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*Use cases:* Anti-plagiarism, text obfuscation against LLM scrapers, or just for fun!
Even just one word's worth of “gibberified” text is enough to block most LLMs from responding coherently.
Show HN: Stun LLMs with thousands of invisible Unicode characters
gibberifier.com
Kinda like the whole secret messages in resumes to tell the interviewer to hire them.
Can this bubble please just pop already? I miss the internet.
Also makes the output tedious to copy-paste, eg into an editor. Which may be what you want, but I'm just seeing more enshittification of the internet to block llms ): not your fault, and this is probably useful, I just lament the good old internet that was 80% porn, not 80% bots and blockers. Any site you go to these days has an obnoxious, slow-loading bot-detection interstitial - another mitigation necessary only be…
LLMs are doing damage to it now, but the true damage was already done by Instagram, Discord, and so on.
Creating open forums and public squares for discussion and healthy communities is fun and good for the internet, but it's not profitable.
Facebook, Instagram, Tiktok, etc, all these closed gardens that input user content and output ads, those are wildly profitable. Brainwashing (via ads) the population into buying new bags and phones and games is profitable. Creating communities is not.
Ads and modern social media killed the old internet.
Nice! But we already filter this stuff before pretraining.
Also makes the output tedious to copy-paste, eg into an editor. Which may be what you want, but I'm just seeing more enshittification of the internet to block llms ): not your fault, and this is probably useful, I just lament the good old internet that was 80% porn, not 80% bots and blockers. Any site you go to these days has an obnoxious, slow-loading bot-detection interstitial - another mitigation necessary only be…
> text obfuscation against LLM scrapers Nice! But we already filter this stuff before pretraining.
Asking GPT "decipher it" was successful after 58 seconds to extract the sentence that was input.