XVilka

THIS GIST WAS MOVED TO TERMSTANDARD/COLORS REPOSITORY.

PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!

tekin

# Stick this in your home directory and point your Global Git config at it by running:
#
#  $ git config --global core.attributesfile ~/.gitattributes
#
# See https://tekin.co.uk/2020/10/better-git-diff-output-for-ruby-python-elixir-and-more for more details

*.c     diff=cpp
*.h     diff=cpp
*.c++   diff=cpp
*.h++   diff=cpp

rspier

// SPDX-License-Identifier: Apache-2.0

Tailscale && Rainmachine

Download ARM static binary from https://pkgs.tailscale.com/stable/#static .

Enable SSH on your Rainmachine

Copy to Rainmachine

Spywar3

Installing Zwift on Linux using Steam.

This describes the process on how to install Zwift on Linux using Steam to manage the game.

It has been verified with the following software versions:

• Linux Kernel: 6.19.2-2
• Steam Beta Branch: Stable Client
• Steam Version: 1769025840
• Steam Linux Runtime: proton-cachyos-10.0-20260207

karpathy

LLM Wiki

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.

The core idea

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.