The funniest part is that you can't get better than the input you put in. Only when the thing can generalize from a few top notch examples would this problem b

The funniest part is that you can't get better than the input you put in. Only when the thing can generalize from a few top notch examples would this problem be solved. Throwing in a ton of garbage into an automated remixer will produce garbage output that cannot be helped by better classifying it. Even with the 0.01% false positive there is so much trash input the system will learn and reproduce that. So the future should be developing few shot learning further...