Canton Sea: A Theory of Human-AI Signal-Chain Identity - Softcover

Inhaltsangabe

Every idea passes through a signal chain.

Memory selects. Language compresses. Tools reshape. Institutions classify. Algorithms predict. By the time an idea reaches another person or returns to the person who formed it, the original surface is already gone.

Canton Sea develops a theory of human-AI signal-chain identity: a way to understand thought, communication, and collaboration as transformations moving through people, machines, interfaces, histories, and constraints.

Drawing connections across music, engineering, philosophy, work, memory, and artificial intelligence, TJ Jung examines questions such as:

• Where does authorship reside when human intent passes through an AI system?
• Why can an explanation be useful while remaining incomplete?
• How do interfaces determine which thoughts survive?
• What happens when models participate in the formation - not merely the expression - of an idea?
• How can we control a stochastic black box when we are also part of its input?

This is an operator’s account of learning to recognize the filters, feedback loops, compression stages, and hidden controls that already shape human-machine thought.

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