Decentralized Technologies for AI Hubs

• URL: http://arxiv.org/abs/2306.04274v1
• Date: Wed, 7 Jun 2023 09:18:56 GMT
• Title: Decentralized Technologies for AI Hubs
• Authors: Richard Blythman, Mohamed Arshath, Salvatore Vivona, Jakub Sm\'ekal, Hithesh Shaji
• Abstract summary: AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs. These limitations include high costs, lack of monetization and reward, lack of control and difficulty of reward. We suggest that these infrastructural components can be used in combination in the design and construction of decentralized AI Hubs.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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