Our perceived need to control and understand the natural world is innate. From the earliest days, humans have devised models, anthropomorphic or natural, that explain and predict the phenomena we observe around us. Gradually, this understanding evolved to take advantage of abstract logical structures and its expression in the language of mathematics. Over the last century, however, a second shift has quietly transformed the field: the use of massive universal digital computers to carry out large scale simulations. And today, we are at the verge of further revolutions that are changing the very concept of computation— from neuromorphic computing erasing the difference between data and code to novel hardware taking advantage of quantum nature of reality to offloading learning and intelligence itself onto the machines—these seem to change the very nature of our theories and understanding. Here, I will discuss these revolutions from the point of view of a theoretical particle physicist and express the promise that they portend.