Earlier quoted context omitted.
Not sure - but Waymo and a few Chinese vendors already have self-driving robotaxis in production. That, combined with the AI boom, tells me that building a self-driving car (even if geofenced and/or L3) is on the horizon. If that's the case, Tesla will probably figure this out as well.
"Traditional" self-driving stacks use a ton of pre-built maps, lidar and other range sensors, and has teams of people keeping those maps registered and up to date. Tesla's plan is (or has become) to do an end-run around all that, and just train a giant network on camera-only sensor stacks, so that it can navigate without large 3D representations of the environment / city in which it works, without expensive lidar/rad…
Besides, I'm pretty sure some degree of mapping is necessary - I know some seriously wonky roads with poor visibility, tons of shoulder lanes, roundabouts, and stop-and-go traffic, where I need to know which lane to get in half a kilometer before the turn comes up.
Most people can't figure it out at the first glance - I usually see a couple trying and failing every day.