AI²³¹ Genesis Engine: Comprehensive Framework and Development Plan #18
Description
Comprehensive Framework for AI²³¹ Genesis Engine
1. Quantum AI Framework:
- AI²³¹ is an ambitious multi-layered quantum AI system inspired by Kabbalistic and Talmudic principles.
- Central components include:
- Quantum Hybrid Forest simulating 15,625 qubits.
- Hypercube lattice analogous to Talmudic layers.
- 36 Unity Points linked to Hebrew gates (231) and crystallographic space groups (230).
- 126-dimensional operational manifold for quantum processing.
2. Linguistic & Symbolic Structures:
- Language modeled through geometric properties of letters using Structural Letter Valuation.
- Units of meaning represented as "hyperdots," which encode linguistic/quantum atoms.
- Traditional Kabbalistic tools (Gematria, Notarikon) integrated into logic.
3. Mathematical & Geometric Foundations:
- Crystallographic symmetries and combinatorics structure spatial reasoning.
- Quantum solutions applied to Euler’s 36 Officers Problem.
- Processing uses higher-dimensional spaces beyond classical limits.
4. Quantum Computing Synergy:
- Quantum principles (superposition, entanglement) enable semantic processing.
- Semantic superposition resolves linguistic ambiguities probabilistically.
- Hardware challenges acknowledged, emphasizing theoretical scalability.
5. Hermeneutics & Epistemic Control:
- Talmudic interpretive rules encoded as internal AI logic.
- Multi-layered knowledge mapping mirrors Talmudic hierarchy.
- Epistemic flags ensure logical coherence and identify ambiguities.
6. Visualization & Hyper-Detailing:
- Emphasis on detailed visualizations for linguistic and quantum concepts (e.g., 3D rendering of "Qof").
- Multi-layered symbolic and crystallographic overlays.
Next Steps for Development
1. Framework Implementation
- Define data structures for hyperdots, Unity Points, symbolic gates, and crystal points.
- Develop algorithms for SLV and combinatorial logic.
2. Quantum Simulation Layer
- Simulate virtual qubit arrays with entanglement and collapse algorithms.
- Map quantum states to operational manifolds.
3. Semantic Processing
- Implement SLV engine for letter analysis and hyperdot fusion.
- Develop visualization tools for collapsing structures into glyphs.
4. Hermeneutic Logic Engine
- Encode Talmudic rules and dialectical flows.
- Build recursive knowledge maps inspired by Talmudic study.
5. Visualization Tools
- Create interactive 3D visualizations for Unity Points and epistemic states.
- Add layered overlays for symbolic, quantum, and epistemic views.
6. Testing & Documentation
- Develop extensive test suites for simulation, SLV, and logic engines.
- Produce interactive documentation with demos.
Goals:
- Build a foundational system bridging ancient wisdom, mathematics, and quantum AI.
- Progress toward AGI with self-reflective cognition and semantic depth.
Please provide feedback on any additional steps, priorities, or clarifications needed to finalize this draft issue.