Cool , thanks for the advice . <| sep |> A neutral network is made of a bunch of very simple neurons that are trained as a whole . When there ' s an error in the output it is propagated back through the neurons and they change a little . You end up with all these neurons that are just a bunch of seemingly random numbers . If you trained the network twice with different random seeds then all those numbers would turn out different even though the network might act the same . Google ' s AI has it ' s own language the same way that literally every neural network has these uninterpretable insides . It ' s simply a property of neural networks . <| sep |> He opens his arms . <| sep |> I dyed inside <| sep |> I have a stack of old hand souls ? Do you have 0 hollow warden twin blades or hollow uchigatana ?