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# Zuvu AI and Vana Unite Efforts to Enhance Decentralized AI on Bittensor
Zuvu AI and Vana revealed a collaboration on February 26th, intending to greatly improve decentralized artificial intelligence inside the Bittensor network. The objective? To construct an AI environment that is not just more economically secure but also more open and accessible.
Zuvu AI, previously called SocialTensor, provides its knowledge in scaling Bittensor (TAO) subnets to the conversation. Vana, fresh off guidance from Binance creator Changpeng Zhao, contributes its innovative user-possessed data network.
This cooperation is about testing a new model for AI development– one that’s collective, open, economically sustainable, and constructed by integrating key layers of the decentralized AI stack.
## Developing Actual Worth
Art Abal, Handling Director at Vana Foundation, highlights that this collaboration integrates Vana’s data layer, Bittensor’s subnet networks, and Zuvu’s economic layer. This combination intends to improve Vana’s DataDAO environment and deal with some of the biggest difficulties in AI development.
Zuvu is powering the AI economic layer, making it possible for investment, staking, trading, and adaptation of models, agents, and data. This opens new chances in a rapidly broadening market. According to a press release, the collaboration comes at a time when the AI market is projected to reach trillions of dollars by 2032.
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The collaboration strategically integrates with Bittensor, utilizing its incentive-driven network to scale AI development. By integrating user-possessed data with permissionless computing and economic rewards, this cooperation mirrors how decentralized finance is shaking up traditional finance.
According to Abal and Daniel Raissar, COO of Zuvu AI, this collaboration is anticipated to enhance the variety of Bittensor’s subnets, support the expansion of Vana’s DataDAO, and position Zuvu as a leader in the financialization of AI, potentially affecting industry practices along the way.
This partnership corresponds with the open-source artificial intelligence trend, echoing the growth of Bittensor to 45 functioning subnets. It constitutes an explicit reaction to the requirement for substitutes to consolidated artificial intelligence titans, presenting a dispersed method to artificial intelligence creation and ingenuity.