AI与区块链互补共生，共筑去中心化智能未来
Counterweights and Complementarities: The Convergence of AI and Blockchain Powering a Decentralized Future
- 提出用区块链对抗大模型集中化趋势
- 区块链实现去中心化数据与治理，保障隐私
- 适合关注去中心化AI与技术融合的研究者
本文探讨人工智能（AI）与区块链技术的关键交汇点，指出前者因大型语言模型（LLMs）导致的数据和资源垄断而呈现强集中化趋势，后者则凭借去中心化、透明性与安全性提供制衡。二者并非对立，而是具有互补优势：区块链可实现去中心化的数据管理、计算与治理，提升包容性与用户隐私；AI则通过自动化智能合约管理、内容推荐与威胁检测，增强区块链的效率与安全。核心主张是发展「去中心化智能」（DI）——一个专注于构建无需中心控制的智能系统之跨学科研究领域。
原文摘要 · Abstract (English)
This editorial addresses the critical intersection of artificial intelligence (AI) and blockchain technologies, highlighting their contrasting tendencies toward centralization and decentralization, respectively. While AI, particularly with the rise of large language models (LLMs), exhibits a strong centralizing force due to data and resource monopolization by large corporations, blockchain offers a counterbalancing mechanism through its inherent decentralization, transparency, and security. The editorial argues that these technologies are not mutually exclusive but possess complementary strengths. Blockchain can mitigate AI's centralizing risks by enabling decentralized data management, computation, and governance, promoting greater inclusivity, transparency, and user privacy. Conversely, AI can enhance blockchain's efficiency and security through automated smart contract management, content curation, and threat detection. The core argument calls for the development of ``decentralized intelligence'' (DI) -- an interdisciplinary research area focused on creating intelligent systems that function without centralized control.
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