I have an intersection near where I live where the Tesla cannot go thru in the right lane without wanting to end up in the left lane past the intersection (I gu

I have an intersection near where I live where the Tesla cannot go thru in the right lane without wanting to end up in the left lane past the intersection (I guess it's a bit of a twisty local road). At first, it would be going in a straight line, then when it hit the moment of confusion would snap into the left lane so quickly, some 200 ms or something. Never tried it with a car in that spot fortunately. After a nav update, it now panics and drops out of auto-pilot there and has you steer into the correct lane. Nothing to do with poor visibility or anything, just a smooth input that neatly divides its "where is the straight line of this lane" ML model, or whatever. It's actually fascinating to watch - it just clearly has no semantics of "I'm in a lane, and the lane will keep going forward, and if the paint fades for a bit or I'm goign thrur a big intersection, the lane and the line of the lane is still there." It also doesn't seem to have any very long view of the road. I got a Tesla at the same time of training my boys to drive, and with them I'm alwys emphasizing when far away things happen that indicate you have increased uncertainty about what's going on down the road. (Why did that car 3 cars ahead break? Is that car edging towards the road going to cut infront? Is there a slowdown past the hill?) The Tesla has quick breaking reflexes but no sign of explicitly reasoning about semantic layer uncertainty