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内部爆料:Alexandr Wang上任第一把火,Meta大模型闭源

Core Viewpoint - Meta is considering a significant shift in its AI development strategy, potentially moving from an open-source model to a closed-source approach, which would represent a major philosophical and technical change for the company [1][7]. Group 1: AI Development Strategy - Meta's newly established Superintelligence Lab is discussing a major decision that could alter its AI development direction [2]. - There are differing opinions within Meta regarding the future of its AI models, with some executives advocating for closed-source models while others believe that an open-source strategy remains advantageous in the competitive landscape [3]. - The focus of the discussion is on Meta's most powerful open-source AI model, Behemoth, which has faced delays due to performance issues [4][5]. Group 2: Organizational Changes - Meta has made significant organizational changes, including a $14.3 billion investment in Scale AI, acquiring a 49% stake and appointing Scale AI's CEO, Alexandr Wang, as Meta's Chief AI Officer [8]. - The entire AI department has been rebranded as the Meta Superintelligence Lab, led by Alexandr Wang and a core team of newly hired researchers [9]. Group 3: Future Directions and Concerns - Meta's spokesperson stated that the company's stance on open-source AI remains unchanged, planning to continue releasing leading open-source models while also training a combination of open-source and closed-source models [13]. - The discussions within the Superintelligence Lab are still in preliminary stages, and any major changes will require CEO Mark Zuckerberg's approval [13]. - The uncertainty surrounding Meta's potential shift to closed-source models raises concerns for startups relying on open-source models and the academic community, which heavily depends on open-source resources [16][20].