As an engineer I just wanted to pipe in and say that this AI removes the part of design that isn’t actually the difficult part.

The difficult part is the manufacturing, also coming up with the plausible load paths and deciding on the geometry of the parts according to the actual loads.

> Given an image or a 3D mesh, SGS-1 can generate CAD B-Rep parts in STEP format. Unlike all other existing generative models, SGS-1 outputs are accurate and can be edited easily in traditional CAD software

This is a game changer, all the models before that output meshes were a toy at best. Super excited to see where they can take this.

I wander if the next step is for a step -> proprietary format (SolidWork, NX etc) model that can infer constraints.

Depending on pricing, this could be a boon for 3D printing. The really hard part for hobbyists creating novel models has been the CAD. If they can price this appropriately I can see it selling really well.

this doesn't make sense from a theoretical pov at least to me. like is it also defining tolerances etc?

I tried one of the samples and it wasn't watertight, with spurious little holes in the corners. Still mind-boggling though, and that can be healed easily enough.

I think the demo is cool, but the single most important question is how good it is at converting written constraints into the design.

Designing something that has the right features is easy, the hard part is creating a design that is manufacturable, fits inside the allocated space, has the desired mechanical properties (e.g. rigidity) at the desired cost (uses less material, is easy to manufacture).

As an example, parts for 3D printing have various design constraints, as you want to avoid support material and want to print the part in a certain orientation. Being able to verbally tell an AI model to incorporate these constraints would be very beneficial.