Cambrian-S: Spatial Supersensing for Robust AI Understanding

Cambrian-S: Teaching AI to Understand Space Like Humans Do – A Deep Dive into Spatial Supersensing Imagine asking a home robot to “find the coffee mug you saw on the kitchen counter three hours ago.” For humans, this is effortless—we maintain an implicit mental model of our environment, effortlessly tracking objects and spaces over time. For today’s AI systems, this seemingly simple task remains nearly impossible. Most video AI models excel at describing what’s directly in front of them but struggle to build persistent, structured understandings of 3D space that survive viewpoint changes, occlusions, and long time gaps. This article …