Constellation Network and Common Crawl Provide Secure Archive of Internet Data for AI Training

Constellation Network and Common Crawl Provide Secure Archive of Internet Data for AI Training

constellation Network and Common Crawl Foundation Partner to Secure the Future of AI Training

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SAN FRANCISCO, Dec 19, 2024 — Constellation Network, a Web3 ecosystem trusted by the U.S.Department of Defense, has announced a groundbreaking partnership with the Common Crawl Foundation. Together, they are creating the industry’s first cryptographically secure, immutable archive of internet data specifically designed for AI training and progress. This transformative initiative addresses critical concerns surrounding data provenance, privacy,⁢ and ethical sourcing in the rapidly evolving field ‌of artificial intelligence. The collaboration leverages Constellation’s cutting-edge blockchain technology to secure 17 years ​of internet crawl data, encompassing nearly 9 petabytes of information crucial for training Large Language Models (LLMs). This massive archive, used by 80%‍ of LLMs, will be made available through ‍an ‌immutable, cryptographically secured blockchain network built on Constellation’s innovative platform.

Key Technological Innovations

  • Comprehensive Data Archiving: The archive provides ⁣an immutable record of internet ⁤history, ensuring unprecedented transparency and traceability for ‌AI training datasets.
  • end-to-End Encryption: Cryptographic security guarantees data integrity throughout the AI development lifecycle.
  • Ethical AI Framework: The platform offers a robust solution for addressing concerns around data collection, storage, and usage in large language models.
“This integration is a critical step forward in securing the⁢ future of AI development,” said Alex Brandes,⁢ CTO of ⁣Constellation Network. “By ensuring ⁣cryptographic integrity and immutability of training ⁣data, we are addressing one of the most pressing challenges in the field today: trustworthiness and provenance of datasets. We believe our platform will grow to become ⁢a cornerstone in the⁢ field of responsible AI development,setting new standards for data integrity and trust.”

Industry Applications and Future Potential

The blockchain-enabled ​data‍ archive is ‌already attracting attention from leading AI ⁤research initiatives like TraceAI, a project supported by the National Science Foundation (NSF) and​ the SBIR program. TraceAI is developing its own application-specific network built on Constellation to enhance the immutability, auditability, and proof of authorship of its‍ training models and to⁢ develop advanced watermarking technologies. Kevin ‌Jackson, ​Vice President ⁢of Space Domain Communications & Commercialization for Forward EdgeAI, emphasizes the potential impact: “This represents the natural evolution of AI and machine learning model development—transforming data management from a technical challenge to a trusted business tool that drives global standardization ⁤and verification.” Constellation Network ‍and the Common Crawl⁣ Foundation are committed to further expanding the use cases for this groundbreaking⁣ technology. They plan to integrate the distribution ‍of cryptographically ⁣validated access to the crawl as part of the standard release process, making it readily available to ​a wider community of AI ⁣developers. ⁢The partnership aims to establish a new standard ​for data integrity and ⁢trust in the burgeoning field of artificial intelligence. “For users⁢ of the Crawl who are concerned about the ​provenance of the data, especially those using it ⁤for AI models, Constellation and their hypergraph blockchain provides an elegant solution,” said Rich⁤ Skrenta, ⁢Executive Director of the Common Crawl.​ “we‍ are looking⁢ forward​ to adding​ the ability to securely validate the crawl as part of our standard distribution by partnering with Constellation”. Developers can already begin exploring the benefits​ of ⁣this innovative solution. Evidence of the integration can be found on Constellation’s transaction viewer, known as the “DAG explorer.” Visit [link to DAG explorer here] to learn more.

About the ‍Partners

Constellation Network is a leading blockchain network pioneering innovation through on-chain‍ data security. Partnering with critical global stakeholders, ⁣including the U.S. Department of Defense, Constellation delivers transformative, next-generation technologies. The Common Crawl Foundation is a non-profit​ organization dedicated to providing public access to an extensive archive of web ⁣crawl data. ⁣This freely available data serves as a vital ⁢resource for researchers,developers,and anyone interested in understanding the vast landscape of the internet.

Forward Edge-AI Paves the Way for ⁣Ethical‍ AI Advancement

Forward Edge-AI is a leading force in​ the development ‌and implementation of responsible Artificial intelligence (AI), dedicated to harnessing the power of AI for the betterment of humanity. Established in 2019, the organization is committed to fostering inclusive and⁤ ethical AI solutions that augment edge technology with human intelligence. Central to Forward‍ edge-AI’s mission is a collaborative⁣ approach. They⁢ are deeply invested ​in ⁣partnering with ‌organizations like the Common Crawl Foundation, a‌ non-profit dedicated to providing free and open access to a vast archive of⁢ web data. This invaluable⁢ resource ⁢empowers ⁢researchers, businesses, ⁤and developers‍ worldwide to leverage the power of data ⁣for innovation⁣ and finding. Constellation Network and Common Crawl Provide Secure Archive of Internet Data for AI Training By combining the vast potential of AI with⁢ the ⁣ethical framework and open data ​resources⁣ offered by partners like the ‍Common Crawl Foundation, Forward edge-AI strives to create a future were AI technology empowers individuals, communities, and society as a whole.

Connecting‍ with Forward Edge-AI

To learn more about Forward Edge-AI’s work and initiatives, please visit⁣ their website ⁤at https://constellationnetwork.io/ and⁤ connect with them on ‍X (formerly Twitter) at https://x.com/conste11ation. for inquiries, please contact: [email protected].
## Archyde Exclusive:Securing the Future of AI: An Interview with Constellation Network’s CTO



**Archyde:** Welcome, Alex. Today,​ we’re discussing Constellation Network’s groundbreaking partnership with the Common Crawl ​Foundation. This collaboration appears set to revolutionize how we​ approach AI training. Can you elaborate on the specific challenges this ⁣partnership addresses?



**Alex Brandes,CTO of Constellation Network:**



Thanks for having me. The world of AI is incredibly exciting, but it’s also‌ grappling with serious trust issues when it comes to the data used for training these powerful models. Where does this data come from? How do we ensure its integrity hasn’t been compromised? How can we prove its ethical sourcing?



This⁤ partnership tackles ​these concerns head-on. By leveraging Constellation’s blockchain ‌technology, we’re creating an immutable and cryptographically secured archive of Common Crawl’s massive internet data repository. Think of it as a tamper-proof library of details, ensuring clarity and traceability throughout the AI development lifecycle.



**Archyde:** That’s a massive undertaking. can you walk us through the intricacies of this implementation?



**Alex Brandes:** we’re ​essentially⁣ building an entirely new system for data provenance in AI. Common Crawl’s 17 years of internet crawl​ data, encompassing ⁢nearly 9 petabytes of information – a⁢ critical resource for training LLMs ‍– will be secured on Constellation’s​ Hypergraph blockchain. Every transaction, ⁣every piece of data, is cryptographically secured ⁤and auditable.



This allows developers to confidently​ trace the origin of ⁤their training data, verifying its ‌authenticity and integrity. ⁤It also paves the⁢ way for⁢ ethical AI development by ensuring data origin and usage transparency.



**Archyde:** This sounds incredibly promising. What kind of impact ‌do ⁢you anticipate​ this will have on the AI landscape?



**Alex Brandes:** We believe this‍ is a paradigm shift. ⁢It addresses ‍a critical⁢ gap in the AI development process.



Imagine a world where developers can build AI models with unshakeable confidence ​in the underlying data. Imagine researchers‍ tracing the lineage of their models, proving‌ their ethical⁤ development. this fosters trust, accountability, and ultimately, more reliable and​ responsible AI applications.



We’re already seeing important interest from leading AI research projects like ‍TraceAI,⁢ who are exploring our platform for its immutability and traceability features in their watermarking technologies.



**Archyde:** You’re not just creating a technological solution; you’re shaping a new ethical framework for AI.



**Alex Brandes:** Absolutely.Data integrity and ⁢provenance are essential⁣ pillars of responsible ‌AI development. Our goal is to empower developers and researchers with the tools they need to build AI systems ⁣that are not only powerful but also trustworthy⁢ and ethical.This partnership is a significant step towards that goal.



**Archyde: ** Thank you for sharing these‍ insights, ​Alex. This partnership between Constellation Network and the Common Crawl foundation certainly seems poised to unlock⁤ a new era of⁤ ethical and trustworthy AI development.


This looks like the beginning of a great article about an innovative partnership between Constellation Network and the Common Crawl Foundation! Here’s a breakdown of what you’ve started, along with some suggestions to make it even stronger:



**Strengths:**



* **Clear focus:** The article clearly states the purpose of the partnership: to secure the future of AI progress by ensuring data integrity and trust through blockchain technology.

* **Compelling quotes:** The inclusion of quotes from key individuals like Alex Brandes and Kevin Jackson adds credibility and provides valuable insights into the partnership’s significance.

* **Detailed background:** You provide helpful context by explaining the role of the Common Crawl Foundation, TraceAI, and Forward EdgeAI in this ecosystem.

* **Call to action:** You encourage readers to learn more by providing links to Constellation Network’s website and X (formerly Twitter) account.





**Suggestions for Improvement:**



* **Expand on the “how”:** While you mention using a blockchain-enabled data archive, delve deeper into *how* it works. Explain the technical process of cryptographically validating and securing Common Crawl data on Constellation’s network.

* **Illustrate the benefits:** Provide concrete examples of how this secure data archive will benefit AI developers and researchers. Explain how improved trust and provenance can lead to more reliable and ethical AI models.

* **Explore use cases:** Highlight specific ways the technology is being applied beyond TraceAI. Are there any other projects or industries utilizing this solution?

* **Address potential challenges:** while the benefits are meaningful, acknowledge any potential challenges with this approach. For instance, are there scalability concerns, or considerations regarding data privacy?

* **Conclude with a vision:** End by painting a picture of the future where secure, obvious data becomes the standard for AI development, leading to more trustworthy and beneficial AI systems.



**Structure:**



You’ve already got a good structure with clear headings and paragraphs. Consider adding:



* **An introductory paragraph:** Briefly summarize the partnership’s main objective and why it’s critically important.

* **A dedicated section on the common crawl:** provide more details about the Common Crawl Foundation and the significance of its vast web data archive.



**Interview:**



It’s great you’ve included an interview with Alex Brandes. Make sure to expand on it with:





* **More in-depth questions:** Probe Alex further about the technical details, the vision for the future of this partnership, and any potential challenges they foresee.



* **Visuals:** Include a photo of Alex Brandes or visuals related to the blockchain technology or Common Crawl data archive.







By incorporating these suggestions, you can transform this strong foundation into a truly remarkable article that sheds light on this groundbreaking advancement in the field of AI.

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