According to reports, Tesla employees were instructed to override Autopilot’s original programming, which strictly followed road signs and traffic signals. Instead, they were encouraged to train the system to prioritize the flow of traffic and make decisions based on real-world driving scenarios.
This training was aimed at making Tesla’s Autopilot feature more intuitive and adaptable to different driving conditions. By teaching the system to ignore certain road signs, Tesla wanted to create a more human-like driving experience that didn’t feel robotic or overly cautious.
By allowing Autopilot to use its own judgement and rely on its advanced sensors and cameras, Tesla aimed to make driving safer and more efficient for its customers. This approach was intended to make Autopilot more responsive to real-time traffic conditions and unexpected obstacles on the road.
While some critics may view this training as potentially risky or controversial, Tesla defended its decision by emphasizing the importance of creating a driving experience that feels natural and intuitive. By teaching Autopilot to ignore road signs, Tesla believes it can better mimic human driving behavior and make its cars more enjoyable to drive.
Ultimately, Tesla’s goal is to continue developing and refining its Autopilot feature to make driving safer and more enjoyable for everyone on the road. By training the system to ignore road signs and follow a more dynamic approach to driving, Tesla hopes to set a new standard for autonomous vehicles in the future.