Tom Shaughnessy & Tarun Chitra , The Delphi Podcast

Tarun Chitra: Drinking 3 Redbulls a Day, Gauntlet’s Financial Modelling Platform, and the Future of Governance

29 Dec 2021 • 62 min • EN
62 min
00:00
01:02:20
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The Delphi Podcast Host and GP of Delphi Ventures Tom Shaughnessy sits down with Tarun Chitra, Founder of Gauntlet, a financial modelling platform that uses battle-tested techniques from the algorithmic trading industry to inform on-chain protocol management. The two discuss the intricacies of Gauntlet’s risk models, the future of governance, the state of artificial intelligence, and much more! Show Notes:  (00:00:00) – Introduction. (00:01:23) – Tarun’s background / Moving into crypto. (00:16:44) – Overview of Gauntlet. (00:26:06) – Updating risk models. (00:30:16) – Are risk models independent? (00:34:27) – Getting to full automation. (00:41:29) – The future of governance. (00:45:58) – Automated governance modelling.  (00:49:09) – Sophisticated AI attack vectors. (00:52:12) – Thoughts on the state of AIs. (00:58:05) – Biggest goal for Gauntlet in the next year. (00:59:19) – Tarun’s favorite hair color. Social links:  Tarun’s Twitter Gauntlet Twitter Resources:  Delphi Podcast Summaries Gauntlet Website Gauntlet Blog More 📺 Watch Video Interviews 💬 Follow Delphi Podcast on Twitter ✅ Follow Delphi Digital on Twitter 🧠 Access Delphi's Research Disclosures: This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Digital may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token. Delphi’s transparency page can be viewed here.

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