整理 | 褚杏娟 近日，Dario 和 Anthropic 另一位联合创始人 Jack Clark 在参加活动时透露了公司目前的情况：在 Anthropic 内部，工程师们已经不写代码了，而是通过管理大量的 AI Agent 系统来写代码，并且在这 种模式下，每个人完成的工作量是以前的 2-3 倍。 他们否认了员工为此而失业，原因是公司还在飞速发展。Dario 还提议政府向 AI 公司多征税，表示 这并不会影响 Anthropic 的发展。 就在 Anthropic 高管们为公司全 AI 代码而开心的时候，开发者们却对这种情况充满质疑。 有人犀利发问：AI 写代码这么厉害，为什么 Claude 桌面客户端经常 UI 卡？还有人嘲讽道：所以这 就是 Claude 所谓"bug"被社区反映了一个多月才被发现的原因？ "怀疑他们有没有写过代码、用没用 AI 干过一件生产类的工作。一个人用几个 Agent 写代码很扯， 严重破坏心流，而且 AI 无法窥探产品全局和核心价值点，一般设计的架构和代码可能会完全偏离产 品方向。不是说 AI 不好，而是还没有到能革命的地步，最起码没有想的那么美。"还有开发者说道。 有过 AI ...

复旦商业知识 . 洞悉商业世界，发掘企业管理前沿研究成果，分享企业家最佳实践。 以下文章来源于复旦商业知识 ，作者谭相宜 AI，这场看似尚未全面落地的技术变革，已经在企业中层里掀起不小的冲击波。尤其在AI深入业务流程后，企 业组织架构和分工正发生微妙而深刻的变化，其中首先感受到冲击的，就是连接战略与执行的中层管理者群 体。 许多组织正在"悄悄地改写"中层管理者们的职责——由过去的引导者转变为"翻译者"和"协调者"。AI下的中层更 像教练和导师，要负责辅导员工学习新技能、推动技术采纳，而非仅仅监督考核。 总之，在这个组织转型的十字路口，中层管理者们正面临着一场关乎职业命运的机遇。为更直观呈现AI时代中 层管理者的真实工作状态——他们如何运用AI工具提升效率、如何应对角色转变，以及如何看待AI对职业未来 的影响，本文特别对话了几位不同行业的核心岗位中层管理者，聚焦他们在实际工作中关于AI的应用场景、管 理难度变化、职业焦虑与应对思路，相信会为更多身处转型中的中层管理者提供参考。 Q1 AI给你的工作带来了什么样的改变？ 某产投平台高级财务经理 我所在的行业相对传统，AI应用并不普遍，但部分部门确实引入了一些AI工 ...

每经记者｜叶晓丹 每经编辑｜张海妮 2025年，AI（人工智能）技术不断发展深化，从通用大模型到AI应用，AI的边界正在不断拓展。业内对AI能力的探讨也从Copilot（助手）切换到了Agent （智能体）。近期，税友股份（603171.SH，股价49.15元，市值199.72亿元）推出行业首个Agentic平台"数智工场"，尝试通过人机协同模式重构财税服务体 系。 税友股份2025年半年报披露，公司数智财税业务营收同比增长11.95%，数字政务业务营收同比增长16.60%。对效率和准确率的双重诉求，使得AI在财务管 理、风险控制、税务规划等环节的应用需求迅速增长。 但当前，AI Agent仍面临"平方成本魔咒"等行业痛点，财税领域的AI Agent是一个好的落地场景吗？AI Agent能改善SaaS（软件即服务）行业国内用户付费 意愿不强的问题吗？基于上述问题，近期，《每日经济新闻》（以下简称NBD）记者专访了税友股份亿企赢CEO王安笑。 税友股份亿企赢CEO王安笑 图片来源：受访者提供 NBD：我们注意到，AI领域的热词从之前的Copilot切换到了Agent。随着AI技术的不断演进，企业AI落地应用也在 ...

AI Agent@深圳 09.26 报名方式： 扫描海报二维码，关注"锦秋集"公众号，后台回复 "锦秋小饭桌" ，即刻报名！ 立秋季节，最适合找搭子一起，边贴秋膘、边聊技术创新。 吃进去的是美味，聊出来的是灵感。 今天上新三场 9-10 月活动，如有戳中你的兴趣，或是你正在从事的方向，欢迎报名加入！ 具身智能@北京 10.10 机器人派对@深圳 10.17 「锦秋小饭桌」 Vol.32 深圳 AI Agent 专场 TIME 2025.09 .26 18:30 ADD 深圳 吃饱了 咱们一起 去改变世界! 扫码报名 解锁餐桌暗号 吃饱了 上白 咱们一起 饭泉 秋 去改变世界! r均11 1 k = 11 1 22 ' '坤'人小以示] VU.JJ 具身智能系列专场 TIME - 2025.10.10 18: 30 ADD 北京 三元桥 扫码关注"锦秋集" 后台回复"锦秋小饭桌"即刻报名 吃饱了 咱们一起 去改变世界! 地 锦 秋 X A 精 小 饭 酸 馆 桌 「锦秋小饭桌」 Vol.34 深圳机器人派对 TIME 2025.10 .17 18:00 ADD 深圳 系——欢迎点开往期回顾，找到你感兴趣的话题！ ...

Group 1 - Huawei announced that the number of HarmonyOS 5 terminal devices has surpassed 17 million, indicating rapid growth in the Harmony ecosystem and a comprehensive upgrade of AI experiences [1] - The "Tian Gong Plan" was officially launched, with an investment of 1 billion RMB to support innovation in the Harmony AI ecosystem, encouraging developers to collaborate [1][4] - Over 30,000 applications and meta-services have been launched, showcasing a collective effort in China's tech sector [1] Group 2 - The global tech competition has intensified, with countries increasing investments in R&D to secure key technological advantages, particularly in operating systems and AI [2] - The importance of operating systems as foundational support in the digital world is emphasized, as they manage hardware resources and software applications across various devices [2] Group 3 - Huawei plays a crucial role in the tech competition, having established a solid foundation with OpenHarmony, which now includes 130 million lines of code and over 9,200 community contributors [3] - OpenHarmony has led to the development of over 1,300 hardware and software products across multiple industries, establishing it as a digital foundation for various sectors [3] Group 4 - The "Tian Gong Plan" aims to cultivate over 10,000 AI-native meta-services and 1,000 intent frameworks, providing strong momentum for the Harmony system in the AI era [4] - AI Agents are identified as the next generation of AI, capable of executing complex tasks and enhancing user interaction with digital environments [4] Group 5 - The development of the Harmony AI ecosystem aligns with national strategies for "new quality productivity" and "Digital China," emphasizing the role of AI in driving economic growth and digital transformation [6][7] - The Harmony AI ecosystem is expected to foster new business models and enhance productivity across various industries, including manufacturing and agriculture [7] Group 6 - The growth trajectory of the Harmony ecosystem reflects China's tech industry's strategic focus on "independent innovation and open collaboration," with the ecosystem now accelerating its development [7][8] - The call for partners and developers to embrace Harmony and AI signifies a collective ambition for the future of China's tech industry [8]

目前，美图公司正加速将AI智能助手深度融入产品生态。2025年上半年财报显示，目前美图产品的AI 渗透率已达90%。美图创始人吴欣鸿曾表示，随着AI技术的逐步成熟，美图认为改变影像领域交互的时 机已经到来，这也是美图打造AI Agent产品的原因。 新浪科技讯 9月23日上午消息，美图秀秀将上线AI智能助手，通过全新的交互模式提供垂直场景Agent 服务。据了解，AI智能助手上线时间为9月下旬，其核心能力或来自同门原生AI应用RoboNeo。 责任编辑：江钰涵 ...

Core Insights - DeepSeek has officially upgraded its model to DeepSeek-V3.1-Terminus, enhancing performance based on user feedback, particularly in language consistency and agent capabilities [1][2] - The new model shows improved stability in output, with benchmark results indicating significant performance gains across various assessments [1] - The release of DeepSeek-V3.1 is seen as a breakthrough for domestic large models and chip ecosystems, addressing compatibility issues with NVIDIA's FP8 standard [2][3] Model Performance - The benchmark results for DeepSeek-V3.1-Terminus compared to its predecessor are as follows: - MMLU-Pro: 85.0 (up from 84.8) - GPQA-Diamond: 80.7 (up from 80.1) - Humanity's Last Exam: 21.7 (up from 15.9) - BrowseComp: 38.5 (up from 30.0) - SimpleQA: 96.8 (up from 93.4) - SWE Verified: 68.4 (up from 66.0) [1] Industry Impact - The launch of DeepSeek V3.1 has significantly boosted the domestic computing industry, with expectations for increased applications of domestic AI chips in training and inference [3][4] - The success of DeepSeek is viewed as a victory for open-source models, prompting other Chinese companies to adopt similar open-source strategies [3] - The AI computing demand is projected to grow, benefiting various segments of the computing supply chain, including AI chips and servers [4] Related Developments - DeepSeek's research paper on the R1 reasoning model has been featured on the cover of the prestigious journal Nature, marking a significant achievement in the field [2] - Other companies in the industry, such as Baidu and Alibaba, are also advancing their models, with Baidu's Wenxin model showing a 34.8% improvement in factual accuracy [6] and Alibaba launching its Qwen3-Max-Preview model [6]

Core Insights - DeepSeek has officially upgraded its model to DeepSeek-V3.1-Terminus, enhancing performance based on user feedback and improving language consistency and agent capabilities [1][2] - The new model shows improved stability in output, with benchmark results indicating performance increases in various assessments compared to the previous version [1] - The release of DeepSeek V3.1 is seen as a significant breakthrough for domestic large models and chip ecosystems, reducing reliance on NVIDIA standards and promoting domestic computing power autonomy [2][3] Model Performance - The benchmark results for DeepSeek-V3.1-Terminus show improvements in several areas, including: - MMLU-Pro: 84.8 to 85.0 - Humanity's Last Exam: 15.9 to 21.7 - SimpleQA: 93.4 to 96.8 - BrowseComp: 30.0 to 38.5 [1] - The model's agent capabilities have significantly improved, which is expected to enhance commercial applications of AI agents [3] Industry Impact - The launch of DeepSeek V3.1 has led to a surge in the domestic computing industry, with increased demand for AI chips and related infrastructure [3][4] - The success of DeepSeek is viewed as a victory for open-source models, prompting other Chinese companies to adopt similar open-source strategies [3] - The AI computing demand is projected to grow, benefiting various segments of the computing industry, including AI chips, servers, and related technologies [4] Related Companies - Baidu has released its Wenxin model X1.1, showing significant improvements in performance metrics compared to previous versions and competing models [6] - Alibaba's Tongyi Qianwen has launched the Qwen3-Max-Preview model, marking advancements in the domestic large model sector [6] - SenseTime's new interactive platform integrates with Xiaomi AI glasses, showcasing the application of AI in real-world scenarios [7] - ZTE has introduced several products focused on AI and intelligent computing, facilitating the deployment of DeepSeek models across various industries [7]

Group 1 - The core theme of the YC 2025 Summer Demo Day is the emergence of AI agents as a central focus in AI entrepreneurship, indicating a shift towards highly specialized and autonomous AI solutions across various industries [2][4][10] - Over half of the projects presented at YC S2 mentioned keywords related to AI agents, autonomy, and automation, highlighting a significant trend in the startup landscape [5][6] - The business model is evolving, with B2B companies willing to pay for AI agents that can directly save costs or generate revenue, showing a higher willingness to pay compared to consumer-focused solutions [7][11] Group 2 - AI agents are targeting tasks that are dull, difficult, and expensive (DDE), which are areas where AI excels, thus providing a clear entry point for scaling [10][12] - Examples of successful AI startups include Solva, which automates insurance claims with an annual recurring revenue (ARR) of $245,000 in just 10 weeks, and Autumn, which simplifies complex billing for AI companies [8][9] - The trend is moving towards extreme verticalization, with startups focusing on specific industry pain points rather than creating general platforms, indicating a shift in strategy [14][15] Group 3 - AI is becoming a new type of workforce and expert system across various sectors, with startups addressing niche areas such as AI debt collection and engineering blueprint inspections [15][16] - In healthcare, companies like Perspectives Health are using AI to streamline documentation processes, achieving a 25% weekly growth during pilot phases [16] - The emergence of infrastructure companies that provide foundational tools for AI applications indicates a maturing AI ecosystem, with a focus on the entire lifecycle of software development, deployment, and optimization [24][27] Group 4 - The YC 2025 Summer class signals a shift in investor focus back to the fundamentals of business, emphasizing user retention, unit economics, and potential regulatory risks rather than just technological novelty [28] - The selected projects are increasingly targeting traditional, high-value industries that have not yet been fully transformed by software, such as manufacturing, insurance, and municipal management [28][29] - AI is entering a new phase where it is deeply embedded in business processes, becoming a core engine for driving efficiency and automation [29]

Group 1: AI in Daily Life Services - A food delivery platform is testing an AI service called "Xiao Mei," which allows users to place orders with a single sentence, streamlining the ordering process and personalizing recommendations based on past consumption habits [1] - The integration of AI services simplifies the complex process of searching, comparing, and ordering into an efficient model where users can simply state their needs [1] - The collaboration between "Xiao Mei" and Gaode Map's "Street Ranking" could create a closed-loop service that enhances user experience by combining discovery and purchasing [1] Group 2: AI in Office Collaboration - AI tools like Notion AI and Feishu are transforming office collaboration by generating project plans, meeting minutes, and market research reports from natural language inputs, significantly improving efficiency [2] - The evolution of office AI from executing commands to understanding context and providing suggestions indicates a restructuring of human resources, with repetitive tasks being automated [2] - This shift allows human resources to focus more on creative decision-making, leading to a redefinition of job roles [2] Group 3: AI in Healthcare - AI is advancing in the healthcare sector, moving from post-diagnosis assistance to pre-diagnosis support, with AI models achieving human-level performance in medical exams [3] - AI applications assist throughout the entire medical process, from initial patient assessment to follow-up care, potentially lowering barriers to healthcare access [3] - The emergence of AI as a personal health assistant could significantly benefit areas with uneven healthcare resource distribution [3] Group 4: AI in Creative Fields - AI is evolving from a passive executor to an active co-creator in the creative industry, with tools capable of generating high-quality visual and textual content quickly [3] - This transformation lowers the barriers to content creation, enabling more individuals to become content creators [3] - The ability of AI to understand and refine creative inputs through dialogue enhances the creative process for writers, video producers, and designers [3] Group 5: Investment Implications of AI Evolution - The evolution of AI indicates a shift from passive tools to proactive intelligent agents, changing the competitive landscape where understanding user preferences becomes crucial [4] - Investment in AI applications can be categorized into three stages: usable, useful, and replacement, with current focus on companies that can quickly implement AI solutions [4] - As AI matures, attention will shift to companies that integrate processes across verticals and those that successfully navigate industry-specific models and scenarios [4]