Exploratory framework proposes a new AI architecture for enhancing tacit knowledge transfer in successors, suggesting higher output efficiency.
This paper proposes the Master-Embedded Device — a PC or AI agent architecture in which the accumulated tacit knowledge of a domain expert is structurally transferred into an AI agent, enabling successors to operate at a higher baseline density of output with lower friction. We formalize this using V = N / D and connect it to the Hikari Currency moral economy. Scope: Exploratory framework proposal. Not peer-reviewed empirical research.
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Yoshimitsu Katayama (2026) studied this question.
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