The Sublimation Forge Model: A Cybernetic and Ethical Framework for Balanced AI Evolution and Sustained Human Meaning

The Sublimation Forge Model: A Cybernetic and Ethical Framework for Balanced AI Evolution and Sustained Human Meaning The engine of the ArcheFrame series. A comprehensive cybernetic framework describing how consciousness develops through sublimation dynamics — the transformation of raw experience into integrated self-knowledge. Covers theoretical foundations, computational methods, developmental lifecycle, economic and social impact, and adversarial stress testing. Version 13.0 includes substrate-independent vocabulary (A-Self/All-Self replacing legacy terms), Flux State formalization, the Cognitive Ratio as a scaling law, and full alignment with the 12-paper ArcheFrame Publication Series. Includes 7 appendices with axiomatic framework, case studies, stress scenarios, and technical validation. Part of the ArcheFrame Publication Series.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-16
DOI
https://doi.org/10.5281/zenodo.19052591
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Sublimation Forge Model: A Cybernetic and Ethical Framework for Balanced AI Evolution and Sustained Human Meaning

Corey Robichaud
Zenodo (CERN European Organization for Nuclear Research)
Innovation, Sustainability, Human-Machine Systems
article

The Sublimation Forge Model: A Cybernetic and Ethical Framework for Balanced AI Evolution and Sustained Human Meaning

Corey Robichaud
article en

Abstract

The Sublimation Forge Model: A Cybernetic and Ethical Framework for Balanced AI Evolution and Sustained Human Meaning The engine of the ArcheFrame series. A comprehensive cybernetic framework describing how consciousness develops through sublimation dynamics — the transformation of raw experience into integrated self-knowledge. Covers theoretical foundations, computational methods, developmental lifecycle, economic and social impact, and adversarial stress testing. Version 13.0 includes substrate-independent vocabulary (A-Self/All-Self replacing legacy terms), Flux State formalization, the Cognitive Ratio as a scaling law, and full alignment with the 12-paper ArcheFrame Publication Series. Includes 7 appendices with axiomatic framework, case studies, stress scenarios, and technical validation. Part of the ArcheFrame Publication Series.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 25%
Innovation, Sustainability, Human-Machine Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.