Jordan Brant Baker hexsprite

PostgreSQL is Enough

Chat GPT "DAN" (and other "Jailbreaks")

ChatGPT Resources

Context

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.

Model Architecture

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

What's an Effective Engineer?

Raise Open File Limits in OS X

in OS X 10.4 to macOS sierra 10.12 and maybe higher!

Create Launcher Script:

`/Library/LaunchDaemons/limit.maxfiles.plist`

Copy this entire code block and paste it into your terminal and push Return to create this file for you with correct permissions. It will (probably) ask for your password:

	# OpenClaw Implementation Prompts

	Each prompt below is a self-contained brief you can hand to an AI coding assistant (or use as a project spec) to build that use case from scratch. Adapt the specific services to whatever you already use — the patterns are what matter.

	---

	## 1) Personal CRM Intelligence

	```
	Build me a personal CRM system that automatically tracks everyone I interact with, with smart filtering so it only adds real people — not newsletters, bots, or cold outreach.

	/* Heap based virtual machine described in section 3.4 of Three Implementation Models for Scheme, Dybvig
	*/

	#include <stdio.h>
	#include <stdlib.h>
	#include <string.h>
	#include <ctype.h>
	#include <assert.h>

	char token[128][32];

	APP_NAME=Laravel
	APP_ENV=local
	APP_KEY=
	APP_DEBUG=true
	APP_URL=http://127.0.0.1:8000

	BCRYPT_ROUNDS=4

	DB_CONNECTION=mysql
	DB_HOST=127.0.0.1

	#!/bin/bash
	#
	# This script will convert a Meteor application into a Node.js application
	# then deploy it to AWS Elastic Beanstalk.
	#
	# Run like `deploy_aws.sh my_eb_app my_eb_app-production`.
	#
	# That will deploy the Meteor application containing this script
	# to the `my_eb_app-production` environment of the `my_eb_app` EB application.