Has anyone proven that the recent spate of "apply neural networks to a text corpus" projects produce output any "better" than a markov chain with the same inputs would?
With password guessing, one wants to generate as many possible options as possible in order of most likely to least likely. If the generation method takes more than a microsecond it might already be faster to just go the brute force way.
With speech recognition one is also time-constrained, but much less so. If it takes 0.2 seconds to come up with the best match, the user is barely done pronouncing the next word.
Neural stuff is slower than Markov chains if I'm not mistaken, but while for speech recognition that might work great, it could be fatal for password guessing.
