saulfield

Memphis Rap Archive

187 Family

• [1996] 187 Family - Solo Tape
  • 1 - Real Niggas
  • 4 - Drinking
  • 5 - Player Haters
  • 9 - Glock
  • 11 - Back on the Track

dori4n

Office 2024 ISO images

updated 2024-09-20

Version 2409? (Build 16.0.17928.20148)

---

English

lovesegfault

###Go Horse Process (XGH)

1. Thought about it? It's not XGH

• In XGH you don't think, you do the first thing that comes to your head. There's no other option, the only option is the fastest one.

2. There are 3 ways to solve a problem: the right, the wrong and the XGH way, which is just like the wrong one, but faster.

• XGH is faster than any other software development methodology you know (See Axiom 14).

3. The more you do XGH, the more you'll need to do it

• For each problem solved using XGH seven more are created. But all of them will be solved in the XGH way. XGH tends to infinity.

aamiaa

Caution

As of April 7th 2026, Discord has expressed their intent to crack down on automating quest completion.

Some users have received the following system message:

There isn't much I can do to make the script undetected, so use it at your own risk, as you most likely WILL get flagged by doing so.

Complete Recent Discord Quest

nafiesl

How to get Telegram Bot Chat ID

Content :

1. Create a Telegram Bot and get a Bot Token
2. Get Chat ID for a Private Chat
3. Get Chat ID for a Channel
4. Get Chat ID for a Group Chat
5. Get Chat ID for a Topic in a Group Chat

Create a Telegram Bot and get a Bot Token

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.

frozenpandaman

Downloading Widevine content

Specifically from Rakuten TV (live.tv.rakuten.co.jp)

FMI: https://cdm-project.com/How-To/ & https://old.reddit.com/r/Piracy/comments/y30ffr/

Setup

1. Install Tampermonkey: https://www.tampermonkey.net/
2. Install yt-dlp: https://github.com/yt-dlp/yt-dlp#installation

mhmdiaa

cat urls.txt | httpx -json -store-response -output httpx.json

cat httpx.json | jq -r '"\(.stored_response_path) \(.path | ltrimstr("/"))"' | xargs -n 2 sh -c 'mkdir -p "$(dirname $2)" && cp $1 $2' sh

vialuch

在 GPT Chat 窗口里做一个可点击的互动娃娃屋

Made by Dan & Joy

1. 最终效果是什么

目标不是在聊天里贴一张静态图片，也不是让用户跳转到外部网页，而是让 ChatGPT 在回复中直接渲染一张可交互的卡片：

• 卡片内显示人物立绘、姿势、镜头、状态值和当前剧情片段；
• 用户可直接点击人物、按钮、姿势或镜头；
• 每次点击都会调用 MCP 工具，更新服务器中的真实会话状态；