A discussion with Nick Emmons (Allora) and Himanshu Tyagi (Sentient) examining different approaches to coordinating AI development through decentralized networks. Allura focuses on coordinating multiple models to achieve specific objectives, while Sentient works on open-source model development and value attribution through cryptographic techniques.
Key topics include:
The evolution from Twitter bots to sophisticated AI agents in crypto
Different approaches to model coordination and incentivization
Technical deep-dive into Open Monetizable Loyal (OML) models
Trust verification and cryptographic solutions for AI deployment
The complementary roles of model aggregation and model development
The intersection of crypto infrastructure and AI trustworthiness
Future implications for decentralized AI development
The conversation explores the relationship between AI model development, cryptographic systems, and economic incentives, examining how different projects approach the challenges of building coordinated AI systems.
"I think crypto networks are fundamentally means of turning different nebulous resources into more kind of tangible digital commodities." — Nick Emmons, Allora
Watch more sessions from Crypto x AI Month here: https://delphidigital.io/crypto-ai
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:
Follow the Speakers:
Michael Rinko on Twitter/X ► https://x.com/mrink0
Nick Emmons on Twitter/X ► https://x.com/nick_emmons
Himanshu Tyagi on Twitter/X ► https://x.com/hstyagi
Chapters
00:00 Introduction and Sponsor Acknowledgments
00:48 Discussion of AI Twitter Bots and Market Impact
04:28 The Role of Agents in Crypto Systems
06:54 Evolution of AI Agent Integration
11:46 Understanding Coordination Networks
14:21 Building Model Coordination Solutions
16:19 Initial Use Cases and Development Focus
22:28 Comparison with BitTensor Approach
25:06 Deep Dive into OML Technology
32:39 Trust and Verification in AI Systems
36:40 Objective-Centric AI Paradigm
39:07 Sentient's Complementary Approach
42:10 Current Constraints and Future Development
44:27 The Future of Crypto AI Integration
47:12 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 Research, which makes no representations or warranties of any kind in connection with the contained subject matter. 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.