Vitalik: Hegota May Be Ethereum’s Last Normal Fork

Ethereum’s next hard fork may be the last one that looks like an ordinary blockchain upgrade. That is the central claim in a new essay Vitalik Buterin published on Sunday, titled “The cryptographic world computer,” in which the co-founder argues that the network is on track to become something that only resembles a blockchain for historical reasons.

The key line concerns Hegota, the fork slated for next year under the development roadmap known as the Strawmap. Buterin writes that it is likely to be Ethereum’s last “normal” fork, one whose features would still be recognizable to someone from 2015. Everything after it, he says, involves recursive STARKs, automated formal verification, highly optimized consensus algorithms, and making the whole stack quantum-safe.

Starting after Hegota, this transformation becomes Ethereum’s primary story.

From ledger to hybrid machine

The essay frames the shift by walking through the original Bitcoin whitepaper section by section and comparing a 2010-era design with where Ethereum expects to be in 2030. Almost every row changes.

Take verification. Today’s mental model of a blockchain is that every node downloads each block and re-executes it. In Buterin’s 2030 picture, nodes instead sample data through PeerDAS and check a SNARK, a compact cryptographic proof that the computation was done correctly. Transaction authorization moves from a single signature to, in some cases, one or more quantum-safe signatures, and in others a zero-knowledge proof. Consensus goes from proof of work, through today’s proof of stake, to a much more optimized version with finality reached in a few slots.

Block building changes too. Instead of a single miner or proposer deciding what goes in, transactions pass through a mempool with strong privacy properties and on to what the essay calls a “FOCILer” or builder. FOCIL, short for fork-choice enforced inclusion lists, is the mechanism meant to guarantee that valid transactions get included in close to real time, which Buterin lists as a core property of the 2030 network: strong censorship resistance.

Privacy is where the gap between eras is widest. In the old model, transaction privacy rested on the assumption that nobody could effectively analyze the transaction graph. Buterin’s target design uses ZK-SNARKs for private writes, pairs them with private account abstraction, and offers private reads either through lighter full nodes or through techniques such as trusted execution environments combined with ORAM and private information retrieval. At the network layer, he points to onion routing and mixnets. The broader appetite for this kind of privacy is already visible elsewhere in crypto, with Zcash shielded transactions hitting a four-year high this month.

What users would actually notice

The essay includes a before-and-after comparison that is more concrete than most roadmap talk. Ethereum in 2015 meant roughly 17-second blocks and about 200 seconds to reach 12 confirmations. Buterin’s 2030 figure is a slot of around 4 to 8 seconds, with finality in roughly 8 to 32 seconds. Running a node would still be the way to get the strongest guarantees, but with much lighter hardware requirements, because SNARKs remove most of the computation burden.

Light clients would also gain ground. Where they once had to trust an honest majority for block validity, they would be able to verify both data availability and execution directly.

Developers get a different set of incentives. Buterin argues that in future architectures, the same amount of computation will cost far more if it is crammed into one serial, opaque transaction, and far less if it is split into well-encapsulated pieces that can be parallelized or pruned before reaching the final block. Over time, he suggests, applications may converge on a pattern where only information about ordering and non-commutative state changes lands onchain, with everything else aggregated beforehand. That is a meaningful change for teams building high-volume onchain products such as the tokenized stock markets now clearing $20.9 billion a month on DEXs.

Decentralization as a performance feature

Perhaps the most striking argument is that decentralization is starting to flip from pure cost to occasional advantage. For most of Ethereum’s history, spreading work across many nodes was a tax paid for safety. Buterin writes that a decentralized network can now store more data in parallel, run large amounts of computation in parallel (often inside the mempool itself), and hide metadata in ways centralized systems cannot.

That was an early Ethereum ambition in the mid-2010s, and it failed for one reason: there was no efficient way to verify that each split-off unit of work was done correctly. Randomly sampled committees were the stopgap, and they added complexity, latency and no recourse when they failed. Modern proof systems, he says, solve that problem, and the overhead is falling month by month.

He is candid about what remains hard. Making zero-knowledge proofs efficient and safe is difficult, though he notes the work is being heavily optimized with AI tools. The tougher and more systemic challenge is managing and parallelizing access to very large amounts of state. Further out, he flags indistinguishability obfuscation as a possible next shift, a technology he has spent much of this year writing about in a three-part series, which could remove the tradeoff between privacy and general-purpose computation entirely.

Why it matters now

The essay is not a formal proposal and does not change any code on its own. What it does is set expectations. By labeling Hegota the last conventional fork, Buterin is telling developers, stakers and investors that the upgrades after it will look less like feature bundles and more like a steady replacement of Ethereum’s core machinery with cryptographic proofs. For holders tracking demand through channels such as spot BTC and ETH ETF inflows, it is a reminder that the network’s long-run pitch is shifting from programmable money toward cheap, private, verifiable computation at global scale.

FAQ

What is Ethereum’s Hegota upgrade?
Hegota is the Ethereum hard fork planned for next year on the Strawmap roadmap. Vitalik Buterin says it is likely to be the network’s last “normal” fork, with features still recognizable to someone from 2015.

Does this mean Ethereum will stop upgrading after Hegota?
No. Buterin says upgrades continue, but they will center on recursive STARKs, automated formal verification, highly optimized consensus and quantum safety rather than conventional feature changes.

What does Vitalik mean by a “cryptographic world computer”?
He describes an architecture that combines blockchains with cryptographic privacy and verification plus decentralized off-chain components, instead of a ledger where every node re-executes every transaction.

How fast would Ethereum be by 2030 under this vision?
Buterin’s comparison puts slots at around 4 to 8 seconds and finality at roughly 8 to 32 seconds, compared with about 200 seconds for 12 confirmations in 2015.