DePIN

Network3 mining machine ranks first in both daily earnings and payback period on Depinscan

ChainCatcher news, recently, the Edge v1 miner launched by the decentralized edge artificial intelligence infrastructure platform Network3 has achieved remarkable results. According to the latest data from Depinscan, the daily earnings of the Network3 miner have reached a new high, shortening the payback period to 71 days. This has secured its top position in both the payback period ranking and daily earnings ranking, showcasing its strong ecological potential and user value. Meanwhile, reliable sources have revealed that Network3 will launch a large TGE airdrop event, and the final round of Pre-TGE financing is about to be completed.The Network3 miner provides a stable source of income for global users by supporting AI data processing and computing tasks. With the number of nodes exceeding 542,827, distributed across 188 countries and regions, the efficiency of Network3's decentralized network continues to improve. This ranking further proves its leading position in the decentralized AI infrastructure field.Network3 has secured $5.5 million in investments, with investors including top institutions such as Borderless, EV3 Labs, IoTeX Eco Fund, Mask Network, Bing Venture, Waterdrip Capital, SNZ, and Candaq. The team is actively expanding the influence of Network3, with N3E points redemption and staking activities set to launch soon, and TGE will take place in the near future.

"DeInsight 2024" Roundtable Discussion: Decentralized AI & Depin Facing Multiple Challenges such as Supply-Side Oversupply and Privacy Risks

ChainCatcher on-site report****,**** io.net Asia-Pacific Regional Head Asa, Multiple Network APEC Director Frank, Olares Partner Cryptobird, Network3 Marketing Head Eliza, and Open Data Labs CEO and Vana Co-founder Anna Kazlauskas jointly attended "DeInsight 2024" and engaged in an in-depth discussion on the development challenges, incentive models, and future trends of decentralized AI & Depin in a roundtable titled "New Forces in Decentralized AI & Depin."Asa stated that the biggest challenge faced by io.net in its early days was balancing decentralization with reliability. When its network allows anyone, any hardware, and any account to enter, ensuring there are no fake accounts and maintaining network performance is no easy task.Anna Kazlauskas mentioned the challenge of oversupply on the supply side. When a value network built on a large amount of computing power, data, and other resources cannot ensure alignment with the demand side, the actual assets behind it may hold no value.Regarding the industry issue of oversupply on the supply side, Frank mentioned that Multiple Network suggests distinguishing whether devices in decentralized AI projects are in standby or working status and using targeted token incentives to reduce unnecessary consumption on the supply side and lower token output.The guests generally believe that the decentralized AI & Depin industry is in its early stages and has not yet found widely accepted and recognized application scenarios. Eliza shared a marketing perspective, noting that decentralized AI & Depin often face competitors in the traditional IoT and consumer markets. Providing users with more practical scenarios that allow them to use and benefit directly is a key issue for the next stage.Additionally, the guests commonly mentioned the challenges faced by decentralized AI & Depin projects in protecting user privacy data.Remote participation👉Video live link: https://www.youtube.com/live/tTVcUPumPysImage live link: https://www.pailixiang.com/album_ia7637038926.html(Source link)
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