🔬Scaling Past Informal AI - Carina Hong, Axiom Math
Formal verificationAI for mathLean proof assistantMathematical discoveryPutnam examHardware verificationSoftware verificationRecursive self-improvementAI agentsTransfer learningAuto-formalizationCode generationComputational complexityReinforcement learningKnowledge graphsInterdisciplinary teamsStartup funding
Carina Hong, CEO of Axiom Math, discusses the company's recent $200M Series A funding and their perfect Putnam exam score, highlighting their mission to scale "verified AI" through formal mathematics. She explains how formal verification, using tools like the Lean proof assistant, aims to compound intelligence and enable performance gains in AI systems for software and hardware. Hong also details Axiom's work in mathematical discovery, the challenges of auto-formalization, and the open-sourcing of their Axle Lean Engine API.