I am reading all over the place that Tesla cars "learn" as more miles driven, that with AI the learning process is faster, that with shadow mode Tesla validates the software etc etc.
Can someone with knowledge on the subject please explain what exactly "learning" means and how it happens (or point to a page that explains it)?
So, I drove today 20 miles with autopilot (TACC and auto steering). What exactly Tesla learned from this? Is the car recording the lanes? GPS position?And if it does, is it only for my car or it uploads the recording to the cloud? When? How often? What else and how the car "learned"?
During my drive there was a false collision warning alert. How did Tesla or the car learn from this? Does the car record from the cameras and sends images to the cloud so that Tesla engineers figure out what happened? Or the car automatically figured out that this was a false alert and "learned" for the next time?
Is "learning" a manual process (engineers collect data and modify the software) or automatic (software corrects on its own somehow)?
:Confused:
Can someone with knowledge on the subject please explain what exactly "learning" means and how it happens (or point to a page that explains it)?
So, I drove today 20 miles with autopilot (TACC and auto steering). What exactly Tesla learned from this? Is the car recording the lanes? GPS position?And if it does, is it only for my car or it uploads the recording to the cloud? When? How often? What else and how the car "learned"?
During my drive there was a false collision warning alert. How did Tesla or the car learn from this? Does the car record from the cameras and sends images to the cloud so that Tesla engineers figure out what happened? Or the car automatically figured out that this was a false alert and "learned" for the next time?
Is "learning" a manual process (engineers collect data and modify the software) or automatic (software corrects on its own somehow)?
:Confused: