腾讯AI，大消息！

Core Viewpoint - Tencent is accelerating its AI strategy by upgrading its large model research framework, establishing new departments to enhance its core capabilities in AI model development [1][5]. Group 1: Tencent's AI Strategy - Tencent has established the AI Infra Department, AI Data Department, and Data Computing Platform Department to strengthen its large model research system and core capabilities [1]. - Vinces Yao, a prominent AI talent and former OpenAI researcher, has been appointed as the Chief AI Scientist, overseeing multiple departments and reporting directly to Tencent's president [1][3]. - The AI Infra Department will focus on building technical capabilities for large model training and inference, while the AI Data Department will handle data and evaluation system construction [6]. Group 2: Vinces Yao's Contributions - Vinces Yao, at 27 years old, is recognized as a leading talent in the AI field, having graduated from Tsinghua University and Princeton University, and was a core member at OpenAI [3]. - Yao's "AI Second Half" theory emphasizes the shift from model training to defining real-world problems and optimizing user interaction, highlighting the importance of evaluation over training [4]. Group 3: Recent Developments in AI Models - Over the past year, Tencent has released more than 30 new models, with the latest version, Mix Yuan 2.0, showing significant improvements in pre-training data and reinforcement learning strategies [7]. - Tencent's AI capabilities have been integrated into popular products like WeChat and QQ, enhancing user experience without altering existing habits [7]. - Internally, Tencent has implemented AI across over 900 applications, with more than 90% of engineers using AI tools, indicating a strong push towards AI-driven efficiency [7].