The creation of dipfake porn is even more active because it is easier to monetize. Analysts say that by the end of 2023, more dipface porn will be published on porn tubes than in all previous years combined. Users can substitute the face in the video with any face, but the most common ones used for this purpose are the faces of popular actresses from movies and TV series, such as Emma Watson and Emilia Clarke
Almost any video can be monetized in this way, as a famous and coveted face by the audience will give it popularity.
Despite the demand and popularity of dipfake porn, it will never be able to match the popularity of the real thing. Firstly, neural networks cannot fully plausibly convey the full range of emotions that often play a key role when watching porn. Secondly, we shouldn't forget about the uncanny valley effect that scares people away.
The uncanny valley effect
The uncanny valley effect manifests itself in disgust and intense dislike towards creatures that look and act like humans, but are not. The moment a person sees the discrepancy between the generated girl and the real one, they will begin to feel frustration. For example, this Pornpen.AI generated girl looks nice, but after you pay attention to her fingers, you will immediately feel an unpleasant sensation:
It's the same with this group of girls who seem sexy. If you look at the head of the third of them, that feeling will quickly go away:
Of course, in the future we can expect generative porn images to be perfect. Plus, you can already use Photoshop to remove oddities and imperfections, but whether neural networks will ever take over porn with real actresses is a big question.
Nevertheless, generative porn can already make money. There are many ways of monetization: earning for views on PornHub, advertising in communities where such content is published and direct creation of neural networks. There are other options that can hardly be called legal, such as creating a fake model on OnlyFans.
Almost any video can be monetized in this way, as a famous and coveted face by the audience will give it popularity.
Despite the demand and popularity of dipfake porn, it will never be able to match the popularity of the real thing. Firstly, neural networks cannot fully plausibly convey the full range of emotions that often play a key role when watching porn. Secondly, we shouldn't forget about the uncanny valley effect that scares people away.
The uncanny valley effect
The uncanny valley effect manifests itself in disgust and intense dislike towards creatures that look and act like humans, but are not. The moment a person sees the discrepancy between the generated girl and the real one, they will begin to feel frustration. For example, this Pornpen.AI generated girl looks nice, but after you pay attention to her fingers, you will immediately feel an unpleasant sensation:
It's the same with this group of girls who seem sexy. If you look at the head of the third of them, that feeling will quickly go away:
Of course, in the future we can expect generative porn images to be perfect. Plus, you can already use Photoshop to remove oddities and imperfections, but whether neural networks will ever take over porn with real actresses is a big question.
Nevertheless, generative porn can already make money. There are many ways of monetization: earning for views on PornHub, advertising in communities where such content is published and direct creation of neural networks. There are other options that can hardly be called legal, such as creating a fake model on OnlyFans.