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Can AI write the next great novel?

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Maeve Harris
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As generative AI continues its meteoric rise, some have begun asking if tools such as ChatGPT could write fiction on par with the greats.

Given the depth of human creativity and emotion needed to produce timeless classics – such as Emily Brontë’s Wuthering Heights, William Golding’s Lord of the Flies or Charles Dickens’ Great Expectations – could a computer program truly compete?

“[As an author] I want to be memorable. I want to be the best ever. I want to be superlative,” said the Economist deputy executive editor Kenneth Cukier, explaining that LLMs (large language models) are trained to produce content that is average and lacking originality.

“In short, the way the system works is to find the median answer. An LLM wants to make sure an answer is good. If you think of it as a Gaussian distribution, wham, right in the middle, it’ll be good. But I don’t want good. Good sucks,” Kenneth said. 

While AI can churn out prose, some people doubt it possesses the deeper logic or intelligence required for more complex stories. In reference to John le Carré’s page-turner, The Spy Who Came in from the Cold, Kenneth said that “to have done that, these cross- connections are so elaborate and require symbolic reasoning, and a sense of deception”.

“Can [GenAI] write a bestseller? Today? No. Tomorrow or some time in the future? Yeah.”

Tera Ventures general partner Eamonn Carey

Indeed, AI struggles with “the humanity in those characters; the story; the narrative,” said columnist and Tera Ventures general partner Eamonn Carey referencing Haruki Murakami’s 1Q84. “When I finished, it was like I’d lost my friends.”

“I do think that you can use these tools to help you ideate,” the columnist stated. But, “for fiction novelists, you’re gonna have to write it yourself; you’re gonna have to do the hard work,” Eamonn added. 

Kenneth claimed that, while truly standout literature is out of reach, current generative AI is probably capable of writing a decent ‘airport novel’. “Dan Browne is formulaic … so AI should be fantastic at doing that,” the editor added.

Of course, what differentiates between a good read and great literature is truly subjective. Dan Browne’s works might be regarded as forgettable distractions by some, but they consistently knock it out of the park on the bestseller lists. Isn’t that a mark of good entertainment? And certainly one that ChatGPT could set its sights on reproducing if there’s a formula to it.

Perhaps the true test will come when AI can make us shed tears at a story’s end. Because, as Kenneth put it, what we remember most are “books where you were sad; where you deliberately read slowly, so that you wouldn’t finish it”. Until AI can do that, the novels that leave a mark will likely still come from the heart and not an algorithm. 

Of course, AI will keep advancing. “Can [GenAI] write a bestseller? Today? No. Tomorrow or some time in the future? Yeah,” predicted Eamonn.

To find out more about the 2023 trends across media, marketing, and the creator economy, take a look at our marketing and media insight report.

Image: Web Summit

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