The Future of AI & Web3: Where Do Decentralized Networks Fit In?

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Voltix AI
@VoltixAIMar 29, 2025

The Spaces session focused on the intersection of AI and Web 3, highlighting how decentralized networks can enhance AI transparency, scalability, and resilience against censorship. Guest speakers from Sun Chain, By Data AI, and Flow Tree Network discussed their respective projects. They explored misconceptions about AI in the Web 3 context and addressed challenges and opportunities associated with decentralizing AI. Topics included AI-driven governance, interoperability of blockchain networks, reducing AI bias, and the potential future developments in the sector. The session also offered insights into real-world applications and future expectations for AI's role in decentralized networks.

Summary of Twitter Space Session

Introduction

The session was hosted by Irene from Botics AI, focusing on the future of AI and web 3.0. Featured speakers included Neil from Sun Chain, Agnes from By Data AI, and Tiffany from Flow Tree Network. The discussion revolved around decentralized networks' role in AI, challenges, opportunities, and innovations.

Key Topics Discussed

Role of Decentralized Networks in AI

  • Neil's Perspective: Believes decentralized networks help make AI transparent, open, and fair. Sun Chain uses these networks to leverage AI in gaming, ensuring no single party has control over AI models.
  • Agnes's Perspective: Emphasizes the contrast between traditional centralized AI models and decentralized networks. Decentralization ensures transparency, scalability, and the distribution of data control.
  • Tiffany's Perspective: Argues that decentralized networks redistribute computing power, countering the influence of large tech companies. Flow Tree Network utilizes unused bandwidth to make AI accessible and cost-effective.

Misconceptions About AI in Web 3

  • Neil: Addresses misconceptions that AI is difficult to use and centralized. Emphasizes the role of AI in making development easier and gaming more participatory on Sun Chain.
  • Agnes: Points out the belief that AI requires centralized systems, which By Data AI aims to counteract by integrating AI with decentralized networks.
  • Tiffany: Discusses the misconception of AI as a mere buzzword and highlights Flow Tree Network’s efforts to make AI practical and accessible.

Challenges and Opportunities

  • Decentralized governance and decision-making in DAOs and smart contracts were discussed by Neil, highlighting AI for transparent and fast decision-making.
  • Agnes addressed the conflict between AI's need for vast data and Web 3's ethos of privacy, proposing decentralized networks as a solution.
  • Tiffany focused on interoperability in blockchain, where AI optimizes cross-chain transactions and communication.

Real-World Applications

  • In DAOs: Neil mentioned AI improving participation, transparency, and decision-making in decentralized governance.
  • Bias Reduction: Agnes highlighted that decentralized data can mitigate biases in AI models.
  • Infrastructure Optimization: Tiffany explained that AI enhances efficiency in gaming, DeFi, and NFT verification, removing the need for middlemen.

Future Perspectives

  • Neil's Outlook: Predicts that AI-powered decentralized networks will vastly improve smart DAOs and contracts, making Web 3 safer and more effective.
  • Tiffany's Viewpoint: Identifies computational power as a major bottleneck, advocating for user-powered networks to make decentralized AI mainstream.
  • Agnes's Vision: Envisions a self-sustaining financial system managed by decentralized AI agents, providing efficiency and security.

Conclusion

Final thoughts from each speaker emphasized collaboration and the future potential of AI and decentralized networks. Neil, Agnes, and Tiffany expressed optimism about ongoing partnerships and projects, inviting audiences to follow their developments.

Audience Engagement

The session encouraged audience interaction, offering rewards for insightful questions. The active participation illustrated significant interest in the topics discussed.

This session reflected a comprehensive discussion on how AI and blockchain convergence could address current technological limitations and enhance future web 3 ecosystems.