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The qualitative difference is that it searches semantically across unstructured data and is able to cleverly combine related searches into an answer. Imagine S
by scotty79 1mo ago
The qualitative difference is that it searches semantically across unstructured data and is able to cleverly combine related searches into an answer.
Imagine SQL but the queries mostly write themselves and database is just entirety of human knowledge with no formalization. If you were to create such thing 7 years ago you'd say somebody expects a miracle out of you. I don't get why so many people have trouble recognizing it now as such.
- lolakutty 1mo agoYes, it is a very efficient search tool for existing data..
- scotty79 1mo agoComming back to SQL analogy... When you make a view over existing data tables that calculates something novel did you extend the amount of existing data? Because AIs are sort of like that. Creating views of existing data no human has ever came up with. Views that might unlock new even more surprising and useful views. They are sort of materialized views because we are writing down what LLMs came up with. So they are new data tables. Derived, true. But possibly novel and unlocking something else.
- lolakutty 29d agoSorry. I don't agree that it "create" views autonomously. A human has to create a view in a database. In the case of LLM, a human has to create a "prompt" that the LLM just continue, based on the patterns humans has created in the past.