Sakana AI Trains Generative Models on Billions of Minecraft Cubes
SimonGColton · x · 2026-07-30
Sakana AI, in collaboration with NYU, released a new research project called "Dream-Cubed." The study explores training large generative models on Minecraft maps to achieve controllable 3D world generation.
Key Concepts:
- While LLMs rely on words as natural compositional units, video games like Minecraft use discrete primitives like cubes and tiles to build interactive worlds.
- The research demonstrates that using cubes as tokens allows large transformers to achieve scalable training similar to language modeling.
By training on billions of cubes, the model achieves highly controllable generation capabilities, opening a new frontier for human-AI co-creativity.
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