Yann LeCun raises $1B to bet against flawed AI models like ChatGPT
The Turing Award winner who helped invent modern AI thinks large language models are a dead end, and he just raised the largest seed round in European history to prove it.
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Add us on Google by Editorial Team Jun. 8, 2026One of the people who helped build the foundation of modern artificial intelligence just placed a billion-dollar bet that the industry’s most popular approach is fundamentally wrong.
Yann LeCun, the Turing Award-winning researcher who spent roughly 12 years leading Meta’s Fundamental AI Research lab, has raised $1.03 billion in seed funding for his new venture, Advanced Machine Intelligence Labs. That’s approximately €890 million, making it the largest seed round ever recorded in European history, with a pre-money valuation of $3.5 billion.
The thesis: LLMs won’t get us to AGI
LeCun’s core argument is deceptively simple. The large language models powering tools like ChatGPT learn by predicting the next word in a sequence. They’re very good at it. But LeCun believes that no matter how much you scale that approach, it will never produce anything resembling true artificial general intelligence.
AdvertisementAMI Labs is instead building what LeCun calls “world models,” systems that learn from the physical world rather than from text on the internet. The company’s focus areas include robotics, healthcare, and industrial applications, the kinds of domains where understanding physics and spatial reasoning matters far more than generating eloquent prose.
Who’s writing the checks
The investor list reads like a who’s-who of tech and sovereign capital. NVIDIA, Temasek, Samsung, and Toyota Ventures all participated in the round. Jeff Bezos (through Bezos Expeditions) and Mark Cuban also came in as individual backers.
AMI Labs originally targeted around €500 million. The round was oversubscribed, eventually closing at more than double that figure.
The company currently has around 12 employees. That works out to roughly $86 million in funding per person. AMI has set up hubs in Paris, New York, Montreal, and Singapore.
Why this matters beyond AI research
LeCun isn’t some contrarian blogger yelling into the void. He shared the 2018 Turing Award for his pioneering work on deep learning. The convolutional neural networks he helped develop are the backbone of modern computer vision.
His departure from Meta after over a decade leading FAIR is itself a statement. Meta has invested heavily in LLMs, including its Llama series of open-source models.
The announcement landed on March 10, 2026. Toyota’s involvement is particularly telling. Automakers and industrial companies have been cautious participants in the AI boom, skeptical that chatbots would transform their businesses. World models that understand physics and can power robotics represent a different pitch entirely for companies like Toyota, which participated as both investor and potential future customer.
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