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 ...

Core Insights - The article discusses the transition of large models into the second half of their development, emphasizing the importance of redefining problems and designing real-use case evaluations [1] - It highlights the need for effective measurement of ROI for Agent products, particularly for startups and companies looking to leverage AI [1] - SuperCLUE has launched a new evaluation benchmark, AgentCLUE-General, which deeply analyzes the capabilities of mainstream Agent products [1] Group 1 - The blog post by OpenAI's Agent Researcher, Yao Shunyu, has sparked discussions on the shift from "model algorithms" to "practical utility" [1] - There is a focus on how existing evaluation systems can effectively measure the ROI of Agent products [1] - SuperCLUE maintains close connections with various model and Agent teams, showcasing its expertise in model evaluation [1] Group 2 - An invitation is extended to join an online sharing session featuring SuperCLUE's co-founder, Zhu Lei, discussing core challenges in evaluating large models and Agents [2] - The session is scheduled for May 15, from 20:00 to 22:00, with limited spots available for registration [3] - Additional reading materials are suggested, covering topics such as pricing AI products, insights from the Sequoia AI Summit, and the importance of product design in AI applications [4]

Core Insights - The article discusses nine emerging trends for developers driven by AI Agents, indicating a shift from traditional coding practices to a new paradigm where AI plays a central role in software development [1][2][34]. Group 1: AI-Driven Development - AI Agents are reshaping version control, focusing on the output of code rather than the specific lines of code written, leading to a concept called "truth elevation" where prompts and tests become the new truth [2][3][6]. - The traditional static dashboards are evolving into dynamic, AI-driven interfaces that adapt based on user tasks and behaviors, enhancing user experience and efficiency [8][9][10]. - Documentation is transitioning into interactive knowledge systems that support both human readers and AI Agents, requiring a dual approach to meet the needs of both [11][12][34]. Group 2: New Development Paradigms - The shift from static templates to "vibe coding" allows developers to describe their desired outcomes and receive customized project scaffolding almost instantly, reflecting a move towards personalized development [15][16][34]. - The management of secrets is evolving from traditional .env files to capability-oriented security systems, emphasizing precise permissions and auditability for AI Agents [18][20][34]. - The emergence of accessibility APIs as a universal interface for AI Agents indicates a significant shift in how applications are designed, catering to both human users and AI [21][22][34]. Group 3: Collaboration and Standards - The rise of asynchronous workflows signifies a fundamental change in collaboration, where developers delegate tasks to AI Agents that operate in the background, enhancing productivity [25][26][34]. - The Model Context Protocol (MCP) is gaining traction as a standard for AI Agent capabilities, similar to how HTTP standardized web communication, facilitating interoperability among tools [28][29][34]. - The concept of declarative infrastructure is emerging, allowing AI Agents to specify needs without detailing implementation, streamlining the development process [31][33][34]. Group 4: Future of Software Development - The trends indicate a broader transformation in software development roles, with developers becoming more like conductors coordinating multiple AI Agents rather than solo performers [34][35]. - The article emphasizes the importance of adapting to these changes while maintaining core values of problem-solving and user service, highlighting the potential for new opportunities in the evolving landscape of software development [35][36].

Group 1 - The core message of the article emphasizes that the AI era is just beginning, with a focus on selling outcomes rather than tools, marking a shift towards a trillion-dollar opportunity in the AI sector [2][3][88] - The article highlights a fundamental change in the revenue model from selling tools to selling results, indicating that companies will now be evaluated based on their ability to deliver measurable outcomes [10][54][90] - The concept of "operating system-level AI" is introduced, suggesting that the future of AI will involve systems that actively manage tasks rather than merely responding to commands, thus reshaping the interaction between users and AI [23][25][29] Group 2 - The article discusses the emergence of an "agentic economy," where AI systems are not just tools but autonomous agents capable of decision-making and collaboration, fundamentally altering the economic landscape [31][38][88] - It outlines the transition from traditional software models to a new paradigm where AI applications are evaluated based on their ability to complete tasks and deliver results, rather than just their features [46][54][90] - The article stresses the importance of organizational structure in leveraging AI effectively, indicating that success will depend on how well companies can integrate AI into their workflows and decision-making processes [68][72][87] Group 3 - The article notes that the AI market is shifting from a focus on model capabilities to a focus on the ability to deliver results, with companies needing to adapt their strategies accordingly [17][54][90] - It emphasizes that the future of AI applications will rely on a collaborative network of intelligent agents rather than isolated tools, requiring a rethinking of organizational roles and responsibilities [38][72][86] - The article concludes that AI is evolving from a technical product to a new economic model, where the emphasis is on continuous delivery and self-driven collaboration rather than merely performing tasks [88][90][91]

简历请发送到 hr@geekpark.net 我们希望你： 岗位三：项目策划经理 我们希望你： 岗位二：社区运营（BD 方向） 工作内容： 深入理解社区内创业者的真实问题与行业趋势，围绕 AI 领域的技术、产品、资金、人才等变 化，策划并产出结构化内容，包括但不限于专访、深度稿件、研究报告等。 围绕 Founder Park 设定的重点议题，提出内容选题建议，主导议题落地路径，包括文章撰写、研 讨会设计、线上问答、线下小型聚会等，推动社区内的认知流动和价值交换。 持续关注 AI 创业生态的动态，包括模型能力迭代、产品落地路径、融资热度变化、头部人才流 动等，定期输出行业观察与内部 briefing，辅助内容方向与社群策略的迭代。 与媒体、投资、商业化等团队紧密协作，推动内容在不同触点的落地与传播；同时支持商业化项 目中的内容需求（如客户案例、创新服务包装等），实现内容在认知与转化两个维度的价值闭 环。 本科及以上学历，5 年以上内容相关工作经验，有科技、创投或 AI 方向背景优先； 熟悉 AI 行业发展趋势，具备技术产品和创业生态的基本判断力； 具备优秀的内容策划与编辑能力，能独立完成深度稿件； 逻辑清晰，善 ...

在AI时代，很多人都有一个问题，AI原生应用到底长什么样？ 不久前，YC合伙人Pete Koomen提出了一个很有意思的看法： 当下很多AI产品的困境并不在于模型能力不行，而是产品设计能力不行。 原因在于，这些产品仍然基于过去的产品逻辑来设计，而没有充分考虑到用户的实际需求。 比如，传统的产品开发往往需要程序员预先设计好系统提示符，但这些早被设计好的提示词在实际应用中，却很难真正满足用户个性化的需求，甚 至成为了大模型潜力释放的最大阻碍。 以下文章来源于乌鸦智能说 ，作者智能乌鸦 乌鸦智能说 . 人人都能读懂的AI商业 这就像19世纪80年代的蒸汽马车，人们只想着用发动机取代马匹作为动力驱动，却没有考虑重新设计车辆以应对更高的速度。 在这篇文章里，Pete Koomen就用了自己的亲身经历，分享了他对AI原生应用的理解。 Founder Park 正在搭建开发者社群，邀请积极尝试、测试新模型、新技术的开发者、创业者们加入，请扫码详细填写你的产品/项目信息，通过审核 后工作人员会拉你入群～ 进群之后，你有机会得到： 01 从 Gmail 的 AI 功能说起 比起大多数AI应用，我更喜欢自己用AI开发软件。 当我 ...

Core Insights - The article discusses the transition of large models into the second half of reinforcement learning (RL), emphasizing the importance of redefining problems and designing real-use case evaluations [1] - It highlights the need for effective measurement of the ROI of agent products, particularly for startups and enterprises looking to leverage AI [1] - Superclue has launched a new evaluation benchmark, AgentCLUE-General, which deeply analyzes the capabilities of mainstream agent products [1] Group 1 - The blog post by OpenAI's Agent Researcher, Yao Shunyu, has sparked discussions on the shift from model algorithms to practical utility [1] - The evaluation framework for agent products is crucial for guiding product development and implementation in enterprises [1] - Superclue maintains close connections with various model and agent teams, showcasing its expertise in model evaluation [1] Group 2 - An online sharing session is scheduled for May 15, from 20:00 to 22:00, with limited slots available for registration [2] - The article suggests that understanding how agents can be implemented in enterprises is a key area of interest [3] - It raises questions about the differences in capabilities among various general agent products, such as Manus, Fellou, and Genspark [3]

以下文章来源于硅星GenAI ，作者大模型机动组 硅星GenAI . 比一部分人更先进入GenAI。 红杉资本最近举办了他们的年度大会——AI Ascent 2025，三位核心合伙人 Pat Grady、Sonya Huang 和 Konstantine Buhler 分享了红杉对于当下 AI 创业市 场的洞察和预测，很适合作为 2025 年 AI 创业的 Playbook。 一句话总结，应用层才是创业的价值高地，迎接智能体经济的到来。 以及对于当下 AI 创业的忠告：收入规模不重要，收入质量更重要——即用户粘性、留存率和真实的业务增长，而非短期的"尝鲜"效应。 文章转载自「硅星 GenAI」，并进行了一些再编辑。 TLDR 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： 真正的价值会沉淀在应用层，尤其是能解决具体行业痛点、深度服务客户的AI应用。随着基础模型越来越多地在这一层展开竞争，应用层的竞争也 日益激烈。 AI 创业，为客户提供端到端的解决方案，直接解决问题，而不是只扔给他们一个工具。你还可以利用自己产品的使用数据构建数据飞 ...