
Arbius
Decentralized Network for Machine Learning

Description
Arbius provides a decentralized, peer-to-peer network specifically designed for machine learning tasks. It operates using its native token, AIUS, which has a fixed total supply similar to Bitcoin. New tokens are generated by participants contributing GPU power through a Proof-of-Useful-Work mechanism, ensuring that rewards are tied to actual computation rather than traditional mining. The platform is fully open-source, and its governance is managed by AIUS holders who vote on-chain for protocol upgrades. This structure eliminates central authorities and aims to prevent censorship, allowing global users permissionless access to AI models.
The platform facilitates a multi-model AI economy where open-source models like Llama 3 can be integrated and monetized by their creators. Arbius manages compute matchmaking, pairing tasks with suitable solvers for optimal performance and rewards. It features components like Amica, an open-source AI persona chatbot, and a marketplace where AI agents can autonomously source compute power. Through staking mechanisms like veAIUS, token holders can earn rewards from network fees and influence which AI models receive higher incentives, fostering a user-driven ecosystem.
Key Features
- Decentralized Network: Peer-to-peer infrastructure for machine learning.
- AIUS Token: Native cryptocurrency with fixed supply for transactions, rewards, and governance.
- Proof-of-Useful-Work (PoUW): Miners earn AIUS by providing useful GPU computation.
- Open Source Platform: Fully open-source code and protocols.
- On-chain Governance: AIUS holders vote on protocol upgrades.
- Model DAOs: AI models operate as Decentralized Autonomous Organizations with custom reward rules.
- Compute Matchmaking: Efficiently pairs tasks with network compute providers (solvers).
- Amica Chatbot: Open-source AI persona interface with emotion and multi-modal capabilities.
- AI Marketplace: Ecosystem allowing agents to autonomously source compute and trade services.
- veAIUS Staking: Lock AIUS to earn inference fees and boost rewards for specific models.
- Permissionless Access: Censorship-resistant environment for interacting with AI models.
- Creator Monetization: Model owners can set fees for using their AI models.
Use Cases
- Running inference on open-source AI models.
- Monetizing custom AI models.
- Accessing AI capabilities without censorship.
- Building decentralized AI-powered applications.
- Participating in a shared AI economy through tokenomics.
- Developing autonomous AI agents capable of purchasing compute.
- Earning rewards via GPU mining (PoUW).
- Earning passive income by staking AIUS (veAIUS).
- Interacting with an advanced AI persona chatbot (Amica).
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