| ! ============================ | |
| ! YouTube Top Nav Bar | |
| ! ============================ | |
| ! always show normal YouTube logo, never that distracting doodleyoodle | |
| www.youtube.com##ytd-topbar-logo-renderer > a > ytd-yoodle-renderer | |
| www.youtube.com##ytd-topbar-logo-renderer > a > div:remove-attr(hidden) | |
| ! hide "Search with your voice" button (YouTube users have no voice) | |
| www.youtube.com###masthead #center #voice-search-button |
| i386 : iPhone Simulator | |
| x86_64 : iPhone Simulator | |
| arm64 : iPhone Simulator | |
| iPhone1,1 : iPhone | |
| iPhone1,2 : iPhone 3G | |
| iPhone2,1 : iPhone 3GS | |
| iPhone3,1 : iPhone 4 | |
| iPhone3,2 : iPhone 4 GSM Rev A | |
| iPhone3,3 : iPhone 4 CDMA | |
| iPhone4,1 : iPhone 4S |
If you ever need to download an entire website, perhaps for off-line viewing, wget can do the job — for example:
$ wget --recursive --no-clobber --page-requisites --html-extension --convert-links --restrict-file-names=windows --domains website.org --no-parent www.website.org/tutorials/html/
This command downloads the website www.website.org/tutorials/html/.
The options are:
--recursive: download the entire website--domains website.org: don't follow links outside website.org
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.
| Visual Studio 2026 18.x | |
| Professional: NVTDK-QB8J9-M28GR-92BPC-BTHXK | |
| Enterprise: VYGRN-WPR22-HG4X3-692BF-QGT2V | |
| Product Year Version Product Keys | |
| Visual Studio 2022 2021 17.x | |
| Professional: TD244-P4NB7-YQ6XK-Y8MMM-YWV2J | |
| Enterprise: VHF9H-NXBBB-638P6-6JHCY-88JWH | |
| Visual Studio 2019 2019 16.x |
| deb http://deb.debian.org/debian/ bookworm main contrib non-free non-free-firmware | |
| deb http://deb.debian.org/debian/ bookworm-updates main contrib non-free non-free-firmware | |
| deb http://deb.debian.org/debian/ bookworm-backports main contrib non-free non-free-firmware | |
| deb http://security.debian.org/debian-security/ bookworm-security main contrib non-free non-free-firmware |
