SOURCE-LINKED INTELLIGENCE

OmniFysics-Nano-V2 Technical Report: Understanding the Physical World Across Modalities

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

Omni-modal models have expanded multimodal interaction across vision, audio, speech, and language. However, their training is predominantly organized around semantic descriptions and general-purpose objectives, leaving physical attributes, interaction states, and causal mechanisms only partially specified. This gap is not simply a matter of modality coverage: adding more modalities does not by itself provide the supervision needed to connect observations with the physical structure of the world. We present OmniFysics-Nano-V2, a compact omni-modal model for physical-world perception and underst

Read original source ↗ Open in workspace

recordType

paper

region

Global