I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
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Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#2Maybe not at super large font sizes. But even lowercase i and l are easy enough to confuse at a glance mid-word in most sans-serif fonts, not to mention uppercase I and lowercase l. You don’t even need “confusable” glyphs to create a domain name that will stand up to a casual visual confirmation from a busy user in a phishing context.
Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#3This is really cool. I loved the technical breakdown and side by side comparisons. Surprised to hear that Microsoft and MacOS default fonts didn't score so well!
Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#4Maybe not at super large font sizes. But even lowercase i and l are easy enough to confuse at a glance mid-word in most sans-serif fonts, not to mention uppercase I and lowercase l. You don’t even need “confusable” glyphs to create a domain name that will stand up to a casual visual confirmation from a busy user in a phishing context.
Every Albert, Alfred, or Alphonso who goes by “Al” getting confused with bots right now…
Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#5Maybe not at super large font sizes. But even lowercase i and l are easy enough to confuse at a glance mid-word in most sans-serif fonts, not to mention uppercase I and lowercase l. You don’t even need “confusable” glyphs to create a domain name that will stand up to a casual visual confirmation from a busy user in a phishing context.
Every Albert, Alfred, or Alphonso who goes by “Al” getting confused with bots right now…
I used to read"Weird Al" as "AI" even before the LLM craze.
Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#6well, you didn't really do anything, did you? Claude Code rendered these things and wrote the blog post haha
> "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.
Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#7well, you didn't really do anything, did you? Claude Code rendered these things and wrote the blog post haha > "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.
However it was written, it’s a useful and well structured article. I thought it was a good read
Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#8well, you didn't really do anything, did you? Claude Code rendered these things and wrote the blog post haha > "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.
Going off on a bit of a tangent here..
> 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.
Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#9well, you didn't really do anything, did you? Claude Code rendered these things and wrote the blog post haha > "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.
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Re: I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
#10This is very cool, impressive piece of work Paul.