>rediscovered a decade's worth of collective knowledge Unless one can guarantee this knowledge wasn't in the training data, it's not rediscovered, it's regurgi

>rediscovered a decade's worth of collective knowledge Unless one can guarantee this knowledge wasn't in the training data, it's not rediscovered, it's regurgitated. Good example of the bias that exist with AI: when the output/performance can be interpreted in two different manners, I consistently find people unconsciously choosing the option painting the AI in a better light. I don't think AI / deep learning is useless, but I do think it's overrated at the moment.