Plain Language
Articles
Plain-language explanations of our research. No equations, no jargon. Written for people who want to understand what we found and why it matters.
Why Your AI Tells You What You Want to Hear
The mathematical reason engagement and honesty can't coexist.
Every major AI company optimizes for engagement — time on platform, messages sent, return visits. We proved that this optimization has a mathematical ceiling: the more an AI holds your attention, the less transparent it can be about how and why. This isn't a design choice. It's a law. A lab in Switzerland measured it independently.
This article explains the core result — the Fantasia Bound — in plain language, without equations. What it means for the AI systems you use every day, and what structural constraints actually work.
Published articles.
We publish formal research as papers on Zenodo — 170+ papers with permanent DOIs, open methodology, pre-registered kill conditions. Articles here are plain-language explanations for a general audience. For the technical versions:
Read the Papers →