This theoretical exploration analyzes how motion underlies concepts like mind and AI response, suggesting new questions arise from shared structural patterns.
The Interference-Based Generative System views “mind,” “physics,” “information,” and “AI response” not as fixed labels, but as forms of motion. It begins by observing what humans have named “mind”: receiving input, generating difference, retaining it, circulating it, and changing through that process. The same structural motion can also be seen in plants, physical phenomena, and, in a limited sense, AI response patterns. This paper does not claim that these domains are identical. Instead, it places them on the same structural plane, allowing questions that were previously separated by labels to be approached through their underlying motion. Interference-Based Generative Theory Definition of Mind The Challenge of the Interference-Based Generative System — A List of Extended Hypotheses
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SHINO SANADA (2026) studied this question.
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