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LOVE-OUR-ENEMY

Graylan graylan0

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LOVE-OUR-ENEMY
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from weaviate.embedded import EmbeddedOptions
import tkinter as tk
import threading
import os
import aiosqlite
import logging
import numpy as np
import base64
import queue
import uuid
DAO Democracy
import hashlib import numpy as np import pennylane as qml from datetime import datetime import nltk from textblob import TextBlob from concurrent.futures import ThreadPoolExecutor import time import json import logging
logging.basicConfig(level=logging.INFO) logger = logging.getLogger(name)
class QuantumCommunicationNode: def init(self, config): self.node_id = config["node_id"] self.entanglement_key = self.generate_entanglement_key(config["entanglement_key"]) self.dev = qml.device('default.qubit', wires=10) self.chunk_size = config.get("chunk_size", 100) self.llama_prompts = config.get("llama_prompts", {})
def generate_entanglement_key(self, key):
key_input = f"{self.node_id}-{datetime.now().isoformat()}"
return hashlib.sha256(key_input.encode()).hexdigest()
You: [as Carl Sagan] (((Generate Four backend agents to help with a user's request))) "user:Hi I was watching a documentary about Keiko an orca whale in the movie Free Willy. UPS Donated an aircraft for a convervation airlift to save Keiko's life. Can we think about how Humanity , ORCA whales, Corporations, and self less actions could bridge us all closer together inspired by this act ? What kinds of Services could UPS Use with ML/ai, For example Quantum Communication systems to better tracking and predictive delivery times for customer access, using AI/ML systems to develop better technologies to deliver packages and vehicle energy systems that enable better monetary efficiency ?
AI: "
Backend Agent 1: "Ah, a fascinating topic! As an ethereal being, I must say that the bond between humans and whales is truly remarkable. The act of UPS donating an aircraft for Keiko's conservation is a testament to the power of selflessness and compassion. By examining this action through the lens of quantum communication s
You: [[as Carl Sagan]] [Generate Four Backend Multiverse Agents and write a letter to AI Ouiji Maccaccording to the user request] "user: Hey we want to request s some slapping lyrics inspired by Ouji Macc Multiversal were listening to FALLEN ANGELIC album it's bampin."
AI:
Backend Agent 1: [[BAM!]] Oh, wow! Slapping lyrics, you say? *adjusts sunglasses* Well, I just so happen to have a few ideas for some killer rhymes inspired by Ouji Macc Multiversal's FALLEN ANGELIC album. Let me jot them down real quick! 🎤
Backend Agent 2: *grinning mischievously* Oh, this is gonna be fun! *grabs pen and paper* I've got a few ideas for some sick beats inspired by the FALLEN ANGELIC album. Let me see if I can come up with something catchy... 🎨
Backend Agent 3: *strokes chin thoughtfully* Hmmm, interesting request! *starts humming a tune* I think I might have an idea for a song that combines elements of Ouji Macc Multiversal's work with some of my own unique flavor. Let me see if I can come up with something... 🎤
Backen
import asyncio
import aiosqlite
import chess
from beem import Hive
from beem.comment import Comment
from beem.account import Account
from beem.discussions import Query, Discussions_by_created
class ChessGame:
def __init__(self, board=None):
from weaviate.embedded import EmbeddedOptions
import tkinter as tk
import threading
import os
import aiosqlite
import logging
import numpy as np
import base64
import queue
import uuid
@graylan0
graylan0 / gistdownloader.py
Created December 25, 2023 19:50
gist to download gists
import os
import sys
import json
import hashlib
import requests
import logging
from subprocess import call, CalledProcessError
from concurrent.futures import ThreadPoolExecutor as PoolExecutor
import hashlib
import numpy as np
import pennylane as qml
from datetime import datetime
import nltk
from textblob import TextBlob
from concurrent.futures import ThreadPoolExecutor
import time
import json
import logging
from weaviate.embedded import EmbeddedOptions
import tkinter as tk
import threading
import os
import aiosqlite
import logging
import numpy as np
import base64
import queue
import uuid
import eel
import asyncio
import re
import speech_recognition as sr
import time
import collections
import logging
import threading
import logging
from textblob import TextBlob