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...