Question: Are there any decentralized networks that allow collective ownership and governance of AI models, and enable open-source researchers to access better resources?

If you're interested in decentralized networks that enable collective ownership and governance of AI models, AIxBlock is a great example. It includes a service to deploy AI models on a blockchain, a peer-to-peer compute marketplace, and tools like Jupyter Notebook and Docker to integrate them. The blockchain foundation means transactions and data are protected and transparent, and it's a good foundation for AI developers and freelancers.

Another interesting project is Vana, which puts control in the hands of AI model users and data producers. It includes data portability, personal servers for storing data and collective ownership through DAOs for control. It's a permissionless network that seeks to smash data silos and make AI resources more available to open-source researchers, a more decentralized AI future.

If you prefer a token-based approach, Arbius is a decentralized peer-to-peer ML network with tokenized models and a DAO governance mechanism. You can participate by generating AI models, earning fees through delegation and validating the network. It's an effort to democratize AI interactions, letting anyone use AI models and encouraging optimization to get results faster.

Last, Ocean is a system to monetize AI models and data with tokenized data and AI services. It enables decentralized data marketplaces and data challenges that make it easier for developers to build AI-powered apps. Ocean's token-based access controls and encryption technology means privacy is protected, but data can be shared selectively, making it a good foundation for data-heavy AI projects.