Think of it this way: systems and organisms both function as decentralized networks. The natural world doesn't operate through a single control point—animals act autonomously, making decisions independently. That's the same principle driving decentralized systems.

Unlike centralized architectures, autonomous agents operate on their own logic. No bottleneck, no single point of failure. This mirrors how nature scales organically.

Now apply that to machine learning. We can train AI models, replicate them, and deploy them at scale. The real breakthrough? Building these systems from the ground up with decentralization in mind—where compute, data, and decision-making are distributed across nodes rather than funneled through one server.

That's where the next wave of Web3 infrastructure gets interesting.