- Nov 2022
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en.wikipedia.org en.wikipedia.org
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In late 2006, Eno released 77 Million Paintings, a program of generative video and music specifically for home computers. As its title suggests, there is a possible combination of 77 million paintings where the viewer will see different combinations of video slides prepared by Eno each time the program is launched. Likewise, the accompanying music is generated by the program so that it's almost certain the listener will never hear the same arrangement twice.
Brian Eno's experiments in generative music mirror some of the ideas of generative and experimental fiction which had been in the zeitgeist and developing for a while.
Certainly the fictional ideas were influential to the zeitgeist here, but the technology for doing these sorts of things in the musical realm lagged the ability to do them in the word realm.
We're just starting to see some of these sorts of experimental things in the film space and with artificial intelligence they're becoming much easier to do in all of these media spaces.
In some of the film spaces, they exist, but may tend to be short in nature, in part given the technology and processing power required.
see also: Deepfake TikTok of Keanu Reeves which I've recently run across (algorithmically) on Instagram: https://www.dailydot.com/debug/unreal-keanu-reeves-ai-deepfake/
Had anyone been working on generative art? Marcel Duchamp, et al? Some children's toys can mechanically create generative art which can be subtly modified by the children using axes of color, form, etc. Etch-a-sketch, kaleidoscopes, doodling robots (eg: https://www.amazon.com/4M-Doodling-Robot-Packaging-Vary/dp/B002EWWW9O).
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- Aug 2022
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metaphysic.ai metaphysic.ai
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To Uncover a Deepfake Video Call, Ask the Caller to Turn Sideways
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- Jul 2022
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www.hollywoodreporter.com www.hollywoodreporter.com
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Miles Fisher had it all: talent, charm and the face of a movie star. Problem was, it was a very specific movie star. After years of resenting the resemblance, Fisher embraced it through viral TikTok deepfakes that demonstrate AI’s astonishing power to deceive.
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- Aug 2019
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bookbook.pubpub.org bookbook.pubpub.org
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Both artists, through annotation, have produced new forms of public dialogue in response to other people (like Harvey Weinstein), texts (The New York Times), and ideas (sexual assault and racial bias) that are of broad social and political consequence.
What about examples of future sorts of annotations/redactions like these with emerging technologies? Stories about deepfakes (like Obama calling Trump a "dipshit" or the Youtube Channel Bad Lip Reading redubbing the words of Senator Ted Cruz) are becoming more prevalent and these are versions of this sort of redaction taken to greater lengths. At present, these examples are obviously fake and facetious, but in short order they will be indistinguishable and more commonplace.
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- Nov 2018
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www.niemanlab.org www.niemanlab.org
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As deepfakes make their way into social media, their spread will likely follow the same pattern as other fake news stories. In a MIT study investigating the diffusion of false content on Twitter published between 2006 and 2017, researchers found that “falsehood diffused significantly farther, faster, deeper, and more broadly than truth in all categories of information.” False stories were 70 percent more likely to be retweeted than the truth and reached 1,500 people six times more quickly than accurate articles.
This sort of research should make it eaiser to find and stamp out from the social media side of things. We need regulations to actually make it happen however.
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