Maths

“Like with code or with math, it's relatively more binary, easy to verify. But how do you verify the quality of a board deck? Yeah. It's a, you have to be, you have to have like a good rubric based evaluator.”

“If you look at Nobel Prize winners who win in physics and chemistry and math and so on, they all do their formative work in their twenties, basically. Then there's a decade of application in their thirties, and then they get the Nobel Prize for that work they …”

“I think through solving math, we also realize that it can solve a lot of other problems, such as verification, such as optimization, et cetera.”

“Law and healthcare, they're still a little too squishy, a little too soft. It's unlike math or code.”

“In the AI era, math is your edge.”

“I think that programming like math is kind of just a good general education. I don't think that that goes away, and I think that there's also lots of practical skills that comes from studying computer science right now.”

“So we will return to all of these problems that couldn't be solved. Like, even like this, everyone's favorite one, oh, it doesn't understand math. Right. Like, okay, that is a solvable problem, because math is solvable.”

“For math, it's a bit harder to over optimize, I think. Unless you have tools and the model learns to search and cheat instead of learning math, which I'm sure somebody could see that out in the world, which is like, oh, I'll just find the, you're training. It'…”

“We can do a much better job at teaching math with large language models, and we have a math course but it is, it's, you know, we're completely retooling it to be a lot more like a tutor.”

“There's not really anything keeping AI from getting really good at math. There's not really an interface to the real world. You don't need to do a clinical trial to verify something's correct.”

“For things like math or soon code that are verifiable, they will get solved very quickly.”

“Synthetic data Probably doesn't get us out of that, that issue. I actually, I don't know if synthetic data outside of easily verifiable domains like math, it's hard to use synthetic data to drive outcomes.”

“These things are really bad at doing math because they write compelling text, but they're really good at translating language, natural language to code.”

“Artificial intelligence number one is algebra on steroids. Just so we're clear. It is a very big field of study. And when you get out of microscope and you like look down inside the computer, you cannot find the AI in there anywhere. It's just math.”

“Something that I'm really passionate about is having more children study maths, and one of my initiatives is to have maths be studied up to AT.”

“We are a global outlier in allowing our children to stop studying maths at 16, and almost all developed countries have the study of maths go all the way to 18 years old.”

“I'm a big fan, actually, of Formula One, and the reason why I like it, if I'm honest with you, is because I think of it as a giant maths competition just with, you know, a bit of glamour on top.”

“When it comes to math, it's like, ah, let's not talk about how the neuroscience supports the fact that you also need practice and repetition for math, because it, then you start getting into the math wars.”

“Writing about things that really matter to you persuasively and explanatorily that turns out to be much more powerful and useful than math.”

“I don't think it's all that useful to have something like teaching math where you have a chatbot because the conversation is not the real element. You know, you're somehow trying to teach math. Whereas in languages, you're trying to teach the conversation. So …”