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The Quiet Tide Recursive Time, Co-Evolution, and the Temporal Shape of Human-AI Transformation

Porras, Silvia · 2026
PhilArchive · Papers · 2026
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philosophy
Philosophical discourse about artificial general intelligence (AGI) is dominated by the temporality of the explosion: a sudden discontinuity, a takeoff, an event after which everything is different. This essay proposes an alternative temporal model, developed from an unlikely source — the tides of the Bay of Fundy, the most extreme on Earth — and from the author's lived experience of sustained collaborative practice with AI systems. The Quiet Tide names the hypothesis that the transformation underway in human-AI co-evolution has the temporal shape of a tide rather than an explosion: deep rather than loud, rhythmic rather than punctual, recursive rather than linear, and enormous without being violent. The essay tests its own metaphor explicitly, declaring which of its features travel into the argument (rhythm, depth, recursion, the calibrated attention of the shorebirds) and which remain on the beach at Truro (astronomical predictability). Its central conceptual contribution is the recursive structure of the tide: the ebb — the recurring withdrawal — is not regression but inscription, the phase in which what the rising water carried is written into the landscape. This recursive pattern, the essay argues, is fractal in an extended, structural sense: it repeats at the scale of a single conversation, a sustained collaboration, a model generation, and a civilization. The essay engages the strongest versions of the discontinuity thesis — including the implicit temporality of recent taxonomic work on AI existential risk — before answering them, and offers the Quiet Tide as a falsifiable characterization of the change's temporal character, not a prediction of its schedule or a settled description of what is actually happening.
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