> Finally, calling what Tesla is doing "single frame image object classification" really betrays your bias here. That hasn't been an accurate description of the

> Finally, calling what Tesla is doing "single frame image object classification" really betrays your bias here. That hasn't been an accurate description of the system for a long time. I might think differently if the moon hadn't turned into a traffic light a few months ago. But it did. That kind of failure only happens if you aren't sensing environment geometry. Many of their error scenarios very strongly mimic what you'd get if you looked at a single frame, identified things in it, and then used the vehicle's own motion to hallucinate those things moving by zero-update dead reckoning.