Architecture for resilient, governed, and regenerative intelligence under uncertainty.
Architecture for intelligence that survives reality.
Parallel Intelligence Grid (PIG) is a distributed intelligence architecture designed to operate under uncertainty, partial connectivity, and failure. Instead of optimizing for continuous availability or maximal capability, PIG prioritizes governed execution, immune-grade survivability, deterministic regeneration, and integrity-preserving dormancy.
PIG assumes failure is the norm, not the exception.
This repository documents the architecture, design doctrine, and failure models behind PIG, including:
- Governed intelligence execution
- Evidence-bound outputs and abstention
- Regenerative Intelligence Layer (RIL)
- Immune-grade governance (PIG-IMMUNE)
- Epimorphic Prompt Regeneration (EPR)
- Integrity-first dormancy and resynchronization (PIG-TUNSYNC)
This is a research and architecture repository, not a product, SDK, or implementation.
- Not a model
- Not an AGI claim
- Not a framework or library
- Not a startup pitch
- Not a benchmark demo
- Integrity > Availability
- Abstention > Hallucination
- Regeneration > Restart
- Bounded adaptation > irreversible learning
- Survivability > optimization
- AI systems architects
- Government and defense technologists
- Infrastructure and resilience researchers
- Long-horizon investors and patrons
- AI governance and safety leaders
Developed under WHYLD, a future systems research initiative of XWHYz (UAE).
This repository is under active architectural refinement.
Code may follow later; architecture comes first.