Nick Powell nmpowell

The included script 'widevine-flash_armhf.sh' fetches a ChromeOS image for ARM and extracts the Widevine and Flash binaries, saving them in a compressed archive. Since it downloads a fairly large file (2Gb+ on disk after download) it is recommended that you run the script on a raspberry that has plenty of disk space.

The files in the compressed archive are copied to the folder /usr/lib/chromium-browser/ To run the file just type the following:

sudo ./widevine-flash_armhf.sh

Check out this tutorial: https://lemariva.com/blog/2020/06/raspberry-pi-amazon-prime-netflix-and-drm-solution

How to use:

./wordle.sh

Or try the unlimit mode:

kamal

This documentation adds important additions to the docs for kamal deploy tool (see github.com/basecamp/kamal)

Destination flag

You can use kamal deploy --destination staging

This will read config/deploy.yml and config/deploy.staging.yml files, and also will read .env.staging file if it exists.

Meta Prompting

In the Generative AI Age your ability to generate prompts is your ability to generate results.

Guide

Claude 3.5 Sonnet and o1 series models are recommended for meta prompting.

Replace {{user-input}} with your own input to generate prompts.

Use mp_*.txt as example user-inputs to see how to generate high quality prompts.

	#!/bin/bash

	# Bash script to control a TPLink HS110 or HS100 smart plug.

	# Usage: $0 -u username -p password -d "?" => list devices, and should output token.
	# Usage: $0 -t <token> -d <device_id> -o off => turn off..
	# Usage: $0 -t <token> -d <device_id> -o off => turn on..

	# Default action is to turn the first device found off.

	import argparse
	import importlib
	import logging
	import os
	import sys

	def main(args=None):
	scriptname = os.path.basename(__file__)
	parser = argparse.ArgumentParser(scriptname)
	levels = ('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL')

	const defaultTheme = require('tailwindcss/defaultTheme');

	module.exports = {
	purge: [
	'./vendor/laravel/framework/src/Illuminate/Pagination/resources/views/*.blade.php',
	'./storage/framework/views/*.php',
	'./resources/views/*/.blade.php',
	'./resources/js/*/.vue',
	],

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Fullscreen Image Viewer</title>
	<style>
	body {
	font-family: Arial, sans-serif;
	}

	# /// script
	# dependencies = [
	# "SpeechRecognition",
	# "mlx-whisper",
	# "pyaudio",
	# ]
	# ///

	import speech_recognition as sr
	import numpy as np