Core Viewpoint - The article emphasizes the practical application of generative AI, showcasing vivo's advancements in AI technology that enhance user experience and privacy through localized processing and personalized intelligence [6][30]. Group 1: AI Capabilities and Innovations - vivo introduced the "One Model" concept, a lightweight 3B end-side multimodal reasoning model that aims to provide a sustainable AI experience focused on user personalization rather than just parameter competition [8][9]. - The new AI capabilities include a 30 billion parameter model that can run smoothly on flagship mobile SoCs, achieving performance comparable to industry-leading 4B language models with a 60% reduction in parameters [9][11]. - The Blue Heart 3B model supports both language and multimodal tasks, allowing for complex reasoning to be performed locally on devices, thus enhancing efficiency and privacy [13][20]. Group 2: User Experience and Personalization - The integration of AI into the mobile operating system allows for a seamless user experience, where AI acts as a personal assistant capable of understanding and executing tasks without relying on cloud services [15][18]. - The AIOS framework is designed to mimic human cognitive processes, enabling real-time perception, memory, execution, and autonomous planning, which significantly improves task efficiency [20][21]. - vivo's approach to AI emphasizes the importance of personal data integration, creating a personalized AI experience that is both efficient and secure [18][30]. Group 3: Ecosystem and Collaboration - vivo aims to build an open ecosystem by collaborating with developers and partners, allowing for the rapid deployment of new AI capabilities and applications [23][26]. - The company has established partnerships to enhance its AI offerings, such as collaborating with Ant Group's AI health application AQ, which provides comprehensive medical services [28][29]. - vivo's vision includes equipping over 300 million devices with robust local AI capabilities within the next three to five years, indicating a strong commitment to advancing AI technology [31].

Core Viewpoint - The article emphasizes vivo's commitment to enhancing personalized user experiences through its 2025 Blue Heart Intelligent Strategy, focusing on the integration of AI and operating systems to create a more user-friendly environment [2][4][11]. Strategic Upgrade - The 2025 Blue Heart Intelligent Strategy aims to make AI more practical and user-friendly by personalizing its applications, addressing the gap between general AI capabilities and individual user needs [4][5]. - vivo's approach involves a multi-dimensional strategy to enhance AI's integration into daily life, ensuring that the technology serves users effectively [5][22]. Tactical Enhancements - vivo has upgraded its Blue Heart model matrix, improving language, voice, and image models to provide a more natural and engaging user experience [7][10]. - The Blue Heart 3B edge model, with 30 billion parameters, has achieved significant performance improvements while maintaining low power consumption and memory usage, setting it apart from competitors [8][10]. Personalization Framework - The Blue Heart personal intelligence framework is designed around four dimensions: perception, memory, planning, and execution, mirroring human cognitive processes to enhance user understanding [15][17]. - The framework enables AI to process information securely on-device, ensuring user data privacy while improving the accuracy of AI responses [16][18]. Ecosystem Collaboration - vivo collaborates with universities and developers to explore AI's potential, enhancing the Blue Heart model's capabilities through joint research and competitions [19][20]. - The Blue Heart Intelligent Open Platform has attracted over 50 ecosystem partners, facilitating the development of personalized services by lowering entry barriers for developers [22][24]. User-Centric Approach - vivo prioritizes user needs over technical complexity, focusing on practical applications of AI that address real-world challenges faced by users [25].