Meta大裁员，华人大佬田渊栋被裁了？！Alexandr Wang “嫡系”部门还在重金招聘

Core Insights - Meta is laying off approximately 600 positions from its AI department, specifically within the "Superintelligence Lab" [2][3] - The layoffs aim to streamline operations and reduce bureaucracy, allowing for more efficient decision-making and greater individual responsibility [3][18] - The restructuring follows a series of internal changes and dissatisfaction with the performance of the AI teams, particularly regarding the development of large models like Llama 4 [11][12] Summary by Sections Layoffs and Restructuring - Meta is cutting around 600 jobs in its AI division, affecting teams such as FAIR and product-related AI groups, while the newly established TBD Lab continues to hire [2][3] - The layoffs are part of a broader strategy to create a more agile and talent-dense team structure, as stated by Meta's Chief AI Officer Alexandr Wang [3][16] Internal Dynamics and Reactions - Employees affected by the layoffs have been encouraged to apply for other positions within Meta, with expectations that many will find new roles [3][18] - The layoffs have sparked discussions about internal politics and the effectiveness of the current leadership, with some employees expressing skepticism about the reasons given for the cuts [19][21] Development Projects and Future Plans - The Superintelligence Lab has been divided into four sub-departments, focusing on various aspects of AI research and product development, including the management of the latest large model projects [10][17] - Meta's CEO Mark Zuckerberg has been actively involved in AI recruitment and project oversight, aiming to build a team focused on achieving artificial general intelligence (AGI) [11][13] Financial and Strategic Moves - Meta plans to invest significantly in AI, including a $14.3 billion investment in Scale AI, while also exploring various acquisition opportunities to bolster its AI capabilities [12][13] - The company has been aggressively recruiting talent from competitors, leading to a rapid expansion of its AI teams, which has also resulted in internal friction and turnover [15]