What is Alaya Governance Token (AGT)?

TLDR Alaya Governance Token (AGT) is the utility and governance token for Alaya AI, a decentralized platform using blockchain and gamification to crowdsource AI training data while ensuring quality and user incentives.

1. Decentralized AI data infrastructure – Connects distributed communities to create labeled datasets for AI models
2. Dual incentive model – Combines token rewards with NFTs to balance data quality and community growth
3. Governance backbone – Enables voting on platform upgrades and AI model development priorities

Deep Dive

1. Core Purpose & Value Proposition

AGT powers a Web3 protocol addressing the $200B+ AI data industry’s centralization problem. Traditional AI companies rely on low-paid “data mills” that produce biased datasets from limited demographics (Alaya AI). Alaya’s solution:

• Distributes data labeling tasks globally via blockchain
• Uses game mechanics to prevent task-grinding (capping daily rewards but allowing unlimited social referrals)
• Automatically filters outliers using statistical validation

This aims to create more representative training data while letting contributors monetize their expertise.

2. Token Mechanics & Governance

AGT serves three primary functions:
1. Staking – Users stake AGT to participate in labeling tasks, with higher stakes granting access to specialized datasets
2. Model Funding – Developers create AGT-denominated pools to finance AI model training
3. Governance – Token holders vote on:
- Data validation algorithms
- Reward distribution formulas
- Integration partners (e.g., DePIN projects)

A dual NFT system complements this – tradeable NFTs unlock task tiers, while non-transferable “medallion NFTs” certify user expertise (Alaya’s NFT System).

3. Web3 Integration Strategy

Unlike centralized competitors like Scale AI, Alaya lets projects create custom reward pools using their own tokens alongside AGT. This composability aims to attract Web3-native AI startups needing niche data (e.g., medical imaging datasets tokenized as NFTs).

Conclusion

AGT anchors a decentralized network seeking to disrupt AI’s data supply chain through community-powered labeling and transparent governance. While still early-stage, its hybrid model of staking, NFTs, and cross-chain incentives presents a novel approach to AI development. Can AGT’s economic design sustainably balance data quality, contributor rewards, and model developer needs as adoption scales?