Perspectival Noise

📝 In Shannon’s classical information theory, noise is always bad: any deviation from the intended signal that the channel introduces is degradation to be minimized. Abraham Moles identified a class of deviation that turns this logic inside out. When a human encoder brings her specific biographical formation—her obsessions, her angles of vision, her particular way of seeing that no other consciousness shares—she introduces distortions that are, from the standpoint of pure signal transmission, noise. But these distortions carry information. They carry the information of a perspective, and perspective is precisely what statistical processing cannot manufacture. Perspectival noise is therefore the most valuable input the human encoder can provide to a compound channel: the raw material of aesthetic information, the engine of the supersignal, and the only defense against the AI channel’s systematic tendency toward the statistical mean. The compound channel cannot generate perspectival noise on its own; it can only amplify or smooth the perspectival noise the human brings.