Top experts debate the convergence of AI and crypto, exploring how decentralized technologies and incentive structures can drive AI innovation.

In this panel discussion hosted by Yan Liberman as part of our Crypto x AI virtual conference, industry leaders share insights on:

- The decentralized AI stack from compute and data to applications

- Leveraging crypto primitives to coordinate and incentivize key AI resources

- Demand-side considerations and potential use cases for decentralized AI

- The relationship between network utility, speculation, and value in AI tokens

- Advantages of decentralized infrastructure and crypto-economic models for AI

- Experiments with autonomous AI agents utilizing novel economic rails

- Regulatory environment impact on DeAI network development

- Current state of crypto AI ecosystem and future evolution

Panelists include:

- Shayon Sengupta (Multicoin Capital)

- Marc Weinstein (Mechanism Capital)

- Anand Iyer (Canonical Crypto)

- Ed Roman (Hack VC)

The wide-ranging discussion covers the frontier of decentralized AI from deep dives on decentralized computing resources to the long-term potential of AI agents exhibiting autonomous economic behavior. The panel explores the opportunities and challenges in harnessing crypto networks and incentive structures to enable open, decentralized AI systems and innovation.

Watch more sessions from Crypto x AI Month here: https://delphidigital.io/crypto-ai

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Crypto x AI Month is the largest virtual event dedicated to the intersection of crypto and AI, featuring 40+ top builders, investors, and practitioners. Over the course of three weeks, this event brings together panels, debates, and discussions with the brightest minds in the space, presented by Delphi Digital.

Crypto x AI Month is free and open to everyone thanks to the support from our sponsors:

https://olas.network/

https://venice.ai/

https://near.org/

https://mira.foundation/

https://www.theoriq.ai/

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Follow the Speakers:

- Yan Liberman on Twitter/X ► https://x.com/yanliberman

- Anand Iyer on Twitter/X ► https://x.com/ai

- Ed Roman on Twitter/X ► https://x.com/ed_roman

- Shayon Sengupta on Twitter/X ► https://x.com/shayonsengupta

- Marc Weinstein on Twitter/X ► https://x.com/warcmeinstein

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Chapters

00:00 Introduction and Sponsor Acknowledgments

00:52 Panel Introduction and Topic Overview

04:48 Understanding the Crypto AI Stack

07:05 Crypto and AI as Opposing Technologies

11:12 Data and Compute Infrastructure

15:32 Capital Formation and Market Dynamics

20:25 Token Design and Value Accrual

25:00 Current Liquid Market Landscape

31:46 Evolution of Attention vs Utility

35:28 AI Agent Market Development

41:59 Defining AI Agents and Their Capabilities

47:36 Discussion on GOAT and Autonomous Agents

52:40 Future Timeline and Closing Thoughts

Disclaimer

All statements and/or opinions expressed in this interview are the personal opinions and responsibility of the respective guests, who may personally hold material positions in companies or assets mentioned or discussed. The content does not necessarily reflect the opinion of Delphi Citadel Partners, LLC or its affiliates (collectively, “Delphi Ventures”), which makes no representations or warranties of any kind in connection with the contained subject matter. Delphi Ventures may hold investments in assets or protocols mentioned or discussed in this interview. This content is provided for informational purposes only and should not be misconstrued for investment advice or as a recommendation to purchase or sell any token or to use any protocol.

Incentivizing Innovation: Role of Liquid Tokens in Decentralized AI Networks | Crypto x AI Event

The Delphi Podcast

Incentivizing Innovation: Role of Liquid Tokens in Decentralized AI Networks | Crypto x AI Event