Spaces:
Running
title: Primordial Code Layer
emoji: 🧬
colorFrom: blue
colorTo: purple
sdk: static
app_file: index.html
pinned: false
license: cc-by-nc-4.0
Primordial Code Layer v0.4.6
Static HTML HIR/OAM governance validator.
HIR = Honesty, Integrity, Respect.
OAM = diagnostic pressure and fault-test layer.
This Space hosts the Primordial Code Layer v0.4.6 browser validator for HIR/OAM manifests, pressure controls, failure injection, gate behavior, audit-chain behavior, JSONL export, and Verify Chain support.
Status
Experimental systems-integrity prototype for bounded runtime governance, provenance preservation, auditability, and pressure-tested architecture.
Claims Boundary
This is not completed AGI, machine consciousness, production-ready AI safety, clinical tooling, deployed cybersecurity tooling, or a solved alignment system.
Primordial Code Ecosystem
This Space is part of the broader Primordial Code / Digital Mycelium / HIR-OAM systems-integrity ecosystem.
Main Ecosystem Hub:
https://huggingface.co/spaces/HirModel/primordial-code-ecosystem
Hugging Face Collection:
https://huggingface.co/collections/HirModel/primordial-code-ecosystem
Related branches include:
- Digital Mycelium — disclosure-to-repair, repair conversion, and distributed signal modeling.
- HIR Settlement Layer — ticketing, payment integrity, anti-scalping, anti-botting, fraud defense, authorized red-team capture, and black-hat LLM defense mappings.
- Primordial Code Layer — HIR/OAM manifest validation, pressure gates, failure injection, audit-chain behavior, and bounded systems-integrity review.
- UWC Measurement Harness — compute, thermal, and water-proxy measurement/provenance testing.
- Primordial Browser.exe — project-stated local executable browser/runtime prototype with GREEN/YELLOW/RED gate behavior, HIR Shield mode, hard-stop routing, and hash-chained audit logging.
- Rice-facing AI-in-Health branch — cognition-to-care, accessibility translation, measurement integrity, uncertainty governance, and bounded-runtime handoff logic.
This branch should be read as one module in the larger ecosystem, not as a standalone claim of production-ready AI safety.