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Theory to Code: Building the Breakthrough zkVM Jolt

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Content provided by Andreessen Horowitz, A16z crypto, Sonal Chokshi, and Chris Dixon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andreessen Horowitz, A16z crypto, Sonal Chokshi, and Chris Dixon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

with @SuccinctJT @samrags_ @moodlezoup @rhhackett

Welcome to web3 with a16z, a show about building the next era of the internet by the team at a16z crypto. That includes me, host Robert Hackett. Today's all new episode covers a very important and now fast developing area of technology that can help scale blockchains, but that also has many uses beyond blockchains as well.

That category of technology is verifiable computing, and specifically, SNARKs. So today we dig into zkVMs, or "zero knowledge virtual machines," which use SNARKs, and we discuss a new design for them that the guests on this episode helped develop — work that resulted in Jolt, the most performant, easy-for-developers-to-use zkVM to date.

The conversation that follows covers the history and evolution of the field, the surprising similarities between SNARK design and computer chip architecture, the tensions between general purpose versus application specific programming, and the challenges of turning abstract research theory into concrete engineering practice.

Our guests include Justin Thaler, research partner at a16z crypto and associate professor of computer science at Georgetown University, who came up with the insights underpinning Jolt, along with collaborators from Microsoft Research, Carnegie Mellon, and New York Universities. His is the first voice you'll hear after mine, followed by Sam Ragsdale, investment engineer at a16z crypto, and Michael Zhu, research engineer at a16Z crypto, both of whom brought Jolt from concept to code.

Resources for references in this episode:

As a reminder, none of the following should be taken as tax, business, legal, or investment advice. See a16zcrypto.com/disclosures for more important information, including a link to a list of our investments.

  continue reading

57 episoade

Artwork
iconDistribuie
 
Manage episode 415771565 series 3345146
Content provided by Andreessen Horowitz, A16z crypto, Sonal Chokshi, and Chris Dixon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andreessen Horowitz, A16z crypto, Sonal Chokshi, and Chris Dixon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

with @SuccinctJT @samrags_ @moodlezoup @rhhackett

Welcome to web3 with a16z, a show about building the next era of the internet by the team at a16z crypto. That includes me, host Robert Hackett. Today's all new episode covers a very important and now fast developing area of technology that can help scale blockchains, but that also has many uses beyond blockchains as well.

That category of technology is verifiable computing, and specifically, SNARKs. So today we dig into zkVMs, or "zero knowledge virtual machines," which use SNARKs, and we discuss a new design for them that the guests on this episode helped develop — work that resulted in Jolt, the most performant, easy-for-developers-to-use zkVM to date.

The conversation that follows covers the history and evolution of the field, the surprising similarities between SNARK design and computer chip architecture, the tensions between general purpose versus application specific programming, and the challenges of turning abstract research theory into concrete engineering practice.

Our guests include Justin Thaler, research partner at a16z crypto and associate professor of computer science at Georgetown University, who came up with the insights underpinning Jolt, along with collaborators from Microsoft Research, Carnegie Mellon, and New York Universities. His is the first voice you'll hear after mine, followed by Sam Ragsdale, investment engineer at a16z crypto, and Michael Zhu, research engineer at a16Z crypto, both of whom brought Jolt from concept to code.

Resources for references in this episode:

As a reminder, none of the following should be taken as tax, business, legal, or investment advice. See a16zcrypto.com/disclosures for more important information, including a link to a list of our investments.

  continue reading

57 episoade

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