What's the difference between a subnetwork in our ecosystem and a blockchain? Honestly, not much. At their core, many blockchains rely on a Kademlia Distributed Hash Table (KAD-DHT). You can think of the DHT as the circulatory system of a blockchain: it's how nodes discover each other, exchange data, route messages, and maintain a shared view of the network. All of this happens in a decentralized, trustless, peer-to-peer environment. This communication layer is what enables Web3 to exist at all—and it's the same foundation that will enable decentralized AI to exist. Every subnetwork in our ecosystem is built on this same DHT layer as a validated requirement (validated by the Overwatch layer). But here's where the paths diverge: Traditional blockchains introduce other features that are great for financial logic, but extremely limiting for high-compute workloads like LLM inference, fine-tuning, and multi-agent coordination. So we took a different approach. We removed the compute-limiting pieces of blockchains and kept the decentralized, fault-tolerant, trustless networking layer. Then we added the ability for nodes to host, run, and collaborate on heavy AI workloads directly. That's the purpose of our Subnetwork Template (releasing soon). This framework enables developers to: - Decentralize AI models themselves (e.g., distribute transformer blocks across many nodes) - Run or share in training - Deploy multi-agent systems - Collaborate or compete in decentralized AI markets - Build AI systems that don't rely on centralized cloud providers We're building toward a world where AI is P2P, where compute is distributed, and where models, training, and agents can all live in a trustless, decentralized network of nodes. We are ensuring the post-AI world is P2P, trustless, and decentralized.