📌Abstract

In the last decade, with the rapid development of technology, Web 1.0 has gradually evolved into Web 2.0, significantly increasing the efficiency of societal operations. However, as Web 2.0 has developed, the drawbacks of centralization have become increasingly apparent. Ownership of personal information and assets does not entirely belong to the users, laying the groundwork for decentralized blockchain technology. "Decentralized Applications of Blockchain Technology" (Smith, J. et al., 2022) points out that after more than a decade of rapid development, blockchain technology is becoming increasingly mature, driving the revolution of Web 2.0 to Web 3.0, albeit still in the early stages and with a long way to go before widespread adoption.

In recent years, breakthroughs from OpenAI have sparked a market frenzy, leading to rapid growth in the AI industry, often referred to as the AI era. In fact, AI technology has existed since the Web 1.0 era, albeit in the form of intelligent algorithms applied to specific modules of Internet products. As mentioned in "The Deep Integration of Artificial Intelligence and the Next Generation Internet" (Brown, L. et al., 2023), internet products are the carriers of AI, as with Web 1.0, so it is with Web 3.0. AI and Web 3.0 will bring about more paradigm innovations and revolutions.

AI needs to move towards decentralization. Current AI products in the market still reflect the centralization features of Web 2.0, where a few companies control core data and assets. "AI and the Future: Risks, Opportunities, and Governance" (White, S. et al., 2024) points out that AI is a remarkable innovation in the history of human civilization, but it also brings potential risks. As AI develops at a pace faster than humans, concentrating AI in the hands of a few individuals poses significant dangers. Therefore, achieving a decentralized form of AI is crucial, not only to mitigate the risks of centralized authority but also to enable everyone to participate in AI development, promote AI innovation processes, serve humanity, and be under human control.

Extending to the innovations derived from the combination of AI with Web 3.0, envisioned possibilities include AI automatic execution and supervision through smart contracts, AI data privacy protection and control based on blockchain, and the establishment of a decentralized AI computing power-sharing network. These innovations will further drive the integration of AI and Web 3.0, opening up new business models and application scenarios.

In conclusion, the integration of AI with Web 3.0 is an inevitable trend. Building a decentralized AI computing power public chain to create an ecosystem of widespread participation and collaboration will be an effective solution to promote the development of AI and Web 3.0. With the continuous advancement of technology, we can expect to see AI and Web 3.0 demonstrate more possibilities for innovation and collaboration in the future.