Azarakhsh shares the intricate process of conducting experiments in a reactor, where each session is limited to just six seconds of data collection. With only a few opportunities throughout the year, he emphasizes the importance of stability and risk mitigation in AI applications, highlighting the need for alternative solutions when unexpected issues arise. The meticulous preparation and reliance on historical data underscore the challenges faced in this high-stakes environment.
