Proof that the babel image archive and image search are fake

Home Forums Babel Image Archives Proof that the babel image archive and image search are fake

This topic contains 9 replies, has 2 voices, and was last updated by  TheSkeptic 1 day, 22 hours ago.

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  • #22244 Reply

    TheSkeptic

    You can prove it yourself, that this whole image archive thing is a hoax. Most probably you have looked into the universal slide show in hopes of finding something, but most probably too you found nothing. Just colorful pixels randomly scrambled. But no, what we want to find are images of stuff different than some random pixels. Well, the “image search” function makes you think that it is possible, somewhat possible, if it found that image of whatever archive you submitted then there is a possibility of finding something, right?

    Well, no.

    Ignoring the fact that it would be near impossible mathematically speaking to find a relevant image of something, it simply isn’t possible. Maybe I don’t understand how this works, most probably I don’t, but of what I get you have all possible arrays of pixels in that space with those colors, so you have every possible visual outcome. But the outcomes shouldn’t repeat; if there’s one image at x location, then that image should not show up at y location.

    And here’s where the proof comes into place. The proof is very simple. I started the universal slide show. I downloaded the slide that showed up and it was at some x location fewer than 20 digits. Then I searched for the image ( of the slide that I downloaded ) with the search function, the same image of the random pixels that showed up to me before, and boom. It found my image at y location, a location with tons of digits. But if it showed up to me at x location, why did you find it at y location? You can try it yourself.

    That’s why I believe, or I would say that I know, that this all is fake. It all just makes you believe that it actually has all possible images, and you can even search for the images. Nah, it’s more like an image uploader like imgur or something like that. It’s like a cheap magician, like Oz. It’s just a foolish trick.

    Thanks for reading.

    (This was written as of 10 / 10 / 2017, if you try to prove it yourself later, the dev might have “patched it up” already, so you can’t uncover the trick)

    #22245 Reply

    TheSkeptic

    I forgot to say that I actually tried several times and every time the same thing happened. So it wasn’t just a lucky attempt or an error or whatever.

    #22246 Reply

    Delengroth
    Participant

    @TheSkeptic
    “Maybe I don’t understand how this works”

    Somewhat, but you also overlooked something. You see, in order for the image you search for to be found, the Library has to convert it to only contain 4096 colors. However, I’m fairly certain that Jonathan’s script does this without checking if it already contains only 4096 colors. Try repeating your experiment, but with an extra step: Search for the image you found at location Y. You’ll see it’s now in a new location Z. This will keep happening, because each time you search for the newly-found image it slightly reduces the quality, producing a “needs more JPEG” effect.

    I tried the experiment myself, and sure enough, that’s what’s happening. I used the Mona Lisa:
    After 1 iteration: https://babelia.libraryofbabel.info/imagebookmark2.cgi?mona_lisa_quality_loss_1
    After 10 iterations: https://babelia.libraryofbabel.info/imagebookmark2.cgi?mona_lisa_quality_loss_10
    After 20 iterations: https://babelia.libraryofbabel.info/imagebookmark2.cgi?mona_lisa_quality_loss_20

    You can see the difference between 1 and 10 easily. Between 10 and 20 is a little more difficult, but there are some pixels that flicker around the inside curve of the road to the left of her right shoulder, as well as some in the mountains right above the road. Perhaps there’s a point where it tapers off, and the compression algorithm doesn’t reduce the quality anymore.

    #22250 Reply

    TheSkeptic

    Hmmm you’re right. I didn’t take into account that the jpeg effect might happen, that’s probably the reason of what’s happening here. However, I still think that this is kinda “fake”. Why for every image you search, it’s always in some huge digit location? does that mean that in the first 10^800.000 locations there’s nothing relevant? Just pure pixels? I would like to see some relevant image in some of the first I don’t know 10^100 locations or something like that to disprove the belief that all interesting images are in huge locations.

    Also, thanks for the input!

    #22254 Reply

    TheSkepticIsRight

    Obviously this site is a farce. Obviously. The “About” section claims this “archive” contains approximately 10^{961755} images: this is wildly impossible on its face. I am not saying that the computation of how many images there would be if you drew all of them having 416 columns and 640 columns with 4096 colors is not equal to 4096^{266240}: for each pixel we have 4096 choices of color; we do this 416×640 times– here I am assuming 416×640=266240 and 4096^{266240}~10^{961755} as claimed, I am not bothering to do the arithmetic.

    Instead the point is that this number, 10^{961755} is vastly too large. There are only about 10^(80) atoms in the observable universe (Google it). Even if we could encode each of these pictures on a single atom– which is impossible, at least based on our current understanding of the number of degrees of freedom of any single atom versus the number of bits requisite to specify such an image– this would only comprise about 10^{-961673} percent of the possible images. This is a .000…0001%, where “…” is 961677 zeros.

    Anyway, at best, the only thing this site could be doing is computing a function that assigns a unique number to each of the theoretically possible 416×640 images in 4096 colors. So when you input a image, it computes what number in the list it would be if the site had already stored every image, which it hasn’t. Though, @TheSkeptic’s test would seem to indicate that it’s not even doing that…

    #22268 Reply

    Delengroth
    Participant

    @TheSkepticIsRight

    I think you might have misinterpreted the About page. Yes, it says the library “contains” all combinations of those images, but it doesn’t actually store them. That would be impossible. It would be more accurate to say it contains the possibility to calculate them (which you described in your last paragraph). It’s not a farce, just math.

    #22433 Reply

    TheSkeptic

    For whoever read or will read this thread…

    I did the experiment I posted about first, but instead of some random image of colorful noise (susceptible to the “more jpeg” effect), I performed the experiment with an image of a small black square over a white background (if anyone wants to see the pic I can post it). The background was plain white, pixels the same color each, the square was pitch black, with every pixel inside the square the same color, and around the black square there were some white pixels but of a slightly different color than the background, really slight tone variation.

    The testing:

    So I uploaded the image. The location of this image was at 906…815.

    I downloaded this image (it “should” be the same image that the one I first uploaded).

    I uploaded the “new” image. The location was at 240…833.

    Hmmm, different location.

    Repeat the process; Download the image (240…833), upload it.

    Now it showed up at 128…709. Different location again.

    Repeat the process.

    Now it showed up at 128…709. Same location.

    I did this two more times. 128…709 both.

    The analysis

    The subject image was really low in pixel diversity (plain white, plain black, some rebellious pixels around the square), so the jpeg effect shouldn’t really happen, but it did (the locations changed instead of remaining the same). However, it did just for the first 3 iterations. After the third, the location remained the same; it took 3 iterations of the experiment for the image to “stabilize”.

    What most probably happened was that those rebellious pixels gave room for the jpeg effect to occur (although very little). Had the image been cleaner it would’ve not happened.

    I actually did the experiment with an image of white. Just white, plain white, and the location didn’t vary.

    The conclusion

    When performing the experiment, the images undergo a type of “needs more jpeg” effect, which is the reason of why the “same” image shows up at different locations.

    The “cleaner” the image, the less it takes until it stops changing locations because there is less room for jpeg effect to happen.

    The babel image archive and image search function are not fake (or have not been proved fake for the moment, and may or may not be fake, as proving either can be hard). The experiment that I claimed “proved” these to be “fake” didn’t take into account the flaw of the jpeg effect, which is what tampered with the results. The proof that I first posted is not valid and it has been debunked.

    May you try your luck into proving the site to be either a farce or not.
    May you keep using the site under the assumption of your choice.
    May you enjoy sinking your free time looking at colorful noise.
    May you enjoy sinking your free time trying to find a meaningful image in the void of infinity.

    Stay skeptic.

    #22435 Reply

    TheSkeptic

    Still, I have the question about why all meaningful images (found with the search function) are at locations around 10^1000000 characters long. Aren’t there any meaningful images before such huge locations?

    When you enter the slide show, it loads a random image at a location 16 characters long. It’s never any longer or any shorter.

    Are there any relevant images in the 10^16 range or are they all far away?

    That’s my big concern, and my big doubt about the authenticity of the image archive. I will try to do some testing in this area because I really want to find some cool image but if they are all in the million character realm… well… it would be hard. I hope someone joins the cause. Any experiment you think could prove this, or any proof you have would be appreciated.

    Thank you all

    #22456 Reply

    Micah

    The reason your searched pics are in the highest possible number of digits (almost one million) is because most of the pics are there. Around 99% of the images have that highest possible number of digits OR the second most amount of digits.

    #22458 Reply

    TheSkeptic

    That’s my problem. If 99% percent of meaningful images are there (1% is a lot don’t get fooled, I would say 99.9999999… of images though), then I most probably will never find any cool image, which is what I want (and many others too I think). I still most probably wouldn’t find any cool image if the meaningful images were distributed equally or something like that, but how they we assume they are distributed right now takes the probability from impossible to even more impossible.

    I really just want to find something. I’d be happy with something other than noise. Though I most likely won’t find anything.

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