The thing that nagged at me halfway through the OpenLedger $OPEN #OpenLedger @OpenLedger task was the word "collaborative." It's everywhere in the framing — collaborative datasets, collaborative model training, community-owned intelligence. And then you look at what's actually being built right now and it's a different shape entirely.

The recent activity is almost entirely bilateral protocol partnerships: DGrid for compute, Story Protocol for rights licensing, Chainbase for Web3 data, PublicAI for labeling, TheoriqAI for agents. Each one is a handshake between two teams, not open contributor activity. Meanwhile CoinMarketCap shows circulating supply has grown from 215.5M to over 290M OPEN, mostly through community reward emissions — yet annual protocol revenue sits around $693K with fees down 23% last week per DeFiLlama. Tokens out, usage not yet following.

I thought about this for a bit after finishing the task. The B2B partnership model might actually be the faster path to a real working AI pipeline. Maybe grassroots data collaboration needs enterprise scaffolding before it can function at scale. That's a reasonable design choice. But it does mean the "collaborative" in collaborative AI development is currently pointing at a very specific group.

Who actually shows up in the Datanets once the partnership infrastructure is in place… that part is still to be written.