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## Zuvu AI and Vana Unite Efforts to Enhance Distributed AI on Bittensor
Zuvu AI and Vana have collaborated to improve distributed AI within the Bittensor system. The aim is to create a more accessible and financially sound AI environment. TruBit Collaborates with Morpho to Introduce DeFi Unearned Revenue in Latin America
Zuvu AI (previously SocialTensor) provides its knowledge in expanding four Bittensor (TAO) subnets to the discussion. Vana, recently guided by Binance creator Changpeng Zhao, adds its user-controlled data system.
By combining important layers of the distributed AI stack, this collaboration seeks to demonstrate a new model for AI development that is accessible, cooperative, and financially viable.
## Producing Actual Worth
Art Abal, Managing Director at Vana Foundation, emphasizes that this cooperation merges Vana’s data layer, Bittensor’s subnet network, and Zuvu’s financial layer. This will enhance Vana’s DataDAO environment and address significant issues in AI development.
Zuvu powers the AI financial layer, allowing investment, staking, trading, and monetization of models, agents, and data. This creates new possibilities in a rapidly growing market. The collaboration occurs as the AI market is predicted to reach trillions of dollars by 2032.
## DeFi’s Increasing Disturbance
The integration with Bittensor is strategic, leveraging its incentive-driven network to expand AI development. By combining user-controlled data with permissionless computation and financial incentives, this collaboration mirrors how distributed finance is disrupting traditional finance.
According to Abal and Zuvu AI COO Daniel Raissar, the collaboration is anticipated to improve Bittensor’s subnet variety, support Vana’s DataDAO growth, and position Zuvu as a leader in AI financialization, potentially impacting industry standards.
This partnership corresponds to the increasing pattern of open-source Artificial Intelligence, reflecting Bittensor’s growth to 45 functioning subnets. It constitutes an immediate reaction to the demand for substitutes for consolidated Artificial Intelligence behemoths, indicating a move in the direction of more distributed and approachable Artificial Intelligence progress.
