Artificial Intelligence has just completed its own ‘Game of Thrones’ under the penmanship of a software engineer Zack Thoutt. You must have become tired of waiting for George RR Martin to accomplish his latest installment of ‘A Song of Ice and Fire’ named ‘The Winds of Winter.’ Thanks to Thoutt who has applied the algorithm to speculate what will happen next.
A ‘Game of Thrones’ avid fan and software engineer, Thoutt created a typical artificial intelligence called Recurrent Neutral Network (or RNN). He fed all the pages (over 5,300) of the initial five books in the series to the network and then created five predicted chapters on it. He then published those materials on the GitHub website for the project.
‘Game of Thrones’ is said to be based on ‘A Song of Ice and Fire’s’ storylines set in the fictional Seven Kingdoms of Westeros and the continent of Essos. Thoutt, who completed a Udacity course on artificial intelligence and deep learning, has beautifully programmed it (artificial intelligence) to work on the novel using the characters from Seven Kingdoms of Westeros.
“I am a huge fan of Game of Thrones, the books and the show. I had worked with Recurrent Neutral Networks a bit in that class and thought I would give working with the books a shot,” Thoutt opined, Motherboard reported.
The experts believe that Thoutt’s work might be the best we have received for a while because a majority of fans were tired and sick of waiting and almost given up all hope on George RR Martin delivering the final work on ‘The Winds of Winter.’
According to the prediction done by Thoutt’s artificial intelligence, Jaime murdered Cersai and John had a belief that he was a wolf, that’s how chapter 5 started. Since Thoutt has already published the first five chapters to GitHub, it is quite easy for ‘Game of Thrones’ fans to get a rough idea of the plot. You can read all the chapters here.