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  • At least one of the links on the post is still to localhost:3000 instead of the vercel page. I don't want to make a substack account to tell the author so hopefully this information finds its way over there.
  • The history section of the book price index is incredibly america-biased. History of america, american natives, japan after ww2 and vietnam in the last century.
  • The article resonates, there is great serendipity in somewhat random exploration of books. But then the web app seems to be the antithesis of this? I clicked a few categories and the top ranked books all had the “popularity contest” smell, sort of the antithesis of random exploration.
  • Suggested additions: the Axiom Business Book Awards, Library Journal Best Books of the Year and Booklist Magazine's Editor's Choice Awards. There's also a few popular substacks that have big sideshows in regular book reviews, but I wouldn't even recommend my favourite for a public aggregator like this.
  • Thank you for this. I sorted the "technology" and "science" sections and saw a few excellent books that I've read and a few that I would really like to read. This motivates me to start setting aside "reading time" again every day, since I've lost that habit.

    The recent "society & culture" books gave me some good book club ideas.

    Bug report: filtering by "award" appears to be broken for some awards. If I select Pulitzer or National Book Award, no books show up, but I can find books with these awards by browsing.

  • I would bet that how your brain stores information that you read from long-form text is very different from how it stores information you acquire from chatting with an LLM. When I read something challenging or new to me I spend a lot of time thinking about how what I'm reading matches my own experiences or knowledge. Although I'm a fairly fast reader, it often takes me a long time to get through difficult pages since I have to stop and think about what I'm reading. I seem to be doing a lot of integrating and reorganizing my thoughts. When interacting with LLMs it feels a lot more like I'm just receiving knowledge passively and I don't think it gets integrated as well. Not sure why this is and its somewhat counterintuitive since I don't think I'd have the same experience with a human tutor.
  • Thank you for sharing this.

    I do think book prizes are a better-than-average signal but I previously volunteered with a book award. I will caution that pretty much every publisher mass-submits these books for consideration in every remotely relevant prize. It is a cost of doing business (similar to how photographers pay to enter photography competitions to try and win the "award winning photographer" title, or businesses submit dossiers with consideration fees on why they're one of Michigan's top 100 places to work).

    There are often so many books and so few willing qualified readers that which books get an award can either be completely arbitrary, or comically easy.

    For example, the NCR Book Award in your book corpus faced a big scandal when it was revealed that the judges did not read the books themselves. [1] The PROSE award is so comically large that an ordinary category finalist or win is usually overstated in prestige and value.

    [1] https://www.theguardian.com/news/2013/may/19/literary-prize-...

  • Not to be intentionally contrarian, but I have thought a lot about this:

    I think good fiction is actually the antithesis of AI, fundamentally. LLMs are really only capable of combining different things into output. This can give you some creative results, but it is ultimately kind of limited. I cannot imagine that prompting an AI a thousand times would give you something truly original in the way many high-quality fictional stories are. The magic and absurdity of life is a necessary thing to create such works.

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