How Things Work #1: Partially Ordered Datasets

For the second episode of "How Things Work", we chat with Shresth Agrawal about pod's recent work into Partially Ordered Datasets and how they can be used to deploy low-latency blockchain applications. We first discuss where pod originated and how different applications can be built without relying on total order. Then, we discuss how pod's recent work (Pod: An Optimal-Latency, Censorship-Free, and Accountable Generalized Consensus Layer) can provide the properties most applications want without running traditional consensus. Lastly, we explore how pod can be used as the backbone of complex gadgets that rely on censorship-resistant auctions. *** Speakers *** * Patrick O'Grady (Commonware): https://x.com/_patrickogrady * Shresth Agrawal (pod): https://x.com/shresth3103 *** References *** * Pod (An Optimal-Latency, Censorship-Free, and Accountable Generalized Consensus Layer): https://arxiv.org/abs/2501.14931 * Demystifying pod-core: https://pod.network/blog/demystifying-pod-core * Sui Lutris (A Blockchain Combining Broadcast and Consensus): https://arxiv.org/abs/2310.18042 * ABC (Proof-of-Stake without Consensus): https://arxiv.org/abs/1909.10926