Nico Weber nico

Helping your 'old' PC build faster with your mobile device

It all happened when I decided to run Geekbench 5 on my phone: surprisingly the single-core performance matched my 'old'¹ Pentium T3200 and surpassed it in multicore. Since I've been having fun with distcc for the last few days, I asked myself: 'Can my phone really help my old laptop build faster? nah, hard to believe... but let's try'.

Without further ado: YES. Not only can my phone be faster, but it can significantly help in the build process, I believe the results below speak for themselves:

Building Git (#30cc8d0) on a Pentium T3200, 8m30s

Building Git (#30cc8d0) on a Pentium T3200 (2x 2.0 GHz)+ Snapdragon 636 (4x1.8 + 4x1.6 GHz), 2m9s

Risk Assessment of GitHub Copilot

0xabad1dea, July 2021

this is a rough draft and may be updated with more examples

GitHub was kind enough to grant me swift access to the Copilot test phase despite me @'ing them several hundred times about ICE. I would like to examine it not in terms of productivity, but security. How risky is it to allow an AI to write some or all of your code?

Ultimately, a human being must take responsibility for every line of code that is committed. AI should not be used for "responsibility washing." However, Copilot is a tool, and workers need their tools to be reliable. A carpenter doesn't have to

	# Clone llama.cpp
	git clone https://github.com/ggerganov/llama.cpp.git
	cd llama.cpp

	# Build it
	make clean
	LLAMA_METAL=1 make

	# Download model
	export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

	" Pick a different highlighting group by adding this in your vimrc:
	"
	" highlight link fuzzyMatch <group>
	"
	" The "default" only makes the link if it's not already set.
	"
	highlight default link fuzzyMatch Search

	" The components of the command definition:
	"

	#!/usr/bin/env python3

	# pip3 install pillow
	# pip3 install requests

	import base64
	import io
	import json
	import requests
	import time

	// =============================================================================
	// XNU kperf/kpc demo
	// Available for 64-bit Intel/Apple Silicon, macOS/iOS, with root privileges
	//
	//
	// Demo 1 (profile a function in current thread):
	// 1. Open directory '/usr/share/kpep/', find your CPU PMC database.
	// M1 (Pro/Max/Ultra): /usr/share/kpep/a14.plist
	// M2 (Pro/Max): /usr/share/kpep/a15.plist
	// M3: /usr/share/kpep/as1.plist

	/*
	* Copyright (C) 2021 Alyssa Rosenzweig <[email protected]>
	*
	* Permission is hereby granted, free of charge, to any person obtaining a
	* copy of this software and associated documentation files (the "Software"),
	* to deal in the Software without restriction, including without limitation
	* the rights to use, copy, modify, merge, publish, distribute, sublicense,
	* and/or sell copies of the Software, and to permit persons to whom the
	* Software is furnished to do so, subject to the following conditions:
	*

	#!/usr/bin/env python3

	# Put this file in Meta/

	from collections import defaultdict, Counter
	import os
	import random
	import re
	import subprocess
	import sys

	( User Mathematica initialization file )

	( See https://reference.wolfram.com/language/tutorial/ConfigurationFiles.html for info on instaling this file )

	( Display graphics inline in iTerm2. I don't know an easy way to test if we're running in iTerm2 without looking at the process table. )

	imgcat[image_Graphics]:=(
	WriteString[$Output, "\033]1337;File=inline=1:"<>ExportString[ExportString[image,"PNG"],"Base64"]<>"\007"];
	Null
	)