It’s fashionable right now to declare that “non-financial use cases of crypto are dead.” Some people also claim that read write own has failed. These conclusions misunderstand both the thesis and the stage we’re in.
We are clearly in the fina
AI systems are breaking an internet that was designed at human-scale — by making it cheaper than ever to coordinate, transact, and generate voice, video, and text that are increasingly indistinguishable from human activity. We’re already beset w
So-called roll-ups need to make a lot of data available for their users, which affects the transaction costs on those roll-ups. Lera Nikolaenko (a16z crypto) introduces approaches to distributed data-storage using erasure codes, and explains different approaches for achieving consensus around data-availability, including longest-chain-style and BFT-style protocols. Lera explains how Data-Availability Sampling (DAS) helps build a longest-chain-style consensus protocol, and goes into depth on one particular instantiation of DAS proposed for Ethereum by Dankrad Feist called Danksharding.
About the speaker
Lera is a Research Partner at a16z crypto. Her research focuses on cryptography and blockchain security, she has worked on topics such as long-range attacks in PoS consensus protocols, signature schemes, post-quantum security and multi-party computation. She holds a PhD in Cryptography from Stanford University under advisorship of Prof. Dan Boneh, and has been working on the Diem blockchain as part of the core research team. https://www.valerini.com/
About a16z crypto research
a16z crypto research is a multidisciplinary lab that works closely with our portfolio companies and others toward solving the important problems in the space, and toward advancing the science and technology of the next generation of the internet. More about us: a16z.com/2022/04/21/announcing-a16z-crypto-research