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## Zuvu AI and Vana Team Up to Enhance Bittensor’s Uncentralized AI
Zuvu AI and Vana have revealed a collaboration targeted at supporting Bittensor’s uncentralized artificial intelligence, with the mutual objective of building a more accessible and economically viable AI environment.
Zuvu AI, previously known as SocialTensor, offers experience in scaling four Bittensor (TAO) subnets, while Vana, recently guided by Binance founder Changpeng Zhao, provides its innovative user-possessed data network.
The collaboration seeks to examine a fresh blueprint for accessible, cooperative, and economically viable AI development by incorporating key layers of the uncentralized AI stack.
## Building Tangible Worth
Art Abal, Managing Director of the Vana Foundation, remarked that the collaboration integrates Vana’s data layer, Bittensor’s subnet network, and Zuvu’s economic layer to enhance Vana’s DataDAO environment and tackle key obstacles in AI development.
Zuvu drives the AI economic layer, enabling investment, staking, trading, and monetization of models, agents, and data, building fresh opportunities in a rapidly expanding market. According to the news release, the collaboration arrives at a moment when the AI market is predicted to attain trillions of dollars by 2032.
## DeFi’s Growing Disturbance
The collaboration and integration with Bittensor are strategic, leveraging its incentive-motivated network to scale AI development. By uniting user-possessed data with permissionless computing and economic incentives, the collaboration mirrors the disturbance of traditional finance by uncentralized finance.
According to Abal and Zuvu AI COO Daniel Raissar, the collaboration is anticipated to improve Bittensor’s subnet variety, support Vana’s DataDAO expansion, and position Zuvu as a frontrunner in AI financialization, possibly influencing industry practices.
This partnership corresponds TruBit Collaborates with Morpho to Introduce DeFi Unearned Revenue in Latin America the course of open-source AI advancement, reflecting Bittensor’s growth to 45 operational subnets. It also tackles the rising need for options to concentrated AI behemoths, providing a more distributed and available method to AI innovation.
