MiniMax H3-World Converts LLM to World Model with Just 8K Samples
Hailuo_AI · x · 2026-09-02
Hailuo AI shares the H3-World project, which proposes a novel embodied AI approach. Instead of training a separate action head, it directly utilizes MiniMax-H3's pretrained language understanding for world control. The experiment used only 8K samples and less than 0.2% trainable parameters. This suggests future systems might reuse LLM understanding directly, eliminating the need to train perception and control modules from scratch.
Related event: MiniMax Unveils H3-World, Its First Interactive World Model(6 posts)→
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