[buvanshak]

>but have the computers learning through that constant, immediate feedback.

I don't know what is stopping them from simulating everything inside a computer.

Record the input from all the sensors when a car equipped sensors is driven through real roads by a human driver. Replay the sensor input, with enough random variations and let the algorithms train on it.

Continue adding to the library of sensor data by making the sensor car by driving it through more and more real life roads and in real life situations. Keep feeding the ever increasing library of sensor data to the algorithm, safely inside a computer.

[kolpa]

>I don't know what is stopping them from simulating everything inside a computer.

Obviously they've already tried that, and it doesn't work. The map is not the territory.

In theory, there is no difference between theory and practice. In practice, there is.

[buvanshak]

Not following you here. What do you mean by "The map is not the territory."..

What I mean is that. Do not "teach" the thing in real time. Instead collect the sensor data from the cars a human is driving (and also collect the human input also), and train the thing on it, safely inside the lab.

You say, they have done it already. But I am asking if they have done it enough. And if that is so, how come the accidents such as these are possible, when the situation is pretty out of a text book in basic driving?