Yann LeCun: Next-generation AI must understand the real world; world models will replace large language models

Yann LeCun stated in Seoul that the next breakthrough in AI will not come from large language models (LLMs), but from "world models" capable of understanding and predicting the physical world. He pointed out that while LLMs excel at predictable sequence tasks such as programming and mathematics, real-world information is far more difficult to predict than language; it is easy for machines to read language, but hard for them to understand the real world. He advocates developing world models so that AI can learn physical laws and causal relationships and predict the outcomes of actions.