I’ve been trying to use Deep Research tools as a way to find hyper-specific fiction recommendations as well. The results have been mixed. They don’t seem to be very good at grokking the hyper-specificness of what you’re looking for, usually they have a heavy bias towards the popular stuff that outweighs what you actually requested[1], and if you ask them to look for obscure works, they tend to output garbage instead of hidden gems (because no taste).
It did produce good results a few times, though, and is only slightly worse than asking for recommendations on r/rational. Possibly if I iterate on the prompt a few times (e. g., explicitly point out the above issues?), it’ll actually become good.
Like, suppose I’m looking for some narrative property X. I want to find fiction with a lot of X. But what the LLM does is multiplying the amount of X in a work by the work’s popularity, so that works that are low in X but very popular end up in its selection.
I tend to have some luck with concrete analogies sometimes. For example I asked for the equivalent of Tonedeff (His polymer album is my favorite album) in other genres and it recommended me Venetian Snares. I then listened to some of his songs and it seemed like the kind of experimental stuff where I might find something I find interesting. Venetian Snares has 80k monthly listeners while Tonedeff has 14K, so there might be some weighting towards popularity, but that seems mild.
I’ve been trying to use Deep Research tools as a way to find hyper-specific fiction recommendations as well. The results have been mixed. They don’t seem to be very good at grokking the hyper-specificness of what you’re looking for, usually they have a heavy bias towards the popular stuff that outweighs what you actually requested[1], and if you ask them to look for obscure works, they tend to output garbage instead of hidden gems (because no taste).
It did produce good results a few times, though, and is only slightly worse than asking for recommendations on r/rational. Possibly if I iterate on the prompt a few times (e. g., explicitly point out the above issues?), it’ll actually become good.
Like, suppose I’m looking for some narrative property X. I want to find fiction with a lot of X. But what the LLM does is multiplying the amount of X in a work by the work’s popularity, so that works that are low in X but very popular end up in its selection.
I tend to have some luck with concrete analogies sometimes. For example I asked for the equivalent of Tonedeff (His polymer album is my favorite album) in other genres and it recommended me Venetian Snares. I then listened to some of his songs and it seemed like the kind of experimental stuff where I might find something I find interesting. Venetian Snares has 80k monthly listeners while Tonedeff has 14K, so there might be some weighting towards popularity, but that seems mild.