The second point I would make is in regards to your non-sense justification for how the process works i.e. it only makes sense in distribution terms on massive scales, noone is individually identifiable, a single point is irrelevent anyway. I would reply that although tensor flow sounds like fluid mechanics where individual randomness can be ignored that's not how it really works or what the neural nets are doing. What you actually want is a very large spy net to find the important particles, ideally a few orthogonal ones then watch those very closely. The idea that you haven't noticed most data is not worth collecting very vigorously i find to be ungreen, since it is a waste of the world computing resources.