Tezos has championed formal verification from the very beginning, but across the broader Web3 space, mathematical proofing of smart contracts has always suffered from one massive bottleneck: it was too complex, labor-intensive, and expensive for most dev teams compared to standard manual audits.
However, recent progress with specialized LLMs and automated theorem proving is starting to change that dynamic. Instead of requiring human verification engineers to spend weeks manually constructing Coq or Isabelle proofs, AI models are now capable of interpreting high-level contract specs, auto-generating machine-checkable invariants, and flagging edge-case bugs at compile time. If AI lowers the barrier to formal verification, the entire industry might finally shift toward the mathematically verified standard that Tezos laid out years ago.
Great analysis on how AI-driven formal verification is evolving across blockchain security:
Source: Cointelegraph
For devs building on Tezos / SmartPy / Ligo: are you experimenting with LLMs to assist in generating proofs or Michelson invariants, or are current AI outputs still too prone to hallucinations for mission-critical logic?
