AMI Labs: Real World. Real Intelligence.
March 11, 2026
Our main goal is to build intelligent systems that understand the real world.
Real-world data is continuous, high-dimensional, and noisy, whether it is obtained through cameras or any other sensor modality.
Generative architectures trained by self-supervised learning to predict the future have been astonishingly successful for language understanding and generation. But much of real-world sensor data is unpredictable, and generative approaches do not work well.AMI is developing world models that learn abstract representations of real-world sensor data, ignoring unpredictable details, and that make predictions in representation space.
Action-conditioned world models allow agentic systems to predict the consequences of their actions, and to plan action sequences to accomplish a task, subject to safety guardrails.
AMI will advance AI research and develop applications where reliability, controllability, and safety really matter, especially for industrial process control, automation, wearable devices, robotics, healthcare, and beyond.
Founded by a globally distinguished team of scientists, engineers, and builders, AMI is a frontier AI research lab operating across three continents from day one.
Yann LeCun is a genuine giant in the field of machine learning and AI who developed techniques that are at the heart of modern machine learning.
Until recently, the head of the AI efforts at Meta, he’s long expressed skepticism that current large language model-based techniques are a pathway to AGI.
He, like a number of other researchers, believes that world models, models that have a genuine understanding of the world, rather than simply of human language, are that path. And today he announced a new company with a billion dollars in funding to further that work.
