What happens now that AI is good at math? - Episode 17

What happens now that AI is good at math? - Episode 17

Math is one of the clearest ways to see how far AI has come in a short span. OpenAI researchers Sébastien Bubeck and Ernest Ryu join host Andrew Mayne to explain what changed and what it could mean for the future of research. They reflect on how Ernest used ChatGPT to help solve a 42-year-old open problem, the difference between deep literature search and original mathematical discovery, and what changes when AI can work over longer timelines.


Chapters


01:27 The surprising progress of AI’s math capabilities

03:01 Solving an open problem with ChatGPT

06:57 How models went from basic math to research level

11:32 Why math matters for AGI

14:26 AI and the Erdős problems

21:26 Building an automated researcher

28:19 The role of humans as models improve

33:52 Verifying proofs with AI

36:00 The risk of shallow understanding

41:19 Advice for learning math with ChatGPT



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Jaksot(23)

What racing reveals about working with AI - Episode 22

What racing reveals about working with AI - Episode 22

Racing is a sport of tiny margins and mountains of data. OpenAI researcher Joyce Ruffell and RaceTek Systems co-founder Chase Holden are each using AI to help teams make better use of information from...

16 Heinä 41min

Why Tejal Patwardhan stopped underestimating the models - Episode 21

Why Tejal Patwardhan stopped underestimating the models - Episode 21

The old tests are getting too easy. Tejal Patwardhan leads OpenAI’s frontier evals team, which is finding new ways to measure and forecast progress as models become more capable. She and host Andrew M...

16 Kesä 44min

How a reasoning model cracked an 80-year-old math problem - Episode 20

How a reasoning model cracked an 80-year-old math problem - Episode 20

Last month AI found something mathematicians had missed for decades. Reasoning researchers Alexander Wei, Hongxun Wu, and Lijie Chen join the podcast to discuss how a general-purpose model helped disp...

4 Kesä 41min

Inside image generation’s Renaissance moment - Episode 19

Inside image generation’s Renaissance moment - Episode 19

People are generating over 1.5 billion images a week in ChatGPT. In this episode, Product lead Adele Li and researcher Kenji Hata share some of the new use cases and trends since the launch of Images ...

14 Touko 29min

Why AI needs a new kind of supercomputer network - Episode 18

Why AI needs a new kind of supercomputer network - Episode 18

Training frontier models isn’t as simple as adding more GPUs—one small problem and the whole coordinated dance falls apart. OpenAI’s Mark Handley and Greg Steinbrecher discuss how a new supercomputer ...

6 Touko 37min

Building AI for Life Sciences - Episode 16

Building AI for Life Sciences - Episode 16

What does it take to build AI systems that can actually help scientists? Research lead Joy Jiao and product lead Yunyun Wang discuss how OpenAI is developing models for life sciences and what responsi...

16 Huhti 44min

Inside the Model Spec - Episode 15

Inside the Model Spec - Episode 15

The more AI can do, the more we need to ask what it should and shouldn’t do. In this episode, OpenAI researcher Jason Wolfe joins host Andrew Mayne to talk about the Model Spec, the public framework t...

25 Maalis 37min

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