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#memorization — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #memorization, aggregated by home.social.

  1. Ah, the age-old quest for finding the perfect #memorization hack! 🤔 Well, here comes the #spaced #repetition article, promising to revolutionize your brain with a sprinkle of #Haskell and #nootropics. ✨ Just remember, if this method was truly foolproof, #Gwern would be running Apple by now, not blogging about it. 😂
    gwern.net/spaced-repetition #hacks #HackerNews #ngated

  2. Ah, the age-old quest for finding the perfect #memorization hack! 🤔 Well, here comes the #spaced #repetition article, promising to revolutionize your brain with a sprinkle of #Haskell and #nootropics. ✨ Just remember, if this method was truly foolproof, #Gwern would be running Apple by now, not blogging about it. 😂
    gwern.net/spaced-repetition #hacks #HackerNews #ngated

  3. Ah, the age-old quest for finding the perfect #memorization hack! 🤔 Well, here comes the #spaced #repetition article, promising to revolutionize your brain with a sprinkle of #Haskell and #nootropics. ✨ Just remember, if this method was truly foolproof, #Gwern would be running Apple by now, not blogging about it. 😂
    gwern.net/spaced-repetition #hacks #HackerNews #ngated

  4. As always: #OpenData persistently available at:
    Du, K. (2025). Reconstructing Shuffled Text (Derived Text Formats) [Data set]. Zenodo. doi.org/10.5281/zenodo.17198425
    #CLS #CCLS25 #DTF #LiteraryComputing #LLM #Memorization

  5. A quotation from Montaigne

    I gladly return to the subject of the ineptitude of our education. Its goal has been to make us not good or wise, but learned; it has attained this goal. It has not taught us to follow and embrace virtue and wisdom, but has imprinted in us their derivation and etymology. We know how to decline virtue, if we cannot love it. If we do not know what wisdom is by practice and experience, we know it by jargon and by rote.
     
    [Je retombe volontiers sur ce discours de l’ineptie de nostre institution : Elle a eu pour sa fin, de nous faire, non bons & sages, mais sçavans : elle y est arrivée. Elle ne nous a pas appris de suyvre & embrasser la vertu & la prudence : mais elle nous en a imprimé la derivation & l’etymologie. Nous sçavons decliner vertu, si nous ne sçavons l’aymer. Si nous ne sçavons que c’est que prudence par effect, & par experience, nous le sçavons par jargon & par cœur.]

    Michel de Montaigne (1533-1592) French essayist
    Essay (1578), “Of Presumption [De la Presomption], Essays, Book 2, ch. 17 (2.17) (1595) [tr. Frame (1943)]

    Sourcing, notes, alternate translations: wist.info/montaigne-michel-de/…

    #quote #quotes #quotation #qotd #montaigne #education #learning #meaning #memorization #morality #rote #school #understanding #virtue #wisdom

  6. A quotation from Montaigne

    We readily inquire, “Does he know Greek or Latin?” “Can he write poetry and prose?” But what matters most is what we put last: “Has he become better and wiser?” We ought to find out not who understands most but who understands best. We work merely to fill the memory, leaving the understanding and the sense of right and wrong empty.
     
    [Nous enquerons volontiers, Sçait-il du Grec ou du Latin ? escrit-il en vers ou en prose ? mais, s’il est devenu meilleur ou plus advisé, c’estoit le principal, & c’est ce qui demeure derriere. Il falloit s’enquerir qui est mieux sçavant, non qui est plus sçavant. Nous ne travaillons qu’à remplir la memoire, & laissons l’entendement & la conscience vuide.]

    Michel de Montaigne (1533-1592) French essayist
    Essay (1572-1578), “Of Pedantry [Du pedantisme]), Essays, Book 1, ch. 24 (1.24) (1595) [tr. Screech (1987), ch. 25]

    Sourcing, notes, alternate translations: wist.info/montaigne-michel-de/…

    #quote #quotes #quotation #Montaigne #comprehension #education #evaluation #improvement #learning #memorization #rubric #school #student #teaching #understanding #wisdom

  7. "To prevent AI models from memorizing their input, we know exactly one robust method: differential privacy (DP). But crucially, DP requires you to precisely define what you want to protect. For example, to protect individual people, you must know which piece of data comes from which person in your dataset. If you have a dataset with identifiers, that's easy. If you want to use a humongous pile of data crawled from the open Web, that's not just hard: that's fundamentally impossible.

    In practice, this means that for massive AI models, you can't really protect the massive pile of training data. This probably doesn't matter to you: chances are, you can't afford to train one from scratch anyway. But you may want to use sensitive data to fine-tune them, so they can perform better on some task. There, you may be able to use DP to mitigate the memorization risks on your sensitive data.

    This still requires you to be OK with the inherent risk of the off-the-shelf LLMs, whose privacy and compliance story boils down to "everyone else is doing it, so it's probably fine?".

    To avoid this last problem, and get robust protection, and probably get better results… Why not train a reasonably-sized model entirely on data that you fully understand instead?"

    desfontain.es/blog/privacy-in-

    #AI #GenerativeAI #LLMs #SLMs #Privacy #DifferentialPrivacy #Memorization

  8. 'Memorization With Neural Nets: Going Beyond the Worst Case', by Sjoerd Dirksen, Patrick Finke, Martin Genzel.

    jmlr.org/papers/v25/23-1376.ht

    #memorization #interpolation #interpolating

  9. Jarred Ye (LM-Sherlock) who created the FSRS spaced repetition algorithm that's now part of Anki, wrote a nice tutorial introducing spaced-repetition algorithms:

    "Spaced Repetition Algorithm: A Three‐Day Journey from Novice to Expert"
    github.com/open-spaced-repetit

    #Anki #FSRS #SRS #spacedrepetition #learning #toolsforthought #memory #memorization