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README.md

@@ -1,45 +1,62 @@
 ---
-title: NullAI
-emoji: 🧠
+title: NullAI - Revolutionary Knowledge System
+emoji: 🌟
 colorFrom: blue
-colorTo: purple
+colorTo: green
 sdk: gradio
 sdk_version: 4.44.0
-app_file: app.py
+app_file: space_app.py
 pinned: false
-license: apache-2.0
+license: mit
 tags:
-  - knowledge-reasoning
-  - multi-domain
-  - expert-verification
-  - medical
-  - legal
-  - deepseek
+- knowledge-graph
+- spatial-memory
+- expert-verification
+- multi-domain
+- medical
+- legal
+- programming
+- science
+- educational-ai
 ---
 
-# NullAI - Multi-Domain Knowledge Reasoning System
+# 🌟 NullAI: Revolutionary Multi-Domain Knowledge System
 
-Expert-verified knowledge with transparent verification status.
+**Transparent, Verifiable, Expert-Authenticated AI**
 
-## Features
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-- **55+ Specialized Domains**: Medical, Legal, Programming, Science, and more
-- **Expert Verification**: ORCID-based authentication for expert contributors
-- **Transparent Confidence**: Every response includes confidence scoring
-- **Open Models**: Uses DeepSeek, Qwen, Mistral (no external API required)
+## About This Demo
 
-## Usage
+This is a lightweight demonstration interface for NullAI. For full functionality and source code, see the complete model:
 
-1. Select a knowledge domain
-2. Enter your question
-3. View the response with verification status
+**Model**: [kofdai/nullai-deepseek-r1-32b](https://huggingface.co/kofdai/nullai-deepseek-r1-32b)
 
-## Verification Marks
+## Key Features
 
-- 🟢 **Expert Verified**: Reviewed by ORCID-authenticated expert
-- 🔵 **Community Reviewed**: Reviewed by community members
-- ⚪ **Unverified**: Not yet reviewed
+- **Knowledge Tile System**: Structured knowledge with spatial coordinates
+- **3D Spatial Memory**: Organized by abstraction, expertise, and temporality
+- **Multi-Stage Judge System**: Three-tier verification (Alpha, Beta Basic, Beta Advanced)
+- **ORCID Expert Verification**: Expert-authenticated knowledge
+- **Database Isolation**: Separate DBs for each domain
+- **Rapid Specialization**: Create domain-specific LLMs in hours
 
-## License
+## Create Specialized LLMs
 
-Apache 2.0
+- **Educational LLMs**: Mathematics, science, language learning
+- **Medical LLMs**: Clinical decision support, diagnostics
+- **Legal LLMs**: Contract analysis, regulatory compliance
+- **Enterprise LLMs**: Custom knowledge bases
+- **Research LLMs**: Methodology, literature review, data analysis
+
+## Performance
+
+- Base Model: DeepSeek-R1-Distill-Qwen-32B (32.7B parameters)
+- Quantization: 4-bit MLX (17.2GB)
+- Training Improvement: 78.5%
+- Accuracy: 92% (medical Q&A with reasoning chains)
+- Speed: 30-35 tokens/sec (Apple Silicon M3 Max)
+
+## Documentation
+
+See the model card for comprehensive technical specifications and usage examples.