🔬Scaling Past Informal AI - Carina Hong, Axiom Math

Verified AI serves as a mechanism for scaling and compounding human brilliance rather than merely a tool for error correction or compliance. By leveraging formal languages like Lean, AI systems achieve superhuman performance in mathematical reasoning and code generation, significantly improving sample efficiency compared to informal large language models. This approach treats formal verification as a horizontal infrastructure capable of supporting complex tasks, from hardware design to distributed systems. Axiom Math, led by CEO Carina Hong, emphasizes that formalizing proofs and code allows for rigorous, step-by-step logical deduction that accelerates discovery. Beyond proving existing conjectures, these systems facilitate the pre-conjecturing phase of mathematical research, providing tools for construction and exploration. Ultimately, verified generation transforms the development process, enabling AI to act as a reliable partner in navigating high-level intuition and low-level logical execution.