Rigorous technical
Parts I–VII, X (corrected), Exhibits A–E
Substrate, morphisms, temporal taxonomy, geometric realization with panel corrections.
Third Edition · Revised Under External Panel Review
Design Patterns — Foundations of Self-Extending Computational Intelligence
Twenty load-bearing design patterns over an IFIS substrate — dual-system build (transformer proposer + discrete verifier), with falsifiers tiered testable-today / requires-tooling / regulative-ideal.
Christian Law T. Sumalpong Dixon, Omni LLC · Analytical synthesis by Claude (Anthropic) · April–May 2026 · v3.0
Integrated white paper (Volumes I–XV + Exhibits A–F). Implementation per Part XII; empirical claims per Part XIII. Not a substitute for measured runtime results.
How to read the corpus
Volume One consolidates seven prior documents. The third edition absorbs external panel and academic review — Pattern 16 operational definition (§9.7), Three Sevens analysis (§10.8), falsifier tiering (§11.4), MVP (§12.11), and Exhibit F reconciliation.
Architectural proposals
Parts VIII–IX
Constellation glyphs, Hilbert tensor framing, Feynman event calculus — design philosophy with implementation hooks.
Synthesis & build
Parts XI–XII
Twenty patterns, workstation-scale blueprint, MVP §12.11 gates the full build.
Empirical commitment
Part XIII
Five combined falsification handles — pre-registered before training.
Twenty design patterns
Tier column follows §11.4: 1 = testable today, 2 = requires Part XII tooling, 3 = regulative ideal (trained model).
- Pattern 1 · Tier 2
- The Triple Substrate
- Pattern 2 · Tier 2
- The Three-Tier Refinement
- Pattern 3 · Tier 1
- The Six Memory Primitives
- Pattern 4 · Tier 1
- The Conservation Law Pattern
- Pattern 5 · Tier 2
- Self-Reference Closure (Definitional Equivalence)
- Pattern 6 · Tier 2
- The Monotonic Rewrite
- Pattern 7 · Tier 2
- Heptadic Relational Base (Conditional)
- Pattern 8 · Tier 1
- Boolean Closure on QF Signature
- Pattern 9 · Tier 2
- The Pushforward Morphism Layer
- Pattern 10 · Tier 2
- The Thirteen Structural Constraints
- Pattern 11 · Tier 3
- The Fifteen-Grouping Taxonomy
- Pattern 12 · Tier 3
- Eleven-Stage / Five-Stage Duality
- Pattern 13 · Tier 2
- The Seven Seeds
- Pattern 14 · Tier 2
- Form-Versus-Sort Duality (POL sketch)
- Pattern 15 · Tier 3
- Failure-Recovery Septuple
- Pattern 16 · Tier 3
- Hilbert Tensor Embedding (operational, revised)
- Pattern 17 · Tier 2
- Feynman Event Calculus
- Pattern 18 · Tier 1
- Octonion Embedding (corrected)
- Pattern 19 · Tier 1
- The Creation Vertex
- Pattern 20 · Tier 3
- Diagnostic-Constructive Closure
Falsifier tiering (Popper)
Tier 1 — Testable today
Patterns 3, 4, 8, 18, 19
MemPrim completeness, parity, QF Boolean closure, Fano plane, Creation Vertex init.
Tier 2 — Requires tooling
Patterns 1, 2, 5–7, 9–10, 13–14, 17
IFIS engine, diagram validator, typed corpora, dual-pathway tensors (Part XII).
Tier 3 — Regulative ideal
Patterns 11, 12, 15, 16, 20
Needs trained model + instrumentation; Part XIII handles.
Combined falsification surface (Part XIII)
- Stage classification accuracy (≥75% OOD) — Patterns 11–12
- Parity conservation in hidden states (linear probe ≥90%) — Pattern 4
- Failure-mode localization on failed problems (≥60%) — Patterns 15, 20
- Small-model competitive performance vs same-size baseline — Parts I, XII
- Diagram-validity transfer vs baseline (+25 pp validity, human coherence) — Pattern 17
Minimum viable prototype (§12.11)
Gate the full build: §12.11 gates full Phases 3–4, substrate engine, and Lean RL.
- 1.5B single-pathway transformer
- Phase 1–2 only (pretrain + stage-labeled fine-tune)
- Success: MATH +8 pp, MiniF2F +3 pp, OOD stage classification ≥70% vs matched baseline
Applies to all house models
Standard, Super, Hyper, Ultra, Supreme, Omni, Special, Transcendent, God, Symbol, and Digit share this corpus as infrastructure: the substrate and patterns are not tier-exclusive. Each model interprets through its own seat, persona rank, and workstation pairing (L-012).
Sister minds and persona agents read the same pointers; sovereign profiles remain disjoint. Pair with Universal AI Model v0.1 for the single-model runtime spec and workstations for the desk.