CAD

A bracket looks simple until someone has to manufacture it. On a screen, a generated part can look almost right: the flange appears round, the bolt holes seem evenly spaced, and the central bore is visible enough to satisfy a casual glance. Then a machinist opens the file, measures it, and discovers the inconvenient details: the wall thickness is wrong, a boolean cut failed, two solids merely touch instead of joining, or the bounding box is off by a few millimeters. ...

The compiler is the interesting part Blocks are easy to understand. That is why this paper is more interesting than it first looks. At the surface, Prompt-to-Parts: Generative AI for Physical Assembly and Scalable Instructions is a paper about using large language models to generate LEGO-style assemblies from natural language prompts.1 It shows a medieval castle, an International Space Station model, a modular multitool kit, and an image-to-parts helicopter conversion. Naturally, the tempting summary is: “LLMs can now design LEGO models.” ...