Generative AI can spit out a Lego set concept, but chances are high it won’t adhere to the laws of physics. That’s where this chatbot from a team at Carnegie Mellon comes in.
A group of computer scientists at Carnegie Mellon University is applying generative AI to Legos with “LegoGPT”, which can produce a Lego block design based on the user’s text input.
“Our experiments show that LegoGPT produces stable, diverse, and aesthetically pleasing Lego designs that align closely with the input text prompts,” they wrote in a paper published this week.
However, this isn’t your average AI image generator, which spit out any image you request. The difference is that LegoGPT creates “stable” 3D Lego designs that respect the laws of physics.
The paper notes that most AI-powered 3D object generation doesn’t translate into the real world because the “objects may be difficult to assemble or fabricate using standard components” or “the resulting structure may be physically unstable even if assembly is possible.
