Mesa-Optimization is the situation which occurs when a learned model (such as a neural network) is itself an optimizer. A base optimizer optimizes and creates a mesa-optimizer. Previously work under this concept was called Inner Optimizer or Optimization Daemons. Arguably, humans are a mesa-optimizer that arose from the base-optimizer of evolution.