This article delves into the process of using AI to generate 3D models, focusing on the strengths and weaknesses of language models in creating accurate and functional designs. By comparing the outputs of Claude Opus 4.8 and GPT-5.5, the author explores how these models can write code to produce 3D printable parts, highlighting the importance of parametric design and iterative refinement.

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