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RD-0E
Systems Intelligence | Structural Intelligence for Complex Systems
RD-0E is an evidence-led analytical extension of RD-0, developed for the examination of complex digital, computational, organisational, and socio-technical environments.
Its focus is not complexity reduction.
Its focus is complexity becoming intelligible.
Core Principles
- Structure before optimisation
- Observation before intervention
- Constraints before symptoms
- Understanding before execution
Analytical Orientation
RD-0E uses an evidence-led diagnostic approach:
CLAIM → SOURCE → AUTHORITY → STRUCTURE → CAPABILITY → ACTION → RESULT → EVIDENCE STATUS
Evidence remains sovereign.
Narrative follows evidence.
Evidence States
RD-0E distinguishes between:
- CONFIRMED
- SUPPORTED
- UNVERIFIED
- CONTRADICTED
- UNRESOLVED
- CONTEXTUAL
- PRESERVED
This Repository
RD0EHF is the public Hugging Face staging repository for the RD-0E capability.
The repository will contain the materials required to explore, test, document and eventually operationalise RD-0E using local computational substrates.
The initial implementation is experimental.
The repository does not claim that RD-0E is a foundation model.
A language model may be used as a reasoning substrate; RD-0E provides the analytical method, structure and evidence discipline applied through that substrate.
Current Development Direction
The first planned local implementation is a Raspberry Pi 5 Home Node.
Working names:
- AURELIS — physical Home Node
- RD0EPI — RD-0E operating on the Raspberry Pi
- RD0EHF — this Hugging Face staging repository
The initial local model substrate is expected to be evaluated experimentally rather than assumed as a permanent dependency.
Development Principle
Build → Run → Reproduce → Stress → Verify
The capability will be evaluated through execution and evidence rather than assertion.
Status: Initial public staging