@connorkapoor: Building an Artificial Mechanical Engineer: All of the "AI CAD" demos you've seen have been essentially the same thing,…
Summary
A developer introduces FieldGeo, a set of AI models that encode geometry, physics, and design for manufacturing into a latent space, aiming to enhance generative design with better spatial understanding beyond traditional AI CAD approaches.
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Cached at: 08/24/26, 10:02 PM
Building an Artificial Mechanical Engineer:
All of the “AI CAD” demos you’ve seen have been essentially the same thing, a frontier lab LLM writing code that is translated by an existing geometry kernel into a 3d B-rep model.
I think this approach is fine, but generally lossy, and lacks true spatial understanding and geometric reasoning that humans naturally posses and apply when encoding their designs in a CAD system.
So I attempted to do something unique in the generative design space, building off of other generative 3d research, and trained my own (two tiny, 16M Parameter) AI models on a hyper specific set of data.
Introducing FieldGeo - a set of models that encode geometry, physics (FEA, Stress) and DFM into the same latent space, and reproduces (assisted with an additional design agent) geometries to meet the stated cases. Today, it’s just for L shaped brackets.
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