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The AI Podcast
Ep. 38: Spoiler Alert! AI Predicts Next Chapter in Game of Thrones Saga
Sep 14, 2017
Joining the podcast is Zack Thoutt, a data scientist from Boulder, Colorado, famous for using AI to predict outcomes in the Game of Thrones saga. He dives into the intriguing use of neural networks to analyze narrative paths in the series. Zack shares quirky results and unexpected character fates, like Cersei's demise and Ned's survival. The discussion also highlights AI's role in creative writing, exploring how it can help generate endless narratives while facing challenges in coherence. Plus, there's a fun look at fan theories surrounding the series.
18:00
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Quick takeaways
- A data scientist successfully employed AI to generate text for the unfinished Game of Thrones book, highlighting AI's potential in creative writing.
- Despite its capabilities, the AI's inability to maintain long-term plot consistency underscores the challenges faced in machine-generated storytelling.
Deep dives
Using AI to Write the Next Game of Thrones Book
A data scientist has utilized a neural network to generate new text for the unfinished Game of Thrones book, The Winds of Winter. By training the model on the existing text from the A Song of Ice and Fire series, the AI learned to recognize patterns and structures in the writing. For instance, the developed system uses unique identifiers for around 32,000 distinct words found in the series, allowing it to produce text that mimics the style of George R.R. Martin. Although the generated text lacks perfect grammar, it reflects the characters and tone of the original works, offering a novel exploration of AI in creative writing.
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