The well-known Web3 ecosystem, Constellation Network has announced a new collaboration with the Common Crawl Foundation. The partnership includes the launch of a custom-built blockchain to develop the earliest-ever cryptographically protected and unchallengeable internet data archive to boost AI development and training.
Constellation Network Offering a Distinctive Data Validation for AI Training
Constellation Network brought to the front that its collaboration with Common Crawl unveils a unique method for the validation. It also enables secure access to seventeen years of internet data, encompassing 9 petabytes of data. As per the platform, eighty percent of the overall Large Language Models leverage the respective data for training AI. For this purpose, they utilize the Constellation-built cryptographically protected blockchain network.
Additionally, the collaboration will use Constellation’s utility asset $DAG to protect the archived internet data. This denotes a noteworthy development in using crypto as an instrument for businesses, letting them notarize data. This shifts the focus from gas fees or user costs to operational cost as opposed to several L1 networks.
End-to-End Data Encryption and Wide-Ranging Data Archiving
The main technological innovations that this collaboration brings include inclusive data archiving, ethical AI agenda, and end-to-end encryption. With a completely immutable copy of the internet data, it provides exceptional traceability and transparency for datasets concerning AI training. Apart from that, it delivers cryptographic security, ensuring the data integrity across the AI development. Moreover, it introduces a strong solution to deal with the concerns regarding data storage, usage, and collection in big language models.
According to the Constellation Network’s CTO Alex Brandes, this integration reflects crucial move to secure the AI future. In the next months, both Constellation Network and Common Crawl Foundation target to work in collaboration to expand solutions for AI builders. Furthermore, the developers can just begin leveraging verified historical data to back AI applications.
