In this episode, we delve into a game-changing approach developed by the University of Michigan, where 'simulated terrible drivers' in a mixed reality environment are used to drastically cut the time and cost of Autonomous Vehicle (AV) safety testing. Discover how this innovative method enhances testing by focusing on rare but critical driving events, potentially accelerating the deployment and public acceptance of self-driving cars.