Jordan Brant Baker hexsprite
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.
| 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 |
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.
- By Edmond Lau
- Highly Recommended 👍
- http://www.theeffectiveengineer.com/
in OS X 10.4 to macOS sierra 10.12 and maybe higher!
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:
| #!/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. |
| // License: MIT, feel free to use it! | |
| const Intercom = require('intercom-client'); | |
| const appId = 'APP_ID' | |
| const apiKey = 'APP_KEY' | |
| const client = new Intercom.Client(appId, apiKey); | |
| const async = require('async-q') | |
| //REF: https://developers.intercom.com/reference#iterating-over-all-users | |
| //WARNING: you can only have one scroll working at once. you need to wait for that scroll to clear to try again |
| .force-show-scrollbars ::-webkit-scrollbar-track:vertical { | |
| border-left: 1px solid #E7E7E7; | |
| box-shadow: 1px 0 1px 0 #F6F6F6 inset, -1px 0 1px 0 #F6F6F6 inset; | |
| } | |
| .force-show-scrollbars ::-webkit-scrollbar-track:horizontal { | |
| border-top: 1px solid #E7E7E7; | |
| box-shadow: 0 1px 1px 0 #F6F6F6 inset, 0 -1px 1px 0 #F6F6F6 inset; | |
| } |
| const lag = true; | |
| const waitingTime = 400; | |
| Meteor.startup(function() { | |
| if (!lag) return; | |
| const rootUrl = process.env.ROOT_URL; | |
| if (rootUrl !== 'http://localhost:3000/') { | |
| return; | |
| } else { |