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## Zuvu AI and Vana Unite Efforts to Enhance Distributed Intelligence on Bittensor
Zuvu AI and Vana are collaborating to improve distributed intelligence on the Bittensor system. The purpose? To construct an AI environment that is more accessible and economically viable.
Zuvu AI, formerly known as SocialTensor, is contributing its expertise in expanding four Bittensor (TAO) subnets to the discussion. Vana, which recently received recognition from Binance creator Changpeng Zhao, is donating its innovative user-controlled data network. TruBit Collaborates with Morpho to Introduce DeFi Unearned Revenue in Latin America
This collaboration is focused on investigating a new, cooperative, and sustainable strategy for AI development by combining essential layers of the decentralized AI stack.
## Producing Tangible Worth
Art Abal, Managing Director at Vana Foundation, stated that this cooperation integrates Vana’s data layer, Bittensor’s subnet systems, and Zuvu’s financial layer. This will improve Vana’s DataDAO environment and address significant difficulties in AI development.
Zuvu is fueling the AI economic layer, allowing investment, staking, trading, and monetization of models, agents, and data. This generates new possibilities in a rapidly growing market. The news statement emphasizes that the AI market is predicted to reach trillions of dollars by 2032.
## DeFi’s Increasing Disturbance
The integration with Bittensor is tactical, leveraging its incentive-driven network to scale AI development. By integrating user-controlled data with permissionless computation and economic incentives, this collaboration mirrors how decentralized finance is disrupting traditional finance.
Abal and Zuvu AI COO Daniel Raissar think this collaboration will increase the diversity of Bittensor’s subnets, support the growth of Vana’s DataDAO, and position Zuvu as a leader in AI finance, potentially impacting industry standards.
This partnership corresponds with the increasing pattern of publicly releasing AI, as shown by Bittensor’s development to 45 functioning subnetworks. It additionally tackles the demand for substitutes to concentrated AI behemoths.
