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, an Interactive World Model(4 posts)→
More from Embodied
- MiniMax-H3 Runs Locally on Radeon 8060S iGPU: 5.17s Video with Native Audio — ShamanFlamingoFR · 2026-09-02
- Tesla Cybercab Launching This Week, Challenging Waymo — JOBhakdi · 2026-09-02
- Zeroth launches 8888 RMB backflipping humanoid robot 'Little Bridge' — 新智元 · 2026-09-02
- Upcoming meetup for women in robotics in India — alysha_lobo · 2026-09-02
- AndroidWorld: Why mobile agent benchmarks are broken and how to fix them — East-Muffin-6472 · 2026-09-02
- GoatRemote update: AI voice commands for Mac via Siri Remote — mayfer · 2026-09-02