Foresight News posted on X (formerly Twitter). Vitalik Buterin discussed privacy protection and how blockchain systems verify computation. He said traditional validation requires nodes to independently execute transactions and compare results, which allows verification but duplicates work and limits the amount of computation a network can handle.

Buterin described an alternative in which the party performing the computation generates a cryptographic proof after completing the work, and other participants verify that proof to confirm the computation followed the rules. He said proof systems such as SNARKs and STARKs can make verification more efficient than re-executing complex computations. When these systems also have zero-knowledge properties, they can confirm that a result is valid while hiding input information that does not need to be disclosed.

He said there are two related but different goals: reducing repeated computation and protecting privacy. Using proofs to scale a system does not automatically make transactions private, and privacy still requires application and protocol design.

Buterin also mentioned fully homomorphic encryption, or FHE, which allows a computing party to process encrypted data without first decrypting it. He said the technology offers a way to let others perform computation without handing over the original data.

He added that these tools expand the design space for applications by giving developers more flexibility over where computation happens, how results are verified, and who can see specific information.