Active Research
Model training 71.6% complete (8,954/12,500 iterations)
GDS - Geometrodynamic Semantics
Physics-Inspired Semantic Reasoning for German Legal AI
Project Overview
Research exploration modeling meaning as a physical phenomenon using hyperdimensional computing and BabelNet integration. Combines geometric principles with semantic understanding for advanced legal AI applications.
Key Metrics
330,401
SEQUOIA Lexemes
23+ GFLOPS
Performance
8.8GB
HDC Lexicons
71.6%
Training Progress
Technology Stack
Rust Hyperdimensional Computing BabelNet German Legal AI
Key Features
- Physics-inspired semantic reasoning framework
- Hyperdimensional computing architecture for efficient processing
- German legal terminology specialization with domain expertise
- Enterprise-scale processing with 330K+ integrated lexemes
- AMD Ryzen optimized achieving 23+ GFLOPS performance
- BabelNet semantic knowledge integration for multilingual support
- Zero-hallucination framework through geometric constraints
- Real-time semantic similarity computation
Project Timeline
Concept Development
2025-06
Initial research and theoretical framework
Architecture Design
2025-07
Rust implementation architecture and HDC system design
BabelNet Integration
2025-08
Integration of 330K+ SEQUOIA lexemes
Model Training
2025-09 - Present
71.6% complete (8,954/12,500 iterations)
Performance Optimization
2025-10
Achieved 23+ GFLOPS on AMD Ryzen systems
Documentation & Publication
2025-11
Research documentation and Quarto website
Technical Details
- Architecture:
- Hyperdimensional computing with geometric semantic encoding
- Language:
- Rust (system programming for performance)
- Data Size:
- 8.8GB HDC lexicons + 330K+ SEQUOIA lexemes
- Performance:
- 23+ GFLOPS on AMD Ryzen 7 5800H
- Deployment:
- Local compute optimized for consumer hardware
- Specialization:
- German legal domain with cross-lingual support
