Im reminded of the multimillion dollar AI-based image recognition system the military developed, in the 80s or 90s to analyze images looking for tanks. When the

Im reminded of the multimillion dollar AI-based image recognition system the military developed, in the 80s or 90s to analyze images looking for tanks. When the system was tested on photos, that were not from their pool of stock test photos used to train the systems, it got almost 100% wrong. Why? Because they stock photos had well-composed shots on a sunny day with some clouds (usually the spots tanks are hidden in are overcast or very cloudy). The "real" shots were all cloudy (as expected) and the system had actually been trained to recognize discrete clouds rather than Tanks. Perception is about distinguishing, imagining physical properties (this can be disassembled or just casually appears composite due to perspective), judging and guessing at unseen properties. I figure an pool ball has a curved 3d spherical shape, because I've seen one before and felt it. At the same time I imagine that there is no "top" or differing feature anywhere on the ball, based on the appearance of what portion I can see (it looks clear and flat white? i expect the rest to be so).