Core Viewpoint - OpenAI has agreed to acquire Windsurf for $3 billion, highlighting the growing importance of AI programming tools in the software development industry [1] Group 1: SWE-1 Model Overview - Windsurf has launched its AI programming model, SWE-1, which focuses on the entire software engineering process rather than just coding tasks [1] - SWE-1 features "Flow Awareness," allowing for a seamless collaboration between AI and users, where AI performs tasks, users provide corrections, and AI continues the process [1][34] - The SWE-1 series includes three models: SWE-1, SWE-1-lite, and SWE-1-mini, catering to different user needs and performance requirements [5][28] Group 2: Development and Evaluation of SWE-1 - The development of SWE-1 was inspired by the popular Windsurf editor, utilizing a new data structure and training method to understand incomplete states and long-term tasks [13][14] - SWE-1 has been evaluated against leading models like Anthropic's series and has shown competitive performance in both offline assessments and real-world usage [21][22] - The model's performance metrics include the number of code lines accepted by users and the contribution rate of code changes made by the model [24][26] Group 3: Importance of Flow Awareness - Flow Awareness is a key design principle for Windsurf, enabling a shared timeline between AI and users, which enhances collaboration and task management [33][34] - This system allows for continuous tracking of the model's capabilities and user interventions, facilitating a more effective development process [37][41] - The evolution of the shared timeline concept is central to Windsurf's goal of creating a comprehensive software engineering timeline [39] Group 4: Future Prospects - SWE-1 is just the beginning, with Windsurf aiming to continuously improve the SWE series models while maintaining low costs and enhancing performance [42] - The acquisition by OpenAI marks a new era for AI programming tools, transforming the software development landscape [42][43]

Lovart 值得关注，它是 AI 应用层团队产品创新能力的印证和延续，这是 Manus 之后最火的 Agent，从通用领域，成功地向垂直赛道落地了 Agent 产品形 态。 据了解，Lovart 发布后，推特上出现近 5000 条讨论帖，官方视频播放近百万，获得马斯克点赞、Grok 官方发帖讨论。24 小时内，waitlist 申请人数超过 2 万。 （一个使用 Lovart 制作的 Lovart 宣传片） 基础形态上，Lovart 看起来与 Manus 很像，一个能够调用工具的 Agent，替用户完成任务。 但 Lovart 在垂直领域更进一步，它把一种需要多模态的「职业」变成了工作流再内化成 Agent，配以适合设计师使用的产品形态——画布。「画布」就是 「桌子」，还原到设计的原始状态，没有电脑，只有笔和纸，一个人有需求，一个人有能力，好的设计作品在这个场景中诞生。 「Lovart 现在当然是一个工具，但以后呢？它会是一个有职业属性的人，直接交付服务的结果。」 Lovart 创始人 & CEO 陈冕在 AI 设计领域有很多实践经验，他认为图像生成的 AI 产品，其实已经走到了第三个阶段。 1.0 阶段， ...

Core Insights - The article discusses the transformative impact of AI technologies on various industries, highlighting the emergence of AI products that enhance human-computer interaction and automate processes [1] - It emphasizes the importance of foundational technologies in driving the commercialization of AI applications, particularly in the fields of drug discovery and biological AI models [1][4] - A survey initiated by Founder Park aims to identify key players that are innovating at the intersection of technology, business, and application [2][3] Group 1: AI Product Development - AI Agent products are being integrated into business operations, enhancing the role of digital employees [1] - AI coding products are evolving towards full automation, shifting developers' focus from specific code lines to expected outcomes [1] - The launch of the DeepSeek R1 model marks a significant advancement in China's AI capabilities, fostering a new wave of entrepreneurial innovation [1] Group 2: Evaluation Criteria for Candidates - Candidates are evaluated based on their ability to innovate in business value creation, including operational processes and value distribution [4] - Innovations in user interaction and experience are crucial, focusing on natural, fluid, and sustainable interactions that improve workflows [4] - Breakthroughs in AI algorithms, models, and data processing are essential for candidates, showcasing their potential to influence industry ecosystems [4] Group 3: Focus Areas for Evaluation - The evaluation will cover startups and public companies primarily in China, focusing on the infrastructure, model, and application layers of the AGI industry [5] - The infrastructure layer includes companies providing data, computing power, and platforms essential for AI development [5] - The application layer encompasses a wide range of sectors, including image, text, audio, video generation, and enterprise applications [5] Group 4: Application Process - The application period runs from now until May 31, with evaluations taking place from June 2 to June 21 [8] - The evaluation process includes initial screening, secondary screening, and final assessments to determine the most valuable players in the AI space [8]

AI 工具聚合平台 Poe 发布了其最新一期的人工智能模型使用趋势报告。这次的报告分析汇总了从 2025 年 1 月至 2025 年 5 月期间，Poe 用户在文本、推 理、图像、视频和音频领域的每周使用数据。 在各种能力测评榜单之下，模型在真实场景下的能力如何？哪些模型更好用？Poe 的报告数据，反映了用户使用大模型时的一些真实需求和使用模式。 报告得出的几个核心观察点： Founder Park 正在搭建「 AI 产品市集」社群，邀请从业者、开发人员和创业者，扫码加群： 进群后，你有机会得到： 01 模型新版本推出速度太快， 市场份额消长明显 随着时间的发展，DeepSeek 模型的「爆红期」已经过去，同时其他定价合理、支持长上下文的推理模型也陆续发布， DeepSeek R1 的消息份额从 2 月中旬的 7% 峰值下降到 4 月底的 3%。 同一提供商发布的新一代旗舰模型往往会抢占其上一代模型/产品的市场份额。在此趋势下，Poe 订阅用户会迅速地转向使用新一代模型； 在 Poe 中，用户发给推理模型的文本消息总份额从约 2%上升到了约 10%，在 DeepSeek 热度高峰期达到顶峰。具备混合推理能力的 ...

文章转 载自 「 新智元」 刚刚，OpenAI 官宣：GPT-4.1 在 ChatGPT 中上线，用户可以直接使用。GPT-4.1 模型擅长编码任务和 遵循指令，生成速度更快，是 o3 和 o4-mini 的绝佳替代品。 一个月前，OpenAI 推出了新系列模型 GPT-4.1，在编程、指令遵循、长上下文方面表现优异。 GPT-4.1 此前仅通过 API 向开发者开放，在 ChatGPT 上线后，Plus、Pro 和 Team 用户可通过模型选择 器中的"更多模型"下拉菜单访问 GPT-4.1。企业版和教育版用户将在未来几周内获得访问权限。同时， OpenAI 还计划在 ChatGPT 中引入 GPT-4.1 mini 取代 GPT-4o mini。 Founder Park 正在搭建「 AI 产品市集」社群，邀请从业者、开发人员和创业者，扫码加群： 进群后，你有机会得到： 01 GPT-4.1， 比GPT-4.5还好？ 这次放出GPT-4.1，也算响应群众的呼声。 早在4月底，就有用户抱怨说：GPT-4.1简直是自己最喜欢的OpenAI模型，可惜在ChatGPT中并 不能使用。 最新、最值得关注的 AI 新 ...

Core Insights - Duolingo's Q1 financial report shows impressive growth with DAU at 46.6 million, up 49% year-over-year; MAU at 130.2 million, up 33%; and paid users surpassing 10.3 million, up 40% [1][2] Group 1: Financial Performance - Total revenue reached $230.7 million, representing a 38% year-over-year increase [2] Group 2: AI Integration - Duolingo has not been negatively impacted by AI; instead, it has leveraged AI to create 148 courses in one year, a process that would have taken 12 years using traditional methods [3] - The CEO announced a strategic shift to "AI-first," emphasizing the need to adapt to AI's transformative impact on the company [4][6] - AI is expected to enhance productivity and help achieve high-quality teaching by automating content creation, which previously required extensive manual effort [8] Group 3: AI Applications in Education - AI has revolutionized Duolingo's content creation process, allowing for a fully automated system that significantly reduces human labor and increases course offerings [11] - The use of AI in conversation practice has improved user engagement, as learners can practice without the fear of judgment from peers [12] Group 4: User Engagement Strategies - Duolingo has successfully gamified learning by shortening lesson durations from 30 minutes to 2 minutes, making it more appealing for users [15] - Features like "streaks" that track consecutive learning days have proven to be highly effective in maintaining user motivation [16] Group 5: Future of Education - The CEO believes that while AI will enhance educational scalability, traditional teachers and schools will still play a crucial role in student care [34] - The company anticipates a gradual transformation in education, with AI tools becoming more integrated into learning environments over the next 20 years [35][36]

Core Viewpoint - Notion is evolving into an All-In-One AI platform by integrating new AI features that enhance productivity and streamline workflows, particularly through AI Meeting Notes and enterprise-level functionalities [4][14]. Group 1: AI Meeting Notes - Notion has introduced AI Meeting Notes as a feature rather than a standalone product, seamlessly integrating it into existing workflows [3][6]. - The AI Meeting Notes function allows users to record meeting summaries, notes, and transcripts directly within Notion, enhancing convenience for existing Notion users [8][10]. - Users can customize the style of meeting notes based on different scenarios, such as fundraising or sales meetings, providing tailored templates for various contexts [10][11]. Group 2: Enterprise-Level AI Features - Notion has launched Notion AI for Work and Research Mode, which incorporates enterprise AI search capabilities and deep research functionalities, targeting business needs [13]. - The platform currently integrates with 10 applications, including Slack and Google Drive, with plans to add over 20 more integrations [13][14]. - The deep research feature generates reports in PDF or web formats, similar to existing research tools, enhancing data accessibility for teams [13]. Group 3: Vision and Pricing - Notion aims to become an All-In-One AI platform, consolidating various AI tools to create a comprehensive solution for workplace productivity [14][15]. - The subscription model is priced at $20 per month, offering unlimited access to features like Deep Research and AI Meeting Notes, presenting a cost-effective option for users [15].

Group 1 - The article highlights the latest AI product launches and updates from Founder Park, showcasing a variety of innovative tools aimed at enhancing productivity and creativity in different sectors [1][10][13] - Lovart is introduced as the world's first design agent capable of generating images and completing the entire design process using natural language [4][9][8] - Remio, developed by a former vice president of NetEase, is an AI-native note-taking tool that optimizes information capture and organization, enhancing user efficiency [10][13] Group 2 - Castwise, a new product from the Podwise team, addresses the content distribution challenges faced by podcast creators by transforming audio into various social media formats [14][18] - Quark has launched a "Deep Search" feature that allows users to plan their search actions systematically, showcasing improved task planning and understanding capabilities compared to traditional AI searches [20][23] - Deckspeed, a new AI PPT product, redefines document presentations with features like real-time feedback and visual optimization, suitable for various professional scenarios [25][28] Group 3 - Veogo AI is a video prediction tool that helps content creators understand trending topics and optimize their video strategies based on AI algorithms [29][31][32] - Splitti is a task management software designed to assist individuals with ADHD in initiating tasks and organizing their lives more effectively [34][39] - Nooka is an innovative app that transforms the reading experience into an interactive podcast format, allowing users to engage with book content dynamically [40][42] Group 4 - Metaso's new product, Mita, offers personalized knowledge explanations and recently introduced a feature to help parents understand difficult homework questions [43][45] - Miaojidu, developed by Kuaishou, is a note-taking product that allows users to capture and organize information in a conversational manner with an AI assistant [46][49] - Perplexity Comet is an upcoming AI browser that integrates agent functionalities for executing complex tasks, currently in beta testing [50][51] Group 5 - Paw Party is an AI game focused on pet care, developed by a former ByteDance AI Lab researcher, offering a light-hearted social gaming experience [51][53] - YouMind, created by the founder of Yuque, aims to assist users in transforming various content forms into editable drafts, facilitating the creative process [55][59] - Qwen has released an international version of its app, featuring advanced capabilities for image and video generation, as well as voice interaction [61][62]

「AI 带来的真正影响并非是让产品经理因不确定性的减少而失去价值，而是逐步淘汰那些不能掌握新 方法、新机遇的产品经理。」 近期，a16z 发布了《5 Principles for Product Managers Fending Off Obsolescence in the AI Era》，这是一 篇讨论在 AI 时代下，产品经理核心价值归宿的文章。 TLDR： 以下是文章的全文编译，在不改变原意的前提下进行了编辑。 Founder Park 正在搭建「 AI 产品市集」社群，邀请从业者、开发人员和创业者，扫码加群： 进群后，你有机会得到： 产品经理的核心使命始终在于应对各种不确定性——从产品执行路径、进行打磨优化，到数据分析 解读、精准把握客户需求，他们就像在混沌中寻找方向的破局者。随着 AI 技术的迅猛发展，不少人 断言，越来越强大的 AI 模型将使产品经理的角色逐渐失去价值。然而，这场关于产品经理未来价值 的讨论，实际上忽略了关键一点：在当下产品推向市场并实现规模化的过程中，不确定性并没有减 产品经理需要投入大量的精力，像调研客户需求那样去 「调研」 模型，深入挖掘模型的能力边界 与局限性。评估方案是 ...

大模型进入 RL 下半场。前段时间，OpenAI Agent Reseacher 姚顺雨的博客文章《The second half》掀起热议，从「模型算法」到「实际效用」， 如何重新定义问题和设计真实用例的 evaluation 变得尤为重要。 从评测基准到实际应用效果，现有的评估体系怎样有效衡量 Agent 产品的 ROI ？对于创企、希望 应用 AI 的企业来说，如何用好模型的测评结果来指导产品的开发落地？ SuperCLUE 在模型测评领域有着深厚的经验，与国内外众多模型及 Agent 团队保持着紧密的联系 与交流。 SuperCLUE 近期推出了中文通用 AI 智能体的测评基准 AgentCLUE-General，对主流 的 Agent 产品能力进行了深度剖析。 我们特别邀请到 SuperCLUE 的联合创始人朱雷，一起聊聊当前大模型、Agent 评估中的核心难 题。 本周四（5 月 15 日），20 点 - 22 点，线上分享 。目前还有少量名额，扫描下方海报二维码报 名。 更多阅读 Agent 产品如何定价？一文说清 AI 产品的四种付费模式 Agent 如何在企业里落地？我们和火山引擎聊了聊 转 ...