OpenAIWhat racing reveals about working with AI — the OpenAI Podcast Ep. 22
Episode Details
EPISODE INFO
- Released
- July 16, 2026
- Duration
- 41m
- Channel
- OpenAI
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
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 edge without replacing the human expertise at the heart of racing, and why car culture runs so deep at OpenAI. Chapters 00:43 Intro to OpenAI researcher Joyce Ruffell and Chip Ganassi Racing 02:43 Intro to Chase Holden and RaceTek Systems 07:45 Joyce’s path into racing 10:00 Helping racing teams work with AI 15:31 Combining human feedback with racing data 18:26 How AI helps smaller teams compete 21:43 Spreadsheets and the “data wars” in racing 27:03 Getting started with AI and Codex 30:08 How RaceTek won its first customer 33:01 Humans, robot racing, and the future of competition 39:26 Using AI beyond the racetrack
SPEAKERS
Andrew Mayne
hostHost of the OpenAI Podcast who introduces the episode and interviews the guests.
Chase Holden
guestCo-founder of RaceTek Systems, building AI-enabled racing intelligence software for motorsports teams.
Joyce Ruffell
guestOpenAI researcher with an automotive background who discusses OpenAI’s motorsports work with Chip Ganassi Racing.
EPISODE SUMMARY
In this episode of OpenAI, featuring Andrew Mayne and Chase Holden, What racing reveals about working with AI — the OpenAI Podcast Ep. 22 explores racing shows how AI wins through organization, speed, and teamwork OpenAI researcher Joyce Ruffell describes a collaboration with Chip Ganassi Racing focused on making high-bandwidth time-series racing data accessible, comparable, and actionable faster than traditional workflows allow.
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