In recent years, public understanding of AI has largely centered on large language models, but a new category known as 'world models' is gaining significant investment and research attention. These models aim to simulate the physical world—or a useful approximation of it—rather than focusing solely on language. As a result, they represent a potential shift toward AI systems capable of understanding and predicting real-world environments.
World Models: The Hype and Hurdles of Simulating Reality
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