As a researcher with years of experience in the AI and blockchain industry, I am thrilled by this strategic partnership between io.net and Mira Network. In my career, I have seen firsthand the challenges businesses face when trying to adopt AI due to its inconsistency and high error rates, particularly in advanced reasoning tasks.
As an analyst, I am excited to share that our team at io.net, focusing on DePIN for GPU compute, has recently entered into a strategic partnership with Mira Network. This collaboration is aimed at tackling the complex issues surrounding AI accuracy and dependability. Together, we aspire to develop robust, scalable, and decentralized solutions tailored for sophisticated AI applications.
Through this collaboration, Mira Network can expand its operational capacity at a reduced cost and lower latency, leveraging io.net’s distributed GPU network infrastructure.
The deal will also support Mira Network’s Node Delegator Program, an initiative which allows contributors to delegate GPU resources. It enables users to support Mira’s consensus operations while earning network rewards.
As a crypto investor, I appreciate the ease that Mira Network’s Node Delegator Program offers me and others, reducing the technical hurdles when wanting to join the decentralized AI ecosystem. In simpler terms, this program makes it possible for individuals like myself and organizations to get involved in this exciting space without needing extensive tech skills.
According to Tausif Ahmed, Chief Business Development Officer at io.net, AI’s true capabilities will be fully harnessed when it can consistently deliver impartial and dependable insights. He further explains that by collaborating with Mira Network, we not only tackle the challenges related to AI’s accuracy but also showcase the might of decentralized computation.
Despite the rapid expansion of AI use, many businesses struggle to adopt it effectively, particularly in tasks demanding sophisticated reasoning, where errors can reach as high as 30%. Mira Network addresses this issue by introducing innovative solutions and assessing AI-produced results across multiple models. The new integrations reduce initial mistakes to less than 5%, with the goal of minimizing errors even further, ideally below 0.1%, through ongoing research.
In a recent statement, the Head of Growth at Mira Network, Stone Gettings, expressed his belief that the immense capabilities of Artificial Intelligence are yet to be fully realized. He emphasized that for AI’s widespread adoption to speed up, it must demonstrate reliability and trustworthiness.
“As we prepare to launch our Node Delegator Program, the support of io.net will prove invaluable in further decentralizing our network while providing users with access to reliable GPUs,” Stone added.
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2024-12-10 17:42