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## Zuvu AI and Vana Unite to Strengthen Decentralized AI on Bittensor
Zuvu AI and Vana have joined forces to enhance decentralized AI on the Bittensor network. Their objective? To construct a more accessible and economically feasible AI environment.
Zuvu AI, previously recognized as SocialTensor, contributes expertise in expanding Bittensor subnets. Vana, recently guided by Binance creator Changpeng Zhao, provides its user-controlled data network. TruBit Collaborates with Morpho to Introduce DeFi Unearned Revenue in Latin America
By merging crucial components of the decentralized AI stack, this alliance seeks to examine a fresh blueprint for AI progress – one that’s transparent, cooperative, and financially stable.
## Producing Tangible Worth
Art Abal, Managing Director at Vana Foundation, emphasizes that this collaboration incorporates Vana’s data tier, Bittensor’s subnet network, and Zuvu’s economic tier. This combination intends to enhance Vana’s DataDAO environment and confront fundamental obstacles in AI progress.
Zuvu fuels the AI economic tier, facilitating investment, staking, trading, and monetization of models, agents, and data. This forges novel prospects in a swiftly growing market. The alliance arrives at a juncture when the AI market is anticipated to attain trillions of dollars by 2032.
## DeFi’s Increasing Disturbance
The collaboration and integration with Bittensor is tactical, capitalizing on its incentive-motivated network to broaden AI progress. By uniting user-controlled data with permissionless computation and economic incentives, the alliance mirrors the disruptive essence of decentralized finance (DeFi) in conventional finance.
According to Abal and Zuvu AI COO Daniel Raissar, the collaboration is projected to enrich Bittensor’s subnet variety, bolster Vana’s DataDAO growth, and situate Zuvu as a frontrunner in AI financialization, possibly swaying industry customs.
This partnership corresponds to the AI open-source trend, much like Bittensor has expanded to encompass 45 operational subnetworks. It also tackles the increasing need for substitutes for dominant AI corporations.