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For a while now, I’ve been working on how AIthena, our intelligent book guide, could replicate the experience of a used bookstore. This first version is still a work in progress, but it’s getting closer to capturing that essence. It started with analyzing roughly 100 million book reviews to distill the core of diverse reading preferences. After countless iterations, I balanced the Pareto frontier between latent representation and model accuracy to craft what you’ll see here. Books are grouped based on favorability and connections—titles closer together represent stronger affinities. AIthena draws upon the wisdom of both human curation and AI intelligence to make suggestions reminiscent of those in a cozy used bookstore. Dive in, explore, and don’t forget to maximize the experience by clicking the full-screen button