AI is transforming everything in our lives. The basis of every AI algorithm is classification. An image of a car is recognised as that of a car. Easy. Is that how our brains really work. Is our decision making really optimizing? Well, maybe not! We don't always take the best decision, okay so maybe the most popular a lot of times. But we are also contrary in our human condition. We store memories and images in a way that is not very linear, and easily classifiable. What makes us human, is our ability to err, to make mistakes, to misidentify, to misclassify and to repeatedly take the wrong decisions and take those infamous wrong turns in our lives. So our programming it seems has limited AI to remain the trusted secretary who can put only your best way forward with highly accurate classifications and the reliability of the accumulated (recorded) wisdom. But how do we store memory, how do we access feelings? I use the most loved Python programming language and open CV library to recreate a non linear way of storing our memories and images. I layer images, mostly taken in a row in a short time frame, and I layer them randomly in various combinations to achieve what I think is the best represetantion. These ijmages will never be used to train any neural network, however if we had to, what were the tags you would use to classify this?Â