shows both some of the advantages and some of the disadvantages of these fully visible belief networks first because the optimization process is very straightforward it's just minimizing a cost function with no approximation to that cost function it's very effective and generates really amazing samples but the disadvantage is that the sample generation is very slow in particular it takes about two minutes to generate one second of audio and that means that barring some major improvement in the way that we're able to run the model