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Yann LeCun’s AMI Labs raises $1.03 billion to build world models

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By Emergent AI Desk

Tuesday, March 10, 2026

Yann LeCun’s AMI Labs raises $1.03 billion to build world models

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** AMI Labs, the new venture cofounded by **Yann LeCun** after he left **Meta**, has raised **$1.

**

AMI Labs, the new venture cofounded by Yann LeCun after he left Meta, has raised $1.03 billion at a $3.5 billion pre-money valuation. This significant funding boost will support the development of AI-powered world models, a key area of focus for the company.

What Happened

AMI Labs, a new venture in the field of artificial intelligence, has secured a substantial investment of $1.03 billion. This funding round values the company at $3.5 billion before the investment. The company was cofounded by Yann LeCun, a renowned AI researcher and winner of the Turing Prize.

Why It Matters

The funding will be used to advance the development of world models, a crucial area of research in AI. World models are designed to simulate complex systems and make predictions about real-world events. The technology has the potential to transform various industries, including finance, healthcare, and climate modeling.

What Experts Say

> "The development of world models is a critical area of research in AI. With this funding, AMI Labs is well-positioned to make significant advancements in this field." — Yann LeCun, Cofounder, AMI Labs

Key Numbers

  • $1.03 billion: Amount raised by AMI Labs in funding
  • $3.5 billion: Pre-money valuation of AMI Labs
  • 2023: Year AMI Labs was founded

Background

Yann LeCun is a prominent figure in the field of AI research. He is a professor at New York University and a former director of AI Research at Meta. He left Meta to focus on his new venture, AMI Labs.

Key Facts

## Key Facts
- Who: Yann LeCun
- What: Raised $1.03 billion in funding for AMI Labs
- When: 2023
- Where: New York
- Impact: Advancements in AI-powered world models

What Comes Next

The funding will enable AMI Labs to accelerate the development of world models, which could have significant implications for various industries. As the company continues to advance this technology, it will be important to monitor its progress and potential applications.

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