| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title></title> | |
| <meta charset="utf-8" /> | |
| <script src="Scripts/jquery-1.9.1.min.js"></script> | |
| <link href="Content/bootstrap.min.css" rel="stylesheet" /> | |
| <script src="Scripts/isRockFx.js"></script> | |
| <script> | |
| $(function () { |
| object Derive: | |
| import scala.quoted.* | |
| inline def derive[Contents, Mask]: NotIn[Contents, Mask] = | |
| ${ deriveImpl[Contents, Mask] } | |
| private def deriveImpl[Contents: Type, Mask: Type](using q: Quotes): Expr[NotIn[Contents, Mask]] = { | |
| import quotes.reflect.* | |
| if (inMask[Contents, Mask]) { | |
| report.errorAndAbort(s"Type ${Type.show[Contents]} is in Mask: ${Type.show[Mask]}") | |
| } else { |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title></title> | |
| <meta charset="utf-8" /> | |
| <script src="Scripts/jquery-1.9.1.min.js"></script> | |
| <link href="Content/bootstrap.min.css" rel="stylesheet" /> | |
| <script src="Scripts/isRockFx.js"></script> | |
| <script> | |
| $(function () { |
There is a small chance your account could be banned. DO NOT login with an important Google account (such as an account you use for Gmail)
If yt-dlp is asking you to log in, first try running --update-to nightly to see whether it fixes the issue!
Tip
TL;DR: Switch from Pterodactyl v2 by: staying on v1; switching to e.g. Calagopus.
I am a Pterodactyl user, using it since August 2021, and learning the basics of Linux, like simple commands, just because of selfhosting it. Since then, I have appeared on Vertisan - the creators of famously known Unix Theme (now dethroned by many).
Important
Why should I care about what you said in the gist?
You shouldn't. I'm a normal person, just like you. Do whatever you want, this is my stance.
| #include <iostream> | |
| void printArray(int *array, int n) | |
| { | |
| for (int i = 0; i < n; ++i) | |
| std::cout << array[i] << std::endl; | |
| } | |
| void quickSort(int *array, int low, int high) | |
| { |
| -- Subject: Locate DB2 functions, procedures, tables, views by query term | |
| -- Author: Dave Weissman | |
| -- Platform: IBM i (tested on V7R5) | |
| -- Date : June, 2024 | |
| -- | |
| stop; | |
| CREATE OR REPLACE PROCEDURE find_it (p_query VARCHAR(2048), --terms to search for | |
| p_libl VARCHAR(2048) DEFAULT 'SYSTOOLS,QSYS,QSYS2', --default library list | |
| p_omit_table BOOLEAN DEFAULT false, --skip table lookup |
| {} |
| /* | |
| Credits to original content: https://github.com/Matt-Fontes/SendScriptWhatsApp/blob/main/shrekSendScript.js | |
| */ | |
| let repeatTimes = 10; | |
| let internalCount = 0; | |
| const script = ` | |
| SHREK | |
| Written by |
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.
