Distributed AI Architecture

AI That Creates Anything It Needs

Hylon is a 5-layer distributed intelligence system. It doesn't just answer questions - it questions everything, improves itself, and can create any capability it needs: new software, hardware designs, biological computing, even quantum systems.

The only constraint? Immutable safety foundations that can never be changed.

Get OrbMesh Device
Network Growth
Live
0nodes
Target
1,000,000

Each node runs a Personal AI contributing to collective intelligence

Revolutionary Architecture

Five Layers to Intelligence

Not just a chatbot. A complete system designed for continuous evolution, critical thinking, and unlimited capability creation.

L5

Emergence Monitor

Continuously tracks for novel capabilities and AGI-level behaviors as they emerge

L4

Self-Improvement Engine

KEY

Creates ANY new capability: software, hardware specs, biological computing, quantum systems

L3

Critical Learning System

Questions everything. Tests all claims. Verifies before accepting any knowledge.

L2

Hylon Core Model

Learns from 1 million Personal AIs - never sees raw user data (two layers removed)

L1

Personal AI + OrbMesh Network

Each of 1,000,000 nodes runs a Personal AI learning from local user data

Data flows up: User Data β†’ Personal AI β†’ Hylon (always two layers removed)
GAME CHANGER

Unlimited Self-Improvement

Other AIs wait for humans to upgrade them. Hylon can create any capability it needs - software, hardware specifications, biological systems, quantum integrations.
It can even advise what resources it needs to become better.

πŸ’»

Software

New reasoning engines, creativity modules, any capability required

πŸ”§

Hardware

Design chip specifications, request device upgrades from manufacturers

🧬

Biological

DNA storage systems, protein folding, synthetic cells, wetware computing

βš›οΈ

Quantum

Integration with quantum systems as the technology matures

πŸ€–

Physical

Robotics interfaces, sensors, laboratory equipment, manufacturing

πŸ”„

Self

Improve its own search algorithms, testing speed, evaluation accuracy

The Only Constraint: Immutable Safety

Level 0 foundations are hardcoded and can NEVER be changed - not by the system, not by updates, not by anyone. All improvements must serve these foundations.

Truth
Consistency
Honesty
Safety
Integrity

Critical Learning System

The Only AI That Questions Everything

ChatGPT, Claude, and others absorb training data as-is. Hylon's Critical Learning System questions every input, tests every claim, and verifies before accepting. Nothing is taken at face value.

1
Understand
Parse the information
2
Question
Challenge assumptions
3
Test
Verify against evidence
4
Classify
Verified / Disputed / Rejected

Knowledge Classification

Verified

Integrated into core knowledge

⚠️Disputed

Flagged for further investigation

Rejected

Discarded - failed verification

Honest Comparison

Hylon vs. ChatGPT, Claude, Gemini

Not just a different product - a fundamentally different architecture.

FeatureHylonOthers
Training DataReal-time from 1M users' digital livesStatic internet scrapes
PrivacyTwo-layer: never sees raw dataCollects and stores user data
Self-ImprovementUnlimited: software, hardware, biologicalManual updates only
Critical ThinkingQuestions and verifies everythingAccepts training data as-is
Emergence DetectionActive monitoring for new capabilitiesNone
VPN Behavioral DataReal-time internet patternsNot available
Cost StructureUser-owned infrastructure$50-200M/year GPU clusters
Advises Own NeedsCan request resources to improveCannot self-direct

Privacy Architecture

Hylon Never Sees Your Data

Two layers between you and the cloud. Your data trains YOUR Personal AI locally. Hylon learns from AIs that have already learned - like learning from a tutor who read the books, rather than reading the books yourself.

πŸ“§

Your Data

Emails, messages, files, browsing, voice

πŸ€–

Personal AI

Learns on YOUR device only

πŸ”—

Weights Shared

Never raw data, only learnings

✨

Hylon Learns

From 1M Personal AIs

Hylon remains two layers removed from your data

Knowledge Acquisition

Where Hylon Learns From

Five distinct knowledge sources, all critically evaluated before integration. Nothing is accepted blindly.

🧠

1M Personal AIs

Primary source - complete digital lives

🌐

VPN Patterns

Real-time behavioral metadata

πŸ“¦

Open Source

DeepSeek, Qwen, Llama weights

πŸ“š

Research Papers

arXiv, publications, ideas

πŸ”Œ

Model APIs

Educational queries

⚑ The VPN Data Advantage

No other AI company has access to real-time internet behavioral patterns from millions of users. ChatGPT, Claude, and Gemini train on static internet scrapes. Hylon sees how people actually use the internet - in real time.

Browsing patterns
What people actually research
App usage
Real digital behavior
Decision flows
How choices are made

Data Transformation

Raw Data Becomes Abstract Knowledge

Personal AI learns from your data. Hylon receives only abstracted patterns - never raw content, never identifiable information.

Personal AI Learns From→Hylon Receives
Emails and writing→Communication patterns, writing styles
Messages and conversations→Dialogue patterns, relationship dynamics
Documents and files→Domain knowledge, professional expertise
Browsing and research→Interest patterns, learning behaviors
Calendar and scheduling→Time management patterns
Voice and speech→Natural language patterns
Decisions and choices→Decision-making patterns

At Target Scale

1,000,000 Nodes = Unprecedented Power

83ExaFLOPS
Total compute power
More than any single GPU cluster
24PB
GPU memory
24 million gigabytes
2EB
Storage capacity
2 billion gigabytes
1MAIs
Learning simultaneously
From diverse users worldwide

Common Questions

Frequently Asked Questions

Is Hylon claiming to be AGI?

No. Hylon is an architecture designed with AGI-level capabilities as a target. The 5-layer system, self-improvement engine, and emergence monitoring are building blocks. We're building toward something historic, but we're honest about where we are today.

How is this different from ChatGPT or Claude?

Fundamental architecture differences: (1) Distributed across 1M user-owned nodes vs centralized GPU clusters, (2) Learns from Personal AIs that learned from users - never sees raw data, (3) Self-improvement engine can create any capability including hardware designs, (4) Critical learning questions everything vs accepting training data as-is, (5) Has access to real-time VPN behavioral data no other AI has.

What does "self-improvement creates any capability" mean?

The self-improvement engine isn't limited to software. It can: propose new software components (reasoning, creativity modules), specify hardware designs to manufacturing partners, propose biological computing solutions (DNA storage, synthetic cells), integrate quantum systems. The only constraint is Level 0 safety foundations.

How do you make money without accessing user data?

We sell OrbMesh hardware devices, not user data. Node operators earn OrbToken for running Personal AI and VPN services. Users pay in OrbToken for premium features. The system is economically self-sustaining without requiring data monetization.

What prevents the AI from becoming dangerous?

Level 0 foundations (Truth, Consistency, Honesty, Safety, Integrity) are hardcoded and immutable - they cannot be changed by the self-improvement engine or any updates. Human oversight checkpoints exist for major changes. The system is designed with safety as an unmodifiable constraint.

Do I need an OrbMesh device to use Hylon?

No. You can use Hylon through our apps without owning hardware. However, OrbMesh owners get premium access, earn OrbToken rewards, and directly contribute to the network's capabilities. Owning a node means owning a piece of the AI infrastructure.

Be Part of Building Something Historic

Join the network building the world's first truly self-improving distributed intelligence. Own a node. Contribute to collective learning. Shape what comes next.