After Being Laid Off, Tian Yuandong’s New Offer Lands in France — Turns Out He Was Dropped Right After Training Llama 4.5

Silicon Valley: Fast at Innovation — and Faster at Layoffs

Silicon Valley’s pace applies to everything — even job cuts.

Quantum Bit uncovered a vivid example at Meta: minutes after senior engineer Tian Yuandong tweeted he’d been laid off, all his internal accesses were revoked. The move, attributed to Alexander Wang, was swift and decisive.

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The Controversial “One-Sweep” FAIR Layoff

The current layoff round has sparked heated debate.

Tian Yuandong, a Meta veteran of over ten years, along with his entire FAIR team, were cut in one swoop.

Speculated Reasons

  • Factional alignment: FAIR (Tian’s team) reportedly not in Alexander Wang’s camp.
  • Performance blame: Leaks claim 600 layoffs tied to the team’s inability to deliver a reasoning model based on Llama 3, especially after competitor DeepSeek’s success.
  • Llama 4’s underperformance allegedly needed a scapegoat — Tian’s team was targeted.

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Tian Yuandong’s Response

Tian refuted the rumours directly:

> The people you mentioned weren’t even laid off.

> Since January, our team dropped all ongoing research and was moved to GenAl for post-training bug work on Llama 4.

> After release, we hunted and fixed bugs — then got laid off.

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AI luminary LeCun also clarified he had minimal involvement with Llama development:

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Layoff Timing: “Donkey Slaughter After the Millstone”

Insiders say layoffs were deliberately timed:

  • Llama 4.5 was trained before cuts.
  • Meta did not announce affected teams internally.
  • Employees discovered departures only through public “goodbye” posts or private comparisons.

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Impacted Teams & Regions

  • ~600 affected employees — exact breakdown undisclosed.
  • FAIR London likely on the chopping block next.
  • EU layoff details unclear.

TeamBlind charts show job role proportions:

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Alexander Wang’s Internal Memo

> Smaller teams = fewer conversations, wider scope, bigger impact.

Voting among 47 former employees suggests product application research and cross-functional roles also hit hard.

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Why the Delay?

  • Layoff list finalized in June/July.
  • Delay ensured teams completed Llama 4.5 training.
  • Now results can be handed off, 600 with merit removed in one stroke.

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Exit Details

  • Official departure: November 21, 2025.
  • Non-working notice period: salaries retained, systems access revoked.
  • Severance: 16 weeks base + 2 weeks/year worked − notice period.

(PS: Severance is generally a corporate policy gesture in the U.S., not a statutory obligation.)

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Lingering Risk for Remaining Employees

If you’re not in the TBD department, expect:

  • Continued heavy workloads until value extracted.
  • Possible February layoff wave.

Meta’s “super lab” AI initiative under Alexander Wang has produced chaos more than calm.

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Compensation & Opportunities

Tian Yuandong confirmed 8 months’ salary in severance.

His “Reach out :)” post drew recruitment offers from:

  • OpenAI
  • xAI
  • Google DeepMind
  • NVIDIA
  • Anthropic

…and numerous startups:

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High-profile recruiters like NVIDIA’s Jim Fan and Ma Tengyu also joined in:

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> Consensus: This is Meta’s loss.

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Cultural Reactions

  • Poetic analogies invoked Li Bai’s verse for demoted Wang Changling.
  • Xie Saining remarked: “All good things must end — may better chapters follow.”

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Meta’s Next Restructuring: Risk Control Department

One day later, Meta announced dismantling its Risk Control unit.

Reason: transition to AI-based compliance review.

> “Compliance results will be more accurate and reliable — AI can handle it.”

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Open Platforms as a Safety Net

Events like these prompt tech professionals to diversify and build independent channels.

Platforms such as AiToEarn官网 offer:

  • AI content creation & monetization
  • Cross-platform publishing (Douyin, Kwai, Bilibili, Facebook, Instagram, LinkedIn, YouTube, Pinterest, X)
  • Analytics & model rankings AI模型排名

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Meta Prepares for AI-Driven Org Shifts

Insider & Social Media Reports

  • Post 1: All risk roles cut; duties moved to ML models for fraud detection & regulation.
  • Post 2: Notices issued, multi-phase transition planned.

Business Insider Coverage

Move aligns with cost-cutting and deeper AI integration — especially for back-end operations.

Financial Context

Heavy infrastructure investments, particularly Blue Owl data centers, may enable such AI replacements.

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Broader Implications

  • Job displacement — net loss or redeployment?
  • Governance — Can AI match human judgment in nuanced compliance cases?
  • Transparency — Stakeholder trust in AI-only risk decisions?

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The Creator “Parallel”

Corporate AI expansion mirrors trends in the creative industry — where open-source AI tools like

AiToEarn (博客, 开源地址) enable creators to scale and monetize content across Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, YouTube, Pinterest, LinkedIn, Threads, and X.

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In Summary:

Meta’s restructuring reflects a wider shift — AI as the operational backbone in both corporate and independent fields. The key challenge: making these systems efficient, ethical, and trusted in complex human contexts.

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