How about going back in time with the push of a button and taking a look at who you were a few years ago? This is what the new version promises TikTok rejuvenation filter using artificial intelligence (AI) to turn adults into teenagers has gone viral this week.
A face swapping technology The short video application, which has been used by millions of people around the world with the tag, is already among the biggest trends. #youngfilter. And according to reviews, the tool has proven effective, allowing people aged 40 and over to remember what their face looked like decades ago.
In the tweet below by user @memotv on Thursday (23), it’s possible to see a few examples of the effect and people’s reactions when they see the transformation. Many also took the opportunity to put in background music that referenced the era remembered from technology.
ICYMI on Tiktok AI hits hard on genx.
I’ve always said with AI, expect the unexpected, the future will be stranger than anyone can imagine. Skynet is the last thing to worry about.
this is real #aiart #AIArtCommunity pic.twitter.com/FlwUrftR6o— memo akten ( @memotv@mastodon.social ) (@memotv) February 23, 2023
Anyone who is curious about what their face looked like in the 2000s, 1990s or before can test this function. To do this, open the TikTok app, tap “Effects” on the left side of the screen or “Filters” on the right, select the rejuvenation option and hit the recording screen.
Technology divides opinions
Many users were satisfied and touched by the result of the simulation reminiscent of puberty performed on the social network. Some people also took advantage of this effect to compare themselves to their children and grandchildren, noticing great similarities.
However, there were also those who were disturbed by this situation. impressive ability to create realistic images of the vehicle, as you can see in the comments. For these people, there is a possibility that AI will be used in negative ways, for example by facilitating fraud and harassment practices on the social network.
Others recalled the similarity with the deepfake technique, emphasizing the risks the technology could pose if not used well.
Source: Tec Mundo

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