Chapter 3: Deep-Seated Differences Between AI and Web3 in Concepts and Goals

There are obvious technical barriers to the integration of AI and Web3, stemming not only from differences in technological implementation but also from divergences in deeper concepts and goals. On one hand, AI relies on the ability to process and analyze large amounts of data, while Web3 emphasizes decentralization and privacy protection of user data. AI systems need to collect and analyze huge amounts of user data to achieve accurate predictions and decisions, conflicting with Web3's principles of protecting user data from centralized control. In addition, the efficient operation of AI usually relies on centralized computing resources, while Web3's blockchain technology is based on a decentralized network. These differences in infrastructure pose technical challenges for integrating AI into Web3 platforms. On the other hand, when dealing with real-time big data, especially in deep learning and complex model training, AI technology requires an enormous amount of computing resources. Blockchain technologies also require massive computing resources to execute smart contracts and maintain network consensus. This dual resource demand creates practical difficulties in resource allocation and optimization. In addition, the rapid evolution of AI and the constant advancement of Web3 technologies bring extra complexity to their effective integration. Therefore, truly realizing the profound integration of AI and Web3 requires not only overcoming technical difficulties, but more importantly achieving consensus on concepts and goals. This means AI development needs to embrace data privacy and decentralization principles more deeply, while applications of Web3 technology need to consider more thoroughly how to leverage AI to enhance intelligence and improve user experience. Such integration will not happen overnight, but requires interdisciplinary cooperation, continuous innovative exploration, and thoughtful redesigning and adjusting of existing technical architectures.

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