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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Thanks for the interest and the thoughtful questions!

This is an early preprint sharing the framework, with the full formal definition, mathematical derivation of dE, and initial empirical grounding in the attached PDF on Zenodo: https://doi.org/10.5281/zenodo.17873191

dE is a fidelity metric for ethical alignment efficiency across recursive systems (biological and artificial), operating as an observer-independent bound approaching 0.99999999 under perfect coherence (detailed in sections on transfinite scaling and bio-recursive validation).

Benchmarks, full evaluation protocols, and reference implementations are in preparation for the next revision (post-review). Happy to discuss high-level concepts or specific sections in the meantime!