As a seasoned researcher with a keen interest in AI and blockchain technology, I find this partnership between Constellation Network and Common Crawl Foundation incredibly intriguing. With my background in data integrity and ethical AI practices, the emphasis on comprehensive data archiving, end-to-end encryption, and an ethical AI framework resonates deeply with me.
The Constellation Network, which has been endorsed by the U.S. Department of Defense as part of the Web3 community, unveiled their new blockchain collaboration with the Common Crawl Foundation today. Their goal is to establish an internet data archive for AI education and advancement, using cryptographic security and immutability to ensure its integrity.
This innovative system employs blockchain tech for authenticating and safeguarding about 9 petabytes of online data utilized in educating advanced Large Language Models (LLMs). It ensures increased openness, tracking, and data reliability across the entire AI model creation process.
This cutting-edge, purpose-built network, known as Metagraph, tackles critical issues in artificial intelligence creation and expansion, delving into potential applications of blockchain tech in nascent sectors such as verifying data authenticity, safeguarding user privacy, and ensuring ethical supply chains.
Key Technological Innovations
- Comprehensive Data Archiving: A fully immutable copy of internet history, providing unprecedented transparency and traceability for AI training datasets
- End-to-End Encryption: Cryptographic security that ensures data integrity throughout the AI development lifecycle
- Ethical AI Framework: A robust solution for addressing concerns around data collection, storage, and usage in large language models
According to Alex Brandes, the CTO of Constellation Network, this integration is a vital advancement towards safeguarding the future of AI development. By focusing on the cryptographic reliability and unalterable nature of training data, we are tackling one of the major concerns in the industry right now: the credibility and origin of datasets.
Brandes is confident that their platform will eventually serve as a crucial foundation in the realm of ethical AI creation, establishing novel benchmarks for data authenticity and reliability.
Additionally, the network will employ Constellation’s decentralized graph (DAG) utility asset for securing stored web data crawls. Innovative projects such as TraceAI, which is backed by the National Science Foundation, are already implementing this technology to enhance AI models and create sophisticated watermarking techniques.
TraceAI intends to utilize Common Crawl’s Constellation-constructed solution to expand their efforts in blockchain-secured AI, specifically by incorporating a mechanism to trace the original source of data.
Kevin Jackson, Vice President of Space Domain Communications & Commercialization at Forward EdgeAI, underscores the importance of this advancement, stating, “This marks an organic progression in AI and machine learning model development – transitioning data management from a complex technical hurdle to a reliable business asset that promotes worldwide standardization and verification.
In the upcoming periods, Constellation Network and Common Crawl Foundation plan to collaborate in enhancing solutions for AI developers. This collaboration will also involve incorporating the distribution of cryptographically verified crawl access as a regular feature in the release process.
Rich Skrenta, Executive Director of Common Crawl, stated that for those users who are mindful about the origin of the data, particularly those employing it in AI models, Constellation’s hypergraph blockchain offers a refined solution. He expressed excitement about incorporating the capability to securely verify the crawl as part of our regular distribution by collaborating with Constellation.
Evidence of this integration can be found on Constellation’s transaction viewer, called the “DAG explorer,” and developers can get started using verified historical crawls for AI applications. Please follow along for further solutions to be developed by Constellation Network, Forward Edge-AI, and Common Crawl Foundation.
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2024-12-19 22:30