“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.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
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More from Carina Hong
AssertionNot 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, …”
Carina HongJun 3, 2026▶ 10:27Scaling Past Informal AI - Carina Hong, Axiom Math
PredictionNot 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.”
Carina HongJun 3, 2026▶ 50:41Scaling Past Informal AI - Carina Hong, Axiom Math
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.”
Carina HongJun 3, 2026▶ 3:58Scaling Past Informal AI - Carina Hong, Axiom Math
AssertionNot 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.”
Carina HongJun 3, 2026▶ 6:18Scaling Past Informal AI - Carina Hong, Axiom Math
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.”
Carina HongJun 3, 2026▶ 13:02Scaling Past Informal AI - Carina Hong, Axiom Math
Insight
Hong: Scaling inference for formal math has almost no wall
“I think that we found scaling inference to have almost no wall recursively decomposing you know, approved goal into many sub goals and then learning to backtrack as well.”
Carina HongJun 3, 2026▶ 16:49Scaling Past Informal AI - Carina Hong, Axiom Math
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