According to @godofprompt, China has developed SciencePedia, an AI-driven alternative to Wikipedia that addresses a fundamental flaw in how scientific knowledge is stored—namely, the loss of derivational reasoning or the 'dark matter' of knowledge. SciencePedia utilizes a Socrates AI agent to generate 3 million first-principles questions across 200 courses, with each question solved by multiple independent large language models (LLMs) and cross-validated for accuracy (source: @godofprompt, Nov 4, 2025). This approach results in a Long Chain-of-Thought (LCoT) knowledge base where every concept is traced back to its foundational principles, enhancing transparency and verifiability. The platform includes a Brainstorm Search Engine for inverse knowledge search, allowing users to follow reasoning chains rather than just retrieve definitions. SciencePedia currently contains 200,000 entries spanning STEM fields, offering articles with 50% fewer hallucinations and higher knowledge density compared to GPT-4 benchmarks. This innovation creates significant business opportunities in AI-powered educational tools, enterprise knowledge management, and scientific research verification.