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research
New AI Just Reinvented Minecraft Worlds
Two Minute Papers12 July 2026Watch on YouTube
Description
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 The paper is available here: https://xandergos.github.io/terrain-diffusion/ https://modrinth.com/mod/terrain-diffusion https://github.com/xandergos/terrain-diffusion 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Adam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Skarpness, Richard Sundvall, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi
What you'll learn
- AI can now create procedurally generated Minecraft worlds using diffusion models
- Diffusion models are trained on existing terrain data to generate new, realistic game worlds
- The research demonstrates how machine learning can transform and personalize game world generation
Frequently asked questions
How does the AI system for generating Minecraft worlds work?
The system uses diffusion models trained on terrain data. These models can then procedurally generate new Minecraft worlds by learning and applying patterns from the training data.
What are diffusion models and why are they suitable for game world generation?
Diffusion models are machine learning models that generate content step by step. They are suitable for game worlds because they can create realistic and varied environments based on learned patterns.
Where can you find more information and research materials about this project?
The research paper is available at xandergos.github.io/terrain-diffusion. There is also a Modrinth mod and a GitHub repository where you can find the code and implementation.