Core Viewpoint - The article emphasizes the significant advancements in AI models, particularly in the mobile sector, highlighting the transition from cloud-dependent models to personalized, on-device AI agents that understand individual user preferences and needs [1][2][5]. Group 1: Model Breakthroughs - Vivo has developed the world's first 3B model specifically designed for on-device AI agents, showcasing capabilities in multimodal understanding, reasoning, and long-text processing [2][5][7]. - The new 3B model allows for independent operation on mobile devices without relying on cloud resources, enhancing user experience and enabling real-time responses [5][7]. - This model can handle local files up to 128K in length, providing functionalities such as summarizing meeting recordings and drafting emails without needing an internet connection [7][8]. Group 2: Transition to Personalization - The shift from a "public service" AI model to a "personalized" AI model is highlighted, where the AI can learn and adapt to individual user habits and preferences [7][8]. - Vivo's AI can understand and execute tasks across different applications, evolving from a mere conversational agent to an active executor of user commands [8][10]. - The introduction of an on-device model training engine allows users to personalize their AI experience, making it more intuitive and tailored to individual needs [8][10]. Group 3: Ecosystem Development - Vivo aims to create an open ecosystem that connects various intelligent agents with users, facilitating a collaborative environment for AI development [10][11]. - The "Blue Heart Personal Intelligence Framework" is established to enhance user understanding through perception, memory, planning, and execution capabilities [11][13]. - Over 50 ecosystem partners have integrated with Vivo's open platform, providing over 200 services that enhance user experience across different applications [13][15]. Group 4: Strategic Insights - Vivo's strategy reflects a deep understanding of the rapid technological evolution, advocating for collaboration rather than isolated development [15]. - The focus on establishing industry standards and lowering development barriers aims to attract more partners, fostering a robust AI ecosystem [15]. - The ongoing upgrades to the Blue Heart model matrix and the personal intelligence framework signal a move towards a future where AI becomes a reliable companion that understands and adapts to users [15].

Core Viewpoint - The article emphasizes vivo's shift from a technology-centric approach to a user-centric approach in AI development, focusing on creating personalized and intuitive user experiences rather than merely competing on technical specifications [3][9][10]. Group 1: User-Centric AI Development - vivo's strategy is to redefine the value of personalized AI by prioritizing user understanding over technical parameters, aiming for AI that genuinely comprehends user needs [10][12]. - The ultimate goal of AI should be to enhance user experience in everyday situations, making technology seamlessly integrate into users' lives [4][13]. - vivo aims to cultivate a "digital partner" that understands users' preferences and habits, rather than creating an all-powerful AI [6][14]. Group 2: Technological Framework - vivo has introduced the "Blue Heart Personal Intelligence Framework," which serves as the core of its AI capabilities, integrating perception, memory, planning, and execution into a cohesive system [16][19]. - The framework allows for real-time awareness of user activities and preferences, enabling a more personalized interaction [18][20]. - vivo's AI model, with only 3 billion parameters, demonstrates that efficiency and user understanding are more critical than sheer computational power [24][26][28]. Group 3: Collaborative Ecosystem - vivo promotes an open ecosystem through the "Blue Heart Intelligent Open Platform," encouraging collaboration with over 50 partners to enhance AI services [29][33]. - The platform facilitates the integration of various services, allowing third-party applications to provide personalized experiences similar to native services [36][37]. - vivo's commitment to collaboration extends to academic partnerships, fostering innovation in AI through joint research initiatives [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].

Core Viewpoint - The article discusses the launch of OriginOS 6 by vivo, highlighting its comprehensive integration of AI features and the reconstruction of the underlying core of the Android operating system [1][2][40]. AI Features - OriginOS 6 introduces a fully updated AI functionality that can recognize important content on the screen and provide precise service recommendations [4][10]. - The system features AI capabilities such as Live Photo AI removal, which allows users to eliminate unwanted elements from dynamic images seamlessly [6][22]. - AI interaction has been upgraded with multi-modal capabilities, enabling the system to understand user intentions and provide relevant services based on context [10][12]. - AI can summarize documents and emails, generate relevant file names automatically, and even assist in making customer service calls by navigating through voice prompts [14][18][20]. AI Model Matrix - vivo has developed a comprehensive AI model matrix, including a language model that can understand user intent and perform complex tasks with long-term memory capabilities [27][28]. - The voice model has improved natural interaction, allowing commands without wake words and enhancing voice recognition capabilities [30]. - The visual model has been upgraded for better image consistency and aesthetics, addressing challenges in rendering long texts and providing advanced photo editing features [33][34]. Reconstruction of Android Core - OriginOS 6 employs self-developed technology to reconstruct the core of the Android system, focusing on three main areas: computing, storage, and display [40][41]. - The introduction of the Blue River Smooth Engine enhances task scheduling, improving application launch speed by 11% under heavy load scenarios [44][45]. - Storage management has been upgraded to prevent lag by creating dedicated channels for high-priority tasks, resulting in a data loading speed increase of over 2 times in heavy load situations [50][51]. - The display system has been enhanced with a dual rendering architecture, improving frame rate stability by 11% and rendering efficiency by 35% in demanding scenarios [54][55]. Performance Comparison - A performance comparison between an older device running OriginOS 6 and a new device with an older version of the OS showed significant improvements in touch response speed (63% faster), interface switching speed (35% faster), and frame rate stability (69% better) [57]. Launch Information - OriginOS 6 will debut on vivo's flagship models, the X300 and iQoo 15, with a public beta expected to roll out next month [59].