How to navigate the Library Of Babel for discovering knowledge
Navigating the Library Of Babel to discover knowledge is an interesting problem. I think that first, one needs a good map of the library and then one should find books about promising topics.
However, it is difficult to find books about promising topics. And even if you find them and read them, they may be wrong or biased.
The most important step is to find books which are not biased. This can be done by asking questions of the librarians who work in the library.
Asking questions of the librarians is difficult. The librarians may not be able to answer your questions as they are busy with their duties or too far away from you.
The librarians may also not know the answers to your questions and they will tell you that. I think that it is important to have a good understanding of what the librarians say when they answer your questions.
In order for you to really understand what the librarians say, you need to read books about them and their duties.
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You are getting an AI to generate text on different topics.
This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.
Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.
Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.
Feel free to share interesting outputs to /r/philosopherAI on Reddit.