DiscoverZero KnowledgeLigero for Memory-Efficient ZK with Muthu
Ligero for Memory-Efficient ZK with Muthu

Ligero for Memory-Efficient ZK with Muthu

Update: 2025-07-23
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In this episode, Anna Rose and Guillermo Angeris catch up with Muthu Venkitasubramaniam, Professor of Computer Science at Georgetown University and cofounder of Ligero. They discuss how Ligero’s small memory footprint makes it a good choice for client-side proving, as well as the importance of programmable compliance in blockchain. The conversation explores the differences between ‘MPC in the head’ and error-correcting code perspectives, and how well-established primitives influence the design of modern ZK systems. They also debate the challenge of adding ‘ZK’ privacy back into systems without it, why proving EVM traces may be absurd, and what kinds of guarantees might exist around the results of vibe coding.

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Ligero for Memory-Efficient ZK with Muthu

Ligero for Memory-Efficient ZK with Muthu