In a few short years, artificial intelligence (AI) has transformed how we interact with computers and threatens to upend wide swathes of the job market. But large language models (LLMs) still struggle with the messy realities of the physical world. Researchers are betting that a new type of AI, called "world models," could fix that.
At a fundamental level, world models do exactly what the name suggests: They build a mathematical model of the world that can then be used to make predictions about how it will change in response to certain actions or changing conditions. The "world" in this context doesn't necessarily mean the entire physical reality. Instead, it refers to the environment the model operates within, which could be anything from a warehouse to a video game.
Exactly what counts as a world model and how best to build such a model remain topics of considerable debate among AI researchers. But world models would represent a significant advance over LLMs, which, despite their impressive capabilities, simply predict the most likely next word in a sequence.
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