Yann LeCun’s New AMI Labs Secures $1.03B to Build a World‑Model Alternative to LLMs
Yann LeCun and Alexandre LeBrun have launched AMI Labs, raising $1.03 billion in Europe’s largest seed round to develop JEPA—a world‑model architecture intended to replace LLMs for high‑risk domains, with all code and papers open‑sourced, a 5‑10‑year horizon, and backing from NVIDIA, Samsung, Bezos’ venture, and others.
After leaving Meta, Yann LeCun co‑founded AMI Labs with Alexandre LeBrun and secured a $1.03 billion seed round, the largest ever in Europe.
LeBrun, the founder of Wit.ai (acquired by Facebook in 2015) and former CEO of Nabla, joins LeCun in arguing that large language models (LLMs) suffer from hallucination problems that are especially dangerous in high‑risk fields such as medicine.
The core technology is the JEPA architecture proposed by LeCun, which aims to construct a “world model” that can simulate physical reality rather than merely processing text. LeBrun states that the project will not produce a product or revenue in the short term, positioning it as a 5‑10‑year research effort.
The team includes prominent scholars such as Saining Xie, Pascale Fung, and Michael Rabbat. Investors listed are NVIDIA, Samsung, Bezos’ venture fund, Eric Schmidt, Mark Cuban, and Tim Berners‑Lee. All code and papers will be released as open source.
LeBrun predicts that “world model” will become the next buzzword within six months, with many startups adopting the label. AMI Labs is betting that when this trend materializes, it will have tangible results to show.
Public reaction is mixed: some commenters note that LLMs are easier to implement and question whether JEPA can make verifiable logical decisions in high‑risk scenarios; others point out that LeCun warned about LLMs being a dead‑end in 2022, yet LLMs continue to improve, making a decade‑long, no‑revenue research plan seem more like an academic tenure than a typical startup.
Exploring alternatives to LLMs is seen as worthwhile, and if JEPA proves to be a breakthrough, the massive funding could be justified.
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