Sensory signals flood the human body through photons, air waves, and chemicals. A new framework describes how the brain compresses this torrent of noisy data to enable navigation. These biological mechanisms offer a blueprint for improving efficiency in neural networks. Practitioners can apply these compression principles to reduce model latency.