![Morpheus AI Project Live on Arbitrum Testnet 2 ARBT](https://cryptocoinstart.com/wp-content/uploads/2024/07/ARBT-1024x576.png)
Decentralized AI Technology: Avoiding Centralized Pitfalls
The premise of decentralized AI technology is to avoid the pitfalls of centralized AI models, which might be prone to censorship or monopoly control, according to the developer.
Lumerin’s Morpheus Project Goes Live
Lumerin, a protocol on the Arbitrum blockchain, announced that its new Morpheus project for decentralized AI computing will go live on Friday on a public test network. The project aims to decentralize and more efficiently allocate AI compute power across the Morpheus AI network, enabling users to engage in a decentralized Chat GPT-like interface.
Personal AIs and Smart Agents
The project relies on “personal AIs,” referred to as “smart agents,” which can be paid for using cryptocurrencies. This new technology is being deployed on Arbitrum’s Sepolia test network.
Background of Lumerin
Started in 2021, Lumerin describes itself as an “open-source protocol and foundational layer technology that uses smart contracts to control how peer-to-peer data streams are accessed, routed, and transacted.”
- Lumerin’s first use case was a peer-to-peer, decentralized marketplace for trading Bitcoin hashpower.
- The project is now leveraging its existing codebase to build the core node software for Morpheus.
Advantages of Morpheus in the Web3 Era
According to the Morpheus technical documentation, or “white paper,” the project is expected to bring functional advantages over existing AI systems such as large language models (LLMs), since it is already in “Web3” – technologies built on decentralized networks and designed to work with cryptocurrencies.
- Running decentralized applications (dapps)
- Interacting with decentralized finance (DeFi) protocols
The white paper states: “Being Web3 native, the user can buy or sell crypto, send stablecoins, access smart contracts, and use dapps and DeFi services, which no LLM is connected to today. Regulatory barriers faced by centralized companies prevent them from offering these tools to users, so their models can chat about tasks but not act on the user’s behalf in a Web3 context.”