Consume Product

I made a comment on the Hitler's speech video in reply to someone. It was relatively timid, but I bet the algorithm interpreted it as dissidence. It's also likely that my account is already flagged for continuous algorithmic checks, because I had these popup messages about how my conduct was oh-so boo-boo.

And I was simply bringing truth and logic into arguments. I don't even name the jew and avoid using keywords.

So anyway, the next step is to change the letters so that they are only humanly readable.

Well, to generate those is much easier than parsing words. You just enter text as input, and the output has all letters randomly replaced as specified.

It's possible to parse it though, but you'd need to list all variations of all letters, replace them with "normal" letters, check the words (also considering word distance), and then you have it. I could easily implement such an algorithm into the web-server. It's quite simple actually. All you need to do is to run such algorithms on all new accounts (aka haven't been used much).

While for small scale usage it requires negligible computing, for something on the scale of YouTube it would multiply the necessary computing by 50-100 or more. And I think they already use mechanisms to have users flagged for having their comments be read by AI (like me).

Currently you just need to do iterations for 52 characters (a-z, A-Z) until you get a word which you can check for a blacklist. But with a tool it could be 20 per character, so 1040 characters to check. Multiply this with the amount of other languages, as they'd need to check for words in a lot of languages, which may contain varying characters. And they must use a levenshtein-damerau algorithm to also check for the amount of characters deviating or swapped. I bet for "nigger" they use a value of 2 or even 3. Meaning "nibber", "migger", "nigg", "n1gg5r" would still be considered to be the word "nigger." For "faggot" maybe 1-2. For other words 0-1.

If they run text AIs, they'd need to parse ALL the text and can't optimize by cutting off checking words (aka a word can no longer match any of their blacklisted words including the levenshtein-damerau distance).

you can be create without resorting to copy and paste

although many of the exploits already been patched

for example prior to 2022 i could say NIGGER by simplying typing NlGGER replacing the i with an l

unfortunately jewtube caughts on a lot of the things because the jews use an A.I algorithm to flag goyim (while their pajeets programmers are busy scamming old women and recommending you pajeet content)

I'll work it out and create a usable tool out of it which I'll use myself. Also make the result more readable and adjustable. It may be important to make it more subtle, as to avoid drawing attention, but still screw with parsing algorithms. A, E, I, O for example have a Greek letter as an equivalent that look identical. To compare (as UTF-8):

"NIGGERS" has these bytes: 78, 73, 71, 71, 69, 82, 83

"NΙGGΕRS" has these bytes: 78, 206, 153, 71, 71, 206, 149, 82, 83

Visually they look identical. But for a computer E != Ε. It won't know what the latter version means. If there are letters to cancel spaces, it won't even be able to identify distinct words.

"NΙGGΕRFΑGGΟTKΙKΕ? What a peculiar word!"

You can do a lot of these mods to any latin character through alt/gr, shift, <random-mod-key> then any of the 26 latin characters.

ê ẅ ý ù û

Or get a viking keyboard, which is very similar to the English qwerty keyboard but a bigger Enter key, which of course replaces a and o with a surprised a or retarded a, or a redneck o and these symbols available using only 3 buttons and mod keys:

ø æ å ä ö Ø Æ Å Ö Ä

Or just use similar words from latin compatible languages that is similar enough for any English speaking person to understand, you can probably guess what neger or jøde means.

Turns out, just like the bugmen who apparently use one symbol for each word, we do that too with latin. After combining latin characters into words we don't read the whole word, we only read first and last character and then guess the word. So all different types of spelling errors is valid too and impossible to detect by the filter.

Technically yes, but they'd just need something to convert it into "real text" and then feed it into the LLM.

Probably yes. It has to be tested.

Ah, that's cool and useful. Bookmarking it doesn't work though, in Firefox it opens a new tab with your website, and doesn't catch the selected text.

You are right, and that's quite weird... but it doesn't seem to work in the newer version from [here](https://communities.win/c/ConsumeProduct/p/17txaZTuka/character-obfuscator-application/c/4ZDsVLj6uln?d=50).

I tried to find some words, but it failed for all of them. So you got me worried for a moment there. Good to know it's better to read, and also works better as well.

Literally what the whole post is about.

No. AI recognizing words and replicating them **as pictures** is something they struggle with. They parse words as words, not as pictures.