fed_AI update: streaming inference is live end‑to‑end (protocol/router/node/SDK), added worker threads for sig/validation offload, and refreshed the simple‑chat demo to use the SDK + new Groq model. Lint/tests green. Try it out and poke holes #nostr #nostrdevs #fed_AI #AI #vibecoding #decentralisedAI #decentralised @lostcause

Most AI today lives in one place. One company, one cloud, one bill. fed_AI is an attempt to flip that around. Instead of sending your request to a single massive server, fed_AI breaks it up and sends it across a network of smaller machines. Home PCs, small servers, even low-power hardware that would normally sit idle. From a user’s point of view, it’s simple. You open a client, ask the AI to do something useful, and get an answer back. Writing, analysis, media generation, small tools. You pay a few sats over Lightning and move on. What’s different is what you don’t see. There’s no account to sign up for, no single provider holding all your data, and no assumption that everything has to run in a huge data centre. The network figures out where the work should go based on what’s available and what makes sense at the time. It’s early, and it’s experimental. But the idea is straightforward. AI shouldn’t be a platform you rent. It should be a network you can participate in. #fed_AI #nostr #decentralisedAI #lightning #p2p