134. Can We Trust Self-Driving Cars? 🚗💥
Hosts Daniel and Forbode discuss a proposal by MIT researchers to bridge the gap between autonomous vehicle technologists and regulators by introducing a hybrid safety model. They analyze how remote human supervisors can assist self-driving cars with complex tasks like highway merging, achieving 99.999% reliability when 30% of vehicles are cooperative. The episode highlights the scalability challenges of this approach, noting that while feasible for early adoption, it requires significant labor resources compared to fully autonomous systems.