CoralSpiritSpade

ROB RUN — PC Runtime Tool (2026)

Windows runtime tool for ROB RUN — open-world crime sandbox MMO. 42 options · Three presets · No game file modifications · Current Steam build

P4STH3LL

How to get Widevine DRM working in Helium Browser (Linux, macOS, Windows)

Helium doesn't ship with Widevine DRM out of the box because it's an ungoogled-chromium fork and does not possess a licence to include it.

So, if you try to access Netflix, Spotify, Crunchyroll or any DRM-protected content you will probably (if not certainly) experience failure.

You can fix this easily with a Widevine licensed browser that already has the Widevine files (Chrome, Opera, Edge or Brave as long as the browser use the Chromium engine) right into Helium's data folders. Since Helium scans these directories when it boots up, it'll pick them up automatically.

Here's how to proceed depending on your OS (This guide uses Brave as the reference browser, but as long as you can locate the Widevine files, it doesn't matter).

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.

sebi364

#!/usr/bin/env python3


import sys
import struct
import argparse
import usb.core
import usb.util

CANON_VID = 0x04A9

hay

<!doctype html>
<html>
<head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1" />
    <title>Enterprisify your Java Class Names! (by Hay Kranen)</title>
    <style>
        body {
            background: white;
            text-align: center;

rroblak

This is a simple way to spot check that the modified image in your git index is the image you actually want without having to leave the command line.

Example: http://i.imgur.com/RUenUcM.png

Instructions

1. Install git, ImageMagick, and jp2a via your favorite package manager.
2. Put img-ascii-diff somewhere (e.g. ~/bin/img-ascii-diff).
3. Put attributes in ~/.config/git/attributes.
4. Modify ~/.gitconfig and add the lines below, pointing to wherever you put img-ascii-diff.

eeriemyxi

// ==UserScript==
// @name         AI Chat Log Exporter
// @namespace    https://github.com/local/chat-log-exporter
// @version      2.5.3
// @description  Export the full transcript of an AI chat — including history the page never loaded — as Markdown, JSON, or plain text, with an estimated context-window count. Supports Meta AI, DeepSeek, ChatGPT, and Gemini.
// @match        https://meta.ai/*
// @match        https://chat.deepseek.com/*
// @match        https://chatgpt.com/*
// @match        https://gemini.google.com/*

GrabbenD

Setup org.freedesktop.secrets the easy way with KeepassXC in Github Desktop

Overview

You might want to quickly authenticate with your Github Account to avoid having to manually configure GIT.

Although if you're using a lightweight distribution you might discover that you have to manually find a provider for org.freedesktop.secrets.

I encountered this problem and wanted to share my thoughts and general pointers from what I've learned!

orepras

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name: bahasa-indonesia-plain description: > Tulis dan edit teks antarmuka, panduan, dokumentasi, atau konten apa pun dalam Bahasa Indonesia yang lugas, inklusif, dan ramah semua orang, menggunakan prinsip bahasa polos (plain language), EYD, desain trauma-informed, aksesibilitas kognitif, dan framework RASA (Ritmis, Akurat, Sarat Makna, Alami) sebagai lensa evaluasi kualitas tulisan. Gunakan skill ini saat menulis UI copy, microcopy, laporan, panduan pengguna, komunikasi layanan publik, atau teks apa pun yang harus dipahami siapa saja sejak pertama kali membacanya.