Carina Hong, CEO and founder of Axiom Math, reflects on the startup's team size and age following a $200 million Series A fundraise.
Assertion Not checkable as stated
Hong: Competitor's AI demo can be solved entirely by Lean's grind tactic
“We're talking about, for example, the grind tactic in Lean. It can currently handle a lot of mass proofs, like, at a very low level. And this is pretty shocking because I have seen, you know, actually another company working in the same space, like, you know, …”
Prediction Not checkable as stated
Hong: Informal math systems will not achieve math AGI
“I'm going to say on the record, we do not believe that an informal math system is going to be the math AGI solution.”
Insight
Hong: Structured and formal data enables broad horizontal transfer learning
“If you have more structured and formal data, it's going to be a lot more horizontal than the specific vertical we are tackling.”
Assertion Not checkable as stated
Hong: DeepMind's Formal Math Slowdown Post-AlphaProof Was Non-Technical
“After AlphaProof, kind of like, we didn't see a lot of the formal math you know, results or kind of progress from Google DeepMind, and that's actually because of reasons that are not necessarily technical.”
Insight
Hong: Formal verification in AI is about scaling superintelligence, not bug fixes
“It is not about, like, formal verification or verified AI to us. It's not just about handling or, like, kicking out the lousiness, the hallucinations, the mistakes. It's about scaling brilliance. It's about super intelligence.”
Opinion
Hong: Formal verification TAM covers all AI-generated code, not niche applications
“No, that's not the TEM. The TEM is all code. The TEM is a right of first refusal on all AI-generated code. Like, right of first refusal, meaning, you know, you get to choose whether you want to verify it.”