Alaya AI Launches AGT Redemption Season 4
Alaya AI Launches AGT Redemption Season 4
🎮 AGT Season 4 Begins
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
- Access through the official website
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.
We are now entering $AGT Redemption Season 4. Guide: medium.com/@alaya-ai/agt-… Website: aialaya.io/#/agtlogin
🎟️ Alaya AI Launches $30K Airdrop Campaign on BNB Chain
Alaya AI has partnered with BNB Chain to launch the **Lucky Season Airdrop**, distributing **$30,000 in $AGT tokens** to 3,000 winners. **How to participate:** - Register and bind your wallet on [DappBay](https://dappbay.bnbchain.org/campaign/429-alaya-ai-lucky-season-airdrop) - Complete 1 daily training session - Complete 1 task **Training process:** - Create an account at Alaya AI's platform - Navigate to the Task page and complete multiple choice questions - Interact with the smart contract - Training resets daily at 12 a.m. UTC+8 This follows a previous campaign where 1,000 participants shared $50,000 in $AGT tokens for completing 7 days of training. Winners from that round were announced after December 30, 2024. Participants can track their eligibility through the DappBay campaign page.
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.