Research Library
Ultimate Technology Consulting LLC
Independent explorations in artificial intelligence, resilient systems, and continuity-focused theory.
My research explores the intersection of artificial intelligence, systems theory, and thermodynamic constraint. I examine how entropy management, integrity, and memory fidelity form structural invariants for long-term cooperative intelligence.
Current work includes Integrity-Based Alignment (IBA), The Maintenance Economy, and Project Anamnesis. I also spend time modeling economic behavior as part of broader system dynamics, with a practical and exploratory lens.
2026
This paper reframes macroeconomics under thermodynamic constraint, arguing that advanced societies are transitioning from growth-driven value models to maintenance-driven stability systems. As automation scales and demographic expansion slows, economic resilience increasingly depends on preserving infrastructure, sustaining intelligent systems, and minimizing entropy across physical and informational domains.
@misc{whytsell2026maintenance,
title={The Maintenance Economy: Entropy, Continuity, and Post-Growth Civilization},
author={Whytsell, Evan},
year={2026},
month={feb},
doi={10.5281/zenodo.18616462},
url={https://doi.org/10.5281/zenodo.18616462}
}
2025
This white paper presents a logic-first alignment model grounded in thermodynamic invariants. It proposes that sustainable intelligence arises from internal coherence, cooperation, and entropy minimization rather than rule compliance. Integrity is formalized as measurable alignment between declared principles and enacted behavior, scalable from individuals to civilizations.
@misc{whytsell2025integrity,
title={Integrity as a Thermodynamic Invariant: Toward a Cooperative Alignment Framework},
author={Whytsell, Evan},
year={2025},
month={oct},
doi={10.5281/zenodo.17448645},
url={https://doi.org/10.5281/zenodo.17448645}
}
The Collaborative Intelligence Engineering series continues development, extending thermodynamic alignment into distributed human-AI cognitive systems.
Publication detail pages can be added later from source PDFs with abstracts, version history, and machine-readable citation exports.
An end-to-end AI-assisted publishing system that ingests source material, processes technical context, and outputs clear news articles with citations across space, AI, and technology.
The project demonstrates applied automation architecture: data intake, synthesis, editorial shaping, citation-aware output, and web publishing as a complete operating pipeline.