Gibson's technical alternative to data processing — the direct detection of structured information in the ambient array by an organism whose perceptual system has been educated through active engagement.
Information pickup is Gibson's account of how organisms know their world. The organism does not compute perception from impoverished data; it detects structure that is already present in the environment, through active exploration that samples the ambient array from multiple viewpoints. The geologist reads a cliff face the way a musician reads a score — not by inferring history from appearance but by perceiving history in appearance, because the information is structured into the rock's visible surface. This contrasts sharply with data processing, which manipulates abstract representations according to rules. Pickup is perceptual, embodied, educated through practice; processing is computational, detached, rule-governed. The distinction bears directly on what kind of understanding AI-mediated work produces.
Information Pickup
In The You On AI Field Guide
Gibson distinguished information in his technical sense from data in the information-theoretic sense. Information, for Gibson, is structured energy — patterns in the ambient array that specify environmental properties without requiring interpretation. The optic flow pattern that specifies locomotion is information. The texture gradient