The Multimodal Commonsense Gap
Artificial Intelligence is shifting from unimodal specialization to multimodal generalization. Models like GPT-4V and Gemini can "see" and "speak". However, a critical gap remains.
While these models excel at Perception (identifying objects), they struggle with Commonsense Reasoning(understanding physics, social cues, and causality). They often guess based on language patterns rather than true visual understanding.
The Gap Visualization
Object Detection, OCR, Scene Classification
Physics, Social Dynamics, Temporal Causality, Spatial Logic
Four Dimensions of Reasoning
Physical
Gravity, material properties, object permanence. (e.g., "Will the glass break if dropped?")
Social
Intentions, emotions, relationships. (e.g., "Why are these people shaking hands?")
Temporal
Cause and effect, sequence of events. (e.g., "What happened before this scene?")
Spatial
Relative positioning, navigation, geometry. (e.g., "Can the sofa fit through the door?")