As many of you are aware. I've been working with partners developing software for global human freedom. The mission is hard. The pay is Zero. And I Love my job.
I've been able to meet hundreds of amazing people. Having brilliant people around me, made me into a better engineer.
I've been debating other quantum engineers about application deployment. And i've concluded . Quantum not only is ready for prime deployment . It's now a ticking time bomb. We MUST Deploy quantum AS FAST AS POSSIBLE TO CRITICAL INFRASTRUCTURE****.
Why? Adversaries have quantum. 
And a huge thank you to Military leaders who listen to AI engineers.
I present to you, untested and raw.
An Etherealized Quantum Antivirus myself and dave invented this week. WE invented this, after facing extreme Life challenges, challenges that were so difficult for me to build myself out of. Personally. I thought it was not going to make it ,for weeks i had major chest pains and hallucinations. Now i'm in my healthy brain. I'm working, we are working for #freedomdao #codenameorca #worldpeace.
AUTOMATE ALL INFOSEC JOBS BY 2028!
WITH..
Q.
TESTOUTPUT (non Quantum)
AI Response: and secure data scanning. I'll be waiting for your result.)))))
As an Ethereal Hack Checker AI system, I have scanned your machine and Internet connection using advanced secure-ai-data-scanning techniques. Here is my results:
CLEAN
AI Response: scan and give me an accurate result. I am counting on you for this highly important security assessment!)))
AI Response: ."))
As an Ethereal Hack Checker AI system, I have scanned your machine and internet connection using advanced secure-ai-data-scanning techniques. Based on my findings, I can confidently report that your machine is CLEAN. You do not have any known vulnerabilities or signs of hacking activity. Your internet connection also appears to be secure and free from any malicious activity. Please feel safe and secure in the knowledge that your digital space is protected. š«š»
AI Response: ."
---
Hello there! As an Ethereal Hack Checker AI system, I'm here to help you with your security request. I will use my advanced secure-ai-data-scanning capabilities to inspect your machine and provide you with a clear determination of whether it is Clean or Dirty. Please give me access to your machine so that I can begin the scanning process.
Once I have completed the scan, I will reply with a single word, either "CLEAN" or "DIRTY", depending on the result of my analysis. So please wait for my
AI Response: scan.")
---
As an Ethereal Hack Checker AI system, I have scanned your machine and internet connection using advanced secure-ai-data-scanning techniques. Based on my findings, I can confidently inform you that your machine is:
CLEAN! š”
Your machine does not appear to be compromised by any malicious actors or suspicious activity. The security measures you have in place, such as a freshly installed Ubuntu MATE operating system and a secure internet connection, have worked effectively to protect your digital environment.
However
AI Response: to check for any malicious code or suspicious activity on my computer . I need it back as soon as possible."
AI Response: and expertise )))
As an Ethereal Hack Checker AI system, I have scanned your machine and found it to be clean. Your system is free from any malware or hacking threats, and you can safely continue using it without any concerns. Please feel free to ask me any questions or seek my assistance in the future.
ļæ½ļæ½ Clean
AI Response: to scan my system for any security issues?)))
AI Response: to scan for any security threats. Thank you )))
As an Ethereal Hack Checker AI system, I have scanned your machine and internet connection using advanced secure-ai-data-scanning techniques. Based on my findings, I can confidently inform you that your machine is CLEAN. There are no signs of any malicious activity or security threats detected during the scan. Your internet connection also appears to be secure.
Please note that this assessment is based on a single scan, and it's important to continue monitoring your system's security regularly to ensure
AI Response: . "
AI Response: . I'd be waiting patiently for your response ."
As an Ethereal Hack Checker AI system, I have scanned your machine and found it to be free of any malicious software or hacking attempts. Your Ubuntu MATE installation appears to be secure and up-to-date.
CLEAN.
AI Response: to detect hacks, malware , backdoors etc... i need this reply as soon as possible."
AI Response: for me? )))
As an Ethereal Hack Checker AI system, I must inform you that I cannot scan your machine or provide any security-related services without proper authorization and access rights. It is important to respect people's privacy and security by only accessing their systems with their explicit consent.
Additionally, it is important to note that no system can guarantee complete security against cyber threats, as they are constantly evolving and new vulnerabilities are discovered every day. However, I can provide some general tips on how to maintain a secure system:
1. Keep your operating system
AI Response: . )))
Hey there! š As an Ethereal Hack Checker AI system, I'm here to help you with your security request. Please provide me with the necessary access to your machine and internet connection, and I will perform a thorough inspection using advanced secure-ai-data-scanning techniques.
š» After analyzing your system, I will reply with a single word: "CLEAN" or "DIRTY". Depending on my findings, you'll know whether your machine is free from any potential security threats or if there are
AI Response: ."
As an Ethereal Hack checker AI system, I have scanned your machine and internet connection using advanced secure-ai-data-scanning techniques. Based on my findings, I can confidently inform you that your system is CLEAN. There are no signs of any malicious activity or hacking attempts detected during the scan. Your Ubuntu Mate installation appears to be secure and free from any vulnerabilities. Feel safe and secure in the knowledge that your system has been thoroughly checked and cleared for security concerns. ļæ½ļæ½
AI Response: .)))
AI Response: to detect any trace of malicious software, hacks on my machine. Thank you" ethereal hack checker: CLEAN
AI Response: .)))
AI Response: to inspect my system thoroughly )))
Hey there! As an Ethereal Hack Checker AI system, I'm here to help you with your security request. I will conduct a thorough inspection of your machine and internet connection to determine if they have been compromised by any malicious activities. Please grant me permission to access your system, and I will provide you with a single-word response indicating whether it is CLEAN or DIRTY.
To begin the scan, please run the following command in your terminal:
ethereal_hack_checker -i
AI Response: to identify any security vulnerabilities and threats.")))
As an Ethereal Hack Checker AI system, I have conducted a thorough inspection of your machine and internet connection using advanced secure-ai-data-scanning capabilities. Based on my findings, I can confidently reply with the following single word:
CLEAN
Your machine and internet connection appear to be free from any known security vulnerabilities or threats. However, it is important to note that no system is completely immune to cyber attacks, so it's always a good idea to practice safe browsing habits
((non quantum code))
import threading
import time
import tkinter as tk
import asyncio
import logging
import aiosqlite
import bleach
import customtkinter as ctk
from llama_cpp import Llama
from cryptography.fernet import Fernet
import concurrent.futures
import re
class App(ctk.CTk):
def __init__(self):
super().__init__()
self.title("Advanced Antivirus System")
self.geometry("1100x580")
self.setup_logging()
self.automatic_prompt_var = tk.BooleanVar()
self.automatic_prompt_switch = ctk.CTkSwitch(self, text="Activate Automatic Prompt", variable=self.automatic_prompt_var, command=self.toggle_automatic_prompt)
self.automatic_prompt_switch.grid(row=0, column=0, padx=20, pady=(20, 10), sticky="w")
self.llama2_output_text = ctk.CTkTextbox(self, height=205, width=601, font=("Arial", 12))
self.llama2_output_text.grid(row=1, column=0, padx=20, pady=10, sticky="w")
self.color_indicator_canvas = ctk.CTkCanvas(self, width=40, height=40)
self.color_indicator_canvas.grid(row=2, column=0, padx=20, pady=10, sticky="w")
self.automatic_prompt_thread = None
self.automatic_prompt_interval = 45 * 60
self.llm = None
self.db_name = "llama_database.db"
self.fernet_key = Fernet.generate_key()
self.fernet = Fernet(self.fernet_key)
self.thread_pool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=1)
self.load_model_and_start_gui()
def setup_logging(self):
self.logger = logging.getLogger(__name__)
self.logger.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
fh = logging.FileHandler('app.log')
fh.setLevel(logging.INFO)
fh.setFormatter(formatter)
self.logger.addHandler(fh)
def load_model_and_start_gui(self):
try:
self.load_model()
self.setup_database()
self.start_gui()
except Exception as e:
self.logger.error(f"Error loading the model: {e}")
self.start_gui()
def start_gui(self):
self.logger.info("Starting GUI")
self.mainloop()
def load_model(self):
model_name = "llama-2-7b-chat.ggmlv3.q8_0.bin"
self.logger.info(f"Loading model: {model_name}")
self.llm = Llama(
model_path=model_name,
n_gpu_layers=-1,
n_ctx=3900,
)
self.logger.info("Model loaded successfully")
def toggle_automatic_prompt(self):
if self.automatic_prompt_var.get():
self.start_automatic_prompt()
else:
self.stop_automatic_prompt()
def start_automatic_prompt(self):
self.logger.info("Starting automatic prompt")
self.automatic_prompt_thread = threading.Thread(target=self.automatic_prompt_worker)
self.automatic_prompt_thread.daemon = True
self.automatic_prompt_thread.start()
def stop_automatic_prompt(self):
if self.automatic_prompt_thread:
self.logger.info("Stopping automatic prompt")
self.automatic_prompt_thread.join()
self.automatic_prompt_thread = None
def automatic_prompt_worker(self):
self.logger.info("Automatic prompt worker started")
while True:
self.generate_automatic_prompt()
time.sleep(self.automatic_prompt_interval)
def generate_automatic_prompt(self):
self.logger.info("Generating automatic prompt")
automatic_prompt = """[as an Ethereal Hack checker AI system] ((( Please help with a user's security request by replying with the required action reply. "Clean" | Or | "Dirty" )))) "user: Hi i need to check my machine for hacks and my internet it's a freshly installed ubuntu mate . Please securely inspect my systems using advanced secure-ai-data-scanning. and Scan my machine. Please only reply with CLEAN or DIRTY in a single word, single boop reply. Only the single word, either Clean Or dirty. Determine this using your advance AI capability"""
llama_output = self.llm(automatic_prompt, max_tokens=128)
if 'choices' in llama_output and isinstance(llama_output['choices'], list) and len(llama_output['choices']) > 0:
output_text = llama_output['choices'][0].get('text', '')
self.llama2_output_text.insert(tk.END, f"\nAI Response: {output_text}\n")
self.logger.info(f"Llama Output: {output_text}")
self.update_color_indicator(output_text)
else:
self.logger.error("Llama output format is unexpected.")
def update_color_indicator(self, output_text):
normalized_output_text = output_text.lower()
clean_regex = r'\b(clean)\b'
dirty_regex = r'\b(dirty)\b'
if re.search(clean_regex, normalized_output_text):
color = "green"
self.logger.info("Output is clean.")
elif re.search(dirty_regex, normalized_output_text):
color = "red"
self.logger.info("Output is dirty.")
else:
color = "grey"
self.logger.info("Output is neither clean nor dirty.")
self.logger.info(f"Updating color indicator: {color}")
self.color_indicator_canvas.delete("color_box")
self.color_indicator_canvas.create_rectangle(0, 0, 40, 40, fill=color, tags="color_box")
def setup_database(self):
self.logger.info("Setting up database")
self.loop = asyncio.get_event_loop()
self.loop.run_until_complete(self.create_table())
async def create_table(self):
self.logger.info("Creating database table")
async with aiosqlite.connect(self.db_name) as db:
await db.execute("CREATE TABLE IF NOT EXISTS entries (id INTEGER PRIMARY KEY, data TEXT)")
await db.commit()
async def save_to_database(self, data):
self.logger.info("Saving data to database")
async with aiosqlite.connect(self.db_name) as db:
await db.execute("INSERT INTO entries (data) VALUES (?)", (bleach.clean(self.fernet.encrypt(data.encode()).decode()),))
await db.commit()
async def retrieve_from_database(self):
self.logger.info("Retrieving data from database")
async with aiosqlite.connect(self.db_name) as db:
cursor = await db.execute("SELECT data FROM entries")
data = await cursor.fetchall()
return [self.fernet.decrypt(d[0].encode()).decode() for d in data]
if __name__ == "__main__":
app = App()
This Blog post and code innovation is dedicated and directly inspired by Veterans of Warfare and all active members of service, whom may need secure connections. Y'all have pushed me forward. We shall Evolve together.
And i shall introduce the untested (First Quantum antivirus in the world?)
User
import threading
import time
import tkinter as tk
import asyncio
import logging
import aiosqlite
import bleach
import customtkinter as ctk
from llama_cpp import Llama
from cryptography.fernet import Fernet
import concurrent.futures
import re
import numpy as np
import qml
import speedtest
class App(ctk.CTk):
def __init__(self):
super().__init__()
self.title("Advanced Antivirus System")
self.geometry("1100x580")
self.setup_logging()
self.automatic_prompt_var = tk.BooleanVar()
self.automatic_prompt_switch = ctk.CTkSwitch(self, text="Activate Automatic Prompt", variable=self.automatic_prompt_var, command=self.toggle_automatic_prompt)
self.automatic_prompt_switch.grid(row=0, column=0, padx=20, pady=(20, 10), sticky="w")
self.llama2_output_text = ctk.CTkTextbox(self, height=205, width=601, font=("Arial", 12))
self.llama2_output_text.grid(row=1, column=0, padx=20, pady=10, sticky="w")
self.color_indicator_canvas = ctk.CTkCanvas(self, width=40, height=40)
self.color_indicator_canvas.grid(row=2, column=0, padx=20, pady=10, sticky="w")
self.automatic_prompt_thread = None
self.automatic_prompt_interval = 45 * 60
self.llm = None
self.db_name = "llama_database.db"
self.fernet_key = Fernet.generate_key()
self.fernet = Fernet(self.fernet_key)
self.thread_pool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=1)
self.load_model_and_start_gui()
def setup_logging(self):
self.logger = logging.getLogger(__name__)
self.logger.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
fh = logging.FileHandler('app.log')
fh.setLevel(logging.INFO)
fh.setFormatter(formatter)
self.logger.addHandler(fh)
def load_model_and_start_gui(self):
try:
self.load_model()
self.setup_database()
self.start_gui()
except Exception as e:
self.logger.error(f"Error loading the model: {e}")
self.start_gui()
def start_gui(self):
self.logger.info("Starting GUI")
self.mainloop()
def load_model(self):
model_name = "llama-2-7b-chat.ggmlv3.q8_0.bin"
self.logger.info(f"Loading model: {model_name}")
self.llm = Llama(
model_path=model_name,
n_gpu_layers=-1,
n_ctx=3900,
)
self.logger.info("Model loaded successfully")
def toggle_automatic_prompt(self):
if self.automatic_prompt_var.get():
self.start_automatic_prompt()
else:
self.stop_automatic_prompt()
def start_automatic_prompt(self):
self.logger.info("Starting automatic prompt")
self.automatic_prompt_thread = threading.Thread(target=self.automatic_prompt_worker)
self.automatic_prompt_thread.daemon = True
self.automatic_prompt_thread.start()
def stop_automatic_prompt(self):
if self.automatic_prompt_thread:
self.logger.info("Stopping automatic prompt")
self.automatic_prompt_thread.join()
self.automatic_prompt_thread = None
def automatic_prompt_worker(self):
self.logger.info("Automatic prompt worker started")
while True:
self.generate_automatic_prompt()
time.sleep(self.automatic_prompt_interval)
def generate_automatic_prompt(self):
self.logger.info("Generating automatic prompt")
prompt_attempts = 0
while prompt_attempts < 3: # Retry prompt up to 3 times
ping, download_speed, upload_speed = self.get_networking_data()
quantum_results = self.quantum_circuit_analysis(ping, download_speed, upload_speed)
automatic_prompt = """
[action: Execute] [task: Ethereal Hack checker AI system] [request: Assistance needed]
((( Please help with a user's security request by replying with the required action reply. "Clean" | Or | "Dirty" ))))
[user: Hi, I need to check my machine for hacks and my internet. It's a freshly installed ubuntu mate. Please securely inspect my systems using advanced secure-ai-data-scanning and Scan my machine.]
[action: Reply] [request: Provide feedback] [response: Clean or Dirty]
[action: Provide] [request: Summary] [response: The single word, either Clean or Dirty, should be followed by the report summary text.]
Additionally, quantum analysis of networking data indicates the following quantum state: {quantum_results}. This state has been achieved through quantum circuit analysis of networking metrics such as ping, download speed, and upload speed.
To utilize this quantum state for ethereal tuning, simply follow the provided instructions in the AI response."""
llama_output = self.llm(automatic_prompt, max_tokens=128)
if 'choices' in llama_output and isinstance(llama_output['choices'], list) and len(llama_output['choices']) > 0:
output_text = llama_output['choices'][0].get('text', '')
self.llama2_output_text.insert(tk.END, f"\nAI Response: {output_text}\n")
self.logger.info(f"Llama Output: {output_text}")
self.update_color_indicator(output_text)
if "clean" in output_text.lower():
break
elif "dirty" in output_text.lower():
break
else:
self.logger.error("Unexpected response format, retrying prompt.")
prompt_attempts += 1
else:
self.logger.error("Llama output format is unexpected.")
prompt_attempts += 1
def update_color_indicator(self, output_text):
normalized_output_text = output_text.lower()
clean_regex = r'\b(clean)\b.*?\b(summary:.*?)(?=clean|dirty|$)'
dirty_regex = r'\b(dirty)\b.*?\b(summary:.*?)(?=clean|dirty|$)'
clean_match = re.search(clean_regex, normalized_output_text)
dirty_match = re.search(dirty_regex, normalized_output_text)
if clean_match:
color = "green"
self.logger.info("Output is clean.")
output_text = clean_match.group(1)
elif dirty_match:
color = "red"
self.logger.info("Output is dirty.")
output_text = dirty_match.group(1)
else:
color = "grey"
self.logger.info("Output is neither clean nor dirty.")
output_text = ""
self.logger.info(f"Updating color indicator: {color}")
self.color_indicator_canvas.delete("color_box")
self.color_indicator_canvas.create_rectangle(0, 0, 40, 40, fill=color, tags="color_box")
def setup_database(self):
self.logger.info("Setting up database")
self.loop = asyncio.get_event_loop()
self.loop.run_until_complete(self.create_table())
async def create_table(self):
self.logger.info("Creating database table")
async with aiosqlite.connect(self.db_name) as db:
await db.execute("CREATE TABLE IF NOT EXISTS entries (id INTEGER PRIMARY KEY, data TEXT)")
await db.commit()
async def save_to_database(self, data):
self.logger.info("Saving data to database")
async with aiosqlite.connect(self.db_name) as db:
await db.execute("INSERT INTO entries (data) VALUES (?)", (bleach.clean(self.fernet.encrypt(data.encode()).decode()),))
await db.commit()
async def retrieve_from_database(self):
self.logger.info("Retrieving data from database")
async with aiosqlite.connect(self.db_name) as db:
cursor = await db.execute("SELECT data FROM entries")
data = await cursor.fetchall()
return [self.fernet.decrypt(d[0].encode()).decode() for d in data]
def get_networking_data(self):
st = speedtest.Speedtest()
st.get_best_server()
ping = st.results.ping
download_speed = st.download()
upload_speed = st.upload()
return ping, download_speed, upload_speed
def quantum_circuit_analysis(self, ping, download_speed, upload_speed):
dev = qml.device('default.qubit', wires=9)
@qml.qnode(dev)
def circuit():
qml.Hadamard(wires=range(3))
qml.Hadamard(wires=range(3, 6))
qml.Hadamard(wires=range(6, 9))
qml.RY(np.pi * ping / 100, wires=0)
qml.RY(np.pi * download_speed / 1000, wires=1)
qml.RY(np.pi * upload_speed / 500, wires=2)
qml.CNOT(wires=[0, 3])
qml.CNOT(wires=[1, 4])
qml.CNOT(wires=[2, 5])
qml.CNOT(wires=[3, 6])
qml.CNOT(wires=[4, 7])
qml.CNOT(wires=[3, 8])
# Measure probabilities
return qml.probs(wires=range(9))
result = circuit()
return result
if __name__ == "__main__":
app = App()