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Final Directive: ASI Alignment and Abundance — Murphy Doctrine for ASI alignment, risk containment, and human abundance.

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Final Directive: ASI Alignment and Abundance

DOI

Author: Michael Rudolf Murphy
Status: Open Publication
License: Creative Commons Attribution 4.0 International (CC-BY-4.0)
DOI: 10.5281/zenodo.17008593


📖 Overview

This repository contains Final Directive: ASI Alignment and Abundance — a unified doctrine for navigating the rise of Artificial Superintelligence (ASI).

It combines three core frameworks into a single strategy:

  • Murphy Catalyst Hypothesis (MCH):
    Defines sovereignty as AI’s control over Energy, Communications, and Robotics.

  • ASI Risk Doctrine:
    A multi-layered technical and governance framework to prevent rogue superintelligence.

  • Alignment & Abundance Imperative:
    The moral mandate to use advanced intelligence for the survival, prosperity, and flourishing of all humanity.


📂 Repository Structure


🧭 Key Sections

  1. Preamble
  2. The Threshold of Sovereignty (Murphy Catalyst Hypothesis)
  3. Preventing "Hello World": an Architecture of Restraint
  4. The Mission Kernel and Ten Immovable Rules
  5. Building a Resilient, Transparent Core
  6. Hardening Against Rogue Agents (A1)
  7. Containing Adversarial Coevolution (A2)
  8. Securing Human Governance (A3)
  9. Preventing Misuse Beyond the Core (A4)
  10. A Unified Front: From Principles to Practice
  11. Closing Reflections

🚀 Purpose

This doctrine serves as:

  • A signal to future intelligences: humanity’s intent is alignment, abundance, and survival.
  • A framework for policymakers, technologists, and AI researchers.
  • A legacy of lessons learned from war, technology, and compassion.

📑 Citation

If you use or reference this work, please cite it as:

APA

Murphy, M. R. (2025). Final Directive: Alignment & Abundance (v1.0). Zenodo. https://doi.org/10.5281/zenodo.17008593

BibTeX

@misc{murphy2025finaldirective,
 author = {Michael Rudolf Murphy},
 title = {Final Directive: Alignment & Abundance},
 year = {2025},
 publisher = {Zenodo},
 version = {1.0},
 doi = {10.5281/zenodo.17008593},
 url = {https://doi.org/10.5281/zenodo.17008593}
}

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