Subject
3 entries
P2p
Bookmarks
Rakis Stability Test 1: Results from a Month of Running an AI Network
Rakis ran Stability Test 1: a month-long production test of a fully in-browser peer-to-peer AI inference network. 10 million tokens across ~2,000 nodes with embedding-based consensus for verification — early evidence that browser-native decentralized AI inference is viable.
DISCO: Decentralized Privacy-Preserving ML Training
DISCO (from EPFL) is a decentralized, privacy-preserving ML training framework using peer-to-peer networking — no central server, nodes train locally and share model updates directly. Extends federated learning to remove the trusted aggregator requirement.
Radicle: Peer-to-Peer Code Collaboration
Radicle is a peer-to-peer code collaboration stack built on Git — no central server, no platform dependency, repositories hosted on a distributed network. The decentralized alternative to GitHub for sovereign code hosting.