I'm with you here. There are ethical concerns, legal concerns for productization, and overall this defeats the purpose of creating novel algorithms rather than

I'm with you here. There are ethical concerns, legal concerns for productization, and overall this defeats the purpose of creating novel algorithms rather than a better trained model. For instance, with the same scraping being used to train the deepfake GAN, would their model be more or less effective than a competitor model? It seems like they won from a disparity in data not an innovative technical approach.