Probably more. Just search for 'x' in a name register and filter the normal ones like Alex.
ChaoticNeutralCzech
I never mentioned ChatGPT. A generative pre-trained transformer is a glorified text/data prediction engine technology, not neccessarily in a chat context. It existed before OpenAI made GPT-1, 2, 3 etc. and later used it with their LLM to create a popular service. ChatGPT would not work because you cannot access its output nodes as a user.
Yeah, (O)OP is such a rookie they probably call it Homework
, which is a well-known trick. The correct stealth strategy is a directory called linux_malware_test_vm_imgs
containing archives such as
clamav_analysis_cumulative.tar
CVE-2022-4907_ffmpeg_backdoor.tar
CVE-2024-3094_xz_backdoor.tar
CVE-2024–2961_php_24yo_chinese_string_insertion.tar
gimp_2022-11-01_trojan.tar
löve2d_hump_bundle.tar
löve2d_pölygamy_crash.tar
löve2d_yaoui.tar
malwarebytes_tarball_anal.tar
qt_vuln_sql_6.3.0.tar
tcp_heading_segment_length_handling_overflow.tar
Yes, this would work but I doubt there is a pretrained model for predicting capitalization in existing text. Maybe you could get raw token values from some LLM's generative pre-trained transformer (GPT) and only pick one that corresponds to the actually following text sans capitalization. (Basically not asking it "what character will probably come next" but "is 'b' or 'B' more likely to be the next character"?) Doing it for just this text does not make sense, I'd rather use a rule-based sentence case (many text editors can do this) plus selective capitalization with a keyboard shortcut.
Birth of a copypasta. Too bad the all-caps make it hard to read. Care to edit into mixed case?
I know PDF providers who visibly print the customer's name or number in the header of every page, along with short copyright text. I use qpdf --stream-decompress
to make the PDF into human-readable PostScript, and then Python+regex to remove each header text, which stand out a bit from other PDF elements. The script throws an error if more or fewer elements than pages have been removed but that hasn't happened yet. Processed documents sometimes have screwed-up non-ASCII characters in the Table of Contents for some reason but I don't have the originas anymore so IDK if it's my fault. Still, I wouldn't share the PDFs unless in text-only or printed form because of any other steganographic shenanigans in the file. I would absolutely torrent them if I could repurchase them under a new identity and verify that the files are identical.
BTW, has anyone figured out how to embed Python code in PDF? The whitespace always gets reencoded as x-coordinates so copy&pasting it never preserves indentation. No, you can't use the Ogham Space Mark (Unicode's only non-blank character classified as a space) for indentation in Python, I tried.
Yes. Technically, a similar vote could repeal the law just as easily but there is a history of governments not giving their power away easily; implementing it also sets a precedent and creates technical enforcement options for other governments willing to go through with something similar in the future, or for hackers to exploit because gov-rooted devices will remain in operation for years after the potential repeal.
Meta is self-reference, not just any reference
Achievement Unlocked: Martyrdom |
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I'm not an expert but probably because it's Dutch