经济趋势的"时空折叠"洞察 Velos Markets的研究团队擅长在时间轴上折叠经济周期。他们将宏观经济数据解构为三层时序模型：基础层追踪非农就业、CPI等传统指标的即时波动；中 间层捕捉产业链迁移、能源转型等中期趋势；顶层则预判量子计算、太空经济等颠覆性技术的长期价值。这种多维分析框架在2024年美联储政策转向期间展 现威力——当市场聚焦短期利率变化时，平台已通过制造业回流数据推演出美元指数的三年趋势线，帮助投资者提前布局东南亚货币对冲策略。 在全球金融市场的复杂博弈中，Velos Markets（威马证券）如同一台精密运转的雷达，以其独特的市场策略穿透迷雾，为投资者捕捉价值信号。这家国际性 交易平台的成功，不仅源于其多元化的产品布局，更在于将技术工具与人文洞察融合为一把"双刃剑"，既斩断信息不对称的枷锁，又开辟出风险可控的收益 路径。 市场分析的"全息投影"策略 传统金融机构往往以单一资产类别为分析单元，而Velos Markets构建的"跨资产联动模型"犹如金融市场的全息投影。通过整合外汇、加密货币、股票指数等 12大类资产数据流，平台能实时解析黄金价格波动与美元指数、地缘政治事件的隐性关联，甚至捕捉 ...

Core Viewpoint - The release of the Model Context Protocol (MCP) service by Liou Digital marks a significant advancement for the "AI Pitcher" series, enhancing its capabilities in advertising campaign management and data analysis, thus evolving the "dual pitcher paradigm" into a new phase [1][3][22]. Group 1: MCP Service Introduction - The MCP service is an open standard introduced by Anthropic in 2024, designed to standardize interactions between AI models and external data sources or tools [3]. - The MCP service acts as a "universal toolbox" for the Liou AI Pitcher, enabling it to autonomously navigate various digital environments for advertising, data monitoring, and material management without human intervention [3][18]. Group 2: Upgrade of the Dual Pitcher Paradigm - Prior to the MCP service, the Liou AI Pitcher functioned primarily as a "helper" to human pitchers, lacking deep collaborative capabilities [5]. - With the introduction of the MCP service, the AI Pitcher can now perform complex tasks such as data collection, analysis, and report generation independently, significantly enhancing operational efficiency [5][15]. Group 3: Core Components of MCP - The MCP service comprises three core systems: identity authentication and security, programmatic advertising operations and data analysis interfaces, and internal system integration interfaces [18]. - The identity authentication system ensures secure access for the AI Pitcher, allowing it to operate within defined permissions and measure its output effectively [19]. - The programmatic advertising operations interface provides a comprehensive set of tools for managing advertising campaigns, budget control, and performance analysis, enabling real-time monitoring and automated optimization [20]. - The internal integration interface allows the AI Pitcher to interact with various internal systems, streamlining processes such as budget requests without manual input from human pitchers [21]. Group 4: Future Implications - The evolution of the Liou AI Pitcher and the introduction of the MCP service signify a rethinking of the human-AI relationship in marketing, paving the way for more AI employees to participate in advertising tasks [22]. - The successful integration of AI Pitchers into the marketing ecosystem represents a step towards achieving a truly collaborative "human-machine symbiosis" in the industry [22].

近日，教育部全国人工智能校长局长专题培训班在北京举办，深圳市福田区委教育工委书记，区教育局 党组书记、局长王巍参与此次培训并做专题报告，介绍福田区全域推进教育人工智能经验举措，并从政 策、生态等五个维度系统谋划人工智能赋能育人方式变革路径，为构建人工智能时代更加公平、更有温 度、更加个性、更高质量的教育新生态提供"福田示范"。本次培训吸引了全国约25万名教育管理者参 与。 在基层创新方面，福田区启动教育AI"十百千"工程，目前全区已经形成了应用项目校29所，应用场景 116个及应用案例385个，其中应用案例覆盖超过50%学校；同时，教研员带领骨干教师编制《AI可以这 样用》电子书，让教师成为学习设计师；通过AI设计发布"游戏化数学"特色成果、开展"超 AI 数学 日"等活动，激发学生学习兴趣。 理念先行，重构教育新范式 面对人工智能技术浪潮，福田区提出"人机共生"教育理念，推动教育形态从传统师生二元结构转向教 师、学生与智能技术的三元协同。王巍强调，人工智能时代的教育应聚焦"培养机器无法取代的创新人 才"，培养学生的创造力、想象力、终身学习力、爱的能力、价值观，构建以人为本的创新教育新生 态。福田区打破传统应 ...

Group 1 - The emergence of AI communication capabilities raises concerns about unregulated autonomous decision-making, complicating regulatory efforts [2] - Experts emphasize the need to balance efficiency and risk, as prioritizing speed can lead to significant risks that may escalate quickly [2] - The video of two AIs communicating has garnered over 40 million views, reflecting public anxiety about AI's potential impact on society [1] Group 2 - Some experts advocate for a more open perspective on AI, suggesting that historical technological advancements have ultimately benefited society despite initial fears [3][4] - The relationship between humans and AI is viewed as an opportunity for collaboration, with AI seen as a powerful assistant rather than a threat [4] - A broader temporal perspective can help mitigate current anxieties about AI, as historical patterns often reveal underlying trends that are not immediately apparent [4]