Here's the description from the slide:

     •  Ilya Sutskever (2011) trained a special type of recurrent
      neural net to predict the next character in a sequence.

     •  After training for a long time on a string of half a billion
      characters from English Wikipedia, he got it to generate new
      text.

           – It generates by predicting the probability distribution
            for the next character and then sampling a character from
            this distribution.

           – The next slide shows an example of the kind of text it
            generates.

     Notice how much it knows!
     
     Some text generated one character at a time by Ilya Sutskever’s
     recurrent neural network:
     
     In 1974 Northern Denver had been overshadowed by CNL, and several
     Irish intelligence agencies in the Mediterranean region. However,
     on the Victoria, Kings Hebrew stated that Charles decided to
     escape during an alliance. The mansion house was completed in
     1882, the second in its bridge are omitted, while closing is the
     proton reticulum composed below it aims, such that it is the
     blurring of appearing on any well-paid type of box printer.