OK you read the headline.

Imagine if Caliber had an AI tool that trained itself on all its books such that a user could ask a question regarding those specific books. And then extrapolate. Imagine if anyone anywhere could then ask questions to your local AI and get answers without actually sharing your books.

Right now I host my own Caliber server but I don’t even know if I can search a term and get a particular book that contains thar term. I think it can search the title and metadata. I’m probably wrong. But the point is that it could be so much more. And it could circumvent the copyright laws that have always held back knowledge.

Like maybe my car broke down and I could ask IA why and how to fix it. Then it would start asking for the make and model and what sort of sounds it made. It would then search forums, our books and formulate an answer composed in the form of a book specifically written for me about my car’s particular problem and how to solve it. Maybe better just a speech that you could listen to while fixing the car step by step…“now look a little to the left and you’ll find a large box with 3 screws…”

It would be awesome to have that locally for my books and have access to everyone else’s knowledge in books too.

  • altphotoOP
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    2 days ago

    I only used that as an example that is relatable. At work we are always making new data. Gigabytes hand over fist. But to decipher that data it is a gargantuan task for little or nonprofit to the company. That means Nobody gets to learn from the data. But if I could write my observations along with the data into a format that AI could learn from, then it could help me dig deeper and deeper into answers. But you know, its all complicated stuff. Back at home sure Dali llama can tell me the square root of the speed of light in lithium crystals. That’s everyday information. But I want to known how to use that information to build bigger and better things.

    • altphotoOP
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      2 days ago

      LOL:
      In summary, the speed of light in lithium crystals such as lithium niobate is about 1.36×1081.36×108 m/s, and in lithium fluoride, it’s about 2.16×1082.16×108 m/s, both significantly slower than in a vacuum due to their respective refractive indices. Just take the square root of that LOL.