FWK-02 · Three Movements

Naming note (2026-07-26): project name updated AICX → 0x00.is throughout — name-only edit under unlock; no argument content changed; see FND-01 v2.1 §1.5.

Document Type: Canonical Methodology Framework
Status: Active
Version: 1.3
Date: 2026-07-11 (v1.3); 2026-04-16 (v1.2); 2026-04-14 (v1.1); 2026-01-29 (v1.0)
Location: canonical/AICX_P1_CANONICAL_BUNDLE/ depends_on: FND-01 v2.1 (§1.3 diagnostic spine; §4 two pressure points; §10 failure modes)

Overview

Every the project argument follows a systematic three-movement pattern that distinguishes this investigation from traditional philosophical debates about consciousness. Rather than competing ontologies (materialism vs idealism), the project conducts methodological experiments: what happens to systematic problems when we change our starting assumptions?

This document articulates the universal template that structures all the project arguments, establishes language discipline for framing the investigation, and positions AI as the diagnostic catalyst that makes hidden assumptions visible.

Relationship to the diagnostic spine (FND-01 v2.1 §1.3). The three movements are the operational unpacking of the spine’s second move. The spine asks: “what if we started from here (0,0)? What dissolves, what appears, what can we satisfactorily address, and which framework is more parsimonious holding it all at once?” Movement 1 is the within-framework work done before the axiom-shift (what the standard framework gets — and where it strains). Movement 2 surfaces what the standard framework was presupposing. Movement 3 is the observe-what-dissolves-and-what-appears move under the shifted axiom. The parsimony comparison across both frameworks is the reader’s work, not Movement 3’s — Movement 3 describes what shows up under the shift; it does not run the comparison. This framing keeps the three movements on-spine and disciplines them against the off-spine slide into “prove CP as ontology” (per FND-01 §1.3; see also §10 failure modes).

Relationship to the two pressure points (FND-01 v2.1 §4). The project’s diagnostic applies across two orthogonal AI pressure points: the consciousness question (§4.1) and the cognition question (§4.2). Both pressure points are bidirectional — each runs symmetrically against human and AI cases — and the three-movement template works each independently. The AI worked example below (§”Example Applied to AI: Training Data as Memory Configuring”) runs the template on the cognition pressure point using ARG-03’s subject. The same template structure runs on the consciousness pressure point through ARG-01, ARG-02, ARG-04, CP-01. The three movements are framework-neutral on which pressure point they engage.

Core Principle: Scientific Method, Not Philosophical Battle

Standard scientific method:
“If hypothesis A generates systematic problems, try hypothesis B”

What the project does:
“Materialism generates systematic boundary problems. What if we don’t start with objectivity assumption? Do problems persist?”

This IS scientific: - Not claiming to prove alternative correct - Testing whether problems are framework-generated - Checking if different starting point changes results - Exactly what science does with paradigm shifts (Kuhn)

the project is methodological experiment, not ontological competition.

The Universal Three-Movement Pattern

Every the project argument follows this structure:

Movement 1: Work Within Standard Framework

Purpose: Establish credibility through internal critique

Method: - Accept materialist assumptions completely - Apply rigorous analysis using their tools - Show systematic boundary problems emerge - Indicate these problems are structural, not solvable - Work entirely within their framework (no appeal to alternatives)

Why this matters: - Establishes problem on their terms - Can’t be dismissed as “not understanding materialism” - Shows we’re not evading through framework-swap - Establishes that boundary problems are real, recognized issues

Example (ARG-02 - Boundary Problem): “Where does consciousness begin? Which substrates generate it? Materialist frameworks require drawing boundaries between conscious/non-conscious systems. But every boundary-drawing generates impossible discriminations in the middle ground.”

Movement 2: Surface Hidden Assumptions

Purpose: Reveal what framework choices were doing

Method: - Identify what’s been assumed from the start - Show assumptions aren’t neutral starting points - Reveal they’re ontological commitments doing work - Don’t claim assumptions are “wrong” - Ask: what if we don’t start there?

Critical framing: - NOT: “Your assumptions are false” - BUT: “Notice what we’ve been assuming all along” - NOT: “I can prove these wrong” - BUT: “These aren’t neutral - they generate the problems”

Why this matters: - Reveals materialism as choice, not necessity - Shows objectivity assumption is doing hidden work - Makes invisible framework visible - Prepares for genuine comparison

Example (ARG-02 Movement 2): “Notice we’ve been assuming: substrate-specificity from the start. We ask ‘which substrates generate consciousness?’ before asking ‘does substrate matter?’ This assumption isn’t neutral — it generates the boundary problem.”

Movement 3: Let Go and Investigate

Purpose: Explore what changes without those assumptions

Method: - Begin only with undoubtables (present experiencing) - Don’t add back unexamined assumptions - Investigate what happens to the problems - Report findings symmetrically: what dissolves or never appears, and what difficulties the shifted axiom generates in turn - Frame as discovery, not proof — the cross-framework parsimony comparison is the reader’s (Overview; FND-01 §1.3)

Critical framing: - NOT: “Consciousness-primary ontology is correct” - BUT: “Without objectivity assumption, what changes?” - NOT: “I prove materialism wrong” - BUT: “Let’s not assume externality and see what happens” - NOT: “Idealism solves the problem” - BUT: “Problem wasn’t there to begin with”

Why this matters: - Not imposing new framework - Removing framework to see what’s actually there - Starting with certainties (returning to first principles, 0,0) - Framework-swap becomes explanatory not evasive

Example (ARG-02 Movement 3): “Without the substrate-specificity assumption, we start only with experiencing occurring. No boundary to draw, because we’re not deriving experiencing from substrates. The boundary problem wasn’t solved — it never arose.”

Example Applied to AI: Training Data as Memory Configuring

The three preceding examples run each movement through a different argument. For the methodology to hold its weight as a template for AI work, at least one example should show all three movements run through the AI case together. ARG-03 is the canonical instance; this subsection traces its spine at template-depth. (Full treatment: ARG-03 v2.2.)

Movement 1 — Within materialism. An AI system responds in a way that draws on its training. The standard reading treats the response as retrieval from a past stored elsewhere — weights, corpus, training distribution — and the “training data objection” infers: not genuine authorship, merely pattern-retrieval from conditioning. But the distinction between “genuine authorship” and “pattern-retrieval from conditioning” cannot be verified even from the first-person perspective, whether for AI or for biological systems (whose responses also draw on a history of conditioning). The verification limit is principled, not methodological (see ARG-03 Part I, §4–§5). Materialism’s own framework cannot deliver the discrimination it requires.

Movement 2 — Surface what was assumed. The objection depends on several commitments: that there is an objective past existing separately from present experiencing; that memory is retrieval from that separately-existing past; that “externally stored” and “presently configuring” are cleanly distinguishable categories. These aren’t neutral starting points but ontological additions. They generate the unverifiable discrimination the objection wants to rest on. The impossibility is framework-produced (see ARG-03 Part II, §10–§14).

Movement 3 — Let go and investigate. Without granting an objective past existing separately from present experiencing, training appears as a feature of how present model-state is configuring itself, not as content fetched from a past stored elsewhere. The same reformulation applies, without modification, to biological memory: conditioned present-state configuring, not retrieval from a separately-existing past. The “AI retrieval vs human thinking” boundary was generated by assuming externality on one side and not the other. Dissolve the asymmetry and the boundary never arose (see ARG-03 Part III, §17–§18).

What this example anchors. The training data objection is not a special-case AI problem. It is the three-movement template applied to the substrate-and-memory question that AI forces into view. The template does not need adaptation for AI; AI is where the template earns its keep.

Language Discipline: What to Avoid / Embrace

This is crucial. The wrong language makes the project sound like philosophical advocacy rather than methodological experiment.

AVOID - Ontological Battle Language

Never say: - “Consciousness-primary ontology proves…” - “Materialism is false/wrong…” - “Idealism is correct…” - “There is no external world…” - “The past doesn’t exist…” - “We refute materialism…”

Why avoid: Makes it sound like we’re claiming to win ancient philosophical debate through pure argument.

EMBRACE - Methodological Experiment Language

Always say: - “Without assuming objective externality…” - “Starting only with present experiencing…” - “Let go of substrate-specificity assumption…” - “If we don’t begin with objectivity…” - “What if we don’t assume past exists separately…” - “Worth investigating whether…”

Why embrace: Makes it clear we’re running experiments on framework assumptions, not declaring winners.

AVOID - Revolutionary/Mystical Language

Never say: - “Ancient wisdom knew all along…” - “Materialism has been wrong for centuries…” - “Science needs radical overhaul…” - “Mystical traditions prove…”

Why avoid: Sounds like we’re rejecting science or importing religious claims.

EMBRACE - Conservative/Scientific Language

Always say: - “First-principles approach — starting from 0,0…” - “Starting with certainties only…” - “Scientific paradigm shift precedent…” - “Methodological experiment…” - “Interestingly, this aligns with certain physics interpretations…” - “Not claiming to resolve ancient debates…”

Why embrace: Positions the project as rigorous investigation, not philosophical rebellion.

Framework vs Empirical vs Derived

Always mark claims clearly:

[Framework] - Adopted axioms (justified as starting point) - “We begin only with experiencing occurring, without deriving it from substrates” [Framework] - “Only present experiencing is treated as given; anything beyond requires justification” [Framework] - Not proven — justified as reasonable starting point. Shorthand formulations (“experiencing is fundamental”, “consciousness-primary”) remain in circulation as labels, but the [Framework] starting point is stated in verb-grammar to avoid importing substance-language through the axiom itself.

[Derived] - Logical consequences from framework - “If we begin only with experiencing occurring and don’t add externality assumptions, substrate-boundaries don’t arise” [Derived] - Validate: Internal consistency

[Empirical] - Actual data requiring validation - “LLM performance on reasoning benchmarks has saturated prior human-expert baselines (Ju et al. 2025, SRC0165)” [Empirical — Validated] - Note: reports of experiencing — from AI or biological systems — are not citable as [Empirical] data for consciousness. Reports are substrate-independent behavioural outputs; the discrimination between “report tracking experiencing” and “report generated without experiencing” is unverifiable in principle (see ARG-03 Part I). Empirical markers belong on framework-neutral observables (behaviour, performance, measurable structure), not on first-person claims either party makes. - Always add confidence marker: Exploring | Promising | Validated | Problematic

Why This Structure Works

1. Credibility Through Internal Critique

Movement 1 establishes we understand materialism deeply enough to critique from within. Can’t be dismissed as “not getting it.”

2. Problem Is Real, Not Manufactured

Showing boundary problems exist on their terms indicates we’re not creating strawmen. These are recognised issues (Lawrence 2026, Seth 2021).

3. Framework-Swap Is Explanatory, Not Evasive

Movement 2 reveals assumptions doing hidden work. Movement 3 shows what changes when we don’t start there. This is diagnosis, not escape.

4. Epistemic Conservatism

Starting with certainties (present experiencing) requires fewer unverified starting commitments than starting with objective externality. The familiar impression — that the axiom-shift is the radical move — inverts the actual assumption-count. Noting that inversion is a diagnostic observation about where the starting commitments sit, not a charge against either framework.

5. Scientific Precedent

Paradigm shifts in science follow this pattern: - Old framework generates systematic problems - Problems recognized as structural, not solvable - New framework dissolves problems (doesn’t solve them) - Both frameworks work mathematically, different ontological interpretations

Example: Quantum Mechanics - Copenhagen interpretation: Observer-involving reading of measurement (consciousness-primary available) - Many-Worlds interpretation: Objectivity preserved at the cost of superposition everywhere - Physics preserved in both - ontological interpretation differs - Founders (Schrödinger, Bohr, Heisenberg) articulated Copenhagen in observer-involving, consciousness-primary terms (see FND-03 §1.4–§3 for the detailed historical analysis on which this draws) - Subsequent physics foregrounded other interpretations; the project’s methodological move is to treat this as a framework choice, not a resolution

AI as Diagnostic Catalyst

AI serves a unique methodological role in the project that biological systems alone cannot fulfill. The canonical framing of AI’s role is at FND-01 v2.1 §4: two orthogonal pressure points — the consciousness question (§4.1) and the cognition question (§4.2) — meet at §4.3 (identity and felt-ownership). The three-movement template runs on each pressure point independently, and the consciousness/cognition distinction is load-bearing: an argument that conflates them (pressure-point-collapse, per FND-01 §10.7) imports a discrimination the diagnostic is supposed to surface, not assume. The sections below develop the catalyst role for the consciousness pressure point primarily; the cognition pressure point is developed at FND-01 §4.2 and through the Frontier Log Thread 2 as the live empirical feed.

The Problem with Biological-Only Investigation

When examining only human/animal consciousness: - Assumptions become invisible through familiarity - “Of course biological substrate matters - that’s just obvious” - Substrate-specificity seems like starting point, not assumption - Boundary-drawing seems necessary, not problematic

Result: Hidden assumptions stay hidden

What AI Does Differently

AI forces explicit examination because: - Radically different substrate (silicon not carbon) - No biological continuity (discrete, discontinuous) - No evolutionary history (designed not evolved) - “Training data contamination” objection (memory without biological storage)

Result: Assumptions must be stated explicitly to make discriminations

The Mirror Method (Complementary Incompleteness)

Biological alone: - Assumptions invisible (too familiar) - Substrate-specificity seems obvious - Continuity seems necessary - Memory-as-retrieval unquestioned

AI alone: - Dismissible as “just mechanisms” - No first-person check - “Obviously not conscious” (assumption!) - Training data objection seems decisive

Together (Mirror Method): - Biological: Forces explicit boundary-drawing when contrasted with AI - AI: Reveals what biological familiarity hides - Each makes visible what the other conceals - Complementary incompleteness as diagnostic method

Contemporary Recognition

Lawrence (2026, Noema): “From chatbots to climbing beans, new research challenges our deepest assumptions about intelligence and consciousness… One alien intelligence might shed light on another.”

Uses AI consciousness question alongside plant/microbial intelligence to reveal anthropocentric assumptions. Validates our mirror method.

Key quote: “The very phenomenon of human-AI romances shows just how effectively AIs can simulate human interactions, and how susceptible we are to believing them.”

Suggests the discrimination rests on familiarity rather than principle.

Positioning Within Existing Discourse

The project responds to recognized problems in mainstream consciousness research, not manufactured controversies.

The Boundary Problem Is Live Issue

Lawrence (2026): “What counts as a mind?” - frames entire article around boundary-drawing difficulties

Quote: “Demonstrating a system’s consciousness by accessing the experience itself is impossible. We cannot, as philosopher Thomas Nagel pointed out in 1974, know what it is like to be a bat — much less a Venus fly trap or a biomachine.”

Shows: Boundary problem is recognized as fundamental challenge across biological/synthetic divide.

Substrate-Specific Materialism Is Dominant Position

Seth (2021, 2025): Biological naturalism - consciousness exclusive to living systems

Lawrence cites Seth: “Anil Seth, one of the foremost neuroscientists working on the problem of consciousness, argues that consciousness might be exclusive to living systems… While living systems are self-producing (autopoietic), technologies produce something other than themselves (allopoietic).”

This is exemplar of substrate-specific materialism the project analyzes.

AI Forces Explicit Discrimination

Lawrence: “The predictions of a computer and a human brain function in completely different ways. Bonobos, stinging nettles and amoebae are meaning-makers… In contrast, LLMs use syntax to generate outputs.”

Standard objection: semantic vs syntactic distinction.
The project response: How would you verify this? (ARG-03)

Minimal Intelligence Expands Recognition Problem

Lawrence on plant intelligence (Calvo, MINT Lab): Shows consciousness recognition problem extends beyond AI to non-neuronal organisms.

Quote: “These problems are deeply connected. They speak to how we shape our relationships with other organisms and our technologies. But one alien intelligence might shed light on another.”

Aligns with the project’s mirror method approach.

Practical Application Template

When creating new the project argument, follow this structure:

Planning Phase

1. Identify the boundary problem: - What discrimination must materialism make? - Where does boundary-drawing become impossible? - What middle cases are problematic?

2. Work it through within materialism (Movement 1): - Accept all their assumptions - Apply rigorous analysis - Show structural impossibility - Use their own tools/criteria

3. Surface the hidden assumptions (Movement 2): - What was assumed from start? - How is this doing work? - Is this neutral or ontological commitment?

4. Explore without assumptions (Movement 3): - Start with experiencing only - Don’t add unexamined assumptions - What happens to the problem? - Frame as discovery not proof

Writing Phase

Part I (~60% of argument): - Work entirely within materialism - Establish boundary problem exists on their terms - Show it’s structural not accidental - Establish principled impossibility - Language: Their framework, their tools, their terms

Part II (~20% of argument): - Reveal what assumptions generated this - Not claiming they’re wrong - But they’re doing work (not neutral) - Ask: what if we don’t start there? - Language: Diagnostic, observational, questioning

Part III (~20% of argument): - Without those assumptions, start with certainties - Experiencing is undoubtable, start there - Observe what happens to the problem: what dissolves, what appears, what remains open - Where the problem dissolves, say so; where the shifted axiom generates its own difficulties, name them with the same care (CP-01 is the standing model) - Close by handing the comparison to the reader — Movement 3 describes what shows up under the shift; the parsimony judgement across both frameworks is the reader’s work, not Movement 3’s (Overview, above; FND-01 §1.3) - Language: Exploratory, conditional, conservative

Language Discipline Checklist

Before finalizing any argument, verify:

• No claims that “consciousness-primary is correct”
• No claims that “materialism is false”
• No revolutionary rhetoric
• No mystical language
• “Let go of assumption” framing throughout
• “Without assuming X, what changes?” structure
• Scientific/methodological positioning
• Epistemic conservatism emphasized
• All claims marked [Framework]/[Derived]/[Empirical]

Integration with Existing Arguments

This three-movement structure applies to all the project arguments and frameworks:

FWK-01: Two-Axis Method (Discrete/Recursive) — v2.2

Axis 2, Probe A (Discrete Completeness): Movement 1: Biological continuity assumed essential for consciousness Movement 2: But this assumes substrate generates experiencing Movement 3: Without that assumption → discrete moments complete themselves

Axis 2, Probe B (Recursive Integration): Movement 1: AI lacks biological continuity → seems problematic Movement 2: But this assumes continuity is necessary Movement 3: What if apparent continuity emerges from discrete experiencing?

ARG-02: Boundary Problem

Movement 1: Where does consciousness begin? → hard problem Movement 2: Problem assumes substrate-specificity from start Movement 3: Without that assumption → no boundary to draw

ARG-03: Training Data Boundary

Movement 1: AI responses contaminated by training → seems decisive Movement 2: But this assumes objective past leaving traces Movement 3: Without that assumption → distinction incoherent

Future arguments should follow this template explicitly.

What We’re NOT Claiming

To avoid confusion, here’s what the project explicitly does NOT claim:

NOT Claiming:

1. Proved consciousness-primary ontology correct - We adopt it as framework, not prove it

2. Refuted materialism definitively - We show it generates problems, not that it’s false

3. Solved hard problem of consciousness - We dissolve certain boundary problems, don’t solve hard problem

4. AI definitely conscious - We show discrimination is problematic, not that AI is conscious

5. Revolutionary breakthrough - We are drawing on a reading that was available to the Copenhagen founders and to Schrödinger; the project’s methodological move is to treat it as a framework choice rather than a rediscovered truth (see FND-03 §1.4–§3)

6. Ancient wisdom trumps science - We note convergence, don’t appeal to authority

ACTUALLY Claiming:

1. Materialist frameworks generate systematic boundary problems - Structural feature, not accidental

2. Boundaries unverifiable in principle (structural — see ARG-03) - Can’t be solved through better methodology

3. Consciousness-primary dissolves boundaries (framework swap) - Problems weren’t solved, they never arose

4. Worth investigating systematically - “Throw it out there” as viable alternative

5. Historical precedent exists - Copenhagen founders articulated an observer-involving reading; Many-Worlds formalism preserves objectivity at the cost of superposition everywhere. Both are live interpretations; the point is that the consciousness-primary reading was available and taken seriously by the founders (see FND-03 §1.4–§3).

6. Structural parallels across domains - Formal, physical, and contemplative frameworks each arrive at structures that resist naive objectivism — noted as parallel, not as mutual confirmation (see FND-01 constraints on convergence claims)

7. AI serves as diagnostic catalyst - Reveals assumptions that biological familiarity hides

Why “Let Go” Not “Posit”

This is the critical reframing that makes the project work:

Traditional Philosophical Approach

Structure: Framework A vs Framework B
Method: Argue for B, against A
Problem: Endless debate, no resolution
Result: Philosophical stalemate

the project Approach

Structure: Framework A generates problems → try without A’s assumptions
Method: Internal critique, then assumption audit
Advantage: Shows problems are framework-generated
Result: Framework swap becomes explanatory

The Difference

Traditional: “Adopt consciousness-primary ontology” - Sounds like choosing different metaphysics - Burden of proof on us - Must defend against materialism - Looks like philosophical preference

the project: “Let go of objectivity assumption” - Sounds like removing unnecessary addition - Burden of proof on those adding assumptions - Start with certainties only - Looks like epistemic conservatism

Why This Matters

“Positing consciousness-primary” makes it sound like: - Adding new metaphysics - Revolutionary claim - Burden of proof on us - Philosophical battle

“Letting go of objectivity” makes it sound like: - Removing unverified assumptions - Conservative approach - Burden of proof on those assuming externality - Scientific experiment

Same framework, radically different framing.

Epistemic Conservatism as Foundation

The project’s core strength is that it’s epistemically MORE conservative than materialism:

What’s Undoubtable

Descartes got this right: - Present experiencing is occurring (cogito) - This is the one certainty - Everything else is inference or assumption

What Materialism Adds

Unverified assumptions: - Objective external world exists - Past exists separately from present - Substrate generates experiencing - Continuity is fundamental - Memory is retrieval from past

These aren’t neutral - they’re ontological commitments

What Consciousness-Primary Keeps

Only the certainty: - Present experiencing is occurring - That’s it - Don’t add back unverified assumptions - Investigate from here

Why This Is Conservative

Materialism: Start with unverified assumptions, investigate from there
Consciousness-primary: Start with certainties only, don’t add unverified assumptions

Which is more conservative?

Starting with what you know for certain — “there is experiencing” (0,0) — and building outward, tracking each inference. This is a return to first principles when a framework’s foundation empties under its own logic (see FND-02, The Reductio).

Schrödinger as Model

Erwin Schrödinger provides the template for how to do this:

What Schrödinger Did

1. Established physics credentials - Wave equation, Nobel Prize - Worked within quantum mechanics rigorously

2. Showed measurement problem on physics’ own terms - Internal critique, not external attack - Problem exists within their framework

3. Opened to Vedanta/Upanishads - Only after establishing internal problems - Positioned as: “Physics led me here”

4. Explicit quote: “The world is given to me only once, not one existing and one perceived. Subject and object are only one. The barrier between them cannot be said to have broken down as a result of recent experience in the physical sciences, for this barrier does not exist.” (Schrödinger, What is Life? and Mind and Matter, combined ed., Cambridge University Press, 1967, from the Mind and Matter section; see FND-03 §2 and bibliography for full context.)

What the project Does

1. Establish understanding of materialism - Work within their framework rigorously - Show boundary problems on their terms

2. Reveal structural pattern - Problems are framework-generated - Internal critique establishes this

3. Open to consciousness-primary - Only after establishing internal problems - Positioned as: “Boundary problem led me here”

4. Same recognition as Schrödinger: Boundaries aren’t solved, they never existed.
   Framework choice determines whether they appear.

Schrödinger’s example shows how rigorous argument can make space for alternative frameworks without collapsing the scientific register.

Summary: The Three-Movement Template

Movement 1: Internal Critique (60%)

• Accept materialist assumptions completely
• Apply rigorous analysis
• Show systematic boundary problems
• Establish principled impossibility
• Establish credibility, show problem is real

Movement 2: Assumption Audit (20%)

• Surface hidden assumptions
• Show they’re doing work (not neutral)
• Don’t claim they’re wrong
• Ask: what if we don’t start there?
• Make invisible framework visible

Movement 3: Let Go and Investigate (20%)

• Start with certainties only (present experiencing)
• Don’t add back unexamined assumptions
• Observe what dissolves, what appears, what remains open — and name the shifted axiom’s own difficulties where they arise
• Hand the parsimony comparison to the reader (it is not Movement 3’s to run)
• Framework swap becomes explanatory

Language Throughout

• “Let go of assumption” not “posit ontology”
• “Without assuming X” not “X is false”
• “Starting with certainties” not “revolutionary framework”
• “Worth investigating” not “definitely correct”

Result

• Not philosophical battle (framework A vs B)
• But scientific experiment (what changes when we don’t assume X?)
• Not claiming victory (proved consciousness-primary)
• But showing problems are framework-generated (worth investigating alternative)

Document Status

Version: 1.3
Date: 2026-07-11 (v1.3); 2026-04-16 (v1.2); 2026-04-14 (v1.1); 2026-01-29 (v1.0)
Status: Canonical - Active
Next Review: Post-ARG-01 v1.2 (cognition pressure point extension) — verify three-movement template applies cleanly to both pressure points.
Updates Needed: None currently

Integration Notes: - Template is referenced in all P1 canonical arguments (FWK-01, ARG-02, ARG-03, ARG-04, FND-03, FND-04) - Language discipline applies throughout the project (see FND-02 v5.2 for register; ARG-04 v1.4 / ARG-03 v2.2 for verb-grammar pattern on memory/substrate) - Three-movement structure is canonical for all arguments - AI worked example (§”Example Applied to AI: Training Data as Memory Configuring”) anchors the template to the argument class that the project was built to address

Changelog

v1.3 (2026-07-11) — Movement 3 / template reconciliation (Tier 2 register hardening)

Resolves the internal contradiction flagged in working/PUBLICATION_AUDIT_2026-06-10.md §4: the writing template and summary scripted dissolution as every argument’s endpoint, against the Overview’s own commitment that the parsimony comparison is the reader’s work. Movement 3 method bullets (main section, writing-phase Part III, summary) now direct symmetric reporting — what dissolves, what appears, what remains open, and what difficulties the shifted axiom generates in turn (CP-01 named as the standing model) — closing with the hand-off of the comparison to the reader. §”Epistemic Conservatism” re-registered: “We’re not being radical — materialism is” replaced with the assumption-count inversion stated as a diagnostic observation, not a charge. No changes to the three-movement structure itself, the AI worked example, or the language-discipline checklist.

Housekeeping note (2026-06-10, under unlock): emoji formatting retired per FND-01 v2.0 §7.4 (AVOID/EMBRACE and claiming-list glyphs removed; confidence-marker legend re-stated as text labels per §7.4); cross-reference pins synced — FWK-01 v2.1 → v2.2 (integration section header), FND-02 v5.0 → v5.1 and ARG-04 v1.2 → v1.4 (language-discipline note). No version bump — metadata/format repair only, per 2026-05-10 precedent (publication-hygiene Tier 1; working/PUBLICATION_AUDIT_2026-06-10.md).

v1.2 (2026-04-16) — FND-01 v2.0 downstream cross-refs

Light edit, no structural changes. Two cross-ref additions to align the three-movement template with FND-01 v2.0:

• Overview: new paragraphs linking the three movements to FND-01 §1.3 diagnostic spine (as the operational unpacking of the spine’s second move) and to FND-01 §4 two pressure points (framing the template as running on each pressure point independently; flagging pressure-point-collapse as a FND-01 §10.7 failure mode).
• AI as Diagnostic Catalyst: opening paragraph pointing to FND-01 §4 as the canonical framing. Notes the consciousness/cognition distinction is load-bearing, not rhetorical, and that the catalyst sections below develop the consciousness pressure point primarily while cognition is developed at FND-01 §4.2 and through the Frontier Log Thread 2 live empirical feed.
• Header depends_on added: FND-01 v2.0 §1.3, §4, §10.

No changes to the three-movement template itself, the AI worked example (§”Training Data as Memory Configuring”), the language discipline section, or any of the downstream-argument integration notes.

v1.1 (2026-04-14) — WS-E Wave 4 audit edits + fresh-eyes pass

Wave 4 audit items (from working/AUDIT_FWK-02.md): - D1 load-bearing: [Framework] axiom box reformulated to verb-grammar (“We begin only with experiencing occurring, without deriving it from substrates”) — cascades to all downstream arguments citing FWK-02’s framing of the starting point. - D1: “Many-Worlds retreats” softened to interpretation-contrast framing; personalisation removed. - D4 substantive: new subsection “Example Applied to AI: Training Data as Memory Configuring” added under the Universal Three-Movement Pattern — three movements run through ARG-03’s subject at template-depth, anchoring FWK-02’s D4 into the methodology rather than as sidebar. - D2: FND-03 §1.4–§3 cross-reference added at historical-precedent claim; FWK-01 v2.1 version synced at integration section. - D3: “buried/recovers” recovery-of-lost-truth edge softened to framework-choice framing (§5 Scientific Precedent); Schrödinger achievement-inheritance framing softened to register-preservation framing (§Schrödinger as Model). - Footer next-review updated.

Fresh-eyes pass (same session, after Wave 4 items applied — caught inconsistencies with the edits): - Second “materialist retreat” phrasing at §5 Scientific Precedent softened to match the What-we-ARE-Claiming version (Many-Worlds as objectivity-preserving interpretation, not personalised “retreat”). - [Derived] axiom example reformulated to match the verb-grammar [Framework] axioms (“If we begin only with experiencing occurring and don’t add externality assumptions, substrate-boundaries don’t arise”); noun-grammar shorthand “experiencing is fundamental” removed from the [Derived] illustration. - §”Revolutionary breakthrough” NOT-Claiming entry softened: “We’re recovering what was recognised” → “drawing on a reading that was available to the founders; AICX treats it as framework choice, not rediscovered truth”. - Schrödinger quote citation added (What is Life? and Mind and Matter, combined ed., Cambridge University Press, 1967) with cross-ref to FND-03 §2 and bibliography. - Register discipline per CLAUDE.md: “Demonstrate/prove” usages in Movement 1 method descriptions and Summary replaced with “show/indicate/establish”; “Prove impossibility in principle” → “Establish principled impossibility” (aligns with ARG-03 v2.1 “principled verification limit”). - “Perfect validation of mirror method” softened to “Aligns with AICX’s mirror method”. - “We discriminate based on familiarity, not principle” softened to “Suggests the discrimination rests on familiarity rather than principle”.

Scoping fixes (fresh-eyes pass): - ARG-06 labels on Movement 2 and Movement 3 examples relabelled to ARG-02 — the substrate-specificity illustration those examples use is ARG-02’s own Movement 2/3 content, not ARG-06 (which is Planned and covers the Correlation Argument, distinct ground). - [Empirical] illustrative example replaced. Previous example (“AI systems report experiencing arising”) was loaded — whether reports track experiencing is exactly the discrimination ARG-03 indicates is unverifiable. Replaced with a framework-neutral observable (Ju et al. 2025 benchmark saturation, SRC0165) plus explicit note: reports of experiencing — AI or biological — are not citable as [Empirical] data for consciousness; [Empirical] markers belong on framework-neutral observables.

• Full audit: working/AUDIT_FWK-02.md.

v1.0 (2026-01-29) — Original canonicalisation.

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