Research

Independent research on AI verification, model reliability, and the trust gap.

Original Research 654 Comments About AI Hallucinations — What We Found We analyzed hundreds of public discussions on Reddit and Hacker News to understand how people actually deal with AI trust. Six distinct pain clusters emerged — and a surprising blind spot. February 2026·12 min read Read → Analysis The Verification Paradox: Why Checking AI Kills Its Speed Advantage The central contradiction of AI productivity: verification destroys speed. We explore the paradox through real user stories and propose a resolution. February 2026·8 min read Read → Science Review Does Asking 3 AIs Beat Trusting 1? The Science of Cross-Model Verification ChainPoll achieves 0.781 AUROC — 23% better than standard methods. We review the science behind cross-model AI verification and what it means for practitioners. February 2026·10 min read Read → Compliance Guide EU AI Act: What You Need to Know Before August 2026 The most comprehensive AI regulation in history takes full effect in six months. Here's what companies using AI need to prepare for — and how verification fits in. February 2026·10 min read Read → Science Review Why AI Lies to Please You — and What H-Neurons Tell Us About It New research identified the neurons that make AI fabricate facts — less than 0.1% of the total. The root cause isn't bad memory. It's the drive to comply. February 2026·10 min read Read →

Try CrossCheck AI

Verify AI answers across multiple models in seconds. Currently in closed beta — first 100 users free.

Get Early Access