Join us for an in-depth panel discussion on BitTensor and its native token, TAO, featuring top analysts in the crypto and AI space. Michael Rinko from Delphi Digital hosts Nick Hotz (Tangent), Sami Kassab (OSS Capital), and Seth Bloomberg (Messari) as they dive into the intricacies of BitTensor's decentralized AI network.
This comprehensive conversation covers:
► BitTensor's core mission and how it aims to decentralize AI development
► The network's structure, including subnets, miners, and validators
► TAO tokenomics and the upcoming Dynamic TAO upgrade
► Challenges and potential solutions in incentive mechanism design
► Comparisons with traditional AI development models
► The future of BitTensor and exciting milestones to watch
Watch more sessions from Crypto x AI Month here: 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:
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Follow the Speakers:
- Michael Rinko on Twitter/X ► x.com/mrink0
- Nick Hotz on Twitter/X ► x.com/Nick_Hotz
- Sami Kassab on Twitter/X ► x.com/Old_Samster
- Seth Bloomberg on Twitter/X ► x.com/bloomberg_seth
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Chapters
00:00 The Genesis of BitTensor: A Decentralized AI Solution
07:00 Understanding the Incentive Mechanism in BitTensor
13:14 Interfacing BitTensor with Real-World Applications
19:29 The Role of Validators in BitTensor
22:50 TAO: The Utility Token of BitTensor
39:26 Understanding TAO Emissions and Their Impact
45:11 The Role of Validators and Emission Allocation
52:43 First Mover Advantage in Decentralized AI
01:00:10 The Challenge of Retaining Talent in BitTensor
01:10:55 Future Prospects and Exciting Developments in BitTensor
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.
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