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Key Takeaways
- Buterin’s “cryptographic world computer” plan would use proofs and off-chain networks so computers don’t need to redundantly re-verify every transaction
- The design also aims to hide balance-check requests alongside payment details, extending privacy beyond just transaction contents
- Buterin flagged Hegotá, planned for next year, as Ethereum’s last “normal” fork before upgrades lean heavily on cryptographic proofs and quantum-resistant security
Ethereum co-founder Vitalik Buterin published a lengthy post Sunday describing how he expects Ethereum’s architecture to change by 2030, arguing the network could still be called a blockchain but would function very differently from how it operates today.
The plan centers on using cryptographic proofs and off-chain computation to let Ethereum process far more transactions without requiring every computer on the network to repeat the same calculations.
The Core Problem: Redundant Verification Limits Capacity
In a post titled “The cryptographic world computer,” published on his personal blog, Buterin described combining Ethereum’s blockchain with cryptographic proofs and external networks of computers working outside the chain itself. According to Buterin:
“The changes planned through 2030 would affect both how much work Ethereum can handle and what users can independently verify about that work.”
Ethereum today lets people send funds, trade tokens and borrow through applications governed by shared rules enforced across the network.
The central constraint, according to Buterin, is that a computer fully verifying Ethereum’s transactions must repeat the same calculations other computers on the network have already performed, checking, for example, that a sender had sufficient funds or that an application executed according to its programmed rules.
That repetition helps keep the network honest, since any single computer’s results can be checked against others. But it also means adding more computers to the network does not automatically let Ethereum process more transactions, because each computer remains occupied re-verifying activity that others have already confirmed.
Cryptographic Proofs as an Alternative to Repetition
Buterin argued that newer cryptographic tools can break that constraint. Under his proposed approach, a computer could process a batch of transactions and generate a short mathematical proof demonstrating it followed the network’s rules correctly.
Other computers could then verify that proof far faster than they could redo the original computation themselves, while separate spot checks would help confirm the underlying transaction data remains available for anyone who wants to inspect it directly.
That structure would let different computers handle different tasks in parallel while still checking each other’s results, rather than every computer repeating identical work. Buterin said:
“Ethereum’s developers wanted to distribute work this way roughly a decade ago but lacked a way to confirm reliably that each computer had completed its assigned portion correctly. The missing ingredient was verification.”
Some coordination challenges remain even under the new model. Ethereum would still need a definitive way to resolve conflicts where transaction order matters, such as determining which of two payments drawing on the same funds occurred first.
Buterin suggested more of that underlying computation could be completed in advance, with the resulting proofs combined to reduce how much raw information needs to be recorded directly on the blockchain.
Privacy Extends Beyond Transaction Contents
Buterin’s plan also addresses information users reveal simply by checking their own balances. Querying a balance today typically involves contacting an outside server about a specific address, and the server’s operator can learn which accounts a person follows even when the payments themselves remain private.
Buterin’s proposal would obscure those balance-check requests alongside payment details and the rules governing how an account authorizes spending, which he said would let a business keep its payment activity confidential without exposing its accounts every time an employee checks a balance.
That privacy-focused direction mirrors efforts elsewhere in the industry. Zcash already allows users to send payments with encrypted addresses and amounts. Separate researchers have proposed adapting a similar shielded-payment design for Bitcoin in a paper published this month. That specification, however, leaves the mechanics of depositing and withdrawing actual Bitcoin into such a system to future research.
Substantial Engineering Work Still Lies Ahead
Buterin acknowledged that Ethereum’s roadmap depends on solving hard remaining problems. Generating cryptographic proofs needs to become efficient enough for widespread use, and computers handling separate parallel tasks will need to coordinate updates to shared account balances and application records without interfering with one another’s work. He said:
“Even under my 2030 vision, Ethereum would retain some cost and functionality limits for especially complex applications, though I expect payment finality, the point at which a transaction becomes irreversible, to fall to roughly eight to 32 seconds.”
Buterin identified Hegotá, an upgrade planned for next year, as likely to be Ethereum’s last “normal” fork built using technology familiar to a developer working on the network in 2015.
He said subsequent upgrades would increasingly rely on cryptographic proofs, formal verification tools that check software for errors, and security designed to withstand future quantum computers, describing that shift as becoming Ethereum’s central technical narrative once Hegotá ships.
