All I can think of is how, with current models plus a little more Dakka, for genAI to deeply research a topic.
It wouldn’t be free. You might have to pay a fee with varying package prices. The model then buys a 1 time task license for say 10 reference books on the topic. It reads each one, translating it from “the original text and images” to a distilled version that focuses on details relevant to your prompt.
It assembles a set of “notes” where each note cites directly the text it was from. (And another model session validates this assertion)
It constructs a summary or essay or whatever form it needs to be in from the notes.
Masters thesis grade in 10 minutes and under $100...
All I can think of is how, with current models plus a little more Dakka, for genAI to deeply research a topic.
It wouldn’t be free. You might have to pay a fee with varying package prices. The model then buys a 1 time task license for say 10 reference books on the topic. It reads each one, translating it from “the original text and images” to a distilled version that focuses on details relevant to your prompt.
It assembles a set of “notes” where each note cites directly the text it was from. (And another model session validates this assertion)
It constructs a summary or essay or whatever form it needs to be in from the notes.
Masters thesis grade in 10 minutes and under $100...