Oliver Kopp koppor

Installing GitButler on Windows via WSL - A Complete Guide

This guide will provide a complete walkthrough for getting GitButler setup and functioning on a windows environment using Windows Subsystem for Linux (WSL).

Please note that GitButler on windows via wsl is not well tested and not officially supported, though one of the top priorities of the GitButler team is to get a working windows build out asap. For now, however this is the easiest solution I have developed.

Prerequisites:

You must be running Windows 10 version 2004 and higher (Build 19041 and higher) or Windows 11 for this guide to work correctly.
I highly suggest using the windows terminal app for doing all the command line work if you are not using it already, though this is not required.

Known Issues

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

Pina

I am developing an asset management system with the Python web framework Django. The goal of AssetStorm is to model structured document like magazine articles in a verifyable structure without having to specify the structure itself in the code. AssetStorm achieves this goal with objects of the type AssetType. They store the information how an asset may be structured as JSON with the IDs of other AssetType as references. The JSON structure contains named keys and lists with only one ID which means that this AssetType may be repeated as often as needed. The data itself is stored as objects of type Asset which also contain JSON. This JSON stores the actual primary keys of other assets. This allows any tree structure of assets with typed branches. The structure can be verified using the information from the corresponding AssetType. This software already works great. However I want to improve it by allowing versioned updates of the content. I want the software to be usable as a collaborative e

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

	import jdk.internal.org.objectweb.asm.*;

	import java.io.*;
	import java.nio.file.*;
	import java.nio.file.attribute.BasicFileAttributes;
	import java.util.*;
	import java.util.concurrent.*;
	import java.util.function.Consumer;

	/**

	#! /usr/bin/env python3

	'''
	Needs Requests (pip3 install requests)

	Author: Marcello Salvati, Twitter: @byt3bl33d3r
	License: DWTFUWANTWTL (Do What Ever the Fuck You Want With This License)


	This should allow you to detect if something is potentially exploitable to the log4j 0day dropped on December 9th 2021.

	---
	name: Post-deploy
	on:
	push:
	branches-ignore:
	- 'master'
	env:
	PLATFORMSH_CLI_TOKEN: ${{ secrets.CLI_TOKEN }}
	GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
	ACC_MIN: 0.80

	//DEPS org.jmonkeyengine:jme3-core:3.4.0-stable
	//DEPS org.jmonkeyengine:jme3-desktop:3.4.0-stable
	//DEPS org.jmonkeyengine:jme3-lwjgl:3.4.0-stable
	//DEPS org.jmonkeyengine:jme3-testdata:3.4.0-stable
	//DEPS org.jmonkeyengine:jme3-jbullet:3.4.0-stable

	package jme3test.helloworld;

	import com.jme3.app.SimpleApplication;
	import com.jme3.asset.TextureKey;

	#!/bin/bash
	# enable host for ansible
	set -e
	PUBKEY=""
	id -u ansible > /dev/null 2>&1 \|\| \
	adduser ansible --disabled-password \
	--gecos "" --quiet
	mkdir -p /home/ansible/.ssh
	echo "$PUBKEY" \
	> /home/ansible/.ssh/authorized_keys

	Just a quick test of squashfs compression ratio using different settings.

	I am looking for relatively good and fast compression, that also is quick to decompress.
	I don't care about ultimate end size exactly tho.

	Input (a Debian testing live build with 6240 installed packages):

	$ sudo du -bs ./chroot
	26566785410 ./chroot # 26.6GB
	$