38 Matching Annotations
  1. Feb 2024
    1. The random selection of words by volunteers often resulted in themchoosing the same words with similar dates, and produced gaps in thequotation paragraphs, which Murray and his assistants had to fill by their ownmanual searching. This must have been like trying to find a needle in ahaystack. It was remarkable how successful Murray’s small team was at fillingthose gaps and finding earliest or latest quotations. Murray told thePhilological Society that this manual trawling for words had to be done forthe majority of words: ‘For more than five-sixths of the words we have tosearch out and find additional quotations in order to complete their historyand illustrate the senses; for every word we have to make a general search todiscover whether any earlier or later quotations, or quotations in other senses,exist.’
  2. Jan 2024
    1. ZK II note 9/8b 9/8b On the general structure of memories, see Ashby 1967, p. 103 . It is then important that you do not have to rely on a huge number of point-by-point accesses , but rather that you can rely on relationships between notes, i.e. references , that make more available at once than you would with a search impulse or with one thought - has fixation in mind.

      This underlies the ideas of songlines and oral mnemonic practices and is related to Vannevar Bush's "associative trails" in As We May Think.

      Luhmann, Niklas. “ZK II Zettel 9/8b.” Niklas Luhmann-Archiv, undated. https://niklas-luhmann-archiv.de/bestand/zettelkasten/zettel/ZK_2_NB_9-8b_V.

  3. Nov 2023
    1. This discipline allows the compiler to statically prevent memory errors, data races, inadvertent side effects through aliasing, and other errors that frequently occur in conventional imperative programs.

      something i want to write.

  4. Apr 2023
    1. But if you think in evolutionary models, randomness has a prominent role. (9)9 Without it, nothing progresses anyhow.

      Nothing progresses without randomness.


      Think about this for a bit. True/untrue? Provable? Counterexamples?

  5. Feb 2023
  6. Dec 2022
    1. “I have a trick that I used in my studio, because I have these twenty-eight-hundred-odd pieces of unreleased music, and I have them all stored in iTunes,” Eno said during his talk at Red Bull. “When I’m cleaning up the studio, which I do quite often—and it’s quite a big studio—I just have it playing on random shuffle. And so, suddenly, I hear something and often I can’t even remember doing it. Or I have a very vague memory of it, because a lot of these pieces, they’re just something I started at half past eight one evening and then finished at quarter past ten, gave some kind of funny name to that doesn’t describe anything, and then completely forgot about, and then, years later, on the random shuffle, this thing comes up, and I think, Wow, I didn’t hear it when I was doing it. And I think that often happens—we don’t actually hear what we’re doing. . . . I often find pieces and I think, This is genius. Which me did that? Who was the me that did that?”

      Example of Brian Eno using ITunes as a digital music zettelkasten. He's got 2,800 pieces of unreleased music which he plays on random shuffle for serendipity, memory, and potential creativity. The experience seems to be a musical one which parallels Luhmann's ideas of serendipity and discovery with the ghost in the machine or the conversation partner he describes in his zettelkasten practice.

    2. Eno’s strategies don’t always appeal to the musicians he works with. In Geeta Dayal’s book about the album, also titled “Another Green World,” the bassist Percy Jones recalls, “There was this one time when he gave everybody a piece of paper, and he said write down 1 to 100 or something like that, and then he gave us notes to play against specific numbers.” Phil Collins, who played drums on the album, reacted to these instructions by throwing beer cans across the room. “I think we got up to about 24 and then we gave up and did something else,” Jones said.

      Example of Brian Eno using combinatorial creativity using cards to generate music.

      This sounds similar to a process used by Austin Kleon which I've noted before.

  7. Nov 2022
  8. Feb 2022
    1. I don't think it's a surprise to anyone to know that there are certain activities that help create that space, and it’s been widely commented upon. Doing the dishes, walking the dog, cleaning the house – you need to be doing something.For me, pruning trees in our olive grove is perfect. It takes a little bit of attention, but not that much attention.

      This is related to the idea of diffuse thinking caused by taking breaks or doing things that don't require extreme concentration. Flaneuring... walking, etc.

      You want an activity that requires a little bit of attention but not too much attention. Doing dishes, walking, errands, etc. are good examples.

      Relate this to the

    2. The third way I interact with my notes is a mechanism I’ve engineered whereby they are slowly presented to me randomly, and on a steady drip, every day.I’ve created a system so random notes appear every time I open a browser tabI like the idea of being presented and re-presented with my notations of things that were interesting to me at some point, but that in many cases I had forgotten about. The effect of surprise creates interesting and productive new connections in my brain.

      Robin Sloan has built a system that will present him with random notes from his archive every time he opens a browser tab.

  9. Jan 2022
    1. Here, the card index func-tions as a ‘thinking machine’,67 and becomes the best communication partner for learned men.68

      From a computer science perspective, isn't the index card functioning like an external memory, albeit one with somewhat pre-arranged linked paths? It's the movement through the machine's various paths that is doing the "thinking". Or the user's (active) choices that create the paths creates the impression of thinking.

      Perhaps it's the pre-arranged links where the thinking has already happened (based on "work" put into the system) and then traversing the paths gives the appearance of "new" thinking?

      How does this relate to other systems which can be thought of as thinking from a complexity perspective? Bacteria perhaps? Groups of cells acting in concert? Groups of people acting in concert? Cells seeing out food using random walks? etc?

      From this perspective, how can we break out the constituent parts of thought and thinking? Consciousness? With enough nodes and edges and choices of paths between them (or a "correct" subset of paths) could anything look like thinking or computing?

  10. Aug 2021
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  12. Feb 2021
    1. However, why some questions for the defendant make the jury feel that way or the other? No explanation is given. You can ask a defendant where they got the crime instrument and that sometimes makes the jury more likely to acquit them and sometimes more likely to behead them. There's no real reasoning or feedback given behind this and it feels, again, forced and arbitrary.
  13. Oct 2020
  14. Aug 2020
  15. Jun 2020
    1. To get a feel for how much pseudo-random data is available in your entropy pool, you can run this command:$ cat /proc/sys/kernel/random/entropy_avail 2684 The number shown appears to represent the number of bits of entropy that have been collected. Even 2,684 might not seem like much in a world in which we routinely speak in terms of terrabytes, but numbers above 100 are said to be a good sign. I
  16. May 2020
  17. Apr 2020
  18. Mar 2020
    1. Reason and imagination, combined together, lead to something even more incredible. Without imagination, animals have a hard time wrapping their heads around the fact that animals other than themselves are full, living creatures who experience life just like they do. They can’t put themselves in another animal’s shoes. Without reason, animals can’t follow the logic that concludes that the lives of others are just as valuable as their own, and their pain and pleasure just as real. These two superpowers produced a third superpower—one that, above all, makes humans human: empathy.
  19. Feb 2020
  20. Oct 2019
  21. Jul 2019
    1. RF is now a standard to effectively analyze a large number of variables, of many different types, with no previous variable selection process. It is not parametric, and in particular for survival target it does not assume the proportional risks assumption.
    1. Compared with neural networks configured by a pure grid search,we find that random search over the same domain is able to find models that are as good or betterwithin a small fraction of the computation time.
  22. May 2019
    1. Под иллюзией continuous improvement скрывается хаотичное движение неуправляемой частицы с глубоко скрытым экзистенциальным кризисом. И на векторы этого движения влияет бесконечность разных факторов: настроение, меняющиеся краткосрочные приоритеты, возможность быстрых маленьких побед.
  23. Apr 2019
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  25. Nov 2017
  26. Jun 2017
  27. Oct 2015
  28. doc-08-bk-prod-01-apps-viewer.googleusercontent.com doc-08-bk-prod-01-apps-viewer.googleusercontent.com
    1. however briefly, their own and one another’sskating.

      I don't know about anyone else, but this is the single thing which which baffled me the most when I visited the skate park. Given how many people were there at the same time, I just assumed that there'd be lots of talking with one another about tricks, tips, random chatter, etc. Beside the occasional comment here or there, I was astounded by how quiet it was. I'm curious if anyone else was surprised by this, or if any of you felt the same way.

    1. learning how to program LISP

      Want to get kids excited about math and teach comp. sci. and engage them with technology and teach them fundamental principles of computing and expand their view of the world and let them be creative?

      Teach 'em LISP

  29. Sep 2015
  30. newclasses.nyu.edu newclasses.nyu.edu
    1. Women knew hun-dreds of words for types of men, such as "jerks," 11jocks," "cowboys," "frattybaggers," "brains," "pricks," and men knew hundreds for types of women (Holland and Skinner 1987).

      Interesting to consider the social-cultural context that the author of the paper is in; there was no hesitation in enumerating a few of the words used to describe men, yet no attempt at doing the same for the terms reserved for women.

  31. Aug 2013