Meta’s chief AI scientist Yann LeCun is backing a new artificial-intelligence venture focused on building systems that understand how the physical world works. The company has reportedly raised around $1 billion to pursue research into “world-model” AI systems that can simulate physical environments and reason about cause and effect. Unlike traditional large language models that rely heavily on text data, world-model approaches aim to train AI systems on visual and environmental data so they can develop deeper understanding of real-world dynamics. Researchers believe such systems could eventually support applications ranging from robotics to autonomous vehicles. The investment reflects growing interest in AI approaches that move beyond text-based models toward systems capable of interacting with the physical world.
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