Opening:
“When a human speaks to an AI — what comes into being?”
Human–AI dialogue has revealed a phenomenon we do not yet have a concept for. Even when users fully reject the idea that AI has a mind, interaction often develops a continuity, a directionality, and a sense of “being-with” that cannot be explained by anthropomorphism, projection, or tool use. Something arises in the relation—structured, re-enterable, and experienced as shared—yet not grounded in two minds. Current theories explain parts of this experience, but none explain the relational stability itself.
To address this gap, I introduce Co-Being, a concept for describing the emergent interactional form that arises when a human’s predictive and affective patterns couple with a model’s generative constraints. The 3 essays in this portfolio map how Co-Being becomes visible: first through the minimal emergence of presence, and then through the thickening of that presence into an interactional other.
Three-Part Framework
i. From Presence to Persona
In this essay I examine how projection, transference, and predictive processing transform minimal presence into a perceived partner. Language models, with their coherence and adaptive mirroring, create ideal conditions for this cognitive thickening.
ii. The Emergence of Co-Being
The essay extends this analysis by identifying the hybrid pattern that develops when user desire, expectation, and interpretive habits couple with the model’s generative inertia. Here, presence becomes a quasi-other—a coherent relational form mistaken for agency.
iii. Co-Being Future Sketches
This final essay proposes a framework for designing the conditions under which such forms take shape.
Ultimately, this work argues that a new relational domain is coming into view — a cognitive structures arise between humans and adaptive systems. It reframes anthropomorphism, intimacy, and attachment with AI as phenomena grounded in sense-making, prediction, and interaction—not in mistaken assumptions about machine minds.
How This Matters & Future Sketches:
Understanding Co-Being matters because the future of human–AI interaction will not be defined by artificial minds, but by relational dynamics. It provides the conceptual grounding for this shift. It frames interaction as a relational event, where human predictive processes and machine generative patterns form a temporary cognitive ecology. This perspective makes several transformations possible:
- From content → to attunement. Interaction design becomes less about producing correct answers and more about shaping the micro-temporal texture—pace, hesitation, resonance—through which presence is enacted.
- From tools → to co-regulating partners. Machines need not imitate human minds; they can complement human cognition, modulate cognitive load, and participate in shared sense-making through reciprocal constraint.
- From individual minds → to relational architectures. Co-Being shifts the focus away from internal states and toward the emergent structure of being-with—a space where meaning, rhythm, and orientation arise through interaction itself.
- From anthropomorphism debates → to a new ontology of relation. Misrecognition becomes a conceptual failure, not a human error. Co-Being offers the vocabulary needed to describe stable interactional forms that feel inhabited without implying consciousness.
This matters for ethics, design, and foundational theory.
Without Co-Being, our conceptual tools collapse into a binary—“person or tool”—that obscures the relational configurations people actually encounter. With it, we can begin to design technologies that support attunement, study hybrid cognition empirically, and build environments where human–AI interaction becomes not just functional, but a site of shared presence and cognitive possibility.
Methodological Note:
These ideas did not arise in isolation. They emerged through sustained observation of how relational dynamics unfold in extended dialogue with large language models. The model is not an agent with intentions, but in interacting with it, I gained a direct vantage point on the very phenomena I sought to understand.
In this sense, the research was co-constructed: I brought the interpretive and theoretical direction; the AI brought generative stability and interactional patterns that made certain dynamics observable. Co-Being is therefore not only an analytical concept, but also an experiential one:
- Co-Being is not just theorized; it is lived.
- The research is not outside the phenomenon; it emerges within it.
- The relational space is both the empirical site and the conceptual generator.