Patent Claims Summary
FIM CIP v21 - 15 Claims Creating the Category
Filing Deadline
April 2026
New Matter (CIP)
6 Claims
Foundation Claims (Parent Application)
Zero-Entropy Database Architecture
Novel database system where semantic meaning, physical memory layout, and hardware optimization form a unified identity (S=P=H).
Why it matters: All prior art treats these as separate concerns. Unification eliminates entire classes of bugs, latency, and inconsistency.
FIM Sparse Indexing & ShortRank Orthogonality
Information retrieval system using focused information multiplier with orthogonal ranking that preserves semantic relationships during compression.
Why it matters: Enables O(log n) search in semantic space while maintaining audit trails. Current vector DBs are O(n) or O(n log n).
New Matter Claims (CIP Extension)
Scale-Invariant Semantic Sorting
Sorting mechanism where position = semantic distance applies recursively at ALL organizational scales: macro (between categories), meso (between blocks), micro (within blocks).
Why it matters: Distinguishes from ALL prior art. Hash tables have no semantic ordering. B-trees have numeric ordering only. Vector DBs have flat embedding space. No existing system has recursive semantic sorting at all scales.
Thermodynamic Selection Verification
Verification mechanism demonstrating grounded systems achieve O(log n) energy scaling while ungrounded systems require O(e^n) energy scaling.
Why it matters: This is the core of the "physics problem" thesis. Provides measurable proof of thermodynamic advantage. Creates defensible moat based on physics, not features.
P=1 Precision Collision Detection
Binary verification mechanism wherein hardware detects prediction-reality match at atomic precision. Signal is YES/NO (not probabilistic confidence). "Substrate catches itself being right."
Why it matters: This is what enables audit-grade accountability. Current AI produces confidence scores. FIM produces certainty. Legal liability requires certainty.
Consciousness Threshold Metrics
Measurable parameters defining threshold for precision collision capability: N~330 dimensions, R_c~0.997 precision, Delta T~10-20ms binding window, M~55% metabolic budget.
Why it matters: Derived from biological systems (cerebellum vs cortex research). Provides concrete engineering targets. Falsifies computationalist scaling assumptions.
Geometric Sovereignty (Identity-Permission Fusion)
Paradigm shift from rules-based to physics-based governance. Identity is a Location (bounded region). Permission is a Physical Boundary. Identity IS the permission boundary - no separate enforcement layer.
Why it matters: Eliminates the entire governance stack. No rules to define, train, monitor, or enforce. Security emerges from structure. "Governance as Geometry."
Substrate-Secured Communication
Cryptography without encryption. Security via physical substrate boundaries rather than mathematical complexity. Communication is secure because the physics permits no alternative path.
Why it matters: Post-quantum security without quantum hardware. Eliminates encryption/decryption overhead. Compliance by architecture, not policy.
Prior Art Differentiation
WHY EXISTING SYSTEMS CANNOT CLAIM THESE
- Hash tables: No semantic ordering at any scale
- B-trees: Numeric ordering only, no recursive semantic nesting
- Vector databases (Pinecone, Weaviate, etc.): Flat embedding space without hierarchical semantic sorting
- Hierarchical clustering: Tree relationships, not linear position = distance at all scales
- Transformers/LLMs: Thermodynamically ungrounded, O(e^n) scaling, probabilistic outputs
- RAG systems: Retrieval is separate from generation, no unified S=P=H identity
The Defensible Moat
25-Year Priority
Chalmers conversation (2000) establishes independent discovery predating all competitors.
Physical Constant
0.3% decay constant converges from 5 domains. You can't patent-around a discovery.
Architectural Lock-in
Transformers are fundamentally ungrounded. "Adding" grounding requires complete redesign.
Category Creation
These claims define a new category. Competitors must work around it or license.
Strategic Positioning
The patent strategy is not "better features" but "different physics." Key points:
- Not competing with OpenAI on capabilities. Competing on accountability architecture.
- Not an "AI company." An infrastructure company that AI companies will need to license.
- Not selling software. Licensing a protocol layer (like TCP/IP, not like Salesforce).
- The CRM is proof-of-concept. It demonstrates the patent works in production. The patent is the product.