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# Zuvu AI and Vana Unite to Enhance Distributed AI on Bittensor
Zuvu AI and Vana have collaborated to improve distributed AI capabilities within the Bittensor network. The objective? To establish a more transparent and economically stable AI environment.
Zuvu AI, previously recognized as SocialTensor, contributes its proficiency in expanding Bittensor subnets to the discussion. Vana, recently guided by Binance creator CZ, donates its creative user-owned information network.
This collaboration seeks to examine a fresh framework for AI progress—one that is accessible, cooperative, and economically feasible. They intend to accomplish this by incorporating essential layers of the distributed AI stack.
## Producing Actual Worth
Art Abal, Managing Director at Vana Foundation, emphasizes that this teamwork combines Vana’s information layer, Bittensor’s subnet network, and Zuvu’s economic layer. This integration will improve Vana’s DataDAO environment and address significant obstacles in AI progress.
Zuvu controls the AI economic layer, generating new possibilities in a swiftly expanding market. This considers investment, staking, trading, and monetization of models, agents, and information. The collaboration arrives as the AI market is predicted to attain trillions of dollars by 2032.
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## DeFi’s Increasing Influence
The integration with Bittensor is tactical, leveraging its incentive-driven network to expand AI progress. By uniting user-owned information with permissionless computing and economic incentives, this teamwork mirrors the turbulent influence of decentralized finance on conventional finance.
According to Abal and Daniel Raissar, COO of Zuvu AI, the collaboration is anticipated to improve the diversity of Bittensor subnets, support the expansion of Vana’s DataDAO, and position Zuvu as a pioneer in AI financialization. This could possibly reshape industry procedures.
This partnership corresponds to the path of open-source artificial intelligence progress, echoing Bittensor’s growth to 45 operational subnets, and tackles the requirement for substitutes to concentrated artificial intelligence titans.
