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Keyboard-only Mac Cheatsheet

Hi, I'm Lorna and I don't use a mouse. I have had RSI issues since a bad workstation setup at work in 2006. I've tried a number of extra hardware modifications but what works best for me is to use the keyboard and only the keyboard, so I'm in a good position and never reaching for anything else (except my coffee cup!). I rather unwisely took a job which required me to use a mac (I've been a linux user until now and also had the ability to choose my tools carefully) so here is my cheatsheet of the apps, tricks and keyboard shortcuts I'm using, mostly for my own reference. Since keyboard-only use is also great for productivity, you may also find some of these ideas useful, in which case at least something good has come of this :)

Apps List

There's more detail on a few of these apps but here is a quick overview of the tools I've installed and found helpful

Tool	Link	Comments

Complete Recent Discord Quest

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Accept the quest under User Settings -> Gift Inventory

Sentient Systems Architecture (SSA): Unlocking Embodied Intelligence

Introduction

Artificial Intelligence (AI) has evolved rapidly, with language models like GPT-4 capturing attention. However, the real future of AI lies in embodied intelligence—systems that can interact with the physical world through robotics and sensory perception. Unlike disembodied language models that operate in digital spaces, embodied AI must navigate complex environments, interpret sensory data, and perform physical tasks. This shift towards embodied intelligence opens the door to groundbreaking applications and significant economic impact.

Unique Challenges of Embodied Intelligence

Developing embodied AI systems is far more complex than working with traditional language models. Embodied agents need to:

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Game</title>
	<style>
	body {
	margin: 0;
	overflow: hidden;

	import numpy as np
	import pandas as pd
	import matplotlib.pyplot as plt
	import scipy.optimize as sco
	from quotes import tickers

	df = pd.read_pickle("quotes.pkl")

	logrets = np.log(df / df.shift(1))
	rmean = logrets.mean() * 365

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>2D Platformer Game</title>
	<style>
	canvas {
	border: 1px solid black;
	display: block;

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Z-Index Example</title>
	<style>
	@font-face {
	font-family: 'Win95F';
	src: url('data:application/font-woff2;base64,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

	/*
	* John Conway's Game of Life.
	*
	* This is written for POSIX, using Curses. Resizing of the terminal is not
	* supported.
	*
	* By convention in this program, x is the horizontal coordinate and y is
	* vertical. There correspond to the width and height respectively.
	* The current generation number is illustrated when show_generation is set.
	*

	import {
	mobile,
	backend,
	creator,
	web,
	javascript,
	typescript,
	html,
	css,
	reactjs,