前小米 OS 高管创业：你的下一部「手机」未必是手机

Core Viewpoint - The future of AI hardware will not simply be existing hardware enhanced with AI, but will require a new ecosystem of hardware operating systems that effectively organize input and output in a multi-modal and demand-driven manner [2][3][4]. Group 1: Evolution of AI Hardware - The interaction and system architecture in the AI era will evolve significantly, with wearable devices potentially leading the transformation in AI interaction [4][21]. - The founder of Guangfan Technology, Dong Hongguang, emphasizes the importance of a unified AI brain coordinating multiple devices for seamless interaction [4][31]. - The company has rapidly gained attention in the industry, securing 130 million RMB in funding within three months of its establishment [4]. Group 2: Historical Context and Future Trends - Historical shifts in personal computing have been driven by technological advancements that reshape interaction methods, leading to new hardware and software forms [14][15]. - The transition from command-line interfaces to graphical user interfaces and then to touch interactions has significantly broadened user access to computing devices [14][16]. - The introduction of AI will further transform interaction from command-based to demand-based, allowing for a more intuitive user experience [18][19]. Group 3: The Role of Devices in AI Interaction - Future devices will need to support multi-modal interactions, moving away from traditional graphical interfaces to more natural forms of communication, such as voice and visual inputs [19][20]. - Wearable devices are expected to play a crucial role in this transition, as they can provide continuous interaction and context awareness [21][40]. - The shift towards a distributed device structure, where multiple devices work together under a central AI brain, will redefine the concept of personal computing [29][31]. Group 4: Challenges and Opportunities in AI Hardware - The complexity of developing general-purpose AI hardware is increasing, as it must integrate various sensors and support a wide range of applications [45][47]. - The industry is witnessing a proliferation of AI hardware, but the long-term value will lie in devices that can serve multiple functions rather than specialized ones [45][46]. - Privacy concerns will need to be addressed as AI systems require extensive user data to function effectively, necessitating advancements in data protection technologies [48]. Group 5: Future of Operating Systems in AI - The next generation of operating systems will need to accommodate multi-modal interactions and data fusion, moving beyond traditional graphical interfaces [49]. - Companies like Guangfan Technology are positioning themselves to build a new software ecosystem that supports the complex demands of AI interactions [49].