Christian W. CWCorrea
ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?
I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.
| $ grep -P "^[ABCDEFabcdefOoIi]{6,6}$" /usr/share/dict/words | tr 'OoIi' '0011' | tr '[:lower:]' '[:upper:]' | awk '{print "#" $0}' | |
| #ACAD1A | |
| #B0BB1E | |
| #DEBB1E | |
| #AB1DED | |
| #ACAC1A | |
| #ACCEDE | |
| #AC1D1C | |
| #BAB1ED | |
| #BA0BAB |
I wanted my iPad Pro to be able to use the Magic Keyboard in portrait mode, but the current Smart Connector configuration does not allow this. With too much time on my hands, I made a short jumper cable using a section of USB cable, 5-pin POGO connectors (the 5-pin works using pins 1, 3, and 5, and removing pins 2 and 4), a small electrical project box, 3mm N52 magnets, and some epoxy and Sugru to pack everything into place. My cable and connections orientation had more to do with the boxes I found to encase the connector (with holes on the small end) than anything else. Obviously, there will be many ways to do this.
Note: These measurements are for the 12.9" (2020) model. The magnets did not line up and the polarity was different for my wife's iPad Pro 11" (2021).
This tutorial is aimed for those who have little to no programming knowledge, so I will cover the basic programming principles here.
I will use a unfold approach, so in order to make it easier to understand, I will sometimes give approximated definitions for each concept and try my best to bring the precise definitions until the end of the course.
Sometimes we need to add redundancy to some service or server which happen to be a public-facing entry point of our infrastructure. For example, imagine we want to add a high availability pair for a load balancer which sits on the edge of network and forwards traffic to alive backend servers.
┌─────────────┐
│ │
┌─────►│ Backend 1 │
│ │ │
│ └─────────────┘
| GitHub changed the world of open-source. | |
| In the beginning it brought together the disconnected programmers who always wanted to work on something with other like-minded people. | |
| In the present it's no longer the foreground. Businesses and professionals connect and the profiles become a bragging ground. | |
| The GH PR system is stretched to its limits. During the early days this was ok: PRs were few and far between. It worked. | |
| I've changed, and so has GitHub. As I grow older I care more about my impact and personal data responsibility. I care about FOSS work being used for profit. |
| # Klein Tools TI250 image tool by Scott Smitelli. Public domain. | |
| # Requires at least Python 3.6 (developed and tested on 3.9) | |
| # See https://www.scottsmitelli.com/articles/klein-tools-ti250-hidden-worlds | |
| import argparse | |
| import numpy as np | |
| import re | |
| import struct | |
| from PIL import Image, ImageDraw |
