Here is a theory I have - Perhaps AP 1.0 can be trained to avoid stopped objects in the road such as the incident in Norway with the delivery truck in the lane - and of course the fatality of July 1. Remember that Mobileye's EyeQ3 comes with a trained data set from Mobileye which breaks computer vision down into sub-tasks groups such as Path planning Object detection Edge detection Free space detection Pedestrian detection Mobileye has stated publicly that they have a rapidly growing employee base which does nothing but "annotate" images all day for the neural networks to train on - marking images with category labels such as "person." Then the neural network is trained to recognize such categories. Mobileye has never publicly stated that EyeQ3 is a closed box - for all we know Mobileye is giving Tesla improved versions of its firmware as time goes on and they get more and more images annotated. Lastly we know that Mobileye's executives have stated that EyeQ3 is a very "unstressed" piece of hardware running at only 5-10% of its computing capacity. On top of this fact is the fact that Tesla is writing its own sensor fusion software and is engaged in its own fleet learning project. It seems plausible that at this very moment Mobileye is now annotating images with labels such as "stopped truck sitting in highway" and "large semi trailer spanned across highway" - and that sometime soon these new components of image detection could be loaded into firmware on all current autopilot equipped Teslas. Mobileye has stated that in 2018 "turn across path" detection is coming but I did not read anything which specified whether or not EyeQ3 is powerful enough to handle it - maybe it will now be rushed into a higher priority.