In this episode, we dive into the architecture of decentralized AI systems and what it takes to build privacy-preserving infrastructure at scale. Harish Kotra, Head of Developer Relations at Gaia Network, walks us through the technical pieces behind training safe AI—from vector databases and inference nodes to tool-calling and domain design. We explore why centralization creates risks for privacy, resilience, and developer autonomy, and how concepts like sovereignty, transparency, and accessibility shape the future of confidential AI.

Phala Docs: https://docs.phala.network

Gaia Docs: https://docs.gaianet.ai/?ref=blackboxpodcast

Run Gaia Nodes on Phala’s TEE: https://dev.to/gaiaai/running-gaia-ai-nodes-on-phalas-trusted-execution-environment-3cf2