Specification driven development

AI Can Write the Proof. Who Checks It? — Leonardo de Moura

AI Can Write the Proof. Who Checks It? — Leonardo de Moura

Leonardo de Moura discusses Lean's journey, from its strict "cathedral model" of core development to its current extensibility. He reveals insights from the Collatz exploit, showcasing AI's role in uncovering kernel vulnerabilities and the critical need for robust formal verification. The conversation highlights AI's transformative impact, from generating complex, optimized code (like the zlib proof) to its limitations in true creativity, emphasizing the enduring human responsibility in defining specifications, curating knowledge, and maintaining trust in an AI-assisted future for software and mathematics.

Your Code Has Bugs. Lean4 Has Proofs: Formal Verification for Engineers — Varun Pant, AWS

Your Code Has Bugs. Lean4 Has Proofs: Formal Verification for Engineers — Varun Pant, AWS

Varun Pant introduces formal verification as the solution to reliably validate AI-generated code, proposing a division where humans define specifications and machines handle code and proof. He details Lean's role as a unified language for code and proof, exemplified by an AI rewriting zlib with 32,000 lines of proof, and AWS's Cedar using Lean specs with Rust production code reconciled by 100 million nightly tests. The talk also covers deductive verification with solvers and future cross-language verification with Strata, aiming for "provably correct" software.