Getting Rusty At Coding#If you’ve spent enough time on programming forums such as Hacker News, you’ve probably seen the name “Rust”, often in the context of snark. Rust is a relatively niche compiled programming language that touts two important features: speed, which is evident in framework benchmarks where it can perform 10x as fast as the fastest Python library, and memory safety enforced at compile time through its ownership and borrowing systems which mitigates many potential problems. For over a decade, the slogan “Rewrite it in Rust” became a meme where advocates argued that everything should be rewritten in Rust due to its benefits, including extremely mature software that’s infeasible to actually rewrite in a different language. Even the major LLM companies are looking to Rust to eke out as much performance as possible: OpenAI President Greg Brockman recently tweeted “rust is a perfect language for agents, given that if it compiles it’s ~correct” which — albeit that statement is silly at a technical level since code can still be logically incorrect — shows that OpenAI is very interested in Rust, and if they’re interested in writing Rust code, they need their LLMs to be able to code well in Rust.
圖像加註文字，安東尼·阿爾巴尼斯從其官方官邸撤離，並回避了數個小時Article InformationAuthor, 拉娜·林（Lana Lam）、黃曉恩（Tessa Wong）
，推荐阅读搜狗输入法2026获取更多信息
This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.
�@�����̃v���[���g�ő��悳�ꂽ�J�[�h�t�F�C�X�͂Ƃ����ƁAAndroid�X�}�z��Apple Pay�œ����BApple Pay�ł͌��ʂ����������y���߂������AAndroid�X�}�z�ł͌��ʂ̈ꕔ�������ɉB���Ă��܂��܂��B