Peer-Reviewed Research on AI Architecture & Intelligence.
Published academic papers and practical insights from building production AI systems.
Published Papers
Peer-reviewed research published on Zenodo and SSRN.
Domain-Isolated Architecture for Reliable LLM Inference Through Clean Data Methodology and Reactor Isolation
After testing 50+ model configurations, we identified a critical failure mode that standard benchmarks miss entirely: multi-domain session degradation. When an LLM handles queries across physics, programming, and travel planning in the same session, accuracy drops from 95% to 40% by query eight. Reactor isolation eliminates this completely.
The Biological Prerequisite for Artificial General Intelligence: Why Probabilistic Computation Cannot Produce Cognition
Current AI systems compute statistical relationships between input patterns and output distributions. This is what they do. It is all they do. And it is categorically insufficient to produce cognition. AGI requires biological neural integration — not bigger GPU clusters. The path runs through neuroscience, not through scaling transformers.
Articles & Insights
Practical thinking on technology and business.
Making AI Work for Real Businesses — Not Just Tech Giants
Most AI coverage focuses on frontier models and billion-dollar research labs. But what does practical AI implementation actually look like for a 50-person manufacturing business in Scotland? After 22 years of operational experience, the answer is simpler than the industry wants you to believe.
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Practical insights on AI, infrastructure, and building technology that delivers real business value.
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