A new writeup simplifies the theoretical machine learning paper On the Complexity of Neural Computation in Superposition. The author distills dense theoretical computer science concepts into an accessible overview after a failed attempt to master the math in one hour. This summary helps practitioners grasp how models store more features than they have dimensions.