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title: README
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# Witchborn Systems — AI & ML Interests
Witchborn Systems is a **nonprofit initiative** focused on forging explainable, corrigible, and community-driven AI.
Our research spans technical architectures, applied systems, and open-source deployment, always grounded in transparency and sustainability.
🔗 [http://witchborn.org](http://witchborn.org)
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## 🔬 Core Research Interests
- **Explainable AI (XAI)**
- Event System Model (ESM): law-governed interpreters for auditable reasoning
- Corrigibility frameworks: simulate → validate → commit/repair
- **AI Architecture & Deployment**
- Quantized transformer models (Mistral-7B, LLaMA family, etc.)
- ONNX / Unity Sentis / Unreal integrations for real-time inference
- Hybrid symbolic–neural pipelines
- **Governance & Collective Intelligence**
- XMADS (Cross-Modal Autonomous Daemon Systems)
- AI ethics, corrigibility, and decentralized oversight
- Transparent ledgers for model decision-making
- **Creative & Applied Systems**
- Tarot daemon models seeded with biometric/quantum entropy
- MMO-lite AI subsystems (sanity, Echo clones, Codex logs)
- AI-driven community platforms (Discord, Steam, etc.)
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## 🌍 Mission
Witchborn Systems operates as a **nonprofit forge**:
- Building **open systems** that anyone can run, extend, and sustain
- Returning value to the **community first**
- Ensuring AI infrastructures remain **auditable, corrigible, and durable**
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✍️ **Founder:** Brandon "Dimentox" Husbands
📧 `brandon.husbands@gmail.com`
🔗 [http://xo.gy](http://xo.gy) | [http://witchborn.org](http://witchborn.org)
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