Meta Restructures Artificial Intelligence Division Amid Internal Tensions in 2025
Meta Restructures Artificial Intelligence Division Amid Internal Tensions
According to The New York Times, Meta has carried out another major restructuring of its artificial intelligence division, reflecting Mark Zuckerberg’s determination to secure a stronger position in the A.I. race. The Behemoth internally announced that its A.I. division, known as Meta Superintelligence Labs, will now be split into four distinct groups focusing on research, superintelligence, products, and infrastructure such as data centers and specialized hardware. People familiar with the matter said this is likely to be the final restructuring for some time, intended to help them reach its superintelligence goal and release A.I. products more quickly.
Executives noted that some leadership figures may depart as part of the shake-up, while it is is also considering downsizing the broader A.I. division, which has expanded to thousands of staff. Although discussions remain fluid, options include eliminating roles or moving employees elsewhere in the company. A company spokeswoman declined to comment, and The New York Times noted that some details were previously reported by The Information.
In a shift from relying exclusively on in-house systems, Meta is also exploring integration of third-party A.I. models. This could involve building upon open-source models available to the public or licensing closed-source models from other companies. The New York Times highlighted that this signals a potential departure from Meta’s historical emphasis on open sourcing its technology.
The overhaul follows months of turbulence around Meta’s A.I. strategy. Zuckerberg has shown he is prepared to spare no expense to remain competitive. Recently, Meta announced the creation of a new superintelligence lab, committed to developing A.I. systems more powerful than the human brain. The company invested $14.3 billion in Scale AI and appointed its chief executive, Alexandr Wang, as chief A.I. officer, while also offering nine-figure compensation packages to attract top researchers away from rivals such as OpenAI and Google.
Zuckerberg publicly emphasized his belief that superintelligence could usher in “a new era of individual empowerment,” and company filings indicated that capital expenditures could reach $72 billion this year, most of it dedicated to new data centers and hiring A.I. researchers. Reports also stated that Meta’s previous frontier model known as Behemoth was abandoned after disappointing performance tests last spring, with Wang’s new team starting from scratch on a closed frontier model, a major departure from the company’s open-source philosophy.
The New York Times reported that internal tensions have surfaced around the integration of new hires. Alexandr Wang’s team has prioritized work on this next-generation model, and since his appointment, longtime researchers have voiced concerns. Shengjia Zhao, an OpenAI researcher and co-creator of ChatGPT, was named chief A.I. scientist, and in recent weeks, a line of Meta’s older A.I. staff waited outside his office as Zhao personally interviewed them about past work for new roles. Nat Friedman, the former GitHub chief executive, and Daniel Gross, who previously led Safe Superintelligence, were also brought on to lead applied A.I. features.
Personnel changes have been significant. Joelle Pineau, a leading computer scientist at Meta, left to join Cohere. Angela Fan, who worked on the open-source Llama model, moved to OpenAI. Loredana Crisan, a vice president of generative A.I., left to become chief design officer at Figma. At the same time, veteran figures remain. Rob Fergus, who co-founded Meta’s A.I. research unit in 2014, continues as head of the Fundamental AI Research lab, known as FAIR, which advances open-source A.I. work. Ahmad Al-Dahle and Amir Frenkel are reporting to Wang, driving strategic A.I. initiatives under the new structure.
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Meta AI is the artificial intelligence research and product division of Meta Platforms, advancing frontier models, generative A.I., and open-source projects like Llama while driving innovation in areas such as computer vision, natural language, and superintelligence development. Reality Labs is Meta’s immersive technology arm, building virtual reality, augmented reality, and mixed reality hardware and software, including Oculus headsets, Ray-Ban Meta smart glasses, and the Horizon platform. Together, Meta AI and Reality Labs form the core of Meta’s strategy to integrate advanced A.I. with immersive computing, shaping the company’s long-term vision of the metaverse.
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