Gaia AI (or GaiaNet AI) is a project that builds a decentralized AI network. Instead of relying on big companies to run AI systems, Gaia lets people and businesses host AI models on their own devices. This makes AI more open and accessible to everyone. Users can create AI “twins” or agents that specialize in different tasks, like teaching, customer support, or trading. Gaia’s goal is to give people more control over AI and offer an alternative to centralized AI services.
The project is growing fast. It has raised $10 million in early funding and launched a beta version with over 1,000 active nodes. This shows that many people are interested in Gaia’s idea of a decentralized AI network.
Gaia AI step-by-step Guide
1. Visit the official Gaia website & connect MetaMask.
2. Fill the referral code if not autofill: RNaKrK
3. Link social media accounts to earn points.
4. Complete all available social tasks in the Gaia XP page
5. (Optional) Purchase Gaia domain or run node for additional points
6. (Optional) Invite friends to earn extra Gaia XP
6. Join our Telegram channel for upcoming updates.
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(Optional) Run Gaia Node
1. Visit the official documentation at docs.gaianet.ai
2. Follow the quick start guide for node setup
3. Ensure your system meets the technical requirements
4. Launch and maintain your node to earn points
(Optional) Domain Purchase
1. Navigate to the Gaia Domain Tab
2. Browse available domain name
3. Purchase preferred domain (starting from $200)
4. Now Manage your domain to earn additional points
Daily Tasks – Increase Your Gaia Rewards
- Complete available community tasks
- Monitor your point accumulation through the dashboard
Gaia Protocol
The Gaia protocol connects and incentivizes Gaia nodes and domains to form a coherent network of web services for AI agents. It provides a mechanism to discover, connect to, and pay for Gaia node services through a decentralized marketplace. It also incentivizes domains to manage node agents through a staking program. Furthermore, the Gaia protocol connects model creators (i.e., people who have skills to finetune models) and knowledge providers to node operators through a marketplace.
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