Knowledge curation (not search) is the AI big data problem

4 months ago

Knowledge curation, not search, is the next big challenge in AI and big data.
Wikipedia exemplifies successful knowledge curation by synthesizing information for reuse, unlike search engines like Google.
Enterprise and personal data lack a system like Wikipedia for knowledge curation, presenting an open problem.
AI agents struggle with private data due to unwritten context and 'tribal knowledge'.
Current AI tools focus on retrieval (RAG, vector search) but lack synthesis capabilities.
Knowledge curation involves creating a versioned, citable layer that updates with underlying data changes.
OpenAI and Anthropic are developing solutions for knowledge curation in AI applications.
Expert Systems, combining knowledge bases and inference engines, are becoming viable with LLMs.
The future of AI involves building systems that autonomously process and synthesize unstructured data.

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