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DeAI: In the Era of AI's 'Wild Growth', Why Web3 is Needed to Govern It

The article "DeAI: Why Web3 Governance is Needed in the Era of AI's 'Wild Growth'" discusses the rise of decentralized AI (DeAI) as a counterpoint to the current centralized AI paradigm. It highlights two major concerns with centralized AI: the lack of verifiability in model outputs and the scalability limitations of centralized infrastructure. DeAI addresses these issues through verifiable compute, using cryptography and consensus mechanisms to ensure transparent and provable model execution. This approach not only builds trust in AI outputs but also enables cross-border collaboration. Projects like Prime Intellect and Inference Labs are already exploring distributed, verifiable inference on decentralized GPU networks. Economically, DeAI aligns with the industry's shift from raw computational power (Return-on-GPU) to efficiency and value-oriented推理. A permissionless, global network of heterogeneous GPUs could compete with centralized providers like AWS on cost while offering greater transparency. Moreover, DeAI promises to democratize AI development, allowing contributors—whether providing compute, data, or applications—to participate in governance and share rewards. Although still in early stages, DeAI represents a path toward ethical, open, and decentralized AI ecosystems, complementing rather than replacing centralized models.

marsbit01/06 09:29