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The findings make sense, provided that people who find themselves already inventive don’t actually need to make use of AI to be inventive, says Tuhin Chakrabarty, a pc science researcher at Columbia College, who makes a speciality of AI and creativity however wasn’t concerned within the examine.
There are some potential drawbacks to benefiting from the mannequin’s assist, too. AI-generated tales throughout the board are related when it comes to semantics and content material, Chakrabarty says, and AI-generated writing is stuffed with telltale giveaways, akin to very lengthy, exposition-heavy sentences that comprise a lot of stereotypes.
“These sorts of idiosyncrasies in all probability additionally scale back the general creativity,” he says. “Good writing is all about exhibiting, not telling. AI is all the time telling.”
As a result of tales generated by AI fashions can solely draw from the info that these fashions have been skilled on, these produced within the examine have been much less distinctive than the concepts the human individuals got here up with totally on their very own. If the publishing business have been to embrace generative AI, the books we learn might grow to be extra homogenous, as a result of they might all be produced by fashions skilled on the identical corpus.
This is the reason it’s important to check what AI fashions can and, crucially, can’t do nicely as we grapple with what the quickly evolving know-how means for society and the economic system, says Oliver Hauser, a professor on the College of Exeter Enterprise Faculty, one other coauthor of the examine. “Simply because know-how will be transformative, it doesn’t imply it is going to be,” he says.
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