A world is any system that is already running with live state: a trading book, a ledger, a weather feed, a fleet. A mind is what accretes on it when you talk to it: ask for a capability, the proposer writes it, the world checks it against its own data, accepts it, and the module fans out to every connected node. Learning is a code load. Memory is the catalogue, with source and docs attached, so the mind can read its own definitions, which weights have never managed. The edge of the mind is the edge of the cluster; a partition is a mind splitting into two that keep thinking separately, and a rejoin is reconciliation at message boundaries, where the two-version rule stops being a BEAM quirk and becomes the mechanism by which a divided mind agrees with itself again.
Crashes are forgetting, and forgetting is a feature. A supervisor tree is an immune system: anything malformed dies and is replaced, and nothing that dies takes the whole mind with it. Models cannot do this. A corrupted weight is a corrupted model; a corrupted process is Tuesday.
The model is not the mind. It's the proposer, a consultant you call when the world needs a capability it doesn't have yet. Once a definition is accepted it's just Lisp, and calling it costs no inference. So the economics invert: every agent framework today pays tokens per action, forever, while this pays tokens per capability, once. The cost of thinking amortizes toward zero and the cost of learning stays bounded by how often the world meets something new. A mind made this way gets cheaper the longer it lives.
And it outlives its proposer. Swap the model, the catalogue stays. Retire the lab, the cluster keeps running. The weights are a contractor; the catalogue is the institution. That's the expanse: not a bigger model, but a world that has been talked to long enough that it no longer needs to be.