本文系观察者网独家稿件，未经授权，不得转载。 陈勉诺：没有人一开始就是高手，像Robomaster这样的大赛越多越好，且要让不同年龄段的人都能参与 进来。 ...

陈勉诺：机器人领域有很多问题还没有被有效解决，期待有针对这些问题的比赛，发挥参赛者的创造 力，为业界解决实际问题。 本文系观察者网独家稿件，未经授权，不得转载。 ...

冯临溪：RoboMaster比赛在高校评价体系中未受重视，有好处也有坏处。 本文系观察者网独家稿件，未经授权，不得转载。 ...

Group 1 - The core viewpoint of the article emphasizes that Robomaster is an event that requires multidisciplinary integration and emphasizes teamwork [1]

Core Viewpoint - The engineering mindset cultivated by Robomaster is unique and rarely taught in textbooks [1] Group 1 - Robomaster provides a platform for developing engineering skills [1] - The program emphasizes practical application of engineering concepts [1] - Participants gain hands-on experience that enhances their problem-solving abilities [1]

Core Viewpoint - The article emphasizes the belief in young engineers' potential to change the world, as observed in participants of the Robomaster competition [1]. Group 1 - The Robomaster competition showcases the innovative spirit and engineering skills of youth [1]. - Participants demonstrate a strong commitment to technology and engineering, reflecting a broader trend of youth engagement in STEM fields [1]. - The event serves as a platform for young engineers to showcase their talents and ideas, potentially leading to significant advancements in technology [1].

Core Viewpoint - The innovation brought by Robomaster is significantly integrated with the industry, providing substantial support for cultivating engineering composite talents [1] Group 1 - Robomaster creates an innovative environment that fosters the development of engineering skills [1] - The collaboration between Robomaster and the industry enhances practical training for students [1] - The initiative aims to address the demand for skilled engineering professionals in the market [1]

Core Insights - The article highlights the remarkable growth potential and creativity observed in participants of the Robomaster competition, suggesting that successful entrepreneurs often thrive outside conventional rules [1]. Group 1 - The Robomaster competition showcases participants with a strong ability to innovate and adapt, reflecting a "barbaric growth" mindset [1].

【文/观察者网 柳白】中国北斗卫星导航系统"朋友圈"不断扩大。在5月20日的外交部例行记者会上，发 言人毛宁强调，中国的北斗，也是世界的北斗。就在本月中旬，伊朗通信和信息技术部副部长埃赫桑· 奇特萨兹本对媒体透露，伊朗正在探索逐步将关键领域的定位系统从美国GPS迁移至北斗。 几十年来，西方，尤其是美国，一直主导着全球技术基础设施，从计算机操作系统、互联网，到电信和 卫星网络。然而，世界各国对它们的依赖很容易演变为脆弱性。 对伊朗和世界其他国家来说，西方平台不再被视为单纯的通信渠道，而是数字情报战的工具。 自2013年以来，西方国家通过技术手段实施非法监控或数据收集的行径屡屡被曝光，各国政府的焦虑与 日俱增。伊朗可能转向北斗的决定，也向其他还在权衡的国家发出了明确信号：盲目、天真地依赖美国 控制的基础设施的时代正在终结。 有分析人士指出，伊朗这一决定不仅是技术性选择，还反映了全球范围内对西方技术基础设施依赖的担 忧，表明盲目、天真地依赖美国控制的基础设施的时代正在终结。 据报道，美国和以色列的袭击让伊朗暴露了自身的脆弱点。在今年6月持续12天的以伊冲突中，伊朗以 及在波斯湾水域的舰船反复遭遇GPS信号干扰；伊朗 ...

Core Insights - The emergence of DeepSeek's large language model (LLM) has raised concerns in the U.S. regarding China's advancements in AI, particularly in intelligence and military applications [1][8] - The Biden administration is responding by accelerating AI experimentation within intelligence agencies and the Department of Defense, collaborating with leading AI firms like Anthropic, Google, and OpenAI [1][2] - The U.S. intelligence community is increasingly utilizing AI models, with significant contracts awarded to companies for developing "agentic" AI models capable of executing complex tasks [1][2] Group 1: U.S. Developments - The Pentagon awarded contracts up to $200 million to companies like Anthropic and Google for testing agentic AI models [1] - All U.S. intelligence agencies are now widely using AI models, with firms customizing models based on specific agency needs [2] - Despite advancements, the application of AI in national security is still not meeting expectations, with agencies struggling to adapt existing technologies effectively [4] Group 2: European Initiatives - The UK intelligence community is also integrating advanced LLM capabilities, with companies like Mistral leading efforts in Europe [3] - Mistral's Saba model is specifically trained for regional language processing, enhancing its utility in intelligence operations [3] - The Israeli military has significantly increased its use of OpenAI's GPT-4 model, indicating a growing reliance on advanced AI technologies in military contexts [3] Group 3: Challenges and Concerns - Experts express concerns about the reliability and transparency of AI models, emphasizing the need for consistency in intelligence applications [6][7] - The current focus on developing advanced agentic models may overlook the necessity for models that can perform causal reasoning and understand real-world logic [7] - There are warnings that China may be advancing faster in AI applications for military and intelligence purposes, potentially outpacing U.S. efforts [7][8]