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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 |
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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() |
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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 |
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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 |
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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): |
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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 |
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import os | |
import sys | |
import json | |
import hashlib | |
import requests | |
import logging | |
from subprocess import call, CalledProcessError | |
from concurrent.futures import ThreadPoolExecutor as PoolExecutor |
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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 |
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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 |
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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 |