SOURCE-LINKED INTELLIGENCE
Can MiniMax-H3 Reason About the Physical World? An Evaluation of Omni-Modal Generative Model
Recent Omni-Modal Generative Models (Omni-Models) have advanced content generation toward unified modeling of text, images, video, and audio. MiniMax-H3 exemplifies this transition by combining multimodal context understanding with joint audio-visual generation in a shared latent framework. Its unified architecture raises a fundamental question: Can multimodal alignment improve the model's world reasoning, and what new evaluation paradigms do omni-modal inputs enable? To investigate this question, this work introduces a comprehensive evaluation framework organized around four complementary dim
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T08:43:11.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.