Proof of Sampling Protocol: Incentivizing Honesty and Penalizing Dishonesty in Decentralized AI Inference
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In decentralized AI, ensuring the integrity and reliability of GPU providers is crucial. The Proof of Sampling (PoSP) protocol, as outlined in recent research from Holistic AI, provides a sophisticated mechanism to incentivize good actors while slashing bad ones. Let's see how this protocol works, its economic incentives, penalties, and its application to decentralized AI inference.
Incentives for Honest Behavior
Economic Rewards
At the heart of the PoSP protocol are economic incentives designed to encourage honest participation. Nodes, acting as asserters and validators, are rewarded based on their contributions:
- Asserters: Receive a reward (RA) if their computed output is correct and unchallenged.
- Validators: Share the reward (RV/n) if their results align with the asserter's and are verified as correct.