Meta hires former Safe Superintelligence CEO Daniel Gross for his Superintelligence AI team
Mark Zuckerberg
has recruited
Daniel Gross
, former CEO and co-founder of
Safe Superintelligence Inc.
, to join his newly formed
Meta Superintelligence Labs
(MSL) as the social media giant intensifies its
artificial intelligence
arms race against
OpenAI
and Google.
Gross will work on
AI products
for the superintelligence group, according to his spokesperson. The high-profile hire comes as Meta restructures its AI division and launches an aggressive talent acquisition campaign, with
Zuckerberg
personally recruiting top researchers through meetings at his Lake Tahoe and Palo Alto homes.
The recruitment of Gross follows Meta's announcement of MSL, led by former Scale AI CEO Alexandr Wang as chief AI officer after the company's $14.3 billion acquisition of his data-labeling startup. Former GitHub CEO Nat Friedman will co-lead the division alongside Wang, focusing on AI products and applied research.
Gross's departure from Safe Superintelligence, where he served as CEO alongside co-founder Ilya Sutskever, leaves the $32 billion startup under new leadership. Sutskever, OpenAI's former chief scientist, will now serve as CEO while Daniel Levy becomes president.
by Taboola
by Taboola
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Zuckerberg's nine-figure pay packages lure Top AI executives from competitors
The move represents another major coup for Zuckerberg's superintelligence initiative, which has already poached 11 prominent AI researchers from competitors including OpenAI, Anthropic, and
Google DeepMind
. Meta is offering unprecedented compensation packages reaching nine figures to secure top talent.
Prior to SSI, Gross was a tech investor with Friedman and previously co-founded startup Cue, which Apple acquired in 2013. He led AI and search projects at Apple from 2013 to 2017 and served as a partner at Y Combinator.
Zuckerberg believes Meta's strong advertising revenue provides a funding advantage over rivals dependent on external investment, enabling the company to build multi-gigawatt data centers for AI development. The CEO aims to achieve
artificial general intelligence
that surpasses human capabilities across all tasks.
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