Bottom line it seems when there is a new up date, Give it a day.... The NN will sort itself out.
I am highly skeptical of this idea that the NN is "learning" anything in an individual car. I think all the evidence we have is that a fixed NN is delivered to the car from Tesla, and there is no ability for the NN to adjust its own weights or learn outside of Tesla shipping a new NN in a new software update. And everybody (on that hardware configuration) gets the same NN.
We do know that the vehicles are capable of calibrating their own cameras. It is possible that with a software update, Tesla changes the calibration procedure and the cars silently recalibrate themselves during the first few days of driving. I'm pretty skeptical of this also. The sorts of behaviors that might change due to calibration are persistently hugging one side of the lane or another, or seeing cars ahead in your lane as being in a different lane, or vice versa. Sensor calibration would not change the actual driving or detection algorithms, just make the car's estimation of where things are more accurate.
It is possible that in fact these new updates have shipped with two sets of algorithms, one that is disabled until a sensor recalibration is completed, and when then would kick in as soon as recalibration is complete. I don't think we have any evidence that this is happening, and frankly it would probably be a lot of work for Tesla to do something like that, so I really doubt it. More likely they would ship the new calibration procedure in one update and then ship the code that makes use of it in the next.