Yann LeCun's AMI Labs raises $1.03 billion to build world models | TechCrunch

"My prediction is that 'world models' will be the next buzzword. In six months, every company will call itself a world model to raise funding. AMI Labs is fundamentally different: its goal is to understand the real world. This could have applications in healthcare, where AMI Labs' first partner will be Nabla, the digital health startup of which he's now chairman."

"AMI Labs is a very ambitious project, because it starts with fundamental research. It's not your typical applied AI startup that can release a product in three months, have revenue in six months and make $10 million in [annual recurring revenue] in 12 months. In contrast, it could take years for world models to go from theory to commercial applications."

"As CEO of Nabla, LeBrun had reached the same conclusion as LeCun on the limitations of large language models (LLMs) where hallucinations could have life-threatening repercussions. But he also knows it will take a while for the startup to offer a viable alternative based on JEPA, the Joint Embedding Predictive Architecture proposed by LeCun in 2022."

AMI Labs, a new venture founded by Turing Prize winner Yann LeCun after leaving Meta, secured $1.03 billion in funding at a $3.5 billion pre-money valuation to develop world models—AI systems that learn from real-world data rather than relying solely on language. CEO Alexandre LeBrun predicts world models will become the next industry buzzword, with applications in healthcare through partnership with Nabla. Unlike typical applied AI startups, AMI Labs prioritizes fundamental research using JEPA (Joint Embedding Predictive Architecture), meaning commercial viability may take years. The funding significantly exceeded initial expectations of €500 million, reflecting investor confidence in the team and the emerging world models category.

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