Core Viewpoint - The article discusses Tencent's significant upgrade in its AI model development framework, highlighted by the appointment of renowned AI scholar Vincesyao as Chief AI Scientist, indicating a strategic shift towards systematic engineering in AI model development [2][5]. Group 1: Key Personnel and Strategic Shift - Vincesyao, a former OpenAI scientist, joins Tencent to lead AI Infra and the large language model department, reporting directly to Tencent's president [2][5]. - His expertise in AI agents and large model reasoning is expected to enhance Tencent's capabilities in AI, aligning with the company's focus on systematic engineering and AI infrastructure [5][6]. Group 2: Structural Upgrades - Tencent has established three key departments: AI Infra, AI Data, and a data computing platform, to strengthen its large model development foundation [6][8]. - The AI Infra department will focus on distributed training and high-performance inference services, while the AI Data department will concentrate on data and evaluation systems [6][8]. Group 3: Competitive Landscape - The article emphasizes that AI competition is evolving beyond model parameters to a "system war" that integrates data, infrastructure, and algorithms [8]. - Tencent's internal AI efficiency transformation has led to the deployment of its mixed Yuan model in over 900 applications and scenarios [10]. Group 4: Achievements and Performance Metrics - Tencent's mixed Yuan model has released over 30 new models in the past year, with the latest mixed Yuan 2.0 leading in complex reasoning and text generation [13]. - The AI capabilities have been integrated into major products like WeChat and QQ, with 90% of Tencent engineers using the CodeBuddy AI code assistant, generating 50% of new code with AI assistance [13].