Decentralized Technologies for AI Hubs
This addresses infrastructure problems for AI researchers and developers, but it appears incremental as it builds on existing decentralized tech concepts.
The paper tackles the limitations of current AI Hubs—such as high costs, lack of monetization, and reproducibility issues—by exploring how decentralized technologies like Web3 wallets, peer-to-peer marketplaces, and DAOs can be combined to design decentralized AI Hubs, though no concrete results or numbers are provided.
AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs. AI Hubs have contributed significantly to the democratization of AI. However, existing implementations are associated with certain benefits and limitations that stem from the underlying infrastructure and governance systems with which they are built. These limitations include high costs, lack of monetization and reward, lack of control and difficulty of reproducibility. In the current work, we explore the potential of decentralized technologies - such as Web3 wallets, peer-to-peer marketplaces, storage and compute, and DAOs - to address some of these issues. We suggest that these infrastructural components can be used in combination in the design and construction of decentralized AI Hubs.