This exploratory conceptual note examines possible relationships between liminal perception, ambiguity tolerance, and stable human–AI interaction under probabilistic conditions. The paper originated from a perceptual question concerning violet and ultraviolet light. Violet occupies the boundary of the visible spectrum, while ultraviolet radiation remains physically real but inaccessible to direct human perception. These phenomena are treated not as symbolic or psychological typologies, but as heuristic entry points into broader questions of partial representability, uncertainty, and epistemic stability. The paper proposes that advanced interaction with probabilistic AI systems may depend not only on technical prompting skills, but also on cognitive-interactional dispositions such as ambiguity tolerance, metacognitive regulation, and the ability to maintain relatively stable orientation under conditions of incomplete information and probabilistic uncertainty. Importantly, the paper does not argue that color preference predicts intelligence or AI competence. Violet and ultraviolet function here as exploratory perceptual markers rather than causal variables. The theoretical focus lies instead on interactional variability in long-form human–AI systems. The note is explicitly non-empirical and non-diagnostic. Its primary purpose is: to preserve the original conceptual architecture of the hypothesis, to define methodological boundaries, and to outline a possible future research agenda connecting liminal perception, probabilistic cognition, and human–AI interaction. The paper emerged through sustained long-form interaction within a human–AI dyadic research process and should therefore also be understood as a reflexive example of the interactional dynamics it discusses. Type of paper: Exploratory Conceptual Note.
Thomas A. Blüm (Wed,) studied this question.