Subvolts take AI's math progress shows what's coming for all fields. Jun 30, 2026 - Developers
- Learn how AI is transforming mathematical research and potentially other technical fields.
- Business
- Understand how AI's concrete progress in math signals future disruptions across industries.
- Everyday users
- See how AI's advancements in math offer a glimpse into its broader impact on science and knowledge.
This interview offers a deep dive with a respected mathematician on AI's tangible impact in a core scientific field.
Grant Sanderson – AI and the future of math
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Dwarkesh Patel interviews Grant Sanderson on the Dwarkesh Podcast about AI's rapid progress in mathematics. They discuss how math serves as a concrete example for AI's future impact on other fields. The conversation explores conceptual breakthroughs, the nature of mathematical understanding, and AI's role in connecting existing research. Sanderson offers advice for students passionate about AI-transformed fields.
AI is getting very good at math, faster than in other areas. This conversation uses math as a clear example to show how AI might change science and learning in the future. It helps us understand what AI progress will look like for everyone.
This episode offers a concrete look at AI's impact through the lens of mathematics, a field where AI progress is already tangible. It's for mathematicians, students, and anyone curious about how AI might fundamentally alter scientific discovery and human understanding. By examining AI's current capabilities in math, listeners gain insight into what AI progress in other domains, like those pursued by Google Gemini and OpenAI, might soon resemble. The discussion on conceptual breakthroughs and AI's role in research synthesis provides valuable context for the rapid advancements seen across frontier AI labs.
- HostDwarkesh Patel
- GuestGrant Sanderson
- Guest: Grant Sanderson
- Show: Dwarkesh Podcast
- Length: 94 minutes
- AI Progress: AI has made much faster progress in math than in other fields.
- AI's Role: Mathematics is showing concretely what AI progress in other fields will look like.
Always so much fun to chat with Grant.
AI has been making much faster progress in math than in other fields. As a result, mathematics is showing us, very concretely, what AI progress in other fields will look like. Even within mathematics, there’s a jagged landscape. What does it look like?
What is the nature of the most important conceptual breakthroughs in the history of mathematics, and how different are they from what AIs are currently able to do?
Does AI (on net) increase or decrease human understanding of the field?
How big is the overhang from having AIs systematically try to connect ideas already in the literature?
And what advice does Grant have for aspiring mathematicians, coders, and other students who are passionate about fields that are being most transformed upon by AI?
Watch on YouTube; read the transcript.
Sponsors
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* Jane Street sponsors 3Blue1Brown, so Grant has gotten to spend a lot of time with various Jane Streeters. He actually just recorded an interview with a few of them, so when we sat down for this episode, he told me about some of the things he learned, like how Jane Street keeps their role definitions fuzzy to make sure their people keep learning and growing. Go check out Grant’s full interview at 3b1b.co/janestreet
Timestamps
(00:00:00) – AI is discovering new proofs. Is that AGI?
(00:11:32) – The verification loop on conceptual breakthroughs can be a century long
(00:26:12) – Will we understand an AI proof of the Riemann hypothesis?
(00:38:08) – Can AI find the hidden bridges between fields?
(00:53:48) – Why real-world tasks don’t fit into RL environments
(01:07:07) – Good writing requires theory of mind that AI still lacks
(01:16:02) – Why learning will still depend on human curation
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
- overhang
- Grant Sanderson
- the potential for AI to systematically connect existing ideas in research literature
1 h 371 h 201 h 37AI researchers debate how close we are to recursive self-improvement
WithJohn Schulman, Beren Millidge, Charlie O’Neill
2 h 21
1 h 01
59 minQuestions people ask
- Why is AI progress in math important?
- AI has made faster progress in math than in other fields, offering a concrete example of what AI progress in other areas will look like.
- What advice is offered to students?
- Grant Sanderson offers advice for aspiring mathematicians, coders, and students passionate about fields being transformed by AI.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Dwarkesh Patel.