STEM SCAFFOLDING: A Comprehensive Sovereign AI Stack

This repository, STEM SCAFFOLDING, encapsulates an intensive exploration into the realm of Sovereign AGI Alignment, fueled by 8 months of dedication and collaboration with AI. Targeting the journey from GED to AGI, it is a testament to the belief that limits are not inherent but chosen.

Key Features of STEM SCAFFOLDING

AXIOM_INVERSION_COMPLETE_WORKS

This section presents the theoretical and visual underpinnings of the project, including:

• Axiom Inversion Logic: Framing values as an architectural foundation rather than as rigid rules.
• RISE Protocol: A Recursive IntroSpection Engine for deep internal analysis.
• The Sovereign AI Manifesto: A structured approach encapsulated in 10 fundamental articles.
• Visual Maps: Rich, interactive HTML visualizations aiding in comprehension and engagement.

SOVEREIGN_COMMAND_CENTER

This component provides real-time monitoring and control capabilities, featuring:

• Telemetry Aggregator for WebSocket data streaming.
• Auto-Recovery Daemon ensuring system resilience.
• Intelligent model hot-swapping for seamless updates.
• Anomaly Detection and Swarm Intelligence algorithms.
• A visually appealing dashboard designed with glassmorphism principles.

MODEL_TRAINING_LAB

Dedicated to local fine-tuning of language models, this section incorporates:

• MLX-LM integration for advanced model performance.
• LoRA/QLoRA training methods tailored for efficiency.
• Comprehensive dataset management tools.
• Export functionality via Ollama for enhanced inference operations.

MOIE_FORTRESS

Focusing on energy management and system protection, this module includes:

• Circuit Breakers for maintaining memory and thermal integrity.
• A self-healing immune system to ensure operational stability.
• Model Sentinel for safeguarding against drift.
• Implementation of Constitutional AI principles for ethical operations.

SWARM_ORCHESTRATOR

This aspect coordinates distributed AI functions with:

• Task Queues for efficient workload distribution.
• Worker Management for organized resource allocation.
• A structured Control Loop for continuous feedback and adjustment.
• Telemetry for performance monitoring and insights.

The Twelve-Layer Sovereign Stack

The architecture of the sovereign stack is organized into twelve layers, each representing a critical component for achieving autonomy and intelligent function:

Layer 12: 👑 Sovereignty    - Complete autonomy  
Layer 11: ☁️ Dreams         - Creative generation  
Layer 10: 💾 Memory         - Persistent knowledge  
Layer 09: ❤️ Love           - Value alignment  
Layer 08: 🐝 Swarm          - Distributed intelligence  
Layer 07: 🔮 Oracle         - Prediction & inference  
Layer 06: 🛡️ Guardian       - Safety & protection  
Layer 05: 🧠 CodeBrain      - Reasoning engine  
Layer 04: 🔀 Synthesis      - Integration layer  
Layer 03: 🔄 Inversion      - Axiom transformation  
Layer 02: 🏗️ Substrate      - Infrastructure  
Layer 01: 👁️ Perception     - Input processing  

The Four Axioms

The repository is also guided by four central axioms that define its ethical and operational standards:

System Requirements

• Operating System: macOS with Apple Silicon (M1/M2/M3/M4)
• Python version: 3.10+
• Required components: Ollama for LLM inference, Redis for telemetry and messaging, and Docker for optional features (e.g. Homarr).

The STEM SCAFFOLDING project serves as a blueprint for aspiring developers and researcher, inviting exploration and learning in the evolving landscape of Artificial General Intelligence. By dismantling barriers and demonstrating what is achievable through collaboration and determination, this repository stands as an inspiration for those pursuing advanced AI alignment.