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Meta's Ambitious Pursuit of AI Superintelligence

Meta is investing heavily in AI, forming a team to develop 'superintelligence' and recruiting top talent to lead the initiative.

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Overview

A summary of the key points of this story verified across multiple sources.

  • Meta is assembling a team of AI researchers and engineers to develop a 'superintelligence' aimed at leading the AI race.
  • The company is establishing a dedicated AI research lab for the superintelligence project, signaling a major commitment to AI advancements.
  • Alexandr Wang, CEO of Scale AI, has been appointed to the new lab, highlighting Meta's strategy to attract top talent.
  • Meta is aggressively recruiting from leading AI firms like OpenAI and Google, offering lucrative compensation packages to secure expertise.
  • The tech giant plans to invest up to $65 billion in AI infrastructure, including a new data center, to support its superintelligence goals.
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Analysis

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Establish a new AI lab focused on superintelligence, recruiting top researchers with lucrative offers.

"The pursuit assumes we'll recognize it when we see it, despite the conceptual fuzziness."

ARS TechnicaARS Technica
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"Meta plans to unveil a new AI research lab dedicated to “superintelligence” as the company works to compete in the AI race."

TechCrunchTechCrunch
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FAQ

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Meta’s new superintelligence lab aims to develop AI systems that surpass human-level intelligence, focusing on artificial general intelligence (AGI) and the integration of these technologies across Meta’s product suite, including chatbots and augmented reality glasses.

Alexandr Wang, CEO and founder of Scale AI, is leading the new lab. His appointment highlights Meta’s strategy to attract top industry talent and signals a commitment to leveraging expertise in AI data infrastructure and model training.

Meta is aggressively recruiting approximately 50 elite engineers and researchers, targeting talent from leading AI firms like OpenAI and Google. The company is offering highly competitive compensation packages, including nine-figure salaries for top candidates.

Meta is investing up to $65 billion in AI in 2025, which includes building a massive new data center to support its superintelligence goals.

Meta delayed the release of Behemoth due to concerns about whether its improvements over prior models were significant enough to justify a public release, as well as challenges in training the AI model.

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