以下文章来源于字母榜 ，作者薛亚萍 字母榜 . 让未来不止于大 第一个完美闭环的大主播。 作者： 薛亚萍 来源： 字母榜 和西贝一战，不少人感叹：老罗回来了。 数月前，梁文锋得知罗永浩准备做AIOS（人工智能操作系统）时，他问罗永浩，"你为什么非 要做科技？"在梁文锋看来，一个人如果能在任何领域做到全国前几名，就不应该辜负这份天 分。而罗永浩，正是他眼中那个"最该靠嘴吃饭"的人。 对于罗永浩来说，这是漂亮的一战，设置议题，顺应民意。谁还记得，一个月前，他因脱口秀 节目，连发数十条微博和网友对骂，寸步不让。如今，罗永浩人设反转，他说支持自己的人有 90%，俨然成了舆论场里的正义化身。 无论外界如何看待，流量已经涌入到他最熟悉的战场：直播间。 罗永浩有些沮丧，但梁文锋的话，他听进去了。罗永浩坦言自己思考了这个问题，但还是不能 远离科技圈。 于是，几个月后，各大平台悄然出现一档播客：《罗永浩的十字路口》。罗永浩多了一个新身 份：播客对话者。 按照计划，罗永浩每周对话一位科技领袖或创业者等。在访谈中，罗永浩主动设置议题，相应 地产生舆论话题。比如首期对话李想，"李想哽咽感谢美团王兴"的话题就刷榜社交平台。 "靠嘴吃饭 ...

Group 1 - The 2025 World Artificial Intelligence Conference (WAIC 2025) was held in Shanghai, featuring over 1,200 prominent guests, including 12 international award winners and more than 80 academicians [2] - RT-Thread showcased its AIOS concept, which integrates AI with operating systems to enhance development efficiency and deployment feasibility for edge devices [3][4] - The "Ruiqing Industrial Development Platform" launched by RT-Thread offers a comprehensive solution that integrates data collection, communication, control, AI, and display functionalities, improving development efficiency by 70% [3][4] Group 2 - RT-Thread's AIOS framework connects AI applications with hardware resources, reducing integration complexity and resource costs for AI models on various terminal devices [3][4] - The platform achieves microsecond-level real-time response capabilities, meeting the stringent demands of high-end manufacturing [4] - RT-Thread has installed over 2.5 billion devices, facilitating the integration of AI into edge devices and supporting local intelligence or efficient cloud collaboration [4][6] Group 3 - RT-Thread has established itself as a leading embedded operating system with 100% original core code, meeting the requirements for "self-controllable" operating systems in critical industries [5] - The company operates the largest embedded operating system developer community in China, attracting nearly 300,000 global developers [5] - RT-Thread's products and services are widely applied in key industries such as energy, industrial automation, and automotive electronics, serving nearly 10,000 clients [6][8] Group 4 - The evolution from "AI+OS" to "AIOS" emphasizes the critical role of operating systems in facilitating AI technology deployment as the global scale of intelligent terminals approaches one trillion [7] - RT-Thread has built a complete industrial ecosystem, including IP, chips, middleware, and terminal manufacturers, enhancing its competitive edge in high-tech fields [7] - The company aims to empower edge devices and promote deep integration of AI with high-end industries, collaborating with global developers to drive the intelligent era [7][8]

Core Viewpoint - The article discusses the evolution of AI assistants and their potential impact on daily life by 2049, emphasizing the transition from smartphones to smart glasses and the emergence of a "mirror world" where virtual and real experiences blend seamlessly [2][18]. Group 1: AI Assistants - AI assistants are expected to evolve from specialized tools to general-purpose assistants, similar to how Swiss Army knives emerged from single-use tools [7]. - In the next five years, practical AI assistants will likely appear, initially as retail assistants on e-commerce platforms, eventually evolving into comprehensive personal assistants [7][12]. - The future AI assistants will be interconnected through APIs, leading to a B2B (bot to bot) era where they can collaborate without human intervention [11][12]. Group 2: Smart Glasses - By 2049, most smartphones are predicted to be replaced by smart glasses, which will facilitate more natural human-machine interactions [8]. - Smart glasses will enable users to interact with the virtual world using gestures, voice commands, and eye movements, marking a significant shift from traditional input methods [8][9]. - The development of transparent and image-displaying smart glasses is crucial for realizing this future, as current technology is not yet fully mature [8]. Group 3: Mirror World - The "mirror world" concept refers to a reality where digital information overlays the physical environment, enhancing user experiences through augmented reality (AR) [15][18]. - Smart glasses will collect vast amounts of personal data, allowing for tailored experiences and interactions in the mirror world [16][17]. - The mirror world is anticipated to become the next generation of the internet, providing immersive experiences that reduce reliance on traditional screens [18][19].

Core Viewpoint - Xiaomi has achieved a significant milestone by starting mass production of its self-developed 3nm flagship chip, the "Xuanjie O1," positioning itself as the fourth global company to release a self-developed 3nm mobile processor after Apple, Qualcomm, and MediaTek [4][10]. Group 1: Chip Development Journey - The development of the "Xuanjie O1" chip has been a decade-long journey for Xiaomi, with cumulative R&D investment exceeding 13.5 billion RMB as of April 2023 [5][7]. - Xiaomi's chip development began in 2014 with the establishment of Beijing Pinecone Electronics, leading to the release of its first self-developed chip, the Surge S1, in 2017 [6][8]. - After initial setbacks, Xiaomi shifted focus from SoC chips to other types of chips, eventually restarting SoC chip development in 2021 [6][9]. Group 2: Investment and Future Plans - Xiaomi plans to invest over 60 billion RMB in R&D this year, with a total investment exceeding 100 billion RMB from 2022 to 2026, focusing on AI, OS, and chip technologies [7][10]. - The company has invested in 110 semiconductor and electronics-related firms since 2017, covering various fields including optical chips and automotive chips [9]. Group 3: Market Position and Challenges - The successful mass production of the "Xuanjie O1" chip is expected to intensify competition in the mobile industry, challenging not only Qualcomm and MediaTek but also the limits of Moore's Law [11]. - Xiaomi's CEO has emphasized the necessity of substantial sales volume to support the high R&D costs associated with chip development, indicating ongoing challenges in achieving market penetration [10].

Group 1 - The topic of new energy vehicle license plates has become a hot discussion at the Two Sessions, with suggestions for optimization from industry leaders like Lei Jun [2][4] - Lei Jun proposed three suggestions for improving the design of new energy vehicle license plates, including restarting research on plate styles and expanding intelligent features [2] - The recent promotion efforts by Tencent's Yuanbao have seen an investment of nearly 300 million yuan in just half a month, significantly boosting user engagement [5][6] Group 2 - Ideal Auto's executives commented on the design of license plates, suggesting that the main issue is the lack of aesthetic appeal rather than just color [4] - Stone Technology reported a total revenue of 11.927 billion yuan for 2024, marking a 37.82% increase year-on-year, driven by both domestic and international market growth [9][10] - The company has adopted aggressive marketing strategies in overseas markets, including partnerships with high-profile endorsements [10][11] Group 3 - Mercedes-Benz China is undergoing significant restructuring, including layoffs and a focus on improving operational efficiency in response to new competition in the automotive sector [8][9] - Xiaomi's pricing strategy for the Xiaomi 15 Ultra has sparked discussions, with the device priced higher than Apple's iPhone 16 Pro Max, reflecting confidence in its technology [12][13] - OpenAI's CEO announced that the release of GPT-4.5 will be phased due to GPU shortages, highlighting the challenges in scaling AI models [22][23] Group 4 - BYD announced a significant H-share placement to raise approximately 43.5 billion HKD, marking the largest equity refinancing in the automotive industry in a decade [16] - Didi's autonomous driving division is reportedly seeking financing at a valuation of 5 billion USD, indicating ongoing investment in autonomous technology [17] - Nvidia's stock has seen a significant drop, with a market value loss exceeding 260 billion USD, reflecting broader market trends affecting tech stocks [25]