Core Insights - vivo aims to redefine the integration of AI and smartphones by focusing on personal intelligence rather than general artificial intelligence [4][10] - The company is shifting its strategy from cloud-based large models to edge models, emphasizing real-time performance, privacy, and personalization [4][5] AI Strategy Transition - Starting in 2024, vivo will prioritize the development and implementation of edge models, moving away from cloud-based large models [4] - The 3B edge model, set to launch in 2025, will have a memory usage of 2GB and outperform previous models in various assessments [4] - The transition to edge models is driven by considerations of practicality, device compatibility, and user experience [4][5] AI Research and Development - vivo established its AI research institute in 2017, focusing on operator optimization and building a team of experts to facilitate the efficient migration of large models to edge devices [5] - The company plans to implement 18 edge AI features in 2024, including voice recognition, image recognition, and text generation, which will function without internet connectivity [5] Intelligent Agent Ecosystem - vivo is addressing challenges in the deployment of intelligent agents, such as cross-application permissions and the lack of industry standards [6] - The company is collaborating with leading internet firms to launch a series of Agent features aimed at meeting genuine user needs [6][8] - vivo's approach to AI integration emphasizes a seamless user experience, embedding AI capabilities into existing workflows without requiring additional user actions [8] Cross-Platform Collaboration - vivo has introduced features for interoperability with Apple systems, catering to users who utilize multiple devices [10] - The company is open to collaboration with Apple to enhance user experience but will adjust its services based on Apple's willingness to cooperate [10] - vivo's vision for the future of AI in smartphones revolves around understanding user needs and enhancing the effectiveness of the intelligent agent ecosystem through personalized features [10]