Originally published on andrew.ooo
TL;DR
- AMI Labs raised $1.03 billion in seed funding - Europe's largest-ever seed round
- $3.5 billion pre-money valuation for a company with no product and no revenue
- Founded by Yann LeCun (Turing Award winner, former Meta Chief AI Scientist) just 4 months ago
- Building "world models" - AI that learns from physical reality, not just language
- Backed by Jeff Bezos, Nvidia, Toyota, Samsung, Eric Schmidt, and more
- LeCun believes LLMs are a "dead end" - and investors are putting serious money behind that conviction
The Numbers That Matter
| Metric | Value |
|---|---|
| Seed Round | $1.03 billion |
| Pre-Money Valuation | $3.5 billion |
| Post-Money Valuation | ~$4.5 billion |
| Time Since Founding | 4 months |
| Revenue | $0 (no plans for near-term revenue) |
This is the largest seed round ever raised by a European startup.
Who Is Yann LeCun?
If you're building anything with AI, you're probably using his work.
Yann LeCun won the 2018 Turing Award alongside Geoffrey Hinton and Yoshua Bengio for their work on deep learning. His specific contribution? Convolutional neural networks (CNNs) - the architecture that powers virtually all modern computer vision.
He spent 12 years at Meta as Chief AI Scientist, building FAIR into one of the most respected AI labs in the world. Then in November 2025, he quit to start AMI Labs.
Why LeCun Thinks LLMs Are a "Dead End"
Here's the controversial take that got him $1 billion:
"LLMs learn from text - which is a compressed, lossy representation of human knowledge. A child learns about the physical world by interacting with it for years before they learn language. LLMs skip that step entirely."
The result? Hallucinations, inconsistency, and an inability to reason about the physical world.
What Are World Models?
AMI Labs is building "world models" using JEPA (Joint Embedding Predictive Architecture), which LeCun proposed in 2022.
| Aspect | LLMs | World Models |
|---|---|---|
| Learning Source | Text data | Multimodal sensor data |
| Prediction Method | Next word prediction | Abstract representation prediction |
| Understanding | Surface patterns | Underlying physics/causality |
| Real-World Application | Chatbots, content | Robotics, autonomous systems |
The All-Star Team
| Name | Role | Previous |
|---|---|---|
| Yann LeCun | Executive Chairman | Meta Chief AI Scientist, NYU Professor, Turing Award |
| Alexandre LeBrun | CEO | Founder of Nabla, former Meta FAIR |
| Saining Xie | Chief Science Officer | Google DeepMind |
| Laurent Solly | COO | VP for Europe at Meta |
The Investor Lineup
Lead investors: Cathay Innovation, Greycroft, Hiro Capital, HV Capital, Bezos Expeditions
Strategic investors: Nvidia, Toyota, Samsung, Temasek, Sea
Notable individuals: Jeff Bezos, Eric Schmidt, Tim Berners-Lee, Jim Breyer, Mark Cuban
What This Means for the AI Industry
The "Post-LLM" Narrative Is Real - When a Turing Award winner raises $1B to build something different, it's not just marketing.
The Great AI Researcher Migration - LeCun, Murati (Thinking Machines), and Fei-Fei Li (World Labs) have all left Big Tech. The brain drain is accelerating.
World Models Are the Next Buzzword - CEO LeBrun predicted: "In six months, every company will call itself a world model to raise funding."
Europe Has a Dog in the Fight - AMI Labs is the first European frontier AI lab with funding comparable to US competitors.
Timeline
- Year 1: Pure research and development
- Year 1-2: Begin discussions with corporate partners
- Year 3-5: "Fairly universal intelligent systems" for commercial deployment
For the full deep-dive with more details on the team, investors, and business model, read the complete article on andrew.ooo.
What do you think - are LLMs really a dead end, or is this just contrarian marketing? Let me know in the comments!
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