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How do you tell if a friend is fake or not?

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Top definition. Fake people. Fake people are people who will act like your friend but the truth is that they are back stabbers they will talk behind your back and say the rudest things about you.

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There are now businesses that sell fake people. On the website Generated. If you just need a couple of fake people — for characters in a video game, or to make your company website appear more diverse — you can get their photos for free on ThisPersonDoesNotExist. Adjust their likeness as needed; make them old or young or the ethnicity of your choosing.

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If you want your fake person animated, a company called Rosebud. AI can do that and can even make them talk.

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These simulated people are starting to show up around the internet, used as masks by real people with nefarious intent: spies who don an attractive face in an effort to infiltrate the intelligence community; right-wing propagandists who hide behind fake profiles, photo and all; online harassers who troll their targets with a friendly visage. The A. Choosing different values — like those that determine the size and shape of eyes — can alter the whole image.

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For other qualities, our system used a different approach. Instead of shifting values that determine specific parts of the image, the system first generated two images to establish starting and end points for all of the values, and then created images in between.

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The creation of these types of fake images only became possible in recent years thanks to a new type of artificial intelligence called a generative adversarial network. In essence, you feed a computer program a bunch of photos of real people.

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It studies them and tries to come up with its own photos of people, while another part of the system tries to detect which of those photos are fake. The back-and-forth makes the end product ever more indistinguishable from the real thing.

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The portraits in this story were created by The Times using GAN software that was made publicly available by the computer graphics company Nvidia. Detection will only get harder over time.

1) fake people make plans they don’t keep.

Advances in facial fakery have been made possible in part because technology has become so much better at identifying key facial features. You can use your face to unlock your smartphone, or tell your photo software to sort through your thousands of pictures and show you only those of your. Facial recognition programs are used by law enforcement to identify and arrest criminal suspects and also by some activists to reveal the identities of police officers who cover their name tags in an attempt to remain anonymous.

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A company called Clearview AI scraped the web of billions of public photos — casually shared online by everyday users — to create an app capable of recognizing a stranger from just one photo. But facial-recognition algorithms, like other A. Thanks to underlying bias in the data used to train them, some of these systems are not as good, for instance, at recognizing people of color.

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Moreover, cameras — the eyes of facial-recognition systems — are not as good at capturing people with dark skin; that unfortunate standard dates to the early days of film development, when photos were calibrated to best show the faces of light-skinned people. The consequences can be severe.

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In January, a Black man in Detroit named Robert Williams was arrested for a crime he did not commit because of an incorrect facial-recognition match. Artificial intelligence can make our lives easier, but ultimately it is as flawed as we are, because we are behind all of it.

2) fake people are only around when it’s convenient for them.

Humans choose how A. We choose the voices that teach virtual assistants to hear, leading these systems not to understand people with accents. GANs typically train on real photographs that have been centered, scaled and cropped. But as a result, it can produce deep indentations in one ear that may not be present in the other. Humans err, of course: We overlook or glaze past the flaws in these systems, all too quick to trust that computers are hyper-rational, objective, always right.

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Studies have shown that, in situations where humans and computers must cooperate to make a decision — to identify fingerprints or human faces — people consistently made the wrong identification when a computer nudged them to do so. Is this humility or hubris? Do we place too little value in human intelligence — or do we overrate it, assuming we are so smart that we can create things smarter still?

With self-driving features in cars, we are putting our safety in the hands and eyes of software. We place a lot of trust in these systems, but they can be as fallible as us.

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Antibodies Good. Machine-Made Molecules Better?

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They look stunningly real at first glance. But they do not exist.

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They were born from the mind of a computer. And the technology that makes them is improving at a startling pace. Fashion accessories can cause problems. Earrings, for example, might look similar but often may not exactly match. As a result, each eye may be the same distance from the center.

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Glasses are common accessories in many of the fake pictures. They tend to have thin frames, with end pieces that may not match.

Then there are odder artifacts that can appear out of nowhere. Abstract or blurry backgrounds are often giveaways.