Two futures are usually offered for artificial intelligence: enclosure by a few owners, or an “openness” that quietly means unmaintained and eventually captured anyway. This area is about a third option — a genuine commons: shared foundations that are neither privately owned nor abandoned, kept alive by explicit governance rather than goodwill.
A Commons for Machine Intelligence covers what a commons really is (tightly governed, not lawless), what is worth holding together in the age of AI, and the unglamorous questions of stewardship that decide whether it lasts.
But the most important thing we hold in common is not data or models. It is the field of participation itself, the shared ecology no participant can stand outside of. That is why capacity a society fails to develop is everyone’s loss, not only the person’s. It is the ground for the case that no geometry is private and that your becoming is the field’s becoming. Some commons were never built at all: the sea, the shore, orbit, and spectrum are natural commons, licensed or crossed, never owned.