So here's the thing with most DAO governance models — they're clunky, prone to manipulation, and honestly, they don't solve the fundamental problems baked into human decision-making. The ideals sound good on paper, but execution? That's where it falls apart.

Now look at ICP's Network Nervous System. This isn't just another governance layer throwing around buzzwords. It's processed thousands of proposals and kept the entire Internet Computer network running with full automation — no bottlenecks, no committee handwaving. That's what happens when you architect governance for actual scalability instead of theoretical elegance.

The difference is stark. While conventional DAO structures struggle with voter apathy, proposal spam, and capture risks, a system designed from the ground up for autonomous operation handles complexity at scale. The network doesn't need constant human intervention to function smoothly.

It raises a real question: if governance automation can work this effectively, why are we still tolerating the friction and vulnerabilities in traditional DAO setups?