Sound is one of the world’s richest but least accessible data sources. Most audio exists as a single, tangled mix—impossible to edit for humans and noisy for machines to understand. This talk explores how advances in audio separation are unmixing the world: splitting sound into its component parts so it can be edited, searched, and programmed like code. For humans, this means new creative control, immersive experiences, and copyright-safe workflows. For machines, it provides the fine-grained dat