sudo apt update && sudo apt upgrade -ysudo apt install zsh -y| 1. Open CMD as Administrator | |
| 2. Paste the following commands into the Cmd: One by one, follow the order. | |
| cscript slmgr.vbs /ipk "SERIAL NUMBER HERE" | |
| Replace SERIAL NUMBER HER with any of these, according your Windows 10 installation type. | |
| Home/Core TX9XD-98N7V-6WMQ6-BX7FG-H8Q99 | |
| Home/Core (Country Specific) PVMJN-6DFY6-9CCP6-7BKTT-D3WVR | |
| Home/Core (Single Language) 7HNRX-D7KGG-3K4RQ-4WPJ4-YTDFH |
| Hi All! | |
| I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future. | |
| Feel free to request any features you'd like to see, and I'll prioritize them accordingly. | |
| One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it. | |
| Here's the link to the repository: https://github.com/Pulimet/ADBugger | |
| App Description: | |
| ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups. |
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.
docker-compose up
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.24/containers/json?all=1&filters=%7B%22label%22%3A%7B%22com.docker.compose.config-hash%22%3Atrue%2C%22com.docker.compose.project%3Dahara%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission deniedIts specially for Linux
This error occurs because your user does not have permission to access the Docker Unix socket located at . By default, this socket is owned by , and only members of the group can access it without using . [1]