Our minds aren’t equipped to handle AI. It’s like junk food for the brain: it’s tempting and easy, but ultimately bad for cognitive health.

Alan Turing’s idea that the brain works like a computer has driven progress, but it’s a warped and limited view. The computational model, while productive, is too simple. Our brains are better understood as feedback-control systems, adjusting inputs and actions in response to the world.

Take the example of catching a fly ball. The computational model suggests complex mental calculations, while a more accurate approach is to simply keep the ball in the same position in your visual field. This aligns with our evolutionary history, where new behaviors emerged in response to new environmental challenges.

For instance, as dinosaurs died out, nocturnal creatures could move about safely during the day, leading to new cognitive and physical capabilities. Our brains have evolved to continuously extend control further into the world, not just process information.

This model provides a different perspective from the traditional computational one, offering a more holistic view of cognitive processes. It highlights the importance of understanding brain evolution to truly grasp how we think and act.