Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. For researchers, that question has real-world consequences, from how robots ...

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI needs to finally reach AGI. To many people, AI manifests one of sci-fi’s ...

World models learn an internal representation that predicts how an environment may evolve when an agent or other actor takes ...

In recent years, we’ve become used to seeing text, pictures, videos and even computer code generated by AI. But what if it could go a step further and create entire worlds? Well, for developers ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such as robotics. Some researchers, including the computer scientist and AI ...

The latest ambition of artificial intelligence research — particularly within the labs seeking “artificial general intelligence,” or AGI — is something called a world model: a representation of the ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

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