Shinkai is pioneering a decentralized data network designed to optimize and expand the capabilities of Large Language Models (LLMs) in the AI-driven digital era. Traditional LLMs are constrained by their static training data, limiting their ability to access and process dynamically updated information. Shinkai addresses this critical gap by creating a trustless network layer that enriches the internet with AI-friendly embeddings. It incorporates a novel file system tailored for AI data management, akin to traditional hierarchical file systems but specifically optimized for efficient storage and retrieval of embeddings. Shinkai leverages a decentralized network of nodes, akin to platforms like Bittorrent, but with a more user-friendly approach and organized categorization of topics and websites. This structure allows for seamless and up-to-date access to a wide array of data sources, enhancing AI's ability to provide timely and contextually relevant responses. A unique aspect of Shinkai is its integration of a zero-knowledge multiparty computation protocol (MPC), ensuring the authenticity and accuracy of data and its embeddings sourced from the web.
Something looks off?