这期间，作为最早一批在产品内落地 AI 的应用，Notion 也陆续上线了 AI 功能，包括 Al Meeting Notes、Notion AI for Work 和 Research Mode 等等。而这一次 3.0 版本的目标是，打造一个「AI 工作空 间」，让 Notion AI 学会使用这些基础模块功能，能够完成实际工作。 2016 年，Notion 在 Product Hunt 上发布，迅速爆红。随后，Notion 开始实现盈利，成 为硅谷的明星初创公司之一。 2018 年，Notion 2.0 上线，引入数据库功能。用户不再局限于简单的文本记录，而是 可以通过表格、看板、日历、列表、画廊等多种视图来组织和管理信息。 2025 年，Notion 3.0 上线，引入 Agent 功能，Agent 能够像一个内置在 Notion 中的队 友一样处理多步骤的、手动的任务。 接下来，介绍下这次 Notion 3.0 更新的具体情况。 相关文章：Founder Park 此前的一篇文章介绍了 Ivan Zhao 是如何思考和做 AI 产品，值得一读。 《Notion CEO Ivan Zhao：好的 AI ...

周二，OpenAI 发布了用于编程任务的 GPT-5-Codex 模型 ，Codex 具备能够与开发者即时协作，以及能 长时间独立完成冗长复杂任务等特点。 OpenAI Codex 团队在一场线上活动中提到，他们也在积极地使用 Codex 来构建 Codex 产品本身。 总结来说，Codex 已经全面融入到了 OpenAI 内部开发流程当中。 这篇博客文章，详细地介绍了内部工程师们在日常工作中是如何使用 Codex 的，同时结合内部使用数 据，给出了一份真实用例和实践指南。 文章很详细，不止是针对使用 Codex，实际上是总结了一套方法论：如何通过提供精准的上下文、结构 化的指令以及优化的环境等，将 AI Ccoding 工具从一个「代码补全玩具」 训练成一个可以深度融入专 业开发流程的「初级工程师」 。 01 本篇文章来自「宝玉老师」编译版本。 原文链接： https://cdn.openai.com/pdf/6a2631dc-783e-479b-b1a4-af0cfbd38630/how-openai-uses-codex.pdf 超 13000 人的「AI 产品市集」社群！不错过每一款有价值的 AI 应 ...

Core Insights - The article discusses the transformative impact of AI across various industries, focusing on the real-world applications and usage of AI products, particularly through the lens of OpenRouter's backend data [3][4]. Group 1: AI Product Rankings - OpenRouter's top 10 AI applications by call volume as of September 2025 include Kilo Code, Cline, BLACKBOX.AI, Roo Code, liteLLM, SillyTavern, ChubAI, HammerAI, Sophia's Lorebary, and Codebuff [5][6]. - Notably, well-known applications like Cursor and GitHub Copilot are absent from this list, as they typically utilize self-built services or directly integrate with Azure and OpenAI, rather than relying on third-party routing [6]. Group 2: Developer Preferences - Over 13,000 developers participated in the "AI Product Marketplace" community, indicating a strong interest in discovering valuable AI applications [7]. - The ranking reflects a clear preference for coding agents, which occupy six of the top ten spots, highlighting the essential demand for developer tools [10]. Group 3: Kilo Code - Kilo Code, developed by a remote-first team, aims to automate repetitive programming tasks such as dependency management and bug fixing, allowing developers to focus on architecture and innovation [12][14][16]. - It integrates over 400 models, enabling users to call them directly without complex API configurations, and offers a zero-commission pricing model with a $20 free credit [21][24][25]. Group 4: Cline - Cline, another prominent coding agent, emphasizes a "self-sufficient yet controllable" approach, allowing developers to confirm each step of the coding process [29][31][33]. - It has raised approximately $32 million in seed and Series A funding, with over 500,000 stars on GitHub and more than 2 million installations on VS Code [30][38]. Group 5: BLACKBOXAI - BLACKBOXAI positions itself as a comprehensive commercial AI coding agent, offering both a VS Code extension and a web app for various user interactions [40][41]. - It has surpassed 10 million users and 4 million VS Code installations, with a subscription model ranging from $9.99 to $99.99 per month [50][51][52]. Group 6: Roo Code - Roo Code is an open-source VS Code plugin that allows local AI agent usage for reading, writing, and debugging code, emphasizing user control and privacy [53][54][57]. - It has completed $6.4 million in seed funding and is designed to run in offline environments for enhanced security [64]. Group 7: liteLLM - liteLLM is an open-source library that simplifies the integration of over 100 language models, providing unified access and cost tracking features [67][69][73]. - It was founded by Krrish Dholakia and Ishaan Jaffer, raising approximately $1.6 million in seed funding [73]. Group 8: SillyTavern - SillyTavern is a local front-end tool designed for advanced users, allowing seamless interaction with various AI models while providing extensive customization options [75][78]. - It is a community-driven project with over 200 contributors and has not yet sought external VC funding [79]. Group 9: ChubAI - ChubAI is a GenAI platform aimed at content creators and role-playing enthusiasts, offering high customization and immersive experiences [82][86]. - It operates on a subscription model, relying on user engagement and product development for growth [88]. Group 10: HammerAI - HammerAI focuses on privacy and creative expression, allowing users to engage in interactive storytelling and character dialogue without cloud dependency [90][92]. - It supports offline usage and does not require user registration, appealing to privacy-conscious individuals [95]. Group 11: Sophia's Lorebary - Sophia's Lorebary enhances existing role-playing tools by providing lorebook, scenario, and plugin management capabilities, enriching user experiences [101][102]. - It is an open-source project led by community volunteers, currently without public funding records [106].

Core Insights - The entrepreneurial paradigm in the AI era differs significantly from that of the mobile internet era, emphasizing the need for a more targeted approach to user acquisition and product development [2][7][8] Group 1: User Acquisition and Market Fit - In the AI era, startups should focus on identifying "prosumers," who have a better understanding of technology and are willing to invest time and money into products that add value to their lives [7][10] - The previous strategy of aggressively acquiring users through free offerings is less applicable; instead, a more selective approach is necessary to find the right users to engage with [8][14] - Startups must consider how to convert the capabilities of large models into product features that attract initial users and create a sustainable competitive advantage [7][11] Group 2: Cost Management and Efficiency - The cost structure in AI entrepreneurship is evolving, with the marginal cost of acquiring users now being a significant concern, as each additional user incurs additional inference costs [29][36] - The inference costs of large models have decreased by over 90% in the past two years due to advancements in hardware and model optimization [29][30] - Entrepreneurs are encouraged to prioritize building a loyal user base before focusing on cost reduction and efficiency improvements [32][36] Group 3: Product Development and Innovation - The focus should be on enhancing productivity and efficiency through AI, with an emphasis on creating products that significantly improve operational capabilities [15][17] - Successful entrepreneurs are those who understand both the technical aspects of AI and the human elements of user needs, allowing them to create products that resonate with their target audience [21][22] - The ability to adapt and innovate in response to user feedback and market demands is crucial for maintaining a competitive edge [49][50] Group 4: Funding and Financial Strategy - Some startups are choosing to operate without external funding, relying on strong cash flow and profitability to sustain growth, which allows for greater control over their business direction [25][27][28] - Entrepreneurs are advised to have a clear understanding of their financial needs and the purpose of any funding they seek, rather than pursuing investment for its own sake [28][36] Group 5: Competitive Landscape and Barriers to Entry - The concept of a "moat" in the AI era is evolving; it is not solely about user scale but also about the comprehensive capabilities that a startup can offer [44][46] - Startups must leverage their industry knowledge and optimize their offerings to differentiate themselves from competitors, including larger firms [44][46] - The ability to effectively acquire users and maintain engagement is becoming increasingly challenging, necessitating innovative strategies for user retention and growth [45][46]

Core Viewpoint - The subscription model for AI services, particularly for products like Cursor, is becoming unsustainable as companies shift from unlimited access to usage-based pricing, reflecting the high costs associated with AI models [2][28]. Pricing Model Changes - Cursor has downgraded its subscription model, moving from a request-based pricing to a token-based system, eliminating the "unlimited" access previously offered [3][11]. - Kiro has also adjusted its pricing structure, indicating a broader trend among AI service providers to implement more transparent and usage-based billing [9][20]. User Experience Impact - Users are now facing higher costs for reduced service quality, as Cursor's new model dynamically selects cheaper models, potentially sacrificing user preferences for cost savings [13][14]. - The shift to variable pricing has led to confusion and dissatisfaction among users, who feel misled by the initial promises of unlimited access [24][25]. Industry Trends - The article highlights a recurring pattern in the AI industry where companies initially attract users with low-cost or unlimited offers, only to later impose restrictions and higher fees as usage increases [22][24]. - The future of AI pricing is likely to favor transparent, usage-based models that align with the economic realities of AI services, moving away from opaque and complex pricing structures [31][30].

张鹏科技商业观察 . 聊科技，谈商业。 以下文章来源于张鹏科技商业观察 ，作者张鹏 上个月又飞了一趟硅谷，与具身智能领域的科学家和创业者们进行了一些交流。 总结起来一个核心的体感是： 具身智能这个宏大的故事，还需要我们 有个「 五年耐心 」。 这 个判断，源于对它当下所处阶段、核心瓶颈以及未来演进路径的拆解。 一些核心观察： 超 13000 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： 拿一个尚不成熟的通用机器人，硬塞进一个以精准和效率为核心的工业产线里， 这件事现 在的挑战其实非常大 。 现在通用机器人，本质上是用「通用性」在交换「精准性」和「效率」。把 远未成熟的人 形机器人塞进产线，把「通用性」用到最需要高精准、高效率的场景中，多少是有些错位 的。 一个合理预期是， 一到两年内， 具身智能 有望迎来它的「GPT-3.0 时刻」，即 在实验室 环境下，圈内人将看到机器人的通用模型（大脑+小脑）明显的技术突破，并对主流技术路 线达成共识。 用于机器人训练的「现实数据」生产，存在三个局限： 一是规模上不去 ；二是 成本下不 ...

如果构建一个生产级别可用的 AI Agent 系统？有哪些「坑」 可以避免？ Shopify 最近更新了一篇经验贴。以面向商家服务的 AI 助手 Sidekick 为例，分享了其从一个简单的工具调用系统演变成了复杂的 AI Agent 平台过程中， 在架构设计、评估方法和训练技术等方面的经验。 简单来说，Shopify 给出了四条核心建议： 文章内容转载自宝玉老师编译版本。 原文链接： https://shopify.engineering/building-production-ready-agentic-systems 超 13000 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： 在 Shopify，我们一直在打造 Sidekick，一个由 AI 驱动的助手，帮助商家通过自然语言交互来管理他们的店铺。从分析客户群体到填写商品表单，再到驾 驭复杂的后台界面，Sidekick 已经从一个简单的工具调用系统，演变成了一个复杂的 AI 智能体 （AI Agent） 平台。一路走来，我们在架构设计、评估方 法和训练技术上学到了宝 ...

Core Insights - The article highlights the distinct user mindsets and usage patterns of OpenAI's ChatGPT and Anthropic's Claude, indicating that ChatGPT is more suited for conversational tasks while Claude is geared towards executing tasks [4][5][6] User Demographics and Engagement - ChatGPT has reached 700 million weekly active users, representing about 10% of the global adult population, while Anthropic has provided insights into both consumer and enterprise usage for the first time [4][22] - The user base for ChatGPT has shown rapid growth, surpassing 1 million users within five days of launch and reaching 350 million within two years [22] - The proportion of non-work-related messages sent by ChatGPT users increased from 53% in June 2024 to 73% in June 2025, indicating a shift towards more casual usage [25] Usage Patterns - ChatGPT is primarily used for practical guidance, information seeking, and writing, with these categories accounting for approximately 77% of use cases [30] - Claude's usage is shifting towards automation, with 39% of interactions being directive automation, surpassing collaborative enhancement interactions [42] - In terms of task types, writing tasks account for about 40% of work-related messages in ChatGPT, while coding tasks have become more prevalent in Claude's usage [28][20] Task Execution and Collaboration - ChatGPT's interaction model is conversational, allowing users to refine results through dialogue, while Claude's model is more directive, focusing on task completion [18][9] - The report indicates that 77% of enterprise tasks using Claude are automated, highlighting a preference for systematized task execution over collaborative efforts [54][55] - The analysis shows that higher-income countries utilize AI for diverse knowledge work, while lower-income countries focus on single programming tasks [46] User Characteristics - The user demographic for ChatGPT is becoming more balanced in terms of gender, with a notable shift towards female users by mid-2025 [34] - Younger users (18-25 years) send a significant portion of messages, but older users tend to have a higher proportion of work-related messages [40] Economic Implications - The report suggests that the automation of tasks through AI could lead to significant economic transformations and productivity enhancements [20] - Companies are increasingly willing to engage in high-cost tasks, indicating a focus on capability and value rather than cost [60][61]

Core Insights - Plaud is one of the few profitable AI hardware startups, recently launching the upgraded Note Pro with a larger battery and a 0.95-inch micro-screen, aiming for an annual revenue of $250 million [2][4][6] - The company has adopted a "hardware + subscription" business model, with approximately half of its revenue coming from annual AI subscription services [6][11][13] - Plaud's founder, Xu Gao, emphasizes the importance of user consent for recording and positions the product as a professional tool rather than a device for covert recording [6][11] Group 1: Company Overview - Plaud's NotePin device has sold over 1 million units since its launch in 2023, targeting busy professionals like doctors and lawyers [4][10] - The company has not relied on venture capital for growth, instead funding itself through personal savings and a crowdfunding campaign [6][10] - Xu Gao believes that wearable AI devices will become more prevalent than smartphones in the next decade [7] Group 2: Market Position and Competition - Plaud is positioned as a leader in the wearable AI device market, ahead of competitors like Rabbit and Humane, which have faced challenges [5][14] - The company focuses exclusively on overseas markets to avoid intense competition in China [10] - Major tech companies like Apple and Microsoft are expected to enter the market, but Xu Gao believes it will take years for them to develop truly disruptive products [14][15] Group 3: Financial Performance - Plaud's annual revenue is projected to reach $250 million, with a profit margin comparable to Apple's 25% on iPhones [4][6] - The company is actively seeking to improve its financial status to attract more U.S. investors and raise $500 million for future growth [12][13] Group 4: Future Outlook - Xu Gao plans to expand Plaud's product line to include new forms of devices like rings and headphones, aiming to enhance human intelligence [15] - The company is also developing specialized templates for various professional scenarios to better serve its core user base [10]

近期有哪些值得参加的 AI 活动？ 9 月 17 日 -21 日，硅星人将举办为期 5 天的「AI 创造者嘉年华」，包括 AI 技术交流、产品 Demo、黑 客松、创作者分享、工作坊等。 RTE 开发者社区将举办一场 Voice Agent Camp 活动，展示包括 AI 语音客服、AI 陪伴等领域的 17 个 demo。 此外，我们还整理了近期值得参与的一些活动，对更多活动感兴趣的小伙伴，可以点击文末的 「阅读 原文」 查看。 ACC 2025 AI 创造者 嘉年华 主办方： 硅星人 x 中关村科学城公司 x 中关村创业大街 活动时间： 2025.9.17-9.21 活动地点： 中关村创业大街 活动亮点 ： 主街区变舞台，围炉对谈、落日辩论、开放麦轮番上演 20 + 社区、50 + 企业、百家媒体共建，街区成实践剧场 60 + 展位集市 + 打卡互动 + AI 人才角，释放 Builder 街头能量 面向人群： AI Builder 报名详情： http://t.weimob.com/CC_UZe4 Demo Day@Voice Agent Camp 主办方： RTE 开发者社区 活动时间： 9.22 13 ...