Core Insights - The article highlights the significance of AI technology in driving industrial upgrades, emphasizing the shift from hardware performance to intelligent decision-making as the core focus of terminal devices [3][4]. Group 1: AI Industry Trends - The AI industry is transitioning from "model innovation" to "entity empowerment," with a focus on integrating AI into the physical world to create tangible value [1][3]. - The emergence of terminal-driven enterprises is facilitating the shift from high performance metrics to practical and effective AI applications [3]. Group 2: Technological Framework - Lianhui Technology has developed a three-tier technical system of "model-platform-scenario" to bridge the gap in AI implementation [3]. - The company’s self-developed multimodal large model provides cross-modal semantic understanding and decision-making capabilities, gaining significant attention in the industry [3]. Group 3: Future Development Path - The current phase of "ubiquitous intelligence" aims to equip numerous terminals with human-level perception and task closure capabilities [4]. - Future stages include "collective intelligence collaboration" and eventually the emergence of "terminal AGI," which will enable intelligent agents to construct a "world model" for autonomous reasoning and decision-making [4]. Group 4: Youth Empowerment in AI - Young talents like Zhao Tiancheng are becoming pivotal in the AI industry, driving the transition of AI technology from virtual to physical applications [5]. - The focus on technological innovation and real-world needs by this new generation is expected to inject lasting momentum into the industrialization of AI [5].

Group 1 - The emergence and rapid iteration of generative AI technologies are accelerating the integration of AI into daily life, while 5G technology is advancing towards the 5G-Advanced phase, providing faster transmission rates and lower latency, which supports digital transformation across various industries [1] - Qualcomm's Vice President, Li Jing, highlighted at the 2025 China Mobile Global Partner Conference that AI is creating epoch-making development opportunities, enhancing value beyond user experience, and accelerating implementation across industries [1][3] - The synergy between AI and connectivity technologies like 5G and 5G-A is expected to inject growth momentum into smart terminal innovation, as 5G-A offers low latency and high reliability, providing a solid foundation for AI applications [1] Group 2 - Qualcomm is focused on wireless communication and mobile computing technologies, continuously advancing 3G, 4G, 5G, and AI, while diversifying its business and expanding cooperation with Chinese industries [3] - At the conference, Qualcomm showcased flagship smartphones powered by the latest Snapdragon 8 Gen 2 platform, demonstrating strong AI capabilities that enable personalized smart experiences across applications [3] - Qualcomm has initiated the "AI Acceleration Program" with major Chinese partners to expand AI capabilities across more devices and explore various AI application scenarios, promoting large-scale implementation of intelligent technologies [5]

Core Insights - The future of "smart terminals" is being reimagined with the introduction of AIPC (Artificial Intelligence Personal Computer), which can perform tasks while in sleep mode and support complex reasoning locally without relying on cloud computing [1][2][5] Group 1: AIPC and Its Innovations - AIPC is evolving from a simple office tool to a "mobile productivity center," addressing two main pain points: reliance on cloud computing and limited local hardware resources [2] - The "small box" solution, termed "limitless terminal intelligence," aims to maximize the potential of limited terminal resources through software and hardware collaboration [2][5] - The AIPC can release over 1,000 hours of productivity annually by executing background tasks during idle CPU periods, thanks to the Infini-Megrez2.0 model, which achieves cloud-level intelligence with significantly reduced memory and computational requirements [5][7] Group 2: Technological Advancements - The Infini-Megrez2.0 model enables "unperceived operation," transforming AIPC from a mere tool to an intelligent assistant that can autonomously handle tasks during sleep periods [7] - The Infini-Mizar 2.0 inference engine enhances the speed and efficiency of large model operations, increasing the local model size limit from 7B to 30B, while improving intelligence levels by 18% and doubling inference performance [8] - The combination of Mizar2.0 and Megrez2.0 allows for significant advancements in terminal intelligence applications, pushing the boundaries of what is possible in edge AI [8] Group 3: Partnerships and Future Goals - The company is collaborating with Lenovo, H3C, and other partners to turn innovations into accessible products, including an integrated large model machine and FPGA-based inference systems [9][11] - The ultimate goal is to create next-generation smart terminals that serve a wide range of applications, making AGI accessible to everyone [11]