Both Chinese, Different Fates: Meta Picks $150M Rising Star Over 10-Year Veteran | Deep Web

Both Chinese, Different Fates: Meta Picks $150M Rising Star Over 10-Year Veteran | Deep Web

Zuckerberg Reshapes Meta’s AI Workforce

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Image source: Visual China

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Meta has been aggressively recruiting top AI talent — but now the company is restructuring existing AI teams.

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Major Layoffs in the Mega-scale Super Intelligence Lab (MSL)

Date: October 22

Action: About 600 positions cut

MSL comprises four divisions:

  • Model Training & Deployment (TBD Lab)unaffected by layoffs
  • Fundamental AI Research (FAIR)
  • Product Integration
  • Infrastructure

The last three divisions are all impacted.

This is a sharp contrast to Meta’s recent AI hiring spree:

  • Paid multi-million packages to recruit engineers from high-profile startups (e.g., $150M over six years for one co-founder)
  • Invested $14.3B in Scale AI
  • Purchased several AI startups

An industry insider explained:

> “Meta is balancing two goals: paying high premiums for top-tier talent, while keeping the organization agile.”

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Funding Commitments Continue

Despite layoffs, Meta’s infrastructure investments remain massive:

  • $27B for the Hyperion data center
  • Deals worth $14B with CoreWeave
  • $10B partnership with Google Cloud

Analysts note Meta’s AI strategy is more focused than in 2023, yet still evolving — with a greater emphasis on accountability in AI R&D.

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Veteran AI Scientist Departs: Tian Yuandong

Role: Director of Research Science, FAIR

Tenure: Over 10 years at Meta

Background:

  • Degrees from Shanghai Jiao Tong University
  • PhD from Carnegie Mellon University (2013)
  • Former Google autonomous driving researcher

Contributions at Meta:

  • ELF OpenGo — defeated professional Go players
  • GaLore — efficient large-model training
  • Coconut — continual reasoning framework
  • StreamingLLM — optimized inference performance

His publications have been cited 18,000+ times. Meta offered Tian a severance equivalent to 8 months' salary.

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Additional Layoffs:

Cui Jiaxun — FAIR researcher under Tian — joined Meta only in July 2024 and was let go in September.

Meta also cut 100+ staff from privacy/compliance teams, replacing manual reviews with automated compliance processes for greater consistency.

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Wider Industry Context

Corporate AI restructuring now focuses on targeted competitiveness over sheer headcount.

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Rank-and-file Elimination & Internal Factionalism

After appointing Alexander Wang as Chief AI Officer in June, Meta:

  • Poached 50+ researchers from rivals
  • Hired high-profile execs like Nat Friedman & Daniel Gross
  • Spent $200M to recruit Ruoming Pang (ex-Apple AI lead)

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Internal Tensions

Former scientist Tijmen Blankevoort criticized Meta’s generative AI division in an open letter:

> “Nobody thinks Meta is a good place to stay long-term… Most people don’t even know what our mission is.”

Problems cited:

  • Culture of fear due to performance-driven layoffs
  • February 2024 cut of 3,600 staff (~5%) based on ratings
  • Metrics like “lines of code changed” used for dismissals
  • Competition between FAIR and product teams for computing resources

Political divisions persist:

  • Chris Cox — oversees generative AI
  • Andrew Bosworth — heads Reality Labs
  • TBD Lab led by Alexander Wang — expanding despite cuts

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AI Without “Manpower Tactics”

Zuckerberg sees small, elite teams as key — not massive headcount. Dissatisfied with Llama 4’s reception and performance relative to rivals like DeepSeek, he is:

  • Recruiting top external talent
  • Streamlining structure & strategy
  • Aligning with Alexander Wang’s philosophy

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Financial Outlook & Market Impact

Despite restructuring, Meta is:

  • Pouring tens of billions into AI infrastructure
  • Raising 2025 expense forecast to $114–118B
  • Expecting faster expense growth in 2026

Stock Performance:

  • Record high ~$789 in Aug 2024
  • Closing at ~$738.36 on Oct 24
  • Market cap near $1.86T

Key Growth Driver: AI-enhanced ad targeting boosting engagement & pricing power.

Net income over past 12 months: $71B.

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Risks

  • Reality Labs losing $3.7B (Q2 alone)
  • High stock valuation reliant on AI roadmap execution

However, analysts remain optimistic given Zuckerberg’s track record in strategic pivots.

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Monetizing AI Creativity

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Xiaoman Studio | Tencent News

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Issue No. 1383

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