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Dwarkesh Podcast / episode intelligence

Grant Sanderson – AI and the future of math

30 Jun 2026 17 published claims 2 attributable people

Speakers in the public record

Claim mix

evaluation 5belief 4prediction 3uncertainty 2preference 1recommendation 1observation 1

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The useful parts, with receipts.

17 published records

01 / evaluation

You might imagine the opposite, given that the experience of a university student is often that the expert teaching them is not necessarily the best explainer of that topic, because they’re so spoiled by their expertise.

“You might imagine the opposite, given that the experience of a university student is often that the expert teaching them is not necessarily the best explainer of that topic, because they’re so spoiled by their expertise.”
Speaker
Grant Sanderson
Publisher
Dwarkesh Podcast

03 / uncertainty

When the AI came up with that counterexample to the unit distance conjecture, you can just read its chain of thought. It’s not understandable to me, because I don’t know anything about mathematics, but it seems that to other mathematicians it was understandable.

“When the AI came up with that counterexample to the unit distance conjecture, you can just read its chain of thought. It’s not understandable to me, because I don’t know anything about mathematics, but it seems that to other mathematicians it was understandable.”
Speaker
Dwarkesh Patel
Publisher
Dwarkesh Podcast

04 / uncertainty

I don’t know if it was over lunch or something like that, but you have this number theorist who is just trying to understand the statistical correlation between pairs of zeros of the Riemann zeta function.

“I don’t know if it was over lunch or something like that, but you have this number theorist who is just trying to understand the statistical correlation between pairs of zeros of the Riemann zeta function.”
Speaker
Grant Sanderson
Publisher
Dwarkesh Podcast

08 / preference

I really like this because even though it seems like a totally random skill… It’s just like, people are talking about recursive self-improvement in a year, and we can’t get these things to write good flashcards.

“I really like this because even though it seems like a totally random skill… It’s just like, people are talking about recursive self-improvement in a year, and we can’t get these things to write good flashcards.”
Speaker
Dwarkesh Patel
Publisher
Dwarkesh Podcast

09 / prediction

I don’t know if it’s these step changes, but maybe it’s more on the side of engine design becoming a little bit more fluid, or coming up with the right wing shape instead of running a whole bunch of complicated CFD.

“I don’t know if it’s these step changes, but maybe it’s more on the side of engine design becoming a little bit more fluid, or coming up with the right wing shape instead of running a whole bunch of complicated CFD.”
Speaker
Grant Sanderson
Publisher
Dwarkesh Podcast

10 / evaluation

You’ve got an institution around that, and a whole bureaucracy acting as a proxy for what we think that public good is, with a whole song and dance around how to make them correctly predict that your progress will be in the spirit of that funding.

“You’ve got an institution around that, and a whole bureaucracy acting as a proxy for what we think that public good is, with a whole song and dance around how to make them correctly predict that your progress will be in the spirit of that funding.”
Speaker
Grant Sanderson
Publisher
Dwarkesh Podcast

11 / recommendation

My advice to any college student when they’re choosing what courses to take: care a little bit less about your preexisting interests, because they’re kind of arbitrary right now, and care a little bit more about whether the person teaching it is a good educator and someone you resonate with.

“My advice to any college student when they’re choosing what courses to take: care a little bit less about your preexisting interests, because they’re kind of arbitrary right now, and care a little bit more about whether the person teaching it is a good educator and someone you resonate with.”
Speaker
Grant Sanderson
Publisher
Dwarkesh Podcast

13 / observation

What’s interesting is that we started doing this over a year ago, and it’s fun to see a little bit of a tone shift in the way they talk about AI between mid-2025 and where we are now in 2026.

“What’s interesting is that we started doing this over a year ago, and it’s fun to see a little bit of a tone shift in the way they talk about AI between mid-2025 and where we are now in 2026.”
Speaker
Grant Sanderson
Publisher
Dwarkesh Podcast

14 / evaluation

Because websites have bot detectors—and it takes a tremendous amount of compute to run parallel rollouts—it’s very hard to run a thousand parallel rollouts of the same checkout flow on Amazon.

“Because websites have bot detectors—and it takes a tremendous amount of compute to run parallel rollouts—it’s very hard to run a thousand parallel rollouts of the same checkout flow on Amazon.”
Speaker
Dwarkesh Patel
Publisher
Dwarkesh Podcast

15 / evaluation

With the whole AI and math project underway, as you point out, one of the reasons it’s interesting at all is that there’s a spiky frontier to AI, and math is just right there in one of the spikes. But there’s a fractal nature to that spikiness, because when you zoom into the specific progress within math, you have some things that are a lot easier than others.

“With the whole AI and math project underway, as you point out, one of the reasons it’s interesting at all is that there’s a spiky frontier to AI, and math is just right there in one of the spikes. But there’s a fractal nature to that spikiness, because when you zoom into the specific progress within math, you have some things that are a lot easier than others.”
Speaker
Grant Sanderson
Publisher
Dwarkesh Podcast

16 / prediction

If we take that conversation between Montgomery and Dyson at the IAS that suggests some connection between the Riemann hypothesis—or the Riemann zeta-function zeros—and random matrices, that feels like the kind of thing that you could try to automate.

“If we take that conversation between Montgomery and Dyson at the IAS that suggests some connection between the Riemann hypothesis—or the Riemann zeta-function zeros—and random matrices, that feels like the kind of thing that you could try to automate.”
Speaker
Grant Sanderson
Publisher
Dwarkesh Podcast

17 / evaluation

Because it’s deterministic, you can solve the credit assignment problem because you know that whatever caused this rollout to succeed and this one to fail, the diff is the thing that worked.

“Because it’s deterministic, you can solve the credit assignment problem because you know that whatever caused this rollout to succeed and this one to fail, the diff is the thing that worked.”
Speaker
Dwarkesh Patel
Publisher
Dwarkesh Podcast
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