Meta’s newly formed superintelligence lab, dedicated to advancing artificial general intelligence (AGI), has sparked a significant debate about a potential overhaul of the company’s AI strategy.
Reports indicate that the lab, led by Chief AI Officer Alexandr Wang, is exploring the possibility of abandoning its flagship open-source model, Behemoth, in favor of a closed architecture.
This proposed shift mirrors the approaches of competitors like OpenAI and Google, marking a potential philosophical pivot for a company that has long championed open-source development and earned widespread recognition from developers.
For years, Meta has positioned itself as a leader in open-source AI, making its models’ code publicly available to foster innovation and collaboration. The Behemoth model, a frontier AI designed to push the boundaries of performance, has been a cornerstone of this strategy. However, recent discussions suggest that the lab is reevaluating this approach, possibly driven by the need to compete more effectively in a rapidly evolving AI landscape dominated by closed systems.
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The talks are still in their early stages and require approval from Meta CEO Mark Zuckerberg to proceed. The initiation of this dialogue by Wang’s team signals a possible strategic pivot for the social media giant, which has invested heavily in AI infrastructure and talent.
While no final decisions have been made, the mere consideration of a closed model reflects growing pressures to balance openness with proprietary control, a move that could redefine Meta’s role in the global AI race.
