Deepfake Autofiction – What really is this and where does it stand?
Deepfake Autofiction – What really is this and where does it stand?
Novels are among the other forms of media that are slowly seeing the benefits of AI and deep learning, which were previously mostly used for image and video manipulation. The most recent example of this pattern is the book "Amor Cringe," which presents itself as an example of "deep-fake autofiction." The author, K. Allado-McDowell, claims that they worked together with the artificial intelligence system GPT-3 to produce this work.
What exactly does it mean when people refer to "deep fake autofiction"?
The use of deepfakes, a subset of machine learning techniques that employ AI to fake the appearance of famous actors and actresses in pornographic videos, has become an increasing problem in recent years. The concept of these "deep fakes" was developed in the context of machine learning. Something resembling deep-fake autofiction could serve as an example. In contrast to the conventional method of deep fakes, which entails superimposing the face of a famous person onto the body of another person, we create a completely computer-generated novel with no involvement from humans whatsoever.
We feed thousands of texts into our neural network so that it can learn and develop its own voice. Similar advice may have been given to you by your high school English teacher about finding your own voice. Thereafter, we feed it the fundamentals of famous novels like "The Great Gatsby" and "Hamlet," and then we release it.
Tom Cruise as Jay Gatsby, Emma Watson as Daisy Buchanan, and Jennifer Lawrence as Jordan Baker (because why not) engage in sexual encounters throughout the film, which has elements reminiscent of F. Scott Fitzgerald's The Great Gatsby.
I wouldn't say it's ready for prime time just yet because the characters are as stiff as a freshly pressed suit, but I do believe we're getting there. It's not quite ready to be shown off to the general public just yet. It is expected that all books will be written by machines in the not-too-distant future.
When compared to other popular fiction genres, how does it fare?
To this day, the definition of "deepfake autofiction” is still being debated. What does it entail, and how does it vary from the standard novel? Because if you read a lot of fiction, you may begin to recognise certain themes and motifs. The reason for this is that many things share similarities.
When a new form of storytelling emerges, whether in the theatre, on screen, in print, or in person, people immediately begin trying to pin it down. This holds true for live performances, movies, TV, and books. This is true whether we're discussing written works, moving pictures, or audio-visual mediums like theatre and television. Is there a precedent for this kind of thing? Isn't it like what's come before?
领英推荐
And I believe that in the case of deepfake autofiction, even though we know exactly what its DNA is because GPT-3 has been used to artificially generate it, we still don't really know yet what its relationship is going to be to other types of literature. Even though we have a thorough understanding of what its DNA entails, this remains the case despite the fact that it has been artificially generated using GPT-3.
This has led me to believe that we have entered a period in which people are forming their opinions about it. Is the prospect exciting for them? Do they still have concerns about it? What does the reader's intuition tell them after they've finished these stories and found out that AI was used to generate them instead of human writers? An analogous thing to that
Is it even plausible that something created by an algorithm could be considered "original"?
Does it matter that Amor Cringe was made by an algorithm? Does knowing that another person wrote the piece affect how we interpret it? The vast majority of readers who are also interested in literary studies believe that a novel written by a computer can be analysed and understood in the same way as one written by hand.
Allado-McDowell has complete say over what appears in her stories, so the most pressing concern is whether or not the viewer will detect any signs of human involvement. She claims that GPT-3 will never make its own creative decisions about the story's direction or characters; instead, she makes these choices herself in accordance with her own writing preferences and standards.
She opines that knowing these works' origins will cause viewers to interpret them differently than they otherwise would, but that this isn't necessarily a bad thing or a cause for alarm in and of itself. It does add some excitement to the situation, I'll admit that.
Where do we go from here with fabricated autobiographies?
Autofiction's "deep fake" subgenre is only now gaining scholarly respectability. There is a lot of untapped potential in this novel literary style, but there is also a lot to learn about the various subgenres, storylines, and content. Although GPT-3 (the neural network behind Amor Cringe) has given us a good foundation for AI that can write bestselling fiction, it is up to creators like K. Allado-McDowell to take it to the next level.
Is there a future for the subgenre of deep fake autofiction, and if so, what form might it take? And what else could we possibly hope for from the minds behind the creation of AI? We're dying to know the response to this inquiry.