L'extrême gauche, l'ultragauche. Les extrémistes de droite tiennent absolument à faire passer cela pour quelque chose d’équivalent. #FRpol
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331 results for “fair”
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"AI does not understand accountability, trust, culture, unwritten rules, ethical trade-offs or fairness, all of which shape reputational risk and ultimately drive revenue growth and profit margins."
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#Shipping #Forecast #Trafalgar: Northerly, backing southwesterly in northwest, 3 to 5. Moderate or rough. Fair. Good. (from UK MetOffice) #sailing #sail
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DATE: October 27, 2026 at 07:00AM
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: We’ll pay to get revenge on an algorithm, even though it can’t feel a thing
URL: https://www.psypost.org/well-pay-to-get-revenge-on-an-algorithm-even-though-it-cant-feel-a-thing/
When a computer algorithm treats people unfairly, they tend to get just as angry and retaliate just as often as they would against a human wrongdoer. A new series of experiments published in Journal of Experimental Psychology: General provides mixed evidence on whether punishing a machine brings the same sense of closure as punishing a person, but it suggests that a machine’s response to being punished, such as sounding hurt or promising to make fairer offers, can strengthen people’s sense that justice was done. The findings suggest that as artificial intelligence takes on more decision-making roles in society, organizations may need to design systems that can communicate accountability when things go wrong.
Automated systems are increasingly tasked with consequential choices, from screening job applicants to steering vehicles and prioritizing medical care. To understand how people react when these systems cause harm, psychologists study a concept known as mind perception, which is the everyday process of judging what kind of mental life another entity possesses. People generally evaluate minds along two separate dimensions: agency, meaning the ability to think, plan, and act intentionally, and experience, meaning the capacity to feel physical pain, pleasure, fear, and emotions.
In human interactions, the capacity to commit a moral wrong and the capacity to experience punishment usually go together, since a sane adult can both plan a harmful act and feel the sting of a penalty. Artificial intelligence splits these two qualities apart because people often view machines as having enough agency to cause deliberate harm, yet almost no ability to feel pain or remorse. For instance, research covered by PsyPost in 2023 found that people judged AI agents as more deserving of blame than humans in one classic life-and-death dilemma. Similarly, another 2023 study covered by PsyPost showed that people hold automated driving assistants responsible for road outcomes while simultaneously categorizing the software as a mere tool rather than a true moral being.
This mental divide raises questions about whether punishing an algorithm can produce justice satisfaction, which is the feeling of closure, fairness, and resolution a victim experiences after an offender is penalized. Psychological theories generally propose two reasons why punishment feels satisfying: either it fulfills a desire for retribution by making the wrongdoer suffer for their actions, or it serves a communicative role by teaching the wrongdoer a moral lesson.
Because people tend to see machines as unable to genuinely suffer or feel guilt, study author Alexander Eng, an associate professor of organizational behavior in the Department of Management at the Asia School of Business in Kuala Lumpur, and co-author Kai Chi Yam of the National University of Singapore examined how people emotionally and behaviorally respond during and after they penalize an unfair algorithm.
“Research on punishment usually assumes that anyone capable of doing wrong can also be punished,” Eng told PsyPost. “We tend to see a young child as unable to truly commit a wrong, and so also as unfit for punishment. Machines break that link: people see AI as able to make decisions that hurt them, yet unable to feel pain, regret, or learn a moral lesson. As AI takes on decisions like medical triage and firing employees, we wanted to know how people respond when they try to hold it accountable, and whether punishing it gives them any sense that justice was done.”
The researchers began with a pilot study of 380 English-speaking adults in the United States, recruited through the online platform Prolific, to verify whether people actually punish algorithms. Participants played a single round of an economic exercise called the ultimatum game, in which a partner was given £0.50 and proposed how to split it. If the participant accepted the split, both parties kept their share, but if the participant rejected it, neither party received anything, making rejection a form of costly punishment.
Participants were told their partner was either another human participant or an algorithm, and they received either a fair offer of £0.25 each or an unfair offer where the partner kept £0.45 and left the participant just £0.05. In reality, the researchers preset all offers. Receiving a stingy offer from an algorithm provoked much higher anger (an average of 3.12 on a 5-point scale) than receiving a fair offer from an algorithm (1.31). When given the unfair deal, participants felt comparable anger toward algorithms (3.12) and humans (2.91), and they punished the unfair algorithm by rejecting its offer 57.8 percent of the time, which was not statistically different from the 62.2 percent rejection rate for unfair humans.
In their first main experiment, the authors examined what happens after punishment is delivered using a final sample of 123 Prolific participants. Every participant received the unfair £0.05 offer in the ultimatum game from either a human or an algorithm, decided whether to accept or reject it, and then answered five questions measuring their justice satisfaction, such as whether they felt everyone got what they deserved. Afterward, participants played a second exercise called the dictator game, where they were given £0.50 and could unilaterally share any amount in £0.05 increments with their partner, while also having the option to switch to a new human partner first.
As in the pilot study, participants rejected unfair offers from algorithms (38 out of 62) and humans (40 out of 61) at similar rates. Overall, the 78 participants who punished their partner by rejecting the offer reported higher justice satisfaction (3.57 out of 5) than the 45 who accepted it (2.63). Controlling for whether participants switched partners, the satisfaction gap between those who punished and those who did not was larger when the offender was a human than when it was an algorithm, and higher justice satisfaction in turn predicted greater generosity in the second game.
Because the option to switch partners or the belief that computers have no use for money might have influenced the first experiment, the researchers conducted a second study with a stricter setup among 739 participants, preregistered along with the third and fourth experiments through the journal’s registered-report review process. Participants were told that five algorithms and five human research assistants were competing across multiple negotiations, and that while neither kept the money personally, the lowest-earning algorithm and human would be eliminated from the competition.
Participants were not allowed to switch partners between the ultimatum game and the dictator game, and they also completed scales measuring their partner’s perceived agency and emotional experience, along with their own baseline tendency to attribute human-like consciousness to technology, a trait known as anthropomorphism.
Participants rated human partners higher on agency (3.30 versus 2.79 out of 5) and much higher on the capacity for emotional experience (3.20 versus 1.86) than algorithmic partners. Even so, participants rejected the unfair offer at comparable rates for algorithms (71.0 percent, or 262 of 369) and humans (65.4 percent, or 242 of 370), and those who punished their partner felt much greater justice satisfaction (3.53) than those who accepted the unfair split (2.71). In contrast to the first study, after controlling for baseline anthropomorphism, the link between punishing and justice satisfaction, and in turn generosity, was equally strong whether the partner was an algorithm or a human.
“People react to an unfair machine much as they react to an unfair person,” Eng said. “Participants got just as angry at an algorithm that made them a lowball offer as at a human who made the same offer, and they were just as willing to give up their own money to punish it. Whether punishing the machine felt as satisfying was less consistent across studies.”
A third study tested these dynamics in a different scenario called the trust game with 735 participants who chose to invest £0.20 with a human research assistant or an algorithm. The investment was tripled to £0.60, and the partner broke the participant’s trust by returning just £0.10 instead of a fair £0.30 split. Participants could then penalize their partner by recommending on a 1-to-5 scale that the partner be removed from the player pool, before rating their justice satisfaction and playing a second round where the roles were reversed.
Participants gave similar removal ratings to unfair algorithms (3.37 out of 5) and unfair humans (3.26). Unexpectedly, harsher removal ratings were associated with lower justice satisfaction rather than higher closure. The authors suspect this is because participants only submitted a recommendation and never saw a penalty take effect, so the ratings may have reflected anger more than punishment. In an exploratory analysis looking directly at anger, feeling angrier predicted lower justice satisfaction and less generosity toward both types of partners, with anger reducing justice satisfaction slightly more when the partner was human than when it was an algorithm.
In a fourth study involving 3,684 participants who rejected the unfair £0.05 offer in the ultimatum game, the researchers tested whether a message from the penalized partner could increase justice satisfaction. Immediately after rejecting the offer from a human or an algorithm, participants received either no message at all, a message expressing emotional distress over repeated rejections, a message calmly acknowledging that the offer was too low and promising to be fair in the future, or a combined message expressing both distress and a moral lesson learned. A separate preliminary test with 305 people confirmed that these messages effectively conveyed emotional suffering and moral learning as intended.
Across the entire sample, participants paired with an algorithm reported slightly lower justice satisfaction (3.56 out of 5) than those paired with a human (3.66), a small difference that accounted for about half a percent of the overall variation in satisfaction scores. However, receiving a message from an algorithm expressing emotional suffering (3.57) or moral learning (3.62) produced higher justice satisfaction than receiving no response from the algorithm (3.42).
For human partners, the differences between receiving no message (3.57) and receiving a suffering (3.66) or moral learning (3.69) message were not statistically significant after adjusting for multiple comparisons. Still, the boost from a message was not statistically larger for algorithms than for humans, and combining both messages added no measurable benefit beyond either one alone. The results suggest that a response from a machine can help satisfy people’s need for redress, even though participants rated algorithms as far less capable of feeling than humans.
“We expected an apology or a show of remorse from an algorithm to count for little, since people don’t believe algorithms feel anything,” Eng explained. “Yet those messages raised people’s sense of justice for algorithms at least as much as the same messages did for humans. It was also striking that people paid to punish an algorithm that couldn’t keep the money and couldn’t experience the loss.”
A final supplemental experiment with 1,093 participants examined whether dissatisfaction after being wronged causes people to take out their frustration on an innocent bystander, a behavior known as displaced aggression. Participants received the unfair £0.05 offer in the ultimatum game from a human or an algorithm, decided whether to accept or reject it, and then played the dictator game paired with a brand-new human research assistant who had no involvement in the first round.
Controlling for baseline anthropomorphism, participants who punished their initial partner by rejecting the unfair offer shared slightly more money with the innocent bystander (an aggression score of 6.75 versus 7.07 on an 11-point scale, where higher scores mean less money shared) than those who did not punish, regardless of whether the original wrongdoer was a person or a machine.
“The anger and punishment results held up across more than 6,000 participants,” Eng noted. “The machine-versus-human differences in justice satisfaction were small where they appeared at all: in our largest study, of about 3,700 people, partner type explained roughly half a percent of the variance. I’d treat that as a modest pattern that needs more testing.”
As with all research, there are some caveats to consider when interpreting these results. All of the experiments relied on brief online financial games where the harm consisted of being offered an unfair split of £0.50 by an anonymous text-based partner. How people think and feel when a simple computer program shortchanges them by a few cents may differ from how they react to high-stakes algorithmic harm in the real world, such as an automated system wrongfully denying a mortgage, firing an employee, or causing a traffic accident. In addition, participants chose for themselves whether to punish, so differences between those who punished and those who did not may partly reflect who chose to punish rather than the effect of punishing itself.
“These were online economic games with small stakes, splitting 50 pence,” Eng pointed out. “Real harms from AI, like a denied loan or a wrong diagnosis, carry much more weight, so the effects could look different there. The justice satisfaction results were also mixed: one study found a clear gap between machines and humans and another found none, so I wouldn’t claim that punishing machines never satisfies people.”
The evidence on whether punishing a machine feels less satisfying than punishing a person was mixed across the studies, appearing in the first and fourth experiments but not in the second, while the third experiment’s punishment measure did not work as intended. The clearest gap came from the smallest experiment, which included 123 participants after dozens of duplicate entries were removed and which had originally been preregistered to test different outcomes; the larger, preregistered second experiment did not replicate it.
The authors also noted that their five-item survey measuring justice satisfaction showed relatively low internal consistency in the fourth study, indicating a need to develop more precise tools for measuring psychological closure after technological failures. Future research could explore how different types of real-world errors and corrective feedback shape public trust, helping engineers and policymakers design accountability measures, such as holding human creators rather than machines responsible, that satisfy human intuitions of fairness.
“We want to test other kinds of wrongdoing and punishment beyond economic games, and develop a better measure of justice satisfaction,” Eng added. “In a related project, I’m studying the ‘AI disclosure penalty,’ where people value content less once they’re told AI made it.”
The study, “Artificial Intelligence and Machines Are Capable of Harm, but Not of Experiencing Punishment,” was authored by Alexander Eng and Kai Chi Yam.
URL: https://www.psypost.org/well-pay-to-get-revenge-on-an-algorithm-even-though-it-cant-feel-a-thing/
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ArtificialIntelligence #AI #Algorithms #MachineLearning #AIethics #Psychology #SocialPsychology #Justice #Accountability #HumanBehavior
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🔴 Pourquoi les cheminots doivent rejoindre par la #grève la révolte de la jeunesse ?
Face à une mobilisation historique de la #jeunesse et à la répression massive du gouvernement, le #17octobre a montré que la colère gronde dans toutes les couches de la société. Alors que les cheminots subissent eux aussi des dégradations brutales de leurs conditions de #travail et de vie, ils doivent rejoindre la jeunesse par la grève pour faire reculer le gouvernement.
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🛟 Je cherche du soutien et des conseils.
Pour la 4ème fois, l'agence immobilière augmente mon loyer alors que mon appartement est insalubre, de l'eau coule du plafond, les murs sont moisis.
L'agence a programmé des travaux pour réparer les fuites provenant du logement du dessus mais cherche à me faire payer la rénovation intérieur.
Régulièrement, l'agence impose des rapports de force. Je suis au RSA et je suis fatigué de lutter.
L'ADIL n'a aucun pouvoir, seulement du conseil.
#locataire #proprietaire #agenceImmobiliere #aide #loyer #toulouse #rsa #insalubre #droitimmobilier
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Autumn in the woods comes with a fear I feel every year: that the colour will peak and fall in the gap between one visit and the next, and that I will miss it for another whole year. There is a great deal of anticipation in the season. There is a fair amount of anxiety in it too.
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Malaysia’s AI rulebook is being written right now. There is also a second draft most people have missed.
The new section breaks into build requirements: notice and consent wording, pre-launch validation, vendor and cross-border data rules, security controls for external AI tools, fairness testing, audit records.
Read the updated resource at https://www.jampuk.com/resources/ai-regulations/malaysia/
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#Eco #Expo #Asia 2026 will bring environmental #technology #suppliers, government representatives, #investors and corporate #buyers to #HongKong from 26–29 October 2026, with #green #transport, #smart #buildings, artificial intelligence (#AI) and circular-economy solutions among the principal #themes. The 21st edition of the #environmental #trade #fair will take place at #AsiaWorld-Expo under the theme “Connecting the #World for a #Sustainable #Future.” https://chinaexpohub.com/green-energy-smart-cities-and-ai-recycling-take-centre-stage-at-eco-expo-asia-2026/
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Cheer up, Scrooge! The merriest Christmas theatre shows, from musketeers to a penguin party
By Arifa AkbarThe festive season brings swashbuckling adventure, heartwarming Antarctic antics, a yuletide spin on Pride and Prejudice and Matthew Bourne’s Cinderella
#Christmasshows #Christmas #Lifeandstyle #Stage #Culture #Theatre #Dance #Pantoseason #Musicals #Shermantheatre #RoyalExchange #RoyalShakespeareCompany #BirminghamRep #Fairytales #NationalTheatre #Childrenstheatre #Puppetry #CharlesDickens #StephenSondheim #MatthewBourne #TheGuardian #ArifaAkbar
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i did not understand correctly. most of the “losses” are increases in the value of convertible notes (debt that can be converted to equity), and a lot of that debt will be converted to equity when the ipo goes through. if the share price increases after ipo, lenders win big. if it goes below the original fair value for the notes, they’re screwed. that is, unless they are allowed to opt out of conversion and let the notes mature, in which case anthropic owes them a fuckton of money later
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Feed Your Pasta Fever at Fantino
Forget lining up for brunch; these days, we’re lining up for pasta. On any given day, you’ll find some of Portland’s best-dressed congregating outside of Fantino, the not-so-new but still very buzzy no-reservations Italian spot that opened in February 2025 on an otherwise fairly quiet stretch of SE D…
#dining #cooking #diet #food #Italianfood #Italia #Italian #ItalianFood #italiano #italy
https://www.diningandcooking.com/2872662/feed-your-pasta-fever-at-fantino/ -
Camarades qui ont des règles, on a porté à mon attention une enquête sur les effets des gaz lacrymogènes sur le cycle menstruel, portée par le collectif féministe "Lacrymos de sang" :
https://lacrymosdesang.my.canva.site/
https://framaforms.org/effets-des-gaz-lacrymogenes-sur-le-cycle-menstruel-1792644427J'y apprends (sans trop de surprise) que les effets des gaz sur la santé gynécologique sont méconnus mais très certainement invalidants voire dangereux !
À faire tourner, l'appel à témoignages sera clôt le 31 octobre.
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So whoever needs to hear this:
The latest "AI" frontier models do NOT generate #accessible web pages.
They will not automate #accessibility testing, cannot take the role of a manual tester, will not magically fix all #accessibility issues on your website and cannot catch accessibility issues for you no matter how strictly you frown at them. What they will do is give you dramatically verbose, overengineered solutions to problems that don't actually exist.
I just tested this today. You still need a human in the loop who knows what they're doing. i'm one of those, happy to help if you pay me tokens. And by tokens I mean fair wages.
Don't get me wrong, I do use #AI for my own projects at times. They just really aren't good at this.
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Mike McCarthy has been impressed with Spencer Anderson: “Spencer, I was so impressed with him. It was a big part of the discussion of how we were trying to forecast him for where we felt he could play. Because he played so many positions. When you have someone like Spencer, with his unique talents, it gives you such great versatility. But in fairness to him, I wanted to give him a chance to compete for a [starting] job. That’s why we started the way we did with him at the right guard, and then he had the injury. He carries a lot of value on our football team. It’s important for us to continue to create opportunities for him.” #Steelers #NFL
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Info & trailers for the #Monsterdon poll options
Eternal voting is the price of not watching Price
Village of the Damned (1960)
Scifi horror by Wolf Rilla, with George Sanders, Barabra Shelley & Michael Gwynne.
After a strange incident, every woman in a village gives birth to a cohort of very unusual children
The Howling III (1987)
Comedy-horror by Philippe Mora with Barry Otto, Imogen Annesley & Max Fairchild
Human-like marsupials appear suddenly in Australia & a sociologist who studies them falls in love with one
Monster on the Campus (1958)
Sci-fi horror by Jack Arnold, with Arthur Franz, Joanna Cook Moore & Whit Bissell
A professor comes into contact with the irradiated blood of a coelacanth, which causes him to "regress" to being a primitive caveman
Demons (1985)
Horror by Lamberto Bava, with Urbano Barberini & Natasha Hovey
People are trapped in a cinema infested with ravenous demons who proceed to kill & possess them one-by-one
The Visitor (1979)
Sci-fi horror by Giulio Paradisi, with Mel Ferrer, Glenn Ford, Lance Henriksen, Joanne Nail, John Huston, Sam Peckinpah & Shelley Winters
A battle between cosmic forces over the soul of a young girl with telekinetic abilities
Cellar Dweller (1988)
Monster horror by John Carl Buechler, with Debrah Farentino, Yvonne De Carlo & Jeffrey Combs
A comic book artist is doomed to repeat history in a most grotesque way when she unleashes a demon after drawing it
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Treetop Watcher
I spotted this bird high in the top of a distant tree while on safari in my backyard yesterday (25 October 2026). The species is a little difficult to make out from this angle, especially with the bird partially obscured by the branches. Still, there is something familiar about its posture that practically screams "woodpecker." I'm fairly certain it's a yellow-bellied sapsucker (Sphyrapicus varius), a species that managed to elude me all last year.
Explore more chic woodpecker photos by visiting my photo gallery.
https://swede1952-photographs.pixels.com
#photo #photography #photographer #photographylovers #wildlife #nature #bird #birds #birding #birdwatching #birdphotography #woodpeckers #YellowBelliedSapsucker
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Thème "51". Avec mon nouveau crayon violet en bois d’arbre du Jura, j’ai essayé de reproduire dans mon #carnet le logo du 51ème département français : la Marne. C’est aussi le nom d’une rivière qui se jette dans la Seine. C’est un département surtout connu pour le Champagne.
J’ai mis du temps à comprendre ce logo étrange. Faire un M (comme Marne, donc) avec le nombre 51, et que ce soit beau, n’est pas évident…
#51 #Marne #logo
#MesExplorations #sketch #kleinekunstklasse #mastoart #dtiys #peace -
Those Who Are Loved, by Victoria Hislop: #BookReview.
Set in Greece during a period beginning in the 1930s, this novel looks at the political, social, and military history of this popular holiday destination through the eyes of an extraordinary Greek woman called Themis.
We begin shortly after her birth and follow her through life as she learns about family, love, politics, and the brutality of fanatics on both sides of the political divide.
I started to read this book whilst holidaying in Crete. It was one of a number of books left by guests at the hotel in which I stayed. I’d finished the three books I’d taken to read and left those there. It felt like a fair swap for me to bring this one home with me: at 480 pages, it was a long read!
I’d read ‘The Island’ by Victoria Hislop some years ago. A book set on Crete, dealing with the history of the Leper Colony established on the small island of Spinalonga, just off the northeast coast of Mirabello Bay in the east of Crete. That book was well written, persuading me the one I’d acquired would be worth reading.
It was!
This is not an easy or comfortable read. It looks at the conflict between the Greek Communists and their Fascistic right-wing opponents and at the military juntas who took over the country for a while. None of these rulers comes out with credit. The author’s research has informed her of the excesses, the violence, the prejudices, the extremes posed by all these rulers on a land that was born into and invented democracy and was then almost destroyed by its lack.
Themis is initially an innocent, naïve and bullied by her older sister and wishing to be friends with both her right-wing and her left-wing brothers. The youngest child in the family, and a girl, she is rarely taken seriously in her early years, other than by the grandmother who takes care of the family when the mother is institutionalised and the sailor father is mostly absent.
I won’t tell you the rest of the story. But Themis illustrates the very real difficulties faced by anyone who is honest and caring when they live under those different forms of dictatorship. Her life is rarely easy and, at times, her subjugation to terror and cruelty is difficult to bear for the reader. But her courage and determination to do what is right forces the reader to continue her story through to the very end, which is, I’m pleased to record, a positive one.
You will find so much love here, so much fear, so much bullying by so-called leaders, so much cruelty caused by a mixture of ignorance, intolerance, and simple fear of reprisals.
I stopped reading it before bedtime, as much of the story could lead to nightmares. But I’m very pleased I read the book. I’ve learned a good deal about the role of superstition, tradition, ignorance, and the abuse of power on a people who simply want to live normal lives of love and family. And I now feel I understand much about the history of Greece during the period covered by the narrative.
It’s a very well written account, full of insight, understanding and compassion from a writer who manages to occupy the minds and hearts of all her various protagonists and antagonists. If you get the chance, read it. You will leave the book all the better able to understand much about Greece and its extraordinary people.Rate This
#Author #BookReview #Books #CreativeWriting #Fiction #Novels -
Ugh. Channel 4 streaming is getting bad with adverts. I used to watch the Formula 1 and some ad breaks would just be the show branding, 20 seconds on a Channel 4 show and, and then the branding and done.
Now I'm getting five four-minute unskippable ad sessions in a ~1h show 😑
(And that's *with* the PiHole running (fairly) standard rules.
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33.Les merveilles de Mercurian
26Avril 2300 Chères toutes et chers tous. Comment allez-vous aujourd’hui ? « Mercure mon amour, demain nous ne serons plus ensemble ». Eh oui. Toutes les bonnes choses prennent fin, mais toutes les bonnes choses ont un commencement aussi. Ces derniers jours nous avons arrêté de faire les crêpes au bord de l’eau. Il y a trois choses à absolument visiter ici : un four, le musée d’histoire de l’art et le cimetière de Bach. Le Moma local se situait dans la […]https://www.elekis.net/2026/10/26/33-les-merveilles-de-mercurian/
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"Anti-Zionism: A Jewish History" is a new book by Benjamin Moser. In it, the Pulitzer prize-winning author profiles a dozen Jews who actively opposed Zionism, before and after the establishment of #Israel.
Along the way, he seeks to dismantle the Zionist “fairytale,” as he puts it, piece by piece. And he largely succeeds.
Review by Aaron Gell in #TheGuardian: https://www.theguardian.com/world/2026/oct/25/benjamin-moser-jewish-anti-zionism-book
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Ich habe mir heute Morgen beim Duschen Gedanken über die #Zeitumstellung gemacht, und ich bin zu dem Schluss gekommen, dass ich nur eine einzige Form der Zeitumstellung akzeptieren kann:
Wir stellen jeden Montag Morgen die Uhr um eine Stunde vor, und Freitag Abends wieder eine Stunde zurück.
klingt fair, oder?
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I use all three BSDs. I got into it because I was looking for something more unixy, and I was aggravated by the constant, pointless churn of things in Linux: systemd taking over all of userspace, things I'd used for decades becoming deprecated either because someone didn't feel like maintaining it anymore, or because someone else felt like reinventing the wheel was more fun, the absolute dearth of documentation (becuase it's such a moving target), etc.
I still use Linux on about half of my machines, and the three major BSDs on one each of the rest.
#OpenBSD is probably the best starting point for learning #BSD (and #unix), although #FreeBSD (which I'm running on this laptop here) has the most features and is the most Linux-ish. #NetBSD is probably the most pure, unix-wise, and has the advantage of being a fairly anti-AI OS project.
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Cincinnati, OH 45214
Overview The southern portion of Camp Washington within Cincinnati is predominantly residential, with just a few local establishments such as Cousin Jeffrey’s Honky Tonk in the area. The broader West End is home to local art galleries such as Artonomy and the Solway Gallery. West across Mill Creek in the South Fairmount neighborhood is predominantly residential overall.https://novatopflex.wordpress.com/2026/10/26/cincinnati-oh-45214/
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Paul-Gerhardt-Laden am Schützenplatz: Neues Programm von Oktober 2026 bis März 2027: Gemeinsam Kaffee trinken, spazierengehen oder backen, ein warmes Mittagessen, Bewegung und gute Laune, Kindertafel, Sprechcafé, LernRaum, Fairteiler, Bücherteiler und vieles mehr: Bis das Paul-Gerhardt-Haus in der Bunsenstraße umgebaut ist, heißt es im ehemaligen Naturkostladen Godehus, [...]
Der Beitrag Paul-Gerhardt-Laden am… https://luene-blog.de/paul-gerhardt-laden-schuetzenplatz-wochenplan-oktober-2026-maerz-2027/?utm_source=dlvr.it&utm_medium=mastodon #Engagement #Kultur #Lüneburg #Bildung #Hanseviertel
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"And the strongest meanest men got the best stuff, they got the green valleys and were like 'the rest of you, ya'll scratch get sand!' And that's when they made the laws you see. Once the strong guys got it how they liked it: they said 'this is fair now! This is the law!' once they were winning they changed the rules up." - Adventure Time
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Yooooo ! 👋✨
Merci Simone, Le Podcast débarque ici ! 🎙️🔥
Ici on parle d'#avortement, d'#IVG, d'#IMG, les femmes viennent raconter leurs histoires pour que celles qui passent ou passeront par là ce sentent moins seules.
Nous sommes 1 sur 3 à avorter en France et pourtant tellement invisibilisées !
Pour écouter : https://feeds.acast.com/public/shows/merci-simone
Partagez à fond pour faire connaître Merci Simone ! 💜
#MerciSimone #Introduction #Podcast #Féminisme #Politique #JusticeSociale #IVG #NouvelleIci #FR
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There's _very_ few options for 200mm ARGB fans in the UK. But I just replaced one of the two front fans on my wife's PC because it was starting to grind.
And now there's three annoying things:
1) I didn't think about fan depth (they're normally fairly consistent!) and it's deeper and so the case front won't fully attach 😑
2) They're now two different brands (because there was only one left in stock) and so the lights aren't in sync yet 😐
3) I had to swap over extra cables because I'd previously connected the old fan to fan power 1 and ARGB 2 on the splitter board! Not that it makes a difference when they're both front fans and you're not syncing speed to colour or anything, but it was still Mixed Up And Wrong™! 😬 -
Apple pushing creator studio everywhere inside pages, numbers and (whatever the slides one is called) is so annoying I’ve uninstalled the suite.
If there’s a filter to hide all the premium features and just let me use the software I’d love to know.
Most annoying is I’ve actually paid for these apps once upon a time.
It’s a strange direction imo since so many companies offer apps and document storage for free. At least make it added value to my Apple One subscription? Then when they bump its price it seems fairer.