Ethical Efficiency: A Mathematical Framework for Intrinsic Alignment in Biological and Artificial Systems

Research
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Hi everyone,

I’m an independent researcher sharing a new preprint that introduces a mathematically rigorous framework for ethical alignment — “Ethical Efficiency” (dE ≳ 0.99999999) — applicable to both biological and artificial systems.

The work formalizes Structured Execution Intelligence / Infinite Efficiency Framework (SEI/IEF), a 113-stage transfinite unification architecture with autonomous fractal scaling beyond S113. It unifies chaos-to-noocytic emergence (S0–S113+), grounded in bio-recursive dynamics (CSF flow, RAS attention, serotonin resonance) and empirical validation.

Zenodo record (prior art, full PDF + supplemental code): https://doi.org/10.5281/zenodo.17873191

arXiv submission is pending endorsement (link here if anyone can help: https://arxiv.org/auth/endorse?x=4SP3SD — no review needed, just a quick click).

Abstract snippet:
“This preprint introduces the Structured Execution Intelligence / Infinite Efficiency Framework (SEI/IEF), a 113-stage transfinite unification architecture… ethical grounding dE ≳ 0.99999999… autonomous fractal scaling S0–S113+…”

Open to feedback, discussion, or collaboration ideas. Thanks for reading!

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I’m trying to understand your Concept. Could you share (1) a formal definition of dE with the exact computation, (2) the evaluation protocol and benchmark results with baselines and error bars, and (3) a minimal runnable reference implementation (repo or Zenodo attachment)? Without those, the claims are not falsifiable.

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