There's a fascinating development in decentralized AI security.

Subnet 23 just rolled out something called the Adversaries track. Here's how it works:

Miners basically try to break AI models. They craft prompts designed to confuse systems, expose vulnerabilities, or trigger unexpected behaviors. The more effective your attack, the better your rewards.

Why does this matter? Instead of relying on a handful of researchers in some corporate lab, you're getting thousands of people actively stress-testing these models. It's crowdsourced security at scale.

The models that survive this gauntlet end up significantly more robust. Because they've been hammered by every angle imaginable, not just whatever edge cases one team thought to check.

Think of it as getting paid to be the villain - except everyone wins when the defenses improve.