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#similarity — Public Fediverse posts

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

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  1. A quotation (probably) from Carlyle

    I don’t like to talk much with people who always agree with me. It is amusing to coquette with an echo for a little while, but one soon tires of it.

    Thomas Carlyle (1795–1881) Scottish essayist and historian
    (Attributed)

    More about this quote: wist.info/carlyle-thomas/22450…

    #quote #quotes #quotation #qotd #carlyle #thomascarlyle #agreement #boredom #conversation #dialog #discussion #echo #interaction #similarity #tiresomeness

  2. A quotation from Bertrand Russell

    Differences between nations, so long as they do not lead to hostility, are by no means to be deplored. Living for a time in a foreign country makes us aware of merits in which our own country is deficient, and this is true whichever country our own may be. The same thing holds of differences between different regions within one country, and of the differing types produced by different professions. Uniformity of character and uniformity of culture are to be regretted. Biological evolution has depended upon inborn differences between individuals or tribes, and cultural evolution depends upon acquired differences. When these disappear, there is no longer any material for selection. In the modern world, there is a real danger of too great similarity between one region and another in cultural respects. One of the best ways of minimising this evil is an increase in the autonomy of different groups.

    Bertrand Russell (1872-1970) English mathematician and philosopher
    Lecture (1949-01-23), “Control and Initiative: Their Respective Spheres,” Reith Lecture, “Authority and the Individual” No. 5, BBC Radio

    More about this quote: wist.info/russell-bertrand/840…

    #quote #quotes #quotation #qotd #bertrandrussell #autonomy #culture #difference #diversity #evolution #nations #regions #similarity #uniformity #variety

  3. I am the same I, that I was yesterday (1890) by William James, from The Principles of Psychology.

    Source: University of Toronto Libraries / Internet Archive

    pdimagearchive.org/images/b012

    #consciousness #wavy #modernism #psychology #three-dimensional #thought #similarity #art #publicdomain

  4. Here is a typical Russian milblogger channel. Note ”owning the libs” type naming.

    Are you still surprised MAGA supports Russia?

    I think they actually look up to Russia, honestly, and would love nothing more than the USA to become more like Russia.

    Russian brashness and embracing being the bully excites them. Maybe even makes them jealous.

    #russia #maga #admiration #similarity #bully #psychology

  5. I’m excited to share my newest blog post, "Don't sure cosine similarity carelessly"

    p.migdal.pl/blog/2025/01/dont-

    We often rely on cosine similarity to compare embeddings—it's like “duct tape” for vector comparisons. But just like duct tape, it can quietly mask deeper problems. Sometimes, embeddings pick up a “wrong kind” of similarity, matching questions to questions instead of questions to answers or getting thrown off by formatting quirks and typos rather than the text's real meaning.

    In my post, I discuss what can go wrong with off-the-shelf cosine similarity and share practical alternatives. If you’ve ever wondered why your retrieval system returns oddly matched items or how to refine your embeddings for more meaningful results, this is for you!
    `
    I want to thank Max Salamonowicz and Grzegorz Kossakowski for their feedback after my flash talk at the Warsaw AI Breakfast, Rafał Małanij for inviting me to give a talk at the Python Summit, and for all the curious questions at the conference, and LinkedIn.

    #cosineSimilarity #embedding #llm #similarity

  6. wheres the damn key

    A monochrome image of locked mailboxes in a post office. The composition highlights themes of security and hidden thoughts, with an array of lockers in focus, evoking a sense of mystery and introspection

    #pattern #bnw #monochrome #bw #mystery #introspection #stilllife #urban #urban #postoffice #photography #monochrome #locks #urbanex #mailbox #photography #postoffice #passive #mailbox #similarity #ricohgr3 #photo

  7. evanston post office

    the image shows a room with rows of uniform mailboxes lining the walls. In the center, there is a large, rectangular structure also made of metal boxes with locks. The room is well-lit with fluorescent lights, and the floor is shiny, reflecting the light above.

    #postoffice #mailbox #pattern #symmetry #urban #evanston #mailboxes #similarity #bw #postoffice #stilllife #urbanex #ricohgr3 #photo #photography #mood #passive #bnw #monochrome

  8. In tonight’s tutorial, we talked about how psychology makes sense of emotions like love. Is it all subjective? Maybe not as much as you think. Love can be studied scientifically—not just through brain scans showing neurotransmitters like dopamine and oxytocin but also through observable behaviours.

    Take reciprocity: when someone likes us, we’re more likely to like them back. Or similarity: shared values, interests, and beliefs often strengthen attraction. Add proximity and familiarity—the magic of repeated exposure—and you start seeing how relationships form. Then there’s complementarity: where differences between people don’t divide but balance and enhance connection.

    What fascinates me is how psychology bridges the personal and the universal. Yes, love feels deeply subjective, but studies show patterns we can test and measure—observing behaviours, tracking emotional responses, and using physiological data to explore what we feel.

    Have you noticed these dynamics in your relationships? #Psychology #Love #Relationships #Emotions #Reciprocity #Similarity #Proximity #Familiarity #Complementarity

  9. Зачем нужны эмбеддинги?

    Современные проекты с использованием больших языковых моделей часто сталкиваются с задачей нечеткого поиска, когда нужно находить строки с неполным соответствием. В этой статье на конкретном примере мы рассмотрим разные методы определения сходства строк: от триграммного и фонетического анализа до косинусного и евклидова сходства. Разберем, в каких случаях оптимальнее использовать каждый из методов, проанализируем их преимущества и ограничения и обсудим, как они помогают справляться с реальными вызовами в работе с неструктурированными данными. Статья будет полезна тем, кто хочет глубже понять принципы поиска и подобрать подходы, которые лучше всего решают поставленные задачи.

    habr.com/ru/articles/855550/

    #embeddings #llm #similarity

  10. Similarity and continuity are manifestations of difference. Just specific types of differences repeatedly constructed over a certain period of time-space.

    #philosophy #difference #similarity #construction

  11. Plutarch notes that friendship arises out of and is sustained by similarities of habits, character, outlooks, feelings, & other matters. Flatterers know this, and for that reason imitate similarity with their targets

    youtu.be/uTw_6PBnOW4
    #Video #Plutarch #Friendship #Flattery #Imitation #Similarity

  12. PS If they only had a slightly invested #phylogeneticist at hand; they easily could have learned a lot about the strengths and weaknesses of their data and preferred tree (a Bayesian MRC, by the way, is a summary tree of various competing topologies sampled in the MCMC chain, not a phylogenetic tree)

    Here's a quick #NeighbourNet based on their "toutes" matrix (inferred in less than a minute), annotated.
    Overall #similarity makes #clades, surprise, surprise.

    #PhyloNetworks #linguistics

  13. #Music #Hatikva #Similarity

    Ist euch eigentlich mal aufgefallen, dass "Alle meine Entchen" in moll gesungen
    die israelische Nationalhymne ergibt?

  14. @johncarlosbaez @gregeganSF

    Curse of Dimensionality
    en.wikipedia.org/wiki/Curse_of

    "Dimensionally cursed phenomena occur in domains such as numerical analysis, sampling, combinatorics, machine learning, data mining and databases. The common theme of these problems is that when the dimensionality increases, the volume of the space increases so fast that the available data become sparse. In order to obtain a reliable result, the amount of data needed often grows exponentially with the dimensionality. Also, organizing and searching data often relies on detecting areas where objects form groups with similar properties; in high dimensional data, however, all objects appear to be sparse and dissimilar in many ways, which prevents common data organization strategies from being efficient. "

    #analytics #similarity #optimization

  15. #HowToThing #023 — Responsive & reactive image gallery with tag-based Jaccard similarity ranking/filtering using thi.ng/bitfield, thi.ng/rstream & thi.ng/rdom

    A quite common comment about #ThingUmbrella is that people often have little idea what some of the ~185 packages are even good/intended for and/or how to synthesize solutions from these small, individual building blocks. IMHO this is less about these packages themselves and more down to existing blank spots about the underlying concepts, algorithms and their potential role/utility in a larger problem domain... So I very much hope this new example is also useful in this respect!

    Alas, the full code for this got pretty long and contains a lot more UI stuff. I'm intending to develop this further for the new homepage to browse all ~135 #ThingUmbrella examples (and maybe even for parts of the thi.ng website itself)... For those of you interested in more "advanced" thi.ng/rdom examples, do check it out!

    Background info:
    en.wikipedia.org/wiki/Jaccard_

    Demo:
    demo.thi.ng/umbrella/related-i

    Full source code:
    github.com/thi-ng/umbrella/tre

    The important parts re: using compact binary encoding, bitfields & Jaccard similarity to find related items are here:

    github.com/thi-ng/umbrella/blo

    #ThingUmbrella #Tagging #Statistics #Similarity #Ranking #Bitfield #TypeScript #JavaScript #UI #Frontend #Reactive #Tutorial