Core Insights - The article highlights the upcoming OceanBase Community Carnival, where 模力工场 will showcase its innovations and engage with the community through AI Coding and project sharing [2] - The event aims to foster collaboration and creativity in the AI and open-source space, inviting participants to connect with industry leaders and share ideas [2] Event Schedule - The event will feature a series of talks and discussions, including opening remarks by OceanBase CTO 杨传辉 and presentations on various topics related to AI and open-source ecosystems [5] - Notable sessions include discussions on building customizable AI agents and the evolution of AI technologies [5][6] Industry Trends - The article discusses the shift in AI applications from simple tools to intelligent agents capable of understanding environments and executing tasks autonomously, marking a significant evolution in AI hardware [20] - AI applications showcased include logistics robots and emotional companion robots, indicating a growing trend towards integrating AI into both industrial and consumer markets [20][21] Noteworthy Applications - Applications highlighted include OiiOii, an AI content generation tool that simplifies animation creation, and Walulu, an AI plush toy that offers emotional interaction and offline memory capabilities [16][18] - The advancements in AI hardware are seen as a response to both industrial efficiency needs and emotional companionship demands, reflecting a broader market trend [20][21]

Core Insights - The article highlights the transformation of Chinese automotive companies, particularly Great Wall Motors, from mere participants to key players in the global narrative of smart and localized automotive solutions at CES 2026 [2][3]. Group 1: Globalization and Market Strategy - Great Wall Motors aims to achieve over 500,000 units in overseas sales by 2025, reflecting its strategic global expansion [4]. - The company is adapting its smart driving and cabin ecosystem to local market conditions, recognizing the differences in network infrastructure, regulations, and user habits across regions [4][5]. - Great Wall is implementing a phased approach to introduce its technologies in various markets, prioritizing regions with better network conditions and open ecosystems [4][5]. Group 2: Technology and Product Development - The Coffee OS and Coffee Pilot systems serve as the foundation for Great Wall's unified system logic, which will be adapted for local markets [4]. - Great Wall is developing Coffee G, an overseas version of its Coffee OS, to enhance user interaction and ecosystem integration [6]. - The company is focusing on creating a high degree of interaction and ecosystem compatibility, particularly in regions where existing solutions like CarPlay and Android Auto fall short [6][7]. Group 3: Research and Development - Great Wall has established local R&D teams in various regions to address market-specific needs, including regulatory compliance and rapid response to user demands [9]. - The company is also setting up advanced technology R&D centers in regions like North America and Europe to attract top talent and enhance its technological capabilities [9][10]. Group 4: Market Entry and Consumer Engagement - Great Wall is actively preparing to enter the Middle East market by December 2025, with plans for EU market entry by April 2026 [34]. - The company recognizes the cultural and brand recognition challenges in mature markets like the U.S., where established brands dominate [35]. - Great Wall aims to leverage feedback from potential users in the U.S. to optimize its products and strategies for future market opportunities [14]. Group 5: Smart Driving and User Experience - The company is advancing its smart driving capabilities with a focus on user experience, aiming to transition from traditional interaction models to proactive service models [21][22]. - Great Wall's ASL 2.0 intelligent system is designed to enhance user interaction by understanding user intent and providing seamless assistance [22][32]. - The company plans to launch its first mass-produced vehicle equipped with the ASL 1.0 system in mid-2026, marking a significant step in its smart driving strategy [24][32].

Core Viewpoint - The article discusses the transformative impact of Huawei's HarmonyOS 6 and its integration of AI capabilities, particularly through Agent to Agent (A2A) collaboration, which redefines mobile application interactions and enhances user experience [7][9][39]. Group 1: AI Integration and User Experience - The Mate X7, powered by HarmonyOS 6, showcases the first commercial implementation of A2A collaboration, allowing applications to work together seamlessly [3][5]. - Users can now interact with their devices using natural language, enabling a more intuitive and efficient way to access services without navigating through multiple apps [10][18]. - The A2A protocol allows previously isolated applications to function as a cohesive "smart service team," enhancing the overall efficiency of task completion [21][24]. Group 2: Technical Framework and Development - HarmonyOS 6 introduces a new technical framework that allows for deep integration of AI with hardware, facilitating standardized interactions between different smart agents [25][26]. - The Intents Kit and unified communication protocols are foundational to the A2A collaboration mechanism, enabling precise interpretation of user commands and efficient service delivery [27][28]. - The HMAF framework simplifies the development process for creating intelligent agents, allowing existing applications to evolve without complete redesign [31][32]. Group 3: Market Implications and Strategic Opportunities - The shift from "user finding applications" to "services finding users" represents a significant evolution in the mobile internet landscape, driven by user demand for efficiency [39][40]. - The growing number of HarmonyOS devices, exceeding 27 million, indicates a rapid adoption of this new interaction paradigm, positioning Huawei to capture a significant market share [42][44]. - Huawei's "Tiangong Plan," with an investment of 1 billion RMB, aims to support the development of AI-native services and frameworks, fostering innovation within the ecosystem [45][46].