Vitalik: Ethereum Is Evolving Beyond a Blockchain Into a…
Nodes Will Verify Proofs Instead of Repeating Everything
One of the biggest changes concerns how Ethereum verifies computation. Traditional blockchains require nodes to download transactions and independently re-execute computations to confirm that the network followed its rules. That strengthens trustlessness but creates a scaling constraint because thousands of computers repeatedly perform much of the same work. Buterin envisions increasingly replacing that model with cryptographic proofs. Specialized systems could perform large amounts of computation and generate succinct mathematical proofs demonstrating that the work was performed correctly. Ethereum nodes would verify those proofs rather than repeating every calculation themselves.PeerDAS has already introduced part of this philosophy for data. Instead of every validator downloading all blob data, nodes can sample portions to verify availability. Buterin expects the concept eventually to extend to full block contents. The roadmap also calls for more distributed block construction. FOCIL — fork-choice enforced inclusion lists — would allow multiple validators to participate in determining which transactions must be included, reducing reliance on a single block producer. By 2030, Buterin projects Ethereum slots of approximately four to eight seconds, with finality potentially taking eight to 32 seconds. Ethereum itself would not compete with centralized servers on latency, he acknowledged, but infrastructure surrounding it potentially could.Decentralization Could Become a Performance Advantage
Buterin’s broader argument challenges one of blockchain architecture’s longstanding trade-offs. Decentralization has traditionally imposed a performance cost because many independent computers must maintain and verify the same system. Modern cryptography could allow those computers to perform different work in parallel while still providing proofs that their results are correct. That could turn decentralization from purely a security cost into, in certain circumstances, a performance advantage. Large amounts of data could be stored across distributed infrastructure, computations could occur simultaneously and decentralized networks could improve privacy by making it harder to identify where requests originate.Privacy is another major component of the roadmap. Zero-knowledge proofs could allow transactions, balances and other information to remain private while still providing mathematical evidence that network rules were followed. Ethereum would consequently become less like a single global computer executing everything directly and more like a verification and coordination layer surrounded by decentralized computing infrastructure. The idea also represents an evolution of Ethereum’s original “world computer” ambition. The term has been associated with Ethereum since its early years, when co-founder Gavin Wood described a globally shared computing platform maintained collectively by network participants. Buterin is now adding the “cryptographic” distinction because proofs, privacy technologies and decentralized offchain computation would perform substantially more of the work.Major engineering problems remain. Buterin identified efficiently managing and parallelizing Ethereum’s enormous state as potentially harder than making zero-knowledge proofs sufficiently cheap and secure. The roadmap is therefore a technical direction rather than a guaranteed timetable. But the intended endpoint is clear: Ethereum would no longer primarily be a ledger where computation is placed onchain and independently re-executed by everyone. Instead, computation could happen across a much broader decentralized system, with Ethereum providing the cryptographic proofs, data availability, ordering and security needed to verify the result. That, in Buterin’s terminology, is the “cryptographic world computer.”Source: FinanceFeeds