Why Should Artificial Intelligence Be Decentralized?

The intersection of Web3 and artificial intelligence (AI), particularly generative neural networks, is a hot topic in the crypto community. AI is transforming many areas, but its integration with Web3 raises concerns about maintaining decentralization, security, and transparency. While decentralization offers significant benefits, not all processes, including AI, may fully benefit from it. Centralized control over AI poses risks, such as monopolization and lack of transparency. Decentralizing AI could address these issues, but it's challenging due to the complexity of AI models and the significant resources required for their development. The main areas for AI decentralization include computation, data, optimization, evaluation, and infrastructure. Achieving this could prevent a future where AI is monopolized by powerful entities, although technical and regulatory challenges remain. Ultimately, while decentralization can mitigate some risks, it’s not a complete solution, and careful implementation is needed to ensure AI benefits all of humanity.