Has Google Quietly Solved AI’s Two Oldest Problems? A Historian’s Firsthand Test
1 months ago 高效码农As someone who spends most days squinting at 18th-century handwritten archives, I recently experienced something that sent a professional shiver down my spine. It started with a subtle change in Google AI Studio—users began noticing occasional A/B tests where two answers appeared side-by-side, asking them to select the better one. This kind of testing typically precedes major model releases, and the leaked capabilities might mark AI’s transition from quantitative improvement to qualitative transformation. This post shares how I accidentally accessed this mysterious model and witnessed what can only be described as near-autonomous reasoning in handwritten historical document analysis. Every detail …
Cambrian-S: Spatial Supersensing for Robust AI Understanding
1 months ago 高效码农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 …