|
|
|
|
|
by ChuckMcM
3565 days ago
|
|
I was really fascinated by that comment as well, but not for privacy reasons, I believe that while it would be able to peruse server logs at Tesla to understand where a particular car was at a particular time, that is no worse than OnStar or current phone GPS tracking. The interesting thing is the data set of watching humans drive and using models to drive for the same place. This only works if the "place" is not notably different from the model, say a semi has hit the overhead and its now hanging into the roadway, can the car distinguish between a sign hanging sideways and one that is attached normally? Severe storms and down power lines is another interesting question. Does autopilot recognize the environment has been grossly modified and refuse to drive? Earthquakes, tornadoes, floods, all can grossly change the environment at a particular geocoded location. What if a Tesla owner's club decides to use a piece of highway 58 out in Nevada as a race strip? Does autopilot assume that when you hit this point you are supposed to stomp the accelerator and go as fast as you can? (ok that is a stretch) It's the data without the knowledge. Something machine learning is bad at (hence turning chat bots into vitriol spewing fascists). VERY interesting times. |
|
Humans are not perfect in those situations either, and cause plenty of fatal crashes.
Remember, autopilot doesn't have to be anywhere near perfect. It only has to be better than humans are now.