Group 1 - Tencent announced an upgrade to its large model research architecture, establishing new departments: AI Infra, AI Data, and Data Computing Platform, to enhance its large model research capabilities and core competencies [1][2] - Vinces Yao has been appointed as the Chief AI Scientist, overseeing the AI Infra and Large Language Model departments, reporting to Tencent's President Liu Chih-Ping [1][2] - The AI Infra department will focus on building technical capabilities for large model training and inference platforms, while the AI Data and Data Computing Platform departments will handle data and evaluation systems, as well as data intelligence integration [2] Group 2 - Tencent's flagship model, TurboS, is the first large-scale MoE model based on a hybrid linear attention mechanism, with a rapid iteration pace of one version per month since its launch [3] - Other major companies are also making significant moves in AI, such as ByteDance's launch of the Doubao phone and Alibaba's establishment of the Qianwen C-end business group, aiming to create a super app for AI users [3][4] - The competition in the AI application layer is shifting towards building sustainable competitive advantages around specific use cases and industry workflows, which are seen as valuable and difficult to replicate by independent third-party vendors [4]