a16z Crypto Launches Lasso And Jolt: Innovative SNARK-Related Technologies
Key Points:
- a16z Crypto unveils Lasso and Jolt, advancing efficient zero-knowledge proofs (ZKPs).
- Lasso enhances SNARK design with lookup parameters, while Jolt accelerates SNARK-based Layer 2 rollups with Ethereum Virtual Machine compatibility.
On August 10, a16z Crypto, the cryptocurrency arm of venture capital firm Andreessen Horowitz, unveiled two groundbreaking technologies in the field of zero-knowledge proofs (ZKPs): Lasso and Jolt.
Lasso, a creation stemming from two research papers by a16z, introduces a “lookup parameter” mechanism that streamlines the process of zero-knowledge proofs. It enables the matching of specific inputs to corresponding outputs without disclosing additional information.
The result is an accelerated verification process for SNARKs, bolstered by Lasso’s ability to perform efficient lookups on structured tables. By sidestepping the need for laborious manual optimization rounds, Lasso significantly enhances the speed of SNARK provers. Notably, its compatibility with tools like Halo2 further supports the development of rapid ZK-rollups.
Jolt, on the other hand, serves as a cutting-edge framework designed for roll-ups that align with the Ethereum Virtual Machine (EVM). This framework ingeniously harnesses the capabilities of Lasso, offering developers the means to construct faster SNARK-based Layer 2 rollups using their preferred programming languages. This innovation opens the door to enhanced flexibility and convenience in creating SNARK VMs.
By introducing these technologies, a16z Crypto empowers developers with tools that not only streamline the process of SNARK design but also pave the way for the development of faster, more efficient ZK-rollups.
DISCLAIMER: The Information on this website is provided as general market commentary and does not constitute investment advice. We encourage you to do your own research before investing.
Join us to keep track of news: https://linktr.ee/coincu
Chubbi
Coincu News
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a16z Crypto Launches Lasso And Jolt: Innovative SNARK-Related Technologies
Key Points:
- a16z Crypto unveils Lasso and Jolt, advancing efficient zero-knowledge proofs (ZKPs).
- Lasso enhances SNARK design with lookup parameters, while Jolt accelerates SNARK-based Layer 2 rollups with Ethereum Virtual Machine compatibility.
On August 10, a16z Crypto, the cryptocurrency arm of venture capital firm Andreessen Horowitz, unveiled two groundbreaking technologies in the field of zero-knowledge proofs (ZKPs): Lasso and Jolt.
Lasso, a creation stemming from two research papers by a16z, introduces a “lookup parameter” mechanism that streamlines the process of zero-knowledge proofs. It enables the matching of specific inputs to corresponding outputs without disclosing additional information.
The result is an accelerated verification process for SNARKs, bolstered by Lasso’s ability to perform efficient lookups on structured tables. By sidestepping the need for laborious manual optimization rounds, Lasso significantly enhances the speed of SNARK provers. Notably, its compatibility with tools like Halo2 further supports the development of rapid ZK-rollups.
Jolt, on the other hand, serves as a cutting-edge framework designed for roll-ups that align with the Ethereum Virtual Machine (EVM). This framework ingeniously harnesses the capabilities of Lasso, offering developers the means to construct faster SNARK-based Layer 2 rollups using their preferred programming languages. This innovation opens the door to enhanced flexibility and convenience in creating SNARK VMs.
By introducing these technologies, a16z Crypto empowers developers with tools that not only streamline the process of SNARK design but also pave the way for the development of faster, more efficient ZK-rollups.
DISCLAIMER: The Information on this website is provided as general market commentary and does not constitute investment advice. We encourage you to do your own research before investing.
Join us to keep track of news: https://linktr.ee/coincu
Chubbi
Coincu News
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