Opinion: Scalable Recombination of Simple Primitives Drives Complexity

The central argument is that complex systems — neural networks included — emerge from finding the right primitive building blocks and scaling their recombination, not from designing complexity directly. For practitioners, this frames architecture search and modular design as the core leverage point.