Perplexity AI launches Numbat, a math-proof language

Perplexity AI released Numbat, a programming language designed to write and verify mathematical proofs. The idea is straightforward: instead of arguing about whether a proof is right, you encode it in a language that checks its own work. Perplexity's co-founder Aravind Srinivas pitched it as a way to reduce the friction of getting math right.

This fits a broader push by AI companies to tackle formal verification — the practice of proving things mathematically rather than just empirically. Numbat isn't the first project in this space, but it's a notable one coming from a company that built its name on AI-powered search and answers.

Why this matters for us: formal verification tools tend to come from academia and big tech labs; when a startup like Perplexity releases one into the open, it signals that checking your own work is becoming a real engineering problem — and one we should watch for tools that might eventually touch how we verify code, contracts, and claims.