Tag: Memory

  • The world is bigger than you can imagine – by Scott Sumner

    Most economies are very large and complex, and even relatively free market economies have extensive government intervention. This complexity allows people to find evidence to support almost any position on the question of optimal policy regimes. In a country that is viewed as relatively successful, it is almost always possible to find a few examples…

  • What it is like to read Proust – by Henry Oliver

    The quest was all—the journey of moral redemption was a tale—then the tale became domesticated—and then it went into the interior. The interior quest is exemplified by Proust, but it was perfected, too, by Henry James. In reading Henry James, I had been learning to read Proust. Reading Proust in spurts and intervals is like…

  • DOC • To grow, we must forget… but now AI remembers everything

    What begins as personalization can quietly become entrapment, not through control, but through familiarity. And in that familiarity, we begin to lose something essential: not just variety, but the very conditions that make change possible. Research in cognitive and developmental psychology shows that stepping outside one’s comfort zone is essential for growth, resilience, and adaptation.…

  • Meet the Aphantasics, Those Who Can’t See Mental Images

    because the words prompted no mental images, it was almost as if reading bypassed the visual world altogether and tunnelled directly into their minds. Aphantasics might skip over descriptive passages in books — since description aroused no images in their minds, they found it dull — or, because of such passages, avoid fiction altogether. When…

  • Scaling Hierarchical Navigable Small World (HNSW) Vector in Redis

    if you have different vectors about the same use case split in different instances / keys, you can ask VSIM for the same query vector into all the instances, and add the WITHSCORES option (that returns the cosine distance) and merge the results client-side, and you have magically scaled your hundred of millions of vectors…