Whenever I try to learn something, I eventually discover that there was a better approach, a deeper piece of knowledge, or an important connection I had missed. Sometimes I find it in a research paper. Sometimes it’s buried in a Reddit comment. That’s what interests me: the knowledge often already exists. The problem is finding it. Human knowledge is growing faster than any person can realistically keep up with, and much of it is fragmented across papers, books, repositories, articles, and discussions. The connection between two ideas might already be there, but we still have to find and reconstruct it ourselves. I’m working on an idea around this problem: a unified space where knowledge can be collected, connected, compared, and organized. I don’t imagine it as a system you simply ask for answers. I imagine something that can surface alternative approaches, relevant sources, connections between ideas, deeper paths to explore, and contradictions you might otherwise miss. The hard part is understanding that different sources often describe the same idea in different ways. Simply indexing text isn’t enough; the system needs to understand relationships between concepts. I don’t think the goal should be to build “alternative humans” in the form of AI or LLMs. The more interesting goal is to expand our ability to explore the knowledge that already exists. A human can’t read everything. Maybe a system can help us find what we wouldn’t have had the time to discover ourselves. Looking for some comments. submitted by /u/freemind03__
Originally posted by u/freemind03__ on r/ArtificialInteligence