Zuvu AI together with Vana are cooperating to improve the decentralized AI on Bittensor.
On February 26, Zuvu AI and Vana declared their unification of efforts to make the decentralized AI more powerful within the Bittensor network. Their intention is to construct an AI environment that is more available and financially stable.
Zuvu AI, formerly known as SocialTensor, is contributing its experience in expanding four Bittensor (TAO) subnets. Vana, which recently received guidance from Binance founder Changpeng Zhao, is contributing its innovative user-owned data network.
By uniting key parts of the decentralized AI stack, they are aiming to examine a new method of developing AI that is open, collaborative, and financially sustainable.
## Creating Actual Worth
Art Abal, Managing Director at Vana Foundation, mentioned that this cooperation brings together Vana’s data layer, Bittensor’s subnet network, and Zuvu’s economic layer. This will improve Vana’s DataDAO environment and tackle important difficulties in AI development.
Zuvu is powering the AI economic layer, enabling investment, staking, trading, and monetization of models, agents, and data. This creates new opportunities in emerging markets. According to a press release, this collaboration comes at a time when the AI market is expected to reach trillions of dollars by 2032.
## DeFi’s Growing Disturbance
The integration TruBit Collaborates with Morpho to Introduce DeFi Unearned Revenue in Latin America Bittensor is strategic, as it uses its incentive-driven network to scale AI development. By uniting user-owned data with permissionless computing and economic incentives, this partnership mirrors how decentralized finance is shaking up traditional finance.
According to Abal and Zuvu AI COO Daniel Raissar, this cooperation is expected to enhance Bittensor’s subnet variety, support the expansion of Vana’s DataDAO, and position Zuvu as a leader in AI financialization, potentially influencing industry practices.
This partnership corresponds to the free AI trend, echoing Bittensor’s growth to 45 functioning subnets. It tackles the rising necessity for substitutes for concentrated AI behemoths, presenting a dispersed method to AI progress and creativity.
