.@JoinSapien isn’t just crowdsourcing AI training, it’s scaling trust. The Data Trust Loop forms a closed system: matching → staking → peer review → reputation. Every action feeds back into quality. Key highlights: - Peer Review QC: Top users validate work, turning reputation into governance. - Staking & Slashing: Accountability is enforced through collateral. - Reputation = Access: Earn more by proving quality—no shortcuts. This decentralized architecture replaces central QA with incentivized integrity, ensuring AI is trained on peer-reviewed, stake-backed, reputation-validated data. That’s Proof of Quality.