Beyond LLMs: The Promise and Limits of World Models

Simulating everything, sort of: The promise and limits of world models

I explore how the AI landscape is shifting from large language models to world models capable of simulating physical environments. Experts like Yann LeCun and Fei-Fei Li argue that while LLMs are eloquent, they lack spatial grounding. Companies such as World Labs, Runway, and Google DeepMind are pouring billions into these technologies to enable real-time interaction for robotics and 3D asset generation, marking a potential new frontier beyond the current LLM bubble.

"Today, leading AI technology such as large language models (LLMs) have begun to transform how we access and work with abstract knowledge. Yet they remain wordsmiths in the dark; eloquent but inexperienced, knowledgeable but ungrounded."