At the limits of thought

On one side is the human mind. On the other, the machines. Which will progress science? This is the crossroad at which the field finds itself today. "We are now trying to come to terms with the more complex world – from cells to tissues, brains to cognitive biases, markets to climates. Novel algorithms allow us to forecast some features of the behaviour of these adaptive systems that learn and evolve, while instruments gather unprecedented amounts of information about them." David C. Krakauer explores in Aeon magazine.