没PhD，算什么AI研究员，LeCun论文竟要28岁辍学生审批，发文“暗讽”内讧升级

Core Viewpoint - The internal conflict at Meta regarding AI research and leadership dynamics has intensified, particularly between Chief Scientist Yann LeCun and newly appointed Chief AI Officer Alexandr Wang, highlighting differing views on the role and standards of AI researchers versus engineers [1][3][15]. Group 1: Internal Dynamics - LeCun's recent post suggests a critique of Wang's qualifications and approach, emphasizing that true AI researchers should have a PhD, publish papers, and contribute to open-source projects [2][3][15]. - The restructuring of Meta's AI teams has led to concerns that Wang's TBD Lab will oversee and influence the research output of LeCun's FAIR, blurring the lines between engineering and research [13][23]. - LeCun's position at Meta appears precarious, as he must now report to the younger Wang and seek approval for his publications, which he views as a threat to the independence of FAIR [3][19][23]. Group 2: Academic Standards and Achievements - LeCun, a Turing Award winner and a prominent figure in AI, has a significant academic record with over 80 papers published since 2022 and a citation count exceeding 424,000, contrasting sharply with Wang's limited academic output [8][9][21]. - Wang, despite being a successful entrepreneur and the youngest self-made billionaire, lacks a PhD and has only a handful of publications with a citation count of 409, raising questions about his authority in a research-driven environment [6][7][8]. Group 3: Strategic Implications - The ongoing conflict reflects broader strategic challenges for Meta as it seeks to compete in the AGI space against companies like OpenAI and Google, prioritizing rapid product development over long-term academic research [19][23]. - LeCun's vision for AI research emphasizes the need for new paradigms rather than just scaling existing models, which contrasts with Wang's focus on immediate results and product implementation [17][19]. - The shifting priorities within Meta's AI strategy have led to concerns about the future of open research and the potential departure of key figures like LeCun, who may seek opportunities outside the company [23][24].