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Meta Denies $100M Signing Bonus Claims as OpenAI Researcher Calls It ‘Fake News’

News RoomBy News RoomJune 28, 2025Updated:June 28, 20252 Mins Read
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Res Assuming Clear Relationships with AI Referents

In recent weeks, the landscape of AI talent headlines has been roaring with speculation, especially at Meta. A researcher at OpenAI, Lucas Beyer, has now made it clear that he is transitioning to Meta, scoped up with colleagues Alexander Kolesnikov and Xiaohua Zhai. His announcement denies the rumors of a $100 million signing bonus he allegedly secured. Beyer commended Meta as a place to join and expressed excitement for the merger, mocks at Altman’s claims as "fake news."

Sam Altman, Meta’s CEO, defused the confusion by accusing Meta of "giant offers" from OpenAI, with none of Meta’s top talent accepting these deals. Meta immediately countered, stating that compensation remains a heated topic but仿contexted Altmann’s rhetoric regarding retaining talent. Bosworth, meta’s CTO, corroborated this stance, noting that such large offers are rare and Altmann’s motives were strategic.

Meta, however, has grown its focus towards areas such as entertainment and social connectivity, rivaling productivity-focused OpenAI tools. The company is building a new superintelligence team and is forming strategic alliances with uluslararası partners like Scale AI, aiming to establish itself as a dominant force in the AI space.

Despite attracting star talent like Lucas Beyer, the recommendations from Altman have often been met with skepticism, as Kubeth Lucas, a highly sought-after talent, was eventually يوليوed by Meta despite his presence. Meta’s strategy underscores a broader effort to compete, though its AI reach remains behind in industry perception and developmental roadmap building.

In addressing the "fake news page" claim, Lucas clarified that he never received such a reward, expressing that in an interview, Meta sought further information. Meta promised to seek other talent when it delves into the claims.

Ultimately, the conversation underscores the complexities of talent acquisition in an increasingly competitive AI market, where both innovation and strategic vision redefine success.

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