AI agents are making high-stakes decisions right now - trading, diagnosing, contracting - and no governance framework actually works.

I've spent 20 years studying governance failures. From hedge funds to DAOs to AI. The pattern is always the same: static rules chasing dynamic systems.

In my new video, I break down why every current approach to AI governance fails structurally, and present the WDAG architecture - a decentralized, dynamic governance framework I've developed across three peer-reviewed papers.

Key insight: Centralized safety boards (like OpenAI's) can be dissolved by the companies they oversee. Decentralized reputation systems can't.

This is the first in a series of turning my 124+ academic papers into visual explainers.

🎥 Watch: