This week, Anna catches up with Guillermo Angeris, Alex Evans and Tarun. The conversation charts their research on CFMMs, AMMs and related primitives and explores the goals and methodology of this work. They also revisit the topic of private AMMs and specifically their recent work on using differential privacy to achieve a more private system.

Here are some links for the episode:

• Paper: Replicating Market Makers
• ob.pdf">Paper: How Liveness Separates CFMMs and Order Books
• monotone.pdf">Paper: Replicating Monotonic Payoffs Without Collateral
• dp.pdf">Paper: Differential Privacy in Constant Function Market Makers
• chapter.pdf">Paper: Constant Function Market Makers: Multi-Asset Trades via Convex Optimization
• Paper: Replicating Market Makers
• mev.pdf">Paper: A Note on Bundle Profit Maximization
• lending.pdf">Paper: A Note on Borrowing Constant Function Market Maker Shares
• curvature.pdf">Paper: When does the tail wag the dog? Curvature and market making

Learn ->> ZK Hack - learn - now until December 7th, attend ZK workshops & solve ZK puzzles

Build ->> ZK Jobs Board - find new opportunities in the ZK space!

Meet ->> ZK Jobs Fair - December 2nd, meet top zk projects that are hiring.

Today’s episode is sponsored by Aztec.

Aztec aims to be the privacy layer for Ethereum. They believe that unlocking programmable privacy is the next frontier for blockchains. Aztec is the first zero knowledge rollup built from the ground up for anonymous payments and DeFi transactions.

Join the thousands of users already sending funds privately on zk.money.

If you like what we do: Follow us on Twitter - @zeroknowledgefm Join us on Telegram Catch us on Youtube Read up on the r/ZKPodcast subreddit Give us feedback! -https://forms.gle/iKMSrVtcAn6BByH6A Support our Gitcoin Grant Support us on the ZKPatreon Donate through coinbase.commerce

This week, Anna catches up with Guillermo Angeris, Alex Evans and Tarun. The conversation charts their research on CFMMs, AMMs and related primitives and explores the goals and methodology of this work. They also revisit the topic of private AMMs and specifically their recent work on using differential privacy to achieve a more private system.

Here are some links for the episode:

• Paper: Replicating Market Makers
• ob.pdf">Paper: How Liveness Separates CFMMs and Order Books
• monotone.pdf">Paper: Replicating Monotonic Payoffs Without Collateral
• dp.pdf">Paper: Differential Privacy in Constant Function Market Makers
• chapter.pdf">Paper: Constant Function Market Makers: Multi-Asset Trades via Convex Optimization
• Paper: Replicating Market Makers
• mev.pdf">Paper: A Note on Bundle Profit Maximization
• lending.pdf">Paper: A Note on Borrowing Constant Function Market Maker Shares
• curvature.pdf">Paper: When does the tail wag the dog? Curvature and market making

Learn ->> ZK Hack - learn - now until December 7th, attend ZK workshops & solve ZK puzzles

Build ->> ZK Jobs Board - find new opportunities in the ZK space!

Meet ->> ZK Jobs Fair - December 2nd, meet top zk projects that are hiring.

Today’s episode is sponsored by Aztec.

Aztec aims to be the privacy layer for Ethereum. They believe that unlocking programmable privacy is the next frontier for blockchains. Aztec is the first zero knowledge rollup built from the ground up for anonymous payments and DeFi transactions.

Join the thousands of users already sending funds privately on zk.money.

If you like what we do: Follow us on Twitter - @zeroknowledgefm Join us on Telegram Catch us on Youtube Read up on the r/ZKPodcast subreddit Give us feedback! -https://forms.gle/iKMSrVtcAn6BByH6A Support our Gitcoin Grant Support us on the ZKPatreon Donate through coinbase.commerce