Publish at June 01 2021 Updated November 24 2022
Hypertrucage (deepfake) applications work on a fairly simple principle: the mechanics of faces can be cut into transposable elements from one face to another. Once the proportion of the segments is established, one can proportionally adapt the characteristics of the original to those of the target.
The training of the artificial intelligence to manipulate millions of images does the rest; the more powerful it is, the more references it has, the higher its resolution becomes and the more realistic the whole becomes. Thus, from a simple photo, we can transpose and animate the image obtained by superimposing it on a digitized video, respecting the same proportions.
The playful applications of hypertrucage offered on the market are already amazing, other professional applications that use not only one photo of the target but several, taken under different shots, contexts and presenting several emotions, allow to realize almost perfect video sequences.
If replacing the face on a photo seems quite simple, doing it on a video is already much less so. The services offered propose to download a photo and transpose it onto generic photos or videos. Some even offer to transfer the elements onto others you provide and, if you are willing to pay, to do so in high resolution.
While video is one of the most effective means of promotion, being able to hijack the meaning of it fundamentally attacks the credibility one can bring to it. The result is a devaluation of trust in any digital production that is not validated or certified. We can already see a whole industry of certification via blockchains seizing the opportunity.
Another effect is the development of distrust towards "proof" brought on video or photo. We can predict the return in force of "live" demonstrations, without digital mediation.
Finally, the development of critical thinking and certification procedures also becomes imperative. For example, the degree of distrust can be modulated according to the amount of digital data accessible to an artificial intelligence: the more there is, the greater the possibilities of manipulation. It therefore becomes essential to be able to trace the source, hence the need for a blockchain that certifies unaltered provenance and ultimately engages the reputation of the issuer.
Here are some popular applications of hypertrucage. You can already appreciate the scope.
Hypertrucage applications
On blockchains - Thot Cursus
On developing critical thinking - Thot Cursus
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