🔄How It Works

The Training Gym is designed to make AI training intuitive, scalable, and rewarding. It allows users to record demonstrations, process them into structured training data, and contribute to AI development—all while earning $VIRAL for their contributions.

Here’s a step-by-step breakdown of how it works:

1. Record Your Demonstration

• Connect your wallet.

• Open the Training Gym and start recording your task.

• Perform actions as you normally would—clicking, typing, navigating software, and executing workflows.

• The AI observes and records every step in real time, creating a raw demonstration.

📌 Example: A user records themselves executing a DeFi swap, clicking through a wallet interface, confirming transactions, and optimizing slippage settings.

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2. Review & Process Your Recording

• Once a demonstration is recorded, head to your Recording History to review it.

• Click Details to replay your recording and analyze your steps.

• Press Process to break down the recording into structured steps AI can learn from.

📌 Example: AI segments the DeFi swap process into steps like "Connect Wallet," "Select Token Pair," "Adjust Slippage," and "Confirm Transaction."

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3. Upload to Contribute & Earn Rewards

• When ready, press Upload to submit your demonstration to the ViralMind dataset.

• Your submission will be evaluated by the data quality agent, which scores the clarity, effectiveness, and accuracy of your demonstration.

• If your submission meets quality standards, you receive immediate $VIRAL rewards.

• The better your demonstration, the higher your payout.

📌 Example: A well-structured demonstration of executing a trade earns 85% quality, resulting in a payout of $0.17 in VIRAL tokens (with the remaining $0.03 returned to the training pool).

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4. AI Learns & Adapts Over Time

• Your demonstration is now part of the open AI dataset, allowing AI models to learn from real-world human actions.

• The AI analyzes patterns, decision-making logic, and workflow optimizations, improving its ability to complete tasks independently.

• As more demonstrations are uploaded, AI agents continuously refine their accuracy and efficiency.

📌 Example: After multiple high-quality submissions, an AI model perfects the DeFi swap process, executing transactions autonomously based on real human behavior.

5. Tracking AI Progress in the Skill Tree

• Every successful demonstration contributes to AI mastery in specific skills.

• The AI Skill Tree visualizes progress, showing which skills have been mastered and which need more training.

• Users can focus on growing specific branches, ensuring AI models develop expertise in high-demand areas.

📌 Example: The DeFi trading branch of the Skill Tree now shows 95% mastery in executing swaps but only 60% mastery in liquidity pool interactions—indicating that more training is needed for staking and farming strategies.

Why This System Works

🔹 AI Learns Like a Human – Instead of training on static datasets, AI improves through real-world human interaction.

🔹 Open & Decentralized AI Training – Anyone can contribute and earn, making AI development community-driven.

🔹 Real-Time AI Optimization – AI models continuously improve as more demonstrations are uploaded.

🔹 Monetized AI Contributions – Users earn $VIRAL for training AI, making AI development an incentive-driven process.