@cosmoknowledge: An AI civilization might view as as we view bacteria. #Cosmoknowledge #Space #Science #humans #Universe #Astrophysics #Education #aliens #ai #aicivilization #viralvideo #bacteria

Cosmoknowledge
Cosmoknowledge
Open In TikTok:
Region: US
Wednesday 23 July 2025 17:00:00 GMT
6025
211
9
4

Music

Download

Comments

bobsburgersusa
Big Bear Jake 🇨🇦/🇺🇲 :
a civilization of 0.75 is watching this video going huh?
2025-07-24 05:52:04
1
tarzeng911
Tarzen,Gregory, Williams 🙋‍♂️ :
🇺🇸 😀 🇬🇧 ☕️💁‍♂️interesting Point, to some individual's they would be Like God ! 🙋‍♂️
2025-07-24 14:38:34
1
hyjip
Hyjip :
Very funny and interesting. That's like the God civilisation. 😩😂
2025-07-25 03:27:00
0
apple.user7587932
YP 🪙kwame 💎 adams💰💵 :
🥰🥰🥰
2025-07-30 13:34:32
0
sagartandukar1
Sagar Tandukar 10 :
👌
2025-07-27 04:43:29
0
obibajahbless1
Obiba_Jah Bless 🙏🙏 :
😂
2025-07-26 14:30:32
0
citycentermobilerepair15
Citycentermobilerepair15 :
🥰
2025-07-26 12:36:37
0
lukhanyo.lights
Lukhanyo lights :
🔥
2025-07-24 17:12:26
0
3x14982
3x+1 :
import numpy as np import torch import torch.nn as nn from datetime import datetime import matplotlib.pyplot as plt import warnings import dask.array as da from dask.distributed import Client import logging import hashlib import json from flask import Flask, request, jsonify import jwt from functools import wraps import os # Set up logging logging.basicConfig(filename='sws_log.txt', level=logging.INFO) # Simulated user consent database (replace with real system in production) CONSENT_DB = {} # Format: {user_id: {'consented': bool, 'timestamp': datetime}} # Ethical Oversight Module class EthicalOversight: def __init__(self, consent_required=True): self.consent_required = consent_required self.consent_log = [] self.amplitude_threshold = None def set_dynamic_threshold(self, amplitudes): self.amplitude_threshold = np.mean(amplitudes) + 3 * np.std(amplitudes) logging.info(f"Dynamic amplitude threshold set to {self.amplitude_threshold:.2f}") def check_nudging_risk(self, amplitudes, source): if self.amplitude_threshold is None: self.set_dynamic_threshold(amplitudes) if np.max(amplitudes) > self.amplitude_threshold: warnings.warn(f"High amplitude in {source} (max: {np.max(amplitudes):.0f}); potential nudging risk") logging.warning(f"Nudging risk in {source}: max amplitude {np.max(amplitudes):.0f}") return False return True def log_consent(self, user_id, consented): self.consent_log.append((user_id, consented, datetime.now())) logging.info(f"User {user_id} consent: {consented}") CONSENT_DB[user_id] = {'consented': consented, 'timestamp': datetime.now()} class BehaviorPredictor(nn.Module): def __init__(self): super(BehaviorPredictor, self).__init__() self.fc1 = nn.Linear(20, 64) self.fc2 = nn.Linear(64, 32) self.fc3 = nn.Linear(32, 1) self.relu = nn.ReLU() def forward(self, x): x = self.relu(self.fc1(x)) x = self.relu(self.fc2(x)) x = self.fc3(x) return x class GrokArchitecture: def __init__(self): self.conversation_histor
2025-07-27 17:05:30
0
To see more videos from user @cosmoknowledge, please go to the Tikwm homepage.

Other Videos


About