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AI asked to create images of “last selfies ever taken” delivers nightmarish results | Pro Club Bd

Apocalypse Influencers! The AI ​​is asked to “think” what the last SELFIE ever taken on Earth would look like and proceeds to produce nightmarish images

  • DALL-E AI, developed by OpenAI, is a new system that can generate complete images when fed natural language descriptions
  • A TikTok user asked the AI ​​to show what he thinks the last selfies will be
  • It produced terrifying scenes of falling bombs and cataclysmic weather, along with burning cities and even zombies
  • Each image shows a person holding a phone in front of their face and the world is ending behind them

People taking photos of themselves with melting skin, blood-smeared faces, and mutated bodies as they face a burning world are the last selfies that will be taken at the end of times, according to DALL-E-KI.

DALL-E AI, developed by OpenAI, is a new system that can generate full images when fed natural language descriptions, and TikToker Robot Overlords simply asked it to “show the last selfie ever taken”.

The nightmarish results each show a human holding a phone and behind them are scenes of falling bombs, colossal tornadoes and burning cities, along with zombies standing in the midst of destruction.

One of the selfies is an animated image of a man wearing what appears to be combat gear. He slowly moves his head around with a look as if his life is flashing before his eyes as bombs fall from the sky around him.

Each of the videos has been viewed hundreds of thousands of times, with users commenting on how horrific each selfie is – one user felt the images would keep them up at night because they were so terrifying.

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A TikTok user asked DALLE-AI to create images of what they believe to be the last selfies ever taken. One of the images shows a man in riot gear watching in horror as bombs fall behind him

Other users joked about taking a selfie at the end of time, with one commenting, “But first, let me take a selfie” (if nobody gets that reference, I’ll cry).

TikTok user Nessa shared, “and my boss would still ask if I came to work.”

However, not everyone was happy about what the end of time would be like.

The user, named Victeur, shared: “Imagine hiding for the war in the dark, haven’t seen your face for years and see this when you take one last picture of yourself.”

DALLE-AI is a system that can create images by a person entering specific descriptions.  This result shows a terrified man who might run behind him from the devastation

DALLE-AI is a system that can create images by a person entering specific descriptions. This result shows a terrified man who might run behind him from the devastation

The last selfies also show people with blood-smeared faces and burning cities

The last selfies also show people with blood-smeared faces and burning cities

Most commenters see the funny side of the images, but a dark side has been revealed about DALL-E – his racial and gender bias.

The system is public, and when OpenAI launched the second version of the AI, it encouraged people to enter descriptions so the AI ​​could improve the generation of images over time, NBC News reports.

However, people began to notice that the images were biased. For example, when a user typed CEO, DALL-E produced only images of white males, and for “flight attendant” only images of women were presented.

OpenAI announced last week that it was introducing new mitigation techniques to help DALL-E create more diverse images, and claims the update ensures users are 12x more likely to see images with more diverse people

The nightmarish images showing zombies in front of burning cities were created by DALL-E AI

The nightmarish images showing zombies in front of burning cities were created by DALL-E AI

Some of the disturbing selfies also look like a zombie with missing eyes and skin

Some of the disturbing selfies also look like a zombie with missing eyes and skin

The images are so terrifying that some TikTok users said they will have nightmares now after seeing them

The images are so terrifying that some TikTok users said they will have nightmares now after seeing them

The original version of DALL-E, named after Spanish surrealist artist Salvador Dali, and the Pixar robot WALL-E, was released in January 2021 as a limited test of how AI can be used to represent concepts – from boring descriptions to flights of fancy.

Early artwork created by the AI ​​included a mannequin in a flannel shirt, an illustration of a radish walking a dog, and a baby penguin emoji.

Examples of phrases used in the second release to create realistic imagery are “an astronaut riding a horse in a photorealistic style”.

On the DALL-E 2 website, this can be customized to create images “on the fly”, including replacing astronaut with teddy bear, playing horse with basketball, and rendering as pencil drawing or “pop art” in the style of Andy Warhol’ painting.

DALL·E 2 learned the relationship between images and the text used to describe them,” OpenAI explained.

“It uses a process called ‘diffusion’ that starts with a pattern of random dots and gradually changes that pattern towards an image as it recognizes certain aspects of that image.”

HOW ARTIFICIAL INTELLIGENCE LEARNS WITH NEURAL NETWORKS

AI systems rely on artificial neural networks (ANNs) that try to simulate how the brain works in order to learn.

ANNs can be trained to recognize patterns in information – including speech, text data or visual images – and are the basis for a variety of developments in AI in recent years.

Traditional AI uses inputs to “teach” an algorithm about a certain topic by feeding it huge amounts of information.

AI systems rely on artificial neural networks (ANNs) that try to simulate how the brain works in order to learn.  ANNs can be trained to recognize patterns in information—including speech, text data, or visual images

AI systems rely on artificial neural networks (ANNs) that try to simulate how the brain works in order to learn. ANNs can be trained to recognize patterns in information—including speech, text data, or visual images

Practical applications include Google’s language translation services, Facebook’s facial recognition software, and Snapchat’s image-altering live filters.

Entering this data can be very time consuming and limited to one type of knowledge.

A new generation of ANNs called Adversarial Neural Networks pit the minds of two AI bots against each other, allowing them to learn from each other.

This approach aims to speed up the learning process and refine the output generated by AI systems.

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