Overview
- Vitalik Buterin, in a new essay, argues that pairing AI with formal verification could let developers ship highly optimized code with proofs that a machine can check.
- He highlights zero-knowledge EVMs, STARK proofs, network consensus rules, and quantum‑resistant signatures as prime targets for this approach.
- He warns that proving one layer correct does not guarantee the whole system behaves as intended, since true assurance spans from specs to low‑level implementations.
- He cites a Lean Ethereum experiment that reportedly used AI to write a machine‑checkable proof for a complex STARK security theorem.
- He urges developers to channel much of AI’s speed gains into testing and formal proofs, a shift he says could speed Ethereum’s roadmap without lowering the security bar.