An automated vehicle has a couple of well defined controls. It cannot play the piano. It cannot recommend products. It cannot take a picture and tell me what kind of bird that is. In fact, it probably cannot even drive offroad, despite that being a very closely related task to what it is made to do.
A person trained to drive a car on roads may have difficulty time on his first few offroad drives, but can quickly aquire the skills. He won't be completely unable to function either, because to a human, navigating is navigating, whether we walk through our own homes, or drive a vehicle over rough terrain.
To AI as we currently understand it, all of these are completely different tasks.
Driving a car involves effectively infinite possible choices over time. It’s both qualitatively and quantitatively vastly less constrained than chess. Classifying them both as very limited is clearly wrong.
Also, the DARPA grand challenge was for self driving cars off road, it’s a simpler problem no need to check for traffic lights and stop signs it’s the same general problem. Which brings up another possibility, there are only so many tasks we might want AI for so specific systems for every single one is effectively the same thing as AGI.
An automated vehicle has a couple of well defined controls. It cannot play the piano. It cannot recommend products. It cannot take a picture and tell me what kind of bird that is. In fact, it probably cannot even drive offroad, despite that being a very closely related task to what it is made to do.
A person trained to drive a car on roads may have difficulty time on his first few offroad drives, but can quickly aquire the skills. He won't be completely unable to function either, because to a human, navigating is navigating, whether we walk through our own homes, or drive a vehicle over rough terrain.
To AI as we currently understand it, all of these are completely different tasks.