The deep neural networks that power today's Artificial Intelligence (AI) systems work in mysterious ways. They're black boxes – a question goes in and an answer comes out the other side, and while we might not know exactly how a black box AI system works, importantly we know that it does work. Over the past year there have been a few attempts to try to read and analyse the minds of these black boxes, from companies like Nvidia who use visualisations, to MIT who tried to analyse the neural network's layers, to Columbia University who pitted AI's against each other. But, frankly, none of them even come close to the out the box thinking, if you'll excuse the pun, of this approach – using biology itself to crack the black box open. A new study that mapped a neural network to the biological components within a simple yeast cell allowed researchers to watch the AI system at work, and it also gave them insights into cell biology in the process, and the resulting technology could help in the quest for new cancer drugs and personalised treatments.