{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/68470ba8d911dedd6501609c/6a586d9d0829753043891e8e?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"What racing reveals about working with AI - Episode 22","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/68470ba8d911dedd6501609c/1784179886516-68f3c360-5379-47da-96ee-546b013c9351.jpeg?height=200","description":"<p>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.</p><p><br></p><p><br></p><p><strong>Chapters</strong></p><p><br></p><p>00:43 Intro to OpenAI researcher Joyce Ruffell and Chip Ganassi Racing</p><p>02:43 Intro to Chase Holden and RaceTek Systems</p><p>07:45 Joyce’s path into racing</p><p>10:00 Helping racing teams work with AI</p><p>15:31 Combining human feedback with racing data</p><p>18:26 How AI helps smaller teams compete</p><p>21:43 Spreadsheets and the “data wars” in racing</p><p>27:03 Getting started with AI and Codex</p><p>30:08 How RaceTek won its first customer</p><p>33:01 Humans, robot racing, and the future of competition</p><p>39:26 Using AI beyond the racetrack</p><p><br></p>","author_name":"OpenAI"}