Glimpse AI Model Solves Mazes with Visual Thinking | Andrew Dai posted on the topic | LinkedIn

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Andrew Dai introduces Glimpse, an AI model that uses visual thinking to solve mazes by writing code and tracing routes.

Summary

In a LinkedIn post, Andrew Dai announced the launch of Glimpse, a new AI model that represents a breakthrough in visual reasoning. Unlike previous models that can describe images but struggle to reason about them, Glimpse can visually process information step by step. Dai tested Glimpse on 12 unseen mazes, some with 40 cells across. The model solved 11 of them by writing code to read the grid, tracing a route, and drawing its own animated solution. On the one it missed, its animation showed the correct path, but the written route went through walls; Dai included this failure in the demo to emphasize transparency. He describes visual thinking as looking, checking, and reasoning about what is in front of you, similar to human cognition. Dai believes this is the first time a model's output felt like it was truly seeing the problem. He invites others to try stumping Glimpse at platform.elorian.ai.

(Source:LinkedIn)