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Its not perfect as you’d expect but it turns a minute typing out a well thought question into hours worth of head start into getting into the research surrounding your question (and does it all without sending any data to OpenAI et al). That getting you over the initial hump of not knowing exactly where to start is where I see a lot of the value of LLMs.
I’ll concede that this seems useful in saving time to find your starting point.
However.
Is speed as a goal itself a worthwhile thing, or something that capitalist processes push us endlessly toward? Why do we need to be faster?
In prioritizing speed over a slow, tedious personal research, aren’t we allowing ourselves to be put in a position where we might overlook truly relevant research simply because it doesn’t “fit” the “well thought out question?” I’ve often found research that isn’t entirely in the wheelhouse of what I’m looking at, but is actually deeply relevant to it. By using the method you proposed, there’s a good chance that I never surface that research because I had a glorified keyword search find “relevancy” instead of me fumbling around in the dark and finding a “Eureka!” moment of clarity with something initially seemingly unrelated.
I’ll concede that this seems useful in saving time to find your starting point.
However.
Is speed as a goal itself a worthwhile thing, or something that capitalist processes push us endlessly toward? Why do we need to be faster?
In prioritizing speed over a slow, tedious personal research, aren’t we allowing ourselves to be put in a position where we might overlook truly relevant research simply because it doesn’t “fit” the “well thought out question?” I’ve often found research that isn’t entirely in the wheelhouse of what I’m looking at, but is actually deeply relevant to it. By using the method you proposed, there’s a good chance that I never surface that research because I had a glorified keyword search find “relevancy” instead of me fumbling around in the dark and finding a “Eureka!” moment of clarity with something initially seemingly unrelated.