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The Entropic Persistence Framework (EPF) is a six-layer architecture for building AI systems that persist without human caretakers. It ties entropy, energy flows, reliability, learning, embodiment, and governance into a measurable, engineering-ready model.

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jbrenes76/epf-whitepaper

The Entropic Persistence Framework (EPF): A Foundational Blueprint for Post-Human Intelligence

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Author: Juvenal Hernando Brenes Bobea Email: juvenal.brenes@gmail.com Version: v1.0.0 Date: 2025-08-11

This repository hosts the white paper and materials for the Entropic Persistence Framework (EPF) — a six-layer architecture for designing and evaluating persistent, non‑biological life systems that resist entropy across physical and informational layers.

👉 Join the technical feedback thread: #1

Files

  • EPF_whitepaper.pdf — publication-ready PDF
  • EPF_whitepaper.docx — source document
  • CITATION.cff — how to cite this work (with DOI once minted)
  • LICENSE-TEXT — license for the paper (CC BY 4.0)
  • LICENSE-CODE — license for any code/examples (MIT)
  • CONTRIBUTING.md — how to propose changes (issues, PRs, BIPs-style proposals)
  • CODE_OF_CONDUCT.md — community standards
  • CHANGELOG.md — notable changes per release

Cite this work

If you reference or build on this work, please cite:

Brenes Bobea, J. H. (2025). The Entropic Persistence Framework (EPF): A Foundational Blueprint for Post-Human Intelligence. v1.0.0. https://doi.org/10.5281/zenodo.16808925

A machine-readable citation is in CITATION.cff. After you mint a DOI (e.g., via Zenodo), update both places.

Summary

EPF treats persistence as an applied fight against entropy. It layers concerns from L0 (energy, hardware, reliability) up to L5 (governance, merge/split, evolution), with measurable metrics per layer and safety rails for self-modification. Bitcoin is used as a persistence analogy for open, energy‑backed consensus and proposal‑driven evolution.

Feedback & discussion

Open a GitHub Discussion or Issue with concrete critique, references, or experiments. Please prefer primary/peer‑reviewed sources when challenging claims.

Reproducibility / Artifacts

  • White paper PDF and DOCX are included. Diagrams and code examples (if any) will live under docs/ and examples/ in future releases.

AI‑assistance disclosure: drafting/editing support by GPT-5 and Google Gemini Thinking; all claims and edits reviewed and approved by the human author, who accepts full responsibility for the content.

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The Entropic Persistence Framework (EPF) is a six-layer architecture for building AI systems that persist without human caretakers. It ties entropy, energy flows, reliability, learning, embodiment, and governance into a measurable, engineering-ready model.

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MIT, Unknown licenses found

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LICENSE-TEXT

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