Group 1 - The core viewpoint of the articles highlights the rapid development and practical application of AI Agents across various industries, driven by advancements in artificial intelligence technology [1][7] - AI Agents are evolving from "single tools" to "multi-Agent collaboration," indicating a shift towards integrated and cooperative functionalities rather than isolated capabilities [5] - The integration of AI Agents with RPA (Robotic Process Automation) is transforming traditional automation from "rule-driven" processes to "intelligent decision-making," enhancing operational efficiency [2][4] Group 2 - In vertical sectors such as finance and design, AI Agents demonstrate significant advantages, achieving 100% automation in critical processes like credit review and anti-money laundering, thereby eliminating human error [4] - The open-source ecosystem is crucial for the proliferation and rapid development of AI Agents, as seen with OpenManus and AutoGLM, which lower barriers to entry and accelerate ecosystem growth [4][5] - The collaboration between AI Agents and real-world applications is deepening, making them essential drivers of digital transformation and leading a new wave of intelligent change in enterprises [7]

在AI技术快速渗透的今天，AI Agent已从实验室走向企业级应用，成为自动化解决方案的核心载体。从字节跳动的"扣子空间"到OpenManus的开源生态，从 AutoGLM的深度思考到实在智能的TARS-RPA-Agent，市面上的AI Agent产品呈现出百花齐放的格局。这些产品不仅定义了技术边界，更在不同场景中重塑 了人机协作的范式。 RPA与AI Agent的融合：从执行到决策的跃迁传统RPA（机器人流程自动化）曾以"规则驱动"为核心，依赖预设流程完成重复性任务。然而，随着AI技术的 成熟，RPA逐渐与AI Agent结合，形成"RPA+AI"的混合自动化模式。例如，Automation Anywhere推出的AI Agent Studio，通过低代码平台允许用户构建自定 义AI Agent，其核心在于将自然语言指令转化为可执行的自动化流程。而实在智能的TARS-RPA-Agent则进一步突破了这一框架，它不仅具备强大的意图理 解能力，还能在复杂操作系统及桌面软件环境下精准操作，甚至能通过"自主感知"调整策略，实现从"执行者"到"决策者"的跃迁。 垂直领域深耕：AI Agent的差异化优势在金融、政务、 ...

Core Viewpoint - The article discusses the challenges faced by recent graduates entering the workforce and highlights the role of AI tools, specifically "扣子空间," in alleviating these challenges and enhancing productivity in the workplace [2][4][43]. Group 1: Challenges Faced by Graduates - Recent graduates experience significant anxiety and pressure as they transition from academic life to professional roles, often feeling unprepared and isolated in their new environments [4][7]. - Many graduates report feeling overwhelmed by the expectations of their roles, particularly when working alongside more experienced colleagues, leading to feelings of inadequacy and confusion [7][11]. Group 2: Role of AI Tools - "扣子空间" is introduced as a versatile AI tool that assists graduates in various tasks, such as creating presentations, conducting research, and generating reports, thereby reducing the burden of initial job responsibilities [12][16][24]. - The AI tool can generate comprehensive reports and presentations in a short time, allowing users to focus on other aspects of their work and improving overall efficiency [16][41]. Group 3: Enhancing Workplace Integration - The AI tool provides guidance on workplace integration, helping users navigate social dynamics and improve communication with colleagues, which is crucial for new employees [32][35]. - By offering support in tasks like report writing and project management, "扣子空间" acts as a mentor, enabling graduates to adapt more quickly to their roles and build confidence in their abilities [35][43].

撰文｜ 锅包柚 封面图源 ｜ 《无法成为野兽的我们》剧照 本播客由扣子空间（coze.cn）一键生成 排PPT、做播客……妈妈再也不用担心我的工作了！ 职场菜鸟历险记 六月末的社交媒体，应届毕业生们集体上演着大型"精神分裂"现场。 上一秒，他们还在自己的毕业plog里高呼"青春不散场""共有从前，各有未来"，下一秒，就发帖哀嚎"应届生马上要上班真的会焦虑""马上要上班了为什么 这么紧张啊啊啊"…… 明明自己刚把学士帽抛向天空，怎么转头就得套上"职场人"皮肤了， 这剧本切换的速度，未免也太快了！ 为了对抗突如其来的"入职焦虑"，职场萌新们开始疯狂在社交媒体上搜寻各种职场宝典，试图翻出能让自己快速融入职场的秘籍。 松鑫就是其中一位。 作为应届毕业生，刚收到大厂offer时，她满脑子都是"都市丽人"的精致画面， 结果入职第一周，现实就给了她一套"职场新人组合拳"。 先是在同事相处上，松鑫发现同组同事都是有着多年工作经验的"老油条"，毫无共同语言。接着是业务上，之前自己实习做的都是成熟项目，按照SOP照 猫画虎就行，现在却要从0开始做新项目，完全找不到方向。最让她崩溃的是，每当松鑫想找mentor聊工作，mentor ...

未来寄生在ARVR、智能汽车、无人机无人狗、人性机器人…… 过去我们依赖PC键盘大量输入、大显示屏大量输出。 后来我们依赖手机虚拟键盘输入有限内容、手机小屏幕输出有限内容。 未来我们依赖ARVR、智能汽车、无人机无人狗、人性机器人……它们连虚拟键盘都没有，比手机屏幕 更小，输出信息更有限。 我父母亲和小孩，它们使用手机、使用AI大模型，主要使用语音进行输入输出。 我还想到一件事： 企业管理软件最需要大量输入大量输出。在移动互联网时代，企业管理软件既没有受害，也没有受利， 也就是说：和时代无关。 本文来自微信公众号：阿朱说，作者：吕建伟，题图来自：AI生成 AI是大脑，它寄生在设备上： 现在寄生在PC、手机设备。 我现在也在想：在未来，设备更加难以输入输出，企业管理软件是不是依旧和时代无关。 二 过去我们通过搜索引擎找信息，每个网站都拼命做SEO（搜索引擎友好优化），希望把自己的内容推给 搜索引擎，让搜索引擎能最快爬取-索引到它的内容。 一 现在我们使用AI大模型找信息，每个网站现在也在积极搞MCP，希望自己的内容很容易被大模型调用 到。吴晓波今年讲过一个观点我比较认同：哪里有流量就去哪里。大模型现在有新流量， ...

1、行业：模型竞赛冷却，AI进入产品化与生态整合。各大平台不再仅仅卷参数和论文，而是争夺用户入口、智能体标准和终 端能力。 2、模型：大模型不再是简单被动的"回答器"，在生成回答之前，它会进行复杂的"自我对话（Self-Reflection）"和多步推理。变 得越来越像人一样：一边思考，一边行动。 3、智能体：正在根本性地改变人与软件交互和工作的方式。从"知识助理"或"内容生成器"，进化成能独立完成任务的"数字员 工"。人机界面从传统的"工具栏+菜单"，变成更自然、更直观的"自然语言+智能执行"。 4、AI编程：AI编程从辅助走向全面委派。编程不再是一种纯粹的"手艺活"或"体力活"，价值重心从具体的编码技能，转向了更 具战略性的产品设计能力、系统架构能力和决策能力。 5、商业模式：2025年，行业共识从MaaS（Model as a Service，模型即服务），转变为RaaS（Results as a Service ，结果即服 务）。AI从成本中心直接转化为利润引擎。 6、职业冲击：品味、判断、方向感，才是人无法被替代的核心能力。别怕AI会抢走你的工作。怕的是，你没有准备好，成为 一个能够和AI协作的人。 ...

Core Insights - The main narrative in the industry revolves around the adoption of AI Agents, with MiniMax being one of the key players launching new products in this space [1][2][5] - There is a significant gap between the current capabilities of AI Agents and their potential for commercialization, as many companies face challenges in practical implementation [9][10] Product Launches - MiniMax recently introduced the Hailuo Video Agent, which generates professional-quality videos based on user inputs, aiming to democratize video creation [2] - Another product launched is a Long Horizon general-purpose Agent capable of multi-step planning and executing complex tasks, which has seen adoption by over 50% of MiniMax's internal employees [5] Market Position and IPO Plans - MiniMax is reportedly considering an IPO, with a current valuation of approximately $3 billion (around 21.6 billion RMB), and has engaged financial advisors for this process [7][8] - The company previously raised $600 million in Series A funding in March 2024, with a valuation of about $2.5 billion (around 18 billion RMB) [7] Industry Trends - The AI Agent market is rapidly evolving, with many startups and established companies like ByteDance and Alibaba entering the space [6] - The year 2023 is being referred to as the "year of AI Agents," with various companies launching their own products to capture market share [5][6] Challenges and Limitations - Despite advancements, the technology behind AI Agents is still not fully mature, leading to challenges in real-world applications and user satisfaction [9][10] - Industry experts, including Andrej Karpathy, express skepticism about the readiness of AI Agents, comparing their development to the ongoing challenges in autonomous driving technology [10]

这只是豆包产品迭代的一个细节。据华尔街见闻观察，3月份以来，豆包明显加快了产品迭代速度，先 是升级了1月上线的"AI编程"功能，接着豆包新版深度思考功能开启测试，此后，豆包在图片和视频功 能上迎来多次更新。 作者 | 刘宝丹 编辑 | 黄昱 AI应用追击战还在持续。自从年初被DeepSeek 超过，豆包就加快了产品迭代步伐。 6月17日，华尔街见闻获悉，豆包电脑版已全量上线AI播客功能。用户点击"AI播客"，上传PDF或网页 链接后，可一键生成双人对话的播客节目。目前，豆包App也已开启小流量测试，将于近期全量上线。 不同于传统 AI 播客通常不够口语化、听感机械且缺乏互动，该能力基于豆包大模型团队推出的语音播 客模型，让文本创作到双人对话式播客仅需秒级转化，实现"低成本、高时效、强互动"的创作体验。 一位主做C端应用的AI独角兽公司内部人士对华尔街见闻表示，公司目前的重点是研究下一代模型，至 于产品迭代，很大程度上要取决于公司对下一代模型技术路径的押注，这才是决定AI产品的核心能 力。 事实上，无论是AI对话类产品还是AI助手，抑或AI浏览器，都可能只是AI杀手级产品的中间形态。对 豆包来说，无论是AI播客 ...

金融工程 证券研究报告 |深度研究报告 2025/06/13 AI投研应用系列之二： 从大模型到智能体，扣子Coze在金融投研中的应用 马自妍 S1190519070001 证券分析师： 分析师登记编号： 刘晓锋 S1190522090001 证券分析师： 分析师登记编号： P2 目录 请务必阅读正文之后的免责条款部分 守正 出奇 宁静 致远 1. AI Agent赋能投研应用 2. Coze核心功能解析 3. Coze投研应用实践 4. Coze投研应用相关插件 5. Coze在投研领域的应用前景展望 1、AI Agent赋能投研应用 1.1 AI Agent助力智能投研落地 2025年大语言模型（LLM）在技术层面迎来爆发式发展，但在实际应用落地中仍面临一定的局限：复 杂任务拆解能力不足、多工具协同效率低、专业场景适配成本高等问题，制约了其从技术能力向生产 力的转化。 AI Agent通过整合LLM的核心认知能力与外部工具、自动化工作流及领域知识库，助力大模型在智能 投研场景应用中高效落地。 字节跳动于2024年2月推出Coze扣子平台，2025年4月发布"扣子空间"协同办公系统，并于2025年5 月全面 ...

Core Insights - Quark has launched China's first AI model specifically designed for college entrance examination (Gaokao) application scenarios, featuring three core functions: deep search, application report, and intelligent application selection [3] - The model was fine-tuned by benchmarking against industry experts, ensuring that it meets the unique requirements of Gaokao application, which demands high accuracy and logical coherence [3][4] - The fine-tuning process involved creating a structured knowledge base covering over 2,900 universities and nearly 1,600 undergraduate programs, with a focus on data verification and cross-referencing [4] Model Fine-Tuning - The fine-tuning of the model is critical, involving targeted instruction adjustments and the collaboration of hundreds of experts to create a unique generation mechanism [4] - The team distilled thousands of past decisions from human experts to develop a reasoning chain that informs the model's decision-making process [4] - The model's design includes a mechanism to prevent "hallucinations," ensuring that the final recommendations are based on real data and historical validation [4] Agent Product Development - Quark's team served over 30 million users, with 50% being students from third-tier cities or below, indicating a significant market reach [6] - The introduction of the Agent format represents a shift in the industry, with a focus on providing expert-level advice rather than just public information [6] - The year is seen as a pivotal moment for Agent products, with major tech companies rapidly advancing their offerings in this space [6][7] Market Trends - The global AIGC technology penetration is projected to exceed 40% by 2025, with the AI Agent market expected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, reflecting a compound annual growth rate of 44.8% [7]