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Zero Knowledge
Episode 310: Algorithmic Game Theory & PoS Tokenomics with Noam Nisan
Feb 7, 2024
01:06:42
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Noam Nisan, a pioneer in Algorithmic Game Theory, discusses his research and tokenomics for PoS systems. Topics include complexity theory, best practices for designing systems, pricing transactions, Layer 2 solutions, MEV, and shared sequencers. They also explore the role of zero knowledge in Starks and the possibility of Starknet as a federated system.
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Quick takeaways
- Noam Nisan shares insights on best practices for designing proof-of-stake (POS) systems.
- The challenge of achieving perfect incentive compatibility in transaction fee systems and potential solutions to mitigate MEV.
Deep dives
Podcast Summary: Exploring Noam Nissan's Research and Academic Background
In this podcast episode, the hosts interview Noam Nissan, a professor at the Hebrew University of Jerusalem and principal researcher at Starkware Industries. They discuss Noam's extensive research background, beginning with his work on complexity theory and his transition to algorithmic game theory. They also delve into his current focus on game theory and blockchains, specifically exploring tokenomics and best practices for designing proof-of-stake (POS) systems. Noam shares insights from his recent blog post comparing measurable tokenomic outcomes of different live POS systems and expresses his aim to communicate best practices for system designers. Additionally, they touch on the challenges of analyzing models with L2s, cross-chain transactions, and MEV. While the problems are not solved in this interview, the discussion provides an engaging exploration of these topics.
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