panpan2

3 ms·

1. 1.▲
   Show HN: A Wordle implementation in pure SQL(github.com)

   4 points by panpan2 1y ago|0 comments
2. 2.▲
   by panpan2 2y ago

   Thanks for catching this, changed to "hyphen". > And while AI watermarking and fingerprinting is real, using typographically-correct Unicode instead of base ASCII isn't really it (though I guess anything that transforms te
3. 3.▲
   by panpan2 2y ago

   Just try it :) I’ve definitely come across random variation selectors now and then. Otherwise, the most common case is typography: like em-dashes instead of hyphens, curly apostrophes, etc. But if you're feeding LLM output into a sear
4. 4.▲
   by panpan2 2y ago

   That's right! The same goes for en-dashes, em-dashes, and some other punctuation. While these aren’t ASCII, you can enable them with `--allow-chars` if you want to keep them. I imagine the average person doesn't know when to use w
5. 5.▲
   by panpan2 2y ago

   Another viewpoint is that it's about privacy (e.g., unwanted tracking) and security (e.g., homograph attacks). As LLMs are increasingly used everywhere, this provides a way to normalize text as it moves between different systems.
6. 6.▲
   Sanitext – Remove LLM-Generated Text Fingerprints(panispani.com)

   14 points by panpan2 2y ago|11 comments