中新网北京9月16日电 (记者刘育英)在16日举行的"2025(第五届)数字化转型发展大会"上，中国信通院发 布"2025政企数智化转型十大关键词"，企业级AI+、智能体应用、企业数据价值化等入选。 大会由中国通信标准化协会主办，中国信息通信研究院承办，中国通信企业协会支持，在北京召开。 栗蔚还表示，本次发布的"十大关键词"涵盖了政企推动数智化转型工作的诸多方面，一定程度上反映了 当下产业各方的关注重点和未来发展方向。 在企业级AI+方面，栗蔚认为，落实"AI+"行动已成为各行业企业实现生产力革命性跃迁、提升生产经 营能力、探索全新商业模式的重要举措。从企业级AI应用整体发展上看，当前，各行业企业在智能问 答、文本写作、智能巡检、代码生成等环节逐步实现"AI+场景"创新，驱动人工智能从领域应用迈向深 化进阶。(完) （文章来源：中国新闻网） 十大关键词分别是："十五五"数字化规划、架构与流程治理、企业级AI+、企业数据价值化、信创生态 化攻坚、AI应用研发、智能体应用、政务数智治理、城市全域数字化转型、数智化成熟度。 中国信通院云计算与大数据研究所副所长栗蔚表示，当前，能源、通信、交通等行业诸多央企已通过建 ...

近日， 未可知人工智能研究院高级授课专家吴小楠老师受浙江省科学技术协会邀请 ，在 2025年浙江省科协系统信息员和新媒体工作人员培训班上 作题为 《DeepSeek提示词技巧与新闻宣传写作》 的专题培训 。全省120余名科协系统宣传骨干参与学习。 在培训中，吴小楠老师立足智媒时代传播特性， 系统解析了AI辅助写作的核心方法论 。课程通过提示词工程优化、科学叙事逻辑重构、多场景宣传文案 生成三大模块，演示了如何借助DeepSeek等智能工具提升新闻稿件的传播效能。现场学员通过实时操作，掌握了精准控制AI输出风格、快速生成适配内容 的实操技能。 合作联系微信： duyuaigc — END — 【关于未可知人工智能研究院】 未可知人工智能研究院聚焦 AI前沿趋势、商业落地与人才发展，致力于成为"AI时代的认知基础设施"。 更多精彩内容，欢迎关注官方微信公众号：未可知 人工智能研究院 。 合作伙伴 TATE GRID 第二三十六号 深圳職業技術大學 SHENZHEN POLYTECHNIC UNIVERSITY 作为人工智能领域的领先机构， 未可知人工智能研究院始终践行AI科普传播先锋的职责 ，开发DeepSeek ...

Market Overview - The Hong Kong stock market experienced a decline, with the Hang Seng Index down 1.19% to 25,215.1 points, the Hang Seng Tech Index down 1.08% to 5,515.77 points, and the National Enterprises Index down 1.26% to 9,013.58 points [1] - Major technology stocks saw widespread declines, with Alibaba down 2.63%, JD.com down 3.84%, and Meituan down 3.14%, while Tencent saw a slight increase of 0.76% [1] - Internet healthcare stocks surged, with Dingdang Health rising over 26%, while Chinese brokerage stocks strengthened, with Zhongzhou Securities up over 13% [1] Company News - Alibaba Group is launching a large-scale AI talent recruitment plan, aiming to hire nearly 1,000 people focusing on advanced technologies such as large language models and AI hardware, with positions available in major cities like Beijing and Shanghai [2] - China Telecom reported a revenue of 271.5 billion yuan for the first half of the year, a year-on-year increase of 1.3%, and a net profit of 23 billion yuan, up 5.5% year-on-year [3] - CK Hutchison Holdings reported a revenue of 240.66 billion HKD for the first half of the year, a year-on-year increase of 3.45%, but a significant net profit decline of 91.65% to 850 million HKD [4] - JD.com reported a second-quarter revenue of 356.7 billion yuan, a year-on-year increase of 22.4%, but a net profit decline of approximately 50.8% to 6.2 billion yuan [4] - NetEase reported a revenue of 56.72 billion yuan for the first half of the year, a year-on-year increase of 8.37%, and a net profit of 18.90 billion yuan, up 31.33% year-on-year [5] Institutional Insights - Analysts from Zhongtai International noted that the current valuation of Hong Kong stocks has significantly recovered, with the Hang Seng Index's forecast PE returning to the mid-level of 2018-2019, and the risk premium at a historical low [6] - Guotai Junan analysts indicated that the overall pressure from capital outflows in Hong Kong stocks may be relatively controllable, with an expected net inflow of over 1.2 trillion yuan for the year [6] - Ping An Securities highlighted that despite uncertainties from U.S. tariffs, China's export data in July was unexpectedly strong, supporting a bullish outlook for Hong Kong stocks [6] - Everbright Securities stated that the overall profitability of Hong Kong stocks remains strong, with relatively scarce assets in sectors like internet, new consumption, and innovative pharmaceuticals, suggesting a favorable long-term investment outlook [6]

据百度内部人士透露，百度搜索首页集成的智能体主要来自文心智能体平台、搜索开放平台接入的外部 优质AI应用、以及部分百度自研应用。目前该功能已在灰度测试，预计很快将全量开放。 不过对于是否正在测试开放智能体应用入口一事，截止发稿，百度官方暂未进行回应。 新浪科技讯 7月30日晚间消息，据报道，百度搜索电脑端正在首页测试开放智能体应用入口。据悉，在 登录状态下，百度用户已使用过的智能体或可能感兴趣的智能体将被列在搜索框下方"我的应用"一栏中 予以展示。 责任编辑：何俊熹 ...

Core Viewpoint - The article discusses the launch of the new flagship model GLM-4.5 by Zhipu AI, which is designed for intelligent agent applications and has been released on HuggingFace and ModelScope platforms [2][3]. Group 1: Model Architecture and Performance - GLM-4.5 utilizes a mixture of experts (MoE) architecture with a total parameter count of 355 billion and 32 billion active parameters, while GLM-4.5-Air has 106 billion total parameters and 12 billion active parameters [4][6]. - The model integrates reasoning, coding, and intelligent agent capabilities, achieving a comprehensive performance ranking in the global top three, and is the leading domestic and open-source model [3][4]. - In comparative tests against models like Claude Code and Kimi-K2, GLM-4.5 demonstrated superior task completion and tool reliability, although it slightly lagged behind Claude-4-Sonnet in some dimensions [8]. Group 2: Cost and Efficiency - The API call pricing for GLM-4.5 is set at 0.8 yuan per million tokens for input and 2 yuan per million tokens for output, making it a cost-effective option [10]. - The high-speed version of the model supports a generation rate of up to 100 tokens per second, catering to high concurrency deployment needs [12]. Group 3: Training Data and Fine-tuning - The training data for GLM-4.5 encompasses 15 trillion tokens of general corpus, supplemented by 8 trillion tokens specifically fine-tuned for coding, reasoning, and agent tasks, enhanced through reinforcement learning [7]. Group 4: Agent Capabilities and Demonstrations - Zhipu AI has released multiple real-world scenario demos to showcase the agent capabilities of GLM-4.5, including a simulated search engine, a video platform simulator, a playable Flappy Bird game, and an automated PPT tool [14].

Summary of Conference Call Notes Industry or Company Involved - The discussion primarily revolves around the public fund industry in China and its impact on the broader financial market. Core Points and Arguments - **Impact of New Public Fund Regulations**: The new regulations aim to address the issue of active funds underperforming, potentially leading to a shift towards passive investment strategies and reducing market volatility. The main benchmarks are the CSI 300 and the CSI 800 indices [1][3][4]. - **Market Sentiment and Activity**: Positive market sentiment is noted, with an increase in total trading volume across all A-shares, a rise in the proportion of strong stocks, and an increase in margin trading. The micro-cap stock index has reached new highs, indicating a favorable market environment for structural opportunities [1][5]. - **Investment Recommendations**: Three main investment directions are highlighted: 1. Self-controlled sectors within the Sci-Tech 50, particularly in military aircraft supply chains and the Harmony operating system [2][7]. 2. Traditional core assets represented by the Shanghai Stock Exchange 50, benefiting from the return to performance benchmarks, including finance, insurance, and public utilities [2][3]. 3. New consumption sectors, focusing on platform economies, elderly care, and maternal and infant products [2]. - **Sectoral Fund Flows**: Following the new regulations, sectors such as banking, non-bank financials, and coal are expected to see significant short-term inflows, while high-tech companies are projected to gradually increase their market capitalization share [3][11]. Other Important but Possibly Overlooked Content - **Growth Themes**: Key growth themes include solid-state batteries, AI, and low-altitude economy, with upcoming technology exhibitions expected to catalyze market interest [8][9][10]. - **Long-term Market Trends**: The long-term outlook suggests a gradual increase in the market capitalization of high-tech companies, particularly in the TMT (Technology, Media, and Telecommunications) sector, which is worth exploring for growth potential [12]. - **Current Market Dynamics**: The current market environment is characterized by a recovery in risk appetite, with the U.S. delaying interest rate cuts and ongoing trade negotiations between China and the U.S. contributing to a stabilizing global equity market [5][6]. This summary encapsulates the key insights from the conference call, focusing on the implications of regulatory changes, market sentiment, investment strategies, and growth opportunities within the public fund industry and related sectors.