I'm always intrigued by the German FE-Schrift ("fälschungserschwerende Schrift", "more-difficult-to-forge font") chooses shapes for characters that makes it hard for them to be turned into one another (like a 3 into an 8 or so):
Also, I remember 8x16 VGA font that came with KeyRus had some slight differences between Cyrillic and Latin lookalikes, that brought some strange sense of comfort when reading, and especially typing the letter c, because its Cyrillic lookalike is located on the same key.
that is very interesting.
I imagine the browser could take some context clues and switch rendering to puny code if the locale of the user is nowhere near a cyrillic region. But that is only going to patch some edge cases and miss others.
Ideally, the solution is password managers everywhere, which don't have this vulnerability, instead of using human eyes to visually recognize web urls and thus is vulnerable.
Here you go:
https:// аррlе.соm
(using English "l" and "m" here, Russian м looks differently)
> "This is not theoretical. It is a measured property of the font files shipping on every Mac."
some patterns of speech are so recognizably LLM, i am convinced that the AI detection startups have a very strong chance to succeed on text.
This text made me curious, I liked the approach the author has taken. And it made me think how I would do it. My first idea would be to use ImageMagick to render text and then use ImageMagick's https://imagemagick.org/script/compare.php to somehow calculate the risk of confounding glyphs.
So: Don't be snarky? Maybe we need another rule here, to limit comments on "LLM style" https://news.ycombinator.com/newsguidelines.html
> some patterns of speech are so recognizably LLM, i am convinced that the AI detection startups have a very strong chance to succeed on text.
The problem for them is the market. Those who actually want to buy AI detection tools usually want the impossible - detecting any kind of AI-written text, or even AI-written-human-edited text.
You're right in that many HN articles (not going to comment on this one specifically) are very easy to detect. But that's just because these article writers are too lazy to even use any of the plethora of tools that remove the smells automatically, or tools that write without them in the first place (I've made such a tool myself), or even just adjusting the prompt to write in a different style that avoids them.
Most people who would be interested in paying for AI detection tools want them to detect all of the above cases too, which is of course impossible.
Most of the added value in this article can be summed up by saying that the Cyrillic glyphs are identical to the similar English ones in the fonts that author looked at (which isn't true for all fonts), and author didn't find many other such examples.
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¹ Try matching that word with "censorship" for fun