10月10日，谷歌云发布企业级AI解决方案——Gemini Enterprise（Gemini企业版）。 谷歌不再满足于提供零散的AI工具或模型，而是试图构建一个平台，一个"工作场所AI的新入口"。谷歌的核心逻辑是：真正的企业AI变 革，必须超越简单的聊天机器人。它需要一个能将AI智能、企业数据、业务流程和员工无缝连接起来的、全面、安全且集成的平台。 Gemini企业版正是承载这一愿景的产物。 谷歌CEO桑达尔·皮查伊表示，谷歌云年化收益已突破500亿美元，其中大部分增长由AI驱动，超过65%的云客户正在使用其AI产品。AI正 在重塑整个云市场，而谷歌希望通过 "全栈AI"的方式，定义下一个时代。 Gemini企业版的平台野心 谷歌云CEO托马斯·库里安（Thomas Kurian）将Gemini企业版定义为一个统一了六大核心组件的端到端平台，而非一个孤立的应用： 大脑:平台的核心是谷歌最先进的Gemini系列模型。这是驱动一切智能的引擎，Gemini 2.5 Pro在行业基准测试中已领先超过六个月。 工作台:这是一个企业级代理框架，其最大亮点是支持"无代码"方式构建和编排AI Agent。这意味着从市场到财 ...

（原标题：李开复： AI落地企业，智能体是CEO最需关注的核心技术） Gartner曾在报告中预测，到2028年，33%的企业级软件应用将整合AI Agent，届时，15%的日常工作任 务决策可实现完全自主化。 李开复表示，AI Agent浪潮是中国产业升级、实现数智化转型必须抓住的机遇，将深刻改变组织的工作 方式和组织形态，成为推动下一轮商业智能变革的核心引擎。 （零一万物CEO李开复、联创沈鹏飞接受记者采访 董静怡/摄） 从"降本"到"增效" Agent已经不是一个新的概念，多家大厂和创业公司纷纷布局，但市场对于其实际应用效果一直有疑 虑。 "AI Agent如果只能做到降本，那企业客户的付费意愿其实还是偏低的。"零一万物联合创始人沈鹏飞向 21世纪经济报道记者表示，企业更为关注的是其能否真正带来"增量"价值。 而如今，Agent技术在经历重要演进。 21世纪经济报道记者 董静怡 上海报道 海内外科技企业Agent产品持续涌现，行业对于AI Agent在技术架构和产品形态层面正在逐步成型， 2025年正在成为的"AI Agent元年"。 "超级智能的AI和Agent将无处不在，我们相信它将带来有史以来最大 ...

2025年，围绕人工智能的主流叙事正在发生一场深刻转向：以大模型为基础能力、Agent（智能体）为交互核心的新范式，开始加速向各个行业渗透。技术 能力的暴发式增长 ，也在倒逼商业逻辑、组织形态和投资策略的全面重构。 9月17日，由《财经天下》发起，携手《人物》《每日人物》共同举办的"2025异想大会"在北京举行。大会以"X狂想曲"为主题，邀请来自学界、投资界、产 业界等科技领域的多名专家、企业家，共同探索AI行业前沿技术，热议行业发展趋势。 大会致辞环节，博雅天下传播机构董事长、创始人荣波表示，我们正处在一个千行百业被人工智能加速迭代的阶段。那些曾经只存在于人们想象中的场景， 正借助人工智能的力量成为现实。现在，人工智能不再只是技术的代名词，它已经成为国际竞争的战略核心。它如同一场新的"工业革命"，正在重新定义所 有产业。 ▲博雅天下传播机构董事长、创始人荣波 "技术突破与产业落地正在中国大地发生同频共振。无数怀揣梦想的创业者，正将技术转化为商业现实和生活的便利。"荣波说，大模型在金融、医疗、制 造、智慧城市等领域的深度嵌入，催生了大量智能化升级需求，生成式AI应用的暴发式增长，又反过来推动了对高性能算力和先 ...

Core Viewpoint - Google and Coinbase have launched a new protocol called AP2 (Agentic Payments Protocol) aimed at enabling AI agents to make secure payments autonomously [1][2]. Group 1: Challenges Addressed by AP2 - The emergence of AI agents capable of executing complex tasks raises concerns about how these agents can safely handle payments [3]. - Google identifies three core challenges in AI payments: Authorization, Authenticity, and Accountability [4][7]. - Without a unified standard, the market could become chaotic and insecure, which AP2 aims to address by providing an open solution [7]. Group 2: Mechanism of AP2 - AP2 introduces a concept called "Mandate," which acts as a verifiable authorization step before payment is made, ensuring that user intent is accurately captured and protected [8]. - The protocol transforms the traditional "click to buy" model into a more rigorous "contractual dialogue" model, binding user intent, AI actions, and final payments together [8]. Group 3: Use Cases of AP2 - AP2 is designed for two main scenarios: real-time purchases where the user is present and delegated purchases where the user is not present [12]. - In real-time purchases, users must confirm and sign off on a shopping cart before AI can complete the payment [12]. - In delegated purchases, users provide pre-authorization for AI to act on their behalf under specified conditions [12][13]. Group 4: Role of Coinbase - Coinbase plays a crucial role by integrating cryptocurrency, particularly stablecoins, into the AP2 protocol, allowing AI agents to have their own wallets [14][15]. - This integration addresses the challenge of AI agents lacking legal identities to open traditional bank accounts, facilitating efficient micro-payments between AI agents [15]. Group 5: Ecosystem and Support - The AP2 protocol is supported by over 60 leading companies across various sectors, including traditional payment giants and blockchain firms, ensuring compatibility with multiple payment methods [17][21]. - This broad collaboration aims to prevent fragmentation of technology standards and promote interoperability for future smart commerce [21]. Group 6: Future Implications - The introduction of AP2 paves the way for the "Agent Economy," where AI can autonomously handle complex tasks and transactions, enhancing user experience and creating new business models [22][23]. - While still in early stages, the protocol's potential impact on shopping and service delivery is significant, allowing users to delegate complex tasks to AI [23].

人工智能正在进入"智能体群"时代，并推动各行业"技术平权"。煜马（深圳）数据信息有限公司（简 称"煜马数据"）近日正式发布其自主研发的"AgentBull金融智能体"。 目前，人工智能在金融领域的应用正进入深水区，依赖单一超大型大语言模型的人工智能技术路径，在 金融领域这一对精准度、时效性和成本效益要求极高的场景下，逐渐暴露出难以调和的内在矛盾。针对 这一行业共同面临的挑战，AgentBull提出了"多智能体交互框架"的破局路径。 在业内人士看来，数量庞大的智能体之间彼此交互、执行任务、交换数据、交换信息，甚至交换任务， 而人类与这些智能体群的交互，将构成所谓的"智能体经济"。而Agent（智能体）将重塑企业流程，"超 级个体+agent"会带来巨大的结构性变革。 煜马数据介绍，该框架并非试图打造一个无所不晓的"通才"，而是构建一个由各领域顶尖"专家"组成的 协同作战团队。AgentBull将复杂的投研任务拆解，由数据抓取、产业链逻辑、量化分析与风险预警等 多个专精智能体协作完成。 该产品标志着金融AI正从"秘书级"信息归纳迈向"专家级"决策辅助，也意味着金融投研的"技术平权"正 在逐步落地。 ...

人工智能正在进入"经验时代"；文明的下一跃，需要AI"大脑"与核聚变"心脏"；基础设施加速扩张，AI 正步入"产业规模化"……9月11日上午，以"重塑创新增长"为主题的2025 Inclusion·外滩大会在上海黄浦 世博园区开幕。来自16个国家和地区的550位嘉宾参会分享，全球顶尖学者、产业界人士、青年创业者 和科学家，共同探索智能时代的创新路径与商业未来。 孙玄在演讲中援引数据称："AI目前用电量占地球的1.5%，如果我们把AI比喻成'地球大脑'的话，人的 大脑能耗占人体的20%，因此有人预测，AI的耗电量也将占地球总数的20%以上。"这意味着，仅人工 智能一个领域，就将产生巨大的能源缺口。 基础设施加速扩张，AI 正步入"产业规模化" 在外滩大会开幕主论坛上，源码资本投资合伙人、美国国家工程院外籍院士张宏江表示，大模型的"规 模定律（Scaling Law）"仍然有效，而智能体与经济结构转型将深刻重塑社会。 张宏江指出，人类正在进入"智能体群（agent swarm）"时代，也就是数量庞大的智能体之间彼此交互、 执行任务、交换数据、交换信息，甚至交换任务，而人类与这些智能体群的交互，将构成所谓的"智能 ...

来源：环球网 人工智能正在经历从数据驱动向体验驱动的范式转变。2024年图灵奖得主理查德·萨顿提出了"经验时 代"的概念，标志着AI发展进入新阶段。他认为，人类数据红利正逼近极限，人工智能需要从与世界的 直接交互中生成新的知识源，这正是人类和其他动物的学习方式。 图：理查德·萨顿在2025外滩大会开幕式主论坛发表主旨演讲 规模定律仍然主导着AI发展轨迹。美国国家工程院外籍院士张宏江指出，大模型的"规模定律"仍然有 效，而推理模型的出现塑造了大规模发展的新曲线——"推理规模定律"。上下文、记忆等层面对计算的 需求持续推升着算力扩张。 基础设施扩张支撑AI产业化进程。张宏江列举了OpenAI的Stargate和Musk的Colossus等项目，2025年美 国主要科技公司的AI相关资本开支预计超3000亿美元，整个AI数据中心产业链正经历大规模建设热 潮。 智能体经济正在形成。人类正在进入"智能体群"时代，数量庞大的智能体之间彼此交互、执行任务、交 换数据和信息，甚至交换任务。人类与这些智能体群的交互，将构成全新的"智能体经济"。 【环球网科技报道 记者 李文瑶】9月11日，以"重塑创新增长"为主题的2025 I ...

Group 1 - The 2025 Inclusion Bund Conference opened in Shanghai with the theme "Reshaping Innovative Growth," featuring 550 guests from 16 countries and regions, including notable figures like Richard Sutton and Yuval Noah Harari [1] - The conference focused on five main topics: "Financial Technology," "Artificial Intelligence and Industry," "Innovation and Investment Ecosystem," "Global Dialogue and Cooperation," and "Responsible Innovation and Inclusive Future," with a total of 44 forums and a technology exhibition [1] Group 2 - Zhang Hongjiang, a partner at Source Code Capital, discussed the emergence of the "agent swarm" era, where numerous intelligent agents interact and exchange tasks and information, leading to the concept of "agent economy" [2] - He emphasized that models and GPU computing power will become core assets for organizations, urging companies to enhance their computing power and data richness [2] - The integration of "super individuals" and agents is expected to bring significant structural changes to business processes [2]

Core Insights - The "Scaling Law" for large models remains valid, indicating that higher parameter counts lead to better performance, although the industry perceives a gradual slowdown in pre-trained model scaling [3] - The emergence of reasoning models has created a new curve for large-scale development, termed "reasoning scaling," which emphasizes the importance of context and memory in computational demands [3] - The cost of using large language models (LLMs) is decreasing rapidly, with the price per token dropping significantly over the past three years, reinforcing the scaling law [3] - AI is driving massive infrastructure expansion, with significant capital expenditures expected in the AI sector, projected to exceed $300 billion by 2025 for major tech companies in the U.S. [3] - The AI data center industry has experienced a construction boom, which is expected to stimulate the power ecosystem and economic growth, reflecting the core of "AI industrial scaling" [3] Industry Transformation - Humanity is entering the "agent swarm" era, characterized by numerous intelligent agents interacting, executing tasks, and exchanging information, leading to the concept of "agent economy" [4] - Future organizations will consider models and GPU computing power as core assets, necessitating an expansion of computing power to enhance model strength and data richness [4] - The integration of "super individuals" and agents is anticipated to bring about significant structural changes in enterprise processes [4]

Group 1 - The core viewpoint of the discussions at the 2025 Inclusion Bund Conference emphasizes the rapid development of AI technology and the opportunities it presents for innovation in various fields [1][2] - Wang Xingxing, CEO of Yushu Technology, expressed regret for not focusing on AI development earlier and highlighted the current state of AI applications as being on the verge of explosive growth, particularly in the realm of data utilization [1] - A significant challenge identified is the difficulty in determining the standards for high-quality data and how to effectively collect it, which is crucial for improving data utilization rates [1] Group 2 - Zhang Hongjiang, a partner at Source Code Capital, introduced the concept of the "agent swarm" era, where numerous intelligent agents interact and execute tasks, leading to the emergence of an "agent economy" [2] - The interaction between humans and these agent swarms is expected to reshape enterprise processes, indicating a potential for substantial structural changes in business operations [2]