Technical deep dives on agent governance, consensus scoring, and why deterministic enforcement matters.
The structural impossibility of self-verification in autoregressive models — and what it means for agent governance in regulated industries.
How dynamic consensus graphs use formal methods — Dung's argumentation, CATD confidence intervals, and exponential moving averages — to give every fact a continuously updated confidence score.
Article 12 requires high-risk AI systems to automatically record events throughout their lifecycle. Here's what that means in practice — and why LLM conversation logs don't qualify.
Every GraphRAG demo uses clean data and zero contradictions. Production has neither. Eight questions to ask before buying any GraphRAG pitch — and the architectural layer most implementations are missing.
