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spatial intelligence

noun

In plain wordsThe ability to understand, imagine and act in three-dimensional space and the physical world — effortless for people, and treated by many AI researchers as the next big goal after language.

  1. In AI, the capacity of a system to perceive, represent, reason about and act within three-dimensional space and the physical world — understanding geometry, objects, motion and physical cause and effect — as opposed to manipulating text. Fei-Fei Li, who popularized it as a research goal, argued that it requires world modelsworld model, n.: An AI's internal simulation of how its world works, which lets it predict what will happen next — especially in response to its own actions — and so plan, imagine or practice without acting for real. that are generative (producing consistent simulated worlds that obey geometry and physics), multimodal (able to take in any mix of text, images, video, depth maps, gestures or actions) and interactive (predicting the next state of the world given an action). It is pursued through 3D generation, scene reconstruction such as Gaussian splattingGaussian splatting, n.: A way of turning photos of a real place into a 3D scene made of millions of tiny, soft, colored blobs that can be viewed from any angle in real time, even on a phone or headset., video world models and embodied AIembodied AI, n.: AI that has a body, usually a robot and sometimes a simulated character, and learns or acts by sensing and moving in a world rather than only processing text or images., and is considered essential for robotics, design and scientific simulation.

    Our chatbot can describe a kitchen perfectly, but it has no spatial intelligence about where the mug actually is.

Origin

Borrowed from psychology, where Howard Gardner listed spatial intelligence among his multiple intelligences (1983). Fei-Fei Li made it the mission of World Labs, founded in 2024, and set out the agenda in the essay 'From Words to Worlds: Spatial Intelligence is AI's Next Frontier' (10 November 2025), as the company prepared the wider release of its world model Marble.

Related

See also
  • world modelworld model, n.: An AI's internal simulation of how its world works, which lets it predict what will happen next — especially in response to its own actions — and so plan, imagine or practice without acting for real.
  • embodied AIembodied AI, n.: AI that has a body, usually a robot and sometimes a simulated character, and learns or acts by sensing and moving in a world rather than only processing text or images.
  • physical AIphysical AI, n.: AI built to work in the physical world rather than on a screen: the intelligence inside robots, self-driving cars, drones and other machines that must sense real surroundings and move through them.
  • Gaussian splattingGaussian splatting, n.: A way of turning photos of a real place into a 3D scene made of millions of tiny, soft, colored blobs that can be viewed from any angle in real time, even on a phone or headset.
  • neural radiance fieldneural radiance field, n.: A way of capturing a real scene from a set of photos as a small neural network that can then show the scene from any new viewpoint, as if moving a camera through it.
  • Fei-Fei LiFei-Fei Li, prop. n.: A Chinese-American computer scientist whose ImageNet project, millions of hand-labeled photos, gave deep learning the proving ground that launched its boom; she now champions 'human-centered' AI.

Sources

  1. Li, F.-F. (2025). From Words to Worlds: Spatial Intelligence is AI's Next Frontier. Substack, 10 November 2025. drfeifei.substack.com/p/from-words-to-worlds-spatial-intelligence