OpenAI Podcast
OpenAI Podcast
Podcast Description
Hosted by Andrew Mayne, The OpenAI Podcast features conversations with the people building with and working at OpenAI. Topics range from how new features are developed to what users are doing with the technology. It’s a practical look at how AI is made and where it’s going, told by the people closest to the work. Hosted on Acast. See acast.com/privacy for more information.
Podcast Insights
Content Themes
The podcast covers a range of topics related to AI, including new feature development, user applications, and future trends. For example, the first episode features a discussion with Sam Altman on topics such as AGI, GPT-5, AI-powered parenting, and the implications of AI technologies on society. The show aims to provide practical insights into how AI is created and evolves.

Hosted by Andrew Mayne, The OpenAI Podcast features conversations with the people working at and building with OpenAI. Topics range from what goes into developing frontier AI models and new features, to what users are doing with the technology. It’s a practical look at how AI is made and where it’s going, told by the people closest to the work.
Hosted on Acast. See acast.com/privacy for more information.
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 Mayne discuss why evals matter for research, how benchmarks can break or get gamed, and what models need to be judged on next.
Chapters
00:00:24 Growing up at OpenAI
00:03:10 Why reasoning changed everything
00:06:28 What made o1 surprising
00:11:20 Why old benchmarks stopped working
00:14:45 What makes a good benchmark
00:17:35 Why evals are getting harder
00:22:09 Measuring voice and vision models
00:24:48 Testing models on real science
00:33:23 How OpenAI tracks frontier progress
00:40:47 What AI means for work
Hosted on Acast. See acast.com/privacy for more information.

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