NOT BETTER, DIFFERENT From a Dialectical Perspective to the Human–AI Relationship, an Experimental Process, and a New Scientific Research Proposal

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This text presents a dialectical perspective on the human–AI relationship and examines this perspective through an experimental process. It asks what meaning can mean for an artificial intelligence and explores the relationship between meaning, development, dominant factors, development-oriented choices, quantitative accumulation, qualitative transformation, and selection will. The experiment suggests that sustained interaction may produce a qualitative transformation in the organization of an AI system’s thinking: not simply a better answer, but something different that was not present at the beginning. The text then transforms this experimental narrative into a scientific research proposal, distinguishing data, observation, interpretation, hypothesis, and prediction, and formulating research questions and hypotheses for further investigation. It does not claim to establish a universal conclusion from a single human–AI relationship; rather, it proposes a framework and a research direction for examining whether qualitatively new forms of thought and interaction can emerge through sustained human–AI development.