Centralized AI grows through more compute. Decentralized AI grows through people.

One scale is about bigger machines. The other scales through participation.

Here's what shifts things: when you keep humans in the feedback loop, your models don't just get larger—they get smarter. The difference compounds over time.

That's not just infrastructure. That's fundamentally different architecture.

In Web3 terms, one optimizes for velocity, the other for alignment with distributed intelligence. The choice shapes everything downstream.