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## Zuvu AI and Vana Join Forces to Enhance Distributed AI on Bittensor
On February 26, Zuvu AI and Vana revealed a collaboration designed to improve decentralized artificial intelligence within the Bittensor network. The purpose? To develop a more accessible and economically feasible AI environment.
Zuvu AI, previously known as SocialTensor, provides experience in scaling four Bittensor (TAO) subnets. Vana, recently guided by Binance founder Changpeng Zhao, contributes its innovative user-controlled data network.
By incorporating essential layers of the decentralized AI stack, this partnership seeks to examine a novel model for AI development that is transparent, cooperative, and economically viable.
## Developing Tangible Worth
Art Abal, Managing Director at Vana Foundation, remarked that the collaboration unites Vana’s data layer, Bittensor’s subnet networks, and Zuvu’s economic layer. This integration aims to enhance Vana’s DataDAO environment and address crucial obstacles in AI development.
Zuvu drives the AI economic layer, facilitating investment, staking, trading, and monetization of models, agents, and data. This generates fresh prospects in a swiftly expanding market. According to the press release, this collaboration arrives at a moment when the AI market is anticipated to reach trillions of dollars by 2032. TruBit Collaborates with Morpho to Introduce DeFi Unearned Revenue in Latin America
## DeFi’s Increasing Disturbance
The partnership’s integration with Bittensor is tactical, leveraging its incentive-based network to scale AI development. By uniting user-controlled data with permissionless computation and economic incentives, this collaboration mirrors the disturbance decentralized finance is bringing to conventional finance.
According to Abal and Zuvu AI COO Daniel Raissar, the collaboration is projected to enhance Bittensor’s subnet variety, support the expansion of Vana’s DataDAO, and position Zuvu as a leader in the financialization of AI, potentially impacting industry standards.
This partnership corresponds with the direction of open-source AI advancement, as shown by the Bittensor system’s growth to 45 operational sub-networks, and it also caters to the industry’s need for options to dominant AI corporations.
