- Mark Zuckerberg, the CEO of Meta, emphasizes that this restructuring is geared toward enhancing the metaverse
In a strategic move aimed at advancing artificial general intelligence (AGI), Meta, formerly known as Facebook, is undergoing a significant reorganization of its artificial intelligence (AI) research teams. Mark Zuckerberg, the CEO of Meta, emphasizes that this restructuring is geared toward enhancing the metaverse, a virtual environment envisaged as the future of social interaction.
Meta manages two distinct AI research groups: the Fundamental AI Research (FAIR) and GenAI Group, established in 2013, and a team dedicated to developing generative AI experiences for app users. Zuckerberg has outlined plans to bring these teams closer, fostering collaboration and growth. The move is noteworthy, particularly considering that Meta has undergone substantial workforce reductions, eliminating around 20,000 jobs since 2022.
Zuckerberg underscores that these organizational changes align with Meta’s long-term goals of creating general intelligence, ethically open-sourcing it, and integrating it into daily life. The company aims to dominate the competitive landscape of generative AI, positioning itself as a leading force in the field.
Artificial general intelligence (AGI), often compared to human-level intelligence, has attracted attention from major corporations like Google, OpenAI, and x.ai. Zuckerberg directs Meta’s considerable resources toward AGI, revealing plans to acquire approximately 350,000 high-end H100 GPUs from Nvidia for processing power. The envisaged applications for AGI include empowering digital assistants, augmented reality glasses, and other cutting-edge services and devices.
To support these ambitious AI goals, Meta plans a substantial investment in its AI computing infrastructure, focusing on acquiring potent H100 GPUs. The H100 chip, renowned for its efficacy in training massive language models like ChatGPT, underscores Meta’s commitment to developing robust AI infrastructure. By the end of the year, Zuckerberg anticipates Meta will possess approximately 350,000 Nvidia H100s, representing a considerable investment in infrastructure.
This initiative raises cost concerns, as the H100 GPUs are expensive, potentially amounting to a total cost exceeding $9 billion for Meta. Linking AI initiatives with the metaverse aligns with Zuckerberg’s vision, even though the metaverse is still not widely understood. Zuckerberg foresees a future where individuals routinely interact with AIs using smart glasses, such as those developed in collaboration with Ray-Ban Meta.
In summary, Meta’s strategic restructuring underscores its commitment to pioneering advancements in AI, particularly in AGI, focusing on building a robust computing infrastructure to shape the future of social interaction within the metaverse. The company’s substantial investment signals its determination to lead the way in the evolving landscape of generative AI.
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