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Javier E

Reality is your brain's best guess - Big Think - 0 views

  • Andy Clark admits it’s strange that he took up “predictive processing,” an ambitious leading theory of how the brain works. A philosopher of mind at the University of Sussex, he has devoted his career to how thinking doesn’t occur just between the ears—that it flows through our bodies, tools, and environments. “The external world is functioning as part of our cognitive machinery
  • But 15 years ago, he realized that had to come back to the center of the system: the brain. And he found that predictive processing provided the essential links among the brain, body, and world.
  • There’s a traditional view that goes back at least to Descartes that perception was about the imprinting of the outside world onto the sense organs. In 20th-century artificial intelligence and neuroscience, vision was a feed-forward process in which you took in pixel-level information, refined it into a two and a half–dimensional sketch, and then refined that into a full world model.
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  • a new book, The Experience Machine: How Our Minds Predict and Shape Reality, which is remarkable for how it connects the high-level concepts to everyday examples of how our brains make predictions, how that process can lead us astray, and what we can do about it.
  • being driven to stay within your own viability envelope is crucial to the kind of intelligence that we know about—the kind of intelligence that we are
  • If you ask what is a predictive brain for, the answer has to be: staying alive. Predictive brains are a way of staying within your viability envelope as an embodied biological organism: getting food when you need it, getting water when you need it.
  • in predictive processing, perception is structured around prediction. Perception is about the brain having a guess at what’s most likely to be out there and then using sensory information to refine the guess.
  • artificial curiosity. Predictive-processing systems automatically have that. They’re set up so that they predict the conditions of their own survival, and they’re always trying to get rid of prediction errors. But if they’ve solved all their practical problems and they’ve got nothing else to do, then they’ll just explore. Getting rid of any error is going to be a good thing for them. If you’re a creature like that, you’re going to be a really good learning system. You’re going to love to inhabit the environments that you can learn most from, where the problems are not too simple, not too hard, but just right.
  • It’s an effect that you also see in Marieke Jepma et al.’s work on pain. They showed that if you predict intense pain, the signal that you get will be interpreted as more painful than it would otherwise be, and vice versa. Then they asked why you don’t correct your misimpression. If it’s my expectation that is making it feel more painful, why don’t I get prediction errors that correct it?
  • The reason is that there are no errors. You’re expecting a certain level of pain, and your prediction helps bring that level about; there is nothing for you to correct. In fact, you’ve got confirmation of your own prediction. So it can be a vicious circle
  • Do you think this self-fulfilling loop in psychosis and pain perception helps to account for misinformation in our society’s and people’s susceptibility to certain narratives?Absolutely. We all have these vulnerabilities and self-fulfilling cycles. We look at the places that tend to support the models that we already have, because that’s often how we judge whether the information is good or not
  • Given that we know we’re vulnerable to self-fulfilling information loops, how can we make sure we don’t get locked into a belief?Unfortunately, it’s really difficult. The most potent intervention is to remind ourselves that we sample the world in ways that are guided by the models that we’ve currently got. The structures of science are there to push back against our natural tendency to cherry-pick.
peterconnelly

Debunking 3 Viral Rumors About the Texas Shooting - The New York Times - 0 views

  • Here are three of the most prominent rumors that have spread on online platforms such as Twitter, Gab, 4chan and Reddit.
  • Among their unfounded claims were that the shooting had been orchestrated to draw local law enforcement away from the border, allowing criminals and drugs to cross into the United States, and that gun-control advocates had organized the tragedy to stoke public outrage.
  • he conspiracy theorist and broadcaster Alex Jones of Infowars has lied for years that the 2012 massacre at Sandy Hook Elementary School in Newtown, Conn., was staged by the federal government, with people pretending to be survivors and victims’ parents. Last year, Mr. Jones lost four defamation lawsuits filed by victims’ families, many of whom have been harassed by his believers.
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  • Hours after the attack, a post on the fringe online message board 4chan circulated claiming that the gunman was transgender.
  • where people falsely claimed that the shooting was a result of hormone therapy undertaken by the gunman.
  • “There is an overwhelming number of individuals who are posting images of this person, who was the shooter, and information about the nature of them being transgender,”
  • On Tuesday, a transgender artist said on Reddit that people online “just took my photos and used it to spread misinformation.”
  • False claims that the gunman was born outside the United States began to circulate within hours of the shooting. Spread largely on white nationalist Telegram channels and Gab accounts, the claims alleged that he was an undocumented immigrant in the United States, even after authorities including Roland Gutierrez, a Texas state senator, confirmed that the gunman was born in North Dakota.
  • “Did he cross the border illegally?” Code of Vets, a veterans organization, posted on Twitter. “Our nation has a serious national security crisis evolving.”
peterconnelly

Why You Need To Beat Confirmation Bias To Win Your Customers - 0 views

  • Confirmation bias is the tendency to interpret information in a way that is always consistent with existing beliefs. Simply, it occurs when someone views information in a positive, affirming light, even though the information could be telling a drastically different story.
  • While confirmation bias can often be chalked up to human nature, in a business setting, failure to adequately evaluate and respond to information can be a legitimate issue for a company, and particularly its marketing team.
  • This is where confirmation bias can be dangerous because it’s easy for brands to assume customers view the company through the same lens they do and have a similar opinion of the company, but this isn’t necessarily true.
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  • To beat confirmation bias, it’s vital for brands to face reality when measuring the success of their campaigns and gauging customer brand perception.
  • As a marketer, it can be easy to fall victim to simply measuring customer behavioural data (like click-through rates, ad engagement, unsubscribes, etc.). However, the best marketing teams lean on an outside-in perspective to improve customer experiences and create a better brand reputation.
  • Additionally, marketing teams would be wise to connect with potential customers who did not convert. They will be most able to point out the pain points in a marketing campaign that are dissuading buyers. It’s just as important to ask consumers why they didn’t interact with a brand as it is to ask why they do.
  • Obtaining these insights allows marketers to gauge specifics into how their competitors are beating them out, and conversely, how they can improve their product and boost customer retention.
  • At the end of the day, customers want to know that their feedback is valued and has the power to drive change. Companies that choose to neglect customer feedback are prime examples of the dangers of confirmation bias.
  • It doesn’t matter how marketing teams or their company define success, it’s up to the customer.
  • For example, in industries like video tech and security, where the community is extremely tight knit, marketing teams must have a deep understanding of their audience’s business needs to have any chance of selling to them. Brands that understand consumer perception and needs, will be able to personalize messages to their target audience and create a more positive customer experience. By gauging and adapting to direct feedback, marketing teams can avoid the dangers of confirmation bias, and make wholesale changes that will turn customers into brand champions.
peterconnelly

Twitter launches a crisis misinformation policy - CNN - 0 views

  • Washington (CNN Business)Twitter will now apply warning labels to — and cease recommending — claims that outside experts have identified as misinformation during fast-moving times of crisis, the social media company said Thursday.
  • The platform's new crisis misinformation policy is designed to slow the spread of viral falsehoods during natural disasters, armed conflict and public health emergencies, the company announced.
  • "To determine whether claims are misleading, we require verification from multiple credible, publicly available sources, including evidence from conflict monitoring groups, humanitarian organizations, open-source investigators, journalists, and more," Twitter's head of safety and integrity, Yoel Roth, wrote in a blog post.
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  • It also comes amid an ongoing, global battle over the future of platform moderation, with officials in Europe seeking to heighten standards surrounding tech companies' content decision-making and lawmakers in many US states seeking to force platforms to moderate less.
marvelgr

THE BASES OF THE MIND:THE RELATIONSHIP OF LANGUAGE AND THOUGHT | by Koç Unive... - 0 views

  • We can talk about three different interactions when we investigate the complex relationships between language and thinking. First, the existence of language as a cognitive process affects the system of thinking. Second, thinking comes before language, and the learning of a language interacts with the conceptual process that is formed before language use. Third, each language spoken may affect the system of thinking. Here we will discuss these three interactions under these subsections: “thinking without language,” “thinking before language,” and “thinking with language.”
  • Babies can categorize objects and actions, understand the cause and effect relationship between events, and see the goals in a movement. Recent studies on action representation and spatial concepts have shown that babies’ universal and language-general action representation productively changes with the learning of the mother tongue. For example, languages use prepositions to express the relationship between objects, i.e., in, on, under. However, languages also vary how they use these relations. One of the most significant studies suggests that babies can differentiate between concepts expressed with prepositions such as containment (in) and support (on). The Korean language specifies the nature of these containment and support relationships using the tightness of the relationship between objects: tight or loose. For example, a pencil in a pencil-size box represents a tight relationship, while a pencil in a big basket represents a loose relationship.
  • In the late 1800s, anthropologist Franz Boas laid the foundations of cultural relativity. According to this point of view, individuals see and perceive the world within the boundaries of their cultures. The role of anthropology is to investigate how people are conditioned by their culture and how they interact with the world in different ways. To understand such mechanisms, it suggests, implications in culture and language should be studied. The reflection of this view in the relationship between language and thought is the linguistic determinism hypothesis advanced by Eric Safir and Benjamin Lee Whorf. This hypothesis suggests that thought emerges only with the effect of language and concepts that are believed to exist even in infancy fade away due to the language learned.
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  • In conclusion, there is a nested relationship between language and thought. In the interaction processes mentioned above, the role of language changes. Even though the limits of our language are different from the limits of our thinking, it is inevitable that people prioritize concepts in their languages. This, however, does not mean that they cannot comprehend or think about concepts that do not exist in their language.
criscimagnael

'I don't even remember what I read': People enter a 'dissociative state' when using soc... - 0 views

  • “I think people experience a lot of shame around social media use,” said lead author Amanda Baughan, a UW doctoral student in the Paul G. Allen School of Computer Science & Engineering. “One of the things I like about this framing of ‘dissociation’ rather than ‘addiction’ is that it changes the narrative. Instead of: ‘I should be able to have more self-control,’ it’s more like: ‘We all naturally dissociate in many ways throughout our day – whether it’s daydreaming or scrolling through Instagram, we stop paying attention to what’s happening around us.'”
  • “Having a stop built into a list meant that it was only going to be a few minutes of reading and then, if they wanted to really go crazy, they could read another list. But again, it’s only a few minutes. Having that bite-sized piece of content to consume was something that really resonated.”
  • Over the course of the month, 42% of participants (18 people) agreed or strongly agreed with that statement at least once. After the month, the researchers did in-depth interviews with 11 participants. Seven described experiencing dissociation while using Chirp.
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  • “But people only realize that they’ve dissociated in hindsight. So once you exit dissociation there’s sometimes this feeling of: How did I get here? It’s like when people on social media realize: ‘Oh my gosh, how did 30 minutes go by? I just meant to check one notification.'”
  • The problem with social media platforms, the researchers said, is not that people lack the self-control needed to not get sucked in, but instead that the platforms themselves are not designed to maximize what people value.
  • These platforms need to create an end-of-use experience, so that people can have it fit in their day with their time-management goals.”
Javier E

Pupils at elite Welsh school to get lessons in climate change - 0 views

  • For the first time in 50 years, the directors of the IB are collaborating with schools to create an updated version of the qualification taken by 16 to 19-year-olds as an alternative to A-levels
  • A cohort of 20 pupils at UWC will drop a third of the traditional subjects usually studied within the IB. Instead they will spend 300 hours, over two years of study, on the new areas. Forms of assessment have yet to be finalised but there will be no exams on these subjects.
  • Learning will be project-based, collaborative and designed to tackle “multiple global crises” around the world. IB says it is creating the new qualification because there is a growing disconnect between the education children are receiving and the education they need.
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  • Olli-Pekka Heinonen, director-general of the IB, told The Times that teenagers taking the new diploma would be “uniquely empowered” on leaving school.
  • Traditional assessment often led to pupils forgetting what they had learnt once exams were over, he said. “The aim of this type of assessment is to strengthen deep learning and understanding, something you learn that stays with you and is part of you. We’re experimenting with non-exam assessment and finding the best ways to evaluate.
  • “Biodiversity, food, migration and energy are meaningful and attractive to young people. They’re appealing and relevant.“We’re looking at these areas through the lens of systems leadership — ie, how it’s possible to make change happen.”
  • The school hosts pupils from 80 different countries and charges fees of £37,000 a year. It is set in St Donat’s Castle, in 122 acres and its grounds include woodland, farmland, a valley and its own seafront.
  • Naheed Bardai, principal of UWC Atlantic, said he felt dissatisfied with the state of education in the world today as pupils should be prepared to become leaders of organisations and government in the 2040s and 2050s.
  • He said the new qualification would help them understand the root causes of problems but also become compassionate world leaders that can create “transformative solutions”.
  • “Our core policies are peace, sustainability and experiential learning but there’s very little education for young people at the intersection of problems, particularly where the human meets the natural world,”
  • We need people who can take constructive action as inequality is growing at a tremendous rate.”
  • Bardai said the school had been given a free hand in curriculum writing and was looking at more radical forms of assessment. This may include interviews, peer assessment and portfolios.
Javier E

Netanyahu's Dark Worldview - The Atlantic - 0 views

  • as Netanyahu soon made clear, when it comes to AI, he believes that bad outcomes are the likely outcomes. The Israeli leader interrogated OpenAI’s Brockman about the impact of his company’s creations on the job market. By replacing more and more workers, Netanyahu argued, AI threatens to “cannibalize a lot more jobs than you create,” leaving many people adrift and unable to contribute to the economy. When Brockman suggested that AI could usher in a world where people would not have to work, Netanyahu countered that the benefits of the technology were unlikely to accrue to most people, because the data, computational power, and engineering talent required for AI are concentrated in a few countries.
  • “You have these trillion-dollar [AI] companies that are produced overnight, and they concentrate enormous wealth and power with a smaller and smaller number of people,” the Israeli leader said, noting that even a free-market evangelist like himself was unsettled by such monopolization. “That will create a bigger and bigger distance between the haves and the have-nots, and that’s another thing that causes tremendous instability in our world. And I don’t know if you have an idea of how you overcome that?”
  • The other panelists did not. Brockman briefly pivoted to talk about OpenAI’s Israeli employees before saying, “The world we should shoot for is one where all the boats are rising.” But other than mentioning the possibility of a universal basic income for people living in an AI-saturated society, Brockman agreed that “creative solutions” to this problem were needed—without providing any.
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  • The AI boosters emphasized the incredible potential of their innovation, and Netanyahu raised practical objections to their enthusiasm. They cited futurists such as Ray Kurzweil to paint a bright picture of a post-AI world; Netanyahu cited the Bible and the medieval Jewish philosopher Maimonides to caution against upending human institutions and subordinating our existence to machines.
  • Musk matter-of-factly explained that the “very positive scenario of AI” is “actually in a lot of ways a description of heaven,” where “you can have whatever you want, you don’t need to work, you have no obligations, any illness you have can be cured,” and death is “a choice.” Netanyahu incredulously retorted, “You want this world?”
  • By the time the panel began to wind down, the Israeli leader had seemingly made up his mind. “This is like having nuclear technology in the Stone Age,” he said. “The pace of development [is] outpacing what solutions we need to put in place to maximize the benefits and limit the risks.”
  • Netanyahu was a naysayer about the Arab Spring, unwilling to join the rapturous ranks of hopeful politicians, activists, and democracy advocates. But he was also right.
  • This was less because he is a prophet and more because he is a pessimist. When it comes to grandiose predictions about a better tomorrow—whether through peace with the Palestinians, a nuclear deal with Iran, or the advent of artificial intelligence—Netanyahu always bets against. Informed by a dark reading of Jewish history, he is a cynic about human nature and a skeptic of human progress.
  • fter all, no matter how far civilization has advanced, it has always found ways to persecute the powerless, most notably, in his mind, the Jews. For Netanyahu, the arc of history is long, and it bends toward whoever is bending it.
  • This is why the Israeli leader puts little stock in utopian promises, whether they are made by progressive internationalists or Silicon Valley futurists, and places his trust in hard power instead
  • “The weak crumble, are slaughtered and are erased from history while the strong, for good or for ill, survive. The strong are respected, and alliances are made with the strong, and in the end peace is made with the strong.”
  • To his many critics, myself included, Netanyahu’s refusal to envision a different future makes him a “creature of the bunker,” perpetually governed by fear. Although his pessimism may sometimes be vindicated, it also holds his country hostag
  • In other words, the same cynicism that drives Netanyahu’s reactionary politics is the thing that makes him an astute interrogator of AI and its promoters. Just as he doesn’t trust others not to use their power to endanger Jews, he doesn’t trust AI companies or AI itself to police its rapidly growing capabilities.
Javier E

Book Review: 'The Maniac,' by Benjamín Labatut - The New York Times - 0 views

  • it quickly becomes clear that what “The Maniac” is really trying to get a lock on is our current age of digital-informational mastery and subjection
  • When von Neumann proclaims that, thanks to his computational advances, “all processes that are stable we shall predict” and “all processes that are unstable we shall control,” we’re being prompted to reflect on today’s ubiquitous predictive-slash-determinative algorithms.
  • When he publishes a paper about the feasibility of a self-reproducing machine — “you need to have a mechanism, not only of copying a being, but of copying the instructions that specify that being” — few contemporary readers will fail to home straight in on the fraught subject of A.I.
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  • Haunting von Neumann’s thought experiment is the specter of a construct that, in its very internal perfection, lacks the element that would account for itself as a construct. “If someone succeeded in creating a formal system of axioms that was free of all internal paradoxes and contradictions,” another of von Neumann’s interlocutors, the logician Kurt Gödel, explains, “it would always be incomplete, because it would contain truths and statements that — while being undeniably true — could never be proven within the laws of that system.”
  • its deeper (and, for me, more compelling) theme: the relation between reason and madness.
  • Almost all the scientists populating the book are mad, their desire “to understand, to grasp the core of things” invariably wedded to “an uncontrollable mania”; even their scrupulously observed reason, their mode of logic elevated to religion, is framed as a form of madness. Von Neumann’s response to the detonation of the Trinity bomb, the world’s first nuclear explosion, is “so utterly rational that it bordered on the psychopathic,” his second wife, Klara Dan, muses
  • fanaticism, in the 1930s, “was the norm … even among us mathematicians.”
  • Pondering Gödel’s own descent into mania, the physicist Eugene Wigner claims that “paranoia is logic run amok.” If you’ve convinced yourself that there’s a reason for everything, “it’s a small step to begin to see hidden machinations and agents operating to manipulate the most common, everyday occurrences.”
  • the game theory-derived system of mutually assured destruction he devises in its wake is “perfectly rational insanity,” according to its co-founder Oskar Morgenstern.
  • Labatut has Morgenstern end his MAD deliberations by pointing out that humans are not perfect poker players. They are irrational, a fact that, while instigating “the ungovernable chaos that we see all around us,” is also the “mercy” that saves us, “a strange angel that protects us from the mad dreams of reason.”
  • But does von Neumann really deserve the title “Father of Computers,” granted him here by his first wife, Mariette Kovesi? Doesn’t Ada Lovelace have a prior claim as their mother? Feynman’s description of the Trinity bomb as “a little Frankenstein monster” should remind us that it was Mary Shelley, not von Neumann and his coterie, who first grasped the monumental stakes of modeling the total code of life, its own instructions for self-replication, and that it was Rosalind Franklin — working alongside, not under, Maurice Wilkins — who first carried out this modeling.
  • he at least grants his women broader, more incisive wisdom. Ehrenfest’s lover Nelly Posthumus Meyjes delivers a persuasive lecture on the Pythagorean myth of the irrational, suggesting that while scientists would never accept the fact that “nature cannot be cognized as a whole,” artists, by contrast, “had already fully embraced it.”
Javier E

The Age of Social Media Is Ending - The Atlantic - 0 views

  • Slowly and without fanfare, around the end of the aughts, social media took its place. The change was almost invisible, but it had enormous consequences. Instead of facilitating the modest use of existing connections—largely for offline life (to organize a birthday party, say)—social software turned those connections into a latent broadcast channel. All at once, billions of people saw themselves as celebrities, pundits, and tastemakers.
  • A global broadcast network where anyone can say anything to anyone else as often as possible, and where such people have come to think they deserve such a capacity, or even that withholding it amounts to censorship or suppression—that’s just a terrible idea from the outset. And it’s a terrible idea that is entirely and completely bound up with the concept of social media itself: systems erected and used exclusively to deliver an endless stream of content.
  • “social media,” a name so familiar that it has ceased to bear meaning. But two decades ago, that term didn’t exist
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  • a “web 2.0” revolution in “user-generated content,” offering easy-to-use, easily adopted tools on websites and then mobile apps. They were built for creating and sharing “content,”
  • As the original name suggested, social networking involved connecting, not publishing. By connecting your personal network of trusted contacts (or “strong ties,” as sociologists call them) to others’ such networks (via “weak ties”), you could surface a larger network of trusted contacts
  • The whole idea of social networks was networking: building or deepening relationships, mostly with people you knew. How and why that deepening happened was largely left to the users to decide.
  • That changed when social networking became social media around 2009, between the introduction of the smartphone and the launch of Instagram. Instead of connection—forging latent ties to people and organizations we would mostly ignore—social media offered platforms through which people could publish content as widely as possible, well beyond their networks of immediate contacts.
  • Social media turned you, me, and everyone into broadcasters (if aspirational ones). The results have been disastrous but also highly pleasurable, not to mention massively profitable—a catastrophic combination.
  • A social network is an idle, inactive system—a Rolodex of contacts, a notebook of sales targets, a yearbook of possible soul mates. But social media is active—hyperactive, really—spewing material across those networks instead of leaving them alone until needed.
  • The authors propose social media as a system in which users participate in “information exchange.” The network, which had previously been used to establish and maintain relationships, becomes reinterpreted as a channel through which to broadcast.
  • The toxicity of social media makes it easy to forget how truly magical this innovation felt when it was new. From 2004 to 2009, you could join Facebook and everyone you’d ever known—including people you’d definitely lost track of—was right there, ready to connect or reconnect. The posts and photos I saw characterized my friends’ changing lives, not the conspiracy theories that their unhinged friends had shared with them
  • Twitter, which launched in 2006, was probably the first true social-media site, even if nobody called it that at the time. Instead of focusing on connecting people, the site amounted to a giant, asynchronous chat room for the world. Twitter was for talking to everyone—which is perhaps one of the reasons journalists have flocked to it
  • on Twitter, anything anybody posted could be seen instantly by anyone else. And furthermore, unlike posts on blogs or images on Flickr or videos on YouTube, tweets were short and low-effort, making it easy to post many of them a week or even a day.
  • soon enough, all social networks became social media first and foremost. When groups, pages, and the News Feed launched, Facebook began encouraging users to share content published by others in order to increase engagement on the service, rather than to provide updates to friends. LinkedIn launched a program to publish content across the platform, too. Twitter, already principally a publishing platform, added a dedicated “retweet” feature, making it far easier to spread content virally across user networks.
  • When we look back at this moment, social media had already arrived in spirit if not by name. RSS readers offered a feed of blog posts to catch up on, complete with unread counts. MySpace fused music and chatter; YouTube did it with video (“Broadcast Yourself”)
  • From being asked to review every product you buy to believing that every tweet or Instagram image warrants likes or comments or follows, social media produced a positively unhinged, sociopathic rendition of human sociality.
  • Other services arrived or evolved in this vein, among them Reddit, Snapchat, and WhatsApp, all far more popular than Twitter. Social networks, once latent routes for possible contact, became superhighways of constant content
  • Although you can connect the app to your contacts and follow specific users, on TikTok, you are more likely to simply plug into a continuous flow of video content that has oozed to the surface via algorithm.
  • In the social-networking era, the connections were essential, driving both content creation and consumption. But the social-media era seeks the thinnest, most soluble connections possible, just enough to allow the content to flow.
  • This is also why journalists became so dependent on Twitter: It’s a constant stream of sources, events, and reactions—a reporting automat, not to mention an outbound vector for media tastemakers to make tastes.
  • “influencer” became an aspirational role, especially for young people for whom Instagram fame seemed more achievable than traditional celebrity—or perhaps employment of any kind.
  • social-media operators discovered that the more emotionally charged the content, the better it spread across its users’ networks. Polarizing, offensive, or just plain fraudulent information was optimized for distribution. By the time the platforms realized and the public revolted, it was too late to turn off these feedback loops.
  • The ensuing disaster was multipar
  • Rounding up friends or business contacts into a pen in your online profile for possible future use was never a healthy way to understand social relationships.
  • when social networking evolved into social media, user expectations escalated. Driven by venture capitalists’ expectations and then Wall Street’s demands, the tech companies—Google and Facebook and all the rest—became addicted to massive scale
  • Social media showed that everyone has the potential to reach a massive audience at low cost and high gain—and that potential gave many people the impression that they deserve such an audience.
  • On social media, everyone believes that anyone to whom they have access owes them an audience: a writer who posted a take, a celebrity who announced a project, a pretty girl just trying to live her life, that anon who said something afflictive
  • When network connections become activated for any reason or no reason, then every connection seems worthy of traversing.
  • people just aren’t meant to talk to one another this much. They shouldn’t have that much to say, they shouldn’t expect to receive such a large audience for that expression, and they shouldn’t suppose a right to comment or rejoinder for every thought or notion either.
  • Facebook and all the rest enjoyed a massive rise in engagement and the associated data-driven advertising profits that the attention-driven content economy created. The same phenomenon also created the influencer economy, in which individual social-media users became valuable as channels for distributing marketing messages or product sponsorships by means of their posts’ real or imagined reach
  • That’s no surprise, I guess, given that the model was forged in the fires of Big Tech companies such as Facebook, where sociopathy is a design philosophy.
  • If change is possible, carrying it out will be difficult, because we have adapted our lives to conform to social media’s pleasures and torments. It’s seemingly as hard to give up on social media as it was to give up smoking en masse
  • Quitting that habit took decades of regulatory intervention, public-relations campaigning, social shaming, and aesthetic shifts. At a cultural level, we didn’t stop smoking just because the habit was unpleasant or uncool or even because it might kill us. We did so slowly and over time, by forcing social life to suffocate the practice. That process must now begin in earnest for social media.
  • Something may yet survive the fire that would burn it down: social networks, the services’ overlooked, molten core. It was never a terrible idea, at least, to use computers to connect to one another on occasion, for justified reasons, and in moderation
  • The problem came from doing so all the time, as a lifestyle, an aspiration, an obsession. The offer was always too good to be true, but it’s taken us two decades to realize the Faustian nature of the bargain.
  • when I first wrote about downscale, the ambition seemed necessary but impossible. It still feels unlikely—but perhaps newly plausible.
  • To win the soul of social life, we must learn to muzzle it again, across the globe, among billions of people. To speak less, to fewer people and less often–and for them to do the same to you, and everyone else as well
  • We cannot make social media good, because it is fundamentally bad, deep in its very structure. All we can do is hope that it withers away, and play our small part in helping abandon it.
Javier E

What Did Twitter Turn Us Into? - The Atlantic - 0 views

  • The bedlam of Twitter, fused with the brevity of its form, offers an interpretation of the virtual town square as a bustling, modernist city.
  • It’s easy to get stuck in a feedback loop: That which appears on Twitter is current (if not always true), and what’s current is meaningful, and what’s meaningful demands contending with. And so, matters that matter little or not at all gain traction by virtue of the fact that they found enough initial friction to start moving.
  • The platform is optimized to make the nonevent of its own exaggerated demise seem significant.
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  • the very existence of tweets about an event can make that event seem newsworthy—by virtue of having garnered tweets. This supposed newsworthiness can then result in literal news stories, written by journalists and based on inspiration or sourcing from tweets themselves, or it can entail the further spread of a tweet’s message by on-platform engagement, such as likes and quote tweets. Either way, the nature of Twitter is to assert the importance of tweets.
  • Tweets appear more meaningful when amplified, and when amplified they inspire more tweets in the same vein. A thing becomes “tweetworthy” when it spreads but then also justifies its value both on and beyond Twitter by virtue of having spread. This is the “famous for being famous” effect
  • This propensity is not unique to Twitter—all social media possesses it. But the frequency and quantity of posts on Twitter, along with their brevity, their focus on text, and their tendency to be vectors of news, official or not, make Twitter a particularly effective amplification house of mirrors
  • At least in theory. In practice, Twitter is more like an asylum, inmates screaming at everyone and no one in particular, histrionics displacing reason, posters posting at all costs because posting is all that is possible
  • Twitter shapes an epistemology for users under its thrall. What can be known, and how, becomes infected by what has, or can, be tweeted.
  • Producers of supposedly actual news see the world through tweet-colored glasses, by transforming tweets’ hypothetical status as news into published news—which produces more tweeting in turn.
  • For them, and others on this website, it has become an awful habit. Habits feel normal and even justified because they are familiar, not because they are righteous.
  • Twitter convinced us that it mattered, that it was the world’s news service, or a vector for hashtag activism, or a host for communities without voices, or a mouthpiece for the little gal or guy. It is those things, sometimes, for some of its users. But first, and mostly, it is a habit.
  • We never really tweeted to say something. We tweeted because Twitter offered a format for having something to say, over and over again. Just as the purpose of terrorism is terror, so the purpose of Twitter is tweeting.
Javier E

"Falsehood Flies, And Truth Comes Limping After It" - 0 views

  • “I traced a throughline: from Sandy Hook to Pizzagate to QAnon to Charlottesville and the coronavirus myths to the election lie that brought violence to the Capitol on January 6th,” she told Vox earlier this year. “I started to understand how individuals, for reasons of ideology or social status, tribalism, or for profit, were willing to reject established truths, and how once they’d done that, it was incredibly difficult to persuade them otherwise.”
  • She describes the 2012 mass shooting in Newtown, CT as “a foundational moment in the world of misinformation and disinformation that we now live in.”
  • the NYT’s Elizabeth Williamson about her book, Sandy Hook: An American Tragedy and the Battle for Truth, which was recently named one of the best books of 2022 by Publishers Weekly.
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  • “The struggle to defend objective truth against people who consciously choose to deny or distort it has become a fight to defend our society, and democracy itself.”
  • Jonathan Swift, it’s worth noting that he was not an optimist about “truth.”
  • By the time a lie is refuted, he wrote, “it is too late; the jest is over, and the tale has had its effect: like a man, who has thought of a good repartee, when the discourse is changed, or the company parted; or like a physician, who has found out an infallible medicine, after the patient is dead.'“
  • “Considering that natural disposition in many men to lie, and in multitudes to believe,” he wrote in 1710, “I have been perplexed what to do with that maxim so frequent in every body's mouth; that truth will at last prevail.
  • A recent Washington Post tally found that nearly 300 Republicans running for congressional and state offices are election deniers. That means, as a FiveThirtyEight analysis found, 60 percent of Americans will have at least one election denier on their ballot next week.
  • In a new USA Today/Suffolk University poll, 63 percent of Republicans say they worry “the election results could be manipulated.”
  • From the New York Times: When asked, six Trump-backed Republican nominees for governor and the Senate in midterm battlegrounds would not commit to accepting this year’s election results.
  • The big mistake people have made is in assuming this could blow up only in an extensive struggle in 2024 and perhaps involving Donald Trump. What seems entirely unanticipated, yet is extremely predictable, is that smaller skirmishes could break out all over the country this year.
  • Democrats have got themselves in a situation where the head of their party holds the most popular position on guns and crime—and yet they’re getting crushed on the issue because they’ve let GOP campaign ads, the right wing media ecosystem, and assorted progressive big city prosecutors shape the narrative on the issue rather than doing so themselves.
Javier E

Why The CHIPS and Science Act Is a Climate Bill - The Atlantic - 0 views

  • Over the next five years, the CHIPS Act will direct an estimated $67 billion, or roughly a quarter of its total funding, toward accelerating the growth of zero-carbon industries and conducting climate-relevant research, according to an analysis from RMI, a nonpartisan energy think tank based in Colorado.
  • That means that the CHIPS Act is one of the largest climate bills ever passed by Congress. It exceeds the total amount of money that the government spent on renewable-energy tax credits from 2005 to 2019
  • And it’s more than half the size of the climate spending in President Barack Obama’s 2009 stimulus bill. That’s all the more remarkable because the CHIPS Act was passed by large bipartisan majorities, with 41 Republicans and nearly all Democrats supporting it in the House and the Senate.
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  • When viewed with the Inflation Reduction Act, which the House is poised to pass later this week, and last year’s bipartisan infrastructure law, a major shift in congressional climate spending comes into focus. According to the RMI analysis, these three laws are set to more than triple the federal government’s average annual spending on climate and clean energy this decade, compared with the 2010s.
  • Within a few years, when the funding has fully ramped up, the government will spend roughly $80 billion a year on accelerating the development and deployment of zero-carbon energy and preparing for the impacts of climate change. That exceeds the GDP of about 120 of the 192 countries that have signed the Paris Agreement on Climate Change
  • By the end of the decade, the federal government will have spent more than $521 billion
  • the bill’s programs focus on the bleeding edge of the decarbonization problem, investing money in technology that should lower emissions in the 2030s and beyond.
  • The International Energy Association has estimated that almost half of global emissions reductions by 2050 will come from technologies that exist only as prototypes or demonstration projects today.
  • To get those technologies ready in time, we need to deploy those new ideas as fast as we can, then rapidly get them to commercial scale, Carey said. “What used to take two decades now needs to take six to 10 years.” That’s what the CHIPS Act is supposed to do
  • The law, for instance, establishes a new $20 billion Directorate for Technology, which will specialize in pushing new technologies from the prototype stage into the mass market. It is meant to prevent what happened with the solar industry—where America invented a new technology, only to lose out on commercializing it—from happening again
  • Congress has explicitly tasked the new office with studying “natural and anthropogenic disaster prevention or mitigation” as well as “advanced energy and industrial efficiency technologies,” including next-generation nuclear reactors.
  • The bill also directs about $12 billion in new research, development, and demonstration funding to the Department of Energy, according to RMI’s estimate. That includes doubling the budget for ARPA-E, the department’s advanced-energy-projects skunk works.
  • it allocates billions to upgrade facilities at the government’s in-house defense and energy research institutes, including the National Renewable Energy Laboratory, the Princeton Plasma Physics Laboratory, and Berkeley Lab, which conducts environmental-science research.
  • RMI’s estimate of the climate spending in the CHIPS bill should be understood as just that: an estimate. The bill text rarely specifies how much of its new funding should go to climate issues.
  • When you add CHIPS, the IRA, and the infrastructure law together, Washington appears to be unifying behind a new industrial policy, focused not only on semiconductors and defense technology but clean energy
  • The three bills combine to form a “a coordinated, strategic policy for accelerating the transition to the technologies that are going to define the 21st century,”
  • scholars and experts have speculated about whether industrial policy—the intentional use of law to nurture and grow certain industries—might make a comeback to help fight climate change. Industrial policy was central to some of the Green New Deal’s original pitch, and it has helped China develop a commanding lead in the global solar industry.
  • “Industrial policy,” he said, “is back.”
Javier E

How thinking hard makes the brain tired | The Economist - 0 views

  • Mental labour can also be exhausting. Even resisting that last glistening chocolate-chip cookie after a long day at a consuming desk job is difficult. Cognitive control, the umbrella term encompassing mental exertion, self-control and willpower, also fades with effort.
  • unlike the mechanism of physical fatigue, the cause of cognitive fatigue has been poorly understood.
  • It posits that exerting cognitive control uses up energy in the form of glucose. At the end of a day spent intensely cogitating, the brain is metaphorically running on fumes. The problem with this version of events is that the energy cost associated with thinking is minimal.
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  • To induce cognitive fatigue, a group of participants were asked to perform just over six hours of various tasks that involve thinking.
  • In other words, cognitive work results in chemical changes in the brain, which present behaviourally as fatigue. This, therefore, is a signal to stop working in order to restore balance to the brain.
  • a neurometabolic point of view. They hypothesise that cognitive fatigue results from an accumulation of a certain chemical in the region of the brain underpinning control. That substance, glutamate, is an excitatory neurotransmitter
  • Periodically, throughout the experiment, participants were asked to make decisions that could reveal their cognitive fatigue.
  • The time it takes for the pupil to subsequently dilate reflects the amount of mental exerted. The pupil-dilation times of participants assigned hard tasks fell off significantly as the experiment progressed.
  • During the experiment the scientists used a technique called magnetic-resonance spectroscopy to measure biochemical changes in the brain. In particular, they focused on the lateral prefrontal cortex, a region of the brain associated with cognitive control. If their hypothesis was to hold, there would be a measurable chemical difference between the brains of hard- and easy-task participants
  • Their analysis indicated higher concentrations of glutamate in the synapses of a hard-task participant’s lateral prefrontal cortex. Thus showing cognitive fatigue is associated with increased glutamate in the prefrontal cortex
  • There may well be ways to reduce the glutamate levels, and no doubt some researchers will now be looking at potions that might hack the brain in a way to artificially speed up its recovery from fatigue. Meanwhile, the best solution is the natural one: sleep
Javier E

When a Shitposter Runs a Social Media Platform - The Bulwark - 0 views

  • This is an unfortunate and pernicious pattern. Musk often refers to himself as moderate or independent, but he routinely treats far-right fringe figures as people worth taking seriously—and, more troublingly, as reliable sources of information.
  • By doing so, he boosts their messages: A message retweeted by or receiving a reply from Musk will potentially be seen by millions of people.
  • Also, people who pay for Musk’s Twitter Blue badges get a lift in the algorithm when they tweet or reply; because of the way Twitter Blue became a culture war front, its subscribers tend to skew to the righ
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  • The important thing to remember amid all this, and the thing that has changed the game when it comes to the free speech/content moderation conversation, is that Elon Musk himself loves conspiracy theorie
  • The media isn’t just unduly critical—a perennial sore spot for Musk—but “all news is to some degree propaganda,” meaning he won’t label actual state-affiliated propaganda outlets on his platform to distinguish their stories from those of the New York Times.
  • In his mind, they’re engaged in the same activity, so he strikes the faux-populist note that the people can decide for themselves what is true, regardless of objectively very different track records from different sources.
  • Musk’s “just asking questions” maneuver is a classic Trump tactic that enables him to advertise conspiracy theories while maintaining a sort of deniability.
  • At what point should we infer that he’s taking the concerns of someone like Loomer seriously not despite but because of her unhinged beliefs?
  • Musk’s skepticism seems largely to extend to criticism of the far-right, while his credulity for right-wing sources is boundless.
  • This is part of the argument for content moderation that limits the dispersal of bullshit: People simply don’t have the time, energy, or inclination to seek out the boring truth when stimulated by some online outrage.
  • Refuting bullshit requires some technological literacy, perhaps some policy knowledge, but most of all it requires time and a willingness to challenge your own prior beliefs, two things that are in precious short supply online.
  • Brandolini’s Law holds that the amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it.
  • Here we can return to the example of Loomer’s tweet. People did fact-check her, but it hardly matters: Following Musk’s reply, she ended up receiving over 5 million views, an exponentially larger online readership than is normal for her. In the attention economy, this counts as a major win. “Thank you so much for posting about this, @elonmusk!” she gushed in response to his reply. “I truly appreciate it.”
  • the problem isn’t limited to elevating Loomer. Musk had his own stock of misinformation to add to the pile. After interacting with her account, Musk followed up last Tuesday by tweeting out last week a 2021 Federalist article claiming that Facebook founder Mark Zuckerberg had “bought” the 2020 election, an allegation previously raised by Trump and others, and which Musk had also brought up during his recent interview with Tucker Carlson.
  • If Zuckerberg wanted to use his vast fortune to tip the election, it would have been vastly more efficient to create a super PAC with targeted get-out-the-vote operations and advertising. Notwithstanding legitimate criticisms one can make about Facebook’s effect on democracy, and whatever Zuckerberg’s motivations, you have to squint hard to see this as something other than a positive act addressing a real problem.
  • It’s worth mentioning that the refutations I’ve just sketched of the conspiratorial claims made by Loomer and Musk come out to around 1,200 words. The tweets they wrote, read by millions, consisted of fewer than a hundred words in total. That’s Brandolini’s Law in action—an illustration of why Musk’s cynical free-speech-over-all approach amounts to a policy in favor of disinformation and against democracy.
  • Moderation is a subject where Zuckerberg’s actions provide a valuable point of contrast with Musk. Through Facebook’s independent oversight board, which has the power to overturn the company’s own moderation decisions, Zuckerberg has at least made an effort to have credible outside actors inform how Facebook deals with moderation issues
  • Meanwhile, we are still waiting on the content moderation council that Elon Musk promised last October:
  • The problem is about to get bigger than unhinged conspiracy theorists occasionally receiving a profile-elevating reply from Musk. Twitter is the venue that Tucker Carlson, whom advertisers fled and Fox News fired after it agreed to pay $787 million to settle a lawsuit over its election lies, has chosen to make his comeback. Carlson and Musk are natural allies: They share an obsessive anti-wokeness, a conspiratorial mindset, and an unaccountable sense of grievance peculiar to rich, famous, and powerful men who have taken it upon themselves to rail against the “elites,” however idiosyncratically construed
  • f the rumors are true that Trump is planning to return to Twitter after an exclusivity agreement with Truth Social expires in June, Musk’s social platform might be on the verge of becoming a gigantic rec room for the populist right.
  • These days, Twitter increasingly feels like a neighborhood where the amiable guy-next-door is gone and you suspect his replacement has a meth lab in the basement.
  • even if Twitter’s increasingly broken information environment doesn’t sway the results, it is profoundly damaging to our democracy that so many people have lost faith in our electoral system. The sort of claims that Musk is toying with in his feed these days do not help. It is one thing for the owner of a major source of information to be indifferent to the content that gets posted to that platform. It is vastly worse for an owner to actively fan the flames of disinformation and doubt.
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