levelsio

# 2023-11-27 MIT LICENSE

Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com.

It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town.

Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same!

Send me your ChatGPT text adventure game on X, I'd love to try it!

coolaj86

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

• https://chat.openai.com/
• Is ChatGPT "DAN" Real? Gonna find out [Part 1]
  (https://www.youtube.com/watch?v=-q8woRG9FrI)
• Part 2: I thought ChatGPT DAN was a hoax, but...
  (https://www.youtube.com/watch?v=rHZRrDu3A2U&lc=UgxfrxX8aK7gnCzkend4AaABAg)

veekaybee

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

erikig

spektom

import org.apache.spark.sql.DataFrame

def dataFrameToDDL(dataFrame: DataFrame, tableName: String): String = {
    val columns = dataFrame.schema.map { field =>
        "  " + field.name + " " + field.dataType.simpleString.toUpperCase
    }
    s"CREATE TABLE $tableName (\n${columns.mkString(",\n")}\n)"
}

import spark.sqlContext.implicits._

kittinan

import cv2
import io
import socket
import struct
import time
import pickle
import zlib

client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client_socket.connect(('192.168.1.124', 8485))

hakanilter

#!/bin/bash

# install git
sudo yum install git

# maven
sudo wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo
sudo sed -i s/\$releasever/6/g /etc/yum.repos.d/epel-apache-maven.repo
sudo yum install -y apache-maven
mvn --version

pimatco

import { BrowserModule } from '@angular/platform-browser';
import { NgModule } from '@angular/core';


import { AppComponent } from './app.component';

//Angular Material Components
import {BrowserAnimationsModule} from '@angular/platform-browser/animations';
import {MatCheckboxModule} from '@angular/material';
import {MatButtonModule} from '@angular/material';

apeletz512

def build_hive_ddl(
        table_name, object_schema, location, file_format, partition_schema=None, verbose=False):
    """
    :param table_name: the name of the table you want to register in the Hive metastore    
    :param object_schema: an instance of pyspark.sql.Dataframe.schema
    :param location: the storage location for this data (and S3 or HDFS filepath)
    :param file_format: a string compatible with the 'STORED AS <format>' Hive DDL syntax
    :param partition_schema: an optional instance of pyspark.sql.Dataframe.schema that stores the
    columns that are used for partitioning on disk
    :param verbose:

colophonemes

CREATE TRIGGER person_notify AFTER INSERT OR UPDATE OR DELETE ON income
FOR EACH ROW EXECUTE PROCEDURE notify_trigger(
  'id',
  'email',
  'username'
);

CREATE TRIGGER income_notify AFTER INSERT OR UPDATE OR DELETE ON income
FOR EACH ROW EXECUTE PROCEDURE notify_trigger(
  'id',