AI researcher Andrew Tulloch, who is a legend in Silicon Valley for supposedly rejecting a world-historically huge pay package from Meta boss Mark Zuckerberg, has quit Meta, according to a report by Semafor.
Tulloch reportedly timed his departure for the day after a major AI product release from the company. Yesterday, Meta released Muse, an OpenClaw-like agentic AI platform with coding and computer use capabilities. Muse is marketed to mainstream tech users rather than developers or AI specialists.
Semafor says no reason is known for Tulloch’s departure, nor is there any word on where he’s headed. A researcher at Meta’s AI rival Anthropic left yesterday and sparked an online frenzy by trumpeting the supposed danger of rapid AI research, and the supposed awareness of that danger by industry leaders like Dario Amodei.
Tulloch’s personal website says he grew up in Perth, Australia, and studied math at the University of Sydney, as well as at Cambridge. That site escribes his role at Meta as “working on superintelligence.” He was indeed working at the TBD lab within Meta’s Superintelligence Labs, which Semafor describes as the “center” of Meta’s AI operation. He worked under Meta’s billionaire AI chief Alexandr Wang, co-founder and former CEO of Scale AI.
A report from about a year ago in the Wall Street Journal tells the supposed story that made Tulloch famous. As part of his quest to catch up to his AI competitors, the story goes that Mark Zuckerberg tried to convince Thinking Machines Lab, co-founded by Tulloch and OpenAI former CTO Mira Murati, to be acquired by Meta. When that didn’t work, he turned to the Thinking Machines staff, eventually offering another co-founder Tulloch a pay package that—depending on bonuses and stock performance—could have been worth $1.5 billion over six years. (Andy Stone, a Meta spokesperson, denies this outright, and calls the report on the offer “inaccurate and ridiculous.”)
Then, about ten months ago, Tulloch took the job at Meta after all. It’s not known how much he got paid.
Gizmodo reached out to Meta for comment on Tulloch’s apparent departure. We will update if we hear back.
Facts Only
Andrew Tulloch quit Meta.
Tulloch reportedly timed his departure for the day after Meta released Muse.
Meta released Muse, an agentic AI platform with coding and computer use capabilities.
Muse is marketed to mainstream tech users.
Tulloch worked at Meta’s TBD lab within Superintelligence Labs.
Tulloch worked under Alexandr Wang.
A report mentioned an alleged offer from Mark Zuckerberg and Meta for a pay package of up to $1.5 billion over six years.
Andy Stone, a Meta spokesperson, denied the existence of the reported offer.
A researcher at Anthropic left recently, discussing the danger of rapid AI research.
Tulloch grew up in Perth, Australia, and studied math at the University of Sydney and Cambridge.
Executive Summary
Full Take
The narrative surrounding Tulloch’s departure weaves together themes of high-stakes ambition within the AI field, the complex incentives of corporate influence, and the perceived risks associated with rapid technological advancement. The tension between the publicly known history—a reputed massive compensation offer followed by a sudden exit—and the lack of public justification creates an informational void that invites varied interpretations regarding agency and power dynamics. The context of other departures in the field, such as the one from Anthropic sparking wider concern about AI safety, suggests a pattern where internal friction or external philosophical disagreement catalyzes professional shifts within high-growth technology sectors.
The alleged history involving Zuckerberg and Meta points to a potential tension between individual expertise and corporate consolidation of talent and research direction. The conflicting accounts regarding the financial offer highlight how narratives are constructed around perceived value, whether that value is measured in specific compensation or in the broader, unquantifiable importance of cutting-edge AI development. Understanding this requires examining what incentives drive researchers when facing immense potential rewards versus concerns about the trajectory of the technology itself.
What assumptions underpin the public framing of these events—that departures are purely transactional rather than indicative of deeper structural conflicts over the direction or morality of AI research? Who benefits most from the lack of transparency regarding the motivation behind such high-profile movements, and what does this silence imply about the relationship between corporate leadership and specialized knowledge? What specific mechanisms—such as reputational risk versus direct financial incentive—most effectively shape the public perception of a scientist's decision to leave an organization at a critical juncture?
Sentinel — Human
The text reads like journalistic reporting synthesizing multiple secondary reports regarding an individual's career moves within the AI sector, exhibiting typical patterns of investigative storytelling rather than pure synthetic generation.