Ilya Sutskever sat on a Toronto panel in 2015 and laid out the entire trajectory of AI in five minutes. The thesis was one slide. Generality. Deep neural networks don't care what problem you give them. If the architecture solves one hard pattern recognition problem, it will solve every hard pattern recognition problem. Eleven years later every breakthrough has come from that single claim. GPT-4, Claude, Gemini, AlphaFold, Sora, AlphaGo. All the same recipe. Backprop, gradient descent, a deep…