
Alaya AI has launched AGT Redemption Season 10, continuing its series of token redemption events for community participants.
Key Details:
- Access the redemption portal at aialaya.io
- Full guide available on Medium
- This marks the tenth season of AGT redemptions
The platform continues its approach of rewarding users who contribute to its distributed AI data infrastructure through gamified participation.
Participants can log in to check their eligibility and claim available tokens.
AGT Redemption Season 10 is here! Entrance: aialaya.io/#/agtlogin Guide: medium.com/@alaya-ai/agt-…
Alaya AI Launches AGT Redemption Season 4

**Alaya AI** has officially launched **$AGT Redemption Season 4**, marking the next phase of their distributed AI data ecosystem. **Key Details:** - Season 4 is now active for participants - Complete guide available on [Medium](https://medium.com/@alaya-ai/agt-redemption-season-4-53f5e4525d7d) - Access through the [official website](https://aialaya.io/#/agtlogin) **What This Means:** The redemption season allows community members to participate in Alaya's gamified data sampling and labelling infrastructure. This continues the platform's approach of using **Web3 incentives** to support AI model training. **Previous Context:** This follows Season 3's activation in September, showing consistent quarterly progression of the program. *Ready to participate? Check the guide and login to get started.*
Alaya AI Launches Web3 Data Platform with Auto-Labeling
Alaya AI has unveiled a distributed data ecosystem for AI development, featuring: - Gamified data collection system with Web3 incentives - Support for custom tokens to reduce training costs - Three-layer architecture combining evolutionary computation with RLHF/HITL - Auto-labeling AI models for improved efficiency The platform aims to make AI development more accessible for small and medium-sized teams by lowering entry barriers and operational costs. Community members can participate in data collection while earning rewards. *Key Innovation*: Proprietary auto-labeling system significantly reduces manual data processing time.