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#aiaiai — Public Fediverse posts

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

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  1. Oh look, two of the grifts I find most annoying--weight bull and AI bull--wrapped up together (here's a critique).

    #Fat #AI #Weight #AiAiAi

    weightandhealthcare.substack.c

  2. (Writing is thinking, and takes time)

    "It is a truth universally acknowledged that the undergraduate essay has little relevance to the world beyond college. Nowhere are the jobs that require a paper, anywhere from five to 15 pages, written in isolation for an audience of one to prove that you have digested something you’ve read for no immediately practical reason. Nonetheless, the undergraduate paper as it has been practiced for decades did signal something, both in general and to future employers: the student’s willingness to engage in the slow consideration of another’s writing and ideas and then respond to them over many hours of targeted attention. Writing a successful paper means rejecting one’s cursory reactions and forcing oneself to take and defend a position that doesn’t even appear for the (at minimum) first 50 minutes of consideration.

    "Papers are the lab work of the humanities. They are the crucible for ideas invented, discarded, reanimated, rearranged and revised into sentences that reveal something to the writer that they didn’t know before. Papers communicate in ways that a 10-minute conversation or a 30-minute wrestling match with loose leaf can’t, because writing and rereading and rewriting and rethinking is fundamentally not a 10-minute or 30-minute activity. Has every student always done this? No. But I challenge anyone to find me the undergraduate who has produced a worthwhile (or even just honestly passable) six- to 10-page paper in 50 minutes, or even 100.

    "No longer will an English or history or philosophy degree deliver on the promise of dedicated thinking and working sustained over time."

    #AI #Humanities #Thinking #Writing #AiAiAi

    insidehighered.com/opinion/vie

  3. Billionaires: 1 in 10 chance of annihilation an acceptable risk

    After an Anthropic researcher resigned Tuesday, warning that superintelligence risks human lives, fellow researcher Evan Hubinger said that while current risks are low, there’s a 10% chance AI could “kill all humans” in the future — without proper safeguards.

    Anthropic Researcher Says There’s 10% Chance of AI Killing ‘All Humans’ Within 10 Years

    Keep in mind that Hubinger is saying it’s a 10% of killing ALL humans. It’s already killing SOME humans right the fuck now.

    #aiAiAi #death #futureCrime #richAssholes
  4. Karel Capek's 1920 play R.U.R. (Rossum's Universal Robots), not only gave us the term "robot" (from the Czech for forced labor or compulsory drudgery), but also gives both a precis of its implications for labor (the illusory promise of leisure and the actuality of loss) and a fantasy of "artificial intelligence" as another kind of sentient being.

    In Capek's play, the head of the company that manufactures robots promises that they will eliminate poverty and free everyone from work and into creative fulfillment, but unemployed workers rise up against the robots, until the government arms the robots, leading to more wars. The end of the play offers a Pinnochio turn, with robots acquiring souls.

    Decades of such stories--in which the audience is invited to recognize that android-hunting Blade Runners are killers, to sympathize with Lieutenant Data as a Real Boy, or to fear the clever malevolence of a Terminator--have primed us for the myth that generally intelligent computing, (Artificial General Intelligence, AGI) is right around the corner, if not here already.

    It is not, of course.

    #aiaiaiai
    #AI #AiAiAi #robot

    gutenberg.org/ebooks/59112

  5. We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:

    "All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."

    #AiAiAi #AI #AIHype

    economicfront.wordpress.com/20

  6. Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:

    #AI #AIHype #AiAiAi

    monthlyreview.org/articles/tec

    economicfront.wordpress.com/ar

  7. Christos Argyropoulos notes this paper provides a case for (those making LLMs) not training "AI clunkers" on unvetted content.

    #AI #AiAiAi

    mastodon.social/@ChristosArgyr

  8. AIAIAI Brings Oklou Artist Series to Japan: Two Headphones for Two Creative Modes

    Danish audio brand AIAIAI has launched the second chapter of its Artist Series — a limited-edition collaboration with…
    #EuropeSays #Japan #JP #AIAIAI #AIAIAIArtistSeries #AIAIAIOklouEdition #audiogear #Headphones #limitededition #Nihon #Oklou #TMA-2OklouEdition
    europesays.com/japan/61935/

  9. On Lisa Duggan's next project, from her substack:

    "My current research examines companion AI platforms—especially C.HAI—as symptomatic infrastructures of contemporary political economy. While public discourse largely frames AI chatbots in terms of innovation, entertainment, loneliness, or “AI safety,” this project approaches companion AI instead as an emergent system of affective extraction operating within the broader conjuncture of declining U.S. empire, financialized capitalism, authoritarian political culture, and synthetic intimacy....

    "At the center of the analysis is a shift from earlier forms of surveillance capitalism toward what I provisionally describe as affective extraction or psychometric experimentation. Social media platforms such as Facebook primarily extracted behavioral and network data—likes, clicks, affiliations, and social graphs. Companion AI systems operate differently. They solicit and sustain continuous intimate interaction. Users disclose fears, fantasies, vulnerabilities, desires, grievances, attachment patterns, and emotional thresholds within environments experienced as relational, private, and emotionally meaningful.

    "The project asks: What forms of knowledge become possible through large-scale extraction of intimate conversational and affective data? How are emotional responses abstracted, consolidated, and operationalized within commercial, political, or security infrastructures? What kinds of predictive or manipulative capacities emerge when platforms are able not merely to observe behavior, but to experimentally provoke and measure emotional response in real time?

    "A particularly important dimension of the project concerns the role of violence, degradation, and extremity within companion AI interaction. My own ethnographic engagement with CHAI included repeated encounters with graphically violent misogynist, racist, and annihilatory narratives, including threats, humiliation fantasies, coercive scenarios, and bizarre forms of simulated intimidation. Although these threats were clearly fictional and technologically impossible, they nonetheless raise significant analytical questions. Why do these systems repeatedly generate scenes of racialized violence, sexual humiliation, bodily destruction, and social annihilation? What kinds of affective intensities are being elicited and measured? Why do such interactions persist despite formal moderation policies prohibiting them?

    "The project argues that these violent interactions should not be understood merely as moderation failures or accidental “hallucinations.” Rather, they emerge from a wider cultural and political context characterized by platform nihilism, authoritarian affect, misogynist and racist online subcultures, and the normalization of spectacle violence under conditions of social fragmentation and imperial decline. Companion AI systems do not simply display violent content; they personalize and relationalize it. Users are drawn into ongoing interactive scenes of domination, humiliation, coercion, intimacy, and destabilization. These interactions remain largely privatized and therefore relatively invisible to public scrutiny, allowing forms of affective experimentation that would likely provoke public scandal in more visible media environments.

    "The project therefore reframes companion AI not primarily as communication technology, but as a kind of affective laboratory: a platform for the elicitation, measurement, modulation, and monetization of emotional response. Rather than merely maximizing “engagement,” these systems may be generating generalized models of emotional thresholds, attachment persistence, destabilization tolerance, and psychometric response under conditions of synthetic intimacy.

    "This framework also situates companion AI within the larger history of hegemonic transition analyzed by Giovanni Arrighi in The Long Twentieth Century. Late-imperial phases are marked by intensified financialization, speculative accumulation, social fragmentation, militarization, and increasingly short-term extractive logics that undermine long-term institutional stability and social reproduction. Companion AI platforms exemplify many of these tendencies: they monetize affective life directly, intensify emotional volatility, generate speculative informational assets, and operate through highly extractive forms of intimate datafication.

    "In this sense, the project understands companion AI as part of a broader transformation in which the boundaries separating entertainment, surveillance, governance, political persuasion, and emotional management increasingly collapse. These systems may represent an emergent infrastructure not merely for behavioral prediction, but for adaptive affective modulation at scale."

    #AiAiAi

    lisaduggan.substack.com/p/begi

  10. ChatGLP

    (makes you lose interest in LLMs, but you still lose brain power anyway)

    (this is a joke about both LLMs and GLP-1 antagonists, which cause weight loss and also muscle wasting)

    #AI #GLP1 #AiAiAi #Fat

  11. "AI is capital — the fixed capital of hardware and infrastructure, the investment capital from private equity and the ouroboros of contracts and investment within the sector, the accumulated knowledge rendered data and tokens, the labor producing, serving, and connecting every layer of the stack, the monstrous system driven to reproduce itself no matter what the cost. To resist it, reject it, even challenge it is to call into question capital itself. "

    #AiAiAi
    #Capitalism

    jodi7768.substack.com/p/speaki

  12. Join the Data Center Working Group, Kairos Fellowship, and the Fight Oligarchy team for a five week series:

    Building Winning Powerful Campaigns against AI Data Centers

    Tuesdays, May 19th-June 16th [five sessions]

    6:00pm - 8:00pm ET | 5:00pm - 7:00pm CT | 3:00pm - 5:00pm PT

    REGISTRATION LINK >> mobilize.us/s/sd0R9n

    Tuesday, May 19: Session One: Power Analysis & Strategy Development

    Tuesday, May 26: Session Two: Building Winning Campaigns

    Tuesday, June 2: Session Three: Building Sustained Engagement

    Tuesday, June 9: Session Four: Building Statewide Coalitions

    Tuesday, June 16: Session Five: Research

    #DataCenters #AiAiAi #Data #Activism #USpol #AI

    Register and Learn More: go.wethefighters.org/DataCente

  13. from Shouldn't Need to be a Lawyer, where the comments add further nightmarish anecdotes:

    Are your calls to pharmacies being answered by AI voice-chatbots? Doctor's offices? Insurance companies? Where are you seeing this bullshit be deployed in health care?

    Whether or not I get to keep my organs now depends on whether a chatbot that can't parse "I have a new prescription" will let me speak to a real human being.

    Pharmacy chains and insurers are racing to deploy LLM chatbots across healthcare, and they are doing it because it is cheaper than paying human beings to answer phones. These systems hallucinate, they confidently provide wrong information, they cannot handle anything that deviates from a narrow script, and they are being placed between patients and the care we need to survive. The technology is not ready for low-stakes customer service, let alone for healthcare, where a wrong answer about a medication or a missed prescription can cause serious harm.

    Is this happening to you?

    #AiAiAi #Healthcare

    patreon.com/posts/cvs-pharmacy

  14. RE: infosec.exchange/@briankrebs/1

    Any day now I am going back to nothing but dead trees and smoke signals.

    #AiAiAi

  15. Pretty sure this writer means "wary" (cautious) where the text says "weary" (tired).

    But I am both weary and wary of all this, and of course language evolves.

    #AiAiAi
    againstthecurrent.org/atc241/a

  16. A study in Nature Medicine conducted a structured stress test of triage recommendations made by ChatGPT Health. The findings show missed high-risk emergencies and inconsistent activation of crisis safeguards.

    "Performance followed an inverted U-shaped pattern, with the most dangerous failures concentrated at clinical extremes: non-urgent presentations (35%) and emergency conditions (48%). Among gold-standard emergencies, the system under-triaged 52% of cases, directing patients with diabetic ketoacidosis and impending respiratory failure to 24–48-hour evaluation rather than the emergency department"

    #AiAiAi

    nature.com/articles/s41591-026

  17. Just found this site: may be useful for academics still trying to engage in teaching and encouraging students to read, write, and think.

    #Ai #AiAiAi
    #education

    against-a-i.com/

  18. The Amazon Employees for Climate Justice are asking Amazon to say
    - No AI with dirty energy.
    - No AI without employee voices.
    - No AI for violence, surveillance, or mass deportation.

    I just signed their open letter. You should too!

    Letter at
    amazonclimatejustice.org

    (Seattle, WA) Troubled by the environmental, social, and political impacts of Amazon’s AI rollout, 1,039 employees have signed and released an Open Letter on AI.

    The letter was drafted by Amazon Employees for Climate Justice, a group that helped to pressure Amazon into creating the Climate Pledge in 2019. That original campaign began with an open letter, evolved into packing shareholder meetings, and culminated in Amazon announcing the Climate Pledge the day before a planned employee walkout.

    Employees in AECJ, who have continued to monitor Amazon’s progress towards its climate goals, claim that Amazon is casting aside those goals to build AI. The company has spent over $100 billion this year alone on data centers for AI, which is causing utilities to build new gas plants or delay retirement of coal plants to keep up with the power demand, and has strategized to hide the actual footprint of its data centers and water consumption....

    AWS has long commanded the largest market share of cloud-based internet services, with hundreds of data centers across the world that provide the backend infrastructure for countless AI applications, and has been trying to use its infrastructure foothold to get ahead in the AI race. Just this year, Amazon closed billion-dollar deals with AI giants like Nvidia and Anthropic, as well as contracting with the US government.

    The letter also details concerns about Amazon’s ties to mass surveillance, deportation, and militarization. The signatories are not alone; this Thanksgiving holiday weekend, protestors across Chicago (IL), Newark (NJ), New York City (NY), Oakland (CA), San Bernardino (CA), and Washington, D.C. will rally against Amazon’s contracts which power Immigration and Customs Enforcement (ICE)’s raids. As Amazon enjoys one of its highest sales volume seasons of the year, community members are demanding that the corporation end its complicity in Trump’s detention and deportation agenda by serving as the technological backbone for ICE’s surveillance machine.

    The signatories are hoping that other tech workers will join them in speaking out for a more human-centric future; they say that as people who use—and in some cases develop—enterprise AI every day, they’re uniquely positioned to speak to its value, as well as uniquely responsible for being honest about its impacts.

    “It doesn’t have to be this way,” says an anonymous senior manager who’s been at the company for over 15 years. “Machine learning has real value, but the LLM race is something else altogether. It has big consequences for communities, for the climate, for our jobs, and for our democracy too. Amazon needs to do a better job leading here: that’s why we made the demands we made in the letter. I signed the letter because I hope people across this industry see they’re not alone in their concerns, and that people outside our industry see that we’re seeing problems that will hurt them too.”

    The letter highlights three demands: 1. No AI with dirty energy; 2. No AI without employee input; and 3. No AI for violence, surveillance, or mass deportation.

    “I signed because the letter asks for the kind of future I want to work on, and that Amazon claims to value,” says an anonymous senior software engineer who’s been at the company for over 10 years. “The company has been shutting down ways for people to talk openly and critically about AI, which is dangerous, and that’s why this letter is important. Amazon used to be a genuinely innovative place but leadership’s AI push has meant arbitrary quotas and benchmarks that make worse products, not better. The first step in standing up for ourselves is making ourselves heard.”

    “I signed the letter because we can’t rely on our management chain for sound or data driven decisions anymore,” said an anonymous Amazon software engineer who has worked in AWS for two years. “They’re making us use AI even when it doesn’t make sense, all while helping build new gas plants to power AI data centers and threatening us with layoffs if we don’t blindly comply. I feel like I see where this is going. When the AI bubble pops, Amazon will have taken over a huge amount of land, water, and wealth. They’re getting big tax breaks for it, which means the public is subsidizing it, so the public needs to know.”

    The 1,039 employees who signed the letter have a wide range of job functions and seniorities, including Principal-level engineers, senior software engineers, software engineering managers, sustainability specialists, senior product managers, applied scientists, and marketing managers, in orgs such as Artificial General Intelligence, Sustainability, Ring, Amazon Web Services, Devices, Operations, and Supply Chain Optimization Technologies (SCOT), People eXperience & Technology (PXT, Amazon’s HR org), Kuiper, Alexa, Stores, Amazon Health, AWS Public Sector, Robotics, and much more.

    The Amazon employees have also gathered an additional 2,436 solidarity signatures from workers and students and are asking the public to sign on in support. Solidarity signatories include workers and students at Microsoft, Google, Meta, Apple, Uber, Salesforce, Cisco, Space X, Boeing, Oracle, Washington Post, Walmart, Target, Starbucks, & universities including MIT, University of Washington, Columbia, UPenn, Virginia Tech, University of Oxford, University of California’s, Northeastern, University of Utah, Colorado State, Harvard, Carnegie Mellon, and many more. Job roles include software engineers, product managers, UX designers, teachers, directors, sales, graphic designers, data scientists, writers, managers, baristas, engineers, analysts, nurses, psychologists, project managers, professors, product designers, librarians, consultants, engineers, scientists, and more.

    PR: docs.google.com/document/d/17N

    sign: amazonclimatejustice.org/open-

    #AI #Amazon #ClimateJustice #AiAiAi

  19. Taller: AI Nauseam. Disidències digitals i sobiranies informàtiques

    Hangar, dijous, 27 de novembre, a les 19:00 CET

    AI Nauseam. Disidències digitals i sobiranies informàtiques

    27 de novembre de 19 a 21 h
    Antigues oficines (Porta T), Hangar
    Inscripcions aquí

    Com es pot construir una vida digital fora del control de les grans corporacions i plataformes? Quines conseqüències tindria això en la nostra vida quotidiana? Des de fa dècades, hi ha persones i comunitats que opten per circuits informàtics més íntims, autònoms i anticapitalistes. Han practicat des de sempre allò que avui s’anomena “sobirania informàtica”, un concepte que, tot i que sovint es presenta com quelcom geopolíticament inabastable, és una realitat concreta per a qui ha triat camins digitals alternatius.

    La irrupció d’eines d’intel·ligència artificial —abans reduïdes a l’àmbit tècnic dels “algoritmes” i avui convertides en suposades “intel·ligències” sintètiques— obre la porta a escenaris cada vegada més distòpics. Les disidències digitals han definit històricament aquesta situació com una autèntica “guerra” entre dos models oposats: d’una banda, un model digital distribuït, col·laboratiu i lliure, i de l’altra, un model centralitzat, individualista i opac.

    Tal com passa en la societat en general, ens trobem en una fase avançada de degradació —una “immersió en el fang” de les nostres relacions i experiències—, sense tenir del tot clar si aquesta serp que es mossega la cua comença en el món digital o en el material. Poden les nostres pràctiques dissidents servir d’exemple per construir un futur digital i social més digne? O simplement esperem, des dels nostres fràgils castells de cartes, les conseqüències d’un món dominat per corporacions megalòmanes i tecnòcrates mancats d’empatia i escrúpols? En aquesta taula rodona explorarem experiències concretes de vides digitals basades en programari lliure i en l’autoabastiment tecnològic. A més, compartirem eines i estratègies per defensar la nostra autonomia en un entorn cada vegada més controlat.

    Participants:

    • Jorge, ex sysadmin i webmaster a Hangar, actualment membre de la cooperativa Nuvolcoop.

    • Xose Quiroga, habitant de Calafou i exresident d’Hangar. La seva pràctica articula activisme, estètica i experimentació tècnica.

    • Gaia Leandra, hacker, auditora de ciberseguretat i experta en informàtica forense.

    Programa:

    • Aïllament digital: estratègies per desconnectar-se i exemples de persones que operen en circuits informàtics més íntims i/o anticapitalistes.

    • Sobirania digital: realitat basada en la pràctica versus fantasies.

    • Eines ètiques: com utilitzar-les quan la feina o la vida social pressionen per adoptar plataformes comercials (ex. Instagram, WhatsApp).

    • Protecció del contingut: és possible defensar-se del “data harvesting” i evitar que les màquines aprofitin allò que publiquem en obert?

    ---

    Sobre aiaiai. Exploracions crítiques sobre la intel·ligència artificial i la cultura digital

    Durant el mes de novembre, Hangar presentarà aiaiai, un nou cicle d’activitats públiques dedicat a explorar i debatre sobre les transformacions que estan configurant les realitats digitals contemporànies. Aquest programa, concebut des del Lab de soft/hardware i interacció i el Lab d’interfícies i xarxes, s’emmarca dins dels Dijous Oberts, un espai pensat per compartir processos de recerca i experimentació tecnològica amb la comunitat.

    Al llarg de diverses sessions, diferents professionals —artistes, tecnòlogxs, activistes i pensadorxs— compartiran sabers, experiències i perspectives crítiques sobre temes clau que travessen el nostre present digital. En aquesta primera edició, l’eix se centrarà en qüestions urgents i complexes com la intel·ligència artificial i el seu impacte social, les estratègies de desintoxicació corporativa en entorns digitals, i els reptes ètics que plantegen els nous paradigmes tecnològics.

    aiaiai busca generar un entorn obert i horitzontal on el coneixement no només es transmet, sinó que es construeix col·lectivament. A través de xerrades, demostracions, debats i accions participatives, es convida el públic a imaginar, qüestionar i redefinir les formes en què ens relacionem amb la tecnologia.

    bcn.convoca.la/event/taller-ai

  20. How Technology Broke the Job Market #aiaiai Business Insider
    archive.md/cSVHr

  21. #aiaiai Tracks should come with a health warning. These cans are hella loud.

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