The Science
The research, the reasoning, and the reality behind AI hallucination — and how to catch it.
Why AI Hallucinates — And Why It Can't Just Stop
Hallucination isn't a bug that can be patched out. It's a fundamental consequence of how large language models work. Here's the science.
Why a Team of Models Beats a Solo AI
The science, history, and research behind adversarial verification — from Condorcet's 1785 theorem to modern ensemble methods. Why convergent independent analysis catches what self-review misses.
How Double-Checking Actually Works
The anatomy of a cross-verified finding — how multiple models and live sources converge across eight dimensions to catch what no single check could.
Not All Hallucinations Are the Same
There are eight distinct ways AI gets it wrong — and the type of error changes what it looks like, how harmful it is, and what you need to do to check it.
More articles coming soon. We're building an open, transparent resource on AI reliability.