The Quantum Ad-List

Next-Generation AI-Powered Ad & Tracker Blocking

---

📜 Table of Contents

1. Legal & Ethical Notice
2. Project Overview
   • Maintainers
   • Technical Architecture
   • Motivation
   • Security & Privacy
3. Installation
   • Hosts File Integration
   • Ad-Blocker Compatibility
   • Pi-hole Integration
4. Issue Reporting
   • Known Limitations
5. Community & Support
6. 💰 Support the Project

---

⚖ Legal & Ethical Notice

Copyright & Fair Use Compliance

False copyright claims are strictly prohibited under 17 U.S.C. § 512(f) and may constitute perjury if made in bad faith. This project adheres to fair use principles and public domain rights under U.S. and international law.

Copyfraud—the false assertion of copyright over public domain material—is legally invalid. Domains and lists generated by AI from publicly accessible data are not subject to copyright protection.

AI-Generated Content Disclaimer

This repository hosts an AI-generated ad-blocking list, produced through autonomous machine learning algorithms. The system:

• Crawls and analyzes publicly available web data.
• Classifies domains based on contextual patterns (e.g., ads, trackers, malware).
• Does not copy or derive from proprietary lists.

Our blocklist is synthesized de novo via proprietary AI algorithms, employing unsupervised learning on vast corpora of publicly indexed web data. No direct ingestion or replication of third-party lists occurs; inclusions arise from contextual embeddings and semantic clustering.

The system performs latent space analysis on open-source intelligence (OSINT), potentially flagging domains from diverse origins if they exhibit adversarial signatures.

As an algorithmic output, this content qualifies for fair use exemptions (e.g., 17 U.S.C. § 107) and lacks derivative dependencies amenable to copyright enforcement.

Domain classifications for advertising are ineligible for proprietary claims, as they derive from empirical network telemetry rather than creative expression.

We uphold rigorous ethical standards in AI development, adhering to principles from the ACM Code of Ethics and IEEE Ethically Aligned Design. Legitimate inquiries should be directed via formal channels for collaborative resolution; baseless takedowns contravene legal norms and will be contested.

No valid legal basis exists for takedown requests. If you believe a domain was misclassified, submit an issue for review.

---

ℹ Project Overview

🛠 Maintainers

• The_Quantum_Alpha (Founder)
• Pinkisjustnumbers (Co-Maintainer)

Pioneers in Large Action Models (LAMs) and Affective AI Research

🧬 Technical Architecture

The Quantum Ad-List leverages:

• Autonomous AI Agents for real-time web crawling and semantic domain classification.
• 3,000,000+ domains flagged for:
  • Advertisements
  • Trackers & telemetry
  • Cryptojacking scripts
  • Malware distribution
  • Intrusive third-party connections

Key Innovations

• Affective AI Core: Originally developed for emotional response simulation, the AI exhibits high precision in detecting disruptive online elements (e.g., ads, trackers).
• Unified Blocklist Format: Optimized for:
  • Hosts file integration (system-level blocking).
  • Ad-blocker extensions (browser-level filtering).
• Cross-Platform Compatibility: Deployable on routers, firewalls, and mobile devices.

❓ Motivation

"To eliminate digital noise and restore user sovereignty over online experiences."

Conventional ad-blockers rely on static, manually curated lists. The Quantum Ad-List dynamically adapts using AI, covering edge cases and emerging threats often missed by traditional solutions.

🛡 Security & Privacy

• Zero Data Transmission: Blocks trackers/malware without exposing user data.
• No External Dependencies: Entirely self-contained and offline-capable.

---

📥 Installation

🧱 Hosts File Integration (Recommended)

Linux/macOS/Windows (WSL)

1. Download the installer:

   wget https://gitlab.com/The_Quantum_Alpha/the-quantum-ad-list/-/raw/master/quantum_adlist.sh
   

2. Set executable permissions:

   chmod +x quantum_adlist.sh
   

3. Run with root privileges:

   sudo ./quantum_adlist.sh
   

4. Verification:

   cat /etc/hosts | grep "quantum-ad-list"
   

🚫 Ad-Blocker Compatibility

Vivaldi/Chrome/Firefox (uBlock Origin)

1. Navigate to Ad-Blocker Settings > Custom Lists.
2. Add the raw list URL:

   https://gitlab.com/The_Quantum_Alpha/the-quantum-ad-list/-/raw/master/hosts
   

3. Restart the browser to apply.

⚠ Note: Ad-blocker integration is experimental. For optimal performance, use hosts file deployment.

🌐 Pi-hole Integration

To integrate The Quantum Ad-List into your Pi-hole, you have two options:

Option 1: Add Both Split Lists (Recommended)

1. Navigate to your Pi-hole admin dashboard.
2. Go to Group Management > Adlists.
3. Add the following URLs as separate adlists:

   https://gitlab.com/The_Quantum_Alpha/the-quantum-ad-list/-/raw/master/Hosts/The_Quantum_Ad-List_1.txt
   https://gitlab.com/The_Quantum_Alpha/the-quantum-ad-list/-/raw/master/Hosts/The_Quantum_Ad-List_2.txt
   

4. Click Add and then Update Gravity to apply the changes.

Option 2: Use the Raw List

1. Navigate to your Pi-hole admin dashboard.
2. Go to Group Management > Adlists.
3. Add the following URL:

   https://gitlab.com/The_Quantum_Alpha/the-quantum-ad-list/-/raw/master/Raw/The_Quantum_Ad-List.txt
   

4. Click Add and then Update Gravity to apply the changes.

---

👾 Issue Reporting

📬 Submit a Report

Found a false positive or missed domain? Open an issue with:

• Domain URL
• Context (e.g., "legitimate site blocked")
• Screenshot (if applicable)

🏷 Known Limitations

Issue	Status	Workaround
YouTube ad-blocking	Under Investigation	Use the Raw List temporarily.
Google services blocked in the AdBlock version	Mitigation Pending	Whitelist google.com in your ad-blocker.

---

👥 Community & Support

• Matrix Chat: @the_quantum_alpha:matrix.org and/or @pinkisjustnumbers:matrix.org (Please be respectful.)
• GitLab Issues: Submit Here

---

💰 Support the Project

Your donations fuel our AI research, our servers/systems and our list maintenance. Thank you!