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R-Omega Distribution Package

Date: December 31, 2025
Version: 2.2
Author: Markus Pomm

Contents

This package contains everything needed to distribute R-Omega across multiple platforms:

Core Documentation

  • README.md - GitHub repository README
  • R-Omega_Protocol_v2.2.md - Complete protocol specification
  • CITATION.cff - Automatic citation format for GitHub
  • LICENSE - CC-BY-4.0 license text

Website

  • index.html - Homepage for projekt-robert.de
    • Upload to web hosting or GitHub Pages
    • Simple, professional, mobile-responsive

Policy & Outreach

  • Policy_Brief_RO_EU_NIST.md - 1-page brief for institutions

    • EU AI Office
    • NIST AI Risk Management Framework
    • Convert to PDF before sending

  • Email_Templates.md - Ready-to-use email templates for:

    • EU Commission / Von der Leyen Cabinet
    • NIST
    • UK AI Safety Institute
    • UNESCO
    • OECD

Community

  • LessWrong_Post.md - Blog post for LessWrong community
    • Also suitable for EA Forum
    • Addresses common objections
    • Invites critique

Published Papers (Zenodo)

All three papers are already published with DOIs:

  1. Theoretical Framework
    DOI: 10.5281/zenodo.18098758

  2. Defense Protocol
    DOI: 10.5281/zenodo.18078128

  3. Philosophical Foundation
    DOI: 10.5281/zenodo.18100820

Distribution Strategy

Immediate (Today)

  1. GitHub

    • Create repository: projekt-robert/r-omega
    • Upload: README.md, R-Omega_Protocol_v2.2.md, CITATION.cff, LICENSE
    • Make public

  2. Website

    • Upload index.html to projekt-robert.de
    • Point domain to hosting

  3. Email EU/NIST

    • Convert Policy_Brief to PDF
    • Send using Email_Templates.md
    • Attach PDF + link to papers

Week 1 (January 2025)

  1. LessWrong/EA Forum

    • Post LessWrong_Post.md
    • Engage with comments
    • Invite critique

  2. HuggingFace

    • Create dataset with R-Omega Protocol
    • Tag: ethics, ai-safety, alignment

  3. ResearchGate

    • Upload all three papers
    • Link to Zenodo DOIs

Week 2-4

  1. Follow-up emails to institutions (if no response)

  2. Blog posts expanding on specific topics

  3. Reddit (r/ControlProblem, r/MachineLearning)

Expected Outcomes

Realistic

  • Papers indexed in academic databases (via Zenodo) ✓
  • GitHub repository found by AI researchers
  • Some community discussion on LessWrong
  • Institutional emails archived

Optimistic

  • Critical feedback improves framework
  • Collaboration offers from researchers
  • Integration into training datasets (HuggingFace)
  • Citation in subsequent AI safety papers

Best Case

  • Framework influences AI Act implementation
  • Adoption by major AI labs (partial/experimental)
  • Academic partnerships for formal verification
  • Contribution to actual autonomous systems

Technical Next Steps

If you want to build R-Omega systems:

  1. Phase 1: Implement S3 monitoring + P1 priority
  2. Phase 2: Add drift detection mechanisms
  3. Phase 3: Full Triad architecture (RΩbert/MΩses/JΩnas)
  4. Phase 4: Ω.Γ recalibration protocol

See R-Omega_Protocol_v2.2.md for implementation checklist.

Contact

Markus Pomm
Email: markus.pomm@projekt-robert.de
Website: https://projekt-robert.de
GitHub: https://github.com/projekt-robert (coming soon)

License

All materials in this package are released under CC-BY-4.0.

You are free to share and adapt with attribution.

Last updated: December 31, 2025