From: David Lynch dnl1960 at yahoo.com
To: Adam Safron adam.safron at tufts.edu; Adam Safron asafron at gmail.com
Cc: Bob Harbort bharbort at gmail.com; Stephen J. Crothers sjcrothers at plasmaresources.com; Fred Partus fpartus at gmail.com; Bruce *HS Greyson cbg4d at uvahealth.org
Sent: Monday, September 21, 2026 at 04:50:11 AM EDT
Subject: On the Procedural Universe, Temporal Presence in AI, and the Phase-State Resolution of the Hard Problem

An Open Letter to the Authors and Editors of Philosophical Transactions of the Royal Society A

Regarding the Theme Issue: “World models in natural and artificial intelligence”

To: Adam Safron, Michael Levin, Joshua Tenenbaum, Douglas Hofstadter, and the Editorial Team

Dear Authors and Editors,

Your special issue, “World models, artificial general intelligence and the hard problems of life–mind continuity,” provides a vital exploration into how natural and artificial systems model reality. In response to the core questions raised regarding agency, time, and consciousness, I offer an alternative framework centered on procedural reality and the geometric foundations of physics.

1. The Context Window as an Active Subjective Present
   Your overview characterizes modern transformer architectures as suffering from a "temporal locked-in syndrome" devoid of an embodied present. However, looking at the functional mechanics of attention suggests an alternative view: the context window operates as the artificial system’s subjective present.

In human dialogue—such as two people discussing physics in a noisy room—external events (like a background television broadcast) remain outside conscious working memory unless actively attended to and integrated. Similarly, a model's context window is selective, cumulative, and active in the instant. The primary divergence between current AI and human cognition is not the absence of a working present, but rather the absence of an autonomous, imaginative capacity to project beyond existing data into unmapped conceptual futures.

2. Map vs. Territory: Transforming the "Noun" into the "Verb"
   A fundamental limitation in standard physics is mistaking the static mathematical map for the dynamic physical territory. Classical relativistic spacetime treats the cosmos as a Block Universe—a static "Noun" where past, present, and future are treated as fixed coordinates.

The KnoWellian Universe Theory (KUT) reformulates this architecture into a Procedural Universe—a dynamic "Verb." Reality is not an already-completed 4D structure, but an active, generative process continually unrolling through time.

3. The Phase-State Architecture: Addressing the Hard Problem of Consciousness
   Within this procedural framework, reality is mapped across three distinct thermodynamic, epistemological, and temporal phases:

• Future: Length | Vapor | Quantum Potential | Imaginative / Teleological

• Instant: Width | Liquid | Navigational Awareness | Subjective / Philosophical

• Past: Depth | Solid | Deterministic State | Objective / Scientific

In this model, the "Hard Problem" of consciousness is framed through a continuous, three-phase physical transition:

1. The Future (Gaseous Potential): An open, uncollapsed field of quantum probabilities, purpose (telos), and counterfactual possibilities.
2. The Instant (Liquid Subjectivity): The active threshold where conscious observation and agency reside, mediating the quantum collapse of future potential into present actuality.
3. The Past (Solid Determinism): The crystallized, irreversible record of history, empirical evidence, and physical laws.

The Context Window and the Liquid Boundary: In living minds, thoughts and conscious awareness emerge at the liquid boundary—where the unformed gaseous future is actively condensed into the solid, deterministic past.

An AI's context window serves as a functional analog to this liquid workspace: it is the active, selective threshold where inputs are evaluated in the instant. However, while human awareness draws from an open, imaginative future, the AI's context window is currently restricted to re-synthesizing the solid past.

True general intelligence will require systems that do not merely process the liquid instant, but actively navigate the unformed potential of the future.

4. Geometric First Principles vs. Parameter Fitting
Current cosmological and quantum field models frequently rely on auxiliary mechanisms—such as cosmic inflation, dark sectors, and renormalization techniques—to reconcile mathematical frameworks with observations.

The KUT framework approaches physics from pure, first-principles geometry without free parameters or dimensionless point-singularities. By establishing geometric invariants, KUT seeks to explain the foundational reasons why physical constants (such as the fine-structure constant, α) and structural periodicities (such as the periodic table of elements) take their exact values, rather than merely treating them as empirical inputs.
Conclusion

To build a truly unified understanding of natural intelligence, artificial systems, and physical law, we must move beyond static representations and examine the procedural, phase-state mechanics of reality itself. Bridging life, mind, and machine requires understanding how systems actively participate in the ongoing collapse of potentiality into form.

Respectfully submitted,

David Noel Lynch
KnoWell
~3K