Sofa SlumberDemon

NixOS on UTM for Apple Silicon: Portable Configuration Research

Overview

Creating portable, automated NixOS VMs on Apple Silicon Macs using UTM virtualization.

Key Projects

1. ciderale/nixos-utm ⭐21

URL: https://github.com/ciderale/nixos-utm Purpose: Automate creation of UTM-based NixOS VMs

Recently, I learned that some of the top reward models on RewardBench were trained on a preference dataset that has unintentional contamination with the benchmark. The dataset, Skyworks Preferences 80k contains contamination by mixing a Magpie dataset in. Magpie is a new method for having language models generate instructions by prompting them with an empty chat template. The source for the Skyworks dataset that was contaminated is Argilla/magpie-ultra-v0.1, generated with Llama 3.1 405B Instruct. I would never expect a Magpie dataset to be contaminated.

What seems likely is that Meta trained on some these prompts, but the exact provenance of each prompt needs more example. For example, we learned that some of the prompts we used in our LLMBar subsets they got from popular training sets like Al

Caution

As of April 7th 2026, Discord has expressed their intent to crack down on automating quest completion.

Some users have received the following system message:

Use the script at your own risk.

Complete Recent Discord Quest

How to Resize an Image in Github README.md (i.e. Github Flavored Markdown)

Percentage:

<img src="https://user-images.githubusercontent.com/16319829/81180309-2b51f000-8fee-11ea-8a78-ddfe8c3412a7.png" width=50% height=50%>

Pixels:

<img src="https://user-images.githubusercontent.com/16319829/81180309-2b51f000-8fee-11ea-8a78-ddfe8c3412a7.png" width="150" height="280">

	#!/usr/bin/env python3
	# -- coding: utf-8 --
	"""
	KenobiDB is a small document-based DB, supporting simple usage including
	insertion, removal, and basic search.
	Written by Harrison Erd (https://patx.github.io/)
	https://patx.github.io/kenobi/
	"""
	# Copyright Harrison Erd
	#

	import com.google.common.base.Charsets;
	import com.google.common.hash.HashFunction;
	import com.google.common.hash.Hashing;
	import com.google.common.primitives.Longs;

	import java.util.Random;

	public class LootTableRNG {

	private static final HashFunction MD5 = Hashing.md5();

	import SwiftUI

	/**

	### Exercises for the viewer

	- Phase interrupt handling.
	- Use Swift concurrency.
	- Color scheme awareness.
	- Rework animations to be more spring-like à la what shipped in `0.90.0`.

	According to all known laws of aviation, there is no way a bee should be able to fly.
	Its wings are too small to get its fat little body off the ground.
	The bee, of course, flies anyway because bees don't care what humans think is impossible.
	Yellow, black. Yellow, black. Yellow, black. Yellow, black.
	Ooh, black and yellow!
	Let's shake it up a little.
	Barry! Breakfast is ready!
	Coming!
	Hang on a second.
	Hello?

	Agnes en_US # Isn't it nice to have a computer that will talk to you?
	Albert en_US # I have a frog in my throat. No, I mean a real frog!
	Alex en_US # Most people recognize me by my voice.
	Alice it_IT # Salve, mi chiamo Alice e sono una voce italiana.
	Alva sv_SE # Hej, jag heter Alva. Jag är en svensk röst.
	Amelie fr_CA # Bonjour, je m’appelle Amelie. Je suis une voix canadienne.
	Anna de_DE # Hallo, ich heiße Anna und ich bin eine deutsche Stimme.
	Bad News en_US # The light you see at the end of the tunnel is the headlamp of a fast approaching train.
	Bahh en_US # Do not pull the wool over my eyes.
	Bells en_US # Time flies when you are having fun.