March 24th, 2021 | 1 hr 17 mins
amms, blockchain, cfmm, defi, inverse design, optimization theory, privacy
This week, Anna & Tarun take an in-depth look into AMMs with Guillermo Angeris, a PhD student in Stanford who co-authored a number of papers on fundamental AMM properties. His most recent paper deals with privacy in AMMs, effectively demonstrating how superficial attempts at making a private AMM are doomed. But there is hope! And in this conversation, they explore some mitigations that can not only allow for effective use of privacy in AMMs, but could provide benefits from its inclusion.