> They respond in much smarter ways than traditional multi-layer perceptrons or traditional RNNs like LSTM networks because their attention mechanisms helps them to make much better sense of the input they were provided by selectively paying more or less attention to different parts of the input (including their output generated so far). This is similar to what humans do.
This is not in any way similar to what humans do.