In 1950 von Holst and Mittelstaedt rotated a hoverfly's head one hundred and eighty degrees, so that everything the fly's eyes reported about its own turning arrived with the wrong sign, and the fly spun in circles until it starved. The conclusion built a principle: the nervous system sends a copy of every motor command inward, predicts the sensation that command will cause, and subtracts it. What survives the subtraction is news, the part of the sensory stream the world contributed. The loop is act first, sense against your own prediction second. Machine learning reinvented this under other names: an architecture that predicts its own latent representations is running an efference copy in ML dress, and the previous lesson priced why that is the cheap side of the ledger. This bench builds the copy in eight lines. First as a detector: self motion is loud, world events are quiet, and the copy is the difference between missing everything and missing nothing. Then as the fly: flip one sign and the same loop that held still becomes the loop that spins.