← Gradient Dissent: Conversations on AI

The $64M Bet on an AI That Has to Be Right | Carina Hong, CEO of Axiom

Gradient Dissent: Conversations on AI2026年2月5日50分

The $64M Bet on an AI That Has to Be Right | Carina Hong, CEO of Axiom

Gradient Dissent: Conversations on AI

0:0050:40
このエピソードはアーカイブのため、日本語要約の対象外です。
番組の概要欄(原文)

Formal verification already consumes years of human effort. In this episode, Lukas Biewald talks with Carina Hong, Founder & CEO of Axiom, about why verification is becoming the real bottleneck in high stakes AI systems. They discuss how Axiom uses AI to take on the tedious checking that stretches verification cycles across years, starting with formal mathematics and extending to hardware and software. Carina also explains why Axiom’s approach to auto-formalization mirrors spec driven models like Kiro from AWS. Connect with us here: Carina Hong: https://www.linkedin.com/in/carina-hong/ Axiom: https://www.linkedin.com/company/axiommath/ Lukas Biewald: https://www.linkedin.com/in/lbiewald/ Weights & Biases: https://www.linkedin.com/company/wandb/

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