I have learned to do many things

Any and everything that pertains to my interests. southerner in a town with a northern culture. Guns, puppies, food, and anything else i want. Married to the love of my life. I like doing things myself, such as fixing cars, guns, and building stuff. don't see a point in paying someone to do something i could do myself and learn a new skill along the way. feel free to ask me anything. or send me pictures of your guns and dogs.

[librablossom]

[boatgrave-deactivated20250901]

[mysteryteacup]

*Scrolls past*

*reluctant sigh*

*scrolls back up*

*rebogs*

[theoddrods]

Crown Vic- Baja edition.

[stupittmoran]

These moms should have been aborted Why are they on the internet? Shouldn't they be writing their posts on paper with a feather 😂

Tell me you know nothing about the Constitution without telling me you know nothing about the Constitution.

[john-wick-ll]

First off, the rifle pictured has hand gaurds and a bayonet lug, making it a military rifle. AKA, weapon of war. This brings the second point, which is the 2nd Amendment, doesn't mention hunting! Those moms should stay in the kitchen where they belong because the Constitution is clearly beyond their grasp. ✌🏾

[the-davest-of-uncles]

As it turns out, Moms Demand Action is not a dating site.

[riflebrass]

You sure about that? I know you've been out of the dating scene for a few decades but the loudest and most entitled moms are usually single moms lol.

[riflebrass]

Also going back to the OP that's not a real MDA post. Shortly after the organization was founded /k/ made a bunch of these fake posts and over a decade later people are still falling for it lol.

[bigredm38-6]

That sounds more like it.

[basedhighsenberg]

[molabuddy]

recently when im tempted to say 'i'm gonna kill myself' i try to correct it into saying "im gonna walk into the river and become a trout" or some other form of that. this is my new thing

[molabuddy]

btw this has graduated into me just saying "the trout population will be affected" and then not elaborating

[skippyisntfunny]

[wholeheartedsuggestions]

here’s your sign to do something spontaneous

[bread-pat]

*combusts*

[wholeheartedsuggestions]

that’s one way to do it

[sillyman-justgoofy]

my kings helping to keep the threat away

[darkmaga-retard]

[beardedmrbean]

[huntingblood]

[blackleatherbag]

[maplesynth]

so i spent far too long on this.

for those unaware, the spaghetti wall of letters and numbers is a base64-encoded JPEG image (and not a URL as some guessed). in certain cases when you tried to insert/paste an image into what’s ostensibly a text-only box, this could happen.

the thing that’s bugging me however is that there’s image data there. we have fairly a clear (albeit with JPEG artifacts) screenshot of text that, thanks to how Windows ClearType renders text, each character is identical to each other, that is to say, an uppercase Q will always look more or less pixel-perfect each time, meaning we don’t have to guess what a Q looks like, we simply have to pixel-accurate match it.

as an aside, this is why regular OCR struggles so much with this kind of data retrieval, such as code even when it’s clearer than a physical paper scan. ordinarily, OCR will try to best-guess every single letter because it expects each letter to be slightly different from each other (as would be the unpredictable nature in a scanned document), and on top of that most OCR today will try to autocorrect because it expects the scanned text to contain words in some human written language.

so, all we have to do is make a program to recognize each character and piece back together the whole base64 string, right? well…

first i stitched all 7 images back into a single block of text, observing the consistency of the line spacing. some of the screenshots have little bits of the previous one sticking out of it, which helps with alignment and to make sure they’re in the right order.

after that i had to sample every single letter off this file. this means going around the file and finding one example of each different character we’re trying to identify, saving it as its own separate file so that the program can load them as references to compare against in the full image. for base64, the alphabet consists of a-z, A-Z, 0-9, +, / and =. once i had the initial code in place…

…close! but oh so far. if any one single character in a base64 string is wrong or missing, the resulting decode will be wrong. the issues i was having were mostly with the lowercase r and j because of how the kerning affected the pixels around those letters. i was also getting false matches for r where there should be an m. what followed was grueling hours of tweaking the matching code and my known font set to better fit the original image and get as close as possible to a 100% match. here is the resulting code, maybe it’ll be useful for someone and this won’t have been a complete waste of time.

once i was confident through the verification image that i had all characters recognized, i put it through a base64 to JPEG decoder. i actually did this several times as i improved the recognition and what follows is the best result that came out of it yet. i suspect some of the data might be missing (perhaps a line or block of text got lost in between screenshots), or i have a wrong character somewhere resulting in a wrong value. this is the image extracted from OP’s base64 string:

we can finally know what they meant when they said “me in a relationship” and i can finally go the fuck to sleep.

[maplesynth]

update: i found that the string that i used to decode the image in the previous reblog actually had one letter wrong.

with this it still doesn’t parse as fully valid base64 in strict mode so i think there’s still another letter in there that’s wrong, but i couldn’t find it. however this gives us a better look:

and this is finally enough to do a reverse image search. i present to you, the HD version of our intrepid massive backpacker:

still have no idea what they mean by “me in a relationship” with that, though.

[almost-correct-quotes]

#they have baggage

[nymphfrill]

[burgrsstuff]

JF

[wizard316]

[frenchcurious]

Toyota FJ43. - source Moto Vitelloni - Wheels n' wings.