This whole project reads as a beginner's guide to ML and what it can do. I mean, it's nice and all but at some point I would've expected at least a mention tha

This whole project reads as a beginner's guide to ML and what it can do. I mean, it's nice and all but at some point I would've expected at least a mention that this all was solvable with a quantized neural network with low bit precision as well. Most of the article was about LSTMs and the recurrent design of those is just a very inefficient way to solve the problem at hand. I would've expected an LSTM try for something like a seed based randomizer like MT19937 and that the unfolding layers are trained on the seed itself with the idea that they learn how to predict the seed's state for the next iteration. Something like this would be really important research, especially in times where time based one time passwords are used everywhere, and their cryptographic security of how seeds are generated is important.