| /* | |
| ********************************************************************* | |
| http://www.mysqltutorial.org | |
| ********************************************************************* | |
| Name: MySQL Sample Database classicmodels | |
| Link: http://www.mysqltutorial.org/mysql-sample-database.aspx | |
| Version 3.2 | |
| + changed the order of the CREATE TABLE and ALTER TABLE commands to work with MySQL 5.7 | |
| and issues with FOREIGN KEY CONSTRAINTS | |
| Version 3.1 |
Caution
As of August 26th 2026, Discord has started suspending quest access of people caught 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 WILL get flagged by doing so.
An guide how to activate Windows 11 Pro for free
Because you will get some more features like an Bitlocker and host your device as an External Desktop which can be accessed through the internet
The answer is yes! You can switch from almost any edition to Pro completely for free!
People which already have Pro, but not activated, can skip to this step.
What you first need to do is open CMD (Command Prompt) as Administrator using this keyboard key:
| Privacy Policy for [Bot Name] | |
| This Privacy Policy governs the collection, use, and sharing of personal information by [Bot Name], a Discord bot developed by [Developer Name]. By using [Bot Name], you agree to the terms of this Privacy Policy. | |
| Information We Collect | |
| We collect information that you provide to us through your use of the bot, such as your Discord user ID and username, server and channel information, and message content. We may also collect usage data, such as the frequency and duration of your use of the bot. | |
| How We Use Your Information |
| TERMS OF SERVICE AGREEMENT | |
| This Terms of Service Agreement (the "Agreement") is entered into between [Anshul Chauhan] ("Bot Owner") and the user ("User") of the [Bot Name] Discord bot (the "Bot"). | |
| By using the Bot, the User agrees to be bound by the terms of this Agreement. If the User does not agree to the terms of this Agreement, they should immediately discontinue use of the Bot. | |
| 1. Use of the Bot: The Bot Owner grants the User a non-exclusive, non-transferable, limited license to use the Bot for personal or non-commercial purposes. | |
| 2. Prohibited Use: The User may not use the Bot in any way that violates applicable laws, rules, or regulations or infringes upon the rights of any third party. The User may not use the Bot for any commercial purposes without the express written consent of the Bot Owner. | |
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A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory 20K+ Stars ⭐️, a persistent memory engine for AI coding agents.
This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.
The core insight is correct: stop re-deriving, start compiling. RAG retrieves and forgets. A wiki accumulates and compounds. The three-layer architecture (raw sources, wiki, schema) works. The operations (ingest, query, lint) cover the basics. If you haven't read the original, start there.
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.
| :: This script will download, install, and connect the tailscale client to | |
| :: %servurl% | |
| :: Written in batch to allow a simple double click from user without needing to | |
| :: adjust the Execution-Policy. Embedded powershell commands help simplify some | |
| :: things | |
| @echo off | |
| SET "servurl=https://example.com" | |
| SET "loginscript=%UserProfile%\Desktop\tailscale-login.bat" |
