I used to think the hardest part of AI was making it smarter. Lately I've started thinking the harder problem is making it accountable. Those aren't the same thing. That's what this deep dive from @GenLayer made me realize. A system built around one final judge will eventually become a system people learn to influence. A system built around independent judgment stays much harder to predict. That's why the random jury idea stood out to me. Validators aren't sitting there waiting to be convinced. They only exist after the dispute begins, and each one reaches its own conclusion. The network isn't looking for identical answers. It's looking for independent answers that arrive at the same meaning. If that confidence disappears, the response isn't "trust us." It's more reviewers, more scrutiny, and another chance to prove the verdict deserves to stand. Maybe the real breakthrough for the agentic economy isn't building AI that never gets things wrong. Maybe it's building a process where no mistake gets to become permanent.