with @SashaSpiegelman @Tim_Roughgarden @rhhackettWelcome to web3 with a16z. Today we’re talking about the ins and outs of blockchain performance. How does the “speed” of one chain compare to another? What are the tricky ways that people talk about important metrics like throughput and latency? And how do design choices across things like consensus and execution result in performance tradeoffs? Our guest today is Aptos Labs’ Head of Research Sasha Spiegelman, who is helping build out and develop technologies he originally co-created at Meta. We’re also joined by a16z crypto Head of Research and Columbia University professor Tim Roughgarden, who specializes in the intersection of computer science and economics, which is fitting as we dig into technical details throughout.Timestamps:00:00 introduction02:48 understanding blockchain metrics07:59 consensus protocols: PBFT and beyond14:56 innovations from Meta’s Novi to Aptos20:51 optimizing blockchain execution (with BlockSTM)25:23 tech debate: dynamic vs. static parallelism27:55 open source and the prisoner’s dilemma29:15 conclusion***As a reminder, none of the content should be taken as tax, business, legal, or investment advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments.

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