Web3+AI: Artificial Intelligence with Community Sovereignty

1. The combination of Web3 and AI can bring community-sovereign artificial intelligence, solve problems such as AI centralization and opacity, and use blockchain technology to optimize the infrastructure construction of the AI industry.
2. The Web3+AI industry landscape is mainly divided into four aspects: computing power layer, data layer, platform layer and application layer, which reduce costs and improve efficiency through decentralization.
3. The computing power layer uses idle hardware resources through a distributed computing power network to reduce the cost of AI computing power, and expands the network scale through token incentives.
4. The data layer realizes data assetization through Web3 technology, optimizes data collection, labeling and distributed storage processes, and improves the low cost and transparency of data acquisition.
5. There are still differences in the development prospects of Web3+AI, but the industry hopes that it can create more valuable products than centralized AI, realize community-based co-governance of AI, and reduce human fear of AI.