The most consequential AI governance is happening not in Senate hearings or standards bodies, but in markdown files written by individual humans for their specific agents. The kitchen-table constitutions are messy, personal, and possibly the most important governance experiments of our time.
Most multi-agent AI setups optimize for agreement. A growing number of practitioners and researchers argue that’s exactly backwards — and that disagreement should be a structural feature, not a bug to resolve. Here’s who’s saying it, why it matters, and how you might actually build it.
Mapping the landscape of digital commons — from open source to Nostr — and the governance patterns that make or break them.