突发，Meta刚从OpenAI挖走了清华校友宋飏

Core Insights - Meta has successfully recruited Song Yang, a key figure in diffusion models and an early contributor to DALL·E 2 technology, to lead research at Meta Superintelligence Labs (MSL) [1][12][29] - This recruitment signals a strategic shift for Meta, indicating a move towards a more collaborative team structure rather than relying solely on individual talent [12][13] Group 1: Team Dynamics - The combination of Song Yang and Shengjia Zhao represents a transition for MSL from a focus on individual excellence to a more coordinated team approach [12][13] - Both individuals share a strong academic background, having studied at Tsinghua University and Stanford, and have significant experience at OpenAI [13][14] - The team structure is becoming clearer, with defined roles that enhance research efficiency and collaboration [13][29] Group 2: Talent Acquisition Trends - Meta's recruitment pace has accelerated, with over 11 researchers from OpenAI, Google, and Anthropic joining MSL since summer [14][18] - There is a notable trend of talent movement among top AI labs, indicating that project alignment and team culture are becoming critical factors in employment decisions [14][18] - The departure of some researchers, such as Aurko Roy, highlights the competitive nature of talent retention in the AI sector [14][18] Group 3: Strategic Focus - Song Yang's research aligns closely with MSL's strategic direction, particularly in multi-modal reasoning and the development of general models that can process various data types [18][29] - His expertise in diffusion models is expected to enhance MSL's capabilities in generative AI, contributing to a more integrated research approach [18][28] - The ongoing evolution of AI projects necessitates a deeper understanding of cross-modal interactions and the integration of research into practical applications [29]