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They see your photos

https://theyseeyourphotos.com/
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i gave it a picture of making some meatballs, and it didnt capture the interesting parts.

a) it didnt catch that they were made of ground pork and not beef b) it didnt realize that the inconsistent browning and look of the fat was from butter browing the breadcrumbs and flour c) it didnt realize that the surrounding on the pan was bits of browned meat that fell off while rolling, instead claiming it was garlic or herbs d) it didnt spot that one had fallen apart a little bit e) it didnt get that i took the picture because i thought i rolled them too big f) it made up a counter, when only the cast iron pan was visible

with a different picture, it couldnt figure out what my makeshift Halloween costume was, despite it having been a pretty obvious squid games character.

it seems like it can see whats in the picture mechanically, but it can't see what the picture is of. whats the point of all this ai photo stuff if i cant give it a picture of a cake and have it tell me to turn down my oven a couple degrees next time?

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These are the obvious things they can see in the photos. Not shown are the various assumptions they'll make about you based on your photos such as: gay, likely uneducated, high income earner, most likely republican, narcissistic, etc.

Also not shown is what they'll learn by the totality of the data they collect from your pictures such as how often you go on vacation, how often you're seen in new clothing and what kinds of clothes you typically wear, your health, what types of foods you eat, social graphs of everyone you're seen with and changes to your relationship status over time, how often you consume drugs/alcohol, your general level of cleanliness and personal hygiene, etc.

Even a handful of photos can give companies like Google, Apple, and Amazon massive amounts of very personal data but nobody thinks about that when they pull out their phones to take pictures or install a ring camera on their front door.

Do you do any ML for Big Tech? Because it's actually a lot simpler than that: the input is the sum total of your activity, and the output is the likelihood that you'll click on an ad or buy a product on a specific surface. You certainly can predict demographic information like sexual orientation, education level, income, political party, and with a fair degree of accuracy, but all it does is add noise to the calculation you really want, which is optimizing the amount of money you'll make. To the extent that demographics are computed, it's to make advertisers feel better about themselves. They would almost always be better off with a blanket "optimize my sales" campaign, but it's hard for ad agencies and digital marketers to justify their existence that way.
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> and the output is the likelihood that you'll click on an ad or buy a product on a specific surface.

Surveillance capitalism isn't really about ads. Increasingly that data is being used to impact your life offline. It influences how much companies charge you for their products and services. It determines what version of their policies companies will inform you of and hold you to. It determines very big things like whether or not you get a job offer or a rental agreement, but it's also being used to determine even small things like how long a company keeps you on hold when you call them. It's being used to make people suspects for crimes. It's being used against people in criminal trials and custody battles. It informs decisions on whether or not your health insurer covers your medical treatments. Activists and extremists use it to target and harass people they perceive as being their enemies.

The data you hand over to companies is being used to build dossiers stuffed with inaccuracies and assumptions that will be used against you in countless ways yet you aren't even allowed to know who has it, what they're using it for, when they use it, or who they share it with.

Nobody really cares about what ads they get shown when they use the internet so companies like to pretend that that's what their data collection is all about, and they absolutely do use it for marketing, but the truth is that digital marketing is a smokescreen for everything else that your data is being used for and will later be used for.

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I like how the last paragraph completely oversells my photographing skills. The picture was not meant to be unique. It seems to always end with such a paragraph, even for dumb photos of nothing really.

“The photo's perspective is unique; it is taken from a very low angle, creating an unusual, almost childlike point of view. Another detail is that the photographer seems to have excellent timing as they captured the hand gesture at this precise moment. The lighting in the photo indicates it was taken during daytime, with the sun illuminating the scene beautifully. The contrast between the modern architecture of the building and the traditional costumes adds a rich cultural element to the photograph.”

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If AI writing had a smell, this tool would smell as bad as a monkey chopping onions. They somehow spun 4 paragraphs out of a group vacation photo. Impressive on paper, yet half of the description was painfully obvious:

>The image shows a lively nighttime scene, possibly a parade or street festival. In the foreground, a group of people wearing elaborate, colorful hats and red shirts are prominently featured. The background includes brightly lit storefronts, one of which appears to be a pizza place, suggesting a bustling urban or suburban setting. The overall atmosphere is festive and energetic. There are also some indistinct shapes in the background that might be more people or decorations, but they are not clearly visible.

...

Several details are harder to make out at first glance. The hats themselves are quite elaborate and appear to be custom-made or part of a themed event, hinting at a possible local cultural or community celebration. There's a subtle variation in the lighting across the scene, indicating either the illumination from different sources (streetlights and storefront signs) or the varying distances of people from the camera. The signs in the background suggest a location, potentially in a town with a commercial district.

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