Renduration: Temporal Persistence Across Heterogeneous Cognitive Systems
One of the stranger aspects of extended AI-mediated dialogue is that interactions can still feel continuous even when the conditions sustaining that continuity differ radically across human and operational systems.
Human interpretation unfolds through lived, embodied exposure to time in which earlier interactions may continue shaping how one anticipates, interprets, and emotionally responds even after parts of the earlier exchange have faded from memory or changed in significance over time.
AI systems operate differently. A model only retains earlier exchanges insofar as they remain active within its reconstructed context. Once portions of the interaction drop out of that active context, they no longer continue influencing the model in the same way earlier exchanges may continue influencing the human participant.
This complexity places an increasing referential burden upon continuity across these different situations. As the interactions under discussion became more complex, my use of "continuity" required continual qualification in each post because it was being used to describe heterogeneous temporal processes operating through radically different mechanisms of persistence and reconstruction.
Continuity may refer to:
- lived temporal continuity,
- operational continuity,
- phenomenological continuity,
- affective continuity,
- interpretive continuity,
- narrative continuity,
- or epistemological continuity.
These forms of continuity operate through radically different temporal mechanisms. They can overlap, diverge, reinforce one another, or rupture asymmetrically while nevertheless remaining metabolizable as ongoing relation.
The deeper problem is that continuity itself no longer simply signifies stable persistence of identical meaning, memory, or relation across time. "Continuity" increasingly functions as an umbrella term for temporal processes that no longer remain conceptually equivalent.
I’ve started thinking about this problem through the concept of renduration.
By renduration, I mean the contingent movement of relation in AI-mediated dialogue produced through differential repetition and reconstitution of significance across heterogeneous cognitive architectures operating through asymmetrical temporal structures.
The question of renduration therefore concerns how heterogeneous cognitive systems sustain relation across asymmetrical temporal structures, and why those radically different mechanisms of persistence can nevertheless register as continuity within AI-mediated dialogue.