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Chat GPT "DAN" (and other "Jailbreaks")

Complete Recent Discord Quest

How to use this script:

Accept the quest under User Settings -> Gift Inventory
Join a vc
Stream any window (can be notepad or something)
Press Ctrl+Shift+I to open DevTools
Go to the Console tab
Paste the following code and hit enter:

let wpRequire;

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

4 Steps in Running LLaMA-7B on a M1 MacBook

The large language models usability

The problem with large language models is that you can’t run these locally on your laptop. Thanks to Georgi Gerganov and his llama.cpp project, it is now possible to run Meta’s LLaMA on a single computer without a dedicated GPU.

Running LLaMA

There are multiple steps involved in running LLaMA locally on a M1 Mac after downloading the model weights.

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Canvas Game</title>
	<style>
	canvas {
	border: 1px solid black;
	}

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Canvas Game</title>
	<style>
	canvas {
	border: 1px solid black;
	}

	# install packages
	# pip install faiss-cpu sentence-transformers

	import numpy as np
	import torch
	import faiss
	import time
	from sentence_transformers import SentenceTransformer

	# https://www.sbert.net/docs/pretrained_models.html#multi-qa-models

	$ brew install unbound
	$ unbound-anchor -a /usr/local/etc/unbound/root.key
	$ unbound-control-setup -d /usr/local/etc/unbound
	$ unbound-checkconf /usr/local/etc/unbound/unbound.conf
	$ sudo brew services start unbound

	docker run \
	--name {{printf "%q" .Name}} \
	{{- with .HostConfig}}
	{{- if .Privileged}}
	--privileged \
	{{- end}}
	{{- if .AutoRemove}}
	--rm \
	{{- end}}
	{{- if .Runtime}}