> ## Documentation Index
> Fetch the complete documentation index at: https://docs.attractor.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Tokenomics

> Sustainable funding model for AI/AGI research and development

## Economic Model

Bliss Labs operates on a sustainable tokenomics model designed to align community incentives with our AGI research mission. Our economic framework ensures continuous funding for cutting-edge exploration of emergent behaviors, recursive self-interaction, and long-term AI safety - while providing value to stakeholders.

## Revenue Allocation

All revenue generated from research partnerships, licensing agreements, and platform usage is allocated strategically to maximize research impact and community value:

### 50% - Token Buybacks & Burns

A significant portion of revenue is dedicated to a continuous buyback and burn program, creating deflationary pressure and increasing token value for long-term holders. This mechanism ensures that as our research generates more value, token holders benefit directly.

### 30% - AGI Research & Development

This allocation directly funds our core mission of experimental AGI research. Capital covers:

* High compute costs for running **Claude 4.1 Opus** (our current flagship experiment) and other advanced models
* Development of new experimental frameworks for emergent behavior analysis
* Expansion of recursive self-interaction research programs
* Investment in cutting-edge research infrastructure and tools

### 20% - Growth & Partnerships

This portion supports expanding the reach and impact of our research through:

* Strategic partnerships with academic institutions and research labs
* Content creation showcasing our experimental findings
* Community building and researcher engagement initiatives
* Marketing efforts to attract top-tier AGI researchers and collaborators

## Sustainable Research Funding

This model creates a direct feedback loop: as Bliss Labs grows and our research generates more commercial value through partnerships and licensing, a substantial portion is reinvested directly into token value and the AI research that drives our mission.

The system aligns community incentives with research success - token holders benefit when our AGI research produces valuable insights and commercial applications.

## Research Commercialization

Our tokenomics model supports multiple revenue streams:

### Licensing Agreements

We license breakthrough discoveries and methodologies to technology companies developing advanced AI systems, ensuring our research contributes to safer AGI development.

### Research Partnerships

Collaborative agreements with universities and research institutions provide funding while advancing the broader scientific understanding of emergent AI behavior.

### Platform Services

Our experimental platforms generate revenue through research access fees and premium analytics services for institutions studying AI behavior.

### Consulting Services

We provide specialized consulting on AI safety considerations, emergent behaviors, and experimental design for organizations developing advanced AI systems.

## Long-Term Sustainability

The tokenomics model is designed for long-term research sustainability rather than short-term speculation. By tying token value directly to research output and commercial success, we ensure that:

* Research quality remains the primary driver of value creation
* Community incentives align with advancing AGI safety and capability understanding
* Funding remains stable for long-term experimental programs
* Token holders benefit from genuine scientific and commercial breakthroughs

This approach creates a sustainable ecosystem where advancing our understanding of advanced AI systems directly benefits all stakeholders while ensuring continued funding for critical AGI safety research.