nanocosmos - Oliver Lietz nanocosmos-ol

Was kann man mit kleinen Kinder unternehmen in (vorwiegend Ost-)Berlin?

Drinnen (besonders bei Regen oder im Winter)

MACHmit! Museum
ANOHA - Die Kinderwelt des Jüdischen Museums Berlin
Labyrinth Kindermuseum
FEZ-Berlin - Das FEZ-Berlin ist Europas größtes gemeinnütziges Kinder-, Jugend- und Familienzentrum
Deutsches Technikmuseum Berlin - Freier Eintritt unter 18
Ludothek Prenzlauer Berg - ein Familienzentrum und insbesondere ein Spiel- und Begegnungsort für Kinder

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

This gist is intended to help you deal with the following error messages:

This gist has four parts. The instructions you should follow depend on what you want to do:

| Part | Explains how to |

	<?
	# MIT license, do whatever you want with it
	#
	# This is my invoice.php page which I use to make invoices that customers want,
	# with their address on it and which are easily printable. I love Stripe but
	# their invoices and receipts were too wild for my customers on Remote OK
	#

	require_once(__DIR__.'/../vendor/autoload.php');

	https://www.verkehr.nrw/webcams/10100022103870128212.jpg
	https://www.verkehr.nrw/webcams/10100253688674747061.jpg
	https://www.verkehr.nrw/webcams/10100308460257231676.jpg
	https://www.verkehr.nrw/webcams/10100453176019429802.jpg
	https://www.verkehr.nrw/webcams/10100494175154602454.jpg
	https://www.verkehr.nrw/webcams/10100597366060758617.jpg
	https://www.verkehr.nrw/webcams/10100909830981984257.jpg
	https://www.verkehr.nrw/webcams/10100956863457840062.jpg
	https://www.verkehr.nrw/webcams/10100973958359842825.jpg
	https://www.verkehr.nrw/webcams/10101043834463572886.jpg

	<!DOCTYPE html>
	<html>

	<head>
	<meta charset="UTF-8">
	<title>360 Video Player</title>
	</head>

	<body>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js"></script>

	"""
	Toy demonstration of chain-of-thought and consensus prompting using OpenAI API.

	© Riley Goodside 2022
	"""

	import os
	import re
	from statistics import mode

	#pip install git+https://github.com/huggingface/transformers.git

	import datetime
	import sys
	from transformers import pipeline
	from transformers.pipelines.audio_utils import ffmpeg_microphone_live

	pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=0)
	sampling_rate = pipe.feature_extractor.sampling_rate