突发，姚顺雨后，清华95后庞天宇加入腾讯，任混元「首席科学家」

Core Insights - Tencent has strengthened its AI capabilities by hiring Tianyu Pang, a top AI scholar from Tsinghua University, as the Principal Scientist for Multimodal Reinforcement Learning, following the recent recruitment of OpenAI's Yao Shunyu [1][2][11] Group 1: Talent Acquisition - Tianyu Pang, a 95-born scholar, has joined Tencent as the Chief Scientist, focusing on the development of Multimodal Reinforcement Learning [2][3] - Pang's academic background includes a PhD in AI from Tsinghua University and experience as a Senior Research Scientist at Sea AI Lab, where he published over 70 papers with more than 15,000 citations [8][10] Group 2: Strategic Implications - The recruitment of Pang and Yao signifies a shift in Tencent's AI strategy from a fragmented approach to a centralized offensive led by top scientists [11][12] - Tencent aims to enhance its AI capabilities in both content generation and environmental understanding, crucial for its gaming and robotics businesses [10][12] Group 3: Organizational Changes - Tencent has established new departments like AI Infra and elevated the status of core scientists, allowing them to report directly to the president, indicating a strategic restructuring to enhance decision-making and resource allocation [14][16] - The complementary research focuses of Pang and Yao—interaction and reasoning—are expected to drive significant advancements in Tencent's AI initiatives [13][14]