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Research

Technical papers documenting the IONIS project's methodology, infrastructure, and lessons learned.

Papers

The Dialectical Engine

Multi-Agent Falsification in Scientific Software Development

How five AI agents and a human domain expert used dialectical analysis to debug a neural network — and discovered that the failure record was more valuable than the model.


From Nanometers to Neurons

Applying Semiconductor Process Control to Machine Learning

CLCA/8D methodology from semiconductor manufacturing applied to neural network development. Eight architectural dead ends, each with a documented root cause.


Sovereign Infrastructure for Citizen Science

Building a Self-Hosted Research Lab for Radio Propagation Analysis

How a self-hosted lab processes 14.68 billion rows on commodity hardware — 24.67 Mrps ingestion, 60 GB/s query throughput, 30 tok/s local LLM inference — at 1.3% of equivalent cloud cost.


Who Says Hermits Don't Have Friends

The Human Story Behind a Sovereign AI Lab

The non-technical story of building IONIS. Five AI agents, a 96 GB GPU, a Thunderbolt cable, and a callsign. The hermit has more collaborators than most startups.