

And to add to that, even if one does live in a city where they don’t need a car for day to day activities, if you ever want to leave the downtown and urban transit network (if it exists) your options are incredibly limited. I’m about to get an apartment and I probably could bike to work if I wanted to in good weather (would kinda suck and require crossing a large road with no pedestrian crossings whatsoever) but going to see family or my partner that lives 2 hours by car away is impossible.
I would love to take a train for both of those things, and there even is one (1) amtrak line from my home city that goes to one useful place for me but nowhere else in the state, and even that one line is only a couple days a week and almost never works out unless it’s actively planned around.



I don’t think you would have to use AI to convert gcode into a 3d model. The way I would approach it is basically run the gcode and take all the 3-D coordinates you get for where to print, then maybe run it through a filter or some such to extract just the outermost wall passes for each layer. Stack those up, do some sort of automated linking to create your triangles, and ship it off to the recognition AI.
it’s possible you could run that on a printer processor but unlikely.