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How should L2s outsource proofs without compromising decentralization? In this talk from ZK Hub, Norbert Vadas, Head of Product at Gevulot Labs (ZkCloud), breaks down the risks of auction-based proving marketplaces and argues for a permissionless, randomized, and redundant approach to proof infrastructure. A clear case against centralizing trust... show more
11 条评论

Key Takeaways - Practical Challenges in Proof Outsourcing by @NorbertVadas of @gevulot_labs/@thezkcloud Risks of Auction-Based Proof Marketplaces • Auction-style proof markets risk centralization by favoring resource-rich entities. • Bidding races lead to wasted compute and create unhealthy dependencies for rollups. • One-to-one auction matching lacks redundancy - failure requires restarting the process. Lessons from Ethereum’s PBS Model • MEV relays show that centralization can re-emerge even in large validator sets: 5 builders account for 90% of PBS blocks. • Applying similar relay logic to ZK proving could lead to few provers dominating rollup finality. Importance of Decentralization and Liveness • Provers must inherit the same censorship resistance, neutrality, and liveness guarantees as the underlying network. • Randomized prover selection, not auctions, is the most credible neutrality mechanism, akin to validator selection in PoS chains. Need for Redundancy and Fallbacks • Protocols must build in fallback options (e.g. secondary provers, open job windows) to ensure liveness and prevent downtime. • Sequencers should not have to manually restart the proving process in case of failures. Gevulot’s ZKCloud Architecture • zkCloud uses permissionless, decentralized prover selection with built-in redundancy. • Economics are protocol-driven to prevent cost manipulation by dominant provers. • Designed specifically to meet the reliability and decentralization needs of L2s. • Firestarter testnet is live for exploration. Core Thesis • Proof infrastructure should not reintroduce central points of failure. • Decentralized L2s require decentralized proving, not trusted middlemen.

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@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud This talk offered a deep look into the challenges of ZK rollup infrastructure. It was very insightful.

@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud A deep and technical discussion

@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud Randomized and redundant > risky and rigid.

@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud Love the push for truly decentralized infrastructure.

@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud Trustless systems need trustless proofs.

@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud ZK rollups need true decentralization

@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud Permissionless, randomized proofs FTW

@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud Centralized trust in ZK? Not ideal

@Zk_Hub_Global @NorbertVadas @gevulot_labs @thezkcloud Decentralized proofs are the future of ZK
