Meta Platforms(US:META) 36氪·2025-09-26 13:35Core Viewpoint - The recent hiring of Yang Song, a key figure in diffusion models and an early contributor to DALL·E 2, by Meta Superintelligence Labs (MSL) signals a strategic move in the AI competition, enhancing MSL's talent pool and research capabilities [2][3][11]. Group 1: Talent Acquisition and Team Structure - Yang Song's addition to MSL strengthens the "dual-core" structure of the team, with one leader managing overall strategy and the other focusing on critical paths in research [16]. - The team composition is becoming clearer, with a more structured division of research responsibilities [17]. - Since summer, over 11 researchers from OpenAI, Google, and Anthropic have joined MSL, indicating a high-frequency recruitment strategy [20]. Group 2: Industry Trends and Dynamics - The rapid turnover of talent among top AI labs is becoming more common, reflecting a shift towards project compatibility and team dynamics as key factors in employment decisions [25]. - The relationship between researchers and labs is evolving into a "mutual pursuit," where both parties seek alignment in goals and capabilities [47]. - The competition for AI talent is intensifying, with increasing demands on researchers to understand cross-modal capabilities and complete data workflows [48]. Group 3: Research Focus and Strategic Alignment - Yang Song's research on diffusion models aligns closely with MSL's strategic direction, aiming to develop universal models that can understand various data forms [28][30]. - The integration of Yang Song's expertise is expected to enhance MSL's ability to create a comprehensive AI product system, accelerating the formation of a complete technical loop from modeling to execution [32][41]. - Meta is not only attracting top talent but is also working to transform these capabilities into organizational and product-level resources [44].