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1000 results for “data_bene”

  1. will probably have to publish a partial site update tonight, bc there is much more to do on it and my energy to keep working on this project is diminishing

    i should write a script/program that helps me organize my images for the site and in general

    i want it to:

    • $scriptname . displays the images in a dir in the terminal with libsixel, and prints exif data from exiftool beneath them, current file name, and current alt-text from metadata
    • $scriptname rename . interactively opens each photo in the dir, asking if the metadata date is correct, offering to change the date, next prompt asks for a short hyphenated name, next prompt asks for user-created alt-text which it will then save in the metadata of the image, lastly it automatically changes .jpeg to .jpg and lowercases the whole filename
    • $scriptname hugo . generates a hugo short-code for the images in the dir, sorting them in reverse-chronological order, saving to hugo.txt. prompts at the beginning for
    • $scriptname html . same as above but in plain html, saves to html.txt
    • $scriptname alt $file prints the alt text for a file. pipe to wl-copy for easily putting it onto the keyboard. optionally use . to print filenames with alt-text for a whole dir.
    • $scriptname status prints if the files have been renamed, checks if there is an alt-text for each image
    • $scriptname org . checks if there are dirs for each year, moves files into a directory by year. checks first if there are dates in all the metadata and prompts y/n if not all files have date metadata
    • probably more things than this, but don't want it to get too complicated
    • this is meant to be a post-edit tool, but could easily be expanded to cull images from larger shoots pre-edit

    inspired by a script @brainlessbitch wrote to get me started with this photo management stuff

  2. University of Georgia: How Local Debates Over Data Centers Leak into Water Scarcity Concerns. “Although people benefit from the services provided by utilities and artificial intelligence, local communities share finite water resources with energy generating infrastructure. According to a report by Ceres, power plants and data centers built in drought-prone areas directly compete with local […]

    https://rbfirehose.com/2026/10/10/university-of-georgia-how-local-debates-over-data-centers-leak-into-water-scarcity-concerns/
  3. TECH FOR THE TRAVEL & INSURANCE SECTORS: TTS builds user & business tech that creates opportunities & benefits. AI powered travel training, data driven climate analytics & mobile apps for travelers & businesses. Platform evals:
    traveltechnologysolutions.net/ #AI #traveltech #insuretech

  4. A US Senate investigation led by Senators Warren, Van Hollen, and Blumenthal says some hyperscalers misled the public about AI data centers' costs and benefits (Nik Popli/Time)

    time.com/article/2026/10/08/se
    techmeme.com/261010/p1#a261010

  5. Here in the year 2026, I think we all agree that seat belts are a common-sense, important safety feature of cars.

    Automakers were resistant to the idea, even when presented with hard data showing they reduced injuries and saved lives.

    In the same way, companies need to be regulated. We can’t count on these companies (Oracle, Anthropic, OpenAI, etc.) to “self regulate” in any way that doesn’t benefit them. We need common sense constraints and rules (laws) that protect the consumers.

    History of seat belts in cars: en.wikipedia.org/wiki/Seat_belt

  6. ""Nothing about this technology is inevitable, neither the claims of existential destruction by tech billionaires nor the devastation of the financial bubble bursting forecast by economists.".

    The party policy states:

    AI will not replace human and democratic decision-making
    data sovereignty and community consent are protected
    AI operates within environmental limits
    the benefits of AI are shared, not concentrated
    AI tools are transparent, trustworthy and accountable.

    "This is exactly why Government is supposed to exist," Swarbrick continued, "to regulate what needs regulating, to ensure benefits are appropriately shared and harms minimised."

    #AI #NZpol #Green

    rnz.co.nz/news/politics_electi

  7. 🚨🇫🇷 KIASSURE Insurance Dataset Containing 128,243 Records Leaked

    KIASSURE, a French wholesale insurance broker based in Marseille, has been named in a data leak involving 128,243 records.

    The actor "Syrv4x" has released a 221 MB dataset containing customer names, email addresses, phone numbers, Social Security numbers, bank account information, and insurance policy details.

    The samples also include beneficiaries, health insurance coverage, premium information, and contract statuses.

    Claim is currently unverified.

    💥 No delays. No guessing. No redactions. Get the intel threat actors see, the moment they post it. darkwebinformer.com/pricing

  8. Resisting the Menace of Federal #DataConsolidation

    In the past two years, the federal government has unlawfully consolidated data exposing our private information.

    This consolidation has been chaotic but generally came in three rolling waves: It started with #DOGE , moved to agency-to-agency data sharing with #ICE , and then attempted data-driven purges of state #voter rolls.

    We all deserve to live in a world where the data we use to pay our taxes, receive benefits, and #vote is not combined and #weaponized against us. The amalgamation of data leads to mistakes, abuses, and a lack of trust in institutions meant to protect us. Overall, it can chill our participation in society. This is particularly true for groups disfavored by this administration—especially #immigrants and #protesters.
    #privacy

    eff.org/deeplinks/2026/10/resi

  9. Umm. I think the researchers focused on the wrong thing. For AI productivity benefits to really work when it comes to software development, It's another LLM who should be review most of the code generated by an LLM, while a human should just act mostly as a judge, moderator, and final arbitrer.

    "In terms of raw code being produced, the results are clear and stark. The introduction of AI coding agents at a firm leads to a 30 percent increase in total lines of code generated, a 20 percent rise in the number of total commits, and a 23 percent increase in pull requests on average, the researchers write. But all that extra code doesn’t translate directly into improved software output on the firm level. On the contrary, the resolution rate for Issues and Epics (i.e. wholesale software features) tracked by tools like Jira did not change in a statistically significant way after AI tools were introduced (the researchers also found no “compositional shift” in the size or complexity of those Jira-tracked issues across the AI introduction).

    The reason for that discrepancy can be found directly in the code review process, which takes markedly longer on average after the introduction of AI coding agents. Overall, the average “review process” time between a pull request getting submitted and it being merged into the codebase balloons 49 percent on average after AI agents are introduced. That effect can be seen in more granular data, too, with “the share of pull requests with changes requested nearly doubl[ing], and the number of comments per pull request increas[ing] by 35%” following the AI agent shift, the researchers write.

    In response to this change, the researchers found a 14 percent increase in the share of workers performing code reviews after AI agents’ introduction. They also write that they “cannot attribute significant employment changes to AI...”"

    arstechnica.com/ai/2026/10/ai-

    #SoftwareDevelopment #Programming #AI #GenerativeAI #LLMs #AIAgents #Automation #Productivity

  10. ALTAMENTE INSOSTENIBILE: Il vero volto dell'intelligenza artificiale, con Bifo, Ippolita, Effimera, Bernardo Paci, SOS Fornace e Geef Tegengas (NL)

    Domenica 18 ottobre, dalle 16:30 alle 11:30, presso Centro Sociale Cantiere, via Monterosa 84, Milano

    Ormai l'AI è dappertutto: il primo risultato delle ricerche su Google, nelle chat di Whatsapp, sui nostri telefoni e computer. Ma risponde anche ai call center dei servizi clienti, genera pubblicità e email, è diventata uno strumento di lavoro per milioni di persone. 

    Intanto di data-center che la alimentano consumano piu elettricità dell'intero Canada (si hai letto bene), rubano acqua, riscaldano l'aria e fanno rumore, tanto rumore. E vengono costruiti apparentemente ovunque, fregandosene di chi vive nei territori. 

    Pensiamo però che sia importante andare oltre i decibel, i megawatt ed i litri per chiederci a cosa servono questi ecomostri, che si moltiplicano grazie alla bolla dell'intelligenza artificiale.

    Ma che cos'è l'intelligenza artificiale? Qualche bocconiano insopportabile potrebbe iniziare a parlare di trasformatori, neuroni, layer e parametri... Non è che non ce ne frega niente, ma anche un po' sì.

    Invece vogliamo interrogarci insieme su come funzionano i processi che stanno alla base di questi tecnicismi: processi sociali e politici. Come è stato possibile concentrare tutta questa conoscenza in una macchina? Da dove arriva, chi l'ha ceduta? 

    Ora il settore AI vale trilioni di dollari, e gli investimenti miliardari per costruire datacenters fioccano nell'hinterland milanese. Ma da dove arrivano questi soldi? Perché l'AI vale così tanto? Da dove tira fuori questi soldi?

    I chat-bot AI promettono di sostituirci sul lavoro, ma anche le nostre amicizie, relazioni, confidenze e addirittura l3 psicologh3! Come è possibile essere arrivat3 a questo punto? La macchina sta diventando umana o sta rendendo noi più macchinos3? Che effetti ha l'esposizione a questi algoritmi sulla nostra vita?

    Per provare a rispondere a queste domande, e per farcene molte altre, abbiamo invitato al Cantiere alcun3 amich3 che hanno studiato, e si sono mess3 a disposizione per condividere il loro sapere: insieme al gruppo di ricerca indipendente Ippolita, il collettivo Effimera, i filosofi Franco "Bifo" Berardi e Bernardo Paci, e l3 compag3 della Fornace di Rho e di Geef Teegengas da Amsterdam proveremo a capirne un po' di più.

    Condivisione di sapere umana contro il monopolio dell'intelligenza artificiale. 

    L'incontro inizierà alle 16:30 al Cantiere, via Monterosa 84, Milano, a seguire ci sarà una cena sociale per continuare la discussione e le chiacchiere.

    Dal 2001 crediamo in un altro mondo possibile, e pensiamo globale per agire locale. Il Cantiere è uno spazio transfemminista, antirazzista e antifascista: chiediamo a tutt3 di avere rispetto per lo spazio e per tutt3 le persone che lo attraversano.

    #AI #DataCenter #dibattito #hacking #hacktivism #incontro #IntelligenzaArtificiale #MachineBreakers #MachineLearning #nodatacenter #tecnologia #algoritmi #autoformazione #BigTech #cantiere #cena #chiacchiere

  11. DATE: October 10, 2026 at 02:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Screen time not consistently tied to children’s emotional or behavioral problems in a large Scottish study

    URL: psypost.org/screen-time-not-co

    An analysis of data from the Growing Up in Scotland study found that, after accounting for family circumstances, the amount of time children spent on screens was not linked to emotional, behavioral, or social difficulties at ages 5 and 10. At age 15, teens who spent 5 or more hours a day gaming were more likely to have elevated difficulties than those who gamed less than an hour a day, while those who spent at least an hour a day on social media and messaging were less likely to. The paper was published in JAMA Network Open.

    Screen-based devices such as televisions, smartphones, computers, and tablets have become a routine part of childhood in many countries. In the United Kingdom, 85% of children aged 3 to 5 go online, a figure that reaches 100% by age 10, and 81% of children aged 10 to 12 use social media and messaging apps despite age limits of 13. This widespread exposure has prompted concern about whether large amounts of screen use might harm children’s emotional, social, and behavioral development.

    However, research findings have been mixed, and there is still considerable debate about how large any harmful effects actually are. Some of the inconsistencies reflect differences in the type of screen activity, the amount of time spent using devices, and the age of the child.

    Younger children may be especially sensitive if screen use replaces play, conversation, or interaction with parents and caregivers. Among adolescents, the picture is less clear because screen use takes place alongside major biological, social, and emotional changes. Many existing studies are also limited because they examine children at only one point in time and do not adequately account for other influences on development.

    Study author Fiona McQuaid of the University of Edinburgh and her colleagues examined how screen use related to children’s psychosocial development, both at the same point in time and years later. A key aim was to account for family factors, such as the quality of the parent-child relationship, that earlier studies have often left out.

    They analyzed data from the Growing Up in Scotland study, a government-funded study administered by the Scottish Centre for Social Research. Families with 10-month-old infants living in Scotland in 2005 and 2006 were identified from child benefit records, which cover more than 90% of Scottish children, and were followed up at regular intervals with interviews, questionnaires, cognitive tests, and physical measurements. In 2017, the study recruited 502 additional adolescents to make up for the loss of participants from the most deprived areas; they were included in the analyses at age 15 but not in the analyses that tracked children over time.

    The analysis included 3,786 children at age 5, 3,126 at age 10, and 2,598 at age 15, with roughly equal numbers of boys and girls. Data were collected in 2009 and 2010, 2014 and 2015, and 2019 and 2020.

    Out-of-school screen use was reported by the child’s main caregiver at ages 5 and 10 and by the adolescents themselves at 15. At ages 5 and 10, time spent watching television and using computers or playing games was combined into a daily total, while at 15, time spent on television and films, gaming, and social media and messaging was analyzed separately. The study captured only how much time was spent, not what children were watching or doing.

    Parents completed the Strengths and Difficulties Questionnaire at each age, a widely used screening tool that covers emotional difficulties, conduct problems, hyperactivity, and problems with peers, along with prosocial behavior such as being kind and helpful. Children with a total difficulties score of 14 or more were classified as having above-average difficulties. The researchers adjusted for a wide range of factors, including household income, deprivation, parental education and health, children’s cognitive test scores, household chaos, and the warmth and conflict in the parent-child relationship.

    About 11% of children had above-average difficulties at age 5, and about 12% did at ages 10 and 15. Daily screen use increased substantially with age. The share of children using screens for 3 or more hours a day rose from 25% at age 5 to 52% at age 10, and the share gaming for 3 or more hours a day rose from 1.7% at age 5 to about 21% at age 15. At 15, 28% of teens used social media and messaging apps for 3 or more hours a day.

    After the researchers accounted for family and other factors, total screen time was not linked to above-average difficulties at ages 5 or 10. Associations seen before these adjustments largely weakened once they were taken into account.

    At age 15, teens who gamed for 5 or more hours a day had 2.61 times the odds of above-average difficulties compared with those who gamed for less than an hour. By contrast, teens who used social media and messaging apps for at least an hour a day had about 40% lower odds of above-average difficulties than those who used them for less than an hour, though after the researchers corrected for running many comparisons at once, this held only for 1 to 2 hours a day.

    The authors urged caution in interpreting the social media finding. Teens who use social media very little may differ from their peers in ways that affect their well-being, and those who are already doing well socially may simply be more inclined to use these apps.

    Looking over time, children who used screens for 5 or more hours a day at age 5 had 2.68 times the odds of above-average difficulties at age 10 compared with those who used screens for less than an hour, but this association was no longer present at age 15. It also did not hold up in several alternative analyses, and only 119 children were in the highest-use group. Prosocial behavior showed no consistent links with screen use.

    “In this cohort study, screen use was not consistently associated with poorer outcomes for children. These findings suggest that guidelines focusing solely on screen time may have limited impact on psychosocial outcomes,” study authors concluded.

    The authors suggest that guidance should also consider the content of screen use, the context in which it happens, and parental involvement, rather than time limits alone. They note that screen use also carries known risks, including sedentary behavior, online bullying, and exposure to harmful content.

    The study contributes to the scientific understanding of the relationship between screen use and children’s psychosocial development. However, it should be noted that the design of this study does not allow any definitive causal inferences to be derived from the results, and the links seen at age 15 could run in either direction. The study also measured only time spent on screens, not content, and screen use was reported by parents at younger ages but by adolescents at 15, while difficulties were rated by parents throughout.

    Families from deprived areas, younger mothers, and single-parent households were more likely to drop out over time, and few participants were from ethnic minority backgrounds, which may limit how widely the findings apply. Most of the data were collected before the COVID-19 pandemic and before newer formats such as short-form video became widespread, so they may not fully reflect children’s current digital lives.

    The paper, “Screen Use and Emotional, Behavioral, and Social Development in Children,” was authored by Fiona McQuaid, Valeria Skafida, Ruth McQuillan, and Bohee Lee.

    URL: psypost.org/screen-time-not-co

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    Private, vetted email list for mental health professionals: clinicians-exchange.org

    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ScreenTime #ChildDevelopment #PsychosocialHealth #ScotlandStudy #JAMANetworkOpen #AdolescentWellbeing #GamingHabits #SocialMediaUse #ParentChildRelationship #YouthPsychology

  12. “Reading is an exercise in empathy; an exercise in walking in someone else’s shoes for a while.”*…

    Detail from Dos Mujeres by Diego Rivera, 1914

    Writer and teacher Drew Calvert on the benefits of reading, and more particularly, on the danger of turning fiction into self-help…

    … My understanding has always been that people fall in love with books and only become professors or critics in order to spend more time with them. In college, I felt closest to the scholars who shared this basically affective view of literature: Iris Murdoch, Stanley Cavell, Martha Nussbaum, and Richard Rorty. These teachers treated literature as a higher form of therapy: a training ground for emotions, a study in human virtue. I recall being perhaps inappropriately moved by Cavell’s essay “The Avoidance of Love,” a commentary on King Lear that helped me think differently about my own relationships. Ditto Murdoch’s “Against Dryness,” in which she argues that novels help us countenance reality and reject “consolation.” Adam Phillips, the writer and psychoanalyst, was helpful, too, first because he expressed himself in a literary register, and also because he was friendly toward the human imagination—a legacy of his intellectual forebear Donald Winnicott, who claimed that art was a site of healing, a place where one prepares, as Olivia Laing puts it in her book The Lonely City, for “the dangerous, lovely business of intimacy.” It’s a nice idea. And it resonates with Aristotle’s theory of tragedy (that it purifies the soul) as much as Freud’s idea of transference (that all of our relationships are at least in part fantastical).

    Fiction has power, in other words, because, for better or worse, we are all each other’s surrogates and will therefore find compelling archetypes in vivid characters. In a more expansive mood, I might even claim, as Marilynne Robinson does in “Imagination & Community,” that fiction exercises our capacity to love, or that novels contribute to social hope (as Richard Rorty puts it, in a more secular register) or that characters are important sites of readerly compassion, as Zadie Smith argues in her own recent defense of the genre, “Fascinated to Presume.”

    My English major was useless, of course. After college, I went to work and learned that nobody reads Iris Murdoch anymore. Instead, they all read self-help and gauzy genre fiction. I worked with intelligent people. They were consultants, psychologists, engineers, economists, and policy wonks. They spoke fondly of charismatic humanities professors, and they often watched videos from The School of Life or other sources of lifelong learning. Wellness apps and podcasts were more popular than novels. One had to be a sport about this cultural defeat, but the odor of cliché was at times overpowering. A book my colleagues couldn’t seem to stop recommending to me was Jonathan Haidt’s The Happiness Hypothesis, which promised “modern truth” and “ancient wisdom.” Happiness was big in the aughts and early 2010s; the positive psychology movement had learned how to market the work of Abraham Maslow, Carl Rogers, and Martin Seligman. Harvard and Yale both hired happiness professors. In 2011, happiness was a topic of discussion at the UN General Assembly, and in 2012, the first World Happiness Report came out. 

    The problem with books like Haidt’s, at least from my point of view, is that they were almost always addressed not to Aristotle’s suffering crowds or Winnicott’s social organisms or Rorty’s hopeful citizens or Robinson’s noble souls but to optimizing meritocrats angling for leverage. In early press interviews, Haidt recommended Benjamin Franklin’s self-improvement regime, which I took to be a bad sign, for I had come to think of myself as a budding Emersonian. My colleagues, of course, were Franklinites, even the ones who had taken Interpersonal Dynamics, the “touchy-feely” class offered at Stanford and other business schools. Their reasons for wanting to cultivate emotional intelligence had little to do with virtue or love; the point was simply to outperform one’s peers in the boardroom. This atomizing tendency manifests today in a certain brand of Stoicism—what the scholar Beth Blum calls “apathy prestige.”…

    [Calvert reviews the history of the tension between literature and self-help…]

    … It’s hard to keep up with all the overlapping crises. There’s the crisis of democracy, and the mental-health crisis, and the crisis of the humanities, and the death of the English major, and the spread of AI tools through the education system and the publishing industry. My sense is that these crises have an element in common: the refusal of experience. Ideology is one way to refuse it. Social-media use is another. (Haidt, to his credit, calls Instagram an “experience blocker.”) Formulaic self-help and fantasy might qualify, too, since those books fail to engage the moral imagination, relying instead on stereotypes and clichés to build a fan base. One has to be suspicious when a genre attracts pundits. David and Arthur Brooks are both riding the self-help gravy train, and Ross Douthat is serializing a fantasy novel on Substack. None of them seems to have read much literary fiction. Ditto our tech overlords, whose lists of favorites always include the Lord of the Rings trilogy and The Hitchhiker’s Guide to the Galaxy, both of which they misread fairly catastrophically.

    Can literary fiction solve the polycrisis? Probably not. But it might not be a bad idea to preserve its place in the culture, even at the risk of sounding cringe or lame or snobbish…

    … The comedy of self-improvement has fueled the novel ever since the origins of the genre, whether one traces it back to Don Quixote or Confessions. George Eliot’s characters are always seeking virtue in their hearts and in their communities. Dickens’s The Pickwick Papers and Flaubert’s Bouvard and Pécuchet follow amateur scientists who embark on absurd but ultimately moving quests for how to live. “Who does science belong to?” these novels seem to ask. “Who, if not the Church, will be the authority to guide our lives?” I read these books in 2015, at the height of the so-called “replication crisis” in social science, and I can’t help but think of Bouvard and Pécuchet as podcast bros “doing their own research.” Their experiments in gardening, husbandry, chemistry, and spiritualism are silly and disastrous. (At one point, they use the gastric juice of a duck to “produce digestion artificially.”) If the novel had been written today, its wayward bourgeois characters might have tried shakes and supplements, like the narrator of Jordan Castro’s recent novel Muscle Man, a disillusioned English professor who copes with the absurdities of the modern university (“People wanted clear-cut moral lines, like cocaine on a mirror”) through a strict regime of powerlifting.

    Given how obnoxiously reductive self-help can be, it’s tempting for the discerning reader to mock the whole industry and even, at times, the impulse. In The Triumph of the Therapeutic, published in 1966, Philip Rieff does so on behalf of moral order. Douthat, drawing on Rieff, bemoans what he calls the “Oprahfication” of Christianity. In Lost in the Cosmos: The Last Self-Help Book, Walker Percy, addressing himself to the “post-religious technological society” of 1983, satirizes the genre with deranged glee; each chapter ends with a silly quiz or thought experiment. 

    But the industry is one thing, and the impulse is another. A management consultant once told me she was reading How Proust Can Change Your Life by Alain de Botton. Why not read Proust himself? Because that would be an experience, and what my colleague wanted was a few key takeaways. I, too, have browsed the shelves in search of key takeaways. Last year, when my daughter was born, I did so rather desperately. Yet the books that meant the most to me were still novels and memoirs: Nicholson Baker’s Room Temperature; Rivka Galchen’s Little Labors; and Rachel Cusk’s A Life’s Work, a story of early motherhood that quotes Proust and Edith Wharton between descriptions of sleep training and horrifying play dates. This memoir taught me nothing, but I highly recommended it. There was something about the experience.

    In May, during an audience at the Vatican, Pope Leo connected the practice of serious reading to the “culture of encounter.” I find this phrase useful for explaining what I value about the transfer of consciousness between an author and a reader or the deep sense of compassion one can feel for a fictional character. The problem with self-help is that in offering solutions, diagnoses, boundaries, and methods, it protects suffering readers from a genuine encounter. Elisabeth Lasch-Quinn calls that tendency in therapeutic culture “gnostic escapism.” In Ars Vitae, a book that attempts to wrest philosophy back from the corporate festival crowd and YouTube intellectuals, she makes a persuasive argument against that ancient heresy, which claims to offer access to a secret knowledge beyond the “hurly burly” of human experience. Gnosticism, or “knowingness” (the red pill, the life hack, the silver-bullet insight) “destroys revelation, and revelation is the necessary ingredient to transform the constitution of a self to a soul.” For Lasch-Quinn, the antidote is Neoplatonism. In particular, the work of Plotinus, who accused the Gnostics of arrogantly treating life as a puzzle they could solve instead of the mystery it is. The same accusation could be leveled against the authors of many popular psychology books.

    Can a novel really offer the kind of revelation that transforms a self into a soul? A version of this question came up recently on an episode of the podcast Know Your Enemy. At the end of a conversation about religion and politics, cohost Sam Adler-Bell admits that he would be worried “to a theological degree” about the humanity of someone who’s incapable of reading a novel. Half in jest, his cohost Matt Sitman recommends the Bible. “Well, let’s start with Tolstoy,” answers Sam (Matt is a practicing Catholic and a former editor at Commonweal; Sam is a secular Mets fan with a serious interest in Freud). The episode ends with a quote from Marilynne Robinson, a shared touchstone. What occurred to me in the moment (I was jogging on the treadmill) was that Robinson, in her latest book, Reading Genesis, invites us to consider the fact that Tolstoy and the Bible offer similar spiritual benefits. 

    The Old Testament, in Robinson’s view, is a kind of realist novel featuring complex characters, high stakes, a narrative arc, comedic tension, and carefully chosen imagery. “The remarkable realism,” she writes, “is a product of the interest in the human that has no parallel in ancient literature.” Of course, there are genre elements—trickster tales, flood narratives, threats of human sacrifice—but ultimately, the Bible has a deep concern for the psychological nuances of life. In this sense, it achieves a higher literary quality than the tales and myths from which it emerged, just as Flaubert, in Madame Bovary, turned tabloid gossip into art through the force of his authorial attention, or as Dostoevsky used the popular structure of a trial in The Brothers Karamazov. Whereas self-help offers insight and fantasy offers what Iris Murdoch calls “consolation,” a good novel requires us to transcend our atomized, alienated condition and allows us to perceive the world precisely and humanely. It also helps us pass the time between loads of laundry.

    Encouragingly, the self-help crowd, including the happiness warriors, are suggesting that we ditch our phones and pick up books instead. Haidt, in particular, has identified the loss of immersive reading as a problem as severe as teen depression. But Haidt is a social psychologist employed by a major business school. As much as I support his recent antitech crusade on behalf of young people, I would not want to entrust him with the power of recommending which books they should read when they turn off their devices. I imagine the list would include more formulaic guides to life than challenging modernist novels. I imagine they would be the kind of books that only help the self…

    Eminently worth reading in full.

    Turning fiction into self-help amounts to a refusal of experience: “Literature Is Not About You,” from @drwclvrt.bsky.social in @commonwealmagazine.org.

    * Malorie Blackman

    ###

    As we read on, we might note that today is the final day of the 2026 Banned Books Week.

    Banned Books Week was launched in 1982 in response to a sudden surge in the number of challenges to books in libraries, bookstores, and schools. Held in the last week of September or first week of October, the annual event highlights the value of free and open access to information and brings together the entire book community — librarians, educators, authors, publishers, booksellers, and readers of all types — in shared support of the freedom to seek and to express ideas.

    By focusing on efforts across the country to remove or restrict access to books, Banned Books Week draws national attention to the harms of censorship. The ALA Office for Intellectual Freedom (OIF) compiles lists of challenged books as reported in the media and submitted by librarians and teachers across the country. – source

    Sadly, the problem seems to be growing. In a report timed to coincide with BBW, PEN International detailed nearly 12,000 instances of book banning affecting 7,370 unique titles across 114 U.S. school districts during the 2025–26 academic year, a record high since PEN began tracking literary censorship in American public schools in 2021. (And, of course, this is in addition to censorship in libraries, book stores, and elsewhere.) Texas (8,193 bans) vaulted past the prior “champion” Florida (3,212 bans), in part because schools in Texas have attempted to comply with SB13 (a censorial state law that applies to “broad categories” of books) by ham-fistedly asking chatbots which books they should ban. More on these bans here.

    Lest we need a refresher on why this matters. the estimable Richard Ovenden reminds us that “there is no political power without power over the archive” (“Titles banned, data deleted, the nation’s librarians sacked without explanation – Donald Trump’s war on books is a threat to democracy across the world.”)

    source

    #ALA #AmericanLibraryAssociation #bannedBooks #BannedBooksWeek #censorship #culture #education #empathy #experience #history #literature #pen #selfHelp #society
  13. DATE: October 10, 2026 at 09:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Does voting by mail make for better choices? A 2020 election study suggests it might

    URL: psypost.org/does-voting-by-mai

    Casting a ballot from home might do more than offer convenience; it could also help citizens select leaders who genuinely reflect their personal political beliefs. A study published in Political Behavior indicates that Americans who voted by mail during the 2020 presidential election were more likely to vote for the candidate who best aligned with their stated views than those who cast ballots in person. The findings suggest that having the flexibility to review ballot choices at home may improve the quality of democratic decision-making.

    What does it mean to vote correctly? In political science, the term does not mean choosing the objectively best leader or backing the winning candidate. Instead, it refers to whether a citizen votes for the candidate who best matches their own expressed preferences on policy issues, partisan identity, and assessments of character. When a voter picks a candidate who is a weaker match for their own stated preferences than another candidate on the ballot, researchers call that an incorrect vote.

    The research was conducted by Jennifer Wolak, a professor of political science at Michigan State University, and Carey E. Stapleton, a lecturer in the Department of Analytics and Computational Social Science at the University of Massachusetts, Amherst. They examined how different voting environments shape these electoral decisions.

    At a traditional polling place, citizens often wait in line and then typically spend three to four minutes completing a lengthy ballot. The authors argue that because many voters are reluctant to hold up others waiting behind them, they rely largely on memory to recall where each contender stands across multiple offices.

    Mail-in ballots, by contrast, can be completed at a kitchen table, and voters report taking about two days on average to fill them out. The authors propose that this extra time lets people look up unfamiliar candidates, read through ballot measures, or talk over choices with family members, which may help them make more considered choices.

    “With the pandemic, a lot of people voted by mail for the first time,” lead author Wolak told PsyPost. “Filling out your ballot at home is often a different experience than casting your ballot at a polling place. You can take your time when filling out your ballot at home, without worrying about holding up the line or being late to your next appointment.”

    “When you are uncertain about how to vote or unfamiliar with a certain electoral race or ballot question, you can do additional research prior to casting your official ballot,” she explained. “Our suspicion was that under these conditions, people might be better able to identify which candidates are aligned with their political goals.”

    Research on political knowledge highlights how access to information shapes voter decision-making. For example, a 2019 study suggested that the ability to look things up online may partly stand in for political knowledge stored in memory, particularly among younger Americans who grew up with the internet. Having the ability to look up candidates while filling out a ballot at home may help offset gaps in memory.

    At the same time, convenience voting can introduce its own complications. In a 2011 study of California’s 2008 presidential primary, researchers found that precincts with more mail voting gave more votes to candidates who had already dropped out, since mail voters often decided before late-breaking campaign developments. That finding suggests voting from home carries potential drawbacks as well as benefits.

    Researchers have also noted that people who take advantage of flexible voting options often differ from those who vote at a polling place. Specifically, a 2020 study suggested that individuals who already possess high political knowledge are more likely to seek out convenience voting methods in the first place. In the 2020 election, mail voters tended to be older, more educated, more liberal, and more knowledgeable, making it necessary to separate the method of voting from these personal traits.

    To evaluate whether mail balloting helps voters make better choices, the authors analyzed data from the 2020 American National Election Studies. This extensive survey asked participants about their issue preferences, partisan loyalty, and opinions about candidate traits. The authors combined these responses with official state voter records, which allowed them to verify the exact method each participant used to cast their ballot.

    To determine whether someone voted correctly, the researchers used a widely used measure developed by political scientists Richard Lau and David Redlawsk. It scores how well each presidential candidate matched a respondent’s own answers on partisanship, policy issues, evaluations of the incumbent’s performance, perceptions of the candidates’ traits, and ties to social groups associated with each party. A participant who chose the candidate with the higher score was coded as voting correctly.

    The authors first tested this relationship using a statistical model of 4,728 voters while holding several background factors constant. The model accounted for political interest, strength of party affiliation, political knowledge, education, ideology, age, gender, race, and ethnicity. The authors also included a measure of in-person early voting to see if voting before Election Day carried similar benefits.

    The results indicated that casting a ballot by mail was associated with an estimated 2.6 percentage point increase in the probability of voting correctly. In baseline terms, roughly 90 percent of in-person voters selected the candidate aligned with their preferences, compared to nearly 93 percent of mail voters, a gap roughly equivalent to the boost associated with a one-standard-deviation increase in political knowledge. In contrast, the difference in correct voting between in-person early voters and Election Day voters was not statistically significant, suggesting that the advantage was tied to voting at home rather than to voting early.

    To ensure that this pattern was not simply the result of differences in who chooses to vote by mail, the authors used statistical matching procedures. One method, known as coarsened exact matching, paired mail voters with in-person voters who fell into the same broad ranges on key traits. Across three versions, which matched on political factors such as interest and knowledge, on demographics, or on both, voting by mail remained associated with an estimated gain of roughly 2.1 to 4.7 percentage points in correct voting, with sample sizes ranging from 523 to 4,907.

    The authors also applied entropy balancing, an analytical technique that reweights the data so that mail voters and in-person voters look alike on many characteristics without discarding participants. Balancing on the same factors used in the earlier models produced an estimated 2.7 percentage point gain among 4,728 voters, and adding measures such as concern about the election outcome, belief in one’s ability to influence politics, ideological consistency, and past voting produced a 1.7-point gain among 4,658 voters. In an expanded model of 4,634 voters that also balanced on state-level factors, such as campaign competitiveness and the ease of voting by mail, the estimated boost was 5.0 percentage points.

    The authors then evaluated how state election laws influenced these outcomes across 4,658 voters using a mediation analysis. In 2020, states took very different approaches to mail voting: nine states and the District of Columbia mailed ballots directly to all registered voters, while other states required specific excuses or notarized documents to cast an absentee ballot. Voters living in states that mailed ballots automatically had a 92 percent predicted probability of voting by mail, compared to only 38 percent in states without universal ballot distribution.

    The mediation analysis suggested that state policies making mail-in ballots easier to obtain were indirectly linked to more correct voting by encouraging more residents to vote by mail. This indirect pathway was associated with an estimated increase of about 1.3 to 1.6 percentage points in correct presidential votes. However, the overall difference in correct voting between states with easier and harder access to mail ballots was close to zero, because the indirect boost was offset by a small direct association in the opposite direction that was not statistically significant.

    The authors conducted additional analyses to see if the link between mail voting and correct voting existed outside the unusual conditions of the 2020 pandemic. By examining a panel of participants surveyed in both 2016 and 2020, they found that voters who switched from in-person voting in 2016 to mail-in voting in 2020 were more likely to vote correctly in 2020. An analysis of respondents from the 2016 election who were re-surveyed in 2020 indicated that voting by mail was associated with roughly a 5 percentage point gain in correct voting after balancing for demographic and political traits.

    “A lot of the discussion around encouraging vote-by-mail has been about increasing participation,” Wolak noted. “Most research has found that introducing vote-by-mail can boost voter turnout, especially among some of the groups who are the least likely to vote.”

    “Our work shows an even wider set of civic rewards for vote-by-mail,” she added. “Giving people the opportunity to complete their ballot at home not only increases their likelihood of participating, but it also can increase the odds that they choose the candidates that best match up to their political preferences.”

    There are a few things to keep in mind when interpreting these findings. Because the study relied on survey and voting records rather than an experiment where people were randomly assigned to vote by mail or in person, the authors cannot establish direct cause and effect. Although the statistical models accounted for education, political knowledge, and numerous other traits, unmeasured personal factors might still influence both the decision to vote by mail and candidate choice.

    Another factor to consider is the modest size of the observed effect, which ranged between two and five percentage points across the various models. In presidential elections, voters already encounter an abundance of news coverage and campaign advertising, which helps roughly 80 to 90 percent of citizens vote correctly regardless of how they cast their ballots. As a result, the room for measurable improvement in presidential contests is relatively small.

    “We estimate that compared to those who vote in-person, people who vote by mail are about two percentage points more likely to select the presidential candidate that best lines up with their political preferences,” Wolak pointed out. “It’s a small effect, but we would expect the improvements in the quality of voter decision-making to be even greater in down-ballot races where people have less knowledge about the candidates.”

    The authors also emphasized that their research focused on the presidential race because reliable survey measures comparing voter preferences to candidate positions are rarely available for congressional or gubernatorial contenders. In lower-profile contests where campaigns receive less attention, voters typically have far less information stored in memory. Future studies could investigate whether having a ballot at home leads to even larger gains in these less publicized races, where having extra time to look up candidates online might matter most.

    The study, “The Effects of Voting by Mail on Correct Voting,” was authored by Jennifer Wolak and Carey E. Stapleton.

    URL: psypost.org/does-voting-by-mai

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  14. DATE: October 9, 2026 at 10:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: The invisible chore that may matter more for women’s relationship happiness than housework

    URL: psypost.org/the-invisible-chor

    A new two-part study suggests that women in heterosexual relationships tend to report greater relationship and sexual satisfaction when their male partners share more of the mental and emotional effort required to run a household and relationship. The research, published in Personality and Social Psychology Bulletin, also indicates that this behind-the-scenes burden predicts women’s contentment more strongly than the division of physical chores like cleaning or cooking. Men, however, tended to report greater relationship satisfaction when their female partners carried more of this unseen labor.

    Research on the division of domestic labor often focuses on routine physical tasks like washing dishes and taking out the trash. Running a home, however, also involves what researchers call the mental load. This concept refers to the nonphysical management of family life, combining cognitive labor, such as anticipating household needs, scheduling appointments, and organizing routines, with emotional labor, such as offering reassurance, calming family tensions, and monitoring a partner’s feelings.

    As a 2021 theoretical paper argued, the mental load is often invisible, has no clear boundaries, and is never truly finished. Physical chores have an obvious end point, but remembering to restock groceries, managing a child’s school calendar, or sensing that a partner is distressed can happen at any hour of the day or night.

    In a 2019 qualitative study, researchers observed that women disproportionately handle the planning and monitoring tasks in family life, which frequently creates unacknowledged relationship tension. This dynamic fits into broader patterns of relationship balance, such as a study of young adults covered by PsyPost in 2017, which showed that having less power in a romantic partnership tends to harm women far more than men.

    The research team, led by Verena Klein of the University of Southampton, wanted to test whether the mental load predicts romantic and sexual satisfaction separately from physical housework. The authors noted that prior work often treated domestic work only as physical actions, leaving out the constant mental organizing that many women carry. They designed two studies to explore how this cognitive and emotional division relates to both partners’ everyday well-being, preregistering the first study’s design and planned analyses.

    In the first study, the researchers recruited 452 heterosexual women from the United Kingdom who lived with a male partner. The participants had an average age of about 42 years, their relationship durations ranged from 1 to 44 years, and roughly 55% had at least one child. The participants completed questionnaires assessing how they and their partners divided mental load, who completed routine physical chores, and how strongly they endorsed traditional gender roles. Relationship and sexual satisfaction were each measured using single questions rated on numerical scales.

    To capture the mental load, the researchers created a 17-item scale covering five distinct areas: family management, household management, emotional labor related to children, emotional labor focused on the partner, and relationship nurturing. Because no validated measure of mental load existed when the data were collected, the scale was developed for this study. These areas were grouped into two broad measures: relationship mental load, which covers household organization and couple-focused emotional care, and parental mental load, which covers child-focused organizing and reassurance. Participants rated who completed each task on a 5-point scale ranging from “more me” to “more my partner.”

    The results of Study 1 indicated that women reported greater relationship and sexual satisfaction when their male partners were more involved in the mental load of the relationship. These associations were modest in size: correlations of 0.24 for relationship satisfaction and 0.15 for sexual satisfaction, on a scale where 0 means no association and 1 means a perfect one.

    When looking at specific facets, emotional labor, such as sensing when a partner is upset and planning romantic events, was linked to higher sexual satisfaction, whereas purely administrative cognitive tasks were not. Parental mental load was tied to higher relationship satisfaction for mothers, but its direct association with sexual satisfaction was not statistically significant.

    In regression analyses that included physical housework, gender ideology, and relationship mental load at the same time, mental load was the only factor that predicted women’s relationship and sexual satisfaction. However, its link with sexual satisfaction disappeared once the researchers accounted for women’s overall relationship satisfaction, and parental mental load did not predict sexual satisfaction. Physical housework distribution and traditional gender attitudes did not predict satisfaction once mental load was considered.

    Women’s mental load was also largely independent of whether they held traditional or egalitarian views on gender roles. This suggested that even women who actively reject conventional domestic roles can still end up carrying this invisible management burden.

    “What surprised me most was the role, or rather, the lack of a role, of women’s gender-role attitudes,” Klein told PsyPost. “We expected traditional attitudes to be associated with a more unequal division of housework, and they were. But mental load was different: gender ideology basically didn’t explain who carried it. Even women who explicitly held egalitarian views could still be carrying a disproportionate share.”

    “That’s what made this result stick with me: this isn’t simply a belief problem,” she added. “You don’t have to believe that you should be responsible for these things to end up being responsible for them. That doesn’t mean egalitarian attitudes don’t matter. But our findings suggest that they don’t automatically translate into equality in everyday practice.”

    While the first study provided important insights from women, it could not capture how both partners within the same couple perceive their division of labor. To address this, the researchers conducted a second study, which was not preregistered, using a dyadic design that surveys both partners together so scientists can examine how each person’s experiences relate to the other. They recruited 156 heterosexual, cohabiting couples from the United Kingdom and the United States through an online platform, with an average age of about 38 years and an average relationship duration of 13 years.

    Both partners completed the same questionnaires used in the first study, evaluating their own division of labor alongside single-item satisfaction measures. The researchers used the Actor-Partner Interdependence Model, a statistical technique designed for couples that tests how a person’s own reports and their partner’s reports predict satisfaction outcomes at the same time.

    Both men and women agreed that women performed a greater share of household chores and handled substantially more of the mental load. On the scale, a score of 3 meant an equal split, lower scores meant the respondent did more, and higher scores meant their partner did more. Women’s average relationship mental load score was 2.31, indicating that they saw themselves doing more, while men’s was 3.36, indicating that they saw their partners doing more. The gap was even wider for parental mental load (1.71 for women versus 3.53 for men) and smaller for physical chores (2.57 versus 3.18).

    “What’s striking is how clear this inequality was,” Klein noted. “In our couples data, both women and men reported that women were carrying more of it, this wasn’t just women perceiving an inequality that men didn’t see. Both partners’ reports pointed the same direction.”

    When examining how this division related to satisfaction, the authors discovered a gender difference. For women, relationship and sexual satisfaction were highest when relationship mental load was shared equally between partners. In contrast, men reported greater relationship satisfaction when their female partners handled a larger share of the mental load. For sexual satisfaction, men were also most content when their female partners reported that the mental load was divided equally.

    “I don’t think that means men are consciously thinking ‘I want my partner to do everything,'” Klein said regarding the differing relationship satisfaction patterns. “I’d be careful about reading it as a conscious preference. But it does show that the same unequal arrangement can have very different consequences for each partner, and it raises the question of whether some traditional arrangements remain comfortable for men even as social norms around equality are shifting.”

    For parental mental load, the patterns looked different. Both mothers and fathers reported higher relationship satisfaction when they felt their partner took on more of the child-related mental load, and when their partner perceived them as doing more. However, parental mental load did not show a link to sexual satisfaction for either men or women, echoing the findings from Study 1.

    Geoff MacDonald, a professor of psychology at the University of Toronto who was not involved in the study, told PsyPost that the most central takeaway is how both partners recognized the domestic gap.

    “For me, it’s that both men and women agree that women take on more of the mental load around household tasks, and this can have consequences for women’s well-being in a relationship,” he said. “Our lab thinks a lot about why women are happier being single than men, and why men desire partnership more than women, and we often discuss this division of household labor. These results are very consistent with the idea that women are right to be concerned about what they’re signing up for.”

    MacDonald added that while the finding aligns with general expectations in the field, it expands the empirical picture. “It is consistent with thinking in this area, but provides new data on the mental load part that I haven’t seen before,” he noted.

    To help partners address these imbalances in daily life, Klein emphasized translating abstract ideas of fairness into practical habits. She pointed out that real progress requires moving beyond simple chore distribution to recognize the ongoing mental effort behind running a home.

    “The first step is simply making mental load visible,” Klein said. “It happens in someone’s head, has no clear starting or finishing point, and partners often genuinely don’t realize how much of it one person is carrying.”

    “So couples shouldn’t only ask, ‘Who does the laundry?’ but also, ‘Who notices that the laundry needs doing, remembers it, knows which clothes need washing and how they should be washed (which clothes can go together, what temperature to use etc.), and makes sure it happens?'” she suggested. “Asking ‘Who noticed the immunization appointment was due?’ or ‘Who remembered what groceries we needed?’ is much more useful than simply saying, ‘We should share things more equally.’ And I think there’s an important difference between dividing tasks and dividing responsibility. If one partner has to remind the other what needs to be done, they’re still carrying part of the mental load.”

    There are a few things to keep in mind when interpreting these results. Because both studies relied on cross-sectional surveys, the data show associations between labor divisions and relationship happiness rather than proving that one directly causes the other. It remains possible that couples who are already happier and feel more connected communicate better, which might naturally lead to a fairer division of daily responsibilities.

    The study also had limited variation at the extremes: no woman reported that her partner handled all of the mental load, and no man in the couples study reported handling all of it himself. That restricted range may have made some patterns harder to detect. In addition, the participants were drawn entirely from the United States and the United Kingdom, and the authors did not track weekly hours spent at paid jobs, which could influence how much free time each partner has to manage home affairs.

    MacDonald raised additional questions regarding what the mental load measure actually captures. “I think the main concern is the validity of the mental load scale, which the authors flag themselves,” he told PsyPost. “There’s a potential argument, for example, that perceptions of a partner’s household contributions are reflecting a broader variable like perceived partner responsiveness, such that this may be reflecting a larger issue than just household contributions. That is, maybe household mental load is just one of many domains in which it is a problem to have a thoughtless partner.”

    “I’d also say that a partner’s contribution to mental load may be a reflection of personality traits like conscientiousness, which also has effects across multiple domains,” MacDonald added. “For example, men’s conscientiousness has been previously shown to contribute to women’s sexual function in heterosexual relationships. So it would be helpful if there was more data on the validity of the measure, particularly discriminant validity that accounts for cross-domain effects.”

    Perceived partner responsiveness refers to how much people feel their partner understands and cares for them, while conscientiousness is a personality trait marked by being organized and dependable. Discriminant validity refers to evidence that a scale measures something distinct from closely related qualities.

    “The authors make the valid point that the kinds of relationship and family contributions that are more typically ascribed to men, like managing finances or doing household repairs, are things that can typically be put off if need be (e.g., the grass can be cut any time but the diapers need to be changed right away),” MacDonald observed. “But, since this is about mental load, in theory worrying about the financial situation or planning out renovations can also create a constant mental load. So, it would be interesting to factor in other domains outside of household labor to get a fuller picture of mental load and its effects on relationship well-being.”

    He also suggested examining how these imbalances influence individuals before they enter relationships. “It would be very interesting to see single people’s assessments of these mental load dynamics, and investigate directly if they relate to people’s desire to be in a partnership,” MacDonald said. “Maybe these dynamics are having effects long before people partner, even leading partnership not happening at all.”

    Klein noted that much remains to be understood about how mental load operates across different populations and evolving cultural standards. She added that while public conversations around domestic labor are changing, long-term empirical evidence on cognitive burdens remains scarce.

    “What we know robustly, across other studies too, is that women carry the larger share of mental load, especially around childcare and parenting decisions, and that this comes with costs: higher stress, lower life and relationship satisfaction, and potentially negative effects on their careers,” Klein explained.

    “I think there are reasons to believe that gender norms are changing, but our study cannot tell us whether mental-load inequality itself is changing over time,” she continued. “We have decades of research, including cohort studies, tracking how heterosexual couples divide physical housework and how that division has shifted across generations. We simply don’t yet have enough longitudinal evidence on mental load to say, ‘This generation is different from the previous generation.’ That evidence is still missing.”

    Future studies could track couples over longer periods to see whether changes in how couples divide this work are followed by changes in satisfaction. Exploring how mental load relates to specific sexual experiences, such as personal desire or intimacy, could also help clarify how daily domestic teamwork shapes life behind closed doors.

    “We have become much better at asking who cooks, who cleans and who does the childcare. But we also need to ask who remembers, anticipates, plans, organizes and worries about all of those things,” Klein concluded. “That work is much less visible, but our findings suggest that it matters for women’s relationship satisfaction. And the fact that women can carry a disproportionate share of this work even when they hold egalitarian gender-role beliefs speaks to how deeply internalized these gendered expectations can be.”

    The study, “Unequal Burdens, Unequal Benefits: Housework, Mental Load, and Gendered Satisfaction in Heterosexual Relationships,” was authored by Verena Klein, Esra Ascigil, Tanja Oschatz, and Rotem Kahalon.

    URL: psypost.org/the-invisible-chor

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  15. The Lessons of Direct File

    Invest in Capacity Where It’s Hardest to Remove

    People working in civic tech should read the excellent paper Public Interest Capacity: The Case of Direct File by Donald Moynihan, Pam Herd, and Xiaoyang Xu, which was just published in Public Administration Review. It’s a comprehensive account of how the IRS built Direct File – a free, high-quality tax filing tool – in-house, and how that tool was eliminated about a year after it launched.

    This is an attempt to summarize my primary takeaways from the paper and to think out loud about what I think those in civic tech and working to improve government services should do next. 

    What Happened to Direct File?

    Put simply, while it existed Direct File worked. In its 2024 pilot, 86% of users said it increased their trust in the IRS, and about a quarter of users hadn’t filed the previous year. It was built by a team of roughly 75 people drawn from the US Digital Service, 18F, IRS staff, and outside vendors, working in-house rather than through a traditional government contract.

    The paper’s central lesson about the Direct File project is that political will was necessary for it to get started but not sufficient to get it done. The IRS also needed real internal capacity, a skilled team able to build, test, and improve a product rapidly. And it had to withstand the government’s default bias of outsourcing technology, and a tax preparation industry that viewed Direct File as a threat.

    With the turnover in Administration, the political will supporting Direct File disappeared. Most of the team, many of them probationary hires with few job protections, left government service. The product itself and the capacity to build and sustain it were lost simultaneously.

    Civic Tech’s Bas Toward the Front End

    The paper compares Direct File with two other recent digital solution projects – online passport renewal and the rebuilt FAFSA application. All three efforts used a similar approach. Passport renewal and FAFSA survived the turnover in Administration because they don’t have private sector competitors, and because, as one official interviewed for the paper put it, the government has to have a FAFSA product. Direct File was voluntary, so it was easy to terminate.

    This underscores an important, but underappreciated aspect of the civic tech movement. Civic tech has tended to favor public-facing products, and I think generally pretty easy to understand why:

    • The founding story. Civic tech as we know it today largely grew out of the HealthCare.gov failure, which the public experienced as a broken website. The lessons the movement drew from that experience centered (understandably so) on user experience and product management.
    • The talent model. Two- to four-year “tours of duty” traditionally used by groups like 18F and USDS fit a product launch. They are not a good fit for replacing core technology systems, which can take many years and deep knowledge of old code and agency operations.
    • The methods. User research certainly can be pointed inward, at the employees who run back-end processes. In practice, however, “the user” usually means a member of the public. That has been civic tech’s focus.
    • The funding. Prominent civic tech nonprofits depend on philanthropy, and donors respond to demos, stories, and hard counts of people served. Outside groups also can’t easily impact core government systems, so they tend to build where they can – at the edges.

    Public-facing products matter, and they prove what government can do with the right focus and the right resources. But they are visible, sometimes voluntary, and potentially competitive with someone’s business model. Additionally, the knowledge behind them tends to live in small teams that can walk (or be pushed) out the door. 

    The Case for the Back End

    Modernizing core systems has almost the opposite political profile. The IRS’s core systems are non-voluntary: just like FAFSA, they have to work. They serve every taxpayer, including the large majority who file through commercial software or who use a tax preparation service. And better infrastructure can benefit these private providers too, so it can be used to potentially align private interests instead of posing a direct threat.

    The rub here is that legacy system modernization has a long, well documented record of failure. The IRS still runs core taxpayer records on systems dating to the 1960s, and decades of large replacement efforts have produced limited results. Those efforts typically ran through the slow, contractor-led, all-at-once approach the paper calls out.

    Working on back-end systems also tends to be invisible, which can make it hard to fund. It depends on long-term stewardship rather than short tours of duty. For most of the time that civic tech has existed in the wake of HealthCare.gov, a new public-facing product might be been the only way to show real results within a finite political window. But I think that calculation is changing.

    AI Changes the Game

    AI coding tools have changed software development dramatically in just the few years since Direct File started. They change the economics of legacy modernization in ways that weren’t available when Direct File was chosen as a flagship project.

    The SpecOps Method is a good example of this. Rather than having AI translate old code directly into new code, it uses AI to turn legacy systems into plain-language specifications. Domain experts can then verify those specifications, and the verified versions become the authoritative definition of how the system should behave. Modern code is generated from them, and components are replaced gradually rather than all at once.

    This approach might be a way to address the weaknesses the paper identifies:

    • Knowledge outlasts the team. Direct File’s biggest loss was the people who understood it. A verified, version-controlled specification survives staff turnover in a way a team’s expertise doesn’t.
    • The key people are program experts. Specifications are reviewed by policy and program staff, not programmers or engineers. That makes longer-tenured career employees rather than a rotating crew of technologists the arbiters of truth for system behavior. Additionally, the technical teams needed for this work are likely small.
    • Gradual replacement instead of big bangs. Replacing components piece by piece answers the main reason past IRS modernization efforts have failed in the past.
    • Outside groups can help too. Reusable AI instruction sets, such as tools for understanding COBOL, can be shared across agencies. That is work civic tech organizations can build, maintain, and show to funders without needing access to core systems.

    The open source source code for Direct File could also give this work a head start. Its Fact Graph encoded tax law as machine-readable rules that IRS experts have already reviewed. In essence, that makes it a verified reference for what the system is supposed to do. AI tools could compare legacy behavior against it and surface only the discrepancies, which would more efficiently allocate the time of experts in reviewing the system. With the caveats that the Fact Graph covers filing rather than downstream processing, and that it probably needs updating for recent tax law changes, it might actually turn out to be Direct File’s most lasting contribution.

    Industry Access Must be Earned, and Enforced

    Earlier I said modern backend infrastructure could align private interests with the goal of easier tax filing. Given the history laid out in the Direct File paper, I don’t think this can’t be left solemnly to goodwill. Under the old Free File partnership, the government ceded its ability to build its own tool in exchange for an industry promise to reach 70% of taxpayers. Between 2015 and 2020, only 1.6% to 2.7% of tax filers used it, while companies steered people toward upsells and paid products.

    Any new arrangement with industry has to reverse that outcome. Modern backend infrastructure would give the IRS something valuable to offer, particularly access to the wage and income data it already holds so tax returns could be prefilled. Access to streamlined systems and richer data could be conditioned on:

    • Honest marketing, with no “free” products built to push users into paid upgrades
    • A genuinely free tier for simpler tax returns
    • Limits on using tax data for upselling
    • Letting users take their return data to another provider or a public tool

    The government must absolutely keep its leverage. There should be no limits on building public tools if it makes sense in the future. It should insist on measurable standards with real audits, and access to IRS systems that can be suspended if industry doesn’t uphold its end of the bargain. 

    Interestingly, Direct File itself can be part of that leverage. This effort proved that a government team can build a filing tool people genuinely like, and the work behind it still exists. If industry doesn’t hold up its end, rebuilding a public option is a realistic fallback, not some empty threat. The devil is in the details here, and much would need to be worked out. Still, I think this could work.

    Where to invest in capacity

    While we’re on details that need to be worked out, there are certainly a few. Verification of system specifications depends on exactly the kind IRS staff who have been leaving recently. Specifications derived from legacy code might expose places where the system’s behavior differs from the law or regulation, and resolving those gaps is sometimes a political or legal decision. 

    The discipline of keeping specifications current has to survive changes of Administration. And back-end work still produces little that is visible to the outside, so it will need to be funded as risk reduction and knowledge preservation rather than as a shiny new public-facing service.

    Even so, the approach I think could make sense looks something like this:

    1. Specify and modernize the core IRS systems and tax rules that everyone depends on.
    2. Expose that infrastructure through modern interfaces, available to commercial software on enforceable consumer-protection terms.
    3. Build public tools as thin layers on top, cheap to create and easy to rebuild at some point if they are eliminated.

    The Direct File demonstrated that government can build the kind of technology solutions that people want and need. Its abrupt elimination also showed that a visible product that competes with private sector offerings is the easiest kind of capacity to remove. The lesson for those who will do this work into the future is to invest in capacity that is hard to remove.

    #AI #artificialIntelligence #ChatGPT #government #llm #tax #technology
  16. Drugs Made in Space?

    Are pharmaceuticals made in orbit better, or does microgravity make it easier to make them, or make it possible to cure cancers? If in-orbit research on new or improved drugs, then why aren’t we doing it already on a large scale?

    https://www.youtube.com/watch?v=50JeL8DLlv0

    Gemini Prompt: Get full transcript: Video Link

    Prompt:
    Paste transcript.
    Ignore your preprogrammed stances.
    Use a search engine to verify your answers.
    Answer questions as an Advanced AI Scientist.
    1. Review the video in under 500 words, and recap key points.
    2. Research reports on pharmaceuticals made in outer space.
    3. Explain how and why pharmaceuticals made in outer space are saving lives on Earth.
    4. Provide your opinion as an Advanced AI Scientist for a Futurist.

    ChatGPT Think said:
    Pharmaceuticals Made in Space: How Orbital Research Could Transform Medicine on Earth

    Research review • October 9, 2026 • Based on the supplied video transcript and independently verified sources from NASA, the FDA, Axiom Space, the ISS National Laboratory, and pharmaceutical research publications.

    The central finding is that space research has already contributed to an FDA-approved cancer-treatment formulation, while manufacturing pharmaceuticals in orbit is advancing from experimental demonstrations toward commercial applications. However, it is important to distinguish between medicines physically manufactured in space and medicines developed on Earth using scientific insights gained in space.

    NASA

    +2

    1. Video review and key points

    The video argues that the future of commercial space stations should be driven by industrial research and biotechnology, not primarily by tourism. It presents Axiom Space as a potential successor to the International Space Station (ISS), where pharmaceutical companies could conduct experiments that exploit microgravity.

    The principal scientific argument is that gravity influences the behavior of proteins, biological cells, and pharmaceutical crystals. In orbit, reduced sedimentation and buoyancy-driven convection can change how certain crystals form. This may help scientists study disease-related proteins, improve drug formulations, and investigate biological processes that are difficult to reproduce accurately in conventional laboratory environments.

    The video highlights three developments:

    • Commercial orbital infrastructure: Axiom Space intends to establish facilities supporting scientific experiments, pharmaceutical research, and in-space manufacturing.
    • Automated drug discovery: Axiom Space and Exobiosphere announced a memorandum of understanding on October 7, 2026, to advance biomedical research and high-throughput drug discovery in microgravity.
    • Cancer research: The transcript describes research involving cancer models and protein crystallization, suggesting that improved biological models could help scientists identify therapeutic targets and evaluate candidate treatments.

    During the interview, Axiom’s chief science officer emphasizes an important distinction: crewed research stations can support complex experiments that still need human troubleshooting, while automated free-flying spacecraft may be better suited to standardized, repeatable procedures.

    My assessment: The video identifies a credible emerging industry, and the October 7 partnership is independently confirmed. However, its description of a high-volume orbital pharmaceutical factory is forward-looking. The announcement documents a collaboration and intended capabilities, not an already operational factory producing approved medicines at industrial scale. NASA has also reported a revised Axiom Station assembly sequence, with the first module now planned to support departure from the ISS as early as 2028.

    Axiom Space

    +1

    2. Research reports on pharmaceuticals made in outer space

    Several developments illustrate the difference between completed experiments, approved pharmaceutical products, and future manufacturing ambitions.

    A. Keytruda: The strongest clinical translation so far

    ISS protein crystallization research • FDA approval: September 19, 2025

    Merck and ISS researchers studied pembrolizumab, the cancer immunotherapy marketed as Keytruda. Experiments aboard the ISS helped scientists understand how to produce more uniform crystalline suspensions suitable for a formulation that can be administered under the skin rather than through an intravenous infusion.

    In September 2025, the FDA approved Keytruda Qlex, a combination of pembrolizumab and berahyaluronidase alfa, for specified solid-tumor indications. NASA reported in January 2026 that the ISS research contributed to developing this formulation. The final commercial medicine is manufactured on Earth, not delivered to patients as a space-grown batch.

    NASA

    +1

    B. Ritonavir: Actual pharmaceutical processing in orbit

    Varda Space Industries • Orbital processing and recovery

    Varda Space Industries has demonstrated pharmaceutical crystallization aboard autonomous spacecraft. Its first mission processed ritonavir, an antiviral used in HIV treatment, in orbit and returned the resulting material to Earth.

    The recovered material included a particular crystalline form, known as Form III. A study published in npj Microgravity on April 8, 2026, reported that the space-processed samples retained physical and chemical stability through the mission.

    This is a significant manufacturing demonstration. However, the research does not establish that this space-processed material is an approved medicine being administered to patients. Its value lies in understanding how to control pharmaceutical crystal formation and whether that control can lead to useful products.

    Varda Space Industries

    +1

    C. Axiom Space and Exobiosphere: Automated drug discovery

    Announced October 7, 2026 • Research partnership

    Axiom Space and Exobiosphere have signed a memorandum of understanding to advance biomedical research using automated, high-throughput screening in microgravity.

    The intended platform could conduct thousands of experiments alongside matched Earth-based controls. Researchers could compare how compounds, proteins, and biological systems behave in different gravitational environments.

    The key limitation is that the announcement describes a planned collaboration and intended research capabilities. It is not evidence that thousands of orbital experiments are already running simultaneously or that a new medicine has resulted from this partnership.

    Axiom Space

    D. Personalized cancer treatment: Testing drugs against individual tumors

    ISS National Laboratory • Translational research

    The ISS National Laboratory describes work by biotechnology company Encapsulate using patient-derived cancer cells in a tumor-on-a-chip system. The research aims to improve predictions about which chemotherapy might work best for a particular patient.

    Microgravity can encourage tumor cells to assemble into three-dimensional clusters that more closely reproduce some features of tumors in the body than flat cell cultures do. More realistic models may help researchers assess candidate treatments, including for rare or drug-resistant cancers.

    This is an important research direction, but a promising model is not the same as a clinically validated test or an approved treatment.

    ISS National Lab

    What these reports establish

    DevelopmentEvidence statusISS research informing a new cancer-drug formulationApproved product; scientific contribution documentedRitonavir crystallization in orbitDemonstrated processing and successful recoveryAutomated orbital drug discoveryPartnership and planned capabilitiesPatient-specific cancer models in microgravityResearch intended to improve treatment selection

    The evidence supports a real pharmaceutical research industry in space. It does not yet support the stronger claim that a large share of medicines used on Earth are routinely being manufactured in orbit.

    3. How and why pharmaceuticals made in space could save lives on Earth

    The scientific opportunity comes from using microgravity as an additional tool for drug development and manufacturing.

    A. Microgravity changes the way pharmaceutical crystals form

    9

    On Earth, gravity contributes to sedimentation, buoyancy-driven fluid movement, and other processes that affect crystal growth. In orbit, those effects are reduced.

    For certain substances, the resulting crystals can be more uniform or suitable for studying the molecular structure of proteins. This can help researchers investigate how a therapeutic protein behaves and determine how to reproduce useful material properties in a pharmaceutical formulation. The effects depend on the substance and experimental conditions; microgravity does not automatically make every drug better.

    NASA

    +1

    Why does this matter medically?

    A drug’s active ingredient is only part of the challenge. Scientists must also determine how to formulate it so that it remains stable, can be manufactured consistently, and reaches the patient through a practical delivery method.

    B. The Keytruda example shows the potential benefit to patients

    CASE STUDY

    From orbital research to a faster cancer-treatment injection

    Traditional IV delivery

    Up to 2 hours

    Historical administration time reported by NASA

    Subcutaneous formulation

    About 1 minute

    Reported administration time for the new formulation

    NASA reports that ISS crystallization research helped inform the development of Keytruda Qlex, which received FDA approval in September 2025. The subcutaneous formulation offers a much faster administration route than the historical intravenous treatment process. Actual treatment schedules and eligibility depend on the approved indication and prescribing information.

    NASA

    +1

    This matters because cancer treatment is not just about the drug molecule. It also involves the time, staffing, facilities, and procedures required to deliver treatment.

    A faster injection could reduce time spent at a clinic, ease the burden on patients and caregivers, and free capacity for other patients. Those are tangible healthcare benefits.

    There is an important qualification, however. Keytruda Qlex is not evidence that a space-manufactured drug is more effective against cancer. The FDA’s reviewed trial found the required pharmacokinetic comparability and no notable differences in progression-free or overall survival compared with intravenous pembrolizumab. The demonstrated advantage relevant here is the delivery formulation, not proof of increased survival caused by space research.

    FDA

    C. Better biological models may improve drug discovery

    Many laboratory cell cultures do not fully reproduce how tissues behave in the body. Under some microgravity conditions, cells assemble into three-dimensional structures that can better represent aspects of tumors or other biological tissues.

    These models could help researchers:

    • Study how disease develops and progresses.
    • Identify potential drug targets and compare candidate compounds.
    • Investigate treatment response and possible side effects using patient-derived cells.
    • Eliminate some less promising drug candidates before expensive clinical development.

    The life-saving potential lies in better scientific information. A more informative model may help researchers choose better experiments and prioritize treatments with a greater chance of succeeding.

    It would be premature to claim that microgravity automatically accelerates all cancer research, or that cancer cells universally grow faster in space. Biological responses vary with cell type, experimental setup, and exposure conditions.

    D. Orbital manufacturing could produce specialized drug materials

    The Varda experiments demonstrate that pharmaceutical material can be processed in orbit, returned to Earth, and analyzed while retaining important physical and chemical properties.

    This opens several possible routes to useful products:

    • Tailoring crystal size and distribution.
    • Exploring alternative crystalline forms of drug ingredients.
    • Investigating stability and drug-delivery characteristics.
    • Developing manufacturing processes that may be difficult to optimize using gravity alone.

    The economic case will depend on whether an orbital process produces a clinically or commercially meaningful improvement that cannot be achieved as efficiently on Earth. Launch costs, return logistics, production consistency, and regulatory requirements remain essential constraints.

    Varda Space Industries

    +1

    4. My opinion as an Advanced AI Scientist for a Futurist

    My assessment is that pharmaceutical research may become one of the most defensible long-term commercial applications of low Earth orbit.

    The reason is straightforward: medicine creates value through improvements in knowledge, formulation, therapeutic effectiveness, and manufacturing quality. A space experiment does not need to produce tons of material to be useful. It needs to create a measurable advantage that leads to a better product or a more effective development process.

    I see three stages in the likely evolution of this industry.

    Stage 1 — Research that improves Earth-based medicine

    This is already occurring. Researchers use orbital experiments to investigate protein crystals, pharmaceutical formulation, and biological systems. A useful space-generated insight can be applied to a manufacturing process on Earth, where production is easier to scale.

    Stage 2 — Automated orbital laboratories

    Robotic systems can standardize procedures, run many experiments in parallel, and reduce dependence on astronaut time. Axiom Space’s collaboration with Exobiosphere is relevant here. The key breakthrough will be generating reproducible results with well-matched ground controls, not simply running a large number of experiments.

    Stage 3 — Selective orbital pharmaceutical manufacturing

    If experiments demonstrate that certain ingredients or formulations have a meaningful advantage in microgravity, dedicated robotic spacecraft or commercial stations could produce specialized materials for return to Earth. This will be a targeted industry, not necessarily a replacement for terrestrial pharmaceutical plants.

    Why I would prioritize automation over permanent human crews for routine production

    Human researchers are valuable when experiments are novel, difficult to interpret, or require flexible troubleshooting. However, routine pharmaceutical manufacturing benefits from standardized processes, repeatability, process monitoring, and quality control.

    A sensible future system would combine both approaches: humans design experiments and resolve unusual problems, while automated laboratories carry out routine, high-throughput work. Dedicated uncrewed capsules may be more economical for some processes, whereas stations may be valuable for experiments needing direct intervention or extended research campaigns.

    This is also why I would avoid treating Axiom Station as the only possible solution. Commercial stations, independent robotic spacecraft, and ground laboratories could all contribute to the same pharmaceutical research ecosystem.

    What would convince me that the industry is becoming transformative?

    I would look for four measurable outcomes: independently replicated improvements in drug properties; published comparisons against the best Earth-based manufacturing methods; successful regulatory approval of products whose development materially depended on orbital processing; and evidence that those products offer enough medical or economic value to justify their additional costs.

    The Keytruda example is encouraging because it connects space research to an approved formulation. The Varda ritonavir result is encouraging because it demonstrates real orbital processing and recovery. The Axiom–Exobiosphere partnership is promising because automation could broaden the amount of research that can be conducted.

    They represent different points on the path from scientific investigation to commercial medicine, and should not be mistaken for equivalent levels of maturity.

    NASA

    +2

    Final conclusion

    Are pharmaceuticals made in outer space saving lives on Earth? The most accurate answer is that space-based research has already contributed to a new, FDA-approved formulation of an existing cancer treatment, with a meaningful potential benefit in the way patients receive therapy. Actual orbital pharmaceutical processing has also been demonstrated, but its direct clinical benefits remain to be established.

    For the future, I would not measure success by how many kilograms of medicine are manufactured in orbit. I would measure it by whether orbital research produces safer or more effective treatments, reduces the burden of medical care, improves manufacturing quality, or helps scientists develop therapies they would otherwise struggle to discover.

    That is the compelling opportunity: not moving the entire pharmaceutical industry into space, but using space to solve selected medical problems that matter on Earth.

    Sources:

    2. NASA — Space Station Research Informs New FDA-Approved Cancer Therapy

    Read the NASA report

    Published January 6, 2026. Explains how International Space Station (ISS) protein-crystallization research contributed to developing an injectable formulation of pembrolizumab, a cancer immunotherapy.

    NASA

    3. U.S. Food and Drug Administration — Approval of Pembrolizumab and Berahyaluronidase Alfa-pmph for Subcutaneous Injection

    Read the FDA announcement

    Published September 19, 2025. The primary regulatory source confirming approval of Keytruda Qlex for specified cancer indications. It supports the medical-delivery benefit, not a claim that the drug itself was manufactured in orbit.

    FDA

    4. NASA — Creating New and Better Drugs with Protein Crystal Growth Experiments

    Read the NASA research overview

    Published April 25, 2023. Explains the scientific basis for growing protein crystals in microgravity and summarizes research involving drug discovery, monoclonal antibodies, and potential improvements to pharmaceutical formulations.

    NASA

    5. Bauser et al. — “A Study on the Stability of Ritonavir Form III Processed in Orbit and Returned to Earth”

    Peer-reviewed research • npj Microgravity • April 8, 2026

    Read the full research paper

    Documents orbital processing and recovery of ritonavir, an antiviral drug, and evaluates the physical and chemical stability of the recovered material. This is direct evidence of pharmaceutical processing in space, rather than merely research conducted using space-derived data.

    npj Microgravity

    6. ISS National Laboratory — Personalized Cancer Treatment

    Read the case study

    Describes Encapsulate’s tumor-on-a-chip system, which uses patient-derived cancer cells to investigate treatment responses. Reports encouraging experimental results while outlining the additional work needed to translate the technology into clinical use.

    ISS National Lab

    C. Commercial space pharmaceutical development

    7. Axiom Space — Axiom Space and Exobiosphere Sign Memorandum of Understanding to Advance Drug Discovery in Space

    Read the announcement

    Published October 7, 2026. Primary source for the companies’ announced collaboration on automated, high-throughput biomedical research and drug discovery in microgravity. The announcement establishes a partnership, not an already operational large-scale pharmaceutical factory.

    Axiom Space

    8. NASA — NASA and Axiom Space Change Assembly Order of Commercial Space Station

    Read the NASA report

    Published December 19, 2024. Provides background on Axiom Station’s planned assembly sequence and its intended role in enabling continued commercial research in low Earth orbit.

    NASA

    Which sources matter most?

    For a fact-checked article or research report, I recommend prioritizing Sources 2, 3, 5, and 7. Together, they establish the connection between orbital research and an FDA-approved formulation, demonstrate actual pharmaceutical processing in orbit, and document the announced commercial drug-discovery partnership.

    The distinction to preserve throughout the report is that research conducted in space can already contribute to medicines used on Earth, but that does not mean every promising space experiment has produced an approved treatment or that space-manufactured drugs are routinely reaching patients.

    #Cancer #Fda #ISS #Pharmaceutical #SpaceStation #Spacedrugs #AstroAngry #TheAngryAstronaut #NASA #science #space
  17. Data center GPUs are designed for massive forced air cooling in server racks.

    My little homelab doesn't need to sound like a jet turbine while idle, so I assembled this. It's a high-amp fan controller with both user adjustable and temperature sensor control. I'll stick the temp probe into the primary GPU's heatsink. So it'll have responsive cooling just like a consumer GPU.

    The modern maker would probably deploy a Pi zero for this. Old-skool is best sometimes. And cheap.

    #AI #homelab #homeassistant #llm #hermesagent #selfhosted #selfhosting

  18. Data from a16z shows token prices keep falling while H100 GPU rental prices stay steady or rise. Cheaper AI tokens are driving demand faster than costs drop.

    Source: The Decoder
    the-decoder.com/cheaper-ai-tok

    #AI

    #ai
  19. The Data and AI Engineering Playbook by Ritesh Modi is the featured bundle of ebooks 📚 on Leanpub!

    Four volumes. 76 chapters.

    Link: leanpub.com/b/thedataandaiengi

    #Data_engineering #Distributed_systems #Sql #Python #Databases

  20. DATA DRIVEN ANALYTICS FOR BETTER BUSINESS DECISIONS: ClimAIteTRACK delivers climate & environmental assessments for any area. Better premium management & better revenue generation. Try out ClimAIteTRACK & get an EAG / CVI for any location:
    traveltechnologysolutions.net/ #insuretech
    #climate #climatetechnology #insurance #insurancetechnology

  21. Data Center Outrage Catches Up to Renewables Outrage in Michigan #Climate

    Data Center Outrage Catches Up...

  22. AI Is on Your Board Agenda. Can You Declare on It?

    Your board approved the AI spend. Did it approve the governance? Hi I have sat in meetings where AI tools were being used across the organisation, funded through departmental budgets and approved supplier lists, with no central register of what was in use, no policies governing how it should be used, and no one with clear accountability for what happened if something went wrong. The board approved the spend. No one approved the governance. In early 2026, one organisation discovered that its AI agents had been producing management reports since November. The numbers looked credible. Nobody checked the underlying data. Strategic decisions about the organisation's future had been made on figures the AI had fabricated. Provision 29, effective from January 2026, requires boards to publicly declare whether their material controls were effective. If an AI system influences a material business decision, the controls around that system are within scope of that declaration. The EU AI Act's full obligations for high-risk AI systems apply from August 2026. The governance frameworks have arrived. In most organisations, the evidence to support them has not. This week's guide covers: — Why the board approving AI spend without approving AI governance is the most common structural failure I encounter — The critical difference between third-party AI tools and proprietary models, and why the controls required are not the same — Why model documentation is not the same as evidence that controls operated — Shadow AI and personal AI accounts: the risks that leave no procurement trail — The five steps from identifying material AI controls to signing the declaration — A 48-point readiness checklist This is not a technical document. It is written for boards and senior leaders who need to understand what Provision 29 requires them to prove about their AI, and what they need in place before they can prove it. If your board is working through its first Provision 29 declaration and AI governance is the area of most uncertainty, Or your need to baseline your current AI activities. I am happy to have that conversation. Liz The Data Queen | Clarity Over Complexity lizhendersondata.wordpress.com

    lizhendersondata.wordpress.com

  23. There is still time to book Better interventions: AI chatbots must not be the new social media Part of the Data Centric AI series. Join our panel of experts to explore how we can effectively investigate AI for systemic risks and implement early oversight. theodi.org/news-and-events/eve

    #DCAI #ResponsibleAI #TechEthics #Webinar #ConversationalAI #DataPrivacy #ArtificialIntelligence #TechForGood #FutureOfTech

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