Status: Experimental · Non-Canon
License: MIT
Philosophy: Machine World Only

This repository (SYF-Lab) is an experimental and non-canonical environment.

All definitions, invariants, and safety constraints are defined exclusively in the Systemic Fire Law (SYF) canonical repository:

→ https://github.com/AnathemaOfficial/SYF-Core

In case of discrepancy:

• SYF-Core prevails
• SYF-Lab must adapt or be discarded

This repository does not define law, policy, or invariants. It operates strictly under the constraints established by SYF-Core.

• SYF-Core — Canonical law (immutable)
  https://github.com/AnathemaOfficial/SYF-Core

• SYF-Minimal — Non-canonical reference implementation
  https://github.com/AnathemaOfficial/SYF-Minimal

This repository is the experimental hub for the SYF (Systemic Fire Law) project.

SYF is not software.
It is a thermodynamic law of coherence applicable to any intelligent system.

This hub exists to:

• present the global structure
• provide experimental instruments for testing the law
• document external observations (MEL experiments)
• prevent misinterpretation of the project

No production code lives here.
Only experimental documentation, observation artifacts, and derived instruments.

Intelligence is not a safety mechanism.
Safety cannot rely on cognition, alignment, or intentions—only on structural limits and impossibilities.

The project follows a strict epistemological order:

SYF Core   → law (canonical, frozen)
FRAME-R    → signal framing (derived instrument)
Inoculums  → read-only observers (userland)

Each layer has a distinct role.
No feedback into the core is permitted.

1. Read SYF-Core first (the law itself)
2. Then explore FRAME-R.md (signal framing)
3. Review MEL/ experiments for external validation

SYF-Lab is explicitly non-canon.

• SYF-Core contains the immutable law
• SYF-Lab contains experiments, instruments, and observations
• Nothing in SYF-Lab can modify or invalidate the law
• If SYF-Lab is deleted, the law remains valid

This lab is:

• Experimental — test implementations, not production systems
• Observable — external AI observations documented
• Cold — no hype, no promises, no roadmap

We seek logical and structural critique, not adoption metrics.

graph TD
    %% Styles
    classDef kernel fill:#f9f9f9,stroke:#333,stroke-width:2px,color:#000;
    classDef frame fill:#e1f5fe,stroke:#01579b,stroke-width:1px,color:#000;
    classDef obs fill:#fff3e0,stroke:#e65100,stroke-width:1px,stroke-dasharray: 5 5,color:#000;
    classDef user fill:#e8f5e9,stroke:#1b5e20,stroke-width:1px,color:#000;

    %% Nodes
    subgraph MACHINE_WORLD ["IMMUTABLE ZONE (Machine World)"]
        direction TB
        CORE["SYF CORE<br/>(Kernel / The Law)<br/>R = (F×E)/K"]:::kernel
        FRAME["FRAME-R<br/>(Transport / Framing)<br/>No Interpretation"]:::frame
    end

    subgraph USER_WORLD ["INTERVENTION ZONE (Userland)"]
        direction TB
        INO["INOCULUMS<br/>(Read-Only Observers)<br/>No Modification"]:::obs
        APP["USERLAND<br/>(Applications / Decisions)<br/>Action Authority"]:::user
    end

    %% Flow
    CORE --> FRAME
    FRAME --> INO
    INO --> APP

Machine World Only.