There’s something really interesting about the field of mathematics coming to the insight that the path is more important than the destination, which is clearly related to the insight that Fractured Entangled Representation (FER) in neural networks results from taking a bad path to a high-performing destination. Massively scaled AI is teaching us something deep about the importance of the path you take as opposed to the place you end up. This theme will be increasingly powerful as it washes over every field.