> why would we not take this opportunity to create a much clearer window to the past. My only concern would be that by the very nature of deep learning we are

> why would we not take this opportunity to create a much clearer window to the past. My only concern would be that by the very nature of deep learning we are seeding it with simulated information from the current era so we could be injecting temporal biases. Imagine the process of colorizing -- imagine there was a dye color that we couldn't manufacture prior to year X. And we train colorization on a dataset that whether known to the curator or not includes this dye. Are we creating images that are a misrepresentation of the past? On the other hand, "science" often does some pretty (I think) extreme extrapolation of things like dinosaur fossils, so maybe it shouldn't be such a big deal and it's just something we have to live with.