Training Pools
The Training Pool is the core funding mechanism within The Forge, enabling AI training environments (Gyms) to distribute rewards to contributors. Gym creators fund a pool using $VIRAL, USDC, or their own native tokens, ensuring a steady flow of incentives to attract high-quality AI training demonstrations.
Training Pools enable dynamic, competitive AI training, where contributors earn based on the quality of their demonstrations, and Gym owners can scale their AI models efficiently.
How Training Pools Work
1. Funding the Pool
Gym creators deposit $VIRAL, USDC, or their own token to finance AI training. A 20% platform fee is taken from each deposit.
The pool is used to pay workers who submit high-quality demonstrations.
Web3 startups can stake $VIRAL to unlock the ability to use their own token.
2. Dynamic Payouts Based on Demonstration Quality
Workers record demonstrations, which are then scored by ViralMindβs data quality agent.
Higher-quality submissions receive larger payouts, ensuring AI models learn from the best data.
Example: A $0.20 bid per demonstration means:
85% quality submission: Worker receives $0.17, and $0.03 is refunded to the pool.
Submissions below 50% quality: No payout, and the full amount is refunded to the training pool.
3. Bidding System for Worker Participation
Gym owners adjust pricing based on demand.
If a Gym sets $0.20 per demonstration but receives few submissions, it can raise the bid to $0.30 to attract more workers.
This creates an organic marketplace, ensuring that AI models are trained efficiently without overspending.
4. Reputation-Based Incentives
ViralMind implements a Worker Reputation System, rewarding consistent, high-quality contributors.
Workers with strong track records gain priority access to higher-paying tasks, improving training efficiency.
Why Training Pools Matter
πΉ Incentive-Driven AI Training β High-quality demonstrations are rewarded fairly, ensuring AI agents learn from the best data sources.
πΉ Scalable and Competitive Marketplace β The bidding system allows Gym owners to dynamically control costs and training speed.
πΉ Tokenized AI Training Economy β The system creates constant demand for $VIRAL, as businesses must acquire and fund pools to train AI models.
πΉ Reputation and Quality Control β Workers are ranked by performance, ensuring AI agents improve efficiently without low-quality data slowing progress.
Example Training Pool Funding Scenarios
Web2 Enterprise Example
Company Funds: $20,000 USDC
Flat Setup Fee: $250
20% Platform Fee: $4,000
Remaining Worker Pool: $15,750
Demonstration Price: $0.20 per task
Total Demonstrations Funded: 78,750
Web3 Startup Example
Project Funds: $20,000 USDC equivalent in $VIRAL
Flat Setup Fee: 1 SOL (~$100)
20% Platform Fee: $4,000
Remaining Worker Pool: $16,000
Demonstration Price: $0.20 per task
Total Demonstrations Funded: 80,000
These funding mechanisms scale AI training based on demand, ensuring sustainable growth while keeping contributors incentivized.
The Role of Training Pools in AI Growth
Training Pools are the economic backbone of The Forge, ensuring AI models are trained, improved, and monetized in an open, decentralized way.
By aligning funding, quality control, and incentives, ViralMind enables:
β Enterprise-grade AI development without centralized control
β A sustainable AI training workforce where contributors are fairly rewarded
β Continuous demand for $VIRAL, reinforcing the AI training economy
With Training Pools, The Forge transforms AI training into a scalable, self-sustaining system, where Gym creators and AI trainers both benefit from continuous innovation.
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