会上，硅谷人工智能研究院院长、创始人Piero Scaruffi（皮埃罗·斯加鲁菲）发表主题演讲，系统阐述了2025年生成式AI的发展趋势，并重点探讨了AI智能体 如何从"副驾驶"进化为"自动驾驶仪"，构建全新的数字劳动力体系。 12月9日，由中关村科金和甲子光年联合主办的"超级连接·智见未来" EVOLVE 2025 大模型与智能体产业创新峰会在北京盛大召开。现场，中关村科金首次 公开企业级智能体落地路线图，并发布"3+2+2"智能体产品矩阵，包括大模型平台、AI能力平台、AI数据平台三大基础平台，智能客户平台、智能工作应用 平台两大通用场景应用平台，以及金融和工业两大行业智能体平台，助力企业快速开发智能体，用好智能体。在峰会的核心成果发布环节，中关村科金联合 华为云、阿里云、百度智能云、火山引擎、亚马逊云科技、超聚变、软通动力等企业共同发布"超级连接"全球生态伙伴计划，携手打造开放、连接、可持续 的"人工智能+"产业生态圈。 技术融合催生新范式 他描绘了一个具体场景：AI智能体可以从市场调研开始，设计产品，决定采购方案，向工厂发送规格说明，生成营销材料，培训销售团队，最后提供客户 支持。整个流程在后台自动 ...

12月9日，中关村科金和甲子光年联合主办的"超级连接.智见未来"EVOLVE2025大模型与智能体产业创 新峰会在北京召开。会上，中关村科金首次公开企业级智能体落地路线图，并发布"3+2+2"智能体产品 矩阵，包括大模型平台、AI能力平台、AI数据平台三大基础平台，智能客户平台、智能工作应用平台 两大通用场景应用平台，以及金融和工业两大行业智能体平台；同时，联合华为云、阿里云、百度智能 云、火山引擎、亚马逊云科技、超聚变、软通动力（301236）等企业共同发布"超级连接"全球生态伙伴 计划，携手打造开放、连接、可持续的"人工智能+"产业生态圈，加速企业级智能体规模化落地。 浙江大学教授谭建荣在峰会上指出，大模型并非凭空产生，而是源于小模型的积累与数据建模的深耕。 他强调，数据本身是"一盘散沙"，需通过挖掘其隐含规律与价值转化为知识，而模型本质上就是定量知 识的结构化表达。人工智能的发展依赖数据、算法、算力三大要素，而智能体作为其软硬结合的载体， 集成了感知、理解、决策、控制等核心能力，是实现技术落地的关键。智能体的发展需依托深度学习、 强化学习等基础算法，并通过云、边、端协同部署提升效能。 同时，谭建荣提到， ...

Group 1 - The demand for overseas AI reasoning computing power is expected to grow significantly, with projected increases in total computing power demand for AI Agent applications reaching 8 times, 3.5 times, and 2.5 times from 2026 to 2028 respectively [1] - NVIDIA's upcoming AI chips, Vera Rubin NVL144 and Rubin Ultra NVL576, are expected to outperform previous models significantly, with performance increases of 3.3 times and 14 times respectively compared to the GB300 NVL72 [1] - The supply-demand gap for overseas reasoning computing power is anticipated to widen due to the rapid growth in demand outpacing the evolution of AI chip performance [1] Group 2 - The overall monthly active user growth for domestic AI applications is lagging behind that of overseas applications, with the top 20 overseas AI products showing a monthly growth rate of approximately 4% as of May this year [2] - Doubao has demonstrated a relatively strong performance, with its daily token usage exceeding 16.4 trillion, while Huolanganjing holds a 46.4% market share in the domestic public cloud for large model calls [2] - The positive cycle between overseas AI computing power and applications is expected to drive significant capital expenditure guidance from major North American cloud providers by 2025 [2] Group 3 - The business model of AI Agents is shifting from "providing tools" to "delivering value," indicating a potential revaluation opportunity for SAAS companies [3] - The enterprise-level AI Agents are at a critical point of scalable application, with priority sectors for implementation identified as enterprise services (OA/ERP/CRM), finance/risk control, marketing/e-commerce, manufacturing/supply chain, legal/government, and healthcare/education [3] - The growth of productivity AI agents is being driven by efficiency improvements, with a notable increase in AI tools for programming, education, and creative sectors [3]