Akashic Record: a project aimed at integrating all human knowledge (texts, images, audio, video, datasets, code, interactive content, etc.) into a global knowledge-sharing platform accessible to everyone to democratize knowledge, eliminate educational and research disparities, and foster innovative ideas and problem-solving; • Basic Features: eliminate single points of failure with a distributed architecture; ensure transparency and trust via blockchain technology; implement a unique virtual cryptocurrency for valuation and reward systems; utilize large language models for organizing, automatically categorizing, and summarizing knowledge; support multiple languages, collaborative editing, version control, and various media formats; • System Architecture: comprises key layers that work in close integration—Frontend Layer (providing user interfaces via web and mobile apps for browsing content, collaborative editing, commenting, and viewing dashboards with statistics); Middleware/API Layer (handling data integration between frontend and backend components with authentication, data processing, and API endpoints); Backend Layer (serving as the core of the platform by integrating content creation, editing, version control, collaborative editing, automatic categorization and summarization using NLP, search functions, evaluation/feedback, and reward systems); Blockchain/Distributed Storage Layer (recording knowledge submissions, evaluations, cryptocurrency transactions, and governance transactions on a blockchain network while ensuring tamper-resistant storage of large-scale content through distributed storage); Database/Cache Layer (providing structured data storage and fast search capabilities); and Infrastructure/Operations Layer (managing hosting, container orchestration, CI/CD, monitoring, log management, and security); • Detailed Functional Specifications: the Knowledge Sharing Platform allows users to post and edit various knowledge formats (text, images, audio, video, datasets, code, interactive content) with features like version control, real-time collaborative editing, and commenting for teamwork and history management, along with automatic categorization, tagging, knowledge graph generation, and summarization to enhance organization and search; Large Language Model (LLM) capabilities include processing multimodal inputs to automatically categorize, summarize, translate, answer questions, transform writing styles, and check grammar, while also performing automated content evaluation and quality control for personalized information delivery; the Evaluation/Feedback System uses user ratings (likes, star ratings), expert and peer reviews, and usage statistics, combined with AI-driven quality checks and meta evaluations to award virtual currency-based rewards; the Virtual Cryptocurrency System automatically manages currency issuance, circulation, value adjustments, and reward payments via smart contracts to compensate intellectual contributions and evaluation activities; the Blockchain Network records transactions related to knowledge submissions, evaluations, cryptocurrency dealings, and governance, integrating decentralized IDs and DAO functions for enhanced transparency and trust; the Distributed Storage System ensures the storage and global distribution of large-scale content (such as images, videos, and audio) using distributed storage technology; the API Layer/Integration Services provide APIs for seamless data integration among frontend, backend, and external systems, supporting integration with educational institutions, research organizations, and collaborative platforms; Security, Authentication, and Privacy are ensured through multi-factor authentication, decentralized IDs, state-of-the-art encryption for communications and data storage, robust access controls, and intellectual property management; and the Infrastructure/Operations component features a fully containerized system scalable via orchestration, with CI/CD pipelines, monitoring, log management, and security audits to guarantee stable and transparent operations; • System Operations and Future Prospects: operations are handled via independent microservices that can scale out as needed with automatic improvement loops based on user feedback and evaluations, while future prospects include enhanced interoperability among multiple blockchains, strengthened AI-driven content personalization and self-improvement, expanded governance functions with community-driven decision-making processes, and integration with edge computing and decentralized cloud services for low-latency distribution.