Core Insights - The core focus of the article is on the public debut of Xiaomi's MiMo model leader, Luo Fuli, who emphasizes the need for next-generation intelligent agents to transition from merely answering questions to completing tasks and interacting with the world [2][4]. Group 1: Luo Fuli's Background and Role - Luo Fuli, born in 1995 in Yibin, Sichuan, has a strong academic background in computer science and computational linguistics, having published eight papers at the ACL conference in 2019 [1]. - After working at Alibaba's Damo Academy and DeepSeek, Luo Fuli joined Xiaomi, reportedly at a salary of tens of millions, to lead large model research [1][2]. Group 2: Xiaomi's AI Developments - Xiaomi has been rapidly advancing its model releases throughout the year, including MiMo, MiMo-VL, MiMo-Audio, and Miloco, with the AIoT platform connecting over 1.04 billion devices globally by Q3 [2][5]. - The introduction of the MiMo-V2-Flash model, with 309 billion total parameters and 15 billion active parameters, aims to achieve low-cost, high-speed performance and initial world simulation capabilities [5][6]. Group 3: Focus on Physical AI - Luo Fuli's research direction at Xiaomi includes a strong interest in "Physical AI," which involves models that understand and interact with the real world through movement skills, as seen in robotics and autonomous vehicles [4][6]. - The MiMo-Embodied model aims to bridge the fields of autonomous driving and embodied intelligence, indicating a strategic focus on integrating AI into physical environments [4][5]. Group 4: Smart Home Ecosystem - Xiaomi's Miloco initiative seeks to transform smart home devices from passive responders to proactive service providers, enhancing user interaction through natural language processing and real-time visual data [6][11]. - The Miloco system aims to eliminate the need for complex manual settings by allowing users to express needs verbally, thus shifting from a fragmented app-based control to a more intuitive, user-intent-driven experience [7][12].
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