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A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
一种用自然选择驱动个人知识库新陈代谢的模式。
大多数人的笔记系统是图书馆:你写一篇笔记,它被归档,从此静静躺着。偶尔被翻出来,但更多时候永远沉底。笔记只会被「更新」——有新信息就补上去。它不会自己生长、不会淘汰过时的内容、不会发现两个从未被放在一起的想法之间有惊人的关联。Karpathy 的 LLM Wiki 解决了「编译」问题——让 LLM 帮你维护知识库的一致性和交叉引用。但它本质上还是一座越来越厚的百科全书。没有新陈代谢。
这里的想法不同。笔记不是静态文档,是有机体。整个笔记系统不是图书馆,是生态系统。有机体会繁殖、变异、竞争、死亡。生态系统会自发涌现出你从未预期的新物种。驱动这一切的引擎,是达尔文的三件套:
Hanging out in subtitling and video re-editing communities, I see my fair share of novice video editors and video encoders, and see plenty of them make the classic beginner mistakes when it comes to working with videos. A man can only read "Use Handbrake to convert your mkv to an mp4 :)" so many times before losing it, so I am writing this article to channel the resulting psychic damage into something productive.
If you are new to working with videos (or, let's face it, even if you aren't), please read through this guide to avoid making mistakes that can cost you lots of time, computing power, storage space, or video quality.
There is a lot of hidden treasure lying within university pages scattered across the internet. This list is an attempt to bring to light those awesome courses which make their high-quality material i.e. assignments, lectures, notes, readings & examinations available online for free.
| CVE-2023-39141 is reserved for this vulnerability | |
| Project link: | |
| https://github.com/ziahamza/webui-aria2/ | |
| Vulnerability type: | |
| Path traversal | |
| Root cause: This line https://github.com/ziahamza/webui-aria2/blob/109903f0e2774cf948698cd95a01f77f33d7dd2c/node-server.js#L10 accepts file name from URL input, without sanitizing it to be in the same directory. |
