Design Arena maps topics in two models' reasoning while building Three.js games
Overview
Design Arena published an analysis of the thinking traces two models produced while building Three.js games.
The post, shared on X by Design Arena, says it split the traces into more than 800,000 sentences, embedded them with OpenAI's text-embedding-3-large, reduced them with UMAP, and grouped them into topics with HDBSCAN. It compares how much of each model's thinking falls into each topic.
The post is based on a single X announcement and does not name the two models or report the topic breakdowns in the text provided.
Written by AI from the articles below · updated Nov 2, 1:10 PM ET
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DesignArena@DesignArenaOfficialDesign Arena maps how two models think while building Three.js gamesAIDesign Arena segmented the thinking traces of two models building Three.js games into more than 800,000 sentences. It embedded each sentence with OpenAI's text-embedding-3-large, reduced them with UMAP, and grouped them into topics using HDBSCAN. The post compares how much of each model's thinking falls into each topic.

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