As an owner of a HW 1 car, I'm of course curious about how much it will improve with future software.
If it is self learning at no cost to Tesla, one would assume that it would improve. Has anyone seen evidence of self learning though? I have not. For example there is a road in my neighborhood where the car always selects the turn lane while driving in the straight ahead lane, blinkers off. When the car initiates the turn, I usually take over the wheel and steer the car back to the straight ahead lane, then turn on AP again. 8 months of doing this taught the car(s?) nothing.
So I wonder if, A; self learning refers to only non location based driving algoritms or B: self learning refers only to the AP2 neural network? Is there any learning and knowledge carry over from AP2 learning to AP1 perhaps?
If AP1 is then built on manual programming, the reasons for diverting coding resources from current and future products would be customer satisfaction and resale value. So is Tesla doing it? Or is it in fact self learning? Let the speculation begin...
If it is self learning at no cost to Tesla, one would assume that it would improve. Has anyone seen evidence of self learning though? I have not. For example there is a road in my neighborhood where the car always selects the turn lane while driving in the straight ahead lane, blinkers off. When the car initiates the turn, I usually take over the wheel and steer the car back to the straight ahead lane, then turn on AP again. 8 months of doing this taught the car(s?) nothing.
So I wonder if, A; self learning refers to only non location based driving algoritms or B: self learning refers only to the AP2 neural network? Is there any learning and knowledge carry over from AP2 learning to AP1 perhaps?
If AP1 is then built on manual programming, the reasons for diverting coding resources from current and future products would be customer satisfaction and resale value. So is Tesla doing it? Or is it in fact self learning? Let the speculation begin...