Carina Hong

9 statements across 1 episodes · 3 bullish · 1 bearish · 1 people on the record · first statement Jun 3, 2026 by Carina Hong · across every show →

On the record as a speaker too: Carina Hong's record, appearances and statements → this page counts the times other people say the name.

Everything said about Carina Hong, oldest first

Jun 3, 2026 bullish
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 Hong Jun 3, 2026 ▶ 3:58 Scaling Past Informal AI - Carina Hong, Axiom Math
Jun 3, 2026 negative
Assertion Supported
Hong: Axiom and Harmonic mistakenly claimed solved Erdős problems were new
“So actually what happened was our competitor, Harmonic, decided to publicize that they have solved unsolved problems, Erdos number one two four and four 81, and then we trusted their literature review, believing that these problems are really, truly unsolved. …”
Carina Hong Jun 3, 2026 ▶ 59:19 Scaling Past Informal AI - Carina Hong, Axiom Math
Jun 3, 2026
Disclosure
Hong: Axiom Math is 7-8 months old with about 30 employees
“We are like a seven, eight months old company, so it definitely means a lot to us. It's a really cool milestone. We're currently about like 30 people now, right?”
Carina Hong Jun 3, 2026 ▶ 2:15 Scaling Past Informal AI - Carina Hong, Axiom Math
Jun 3, 2026
Insight
Hong: Training AI for mathematical elegance is an alignment problem
“At one point we're gonna get to there because, you know, I think the conjecture will probably depend on what, you know, will probably depend on what we mean by taste, elegance. Feels like an alignment problem to me, you know? Like, you know, who gets to say wh…”
Carina Hong Jun 3, 2026 ▶ 43:05 Scaling Past Informal AI - Carina Hong, Axiom Math
Jun 3, 2026 neutral
Insight
Hong: Accumulating synthetic AI data is not a moat, just buffer
“I think everyone is trying to accumulate like a data, which is not a mode. It's just time and time mode. It's all about like, you know, whether you can execute fast enough to make sure that you have like a certain buffer because of say your data set, you know,…”
Carina Hong Jun 3, 2026 ▶ 1:03:05 Scaling Past Informal AI - Carina Hong, Axiom Math
Jun 3, 2026 bullish
Prediction Not checkable as stated
Hong: Future coding will rely on automated test-generated specifications
“I think this is the future of coding. Yes, I think this is the future of coding. And I think this is where, you know, this is where I think even if we are supposed, like given the assumption that everything can be formally verified, you know, like studying sor…”
Carina Hong Jun 3, 2026 ▶ 34:09 Scaling Past Informal AI - Carina Hong, Axiom Math
Jun 3, 2026
Disclosure
Hong: Axiom Prover is an ensemble of multiple post-trained models
“Action Prover is an ensemble system of multiple models that we do post-training.”
Carina Hong Jun 3, 2026 ▶ 37:25 Scaling Past Informal AI - Carina Hong, Axiom Math
Jun 3, 2026 bullish
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.”
Carina Hong Jun 3, 2026 ▶ 13:39 Scaling Past Informal AI - Carina Hong, Axiom Math
Jun 3, 2026 neutral
Assertion Not checkable as stated
Hong: Each line of verified code currently takes 20 proof lines
“Currently, actually, you know, for each line of code written, there could be like 20 lines of proof.”
Carina Hong Jun 3, 2026 ▶ 36:18 Scaling Past Informal AI - Carina Hong, Axiom Math
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