You could train a classifier on all neat looking fortresses, then run outputs through the classifier. But you'd measure the cosine similarity to all previously-

You could train a classifier on all neat looking fortresses, then run outputs through the classifier. But you'd measure the cosine similarity to all previously-seen activations, and discard any that are too similar -- thus making sure that people need to come up with unique neat-looking fortresses. Today's stupid ML idea has been brought to you by: Gabe Newell. Inspiring future ML devs since 1996. A word from our sponsor: https://www.youtube.com/watch?v=jpw2ebhTSKs&ab_channel=TheChalkeaters https://www.youtube.com/watch?v=jpw2ebhTSKs&ab_channel=TheCh...