MotherSphere

NIKKE PC launcher compromise (November 2026)

Caution

From 2026-09-27, four official JavaScript files on Level Infinite's CDN contained attacker code. The NIKKE PC launcher loads these files. From Oct 24 at the latest, opening the launcher could install a remote-control agent: while the launcher was open, the attacker could run any command on your machine, read any file and take screenshots.

Update, 2026-11-03 22:40 GMT: three of the files were replaced on Nov 3 at 17:04, 17:13 and 17:21 GMT. The fourth, FeedList.feb647c9.js, was cleaned at the origin on Oct 28, but two CDN servers still delivered the modified copy at 22:26 GMT. The attacker's server no longer answered at 18:31 GMT. None of this undoes anything on machines that were already infected, and the old files may still be in your launcher's cache. Do not open the NIKKE PC launcher until Level Infinite confirms the fix, and clear its cache before you do.

This report comes from one infected machine, plus findings from other

nvckai

Discord Game Time Badge Spoofer (5000 Hours)

How to use

1. Open Discord client, press Ctrl + Shift + I to open DevTools (Discord client only, Browser is not supported)
2. Go to Console tab
3. Type allow pasting and press Enter
4. Paste the snippet below and press Enter

Snippet

abir-taheer

if (window.location.origin !== "https://www.instagram.com") {
  window.alert(
    "Hey! You need to be on the instagram site before you run the code. I'm taking you there now but you're going to have to run the code into the console again.",
  );
  window.location.href = "https://www.instagram.com";
  console.clear();
}

const fetchOptions = {
  credentials: "include",

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.

priyanshujain

Public Datasets

Agriculture

• U.S. Department of Agriculture's PLANTS Database
• [U.S. Department of Agriculture's Nutrient

dasdo

Configuración Básica

Configurar Nombre que salen en los commits

	git config --global user.name "dasdo"

Configurar Email

	git config --global user.email dasdo1@gmail.com

alsyundawy

🖥️ Installer for Microsoft Office for macOS

Microsoft Office for macOS

Your ultimate resource for macOS Office installers, serializers, and troubleshooting.

[](https://github.com/alsyun

gsimone

See

Léna Piquet (Froyok), [Breakdown] Shadow of the Colossus (PAL, PS2), 2012 https://www.froyok.fr/blog/2012-10-breakdown-shadow-of-the-colossus-pal-ps2/

The Making of Shadow of the Colossus (PDF, hosted with the breakdown above) https://www.froyok.fr/blog/2012-10-breakdown-shadow-of-the-colossus-pal-ps2/resources/making_of_sotc.pdf

Fumito Ueda interview, The Making of the Colossi https://glitterberri.com/extended-developer-interview/making-of-the-colossi/