This recent article on Emerge argues that the current wave of AI, largely driven by large language models, has hit a ceiling. According to Fei‑Fei Li and her report, what’s missing is spatial intelligence: the ability for machines to internalise and reason about physical space, objects, and dynamics rather than just manipulate symbols. The so-called “world models” are systems designed to generate, simulate and predict the unfolding of three-dimensional environments that obey physical laws and evolve over time.
These world models are described as the gateway to machine intelligence that can move, perceive, create and navigate in real-world settings. In practice they promise breakthroughs for robotics, immersive creation tools, scientific simulation and healthcare automation. But there’s also a philosophical point: Li draws a parallel between how humans developed spatial and sensory awareness long before language, suggesting that AI must follow a similar path if it is to genuinely understand and act in our world.
This article paints a compelling picture of what the frontier will look like: not bigger language models alone, but models that live in, predict, and shape the physical world.