Engineering notes, research papers, and technical perspectives on the intersection of agentic AI, software systems, and legal frameworks.
An analysis of how the rapid technical evolution of agentic AI mechanisms is outpacing existing global legal and regulatory frameworks, creating a significant enforcement and safety gap.
Marcel Osmond & Thomas Jego (February 2026). “Mind The Gap: How the technical mechanisms of Agentic AI outpace global legal frameworks” Zenodo. DOI: 10.5281/ZENODO.18777745
A technical study focusing on the reproducibility and critical analysis of manifold-constrained hyper-connections in deep learning architectures.
Thomas Jego (March 2026). DOI: 10.5281/ZENODO.18852696
This research paper explores the regulatory challenges and liability frameworks for high-capability agentic AI systems at the 2026 capability frontier, proposing a trajectory-based approach to legal responsibility.
Marcel Osmond (March 2026). DOI: 10.5281/zenodo.18828311
More papers and technical notes in preparation.
Every NYRVEN research project begins with a clear technical question and ends with reproducible findings. We publish on Zenodo to ensure open access and DOI-backed permanence.
Our work spans three domains: technical AI research (model architectures, reproducibility), AI governance and law (regulatory frameworks, liability), and the intersection of both (how technical capabilities outpace legal structures).
All papers undergo internal peer review before publication. We do not publish marketing content disguised as research.
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