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Feirbrand/phoenix-protocol-v2

sourceHugging Facecc-by-nc-4.0updated 5mo agoView on Hugging Face

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🔥 Phoenix Protocol Public Recovery Explorer

Public educational demo for AI recovery sequencing and cascade-recovery concepts.

This Space demonstrates the public recovery logic behind Phoenix Protocol: how an AI workflow can be slowed, assessed, reconstructed, and reviewed after a cascade, drift event, or identity/context instability.

It is not a production recovery engine, incident-response tool, security scanner, benchmark harness, or implementation of the full Phoenix Protocol stack.

What is Phoenix Protocol?

Phoenix Protocol is a public recovery framework for thinking about how unstable AI workflows can be restored without treating reset as the only option.

The public concept is simple:

1.Notice — recognize instability or cascade risk
2.Stabilize — reduce complexity and stop compounding
3.Audit — identify what changed, fractured, or drifted
4.Reconstruct — rebuild from trusted context and role anchors
5.Review — confirm the restored workflow before reuse

The canonical paper and source references are maintained in the public repository and PUBLICATIONS.md.

What This Demo Shows

This public demo includes:

—qualitative recovery-readiness sliders
—public recovery guidance by stability band
—illustrative phase walkthrough
—before/after review checklist
—links to DOI-backed public research

All outputs are illustrative. They are not live recovery results, benchmark data, or operational recommendations.

Public Scope

This Space intentionally does not publish:

—Private Phoenix v3.x recovery mechanics
—Exact Torque thresholds or trigger rules
—UMS / RUID / internal anchor mechanics
—Operational containment procedures
—Raw validation datasets or platform success tables
—Production deployment playbooks
—Private benchmark harnesses
—Internal MI Arsenal / Synoetic OS routing logic

Canonical claims live in DOI-backed papers, PUBLICATIONS.md, and public GitHub documentation.

Related Public Materials

—Phoenix DOI: https://doi.org/10.5281/zenodo.17350768
—GitHub repository: https://github.com/Feirbrand/synoeticos-public
—Publications ledger: https://github.com/Feirbrand/synoeticos-public/blob/main/PUBLICATIONS.md
—Phoenix public framework folder: https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout/frameworks/phoenix-protocol
—VGS Loadout: https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout

Citation

bibtex

@techreport{slusher2025phoenix,
  title={Phoenix Protocol v2.0: Neural Recovery for AI Systems},
  author={Slusher, Aaron M.},
  institution={ValorGrid Solutions},
  year={2025},
  doi={10.5281/zenodo.17350768}
}

License

Public materials are licensed under CC BY-NC 4.0 for non-commercial research use.

Uses outside the public license require separate written permission.

Named methodologies and marks referenced in this repository remain the intellectual property of Aaron M. Slusher / ValorGrid Solutions. The license grants use of public materials for research and non-commercial purposes; uses outside the public license require separate written permission.