连接着所有的顶级模型，每多一次任务执行，都在消耗着背后大模型的 token、云厂商的算力。如果真的 Manus 的 ARR 已经接近 1 亿美金，那你算 ...

文章转载自「白鲸出海」 AI 时代下，小团队创业正在成为一种趋势。 AI 的到来可能已经彻底改变了团队疯狂扩张、多轮融资的传统创业叙事。 近日，一份名为「顶尖精益 AI Native 公司排行榜」的名单在 linkedin 引发广泛关注，这份名单细致罗列了 31 家团队规模较小（少于 50 人），但营收非 常可观（ARR>500 万美元）的初创公司。 | Company | | Description | Location | Annual | # of Employı | RevenuwEmp | Profitable | Total Funding | Valuation | Valuation/Emp | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | Revenue | | | | | | loyee | | Telegram | | Messaging | Dubal | $1,000,000,000 | 30 | $33,333,333 | Yes | $3,200,000,000 | $3 ...