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Machine Learning will solve this

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I think it won't be long before Machine Learning will advance Tesla's black box to "disable" a local's charge port cover from opening at local SC's if it's determined by his driving pattern & habits that he is near his home charger and has enough juice to get there.

Or maybe a perpetrator's Tesla will autonomously be activated upon approach of the SC stall -- and prevent the car from turning in.

For apartment dwellers who don't have many choices other than SuperChargers, their Tesla would autonomously be summoned out of the stall and into a queue as out-of-state travelers approach to reenergize.

Machine learning will solve many of EV's charging problems.

Or maybe there's really no problems to worry about because here's evidence to prove Elon's theory that we're just characters in someone's video game:

Elon Musk believes our reality is a simulation. Here's 21 signs he's right.

Can anyone add something from the EV world to extend the list to #22?
 
#22 Werner Von Braun wrote a scifi novel about Mars 65 years ago. In it he mentioned that the title of the Leader of Mars is "The Elon".

About misuse of Superchargers, Tesla needs a new class of them to put in populated areas that are pay as you go. Superchargers per se are supposed to be out on the highway away from where people live. Abuse should be rare just because of location.

AP can help with Superchargers with a Supercharger Valet Mode. The car drops you off, waits for a place at the charger, pulls up and let's the snake charger plug in. When appropriate it moves on opening up the charger and picks you up. In urban parking garages this mode can use chargers placed away from busy areas on it's own so chargers are used efficiently without owners having to wait or walk much. Tesla needs snake chargers in urban areas for Mobility Fleets anyway.