{
  "id": 15194118,
  "title": "A 44-minute call and a memo: How Alexandr Wang won Mark Zuckerberg’s trust—and a $100 billion-plus AI bet",
  "url": "https://urgent.news/2026/10/17/a-44-minute-call-and-a-memo-how-alexandr-wang-won-mark-zuckerbergs",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-17T11:55:00.000Z",
  "source": {
    "name": "Fortune",
    "slug": "fortune",
    "url": "https://fortune.com/2026/10/17/alexandr-wang-mark-zuckerberg-meta-superintelligence-labs-muse-wonder-ai-bet/"
  },
  "original_language": "en",
  "account": "Mark Zuckerberg spent tens of billions on a failed metaverse and is now investing heavily in Meta's personal AI agent, Muse. Alexandr Wang, who led the effort, was invited to lead Meta Superintelligence Labs just months after Meta's Llama 4 models received mixed reviews. In a 44-minute conversation, Zuckerberg and Wang discussed their partnership and Wang's memo outlining his approach for Meta. Wang emphasized talent density and starting from scratch, noting that Meta needed someone to recruit top researchers and rebuild the team. Zuckerberg was impressed by Wang's sharpness and experience, despite Wang's lack of experience in training frontier models. The two also discussed the \"supernova\" recruiting push, where Meta paid $14.3 billion for a 49% stake in Scale AI to bring Wang aboard and offered $100 million to OpenAI researchers. Wang built a small, elite team of fewer than 200 people within Meta Superintelligence Labs, known as \"insecure overachievers\" who consistently over-deliver. Muse Wonder, the first frontier-class model from the lab, was launched in August and is considered state-of-the-art based on internal measurements. Independent scorekeepers rate Muse Wonder as roughly equal to top models from OpenAI and Anthropic, but slightly behind the leader.",
  "summary": "Meta’s CEO and his 29-year-old chief AI officer revealed on Stripe cofounder John Collison’s podcast how one phone call became Meta Superintelligence Labs, and why the company’s CFO warned that failure would be “very, very bad in financial terms.”",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}