September 28, 11:30
Ethereum may scale by reducing repeated work across participants
Ethereum's next scaling leap may come from making everyone stop doing the same work
CryptoSlate

Vitalik Buterin says cryptographic advances could let Ethereum distribute computation instead of requiring every validator to repeat it. In a Sept. 27 essay, he described Ethereum's long-term destination as a "cryptographic world computer." In that system, computation and data could be distributed across participants while compact proofs let others verify the work. Buterin said decentralization could become a performance strength in limited cases. Distributed networks can store more data and run more computation in parallel, including work around the transaction mempool. Buterin said modern cryptographic proofs increasingly make distributed work verifiable, and their computational overhead continues to decline. Ethereum's future verification model would increasingly use data sampling and succinct proofs instead of requiring every validator to download and execute everything. Consensus is moving toward a more optimized proof-of-stake design. Block construction is being divided among multiple participants rather than controlled by a single producer. Ethereum's proposed L1 zkEVM model would let a specialized prover execute a block and generate a proof of correct execution. Other nodes could verify that proof more cheaply than re-executing every transaction. The technology remains under active research and is not integrated into production Ethereum clients. Buterin argues that separating computation from verification could let Ethereum use distributed infrastructure for more computation and storage. He also says it could support privacy. Infrastructure around Ethereum could compete on latency even if the base chain never approaches centralized servers' response times. Buterin described the eventual system as a hybrid of traditional blockchain properties, cryptographic verification, privacy and decentralized components operating away from the base chain. Buterin expects the structure of application computation to become increasingly important as Ethereum tries to parallelize work. Applications with large amounts of interdependent computation in one serial transaction could become comparatively expensive. Workloads divided into well-defined components that can be parallelized, aggregated or pruned could become cheaper. Buterin suggested that information needed for ordering and state changes that cannot be rearranged could remain onchain. Other computation could be processed and aggregated before reaching a block. The resulting model would make Ethereum more of a coordination and verification layer for distributed computation than a system where the base chain performs every operation. The broader transition remains prospective, and many technologies for the architecture remain unfinished. Buterin identified the management and parallelization of access to Ethereum's growing state as the more difficult system-wide challenge. State includes account balances, smart-contract storage and other information needed to determine the network's current state. Weak statelessness could let most validators verify blocks without keeping the full state database. Block producers would retain access to the state needed to construct blocks and generate witnesses. The proposal remains in research and depends on other architectural changes. Cryptographic proofs can make computation cheaper to verify, but they do not eliminate the need to obtain the underlying data. Buterin said Ethereum has potential approaches to the state-access problem, and designs will need to evolve alongside applications on the network. Buterin said Hegotá, currently planned for 2027, could be Ethereum's last "normal" fork recognizable to developers from an earlier era. Later upgrades are expected to rely increasingly on recursive proofs, automated formal verification, optimized consensus and quantum-resistant cryptography. Buterin said PeerDAS has begun this transition. The coming work will test whether Ethereum can distribute more computation without requiring every participant to repeat it, and whether state infrastructure can keep pace.
This content is an AI-generated summary/analysis for informational purposes only and does not constitute investment advice.