OriginTrail(TRAC) A Truly Open AI Release

A Truly Open AI, where Your knowledge network is Your net worth. Build your AI-powered trusted knowledge foundation with ChatDKG. Built with open-source components, the AI-powered ChatDKG search uses Knowledge Assets as the underlying source of knowledge. This eliminates misinformation and enables users to verify the information provenance used to answer their question.

Why OriginTrail-powered verifiable Internet for AI?

Verifiable Internet for AI leverages the synergies of crypto, the Internet, and AI technologies. With the novel Decentralized Knowledge Graph (DKG) approach it ensures the provenance, integrity, and verifiability of information utilized by AI systems. It aims to address the challenges posed by misinformation, data ownership, intellectual property rights, and biases inherent in AI technologies, by synergizing neural and symbolic AI approaches with Web3 technologies.

In an era marked by abundant connectivity and, unfortunately, abundant misinformation, the need for reliable data has never been more crucial. The OriginTrail DKG stands out as an open-source, trusted knowledge infrastructure that leverages blockchain and knowledge graph technologies and is founded on the principles of neutrality, inclusiveness, and usability.

As Dr. Bob Metcalfe, the inventor of Ethernet and an Internet pioneer, notes, knowledge graphs are critical in improving the fidelity of artificial intelligence. By leveraging the synergies of knowledge graph and blockchain technologies, OriginTrail DKG enables structuring and connecting data, making it discoverable, verifiable, and ownable in the form of knowledge assets, and, as such, usable for verifiable AI solutions employing the innovative Decentralized Augmented Generation (dRAG) framework.

By introducing the dRAG framework, the OriginTrail-powered verifiable Internet for AI builds on and expands the concept of Retrieval Augmented Generation (RAG), a key paradigm for builders in the AI space looking to feed large language models (LLMs) with specific context and datasets. Besides empowering builders to develop verifiable AI solutions based on trusted knowledge, the dRAG framework also opens up a tremendous opportunity for connecting individual knowledge bases that AI builders are creating and curating for their RAG pipelines, enabling the sharing of knowledge and value between AI systems in a decentralized way.

Learning to build and leverage a verifiable Internet for AI with OriginTrail, therefore, allows AI pioneers to seize the opportunities analogous to those previously seized by advances in networking that early computer networks such as Ethernet and the Internet brought about. Opportunities that have demonstrated tremendous value generation through network effects famously articulated in Metcalfe's law.

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