For years, Ethereum has encouraged and empowered thousands of individuals to run their own nodes and Web3 infrastructure from home — staking, validating, and helping decentralize the internet. Self-sovereignty and coordination are at the core of Ethereum.

Now, we’re bringing that same ethos to artificial intelligence.

As AI becomes the most powerful coordination and computation force of our time, it risks centralizing even faster than finance once did. What if we could run AI like we run nodes — locally, privately, and in a peer-to-peer network of self-sovereign machines?

This talk explores the next chapter for decentralized infrastructure: running open-source AI models at the edge, where users control their data and intelligence flows freely without gatekeepers. From validators to local AI orchestrators, we’ll look at how Ethereum’s principles can shape a new era of distributed intelligence.