Core Viewpoint - The Model Context Protocol (MCP) is gaining traction as a standardized API for Large Language Models (LLMs) to interact with the world, similar to how USB-C standardizes connections for devices [2][5]. Group 1: MCP Overview - MCP serves as a standardized way for applications to provide context to LLMs, facilitating interaction with various data sources and tools [1]. - Major players like IBM and Google are developing their own versions of MCP, such as the Agent Communication Protocol (ACP) and Agent2Agent (A2A) [2]. Group 2: Implementation Challenges - There is a lack of mature engineering practices in MCP, with poor documentation and low-quality SDKs being common issues among major participants [3]. - The author criticizes the current HTTP transport setup, suggesting it should be replaced with WebSockets to improve efficiency and reduce complexity [3][29]. Group 3: Transport Protocols - MCP utilizes multiple transport protocols, including stdio and HTTP, with the latter being criticized for its complexity and potential security issues [8][10]. - The HTTP+SSE and "Streamable HTTP" modes introduce significant complexity, leading to potential security vulnerabilities and interoperability issues [21][24]. Group 4: Security and Complexity Issues - The flexibility of Streamable HTTP raises security concerns, including session management vulnerabilities and an expanded attack surface [24][26]. - The multiple ways to initiate sessions and respond to requests increase cognitive load for developers, complicating code maintenance and debugging [26]. Group 5: Recommendations for Improvement - The industry should focus on optimizing HTTP transport to align more closely with stdio, minimizing unnecessary complexity [28]. - WebSockets are proposed as a more efficient alternative for transport, allowing for better session management and reducing the need for complex state handling [29]. Group 6: Alternative Protocols - Other emerging protocols like ACP and A2A are seen as potentially unnecessary, as many of their functionalities can be achieved through MCP with minor adjustments [31][32].

作者 | 褚杏娟 对于业内讨论的一些问题，实在智能通过自身实践也给出了自己的答案。比如自研模型或垂直模型对于具体业务场景中的 Agent 研发是必要的，但大模 型自身并不能作为一种产品。又如，在支持 MCP 后，实在智能也发现不能过度依赖 MCP 服务，MCP 只是将一些问题进行了封装，但问题本质并没有 得到解决。 当下，智能体的热度已经无需再多赘述。这场智能体竞赛中，除了那些从新开始的"AI 原生"智能体应用外，还有一些应用在逐渐将智能体纳入产品构建 中，实在智能便是其中之一。 实在智能成立于 2018 年7月，以RPA为起点，融合AI技术，致力于通过人工智能技术助力人机协同，提供超自动化解决方案。随着技术发展，实在智能 对其"数字员工"产品不断升级：对RPA的底层能力做了大量的改造和增强，结合计算机视觉对底层架构进行了重构，并推出了国内首款通用智能体产 品。当前，实在智能已为超 4000 家企业客户部署了"数字员工"。 近日，InfoQ 对实在智能创始人兼 CEO 孙林君进行了一次采访，期间他详细回答了智能体技术路径选择、产品如何转型、智能体产品收费逻辑等问题。 智能体的实现路径 InfoQ：2018 年 ...

整理 | 华卫 刚刚，OpenAI 正式对外推出了 AI 编码神器 Codex，其目前向 ChatGPT Plus 用户开放。据 悉，Codex 在限定时段内提供宽松的使用额度，但在需求高峰期间，可能会对 Plus 用户设置速 率限制，以确保其能广泛可用。 并且，现在 Codex 可以在任务执行过程中访问互联网了，用户可用其安装基础依赖项、运行需 要外部资源的测试、升级或安装构建新功能所需的软件包等。互联网访问功能将向 ChatGPT Plus、Pro 和 Team 用户开放，之后也将支持企业版用户。不过，该功能日常默认处于关闭状 态，在创建新环境或编辑现有环境时可随时启用。 "我们不再处于集成开发环境（IDE）时代了。我们进入了自主开发时代。"有网友激动地表 示，"这是一个能自行搜索、安装、编码、测试、修复错误并发布的 AI。"此前 OpenAI 的 CEO Sam Altman 曾坚称，到今年年底，AI 模型将能够超越初级软件工程师。 值得一提的是，在发布推出 Codex 前，OpenAI 首先宣布了用 Rust 重写 AI 命令行编码工具 Codex CLI 的消息，称此举可提升性能和安全性并避免对 N ...

今年年初，领英联合创始人、OpenAI 早期投资人里德·霍夫曼（Reid Hoffman）的新书 SuperAgency 轰动硅谷，获得比尔·盖茨、李飞飞等大咖的集体关注。在这本书中，霍夫曼呼吁将 AI 视为"放大人类 的行动力"的工具，并通过负责任地整合 AI，推动人类迈入更繁荣的未来。 近日，湛庐文化推出本书中文版《AI 赋能》。下文为本书的精彩导读，浓缩了本书的精华内容与核心 观点，作者为北大汇丰商学院未来实验室首席未来学家檀林。 随着 DeepSeek 的横空出世，以 OpenAI 开创的这一轮生成式 AI 技术更是以破纪录的速度开始渗透 进全球亿万人的日常生活，而当 2024 年的诺贝尔物理学奖授予在 AI 领域做出贡献的科学家，AI 开 始重塑艺术创作、医疗诊断、科学研究乃至基础教育的底层逻辑，人类正经历一场比互联网革命更深 刻的认知震荡。 领英联合创始人、OpenAI 早期投资人里德·霍夫曼（Reid Hoffman）提出了以硅谷实践派的冷静洞 察与人文主义者的终极追问，为这场"呼啸而来"的未来提供了一份独特的导航图——它既不沉迷于技 术乌托邦的狂热，也不陷入末日论的焦虑，而是聚焦于一个核心命题 ...

Core Viewpoint - The article discusses the evolution of embodied intelligence technology and the advancements made by various humanoid robot companies, highlighting the significance of robot competitions in showcasing capabilities and driving industry growth [1][3][21]. Group 1: Recent Developments in Humanoid Robotics - Various leaders from prominent humanoid robot companies shared their recent achievements, including performances at events like the Spring Festival Gala and robot combat competitions [3][5]. - Wang Xingxing from Yushu Technology emphasized the importance of showcasing robots through performances and competitions to generate commercial value while working towards the ultimate goal of robots performing tasks in homes and factories [3][8]. - The Tian Gong 2.0 robot from the Beijing Humanoid Robot Innovation Center has been upgraded to enhance its dexterity and load-bearing capabilities, demonstrating advancements in hardware and software [12][13]. Group 2: The Role of Robot Competitions - Robot competitions are seen as valuable platforms for public engagement and knowledge dissemination about current robotic technologies, with events planned to include various athletic and service scenarios [21][22]. - These competitions serve as training grounds for improving robotic technologies and provide opportunities for communication between potential clients and robot manufacturers, potentially accelerating the commercialization of robotics [23][25]. - The upcoming World Humanoid Robot Games in Beijing is expected to further popularize robotics and enhance public understanding of the technology [22][23]. Group 3: Perspectives on Humanoid Robot Design - There is a debate on whether humanoid robots are the best embodiment of intelligence, with some experts suggesting that diversity in robot design could be more beneficial for achieving general intelligence [29][30]. - Wang Xingxing and Xiong Youjun both acknowledged the advantages of humanoid robots in terms of data collection and interaction in human-designed environments, suggesting that humanoid forms may be more readily accepted in domestic settings [30][31][32]. Group 4: VLA Technology and Its Challenges - VLA (Vision-Language-Action) technology is highlighted as a key area of research, with discussions on its potential to enhance the capabilities of robots through better data integration and algorithm improvements [34][35]. - The current limitations of VLA include the need for more advanced algorithms to handle the vast amounts of data generated, which is crucial for achieving higher performance in diverse environments [38].

Core Insights - Manus AI has launched a text-to-video generation service that transforms text prompts into fully structured, storyboarded video narratives, currently available for select subscription users and soon to be open to all [1] - This service directly competes with leading products in the industry, such as OpenAI's ChatGPT Pro Sora, which costs $200 per month, and other subscription-based or pay-per-use models from Runway, Synthesia, and Google [1] - The text-to-video sector is rapidly evolving, with Chinese tech giants Alibaba and Tencent pushing open-source solutions to challenge Western proprietary models [1] Group 1 - Manus AI gained significant recognition after launching its AI Agent tool earlier this year, which has led to investment from Benchmark Capital amid rising US-China AI competition [1] - The company has recently partnered with Microsoft Azure AI Foundry, enhancing its capabilities in the AI space [1] - Unlike traditional AI chatbots like ChatGPT, Manus can autonomously plan, execute, and complete complex multi-step tasks without continuous human intervention [2] Group 2 - Manus operates on a cloud-based asynchronous mechanism, allowing users to delegate tasks for offline processing, which can continue even during internet outages [2] - The system utilizes a multi-agent architecture, enabling specialized sub-agents to manage task planning, execution, and knowledge retrieval, thus supporting the breakdown and management of complex workflows [2]

作为"普通工程师"的我们，在大模型、AI 加速渗透研发流程的时代，我们的角色变了吗？我们的 价值还怎么被看到？本期直播和来自百度、网易游戏、同程旅行的三位嘉宾一起探讨。点击预 约，不见不散！ 直播介绍 直播时间 6 月 5 日 20:00～21:30 直播主题 AI 全面渗透研发流程，如何看待工程师的价值 杨方伟 同程旅行 / 工程效能架构师 嘉宾 ： 直播亮点 林香鑫 网易游戏 / 高级技术经理 颜志杰 百度 / 资深研发工程师 节奏越来越快，研发效能要如何才算"高效" 哪些曾经吃香的能力，现在可能正在"贬值" 在节奏加快、压力上升的时代，如何让自己的价值被真正看见 如何看直播？ 扫描下图海报 【二维码】 ，或戳直播预约按钮，预约 InfoQ 视频号直播。 如何向讲师提问？ 文末留言写下问题，讲师会在直播中为你解答。 直播嘉宾 主持兼嘉宾 ： ...

Core Insights - Duolingo has been a leading educational app on the Apple App Store for the past decade, boasting over 113 million monthly active users and a market capitalization of approximately $17 billion following its successful NASDAQ listing [1] - The company reported impressive quarterly results in May 2023, with paid users reaching 10 million and revenue increasing by 38% compared to the same period in 2024 [1] - Following the announcement, Duolingo's stock price surged by 31% in May, 85% over the past 10 weeks, and 167% year-over-year [1] Group 1 - CEO Luis von Ahn discussed the profound impact of AI on content creation, emphasizing that Duolingo possesses a large user base and unique learning data, which are crucial for maintaining competitiveness in a rapidly changing environment [2] - The company views AI as a powerful tool for enhancing efficiency and fulfilling its mission of educating the masses, stating that without AI, it would take decades to produce the necessary educational content [3][9] - Duolingo's shift towards an "AI-first" strategy has sparked significant backlash from users, with many expressing anger and disappointment over the perceived prioritization of AI over human employees [4][16] Group 2 - Von Ahn outlined the company's future direction, indicating a gradual cessation of outsourcing tasks that can be automated with AI, and that new hires will only be approved for roles that cannot be automated [9][10] - The use of AI will become a key factor in hiring decisions and performance evaluations, fundamentally altering the way employees work [10] - Critics argue that Duolingo's focus on AI-generated content may compromise the quality of its educational offerings, particularly in less-resourced languages where AI struggles to produce accurate content [11][12] Group 3 - The company previously relied heavily on human creators, particularly volunteers, to develop high-quality language courses, but has since shifted to an internal model that has diminished the collaborative ecosystem [11][12] - The transition to AI-generated content has led to concerns about the accuracy and quality of language instruction, with users noting that AI-generated materials often lack authenticity and can mislead learners [12] - Despite the company's significant valuation and resources, the decision to prioritize AI content generation over maintaining high-quality volunteer-driven courses has been criticized as a capital-first strategy that undermines educational effectiveness [12] Group 4 - Following the backlash, Duolingo's social media strategy included humorous videos attempting to address the crisis, but these efforts have been met with skepticism and continued user dissatisfaction [18][20] - Von Ahn's attempts to reassure employees and users about the company's commitment to human staff and quality education have been complicated by the ongoing public relations challenges stemming from the AI-first approach [22][24] - The competitive landscape of online language learning is intensifying, with low customer switching costs and emerging competitors, prompting Duolingo to emphasize the need to embrace new technologies to maintain its market position [25]

Core Viewpoint - Windsurf faces significant challenges due to Anthropic's abrupt decision to cut off access to its Claude 3.x models, which has raised concerns about the impact on Windsurf's user base and overall service quality [1][2][4]. Group 1: Company Response - Windsurf has quickly transitioned to other inference service providers to mitigate the impact of the loss of Claude 3.x models, ensuring that paid users should not experience significant disruptions [2]. - To assist users during this transition, Windsurf is offering a promotional price of 0.75 times the original price for the alternative model Gemini 2.5 Pro [3]. - Windsurf has removed direct access to Claude 3.x models for free plan users while reopening access through a BYOK (Bring Your Own Key) method [3][4]. Group 2: User Impact - The removal of Claude 3.x models has raised concerns among developers about a potential decline in Windsurf's programming capabilities, as these models are known for their strong programming abilities [5]. - Some users have chosen to unsubscribe from Windsurf due to the lack of access to Claude models, indicating dissatisfaction with the service [7]. Group 3: Competitive Landscape - Windsurf's limited access to Anthropic models may hinder its growth, especially as Anthropic expands its own AI coding applications [8]. - The competitive dynamics between Windsurf and Anthropic are highlighted by the fact that Windsurf has been unable to access the latest Claude models, forcing it to rely on more expensive alternatives [6][10]. Group 4: Company Background - Windsurf, founded in 2021, has rapidly gained traction in the developer community, achieving an annual recurring revenue (ARR) of $100 million by April [8]. - Following rumors of a potential acquisition by OpenAI, Windsurf has launched a new model family, SWE-1, aimed at software engineers, indicating a strategic shift to compete directly with Anthropic [11].