Zuvu AI and Vana are collaborating to enhance decentralized AI on Bittensor!
On February 26, Zuvu AI and Vana revealed their alliance, aiming to improve AI on Bittensor. Their goal is to establish a more financially sound and accessible AI ecosystem.
Zuvu AI, formerly SocialTensor, has experience in expanding Bittensor subnets, while Vana, recently guided by Binance founder Changpeng Zhao, introduces its pioneering user-owned data network.
By merging vital components of the decentralized AI stack, this partnership seeks to explore a novel approach to AI development that is transparent, cooperative, and financially viable.
## Establishing Tangible Worth
Art Abal, Managing Director of the Vana Foundation, noted that this collaboration unites Vana’s data layer, Bittensor’s subnet network, and Zuvu’s economic layer. This will enhance Vana’s DataDAO ecosystem and tackle significant challenges in AI development.
Zuvu drives the AI economic layer, enabling investment, staking, trading, and monetization of models, agents, and data. This generates fresh prospects in a swiftly expanding market. As per the press release, this collaboration occurs when the AI market is projected to reach trillions of dollars by 2032.
## DeFi’s Increasing Disturbance
The integration with Bittensor is tactical, as it utilizes its incentivized network to broaden AI development. By uniting user-owned data with open computing and economic incentives, this collaboration mirrors how decentralized finance is disrupting conventional finance.
According to Abal and Zuvu AI’s COO, Daniel Raissar, this alliance is anticipated to enrich the diversity of Bittensor’s subnets, bolster the expansion of Vana’s DataDAO, and establish Zuvu as a frontrunner in AI financialization, potentially shaping industry norms.
This partnership corresponds to the increasing pattern of open-source AI, as shown by Bittensor’s development to 45 dynamic subnets. It is a definite reaction to the request for substitutes to unified AI titans, providing a more distributed and cooperative method to AI progress.
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