Researchers at Carnegie Mellon University have unveiled something delightfully geeky: LegoGPT, an AI model that builds Lego structures straight from text prompts.
The designs may be simple, but the possibilities are endless.
To teach LegoGPT how to construct stable models, the team generated a dataset of over 47,000 Lego structures.
Each one was paired with a caption and rigorously tested for physical stability, ensuring that the AI could reliably build designs that wouldn’t collapse in real life.
Researcher Ava Pun told: "We're dreaming of a future where making stuff becomes super personal!
It’s not the first foray into autonomous Lego construction, but the researchers say LegoGPT stands out by generating step-by-step blueprints designed to keep your builds structurally sound.
The team’s research, available on GitHub, details how the AI was trained on a dataset of more than 47,000 Lego structures, featuring 28,000 distinct 3D components.
According to the researchers, designs generated by LegoGPT were physically stable 98 percent of the time.