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---
title: Why AMI Labs’ Alexandre LeBrun won’t call his AI ‘AGI’...
description: Alexandre LeBrun, CEO of AMI Labs (Yann LeCun's world model startup), rejects terms like 'AGI' and 'superintelligence' as poorly defined buzzwords. He explains...
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og:description: Alexandre LeBrun, CEO of AMI Labs (Yann LeCun's world model startup), rejects terms like 'AGI' and 'superintelligence' as poorly defined buzzwords. He explains...
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# Why AMI Labs’ Alexandre LeBrun won’t call his AI ‘AGI’ or ‘superintelligence’

**[TechCrunch](https://daily.dev/sources/tc)** · 5 min read · 1 upvotes · 0 comments

## Summary

Alexandre LeBrun, CEO of AMI Labs (Yann LeCun's world model startup), rejects terms like 'AGI' and 'superintelligence' as poorly defined buzzwords. He explains that world models — which predict the next state of the physical world rather than the next word — are complementary to LLMs, not replacements. AMI Labs is pre-product but targeting robotics, manufacturing, and healthcare sectors where LLMs fall short due to their lack of real-world grounding. LeBrun is actively courting industrial partners in South Korea and Asia, drawn by the region's advanced hardware ecosystem and fast adoption culture. The startup raised $1.03 billion in March at a $3.5 billion valuation but has no product or timeline to announce yet.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://techcrunch.com/2026/07/16/why-ami-labs-alexandre-lebrun-wont-call-his-ai-agi-or-superintelligence>

## Questions this post answers

### What is the difference between a world model and a large language model?

A large language model predicts the next word or piece of text, while a world model predicts the next state of the physical world, incorporating physics to anticipate outcomes like a glass tipping and spilling when nudged off a table. According to AMI Labs CEO Alexandre LeBrun, the two are complementary rather than interchangeable: LLMs remain the most efficient tools for language, while world models provide real-world context and physical understanding, particularly relevant for robotics.

_Developers weighing world models against LLMs for robotics can track how the approaches diverge on daily.dev._

### How much funding has Yann LeCun's AMI Labs raised and what is it worth?

AMI Labs raised $1.03 billion in a funding round completed in March, at a $3.5 billion pre-money valuation. The startup, co-founded by Turing Award winner Yann LeCun after leaving Meta, remains pre-product with no committed timeline for a launch, though its CEO says a surprise announcement will come when the company is ready.

_Anyone following world model startups can keep tabs on AMI Labs' progress via daily.dev._

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---

Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#robotics](https://daily.dev/tags/robotics), [#world-models](https://daily.dev/tags/world-models)

[View this post on daily.dev](https://daily.dev/posts/why-ami-labs-alexandre-lebrun-won-t-call-his-ai-agi-or-superintelligence--3y0zjw0ve)

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