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
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
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
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
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 fo...
28 Huhti 43min
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
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
