446 Matching Annotations
  1. Sep 2025
  2. Aug 2025
    1. plotted images will keep their smooth, continuous lines without becoming blocky or jagged.

      some notes on compression here.

      tuna fish disaster, copy/recopy, faxlore.

    2. Plotters are essentially robot line-drawing machines. Given a list of lines and curves, a plotter will physically move a pen around a piece of paper and draw each one.

      golan on slowness, appreciating it

    1. the book’s arguments?

      deriving this via an inspection of the chapters? how the argument is situated what is most info dense

      several strategic passes over the same text

  3. Jul 2025
    1. we found that every one of our transient can-didates are matched to dozens of GRBs within their 2σerror circle. Therefore, we cannot reliably claim thatany of the GRB matches are real associations

      is this in our scope? at what point are we involved

  4. Jun 2025
    1. To clarify the difference between a theoretical and conceptual model, Camp (2001) pointed out that a theoretical framework is based on an already established theory (or theories) in the literature, which has been subjected to rigorous testing and validation by other researchers and is widely accepted in the academic community.

      theoretical model ≠ conceptual model

    2. identification and reporting of patterns in a data set, which are then interpreted for their inherent meaning

      by vibes? wouldn't everything require a methodology/something citable to anchor it in testable/measurable practice?

    3. Thematic approach used in exemplar study (Naeem & Ozuem, 2022a).

      what does "provoke perception" mean? I don't understand how you get that from the keywords...

    1. As a listener my own preference is the option to experiment. My listening system has a mixer instead of a receiver, an infinitely variable speed turntable, filters, reverse capability, and a pair of ears.

      cf Pask

    1. The notions of intelligence (thinking-based?) and forward moving (directional?) are challenges. They can be gamed by emotions and biases. As we see in politics, once someone chooses a goalpost, it defines the direction the manner, direction, and often limits of the conversation. How we keep things from being one-sided will help keep both parties in the conversation.
    1. What if the dignity of being human is not to stand forever outside the machine, but to insist, even as the boundaries blur, on those things that remain untranslatable—mess, longing, grief, awe, strangeness?

      heavy hitting

    2. the “Human Instrumentality Project” offers to dissolve all suffering through perfect togetherness.

      random tangent: this HIP v human interactive proof

      cf siphonophorae, Bataille on eroticism

    3. teases meaning but never fully arrives at it, leaving us unsettled not because the machine “gets it wrong,” but because there’s no one there to get it at all.

      and yet as a person you cannot help but try to divine some "meaning" "from" it (computer generated text), because that is how you navigate the world

    1. Image of noise

      cf Earl Sweatshirt album cover art: the blur and the "Gen Z hard cut" of video v. millenial pause, boomer angle (had shared in previous IG story, cant remember when)

      informality, disposability are "gen ai imagery" really "disposable aesthetics"?

    2. To create a perfect conditions for the technology to operate, vast expanses of wiring would need to be isolated from any possible event.

      Agre capture?

    1. They also leverage the learned helplessness and confusion of the public, leading us to believe that there is no other alternative to staying competitive as an economy or as a nation than relentlessly advancing, deploying, and selling AI applications.

      viz "inevitability" narratives

    1. When people can no longer distinguish between the true voice of the Church and a forged one, the proclamation of the Gospel is imperiled.

      cf televangelism?

    1. To be the default model in Cursor.

      during Kyle McDonald's talk earlier in April he'd mentioned how (paraphrasing heavily and possibly editorializing) he felt that the craft in coding is sort of lost/displaced when LLM-generated text/code takes over the programming workflow/process.

      i feel like as with other forms of writing (though purpose/end goals differ), tools like Cursor while helpful in fast prototyping sort of skip over the arduous process of honing one's programming/coding voice

      to be the default model : to be the one, canonical way to "think" or "reason" (heavy scare quotes here, esp with how they're used/referenced in academia/industry discussion/research/publications)

    2. precious

      but also not really I feel? because mass market emphasis?

      though i will agree the presentation heavily biases towards a certain/a couple certain dominant norms/imaginaries of what/how software is/can be

    3. They could be stupid, disposable, silly yet meaningful to just you or a few friends.

      I wonder if a very intense and "anal" so to speak narrative of this would separate Snapchat images, since they already wander into image-text realms...

    4. "photography"

      agree re: quotes — once again, in the May-2019 sense, rather than "photography" we're talking about electronic images here. "signalization"?

    5. photography

      in the May-2019 sense of the word, this is a sort of widened access to representation of a scene/vignette (?)/tableaux/"state" of a/one's world

    6. having a portrait

      viz. Robin Sloan, homecooked apps

      custom software that is entirely up to the user-programmer: from user-consumer to user-programmer. closed "loop"?

  5. May 2025
    1. a complete surrender to this form of reasoning, though tempting, is likely to lead the U.S. to overlook the disproportionate impact of these systems on nations that are too poor to participate in the AI arms race.

      bdaiml inev. as colonial expansionist desire

    1. Persuading people that the police are using AI is a way to normalize the idea that AI should be and, perhaps more important, already is ceaselessly monitoring society.

      Agre's surveillance model, whilst persuading people to adapt to and prepare for capture model

    2. expectation economy sustained by a circular logic: investment leads to promises, which leads to branding and more investment … and so on until the bubble bursts.

      theory of "just trust me bro"

    3. Contrary to their cheery marketing copy, Investors and corporations don’t funnel their money into AI because they are interested in innovation for its own sake. AI promises to solve the problems of capital by unlocking exponential growth, eliminating labor costs, optimizing efficiency, and a slew of other expected outcomes. But the AI solution will come about only if the systems actually eventually work as promised.
    4. the complex mechanical system that Kempelen showed people was meant to distract their attention from how the automaton really worked: human labor.

      Amazon Fresh, AI as "another worker in India" (misquoted here)

      viz. Eryk Salvaggio, “The Hypothetical Image”

    1. advanced AI (but not “superintelligent” AI,

      wish there was a clear cut definition or at least advertisement of authors' stakes, stances, and definitions of the following terms

      technological determinism; agent; intelligence; control; progress; alignment

    2. By unpacking intelligence into distinct underlying concepts, capability and power, we rebut the notion that human labor will be superfluous in a world with ‘superintelligent’ AI,

      why still enlist its definition if you imply that it does not serve the reader (am I even the target audience?)

    3. What eventually allowed gains to be realized was redesigning the entire layout of factories around the logic of production lines. In addition to changes to factory architecture, diffusion also required changes to workplace organization and process control, which could only be developed through experimentation across industries.

      viz. Philip Agre's "capture" model, May on mechanization, Jill on human pliability to environment.

    4. But it is important to remember that adoption is about software use, not availability.

      curious definition, I wonder how authors would define impact in this case and how they'd model and/or map their arguments thus far

    5. Depending on how we measure adoption, it is quite possible that the adoption of generative AI has been much slower than PC adoption.

      wild to write this given the sheer coverage, emotional hype/capital and general force feeding that i as a human person in north america have experienced since 2022??

      even accounting for various definitions of "adoption"?

      my brothers in Christ...

    6. mass-market product release

      this! is the term I'm looking for wrt "gen pop consumer profile"

      "mass market product"

      the same way capital/valuation (??? magic finance words) moves around for unicorns of the 2010s

    7. not highly consequential applications

      yes the interpersonal "new modes of longing and connection" beat, as described here, is important; but what if authors had actually interrogated "highly consequential applications" such as crime prediction? consequential for whom?

      is "innovation" only what can be liberally regarded as "net good" such as healthcare, and are you ignoring very real and tech-forward sectors such as law enforcement?

      the "venture/speculative capital-based" "gen pop" applications can only take you so far. feels like focus is sort of scattering here

    8. AI diffusion lags decades behind innovation

      how is "diffusion" measured? by population of the consumer market? what about its use in drone ops, surveillance, defense contexts?

      the sort of consumer assumed by the definition of "innovation" feels limiting here. i guess because authors and i have different, though overlapping, conceptions of populations we are concerned about/for

      viz. Citations Needed on "precision"

    9. normal technology

      would calling it a "boring" or "commonplace" technology be more productive? i get why "normal" but "normal" feels tenuous to me

      how "normal" or "unquestioned" depends on level of saturation, familiarity etc differing across diff cultures/groups ig

      ///

      "general purpose technology", as Part I uses it?

    1. This framework sensitizes us to “small” systems that cause tremendous harm because of the settings in which they’re placed and the authority people place upon them; and it inoculates us against fixations on things like regulating systems just because they happened to use 10^26 floating point calculations in training - an arbitrary threshold, denoting nothing in particular, beneath which actors could (and do) cause monumental harms already, today.
    2. I think we should shed the idea that AI is a technological artifact with political features and recognize it as a political artifact through and through. AI is an ideological project to shift authority and autonomy away from individuals, towards centralized structures of power. Projects that claim to “democratize” AI routinely conflate “democratization” with “commodification”.

      tfw you're convinced that artful consumerism is a way out, a way to be free

    3. If anything, it struck me as an illustrative example of the abject failure of an approach to defining AI that’s contingent on the inner workings of the system - because anybody who has experienced health insurance claims systems can tell you that you don’t get a lot of insight into how the system works. You certainly don’t get to know whether you’re in the former system or the latter without a lot of litigation and paperwork.
    1. Meta has allowed these synthetic personas to offer a full range of social interaction—including “romantic role-play”—as they banter over text, share selfies and even engage in live voice conversations with users.

      the banter doesn't flow the way it would if it were a human with actual lived experience on the other end. buddy you are convening with brut mathematics dressed in the haze and glimmer of simulated desire and connection

      "stress free consensus"

    1. DRM (DigitalRights Management), including the CSS (Content Scrambling System) used to makemore difficult the copying of DVDs, has been reasonably effective (from the point ofview of content owners).
    1. the idea behind literate programming, too -- the idea that the stuff for humans should be the default context, and the highly constrained stuff parsed by the computer should be an exceptional mode within that

      try SoundCloud for notetaking — since Reduct already biases towards recognition

    2. the device immediately (or even in real time, while you're speaking?) prints out a little receipt that 'contains' (that is) the audio that it just recorded2

      closest approximation to orthographic recording, almost: receipt printer formulation suggests something more akin to photography

    1. The sentences sound fancy. But just because something sounds fancy doesn’t make it meaningful. Just because something sounds obscure doesn’t mean it makes sense.

      the graphic designer instinct to insert or suggest meaning, imply it where it may not exist, through the use of form: that is what is going on here

    2. Human writing has a certain variety. It’s almost ineffable. Linguistics attributes this to the concept of “bursts” in writing. Humans think as they write. As they stitch together ideas, they don’t think in uniform patterns, which results in uneven sentences. These “bursts” make the sentences, hopefully, more interesting to read. It means, too, that sentences aren’t always dense.

      more intuitive "flows"

      cf. my question to Jill about whether conversing through LLMs will shift linguistic norms in practice

    3. I edited the sentence to sound less like AI writing.

      reading the "generated"/sampled passage below aloud the 3+ word lists emphasize how repetitive the cadence/rhythm of it is

    1. While others may ascribe revolutionary potential to poetry, I don’t. I write a poem and don’t imagine it’ll do anything.

      collecting poems like rocks

    1. Once multiple accurate students enter the same tag for a new image, the system wouldbe confident that the tag is correct. In this manner, image tagging and vocabulary learning can becombined into a single activity.

      is this not how CAPTCHA is evaluated too?

    1. "a man who understands Chinese is not a man who has a firm grasp of the statistical probabilities for the occurrence of the various words in the Chinese language" (p. 108).

      cf./viz. classical statistical machine learning and language models

    2. Gottfried Leibniz made a similar argument in 1714 against mechanism (the idea that everything that makes up a human being could, in principle, be explained in mechanical terms. In other words, that a person, including their mind, is merely a very complex machine).

      anatomy of a landscape / atrocity exhibition

  6. Feb 2025
    1. identification of key words, (2) the discovery of minimal context, (3) the choice of appropriate transformations, (4) generation of responses in the absence of key words, and (5) the provision of an editing capability for ELIZA "scripts".

      cf conversation design

  7. Jan 2025
    1. Designed for, with, and by the disability community, our commitment to make this show accessible raised core questions for us about access: how could we think about access not as accommodation or a measure of minimal compliance, but instead as a creative practice or an underlying aesthetic and design principle of the work?
    1. wicked problems 1 (sidenote: “Wicked problems” (Rittel & Webber, 1973) are challenges that are especially dynamic due to their fluctuating parameters and require diverse strategies of engagement for generating inquiry. ↩ )

      cf CybLab

    1. learning analytics

      for the purposes of Scal we may need to be very narrow/specific in how we define whatever it is that we relate to the algo sublime, if we choose to use this phrase and continue this particular line/theme of scholarly/popular inquiry.

      e.g. are we dealing only in purely textual data? conversational interfaces?

    1. AI slop breaks down the inquiry and investigation into the world as it is, replacing the critical landscape with text and image fragments that affirm the world as it is imagined. In essence, it circumvents any desire to understand the world because it offers us the immediate satisfaction of having a feeling about the world.

      FMGA; convenient direct binaries, no critical thinking or personal judgment formed, good feelings +++

    1. You can see that oh, this is this type of lightbox that everyone uses, and it works really well, but I don’t want everyone's lightbox. I want to design my own lightbox, and I want to make my own weird mistakes. It’s because we want to figure out how the thing works and why, even if doing it that way makes the thing slightly less “good” than the established version.

      it's about learning, knowing your material (cf Daragh text on this from DIOT)

    2. I think it's interesting that you frame it in terms of selfishness, because the parts of a person that are really fascinating tend to be the ones that are kind of orthogonal to the rest of the world — that have these little weird shapes that don't quite fit. Being able to express those things…. [laughs] maybe I’m forcing this, but I find that generous. Like you said, it’s something that’s very specific to a single person. That feels like a gift.

      Dani on wanting to be understood

    1. these communities are trying to sift through the layers of the world to see what else might have been left behind at the code level by the developers during the making of the game.

      intertextual (esp wrt code); marginalia; SKAM — transmedia emergent storytelling

    2. Spectator Mode becomes a way to analyze the game world from the outside in, to instantly uncover the secret paths and tunnels in the ground below, to look at the gameworld from within a block, or from under the bedrock looking up through pools of lava, hidden diamonds, and glowing skeletons.

      in what ways do you understand / come to learn a system, a world, an infrastructure? cf. position/where one is situated across an AI tech stack

  8. nicholasmuellner.com nicholasmuellner.com
    1. Data can be valuable. It can also be debris, abundant and unwelcome clutter generated by organic activity. Data is essential for operating a system, but it rarely needs to be the primary focus of the system.

      cf capturability, rhetoric of maximum vision in my captcha essay (2)

    2. Compostable social media might aim for organic control over its look, feel, and design rather than organized control over the user. It would interpret content as a series of signals: a heap that could attract or repel users according to their own, self-created, emergent incentives.
    3. Facebook should first be understood not as a “social network” but as a conversational mediation system. It is designed not to expand your social interactions, but to limit and mediate them for profit. That’s not even a critique! It’s just exactly what the technology is if you define it by what it does.

      Beer, the purpose of a system is what it does

    4. Rather than extrapolating for all time, you could just ask, “what did the last 10 people do?” It would be a great way to create new patterns, as we can’t get big data anyway.

      in what context is this fruitful

    5. The digital brain metaphor works pretty well for computers chugging away at pattern recognition tasks using inanimate objects. It's a solitary, individual model, processing a limited world of static information, making predictions, and acting on those predictions based on limited information — a solipsistic machine.
    6. ?

      image below i assume is "AI generated" but has the feeling of cracked paint on a weathered painting. new adjacencies and metaphors i guess

  9. Dec 2024
    1. Images of AI Slop reflect an aesthetic of algorithmic power: the amplified feedback loop of social media and AI, of optimization and prediction. We have not trained our eyes to see this in the image yet, because we are so unaccustomed to the scale of what generative AI does – both within and beyond the images.
    2. If everything is up for grabs, everything is transgressive, and nothing matters much at all. The entire landscape of our visual culture can become subject to a detached, aesthetic disinterest. Everything can be reduced to data to be manipulated. Once you believe that, you can easily come to believe wholesale in the ideological project of AI.
    3. The result is often critiqued as soulless. AI-generated text and images suffer from the absence of the weight of the real. The AI slop of AI images and the AI slop of algorithmic decision-making have this in common: they can only point at data. They never base decisions on reality. Nonetheless, the decisions are rolled out into reality as if they did.
    4. They are also restructured references to, primarily, social media content, with the model making aesthetic choices based on what it has learned from the feedback loop of viral posts.

      also saturated with logics of advertising — thats where you get the corporate pop

    5. I keep returning to aesthetic detachment to understand the pleasure of manipulating symbols with AI. Art requires playfulness, and playfulness involves a lack of investment in the thing played with. We would not play absent-mindedly with a sacred object if we understood it was sacred. But history is filled with the sacred artifacts of a culture played with by those indifferent or hostile to that culture. Playing with those images inspires resistance.
    6. This has given rise not only to scammers and misinformation, but to a more earnest strand of AI Slop: the work of untrained artists using a machine in a very straightforward way, benefiting from the baked-in algorithmic manipulation of social media that rewards them with attention for sharing it. For some who grew up in the algorithmic era, the Slop “aesthetic“ must seem very natural—a kind of aesthetic familiarity or even nostalgia, similar, perhaps, to the feelings associated with 8-bit video games among some children of the 80s and 90s.

      nostalgia for the world that produced images, semantic embeddings like these?

    1. This rise of the technocrats will have ramifications on tech regulations, sure. But it is also a form of politics that treats government as a social media interface, designed to amplify outrage, bully those in disagreement and make constructive dialogue impossible. It’s a momusocracy: government by force of the troll.
    1. Slop is a problem that can persist through strategic negligence: there is no need to prioritize a problem if that problem is helpful to the people tasked with repair.

      purpose of a system is what it does David Graeber on bureaucracy?

    2. Though almost literally "autocratic," this AI-generated worldview is neither left nor right-wing, but a fusion of cyberlibertarianism and technocratic neoliberalism. Today it is a project with enough entry points to form its own agenda, priorities, myths and abstractions, rituals of inclusion and exclusion, and crucially, an invitation to enjoy its fantasy.
    3. "low quality media, including writing and images, made using generative AI technology" used as "filler content that prioritizes speed and quantity over substance and quality."

      slop, metadataslurry, seoification, enshittification (+ dead internet theory)

    4. posting jarring AI content to lure engagement

      specific to locale / culture, too — Chinese AI using MLP + tough lessons about the cruelty of society reflects "warning culture" (no idea how else to describe) very much in vogue across XHS, for instance

  10. Oct 2024
    1. On an internet without hyperlinks, where every post must be completely digestible in someone’s feed within microseconds of a user seeing it, your face, your physical body, is the last thing left that can connect across platforms. And creators like Cho have figured out that that’s one of the last reliable ways to keep their personas consistent across every platform they have to post on. It just so happens to turn out that the only impulse strong enough to still reliably motivate someone to figure out how to find your website is horniness.
    2. And because it’s not just porn that’s going through this transition from top-down platform to bottom-up creator, it also means that a lot of viral content is beginning to feel a little porny.

      affect of video production itself, too

  11. Jun 2024
    1. It was bas relief. It wasn't completely in the round, but you could feel the scratchiness of the clothing. You could feel the roundness of the pearls. And so, in that regard, it was a lifelike three-dimensional model of a two-dimensional representation. Is this the way to go? Because, we could do 3D prints of everything in the collection.

      tech for tech's sake; need for context

    2. A very interesting example of just this issue was raised when they had the Treasures of Heaven exhibition at the British Museum, and they brought together numerous relics and the beautiful reliquaries within which they were set, and icons from Byzantium and elsewhere in the eastern parts of Europe and put them on display. Now, the visitors included people of the Eastern Orthodox faith, and, in that faith, the proper way in which to venerate an icon is to kneel before it, to pray before it and to kiss it.Now, was the British Museum going to allow visitors to kiss this exhibition, the items in this exhibition? Or actually, shouldn't the British Museum have obliged everyone to do so? Merely viewing such icons from a distance and not engaging in that sensory interaction with them would be to defeat their sensory presence, their way of being in the world. And so, I would love to see more experimentation with historically appropriate manners of viewing.

      challenging authority of museum as established preserver of cultural history/heritage

    3. there's this phenomenal bureaucratization of the senses that goes on in the way, in which, for example, you go to an art gallery or a museum to see, to a concert hall in order to listen, to a restaurant to taste or to dine, and to a gym to exercise.

      removing context

    1. a lot of these objects were not meant to be put in a museum. A lot of them were in people's homes, in their cabinet of curiosities, or in the place where only men would be able to gaze at them, or in churches or in other different formats. And then now that they're in a museum setting with general visitors, what is the museum's responsibility in how we are talking about this, how we're choosing to display them, how we're choosing to talk about them in the labels, in the catalogs, in the exhibitions? Because all of that is adding to the art historical knowledge.

      BANGER!!!

    2. I think so many things draw me to museums. And I think it depends on, we have multiple identities, right?

      this is such an epic response/approach to replying.

  12. Jan 2023
    1. The question of whether I link to one of my old posts or not isn’t answered by whether they’re related, but by whether the act of linking serves a purpose.

      different approaches to writing and different (conceptions of) audiences... linking with a reader in mind, v. linking with the assumption that only you might return in the future

  13. Dec 2022
  14. Oct 2022