mlsanityData to 14 Oct 2026

Web3 Meets AI Marketplace: Exploring Opportunities, Analyzing Challenges, and Suggesting Solutions

arXiv 2310.19099 ↗First posted 29 Oct 2023cs.AI cs.CE cs.CRcited by 1

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Abstract (arXiv)

Web3 and AI have been among the most discussed fields over the recent years, with substantial hype surrounding each field's potential to transform the world as we know it. However, as the hype settles, it's evident that neither AI nor Web3 can address all challenges independently. Consequently, the intersection of AI and Web3 is gaining increased attention, emerging as a new field with the potential to address the limitations of each. In this article, we will focus on the integration of web3 and the AI marketplace, where AI services and products can be provided in a decentralized manner (DeAI). A comprehensive review is provided by summarizing the opportunities and challenges on this topic. Additionally, we offer analyses and solutions to address these challenges. We've developed a framework that lets users pay with any kind of cryptocurrency to get AI services. Additionally, they can also enjoy AI services for free on our platform by simply locking up their assets temporarily in the protocol. This unique approach is a first in the industry. Before this, offering free AI services in the web3 community wasn't possible. Our solution opens up exciting opportunities for the AI marketplace in the web3 space to grow and be widely adopted.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 39 references that are in the map. First posted on arXiv 29 Oct 2023.

Builds on

6 of 39 references.

References · 6

  1. 2014IPFS - Content Addressed, Versioned, P2P File Systemcited by 70
  2. 2018A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networkscited by 11
  3. 2019Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-based Distributed Deep Learningcited by 10
  4. 2021An Overview of Forks and Coordination in Blockchain Developmentcited by 1
  5. 2022Not so immutable: Upgradeability of Smart Contracts on Ethereumcited by 1
  6. 2023Can Blockchains Reliably Train Machine Learning Models?cited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.