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submitted 2 months ago* (last edited 2 months ago) by [email protected] to c/[email protected]

Hey koavf, I hope this is OK to post here! Let me know if you'd like me to take it down

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[-] [email protected] 6 points 2 months ago

If you force your brain enough, you can ignore them and see the pixelated mess behind.

[-] [email protected] 2 points 2 months ago

I can easily see it's black and white when the image is expanded, but with the smaller non-expanded version of the image, my brain just refuses to interpret it as anything other then red.

[-] [email protected] 5 points 2 months ago
[-] [email protected] 3 points 2 months ago

It's clearly saying "Yanny".

[-] [email protected] 2 points 2 months ago

listen again it says brainstorm

[-] [email protected] 4 points 2 months ago

That's pink

[-] [email protected] 4 points 2 months ago

Finally a good idea for a captcha ai could not guess ... ๐Ÿ˜‰๐Ÿ‘๐Ÿป

[-] [email protected] 3 points 2 months ago

well, it's rather the opposite - AI is vulnerable to these kinds of tricks, you can inject some patterns into images to make the AI perceive the image in a completely different way, humans are in fact much less susceptible to this, at least for now

[-] [email protected] 1 points 2 months ago

So how does ai exactly knows which color is the picture... I always thought that by analysing the binary it is possible to recognize previous learned sequences for predetermined colors and as such answer the question... In this example there's no sequence for red for example...

[-] [email protected] 1 points 2 months ago

AI basically recognizes patterns and returns a likely output based on the patterns it found. It doesn't check "this is a red pixel, so this is red", it checks "this pattern is usually red, so this is red".

[-] [email protected] 1 points 2 months ago

And what about shapes that doesn't have a default colour? For example an apple ? Red green yellow ? Or a bold number

[-] [email protected] 1 points 2 months ago

It will come up with an answer at random or have bias based on the training data or one based on random chance.

[-] [email protected] 4 points 2 months ago

Is it arranged in such a way that gives the illusion of red, or do we mentally fill in the blanks because we already know what colour a coke can is supposed to be?

[-] [email protected] 2 points 2 months ago

it's the pixels.

[-] [email protected] 1 points 2 months ago
[-] [email protected] 2 points 2 months ago

So yes is answering the first question or the second question?

[-] [email protected] 1 points 2 months ago

Yes.

But more seriously, I don't know. At first, I thought it was the first one, if only because of the choice of magenta as a "counter color." But then, when I partially cover the can, I no longer perceive the uncovered part as red. So, I don't know.

[-] [email protected] 2 points 2 months ago

Zoomed in, some of the pixels do appear pinkish. Has anyone checked the rgb values to verify that there's no red shade at all?

[-] [email protected] 1 points 2 months ago

My brain is a bad employee, always taking lazy shortcuts. No one wants to work anymore smdh

[-] [email protected] 1 points 2 months ago

my brain

That is, you.

this post was submitted on 03 Jul 2024
55 points (89.9% liked)

Color

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Color theory, palettes, fun uses of color, psychology, etc.

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