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# Zuvu AI and Vana Collaborate to Enhance Decentralized AI on Bittensor
On February 26, Zuvu AI and Vana revealed a collaboration to reinforce decentralized AI within Bittensor. Their intention is to construct a more economically sustainable and transparent AI ecosystem.
Zuvu AI, previously recognized as SocialTensor, contributes its knowledge in scaling four Bittensor (TAO) subnets. Vana, which lately obtained guidance from Binance founder Changpeng Zhao, donates its pioneering user-possessed data network.
The collaboration intends to examine a novel model for AI development that is transparent, collaborative, and economically feasible by incorporating key layers of the decentralized AI stack.
## Establishing 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 ecosystem and tackle key obstacles in AI development.
Zuvu furnishes the economic layer for AI, enabling investment, staking, trading, and monetization of models, agents, and data, establishing novel prospects in a swiftly expanding market. According to the press release, the collaboration arrives as the AI market is anticipated to attain trillions of dollars by 2032.
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The collaboration’s integration with Bittensor is tactical, leveraging its incentive-driven network to scale AI development. By uniting user-possessed data with permissionless computation and economic incentives, the collaboration mirrors the disturbance that decentralized finance (DeFi) has conveyed to conventional finance.
According to Abal and Daniel Raissar, COO of Zuvu AI, the collaboration is anticipated to heighten the diversity of Bittensor’s subnets, support the expansion of Vana’s DataDAO, and position Zuvu as a leader in the AI finance space, potentially influencing industry practices.
This partnership mirrors the pattern of publicly accessible artificial intelligence, highlighted by the expansion of Bittensor to 45 operational sub-networks, and satisfies the requirement for substitutes to unified AI leaders.
