7 comments

  • keiferski a day ago ago

    Functionally slush piles are just ignored and have been for awhile. Literary agencies and publishers look for writers with a social media presence now, as it has a major impact on whether the book can be marketed successfully.

  • JojoFatsani a day ago ago

    I don’t think a model will be able to handle the abstract concepts that make a good book worth reading.. it would be selecting for something predictable/boilerplate…

    That said there’s zero doubt in my mind that they will be used heavily in the publishing industry.

  • prxtl 20 hours ago ago

    I don't know if an LLM could make such a judgement "a lot better" in comparison to an intern, but maybe it can be used in a more useful manner? For e.g. maybe it is valuable for an LLM to tell the agency "67% probability of being similar to the mid-performing books of the last 2 years".

  • al_borland a day ago ago

    I don't know anything about this world, but judging a book of the length of the first paragraph seems incredibly shallow and easily gamed.

    • jaredsohn 20 hours ago ago

      Maybe can randomly sample it instead. Would be similar to opening a book to a random page and reading it; not sure how well that would work though.

  • ungreased0675 a day ago ago

    AI might be good at flagging books that deserve a second look. It can match similarly of a manuscript to commercially successful books.

  • wfhrto a day ago ago

    Indirectly, of course, as all new fiction is written by AI, the "slush pile" problem will go away.