Zuvu AI and Vana are collaborating to enhance decentralized AI on Bittensor.
On February 26, Zuvu AI and Vana revealed a collaboration focused on boosting decentralized AI growth within the Bittensor network. Their intention is to construct a more accessible and economically sound AI environment.
Zuvu AI, formerly recognized as SocialTensor, possesses experience scaling four Bittensor (TAO) subnets. Vana, recently guided by Binance founder Changpeng Zhao, contributes its innovative user-controlled data network.
This collaboration seeks to explore a fresh model for AI growth that is accessible, collaborative, and economically sustainable by incorporating key layers of the decentralized AI stack.
## Establishing Actual Worth
Art Abal, Managing Director of the Vana Foundation, mentioned that this collaboration integrates Vana’s data layer, Bittensor’s subnet network, and Zuvu’s economic layer. This integration intends to enhance Vana’s DataDAO environment and tackle crucial obstacles in AI growth.
Zuvu powers the AI economic layer, enabling investment, staking, trading, and monetization of models, agents, and data. This generates fresh opportunities in a rapidly expanding market. According to the press release, this collaboration arrives at a period when the AI market is anticipated to reach trillions of dollars by 2032.
## DeFi’s Increasing Disturbance
The collaboration’s integration with Bittensor is strategic, leveraging its incentive-driven network to scale AI growth. By uniting user-controlled data with permissionless computation and economic incentives, this collaboration mirrors the disturbance of traditional finance by decentralized finance (DeFi).
According to Abal and Zuvu AI’s COO, Daniel Raissar, the collaboration is anticipated to improve the diversity of Bittensor’s subnets, support the expansion of Vana’s DataDAO, and position Zuvu as a leader in AI financialization, potentially impacting industry practices. TruBit Collaborates with Morpho to Introduce DeFi Unearned Revenue in Latin America
This partnership corresponds to the direction of open AI, reflecting the growth of Bittensor to 45 working subnets, and responds to the need for substitutes for centralized AI giants. It aims to promote a more democratic and accessible AI environment, moving away from the power of some influential figures.
