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)

ChainCatcher news, according to official information, the second batch of mining machines for the AI & DePIN project Network3 will add 5,000 devices. It is reported that to meet market demand, improve equipment quality, and service efficiency, Network3 has launched a supplier recruitment program, seeking long-term partners for mining equipment, and has already reached strategic cooperation with several suppliers.Previously, it was reported that the first batch of mining machines from Network3 sold out immediately, with a strong market response. According to DePINscan data, all 3,000 units of the first batch of N3 Edge V1 devices have been fully on-chain.Additionally, according to RootData, Network3 has achieved $5.5 million in pre-seed and seed round financing, and the next round of financing has already begun, with several leading institutions confirming their participation. The official claims that Network3 has now initiated the on-chain process.

ChainCatcher news, according to official sources, Network3 has launched Jambo Play, and new users can register through the exclusive link of Jambo Play to receive cash and points rewards provided by Network3.Previous report, Jambo announced a strategic partnership with Network3, and both parties will work together to promote the participation of millions of users in emerging countries and regions in DePIN and Edge AI construction. Network3 has built an AI Layer2, aimed at helping global AI developers efficiently, conveniently, and economically perform large-scale inference, training, or validation of models. Currently, there are over 230,000 nodes worldwide, covering more than 184 countries and regions.

ChainCatcher news, according to official sources, Network3 has partnered with SendingMe; SendingMe will assist Network3 in the rapid development and iteration in the community direction.It is reported that SendingMe is committed to creating a free, secure, and simple social area. Network3 aims to help global AI developers efficiently, conveniently, and economically perform large-scale inference, training, or validation of models by building an AI Layer2. Currently, there are over 220,000 nodes worldwide, covering more than 183 countries and regions.The Network3 Node Program has been launched, allowing users to provide inference, fine-tuning, and training services for small AI models by sharing bandwidth, datasets, computing power, etc., in exchange for token rewards.