Web3, as a new paradigm of the internet that is decentralized, open, and transparent, has a natural opportunity for integration with artificial intelligence. Under the traditional centralized architecture, AI computing and data resources are strictly controlled, facing numerous challenges such as computing power bottlenecks, privacy breaches, and algorithmic opacity. In contrast, Web3 is based on distributed technology and can inject new momentum into AI development through shared computing power networks, open data markets, and privacy computing. At the same time, AI can also empower Web3 in many ways, such as optimizing smart contracts and developing anti-cheating algorithms, thus aiding its ecological construction. Therefore, exploring the combination of Web3 and AI is crucial for building the next generation of internet infrastructure and unleashing the value of data and computing power.
Data-driven: The solid foundation of AI and Web3
Data is the core driving force behind AI development, just as fuel is to an engine. AI models need to digest a large amount of high-quality data to gain insights.