Incentivizing Decentralized Networks

This chapter explores strategies for creating effective incentives in decentralized computing networks, distinguishing between bootstrapping and post-establishment growth. It emphasizes understanding customer behavior and discusses advanced approaches like zero-knowledge proofs to improve AI model training and verification. Furthermore, it reflects on the successes and challenges of integrating a token model with product market fit while considering the implications of open-source contributions in the Web3 AI landscape.

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