Lean, every mention
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tap a year for its mentions
every year anyone Carina Hong 32RJ Haneke 27Dr. Jasper Zhang 4Guillaume Lample 3Yi Tay 1Shawn Wang 1Jeff Dean 1Anima Anandkumar 1Alex Lupsasca 1
Verbatim, from the transcripts: the passages where Lean comes up
🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
- ▶ 5:08 Anima Anandkumar For instance, you know, if we claim that the theorem is correct, we have to go verify that, you know, that's where lean as a formal language can be useful for verification.
- ▶ 6:23 RJ Haneke We have already discussed on the podcast Lean and, uh, and everyone should probably be familiar with neural networks. 8 times in the scene
- ▶ 1:07:42 unnamed speaker Like for example, the, the torch lean work, but, um, the, the applications have really grown and I'm wondering what, what prompted that and like, um, what were some of the lessons you've learned since then?
Scaling Past Informal AI - Carina Hong, Axiom Math
- ▶ 0:07 Carina Hong Well, before blueprinting, that's human-human collaboration, and lean was a grounding, was a verification, formal language.
- ▶ 2:41 Carina Hong So, math startup, lean startup. 2 times in the scene
- ▶ 9:59 Carina Hong Okay, so, but proof assistants and, you know, formal proof checkers like Lean still found its place, right? 5 times in the scene
- ▶ 10:55 Carina Hong So Lean is a computer program, uh, a bit like for math proofs. 9 times in the scene
- ▶ 15:21 Carina Hong RL for Lean to, to have improvement because of seeing evidence of RL encoding.
- ▶ 15:47 Carina Hong So we heavily rely on kind of data called Lean data, and we kind of talked about Lean as all the, all the data that we have that's Lean proofs, you know, it's correct. 4 times in the scene
- ▶ 20:25 Carina Hong I think a Lean-based system will struggle in those very creative places, which is why we at Axiom actually also invest on something called mathematical discovery. 3 times in the scene
- ▶ 28:10 RJ Haneke So just help me map from the program to the proof, because like I could say, you know, this two line lean program verifies, you know, sort of like whatever
- ▶ 30:25 Carina Hong But if you have proof as Lean, and you have, you know, code, you can choose Rust, which is a strongly typed language. 2 times in the scene
- ▶ 35:13 RJ Haneke So I know I have to know, I'm going to give this input, I'm going to give this output, it has to have these characteristics, and so, and so I write test cases and I write a, so is there an equivalent in lean of this, right, where the… 3 times in the scene
- ▶ 38:47 RJ Haneke You know, when I'm writing code with cloud code, but I can imagine problems becoming big enough in a system like this where you have a gazillion lines of lean. 5 times in the scene
- ▶ 1:02:48 RJ Haneke I mean, I, that brings up also, I, I read somewhere that you guys have a really massive database of lean proofs that you've generated.
- ▶ 1:05:20 RJ Haneke I was sure they're going to announce that they're using lean to, to do like formal verification of proofs and actually generate proofs and then verify them so that they're grounding and reasoning. 2 times in the scene
- ▶ 1:06:58 RJ Haneke And, um, I actually tried it with Cloud Code, um, because it's easier than setting up, uh, you know, your own lean, um, tool chain. 7 times in the scene
- ▶ 1:11:38 Carina Hong I do actually have seen people use Ling and formalization, and they try to do it by hand, you know, not using any AI as a way to learn mathematics. 4 times in the scene
- ▶ 1:19:27 Carina Hong Well, before blueprinting, that's human-human collaboration, and Lean was the grounding, was the verification, formal language.
🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI
- ▶ 1:29:21 Alex Lupsasca We don't think the way lean, which is this language for formal verification reasons.
Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample
- ▶ 41:17 Guillaume Lample So, um, what's nice with Lean and with formal proving is that you don't have to worry about this whatsoever. 3 times in the scene
- ▶ 43:03 unnamed speaker It's, it's for lean.
The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean
Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
⚡️Math Olympiad gold medalist explains OpenAI and Google DeepMind IMO Gold Performances
- ▶ 6:25 Dr. Jasper Zhang Problems to Lean, and then they use Lean to kind of prove the, the, the problems, uh, to prove the, uh, solve the problems, and, and this year, uh, no longer need, need that, and the same for OpenAI, too. 2 times in the scene
- ▶ 19:23 Dr. Jasper Zhang So, for example, uh, for the logical thinking and reasoning, I think we can, uh, a lot of people trying to use lean, uh, because, like, 2 times in the scene
- ▶ 23:24 unnamed speaker Uh, and then I think the, the last followup I had was about a comment that you made, uh, maybe like three comments into your, your comments, uh, which is, uh, about, about the usage of lean and, uh, and then like sort of verifiability. 7 times in the scene
Agents @ Work: Dust.tt — with Stanislas Polu
- ▶ 8:21 Shawn Wang There's a bit of work with, like, Lean, and then with, uh, you know, more recently with, uh, with DeepMind doing, like, scoring, like, Silver on the IMO.