Again, what you're proposing has no basis in today's reality of how ML is implemented. Especially not for classifying image data. What you're proposing is some

Again, what you're proposing has no basis in today's reality of how ML is implemented. Especially not for classifying image data. What you're proposing is some kind of machine intelligence that can only exist right now in a William Gibson novel. Reinforcement learning is something similar, along with unsupervised learning. But you still need to define some kind of objective function and rules to play by. The AI cannot come up with this on its own. And the real world is far too complex to model all of these physical rules you've mentioned. Reinforcement learning can work for Go because the rules of the game are relatively simple. It is the number of possible moves/outcomes that make it enormously complex.