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Dry Run

Eshita Nandini + Khushi Wadhwa

Explaining ideas in frontier technology with experts.

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Avsnitt

22 avsnitt

  1. How does gold lending work? | Chunda McCain, Paxos Labs 30:03
  2. What does rare AI behavior mean for safety? | Zach Horvitz, Columbia University 32:46
  3. What is an open weight model? | Shiv Shankar, Boundless 39:54
  4. How is the AI buildout financed? | Austin Campbell, Zero Knowledge 36:26
  5. Why is it so hard to get data for robots? | Naman Kapasi, Nirvana 37:13
  6. How GTM Engineers Are Rebuilding Sales | Everett Berry, Clay 32:48
  7. How do agentic payments work? | Lincoln Murr, Coinbase 31:28
  8. Why the best designers make the worst employees | Simon Corry (Basis, Ramp) 37:06
  9. From Louis Vuitton to Stablecoin Orchestration: How Digital Assets Solve Card Payments | Gap, Suby 42:47
  10. What AI Trading Agents Are Doing With Your Money 28:49
  11. Are Crypto Wallets Dead? The Future of Embedded Wallets & Agentic Payments 22:12
  12. Agents, Creators, and the Pay-Per-Use Internet 34:19
  13. Lessons From Building the First Killer App 49:54
  14. Does Fairness Matter in Prediction Markets? 37:31
  15. Innovation Isn't the Hard Part in Payments 42:59
  16. Eliminating Insider Trading in Prediction Markets 41:57
  17. Where Does Yield Come From? 22:07
  18. Scaling Privacy in Crypto 28:18
  19. Stablecoin Payments at Scale 27:10
  20. Are RWAs DeFi? 31:11
  21. Stripe's Crypto Product Strategy 31:00
  22. Prediction Markets Beyond Polymarket & Kalshi 35:22