m@the

380 posts

m@the

m@the

@ma4the

Hacking & Tinkering (っ*'ᗜ'*)ﾉ =͟͟͞͞@rubiyalab✧*

Katılım Ekim 2024
92 Takip Edilen78 Takipçiler
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陈成
陈成@chenchengpro·
Claude Code 泄露了全部源码——不是被黑客攻破，是 Anthropic 自己把 source map 打包进了 npm 发布物。 一个 57MB 的 cli.js.map 文件，里面藏着 4756 个源文件的完整内容。其中 1906 个是 Claude Code 自身的 TypeScript/TSX 源码，剩下 2850 个是 node_modules 依赖。 提取方法极其简单：cli.js.map 本质就是一个 JSON，里面有两个关键数组——sources（文件路径）和 sourcesContent（对应的完整源码）。两者索引一一对应。不需要反编译，不需要反混淆，sourcesContent 里存的就是一字不差的原始代码。提取脚本见文末。 从还原的源码可以看到：Claude Code 用 React + Ink 构建 CLI 界面，核心是一个 REPL 循环，支持自然语言输入和 slash 命令，底层通过工具系统与 LLM API 交互。架构设计、系统提示词、工具调用逻辑，全部一览无余。 这件事的本质是一个经典的安全疏忽：source map 是开发调试用的，包含从变量名到注释的所有信息，不应该出现在生产发布物中。Anthropic 后来意识到了这个问题，移除了 source map，GitHub 上提取源码的仓库也被 DMCA 了。但早期版本的 npm 包已经被存档，源码早就在社区流传。 给所有发布 npm 包的开发者提个醒：发布前检查你的 .map 文件。一行 sourcesContent 就能让你的所有代码公之于众。 gist.github.com/sorrycc/ec2968…
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Nucleus☕️
Nucleus☕️@EsotericCofe·
finally the web has become interesting again
Cheng Lou@_chenglou

My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

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RubiyaLab
RubiyaLab@rubiyalab·
UNSTOPPABLE!!!
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m@the
m@the@ma4the·
천재연성...
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m@the
m@the@ma4the·
디지털 서커스 넘 재밌다...
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m@the
m@the@ma4the·
REV core:
GIF
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m@the retweetledi
aflac 🏳️‍⚧️
aflac 🏳️‍⚧️@aflaccck·
(chapter 8 spoilers) heres a transcription of kinger using the console any ...s are letters i couldnt figure out or was unsure about. just anything that got covered
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m@the@ma4the·
@ykrauq Can’t wait for your Tuesday posts!
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RubiyaLab
RubiyaLab@rubiyalab·
SKRL (RubiyaLab x SK shieldus, @EQSTLab) wins the Professional track at @MidnightFlag CTF Quals! 🥇 Catch us at ESNA in June! 🇫🇷
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NewsForce
NewsForce@Newsforce·
POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce
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RubiyaLab
RubiyaLab@rubiyalab·
LET'S KEEP PUSHING
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m@the
m@the@ma4the·
@pao__TKD 하 웃으면 안되는데ㅠㅠㅠ너무 가엽고 귀엽고 눈물나고
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파오🥋🌱
파오🥋🌱@pao__TKD·
챙강!챙강! 주방이모: 무ㅅ....... 챙그랑!챙강!챙강!쨍!쨍!쨍그랑!챙강! 챙강! 챙그랑!쨍강!칭!챙!총!챙!챙강!
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