Taha Alabyad Tahax09

How to unlike all Facebook page at once

If you want to do cleaning on your Facebook timeline, you may want to unlike all Facebook pages quickly. There is a way for that :

Go to firefox and install iMacros
Open a text editor (i.e. Notepad, Sublime Text), and paste that code inside :

VERSION BUILD=7401110 RECORDER=FX

Thanks everyone for commenting/contributing! I made this in college for a class and I no longer really use the technology. I encourage you all to help each other, but I probably won't be answering questions anymore.

This article is also on my blog, too.

Note: $ denotes the start of a command. Don't actually type this.

Steps to Install Anaconda on Windows Ubuntu Terminal

Install WSL (Ubuntu for Windows - can be found in Windows Store). I recommend the latest version (I'm using 18.04) because there are some bugs they worked out during 14/16 (microsoft/WSL#785)
Go to https://repo.continuum.io/archive to find the list of Anaconda releases
Select the release you want. I have a 64-bit computer, so I chose the latest release ending in x86_64.sh. If I had a 32-bit computer, I'd select the x86.sh version. If you accidentally try to install the wrong one, you'll get a warning in the terminal. I chose `Ana

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.

	import speech_recognition
	import pyttsx

	speech_engine = pyttsx.init('sapi5') # see http://pyttsx.readthedocs.org/en/latest/engine.html#pyttsx.init
	speech_engine.setProperty('rate', 150)

	def speak(text):
	speech_engine.say(text)
	speech_engine.runAndWait()

	// Dependency: CountUp.js: https://github.com/inorganik/CountUp.js

	(function ($) {
	$.fn.countup = function (params) {
	// make sure dependency is present
	if (typeof CountUp !== 'function') {
	console.error('countUp.js is a required dependency of countUp-jquery.js.');
	return;
	}

	let interval = null
	let count = 10000
	let ntt = function(){
	interval = setInterval(function(){
	document.querySelectorAll('[data-testid=unlike]').forEach((t)=> {
	t.click()

	})
	count += 1000
	window.scrollTo(0, count);

	#
	# This script converts margins, padding, and borders to logical values,
	# allowing RTL and vertical languages to show correctly.
	# Supports both .css and .scss files.
	#
	# Some renames are not yet implemented widely, and may require CSS plugin
	# https://github.com/csstools/postcss-logical
	# They have been commented out for now, but feel free to try them out.
	#
	# Full spec: https://drafts.csswg.org/css-logical/