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GM says they are "ready". However, every article I have read says we aren't even really close.

https://www.npr.org/sections/thetwo-way/2018/01/12/577688125...

This will work in cities with good weather, clear road markings, etc. In other words, in a "geo-fenced" area with known quantities. They even mention that in their PDF, but not in the actual NPR article.

Scan back a few days on this board (and maybe AF too) and you will see articles about approaches to fully AI driving and the challenges that continue to plague it. Even something simple such as following a vehicle that changes lanes to go around a stationary object (which I believe is described in the Tesla owner's manual as a potential danger) may not be recognized by the "autopilot", causing a crash.

https://insideevs.com/why-tesla-autopilot-hits-parked-cars/

This one shows a Tesla, but another article I read indicated this is not unique to Tesla's autopilot system. Most of them will respond the exact same way. There are things human drivers are better at, and this is one of them. Heck, I encountered something like this once already this week on my daily commute. For me, no problem. Had to brake harder than usual, but safely stopped the vehicle without hitting the stopped (in traffic) car.

I freely admit I was caught-up in the hype and futursticness of autonomous cars, and stories like the guy who had a medical problem at home (heart attack? injury?), got into his Model S and told it to take him to the hospital...and it did. Very exciting. Very cool. But after a lot more reading, learning about LIDAR and Big Data and various other approaches, and just how far we really are from reliable full-autonomy, that excitement has waned quite a bit. It's still really cool, but I would not want to rely on it in my vehicle. As an assist, sure. But there are still things I will do better than it will.

Also, relevant to the hacking aspect:
https://www.youtube.com/watch?v=J-hqwMFffcw
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