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.
A technical study focusing on the reproducibility and critical analysis of manifold-constrained hyper-connections in deep learning architectures.
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.
More papers and technical notes in preparation.
Receive new research papers, engineering notes, and NYRVEN updates directly. No noise — only substantive technical content.