Core Insights - The article discusses the evolution of AI capabilities in smartphones, emphasizing the shift towards on-device AI processing and the integration of large models into mobile devices [1][2][3] Group 1: AI Model Integration - Smartphone manufacturers are focusing on enhancing on-device model capabilities, particularly after the introduction of DeepSeek, which significantly reduces model inference costs [1][3] - Vivo has integrated a 30 billion parameter on-device multimodal inference model, allowing AI tasks to be performed without cloud resources [2] - OPPO's AI strategy includes On-Device Compute, PersonaX memory engine, and Agent Matrix ecosystem, covering computation, perception, and ecosystem dimensions [2] Group 2: Market Trends and Developments - The AI market is experiencing changes, with the cost of large model inference decreasing and the range of AI applications expanding [1][3] - By 2024, only 20% of smartphones are expected to support Generative AI (GenAI), but this is projected to rise to 57% by 2029, indicating a growing trend towards high-end flagship smartphones incorporating GenAI features [6][7] Group 3: User-Centric AI Development - The integration of AI in smartphones is seen as a way to enhance user experience by understanding personal habits and preferences [5] - OPPO's AIOS aims to create synergy between various AI functions, enhancing user interaction across applications [4] Group 4: Challenges and Collaboration - Cross-application data interoperability and permission issues are significant challenges in the current landscape [6] - Collaboration between smartphone manufacturers and internet companies is emerging, as seen in OPPO's partnership with Alipay to create a multi-agent collaborative solution [6]