Meta Platforms(US:META) Zheng Quan Shi Bao Wang·2025-08-20 11:50Core Viewpoint - Meta is undergoing significant restructuring of its AI department, reflecting its ambition and anxiety in the AI competition, with a shift from open-source to a more closed approach in AI model development [1][5][9] Group 1: Organizational Restructuring - On August 20, Meta announced a major restructuring of its AI department, splitting the newly formed Superintelligence Lab into four independent teams, marking a shift from a research-oriented to an engineering-focused strategy [2][4] - The four teams include TBD Lab, FAIR, PAR, and MSL Infra, each with distinct responsibilities aimed at accelerating the development of "superintelligence" [3][4] Group 2: Team Responsibilities - TBD Lab will focus on developing cutting-edge large models, including the next flagship Llama series, led by Alexandr Wang, who was recruited with a significant investment [3][4] - FAIR will continue foundational AI research but has seen its influence wane, with its leader, Yann LeCun, being sidelined in the restructuring [3][5] - PAR aims to quickly translate AI technology into consumer products, while MSL Infra will focus on the necessary computational and data infrastructure [4] Group 3: Internal Challenges - Despite aggressive talent acquisition, Meta faces severe internal turmoil, including high employee turnover and a toxic organizational culture characterized by internal conflicts and a fear-based performance evaluation system [6][7][8] - Meta's employee retention rate is reported at only 64%, the lowest among leading tech companies, indicating challenges in maintaining top talent [8] - The internal strife and lack of cohesive vision among teams hinder collaboration and innovation, posing significant risks to Meta's strategic goals in AI [9]