ChainCatcher news, the Web3 AI Data infrastructure platform PublicAI announced that it has received strategic investment from HumanCode, and the two parties will work together to promote the development of the AI ecosystem. HumanCode will utilize the data labeling and verification services provided by PublicAI to improve the accuracy of its biometric data, including palm recognition technology. Both parties will share business resources and jointly explore the broader potential of the AI and cryptocurrency markets.PublicAI is committed to leveraging blockchain technology to provide AI training data services, aiming to enable everyone to participate in AI training, evaluation, and profit sharing through a decentralized Web3 model.

ChainCatcher news, the distributed AI network PublicAI has reached a partnership with the Solana ecosystem DePIN protocol io.net. PublicAI is already utilizing the GPU computing power provided by io.net, and both parties will build a DeAI data infrastructure to achieve more efficient and secure AI computing.

ChainCatcher news, the distributed AI network PublicAI has reached a cooperation with the AI data service provider ABAKA.AI. PublicAI and ABAKA.AI will conduct comprehensive cooperation in AI data collection, labeling, sales, and other aspects, and will jointly develop IoT DePIN devices to collect AI training data.By fully utilizing the characteristics of Web3, AI data production and sales will be scaled globally. Distributed protocols will enhance data production efficiency, breaking the data bottleneck faced by large model companies and alleviating the impending AI training data shortage in the future. In addition, both parties will collaborate on protecting internet data user ownership, promoting a standard protocol for data collection based on user authorization.It is reported that ABAKA is committed to providing one-stop data management services for AI companies and research institutions. Its developed intelligent data engineering platform (MooreData Platform) and dataset construction service (ACE Service) can meet the data needs of dozens of application scenarios, including autonomous driving, AIGC, and smart healthcare. Its sales volume of autonomous driving data orders has surpassed ScaleAI, ranking first in the world. Previously, it was reported that PublicAI has reached a cooperation with AWS regarding privacy data and has launched an airdrop plan totaling 10%, aimed at incentivizing the community to mine high-quality data from the internet for training AI, jointly promoting the development of the distributed AI network and allowing everyone to share in the AI dividends.

ChainCatcher news, since the launch of the airdrop program "Mine-X-To-Earn" by PublicAI last week, the PublicAI Data Hub has been growing by 200,000 AI training data entries daily. As of the deadline, there are already over 130,000 registered users on PublicAI, providing over 30T of valid data.Previously, PublicAI launched its token airdrop program aimed at incentivizing the community to mine high-quality internet data for training AI, jointly promoting the development of the AI distributed network.

ChainCatcher news, according to official sources, the Solana ecosystem AI project PublicAI has launched the PUBLIC token airdrop plan "Mine-X-To-Earn," which will airdrop 10% of the token supply, aiming to incentivize the community to mine high-quality internet data for training AI and jointly promote the development of a distributed AI network.It is reported that anyone can complete the binding of their X account with the PublicAI on-chain address, mine high-quality tweets, and push data through "@PublicAI_" to earn airdrop points. They can also complete data filtering tasks in the PublicAI Data Center to receive rewards.According to the crypto data platform RootData, PublicAI has previously received seed round investments from IOBC Capital, Foresight Ventures, and the Solana Foundation.

ChainCatcher news, from the official Amazon Web Services website, it has been learned that the distributed AI training network PublicAI, based on Train-AI-To-Earn, has reached a strategic partnership with the world's leading cloud computing platform—Amazon Web Services (AWS), becoming the first AI+Web3 project to join the Amazon Cloud Incubator.This collaboration aims to combine AWS's advanced cloud computing technology with PublicAI's Train-AI-To-Earn mechanism to jointly promote the innovation of AI large model training data services. With the help of AWS's privacy-preserving execution environment Nitro Enclaves, PublicAI will launch a full-chain solution for privacy data collection, cleaning, and labeling, providing efficient and secure data services for AI enterprises.It is reported that PublicAI recently launched an airdrop plan of 10% of the total amount to incentivize users to participate in the AI training network.AWS official link: https://aws.amazon.com/cn/solutions/case-studies/publicai/

ChainCatcher news, according to The Block, the Web3 distributed AI training network PublicAI has completed a $2 million seed round financing, led by IOBC Capital, with participation from Foresight Ventures, Solana Foundation, Everstate Capital, and several well-known professors and academicians in the field of artificial intelligence. The funds raised will be used to accelerate the launch and commercialization of its training network.It is reported that PublicAI is committed to using blockchain technology to scale the production of massive amounts of high-quality training data, aiming to solve all the challenges faced by artificial intelligence to date, allowing all of humanity to participate in the co-construction of artificial intelligence and share its benefits.

ChainCatcher news, LegalDAO has reached a strategic partnership with PublicAI to jointly launch the legal sector's GPT LegalNOW. LegalDAO is committed to building a global WEB3 legal ecosystem, with a community of over 3,000 members from 5 continents, most of whom are senior practitioners with legal backgrounds.PublicAI is a Web3 AI data labeling platform that will provide high-quality training data labeling through a Label-To-Earn mechanism. Its team of professors and PhDs will also provide professional AI algorithm design and model training services for LegalNOW. (source link)