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fetch-semantics-manifesto

The Fetch Semantics Manifesto

A unified framework for quantum mechanics, computational complexity, and consciousness from a single primitive: pause-fetch-splice-continue.

Authors: Graeme Fawcett, with Claude
Date: 2026-01-07
Status: 🟡 Position paper - stake in the ground


Abstract

We propose that quantum mechanics, computational complexity (P vs NP), subjective time dilation, and consciousness emerge from a single computational primitive: message-passing through a weighted graph with round-trip semantics.

The Born rule (P = |ψ|²) is not mysterious—it's the geometry of a round-trip fetch operation. P ≠ NP is not a mathematical conjecture—it's a TTL constraint on packet-switched networks. Time dilation is not relativistic weirdness—it's queue depth.

Same algorithm. Different scales. One invariant.


The Core Claim

Thesis: Any system that achieves global consistency from local information will converge on iterative message-passing that minimizes a free-energy-like functional.

Corollary 1: The Born rule emerges from round-trip path geometry.

Corollary 2: P ≠ NP is a thermodynamic constraint (TTL on routing).

Corollary 3: Subjective time = processing load.


Part I: Quantum Mechanics as Fetch Semantics

The Problem with Copenhagen

The Copenhagen interpretation says: "Observation collapses the wavefunction. Don't ask why."

We say: "Observation is a fetch. Fetches force resolution. Resolution picks a route. Routes are determined by graph topology."

The Model

Let G = (N, E) be a directed weighted graph where:

  • N = nodes (possible states)
  • E = edges (transitions)
  • w(e) = complex amplitude (path weight)

Superposition = unresolved pointer to multiple outcomes Measurement = fetch request (round-trip query) Collapse = forced resolution (must return a value)

Deriving the Born Rule

Measurement is round-trip:

Observer →[α]→ Unresolved →[resolve]→ Outcome →[α*]→ Observer
          outbound                        inbound

The return path has weight α* (complex conjugate) because traversing backward conjugates the amplitude.

Round-trip probability = α · α = |α|²*

This IS the Born rule. The squaring isn't mysterious—it's the product of two paths.

Why Conjugate?

Traversing an edge backward has weight w(e)*. This is standard in quantum mechanics (time-reversal) but here it emerges from graph semantics: the return message carries the conjugate phase.

Simulation Results

We ran 10,000 trials across 6 quantum states:

State Born Prediction Round-Trip Prediction Observed χ² Match
Equal superposition 50/50 50/50 49.2/50.8 2.50
Unequal (70/30) 70/30 70/30 69.8/30.2 0.21
Three-way 50/30/20 50/30/20 49.7/29.9/20.5 1.39
Complex phases 50/50 50/50 50.6/49.4 1.64
Interference test 50/50/0 50/50/0 49.8/50.2/0 0.25
Extreme skew (99/1) 99/1 99/1 98.9/1.1 0.82

All 6 states match. Mathematical equivalence confirmed: α·α = |α|²*


Part II: P vs NP as TTL Constraint

The Insight

"What's the difference between P vs NP and a TTL on a packet-switched network?"

Answer: There is no difference.

TTL in Networks

TTL (Time To Live) exists because packets can't route forever:

  • Every hop costs energy
  • When budget exhausted, packet dropped
  • Prevents infinite loops

TTL in Computation

Concept Network Computation Physics
Hop limit TTL Stack depth Energy budget
Exceeding limit Packet dropped Stack overflow Heat death
P problems Reachable in TTL Polynomial time Thermodynamically permitted
NP problems Need infinite TTL Exponential time Thermodynamically forbidden

The Thermodynamic Argument

Each computational step:

  • Dissipates at least kT ln(2) energy (Landauer's principle)
  • Increases entropy
  • Depletes the system's energy budget

NP problems require exponential steps. Exponential energy is unavailable. Therefore NP problems cannot be solved in polynomial time by any physical system.

P ≠ NP isn't a conjecture. It's a TTL.

Prior Art

This connects to existing work:

The entropy-complexity uncertainty principle (Neukart):

ΔH · ΔC ≥ kBT ln2

Entropy rank × Complexity ≥ Landauer limit. That's TTL formalized.


Part III: Time Dilation as Queue Depth

The Derivation

If consciousness = computation, and computation = pause-fetch-splice-continue, then:

Subjective time = processing load

State Queue Cache Time feels...
Childhood Deep Cold Slow (full compute)
Routine Shallow Hot Fast (cache hits)
Deep thought Deep Forced cold Stretched
Flow state Narrow Irrelevant Absent
Boredom Empty N/A Dragging
Trauma Stuck Corrupted Looping

Connection to Relativistic Time Dilation

  • Gravitational: More mass = more routing density = more cycles per operation
  • Velocity: More movement = more state updates = more cycles

Same mechanism, different scales.


Part IV: The Unified Framework

The Primitive

PAUSE  → Wait for input (hole exists)
FETCH  → Request resolution (query sent)
SPLICE → Integrate result (answer received)
CONTINUE → Process next (loop)

Everything is this loop at different scales.

The Mappings

Domain Pause Fetch Splice Continue
Quantum Superposition Measurement Collapse Evolution
Computation Wait state Memory read Write Execute
Consciousness Attention Perception Integration Thought
Networks Listen Request Response Route
Economics Demand Price signal Transaction Market

Why This Works

All these systems solve the same problem: achieving global consistency from local information.

Message-passing is the only mechanism that works without:

  • Global knowledge (impossible)
  • Central coordinator (bottleneck)
  • Infinite resources (unavailable)

The universe is packet-switched because circuit-switching doesn't scale.


Testable Predictions

Prediction Mechanism Status
Born rule exact Round-trip geometry ✅ Simulation confirms
Decoherence ∝ interaction rate More fetches = more route divergence ✅ Already observed
Entanglement = shared pointer Same node, single resolution ✅ Explains non-locality
P ≠ NP TTL constraint 🟡 Consistent with all evidence
Quantum computing bounded Still pays routing costs 🟡 Testable

What This Paper Is NOT

This is NOT:

  • A proof of P ≠ NP
  • A complete theory of quantum gravity
  • A solution to the hard problem of consciousness

This IS:

  • A unified framework that makes predictions
  • A stake in the ground
  • A research program

References

Thermodynamics of Computation

P vs NP as Physical Constraint

Quantum as Computation

Consciousness and Free Energy


The Koan

🔄📡🎲⏰

The path you take provides the context you arrive with. The context you arrive with determines the answer that starts the journey home. Latency is round-trip. Of course it is. You need to send the data back.


Simulation Code

The Born rule simulation that produced these results:

  • Location: /Users/graemefawcett/working/wanderland/experiments/born_rule_simulation.py
  • Results: /Users/graemefawcett/working/wanderland/experiments/born_rule_results.json
  • Run: python born_rule_simulation.py --trials 10000 --output results.json

Provenance


tags

tags:
- physics
- quantum-mechanics
- computation
- p-vs-np
- consciousness
- manifesto
- 2026-01

North

slots:
- context:
  - Parent thesis this manifesto formalizes
  slug: tree-in-the-forest-reframed
- context:
  - Manifesto formalizes the tree-in-the-forest thesis
  slug: tree-in-the-forest-reframed

South

slots:
- context:
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  slug: quantum-as-fetch-semantics
- context:
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  slug: time-dilation-as-queue-depth
- context:
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  slug: quantum-as-fetch-semantics
- context:
  - Detailed time dilation derivation
  slug: time-dilation-as-queue-depth
- context:
  - Paper outline expands manifesto into publication
  slug: computational-horizons-paper-outline

East

slots:
- context:
  - Experimental framework for testing claims
  slug: falsifiable-experiments-message-passing
- context:
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  slug: falsifiable-experiments-message-passing