Data Mining
This structure ensures that LingoAI remains a relevant, productive, and fair data infrastructure over the long term.
LingoAI Community Mining Mechanism
Total Allocation: 45,000,000,000 Tokens
LingoAI adopts a long-term, contribution-driven community mining model designed to support sustainable growth of a global AI data infrastructure.
Community mining tokens are released over 20 years, divided into three phases, each aligned with the maturity of the network.
The system prioritizes real-world data contribution, long-term participation, and gradual decentralization, rather than short-term incentives.
Phase
Duration
Focus
Allocation
Task
Percentage of total supply
Cross-lingual LLM Development
Phase 1: Network Scale (Years 1β5)
Allocation: 20.25B tokens (45%)
Phase 1 focuses on rapid global network expansion, encouraging large-scale participation from contributors across languages, regions, and data types.
The goal is to establish LingoAI as a global data entry layer for multilingual and multimodal AI.
Key Characteristics
Incentives prioritize contribution volume
Low participation barriers
Strong early rewards to bootstrap the ecosystem
No instant liquidity: rewards are recorded first, released gradually
Annual Emission Distribution (Phase 1)
Year
% of Phase 1
Tokens Released
Phase 2: Scale Γ Quality (Years 6β10)
Allocation: 13.5B tokens (30%)
Phase 2 balances continued growth with improving data quality.
As the network matures, incentives increasingly favor:
Scarce languages and domains
Contributors with consistent participation histories
Key Characteristics
Emissions continue to decline gradually
Quality multipliers are introduced
Usage-based acceleration begins (data that is used unlocks faster)
Volume alone is no longer sufficient for optimal rewards
Annual Emission Distribution (Phase 2)
Year
% of Phase 2
Tokens Released
Phase 3: Quality & Sustainability (Years 11β20)
Allocation: 11.25B tokens (25%)
Phase 3 transforms community mining into a long-term sustainability mechanism.
Tokens become increasingly scarce, and rewards are tightly coupled to:
Long-term contribution loyalty
This phase ensures that the network remains active and valuable decades after launch.
Key Characteristics
Strong emphasis on usage-driven rewards
High-quality and rare data prioritized
Long-term contributors benefit from loyalty weighting
Emissions never drop to zero, preserving ongoing incentives
Annual Emission Distribution (Phase 3 β 10 Years)
Year
% of Phase 3
Tokens Released
Epoch-Based Distribution Model
All community mining rewards are distributed using an epoch-based system.
Contributions are recorded continuously during the epoch
Rewards are calculated and allocated at epoch end
Tokens enter a delayed release schedule, not immediate circulation
This design:
Prevents short-term exploitation
Aligns rewards with long-term participation
Visual Emission Curve (Conceptual)
The LingoAI community mining model is designed as a 20-year incentive framework that evolves alongside the network:
Phase 1 builds global scale
Phase 2 improves quality and utility
Phase 3 ensures long-term sustainability