“What you see is what you get” is a guiding principle for many software engineers — create programs where the content you’re editing looks the same as the final product. But when you’re using generative artificial intelligence systems to 3D print, say, a mug, you’ll likely get a cup that can’t hold your coffee. Why is that?The issue is that AI models understand how an object should look, but not how it works, leading to impractical designs that undermine an item’s intended use. Even if you want to fix these errors, the models are typically hard to edit, especially for users new to 3D design.A new approach called “InstructMesh” makes it much easier to design and print household items, accesso...