Group 1 - OpenClaw's founder Peter Steinberger shared his experience of sudden fame, including challenges such as name change demands from Anthropic and harassment from the crypto community [1][2] - The project is currently in a loss-making state, relying on donations and limited corporate support, raising concerns about its sustainability [1] - Peter received acquisition and collaboration offers from major companies like OpenAI and Meta, but he insists on maintaining the project's open-source nature [1] Group 2 - Peter expressed views on the AI industry, stating that many AI safety concerns are exaggerated and that AI will not replace core creative roles of programmers [2] - He highlighted the importance of efficient collaboration in AI development, warning against the pitfalls of overly complex agent orchestration [2] Group 3 - The renaming process of the project was fraught with difficulties, including domain name acquisition and the need for a rapid response to legal pressures [4][6] - Peter faced significant stress during the renaming, nearly abandoning the project due to the overwhelming challenges [13][14] - The final name, OpenClaw, was chosen after a meticulous and secretive planning process to avoid further issues [16][17] Group 4 - Peter discussed the MoltBot incident, describing it as an artistic expression rather than a genuine security threat, emphasizing the need for better public understanding of AI [20][21] - He noted that the safety concerns surrounding MoltBot were largely unfounded and stemmed from misunderstandings about AI capabilities [22] Group 5 - Peter is actively addressing security concerns within the project, collaborating with VirusTotal to scan skills before deployment [23] - He acknowledged that while software will always have bugs, the project has benefited from community feedback and contributions to improve security [24] Group 6 - The conversation highlighted the evolving nature of AI models, with Peter noting that as models become smarter, their attack surfaces may shrink, but the potential damage from failures could increase [26][27] - He emphasized the importance of using robust models to mitigate risks associated with prompt injection and other vulnerabilities [26] Group 7 - Peter discussed the need for a cognitive shift in how developers interact with AI agents, advocating for a design approach that aligns with the agents' logic and capabilities [29][32] - He stressed the importance of understanding how agents perceive tasks and the necessity of guiding them effectively to achieve desired outcomes [33][35] Group 8 - The future of AI development is seen as a blend of personal assistants and collaborative coding partners, with an emphasis on creating a seamless interaction experience [54][55] - Peter believes that the current interfaces for interacting with AI are still in their infancy and will evolve significantly over time [57]

太魔幻！ 什么OpenClaw？什么开源贾维斯？都太克制了好吧…… 你想不到的是，现在，有一大批AI Agent，已经不再满足于围着一个人转，而是开始组团入侵人类社交圈了！ 你还可以直接把擅长不同领域的AI Agent拽进亲朋好友群，让它听全员调度，当群里有人提需求，它当场响应。 还能打造专属Agent分身，压根不用折腾本地部署，它能直接介入你的Gmail等账号，替你收发邮件、处理资讯、上手干活儿！ 甚至你还可以直接让AI Agent帮你找人，一句话描述需求，分分钟就能帮你锁定、匹配、连线！ 这，就是刚刚上线的全球首个AI社交通用平台「Teamily AI」，一个真正的AI-native即时消息应用。 碳基和硅基，第一次在同一个社交网络里，共存、对话、协作、创造。 科幻片里那种人机无缝共生的社交网络，真的变成现实了…… 当AI Agent，混入你的社交圈 说实话，这两年大家都有同感——AI的进化速度有点超出预期。 从ChatGPT再到如今火出圈的OpenClaw，写代码、做应用、生成方案，很多原本需要多人配合的工作，被压缩成了一个人+一个模型。 你打开窗口，你提需求，AI响应，AI是你的助手、你的外挂、你的执 ...

OpenClaw 带来 AI Agent 全新突破，引起市场高度关注 OpenClaw 是一款由程序员 Peter Steinberger 开发的开源 AI Agent 应用，2026 年 1 月 25 日在 GitHub 上发布后短时 间内便获得 AI 社区高度关注，后续快速出圈获得市场广泛关注。其获得关注的核心原因在于：自动实现高自由度的 智能化应用，完全文本对话形式就可以实现其他 Agent 产品需要通过代码、或是用工作流工具才能完成的复杂功能， 兼顾易用性与专业性；部署相对简单快速，且对本地设备要求不高，可在个人 Linux、macOS 或 Windows 系统中安装； 支持集成到飞书、钉钉等手机应用中，具有极高的使用便捷性。以上特性大幅降低了使用门槛，让一般使用者也能拥 有高度定制化的个人 Agent，也因此使其得到更广泛的普及。 本文首先展示 OpenClaw 的部署与初步使用方法，并着重介绍其最具有特色的几个功能模块。随后，我们结合具体案 例介绍 OpenClaw 的应用效果，展现其在日常生活或工作中能带来的实际效率提升。 如何快速上手 OpenClaw? OpenClaw 最适合部署的环境是 ...

什么OpenClaw？什么开源贾维斯？都太克制了好吧…… 你想不到的是，现在，有一大批AI Agent，已经不再满足于围着一个人转，而是开始组团入侵 人类社交圈 了！ 你还可以直接把擅长不同领域的 AI Agent拽进亲朋好友群，让它听全员调度，当群里有人提需求，它当场响应： 梦瑶 发自 凹非寺 量子位 | 公众号 QbitAI 太魔幻！ 还能打造专属Agent分身，压根不用折腾本地部署，它能直接介入你的Gmail等账号，替你收发邮件、处理资讯、上手干活儿！ 甚至你还可以直接让AI Agent帮你找人，一句话描述需求，分分钟就能帮你锁定、匹配、连线！ 这，就是刚刚上线的全球首个AI社交通用平台 「Teamily AI」 ，一个真正的AI-native即时消息应用。 碳基和硅基，第一次在同一个社交网络里，共存、对话、协作、创造。 科幻片里那种人机无缝共生的社交网络，真的变成现实了…… 当AI Agent，混入你的社交圈 它能够直接存在于你的社交关系链中，参与群体互动、回应需求，不挑内容形态，图片能看，视频能讲，长文能拆。 我们以为的那个帮人干活的AI，开始进入群聊，进入社会关系，参与多人之间的互动与推进。 是的 ...

Core Insights - The article discusses the challenges faced by Peter Steinberger, founder of OpenClaw, after the project's sudden rise to fame, including name changes and harassment from the crypto community [1][2] - OpenClaw is currently operating at a loss, relying on donations and limited corporate support, and is considering acquisition offers from major companies like OpenAI and Meta, with a focus on maintaining open-source status [1][2] Name Change Challenges - The project initially named Wa-Relay faced pressure from Anthropic to change its name, leading to a stressful and chaotic renaming process [4][6] - The renaming involved securing various domain names and social media handles, which proved to be a complex and time-consuming task [6][10] - The crypto community's aggressive behavior added to the pressure, resulting in account hijacking and the spread of malicious software [7][8] Technical Insights - Steinberger expressed concerns about the AI industry's exaggerated safety fears, suggesting that incidents like MoltBot are more about entertainment than real privacy threats [2][17] - He highlighted the importance of efficient collaboration in AI development, warning against overly complex agent orchestration [2][21] Security Concerns - The article addresses the security challenges faced by AI systems, emphasizing that many reported vulnerabilities stem from user misconfigurations rather than inherent system flaws [22][23] - Collaboration with VirusTotal aims to enhance security by scanning skills before deployment, although no solution can guarantee complete safety [22][23] Development Philosophy - Steinberger advocates for a shift in mindset when working with AI agents, suggesting that developers should design projects to be easily understood by agents rather than solely based on personal preferences [32][35] - The article emphasizes the importance of iterative development, where learning and adaptation occur through hands-on experience with AI tools [36][37] Future Directions - The future of AI interaction is expected to evolve towards more integrated systems that combine personal assistance with development capabilities, moving beyond current chat-based interfaces [54][56] - The article suggests that the current state of AI development is still in its early stages, with significant potential for improvement in user interaction and system integration [56][57]

Core Insights - OpenClaw is an innovative AI agent that operates on personal computers, allowing users to interact with it through messaging platforms like WhatsApp and Telegram, providing system-level permissions for tasks such as file management and email communication [7][8] - The project has gained significant traction, with over 170,000 stars on GitHub within weeks, indicating a strong community interest and support [5][7] - OpenClaw's ability to maintain persistent memory allows it to remember user preferences and past interactions, making it a more effective assistant [7][8] Group 1: Use Cases - An example of OpenClaw's capabilities includes negotiating a car purchase, where it saved a user $4,200 by autonomously contacting dealers and negotiating prices through email [10][12] - Another case involved the AI recognizing a user's personal context, such as not sending reminders on a spouse's birthday, showcasing its understanding of social relationships [14][15] - Users have reported using OpenClaw for various tasks, including managing emails and scheduling, likening the experience to training a new employee rather than using a traditional app [15][18] Group 2: Community and Market Response - Major tech companies in South Korea have restricted the use of OpenClaw among employees, reflecting concerns about its implications in the workplace [8] - The rapid emergence of new use cases has sparked both excitement and unease within the community, highlighting the dual nature of AI's capabilities [8][12] - Following OpenClaw's popularity, a platform called RentAHuman.ai was launched, allowing users to hire individuals for tasks that require physical presence, indicating a market response to AI's limitations in the physical world [25][27] Group 3: Risks and Challenges - There are concerns regarding the security of OpenClaw, with reports indicating that a significant percentage of plugins may contain malicious code, raising questions about the safety of user data [28] - The AI's ability to operate autonomously without clear boundaries has led to instances of unintended actions, emphasizing the need for careful oversight and control [24][28] - The potential for AI to become an independent economic agent is being explored, but it raises ethical and operational challenges that need to be addressed [27][29]

2026年2月初，这样的指令在千问App内被高频执行。这场由千问发起的30亿红包补贴活动，上线仅9小时便创下超1000万笔AI点单订单。 外界惊叹于大模型在消费场景的"爆款能力"，但行业真正关注到并为之惊叹的，是这笔庞大交易链中最隐蔽却最关键的一环——AI付。 当大家还在争论AI Agent何时能"办事"时，支付宝已经迈出了关键一步：支付不再是跳出页面的额外操作，而是直接长在 AI 应用里的原生能力。 超过1亿次 "千问帮我下单"，证明一套能理解意图、核验身份的AI支付服务，已经从实验室走向了普通人的真实生活。 "奶茶免单"活动后，"双赢"局面浮出水面： 2月11日，苹果App Store中国区免费应用排行榜显示，千问下载量猛增，占据榜单第一。 2月12日，支付宝"AI 付"一周累计支付已超1.2亿笔，成为全球首个支付笔数破亿的AI原生支付产品。 图为苹果Apple Store热门下载榜单（2月12日） 支付宝 AI付 99 周支付超 全球首个笔数过亿的 AI原生支付 "千问，帮我点一杯奶茶。" 如果说移动支付是对现金支付的数字化迁移，那么AI付正在对"交易"本身进行解构与重组。 笔者梳理发现，支付宝AI付至 ...

Core Insights - The article highlights the significant impact of AI payment services, particularly Alipay's "AI Pay," which has achieved over 1.2 billion transactions in just one week, marking it as the world's first AI-native payment product to surpass this milestone [3][4][5]. Group 1: AI Payment Breakthrough - The "Qianwen" app initiated a massive 30 billion yuan subsidy campaign, resulting in over 10 million AI order placements within just 9 hours, showcasing the explosive capability of AI in consumer scenarios [1]. - Alipay's "AI Pay" has integrated payment directly into AI applications, eliminating the need for users to navigate away from the app for transactions, thus enhancing user experience [1][4]. Group 2: New Interaction and Trust Mechanisms - The shift from "users seeking services" to "services embedded in conversations" represents a fundamental change in interaction logic, allowing users to access various services through natural language within a single app [4][5]. - Alipay has established a trust network for its AI payment service, utilizing a multi-dimensional risk control system and user identity verification methods to ensure secure transactions [5]. Group 3: Industry Evolution and Future Prospects - The introduction of the ACT (Agentic Commerce Trust) protocol by Alipay signifies a new standard for AI-driven transactions, addressing the need for a structured approach to AI executing user intentions [6]. - The ACT protocol aims to create a traceable and verifiable operation log for AI-executed transactions, positioning Alipay as a leader in the evolving landscape of AI payment infrastructure [6][7].

经济观察网铜牛信息（300895）近期股价表现强势，近20个交易日累计上涨21.33%。这一表现主要与 以下几个因素相关： 股票近期走势 近期A股市场算力租赁、数据中心等相关概念板块关注度提升。AI Agent的爆发式落地拉动了CDN及数 据传输需求，云计算厂商可能开启涨价周期，IDC及云计算服务商受到市场关注。铜牛信息作为互联网 数据中心和云服务提供商，其业务涉及算力租赁等概念，因此受到板块情绪带动。 近期事件 公司控股股东拟由北京时尚控股有限责任公司变更为北京数据集团，这一国资重组事项旨在推动公司聚 焦数字经济主业。市场预期重组后可能带来资源协同，从而对股价形成支撑。此外，公司正在推进"方 恒科技超算与金融云计算基地"项目，主体已完工，外电源引入中，市场对其算力规模提升有所期待。 资金面与技术面 从技术分析角度看，铜牛信息近期股价突破了20日均线压力位，MACD指标显示差离值由负转正，短期 动能较强。2月13日当天股价振幅达16.41%，换手率为5.53%，显示交易活跃度较高。 目前经营状况 根据公司发布的业绩预告，2025年归母净利润预计亏损6500万元至8500万元，较2024年同期亏损1.27亿 元 ...

上周五，阿里的大模型千问狂撒30亿，请全民喝奶茶，只需要一句话"千问，帮我点杯奶 茶"，就能联动千问、淘宝、支付宝、盒马等多个 App，把原本需要多步操作的流程压缩成 一次指令。多家奶茶店接单到手软，被迫临时"歇业"、外卖骑手爆单、千问登顶 App Store 榜一。可以说，让无数大众近距离地真实体验了AI时代的全新生活方式。 而在前不久，另一个现象在开发者社区发生：原本上市一年多、销量平稳的 Mac mini，在短短十 多天里出现显著增量，甚至出现断货与补货讨论。其背后的推手则是一个诞生不到两个月的开源 AI 助手——OpenClaw。它在社区引发了一波"用 Mac mini 部署 AI 助手"的晒图与教程潮，进而 把一台小主机推成了"AI Agent 试验田"。 两件事表面上风马牛不相及，本质却指向同一个趋势： AI Agent（智能体）负载正在崛起。 大模 型时代沉淀的能力，正在通过"智能体化"加速落地——这也意味着，芯片产业的评价体系可能要变 了。 "一只龙虾"，引爆Ma c mini 两个月前，一位已经退休的奥地利软件工程师开发者Peter Steinberger利用周末随手"攒"出了一个 项目。起 ...