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Meta’s Superintelligence Lab Weighs Shifting AI Strategy Toward Closed Models

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Meta’s latest push into artificial intelligence may signal a dramatic pivot in its approach to developing cutting-edge technologies. The company’s recently established superintelligence lab, led by incoming chief AI officer Alexandr Wang following Meta’s $14.3 billion investment in Scale AI, is reportedly contemplating abandoning its hallmark open source AI model, Behemoth, in favor of a closed alternative. Such a shift would represent a significant strategic and philosophical change for the social media giant, which has long championed open development in AI. The discussions, revealed by insiders, come as Meta seeks to regain its footing amid recent stumbles and increasing competition from tech rivals like Google and OpenAI. While no official decisions have been made—any change would require CEO Mark Zuckerberg’s approval—internal dynamics are already shifting, with key researchers recruited from Silicon Valley leaders and growing uncertainty among current AI staff. The prospective move underlines Meta’s determination to remain at the forefront of the AI race, even as it risks alienating a developer community that has embraced its open adoptions in the past.

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