>> Crypto data alpha here << AI labs are paying billions for data. The edge moves to whoever owns the inputs. Mercor runs at $2B a year. micro1 set aside $1B to buy company data. Google bid $10M for a bankrupt airline's files. Every dataset goes through 7 steps before a model can use it. Crypto now has teams on each step. Save this map: ❱ Collect Step 1: raw input enters the pipeline. @grass, @teneo_protocol, @PublicAI_ ❱ Physical Step 2: robots learn from the real world. @psdnai, @BitRobotNetwork, @frodobots, @PrismaXai, @reborn_agi ❱ Label and rate Step 3: raw data becomes training-grade. @codatta_io, @PerleLabs, @reppo, @FractionAI_xyz, @opentensor ❱ Own Step 4: users set the price and the permission. @vana, @DIMO_Network, @oceanprotocol ❱ Provenance Step 5: every byte carries its source and rights. @datafdn, @OpenledgerHQ, @numbersprotocol ❱ Store Step 6: datasets and models live in verifiable storage. @WalrusProtocol, @Filecoin, @ArweaveEco, @0G_labs, @irys_xyz ❱ Query Step 7: models pull answers with proof attached. @spaceandtime, @graphprotocol, @ChainbaseHQ The market already picked its first winners. GRASS +94% and WAL +89% in 30 days. Collection and storage got paid first. Inference made AI cheap in 2026. Data decides who wins in 2027.