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小米应用商店打通扣子发布通路,加速拓展AI智能体生态
news flash· 2025-08-01 06:17
Core Insights - Xiaomi App Store announced a partnership with ByteDance's AI Agent development platform "Kouzi" to enhance the distribution capabilities of AI agents [1] Group 1 - The collaboration aims to enable one-click publishing capabilities for AI agents [1] - This partnership is expected to further expand the AI agent distribution service system [1]
全国产智能体MasterAgent:一句话造专属AI团队,专业协同交付
3 6 Ke· 2025-08-01 02:22
现在,一家来自中科大的本土团队——深元人工智能,自主研发了全球首个L4级智能体母体系统MasterAgent,以"多智能体极速生成、专业协作、定制调 优"三大特性,让智能体真正走进用户的生活之中。 首个L4级多智能体生成与协作平台 深元人工智能的核心技术团队来自中国科学技术大学,自2018年起便专注智能体自主决策领域研究,是土生土长的国产AI科技公司。 2025年5月18日,深元人工智能正式对外发布了一款全自主研发的智能体产品——MasterAgent智能体母体系统,是全球首个L4级多智能体生成与协作平 台,专为解决复杂问题而生。其中,L4级别对标无人驾驶技术中的概念,表示MasterAgent可以全程自主完成任务,期间无需人工干预。而"多智能体生成 与协作",正是MasterAgent能够自主完成复杂任务的核心技术之一。 MasterAgent坚持核心技术自主研发,确保从底层架构到上层应用的安全可靠 如果说大语言模型让全世界看到了AI的潜力,那么AI Agent(AI智能体)就是这场生产力革命中的核心工具。 作为由大语言模型驱动,能自主调用工具帮助人类完成复杂任务的代理程序,AI智能体的出现让AI能力从单一 ...
8点1氪|英伟达因H20芯片漏洞后门被约谈;8月起现金买黄金超10万需上报;微软成史上第二家市值破4万亿美元公司
3 6 Ke· 2025-08-01 00:14
Group 1 - Tianlian Robot Co., Ltd. is preparing for an IPO on the Sci-Tech Innovation Board, with a counseling report indicating no controlling shareholder and a 48.53% shareholding by the actual controller and associated parties [1] - Yunhan Chip City has received approval from the CSRC for its IPO on the Growth Enterprise Market [2] - Nvidia faced a security issue with its computing chips, leading to a meeting with China's internet regulator to address concerns about potential backdoor vulnerabilities [3][4] Group 2 - Microsoft became the second company in history to surpass a market capitalization of $4 trillion, although it closed below that mark on the same day [4] - The Chinese government has implemented new regulations requiring reporting of cash transactions over 100,000 yuan to combat money laundering [4] - The National Medical Insurance Administration has included assisted reproductive technology in reimbursement policies, benefiting over 1 million people in 2024 [6] Group 3 - The marriage registration rate in China increased in the first half of 2025, with 353.9 million couples registered, up by 10.9 million from the previous year [7] - Li Ka-shing's company is marketing 400 properties in the Greater Bay Area, with prices starting at 400,000 yuan [8] - Ceconomy anticipates that the EU will review JD.com's acquisition plans, indicating the transaction's significance [9] Group 4 - OpenAI's annual revenue reached $12 billion, with an increased cash burn forecast for 2025 [10] - Kering Group reported a 15% revenue decline in Q2 2025, with Gucci's sales down 27% for the sixth consecutive quarter [11] - Amazon's Q2 revenue was $167.7 billion, with a 35% increase in net profit, although it fell short of revenue expectations [12] Group 5 - China Petroleum & Chemical Corporation (Sinopec) expects a 39.5% to 43.7% decline in net profit for the first half of 2025 [13] - BMW Group reported an 8% decrease in revenue and a 29% drop in net profit for the first half of 2025 [14] - WeRide's Q2 revenue grew by 60.8%, with its Robotaxi business achieving a record revenue increase [15]
赋能未来营销:AI智能体驱动下的“一人公司”智能营销全链路实践
Sou Hu Cai Jing· 2025-07-31 13:38
Group 1 - The core topic of the event was the application of AI agents in marketing, focusing on how to build and implement intelligent marketing strategies for "one-person companies" [1][3] - AI agents are revolutionizing marketing by enabling automation and intelligence across the entire marketing chain, including market insights, content creation, channel distribution, user interaction, and data analysis [3][5] - The event highlighted the importance of integrating the latest AI technologies into educational curricula to cultivate forward-thinking and practical talents in response to the demand for high-tech professionals [5][6] Group 2 - Guangzhou Wei Technology Co., Ltd. is a high-tech enterprise dedicated to applying digitalization and AI large model technology to assist industries in intelligent sales and upgrades [8] - The company offers a one-stop solution for intelligent upgrades, including products like AI marketing employees and a distribution platform system [8] - The team consists of members from major tech companies such as ByteDance, Alibaba, and Baidu, focusing on digitalization and intelligence [8]
AI智能体概念集体走强,24位基金经理发生任职变动
Sou Hu Cai Jing· 2025-07-31 07:57
基金经理是一只基金产品最核心的成员,能决定一只基金的投资方向、投资策略以及投资风格,基金经理出色的择时选股 能力和调研预测能力是基金业绩的有力保证,所以基金经理是投资者在选择基金产品时的重要依据;基金经理的变动很大 程度上会影响到基金产品未来的表现,是一个需要特别关注的信息。 根据巨灵统计的数据显示,近30天(7.1-7.31)共有442只基金产品的基金经理发生离职变动。其中今天(7.31)有18只基 金产品发布基金经理离职公告,从变动原因上来看,有7位基金经理是由于工作变动而从管理的18只基金产品中离职。 | 基金经理 | 基金名称 | 基金代码 | 公告日期 | 变动日期 | 任职状态 | 变动原因说明 | | --- | --- | --- | --- | --- | --- | --- | | 姚璐伟 | 工银瑞信稳健丰盈30天滚动持有债券A | 020524 | 2025/7/31 | 2025/7/29 | 蜜脂 | 工作变动 | | | 工银瑞信稳健丰盈30天滚动持有债券C | 020525 | 2025/7/31 | 2025/7/29 | 离廊 | 工作变动 | | 徐猛 | 华夏中证动漫游 ...
A股午评:指数涨跌不一,沪指跌0.68%创业板指涨0.43%北证50涨0.12%,AI硬件板块走强,周期性板块全线下跌!超3400股下跌,成交1.15万亿放量556亿
Ge Long Hui· 2025-07-31 05:02
另外,钢铁、煤炭、油气、有色金属等周期性板块全线下跌,安阳钢铁(600569)、包钢股份(600010)、 安泰集团跌超5%。(格隆汇) (责任编辑:宋政 HN002) 格隆汇7月31日|A股三大指数涨跌不一,截至午盘收盘,沪指跌0.68%报3591.26点,深成指跌0.45%, 创业板指涨0.43%,北证50指数涨0.12%。沪深京三市成交额11578亿元,较上日放量556亿元,两市超 3400只个股下跌。 盘面上,辅助生殖概念涨幅居前,共同药业、利德曼(300289)20cm涨停,我国31省将辅助生殖技术纳入 医保;液冷服务器概念全线走强,思泉新材20CM涨停,英维克(002837)、淳中科技等涨停封板;CPO 概念股大涨,汇绿生态、剑桥科技(603083)涨停,中际旭创(300308)、新易盛(300502)均创历史新高;创 新药板块再度活跃,奥翔药业(603229)、康缘药业(600557)等涨停;AI智能体概念集体走强,易点天 下、用友网络(600588)、南兴股份(002757)涨停,百度搜索首页测试开放智能体应用入口。 【免责声明】本文仅代表作者本人观点,与和讯网无关。和讯网站对文中陈述、观点判 ...
百度搜索首页测试开放智能体应用入口,AI智能体概念盘初走强
Jin Rong Jie· 2025-07-31 03:08
本文源自:金融界 消息面上,百度搜索电脑端正在首页测试开放智能体应用入口。据内部人士透露,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。 7月31日消息,周四早盘,AI智能体概念走强,南兴股份涨停,易点天下、立方控股、恒锋信息、普元 信息、鼎捷数智等涨幅靠前。 ...
AH股齐跌,沪指跌1%,算力硬件股拉升,恒指跌超1%,科网股走低,国债涨,商品跌
Hua Er Jie Jian Wen· 2025-07-31 02:10
Market Overview - A-shares opened lower with the Shanghai Composite Index down 1% and the ChiNext Index turning negative after briefly rising over 1% [1] - The Hang Seng Index fell over 1%, with notable declines in automotive and tech stocks, including NIO down over 3% and Meituan down over 4% [2][3] - The bond market saw a rally in government bond futures across the board, with the 30-year contract up 0.53% [3][4] Sector Performance - In the A-share market, sectors such as steel, coal, and precious metals led the decline, with nearly 3,400 stocks in the Shanghai and Shenzhen markets falling [6] - The domestic commodity futures market experienced declines, with coking coal down over 6% and glass down over 5% [4][5] - The AI and computing hardware sectors saw gains, with companies like Yuanjie Technology rising over 12% and Jianqiao Technology hitting the daily limit [10][11] Notable Stocks - Industrial Fulian surged over 6%, reaching a new historical high with a trading volume exceeding 2.8 billion yuan [13] - Meituan's stock fell over 4%, marking a new low in over two weeks, following news of Prosus reducing its stake in the company by $4 billion [15] - The innovative drug sector remained active, with Nanjing New Pharmaceutical hitting the daily limit and several other companies rising over 5% [19][20] Commodity Market - The domestic commodity futures market saw significant declines, with coking coal down 6.29%, glass down 5.42%, and silicon iron down 4.72% [5][23] - The opening of commodity futures showed a continued downward trend, with major contracts for lithium carbonate, coking coal, and glass all dropping over 4% [24]
请收下,看了就会的8个AI降本增效技巧
3 6 Ke· 2025-07-30 23:39
Core Insights - The article emphasizes the importance of leveraging AI as a tool for businesses to reduce costs and enhance efficiency, positioning AI as a means for companies to navigate challenges more effectively [1][2][25]. Cost Reduction Techniques - **Automating Repetitive Tasks**: AI can handle tasks such as data entry and invoice processing, significantly increasing efficiency. For instance, a Shanghai accounting firm improved its invoice processing from 800 invoices a day by 30 staff to 2000 invoices in 2 hours with AI [4][6]. - **Optimizing Operations and Supply Chain**: AI can reduce costs in both service and manufacturing sectors by managing inventory and logistics. A merchant in Yiwu saved on storage costs by using AI to predict demand based on weather data, reducing inventory from 300,000 to 180,000 umbrellas [7][8]. - **Enhancing Customer Service Efficiency**: AI can manage routine customer inquiries, allowing human staff to focus on complex issues. A hotel in Shenzhen reduced human customer service workload by 40% by implementing an AI system that handled common questions [9][10]. - **Streamlining Human Resources**: AI can expedite the hiring process, reducing the average time to hire from 28 days to 7 days and halving the turnover rate during the probation period [12][13]. Efficiency Enhancement Techniques - **Improving Decision-Making**: AI analyzes vast amounts of market data to provide actionable insights for production planning, helping businesses avoid stock shortages or overproduction [14][15]. - **Accelerating Innovation and R&D**: In sectors like pharmaceuticals, AI can significantly shorten research and development cycles by simulating molecular structures and predicting compound properties [16][17]. - **Boosting Marketing and Sales Efficiency**: AI enables targeted advertising by analyzing customer data, resulting in a threefold increase in conversion rates compared to traditional methods [18][20]. - **Enhancing Production and Manufacturing Efficiency**: AI visual systems can improve defect detection efficiency by 50 times, optimizing production parameters and scheduling based on real-time data [23][24]. Conclusion - The article concludes that the integration of AI into business processes is essential for companies to thrive in a competitive landscape, emphasizing the need for a strategic approach to AI implementation [25][26].
请收下,看了就会的8个AI降本增效技巧
混沌学园· 2025-07-30 12:04
Core Viewpoint - The article emphasizes the importance of utilizing AI in businesses to reduce costs and enhance efficiency, presenting eight practical techniques for entrepreneurs to implement AI effectively in their operations [2][36]. Cost Reduction Techniques - **Automating Repetitive Tasks**: AI can handle tasks such as data entry and invoice processing, significantly increasing efficiency. For instance, a Shanghai accounting firm improved its invoice processing from 800 to 2000 invoices in two hours using AI [6][7]. - **Optimizing Operations and Supply Chain**: AI can analyze historical data to optimize inventory and logistics. A merchant in Yiwu saved on storage costs by using AI to predict demand accurately, reducing umbrella stock from 300,000 to 180,000 units [10][11]. - **Enhancing Customer Service Efficiency**: AI can manage routine customer inquiries, allowing human staff to focus on complex issues. A hotel in Shenzhen reduced its customer service costs by 40% while improving response times through AI [12][13]. - **Optimizing Human Resources**: AI can streamline the hiring process, reducing the average hiring time from 28 days to 7 days and halving the turnover rate during the probation period [15][16]. Efficiency Enhancement Techniques - **Enhancing Decision-Making Capabilities**: AI analyzes vast amounts of market data to provide actionable insights for strategic decisions, transforming vague feelings into clear data [21][22]. - **Accelerating Innovation and R&D**: AI can significantly shorten the research and development cycle in industries like pharmaceuticals by simulating molecular structures and predicting compound properties [23][24]. - **Improving Marketing and Sales Efficiency**: AI enables targeted advertising by analyzing customer profiles, leading to a threefold increase in conversion rates while optimizing marketing spend [26][28]. - **Increasing Production and Manufacturing Efficiency**: AI visual systems can enhance defect detection and optimize production parameters, improving efficiency by at least 50 times [31][32]. Conclusion - The article concludes that the integration of AI into business processes is a gradual but essential journey, requiring a strategic approach to harness its full potential for cost reduction and efficiency enhancement [36][39].