맥에서 Caps Lock을 한/영 전환키로 사용하면서부터 딜레이가 생기거나, 제대로 바뀌지 않는 고질적인 문제가 꾸준히 발생해왔다. 대소문자를 고정하는 Caps Lock기능과 한/영 전환 기능을 누른 시간에 기반하여 구분하는 과정에서 생긴 문제로 추정되지만, Caps Lock기능을 해제해도 여전히 문제가 발생한다. 이에 사용자들은 karabiner-elements등의 편법을 통해 Caps Lock키를 실제로 사용하지 않는 F18등의 키로 매핑하여 해결해 왔다.

하지만, Apple Silicon을 탑재한 기기들에서는 다음과 같은 문제가 있다.

• karabiner-elements가 제대로 지원되지 않는 이슈가 있어 hammerspoon등의 차선책을 사용해야한다.
• M1 이전까지의 맥과는 다르게 키매핑만으로 문제가 완전히 해결되지 않는다.

For example, you want to set 40% alpha transparence to #000000 (black color), you need to add 66 like this #66000000.

Before starting, check the git history to determine if this is a follow-up review:

git log --oneline -10 | grep -i "Co-Authored-By: Claude"

How to use this script:

1. Accept a quest under Discover -> Quests
2. Press Ctrl+Shift+I to open DevTools
3. Go to the Console tab
4. Paste the following code and hit enter:

This gist provides an example of how to only include parts of others' repository as submodule in your project.

What is more, it will also show how to "put" the folders of submodule to desired location (e.g. under your project's root), without breaking the submodule.

Consider we have a repository

Simulation

• README.md

There is one another repository we want to use, but only the algorithm folder is needed.

This is a guide to setting up Clawdbot/Moltbot with a local Ollama model that actually works -- meaning it has good tool use and decent speed. The main requirement is 48GB of VRAM. I have yet to find a model that fits on less than this and still works on Moltbot.

The setup involves creating a tool-tuned variant of qwen2.5:72b and modifying a range of configs in Moltbot. At the end you'll get a local Moltbot instance that can use tools (exec, read, write, web search), read skills, and perform agentic tasks without any cloud API dependencies. On my system I get ~16 t/s and have yet to come across a tool/skill that my bot can't use.

Claude Opus wrote the first draft of this Gist, then I (a human) checked and edited it.

Windows 32:

• https://vlc-bluray.whoknowsmy.name/files/win32/libaacs.dll
• Place in C:\Program Files (x86)\VideoLAN\VLC

Windows 64:

• https://vlc-bluray.whoknowsmy.name/files/win64/libaacs.dll
• Place in C:\Program Files\VideoLAN\VLC

nvidia-smi (NVIDIA System Management Interface) is a command-line tool that provides monitoring, management, and diagnostic information for NVIDIA GPU devices.

It communicates directly with the NVIDIA driver and GPU, and can:

• Monitor GPU performance, temperature, and utilization
• Manage power, clock speeds, and ECC
• Control persistence mode and compute modes

See how a minor change to your commit message style can make a difference.

git commit -m"<type>(<optional scope>): <description>" \
  -m"<optional body>" \
  -m"<optional footer>"