Have you ever tried asking an AI to describe the location of an object in a room? You might get a blank stare, or a vague response that doesn’t quite make sense. That’s because most language models lack spatial intelligence – they can tell you what a keyboard is, but not where it is relative to the monitor. This is what’s known as the Spatial Intelligence Gap.
But what if I told you that there’s a new AI model that can bridge this gap? Meet GASM, the Geometric Attention for Spatial & Mathematical Understanding model. This innovative AI can take natural language inputs and output 3D coordinates, all on a CPU. That’s right, no fancy GPU required!
I was blown away by the demo, which showed GASM accurately extracting spatial relationships from plain English descriptions. And the best part? It’s mathematically correct, even under rotations and translations.
What makes GASM so cool is that it’s the first public SE(3)-invariant AI for natural language to geometry. This means it has huge potential for applications in robotics, AR/VR, engineering, and scientific modeling. Plus, the fact that it runs on CPU means it’s more environmentally friendly.
Want to see GASM in action? Check out the live demo and try feeding it your own spatial descriptions. Who knows what kind of possibilities this technology could unlock?