9 Matching Annotations
  1. Last 7 days
    1. There's a mismatch between me and my writing tools. They seem to want something slightly different from what I want. I wonder if anyone else has this feeling? I mean there's plenty of people who are apparently on a life-long quest to find the perfect app, because they still haven't found what they're looking for. What's up with that? Well this article made things a lot clearer for me: Artificial Memory and Orienting Infinity | Kei Kreutler. Kreutler argues we've conflated all memory with computer memory. That's to say we've assumed everything can be stored and retrieved as data. But this misses something crucial, which is that the kind of memory that shapes worlds requires transmission, relationship, and context, and not just storage. And this got me thinking: doesn't this apply to our digital writing tools? They have to store our writing as data, but in doing so they change it in subtle ways we might not even notice, except as the kind of vague unease I've been feeling. Why your note-making tools don’t quite work the way you want them to - and what to do about it. So am I over-thinking it again, or have you too felt a gap between what you want to do and what your writing tools expect you to do?

      reply to u/atomicnotes at https://reddit.com/r/Zettelkasten/comments/1qjrnp8/why_dont_my_notemaking_tools_work_the_way_i_want/

      In older analog offices, the office worker stored things on paper in piles, in folders, in various locations within their office. Because humans have excellent spatial memory, the worker would have an idea of what he might want and would know in which pile on their desk or which filing cabinet it might be filed in. Despite what may look like a messy office, most will know exactly where certain papers are "hiding". This overlaps with older indigenous cultures and artificial memory with structures like songlines, talking rocks, and later techniques from ars memoriae like method of loci or memory palaces. For more on this cross reference Hudson & Thames' First Knowledges series edited by Margo Neale.

      Entirely digital-based methods have erased a lot of these sorts of locational affordances.

  2. Nov 2024
  3. Jul 2023
    1. Inserting a maincards with lack of memory .t3_14ot4na._2FCtq-QzlfuN-SwVMUZMM3 { --postTitle-VisitedLinkColor: #9b9b9b; --postTitleLink-VisitedLinkColor: #9b9b9b; --postBodyLink-VisitedLinkColor: #989898; } Lihmann's system of inserting a maincard is fundamentally based on a person's ability to remember there are other maincards already inserted that would be related to the card you want to insert.What if you have very poor memory like many people do, what is your process of inserting maincards?In my Antinet I handled it in an enhanced method from what I did in my 27 yrs of research notebooks which is very different then Lihmann's method.

      reply to u/drogers8 at https://www.reddit.com/r/antinet/comments/14ot4na/inserting_a_maincards_with_lack_of_memory/

      I would submit that your first sentence is wildly false.

      What topic(s) cover your newly made cards? Look those up in your index and find where those potentially related cards are (whether you remember them or not). Go to that top level card listed in your index and see what's there or in the section of cards that come after it. Find the best card in that branch and file your new card(s) as appropriate. If necessary, cross-index them with sub-topics in your index to make them more findable in the future. If you don't find one or more of those topics in your index, then create a new branch and start an index entry for one or more of those terms. (You'll find yourself making lots of index entries to start, but it will eventually slow down—though it shouldn't stop—as your collection grows.)

      Ideally, with regular use, you'll likely remember more and more, especially for active areas you're really interested in. However, take comfort that the system is designed to let you forget everything! This forgetting will actually help create future surprise as well as serendipity that will actually be beneficial for potentially generating new ideas as you use (and review) your notes.

      And if you don't believe me, consider that Alberto Cevolini edited an entire book, broadly about these techniques—including an entire chapter on Luhmann—, which he aptly named Forgetting Machines!

  4. Mar 2023
  5. Jan 2023
    1. We appreciate this is a long span of time, and were concerned why any specific artificial memory system should last for so long.

      I suspect that artificial memory systems, particularly those that make some sort of logical sense, will indeed be long lasting ones.

      Given the long, unchanging history of the Acheulean hand axe, as an example, these sorts of ideas and practices were handed down from generation to generation.

      Given their ties to human survival, they're even more likely to persist.

      Indigenous memory systems in Aboriginal settings date to 65,000 years and also provide an example of long-lived systems.

    2. These may occur on rock walls, but were commonly engraved onto robust bones since at least the beginning of the European Upper Palaeolithic and African Late Stone Age, where it is obvious they served as artificial memory systems (AMS) or external memory systems (EMS) to coin the terms used in Palaeolithic archaeology and cognitive science respectively, exosomatic devices in which number sense is clearly evident (for definitions see d’Errico Reference d'Errico1989; Reference d'Errico1995a,Reference d'Erricob; d'Errico & Cacho Reference d'Errico and Cacho1994; d'Errico et al. Reference d'Errico, Doyon and Colage2017; Hayden Reference Hayden2021).

      Abstract marks have appeared on rock walls and engraved into robust bones as artificial memory systems (AMS) and external memory systems (EMS).

  6. Jul 2021
    1. Facebook AI. (2021, July 16). We’ve built and open-sourced BlenderBot 2.0, the first #chatbot that can store and access long-term memory, search the internet for timely information, and converse intelligently on nearly any topic. It’s a significant advancement in conversational AI. https://t.co/H17Dk6m1Vx https://t.co/0BC5oQMEck [Tweet]. @facebookai. https://twitter.com/facebookai/status/1416029884179271684