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# Zuvu AI and Vana Collaborate to Enhance Bittensor’s Distributed Artificial Intelligence
Zuvu AI and Vana have partnered to bolster Bittensor’s decentralized AI, according to an announcement made on February 26th. The objective is to establish a more transparent and economically viable AI environment.
Zuvu AI, previously recognized as SocialTensor, contributes its expertise in expanding four Bittensor (TAO) subnets. Vana, which recently obtained guidance from Binance founder Changpeng Zhao, offers its pioneering user-controlled data network.
This alliance seeks to evaluate a novel AI development paradigm that is transparent, cooperative, and economically sustainable by incorporating essential layers of the decentralized AI stack.
## Establishing Tangible Value
Art Abal, the Managing Director of the Vana Foundation, remarked that the partnership integrates Vana’s data layer, Bittensor’s subnet network, and Zuvu’s economic layer. This integration is crafted to enhance Vana’s DataDAO ecosystem and tackle crucial obstacles in AI development.
Zuvu delivers the economic layer for AI, facilitating investment, staking, trading, and monetization of models, agents, and data, thereby generating fresh prospects in the rapidly expanding market. As stated in the press release, this collaboration arises at a juncture when the AI market is anticipated to attain trillions of dollars by 2032.
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This collaboration with Bittensor is tactical, capitalizing on its incentive-driven network to broaden AI development. By merging user-owned data with permissionless computation and economic incentives, this partnership mirrors the revolutionary influence of decentralized finance on conventional finance.
According to Abal and Daniel Raissar, the COO of Zuvu AI, the collaboration is projected to augment the diversity of Bittensor’s subnets, sustain the expansion of Vana’s DataDAO, and establish Zuvu as a frontrunner in AI financialization, potentially shaping industry norms.
This collaboration corresponds with the inclination toward transparent and reachable machine intelligence, as illustrated by the development of Bittensor to 45 functioning subnets. It further tackles the requirement for options to the dominant, unified AI businesses.
