Episodes: 23
Frequency: Monthly
Rating: 4.1/5.0
Estimated listeners: 1k-10k
Gender skew: Unknown
Location: USA
YouTube: 2.0M subscribers
Instagram: 4.0M followers
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Andrew Mayne - Podcast host at OpenAI who leads conversations about artificial intelligence research, product development, and real-world applications.
Chase Holden - Applying Artificial Intelligence To Racing Data, Helping Smaller Teams Compete, Building Racetek Systems, And Using Chatgpt And Codex In A Specialized Industry.
What racing reveals about working with AI - Episode 22
July 16, 2026
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 the track, the garage, and the people behind the wheel. They discuss OpenAI’s research collaboration with Chip Ganassi Racing and how Chase used ChatGPT and Codex to go from hosting a NASCAR podcast to building a racing intelligence company. They also examine how AI could give smaller teams an e...
Why Tejal Patwardhan stopped underestimating the models - Episode 21
June 16, 2026
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.Chapters00:00:24 Growing up at OpenAI00:03:10 Why reasoning changed everything00:06:28 What made o1 surprising00:11:20 Why old benchmarks stopped working00:14:45 What makes...
How a reasoning model cracked an 80-year-old math problem - Episode 20
June 04, 2026
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 disprove an 80-year-old conjecture from famed mathematician Paul Erdős. They walk through the moment the result started looking real, what it took to verify the proof, and what’s happened since sharing the discovery with the world. They also explore what this means for the future of math and for rese...
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