当地时间12月9日，全球AI领域的两大竞争对手OpenAI和Anthropic，以及金融科技巨头Block共同宣布成 立AI智能体基金会（AAIF）。 在 AI 智能体这个"兵家必争之地"，硅谷巨头们选择了"合纵连横"。 该基金会由管理Linux操作系统等开源项目的Linux基金会负责运作，并获得了包括谷歌、微软、亚马逊 AWS、彭博社和Cloudflare在内的众多科技巨头的支持。 这一合作旨在为AI智能体系统从实验阶段迈向现实应用提供中立管理和开放、可互操作的基础设施，标 志着硅谷巨头们认识到，在智能体这一"继大模型之后最具潜力"的商业化赛道上，开放标准比封闭竞争 更符合其长期利益。 01.为何要建立"智能体联合国"？ AI智能体正被视为继大语言模型之后最具潜力的商业化方向。它们不仅限于问答，还能执行实际操作： 完成交易、管理复杂任务、相互协商，并大规模参与企业运营。然而，随着智能体应用场景的扩大，行 业面临两大痛点： 一是互操作性与重复劳动危机。在现有模式下，不同公司开发的智能体和工具彼此之间难以"交流"。企 业每部署一个新的智能体系统，都必须投入大量资源自建连接器（Connectors），重复劳动巨大 ...

刚刚，Linux 基金会正式宣布推出智能体 AI 基金会（Agentic AI Foundation，简称 AAIF）。据公告披 露，AAIF 定位为 AI 智能体（AI agents）相关开源项目的中立托管平台，全球几乎所有科技巨头均已签 约成为该基金会成员。Anthropic、OpenAI 与 Block 三家公司作为联合创始成员，将贡献三大开源项 目，构成基金会启动初期的支柱。 目前，AAIF 基金会的成员名单包括亚马逊云科技、Anthropic、Block、Cloudflare、谷歌、微软、 OpenAI、思科（Cisco）、IBM、甲骨文（Oracle）、Salesforce、SAP、Snowflake、Hugging Face 等。 他们将首次携手，共同制定 AI 智能体的开放标准。 初代核心标准已定，无单一成员独占话语权 当前，AAIF 基金会围绕三大开源项目构建：Anthropic 的模型上下文协议（Model Context Protocol，简 称 MCP）、Block 的 goose 项目，以及 OpenAI 的 AGENTS.md 规范。三者将协同实现 AI 智能体与外 部工具的交互标 ...

Core Viewpoint - RISC-V architecture is an open international standard that facilitates collaboration and innovation in the semiconductor industry while enhancing the competitiveness of U.S. chip design companies [1][10]. Group 1: RISC-V Overview - RISC-V is an open standard ISA based on RISC principles, allowing chip design teams to access and implement it without licensing restrictions [6]. - The RISC-V International organization, managing RISC-V, has attracted 4,600 members from 70 countries, including major U.S. and Chinese companies [7]. Group 2: Market Position and Growth - RISC-V is gaining traction in various sectors, with over 2 billion chips currently based on its architecture, expected to grow to 20 billion by 2031 [8]. - The market revenue for RISC-V technology is projected to grow at a compound annual growth rate of 33.1% from 2022 to 2027 [12]. Group 3: Competitive Advantages - RISC-V offers a low-cost alternative to proprietary ISAs like x86 and ARM, allowing companies to customize their implementations without high licensing fees [9]. - The flexibility of RISC-V enables easier customization for performance advantages, making it attractive for both large enterprises and startups [13]. Group 4: Security and Intellectual Property - RISC-V does not require companies to disclose sensitive IP, ensuring a secure environment for collaboration and development [10]. - The open nature of RISC-V is believed to enhance security by allowing the community to identify vulnerabilities [10]. Group 5: Future Applications and Infrastructure - RISC-V is currently used in embedded technologies and has potential applications in AI, HPC, and consumer electronics [15]. - For RISC-V to become mainstream, a robust ecosystem of tools and support systems must be developed [16]. Group 6: Policy Implications and Strategic Opportunities - U.S. policymakers need to better understand RISC-V to maintain competitiveness and avoid ceding innovation to other countries [18]. - Active participation in RISC-V standard-setting is crucial for U.S. companies to influence its development and avoid fragmentation of the ecosystem [19]. Group 7: Recommendations for U.S. Leadership - The U.S. should invest in RISC-V training and education to cultivate a workforce skilled in this technology [24]. - Government support for RISC-V initiatives can accelerate its development and integration into the semiconductor ecosystem [26].