Tootfinder

Honestly, #emoji and icons in #Unicode are a true horror.
Yeah, sure. It's great that you don't have to use <img/> anymore and you can just paste a random Unicode character. You can get graphics into fields where only text was originally intended (like bug summaries). Even better, you can now easily get cool colorful icons on terminal with almost no effort.
However, it is an #accessibility nightmare. People are now encoding *information* in random graphical symbols. Symbols that require huge fonts to render, or huge character tables to describe.
Yeah, a bare <img/> carrying information sucks. However, you can add a *meaningful* alt-text to the image, and accessibility tools can use that text to provide meaningful context. Like "bug fix".
However, emojis and icons are symbolic. The best you can get is some description like "hammer and wrench", so people can kinda figure out that it's probably a "bug fix". Or maybe it was a "maintenance task"? Or you'll get a "unknown character 0x1F6E0". And I'm sure people will surely enjoy cross-referencing a "legend" of such "unknown characters".

from my link log —
Locales, encodings, Unicode, and C .
http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2020r0.pdf
saved 2022-04-18

Inverse Optimal Feedback and Gain Margins for Unicycle Stabilization
Kwang Hak Kim, Velimir Todorovski, Miroslav Krsti\'c
https://arxiv.org/abs/2509.25563 https://

Inverse Optimal Feedback and Gain Margins for Unicycle Stabilization
The recent development of globally strict control Lyapunov functions (CLFs) for the challenging unicycle parking problem provides a foundation for pursuing optimality. We address this in the inverse optimal framework, thereby avoiding the need to solve the Hamilton$\unicode{x2013}$Jacobi$\unicode{x2013}$Bellman (HJB) equations, and establish a general result that is optimal with respect to a meaningful cost. We present several design examples that impose varying levels of penalty on the control…

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

@… #AskFedi I need a regex (for Discord’s AutoMod) that prevents any text in all Unicode “fonts” from being sent. By “Unicode fonts” I mean things like these:

Unicode Font Style Converter - TextEditor
Enter your text in the input field above or click the random text button and see your phrase converted instantly to more than 60 unicode font styles

RE: #Unicode is a wonderful thing.

I □ Unicode
(And so do scammers)
From: Team Мonzo <monzo@karoo.co.uk>
[…]
You can complete this verification at your convenience using the link below:
https://Мonzo.com/verify

New toy: Font coverage analyzer (alpha)
blueset.github.io/font-coverage/

I took a look at the changes coming with Python 3.15 – and I can't wait to put them to productive use. I've already updated our tutorials:
• utf-8 as the default encoding: https://python-basics-tutorial.readthedocs.io/en/latest/ty…

Unicode and character encodings
Special characters and escape sequences:\n stands for the newline character and\t for the tab character. Character sequences that begin with a backslash and are used to represent other characters a...

U 00A0: NON-BINARY SPACE
#Unicode

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

圈起来想搜下原文，结果搜到了一麻袋的🫚

www.unicode.org/irg/docs/n2878r-CJKComponents4IDS.pdf

kudos to you, fellow eng on the Music app team - go on with your wacky unicode loving self
log stream --debug --predicate 'subsystem == "com.apple.amp.mediaplaybackcore" AND category == "PlaybackEvents"'

kind of funny that emojis have only been around in Unicode for 15 years

Gotta say, the Text Replacement feature on my iPhone is one of the best things about it.
⌘  ‽ © π
Are some of the symbols I can type easily and it makes me so giddy 😋
*PS: Wish there was a searchable symbol database easily accessible by the keyboard.*
#iPhone #iOS #Unicode #Tech

Go / Unicode folks: any idea what character set does the IDNA2008 implementation in Go with StrictDomainName=false actually accepts?
https://github.com/golang/go/issues/76804
I think this is actually somewhat security-relevant

I received a bug report about picolibc's iconv implementation. So I added a test case. Which pushed the CI runtime up over *six hours* at which point github gave up and killed it.
I spent a bit of time yesterday and today re-implementing the JIS to Unicode conversion function to make it faster. Lines changed: 5125 additions & 7495 deletions. Runtime is back to normal now. And I have a deeper understanding of these encodings.

Iconv fixes by keith-packard · Pull Request #1141 · picolibc/picolibc
PR #1139 fixes one issue in iconv, but when I implemented an exhaustive test case, I found a bunch more.

Test #emojis:
Emoji 1.0 (https://emojipedia.org/emoji-1.0): 😀😃😄😁😆
Emoji 17.0 (…

So, “IJ” is a diphthong — capitalised together therefore, and can have its own #unicode digraph — but the equivalence with “Y” existed until 1804 and has been deprecated since.
https://en.wikipedia.org/wiki/IJ_(digr

Do you want to stop putting dots or some random stuff in forms to skip required fields? The website is too smart and rejects all #Unicode spaces?
You can always use a U 200E Left-To-Right Mark.

The Five Safes as a Privacy Context
James Bailie, Ruobin Gong
https://arxiv.org/abs/2510.05803 https://arxiv.org/pdf/2510.05803

The Five Safes as a Privacy Context
The Five Safes is a framework used by national statistical offices (NSO) for assessing and managing the disclosure risk of data sharing. This paper makes two points: Firstly, the Five Safes can be understood as a specialization of a broader concept $\unicode{x2013}$ contextual integrity $\unicode{x2013}$ to the situation of statistical dissemination by an NSO. We demonstrate this by mapping the five parameters of contextual integrity onto the five dimensions of the Five Safes. Secondly, the Fiv…

𓁿 𓉩 𓊲 𓀬 𓇽 𓅽 𓎩 𓇇
when i was 12 i fantasized abt making a roguelike using hieroglyph unicode instead of ascii, thinking itd lean into some sorta farming lifesim thing, or go all in on depicting a journey thru death as close to the mythology as wasnt boring, or put the two together for a transition after u die. i havent been super tapped into the roguelike scene like i used to be, does anything remotely like this exist?
𓈋𓈋𓈋𓈏𓈋𓈋
𓈖𓈄𓈏𓇾𓉐𓈋
𓈖𓊛𓀛𓇿𓇿𓇿
𓈖𓈘𓈘𓈘𓈘𓈘
𓈄𓇇𓇿𓈋𓈋𓈏

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

from my link log —
ucs-detect: automatically test the Unicode version and support level of a terminal emulator.
https://ucs-detect.readthedocs.io/
saved 2025-11-15 https:/…

The charge-singlet measurement toolbox
Abhijit Chakraborty, Randy Lewis, Christine A. Muschik
https://arxiv.org/abs/2510.08718 https://arxiv.org/pdf/2510.0…

The charge-singlet measurement toolbox
Symmetry is fundamental to physical laws across different scales$\unicode{x2014}$from spacetime structure in general relativity to particle interactions in quantum field theory. Local symmetries, described by gauge theories, are central to phenomena such as superconductivity, topological phases, and the Standard Model of particle physics. Emerging simulation techniques using tensor network states or quantum computers offer exciting new possibilities of exploring the physics of these gauge theor…

Imperceptible Jailbreaking against Large Language Models
Kuofeng Gao, Yiming Li, Chao Du, Xin Wang, Xingjun Ma, Shu-Tao Xia, Tianyu Pang
https://arxiv.org/abs/2510.05025 https:/…

Imperceptible Jailbreaking against Large Language Models
Jailbreaking attacks on the vision modality typically rely on imperceptible adversarial perturbations, whereas attacks on the textual modality are generally assumed to require visible modifications (e.g., non-semantic suffixes). In this paper, we introduce imperceptible jailbreaks that exploit a class of Unicode characters called variation selectors. By appending invisible variation selectors to malicious questions, the jailbreak prompts appear visually identical to original malicious questions…

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

I'm writing a #befunge interpreter in #rust (for fun) , and I've decided to make it unicode compliant. That means that emojis will be fair game in the funge source code, and I think those programs are going to be amazing to look at!

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted