Showing posts with label Psychology. Show all posts
Showing posts with label Psychology. Show all posts

Monday, July 27, 2026

Should You Marry Her?

Weighing the costs against the benefits

Marriage is a contract: you promise not to break up with your partner even if you later end up wanting to, and they promise the same. A wedding is a contract enforcement mechanism: by standing up in front of your community and declaring that you won’t leave each other, you make it harder to back out later. If you break up for frivolous or fixable reasons, your community will judge you. If you go to your friends for advice about your relationship struggles, they’ll be more oriented toward helping you make it work and less likely to suggest you leave. Your acquaintances will be less likely to try to tempt you away from your spouse, partly because others in your community will think they’re shitty if they do.

The main benefit of marriage is investment. When both of you are much more confident that the other will stick around for the long haul, you are incentivized to make investments in a joint life that wouldn’t otherwise have been worth it. This could look like buying a house or having a kid, dividing labor like life admin and fixing things and cooking to make joint life more efficient, or putting in the work to understand each other better and meet each other’s needs better.
Beyond that, I’ve found the emotional security of commitment creates room for a more radical trust and love. You allow yourself to sink into each other and extend deep roots in each other’s souls.

The main cost, assuming you plan to get married eventually, is that you might have found someone better. So how do you decide whether to commit to your current partner? By popular request, I’ve made up a brief guide. While this advice is gender-neutral, women generally know what they want and are ready to commit sooner than men, so it’s addressed to the confused rat boys in my life.

Once your girlfriend is ready to get married, you have three basic choices at any given point in time:
  • Commit to her now: pay the cost of forgone options, get the benefit of investment.
  • Break up with her now: pay the cost of searching for someone new, get the benefit of a different (and hopefully better) marriage starting in a few years.
  • Wait and see: pay the cost of delaying the start of marriage (and thus the accumulation of investment benefits), get the benefit of more information to make a better decision.
The first question is how long you should wait and see. A rough model is that you learn one more unit of information about your compatibility with your partner from every doubling of the amount of time you spend with them. My husband and I dated for about ~2.5 years before getting engaged, and we spent maybe 15 hours a week actively hanging out together over that period. So we’d already spent ~2000 full-time-equivalent hours together, or ~11 doublings starting from our first hour. A fifty year marriage would have been ~40,000 more hours, only another ~4-5 doublings on top of what we had already experienced (and as I’ll discuss below our marriage will probably be a fair bit shorter than that).

In general, if you’ve been with someone for a couple of years already, there’s not much point hanging around longer generically waiting for more information. You should have some understanding of what exactly you’re hoping to learn in another six months, and pay attention to make sure you’re actually learning something about that.

The second question is how your girlfriend compares to other women you could marry. Your wife will fulfill three main roles in your life:
  • Cofounder: Your wife will build a life with you. At a minimum, you’ll handle household maintenance and life admin together. Beyond that, what exactly you build together will vary — my marriage has revolved around working together to have impact, many are oriented around raising children, some are about creating rich shared experiences — so what you need from a cofounder will vary. But broadly speaking, you’ll want to feel like she’s competent and on top of her shit, that she’s bringing a lot to the table and your skillsets complement each other well, and that you communicate well and resolve differences constructively.
  • Friend: You’ll hang out with your wife more than you hang out with any other person. You’ll want to be able to laugh easily together, have a lot to talk about with each other, and do things together that you both enjoy.
  • Lover: Your wife will be the primary outlet for your romantic and sexual drives. You’ll want to find her charming and hot, you’ll want to be in love with her.
You probably have more evidence lodged in your brain than you appreciate, and some focused and organized introspection can probably move you. For example:
  • For the cofounder role, how excited would you be to literally cofound an organization with your girlfriend? Would you be excited to hire her? Would you be excited to work for her? How would she stack up among people you’ve worked closely with? What would her manager and coworkers say about her? Do you trust the way she makes important decisions? Would you trust her advice about your important decisions? What does it feel like to make decisions together and divide up the tasks of life together? If something happens to you, like you get hit by a car or your parent has a stroke and needs a lot of care, does it feel like a relief that she’s around to take care of things? Do you have similar aspirations for the life you want to build and a plan to achieve it together — if you want kids, are you on the same page about how much work each of you is going to put into childcare and do you think she’d be a good mother?
  • For the friend role, how much would you hang out with your girlfriend if it had to just be platonic (where would she rank in the rotation of friends you see every now and then)? What interests and joys do you share? What are the points of connection that seem rarest and most precious? What are the interests and perspectives you don’t share with her that you really wish you did?
by Ajeya Cotra, Good Bones | Read more:
Image: Pride and Prejudice via

Sunday, July 26, 2026

Find the Cat

[ed. Supposedly an example of predictive coding, but I can't say. Took about 30 seconds (hint: it's not in the shadows). Answer here. See also: trapped priors.]

Saturday, July 25, 2026

Notes on Acquired Taste. Why Do We Make an Effort To Like Things?

  • In Susan Sontag’s Notes on '“Camp (1964) she writes (with, I think, a hint of camp):
“…these are grave matters. Most people think of sensibility or taste as the realm of purely subjective preferences [or] attractions…But this attitude is naïve. And even worse. To patronise the faculty of taste is to patronise oneself. For taste governs every free—as opposed to rote—human response. Nothing is more decisive.” (My emphasis). 
  • Sontag has an expansive concept of ‘taste’. She talks of taste in people, pictures, emotion, actions, morality. Even intelligence, she says, is “a kind of taste - taste in ideas”. I’m not certain how useful it is to stretch the concept this far - so far that it colonises intelligence and judgement and wisdom - but Sontag’s high regard for taste, her declaration of its central importance, feels very timely in 2026.
  • It has become almost a cliché to name “taste” as one of the last human advantages over the machines. AI is acquiring the skills to make slickly produced pictures and songs and books. But it isn’t yet very good at distinguishing the brilliant from the mediocre; the just right from the just OK.
  • It models what we like, which makes it hard to see how taste might change. Ask it to generate twenty songs or twenty jokes and pick the best, and it will pick the one that most closely resembles what the median person would deem good. It won’t pick the surprising, odd one - the one that is ‘wrong’ in a suggestive way. But that’s where the good ideas come from. Innovative culture emerges, like new species, from mutation; from interesting accidents that open up new possibilities.
  • It’s not as if humans don’t ‘model’ what came before them, often quite algorithmically. We have traditions, genres, chains of influence. We have plenty of human-made mediocrity - more than ever, thanks to our new assistants. But we also have an ability to adapt or reinvent the model; to put it to our own purposes.
  • Individual artists do this intuitively and almost randomly in the process of making. Writers learn to write (painters learn to paint etc) by imitating their predecessors. They learn to be original by getting the imitation wrong and noticing that they like the error. This is an act of taste; the free human response.
  • When he was stuck on a painting, Francis Bacon would throw a glob of paint at his canvas then work out how to incorporate the result. Artists make decisions and then try to understand why they might have made them. It’s the dialogue between gut and head that produces the work.
  • Taste is similarly post-rationalised, or back-propagated. You notice what you like or dislike and extract a rule from your response. Do this enough times and you build a powerful discrimination engine.
  • You also get good at knowing what goes with what. You learn to recognise the clichés of the category, which means you know how to subvert or overturn them. That’s why great artists are such voracious consumers of work from within and beyond their own field. Martin Scorsese has watched at least one film every night for most of his adult life. He watches and records and re-watches obsessively. When he donated his collection of VHS tapes to a university it consisted of 4,400 films, documentaries and TV shows.
  • It’s more than pattern recognition. The machines are pretty good at that, after all. Taste is connected to that other human moat - to our sense of purpose, of why we’re doing this in the first place. We’re still the ones who write the prompt - who decide what to create and what is beautiful, important, and valuable. The machine merely knows how to execute on our preferences.
  • It can model what we already like with astonishing facility but it can’t give us the next Shakespeare, or the next romanticism or modernism or punk or hip-hop. These new forms aren’t just statistical recombinations. They are born from anxiety, rage, envy, pain, ambition. How do you respond to the unprecedented mass violence and human waste of the Great War? Not by following pre-war cultural conventions.
  • New movements are also born from scenes - from humans in proximity to each other, everyone desiring this man’s art and that woman’s scope; ideas, emotions and bodies colliding.
  • These movements create the taste by which they’re consumed. “Impressionism” was a derisive nickname for paintings that most art lovers considered weird and sketchy. But the art was good enough to bend popular taste around it. Even more obviously difficult art, like Rothko or Pollock, now has an audience of millions. Some of those people like it immediately; others have acquired a taste for it.
  • I’m fascinated by the notion of acquired taste. Strictly speaking, it’s a redundancy. Nearly all tastes are acquired. Nobody is born with particular tastes in design or architecture. We gain a sense of what we like, or what we consider to be good, from our peers and predecessors.
  • But acquired taste does refer to a distinct phenomenon: the act of willing a preference into being. You didn’t like whisky the first time you drank it, but perhaps because your father liked it or because you were aware of its cultural prestige, you tried it again and again, striving to appreciate it. Then one day you didn’t have to try anymore. You just liked it.
  • This writer likens it to a magic eye picture: you stare at it for ages without seeing what you’re told is there, and then suddenly - there it is.
  • This is very different to stumbling upon something we immediately like, which is sometimes referred to as ‘discovered taste’. (Edmund Burke called it ‘natural relish’.) That kind of liking involves no work, no friction, no overcoming of resistance.
  • Some cultural objects lend themselves to discovered taste, others don’t. I can’t imagine anyone needing to acquire a taste for Ella Fitzgerald’s voice, but there are other great vocalists whose voices you must learn to like. The most frequently cited reason for not liking Bob Dylan is antipathy to his voice. But if you learn to appreciate the many incredible things he does with it, you will end up in a more intense relationship with it than with the voice of a more obviously palatable singer. Once you’re in on an acquired taste, you’re all in.
  • The same is true of whole genres. There are many pieces of classical music that are easy to like. You don’t have to listen to Mozart’s clarinet concerto more than once to be seduced by it. But as a whole and on average, it’s a genre that requires more effort to appreciate than pop. Once you find the key to its heavy oak door a vast and fabulous kingdom awaits. Your memory of the effort it took you to get there, and your awareness of all the people still outside the city walls enhance your appreciation. (That doesn’t mean you want people to remain outside - quite the opposite).
  • Difficulty doesn’t make the cultural object concerned better or worse than one that’s immediately likeable. But it does usually mean it’s more complex, and complexity is correlated, loosely and unreliably, with quality. Acquired taste involves the appreciation of subtle properties that don’t make themselves known on first listen or view or read.
  • Without appreciating what lies on the other side of the door, why do we ever make the effort to unlock it? Partly because we want what other people want. We might trust the taste of our father or girlfriend or teacher. Perhaps we want to please them, impress them, or feel closer to them. Perhaps we want the social cachet that goes along with this particular taste. To my mind, all of these reasons are perfectly good ones. If a taste is truly worth acquiring, any motivation will do.
  • It’s often seen as slightly embarrassing or shameful to acquire a taste through conscious effort. It’s for the try-hards and the social climbers. Liberal societies value spontaneity in taste. “Like what you like, love what you love!” Your gut response is meant to be the authentic one, the one that represents “the real you”. To be swayed by social pressure or by experts and reading is regarded as a sign of insecurity or pretentiousness. But let yourself believe that and your tastes will be less likely to evolve and expand and you’ll miss out on a lot of great stuff. Many of the greatest, most compelling and satisfying cultural objects are complex, occluded, spiky, difficult to like. (Some of the best people too).
by Ian Leslie, The Ruffian |  Read more:
Image: Susan Sontag by Edward Hausner / New York Times Co./Getty Images
[ed. See also: here and here.]

Wednesday, July 22, 2026

Line People

It’s a Sunday afternoon late in June, and as is the case pretty much every day of the week, there is a line at Caffè Panna, an ice-cream shop in Greenpoint that sells perfectly Instagrammable scoops of artisanal scrumdiddlyumptiousness. Though the store doesn’t open for another five minutes, there are more than 50 people, two stroller babies, one Italian greyhound, and one Maltipoo waiting in an orderly line on the sidewalk outside. For every customer who eventually claims their order — “For Hannah! For Harry! For Anna!” — and walks off devouring it, another two seem to appear, creating a never-ending human centipede that stretches from the window, down the block, past an advertisement for the new Olivia Rodrigo album, and around the corner onto another block. The line is inching along slowly, and the clouds are threatening rain, but no one seems bothered. Everyone is beaming. Passersby — bicyclists, drivers, and pedestrians alike — slow down when they encounter the thing, occasionally letting out a squeal of wonder (“What is this line?”) or judgment (“What is this line?”).

Within a quick walk, there are plenty more lines in the neighborhood: for pastries (at Radio Bakery), tacos (Taqueria Ramírez), pizza (Chrissy’s), coffee (Rhythm Zero), matcha (Kettl), ceviche (Mariscos El Submarino), katsu sandwiches (Taku Sando), and more katsu (ACRE). Even during the week, in the middle of the day, it’s not a rarity to see a line of phone scrollers dawdling down India Street toward Radio Bakery. “Is that a bread line?” a visiting family member, looking perplexed, asked me completely seriously not long ago when we strolled past. In some ways, I tried to explain to him.

New York has always had lines for the sorts of experiences you can’t get anywhere else: Broadway tickets, skyscraper observation decks, Cronuts. This summer’s lines, though, can seem borderline ludicrous: three to a street, blocks long, often for the types of things you can get almost anywhere in the city, like bagels, pizza, and pastries. They emerged slowly over the past few years and then like a flood, a cumulative effect of TikTok constantly showing all of us what we are missing out on in our very own boroughs. The temptation is almost too strong — why not take the train 15 minutes to figure out if that slice of pizza is as good as everyone on your “For You” page is telling you it is? “It’s herd mentality,” one young woman, nearly rolling her eyes at herself for joining the masses, tells me at Myka, a fro-yo chain that is arguably the site of this summer’s longest lines. Now, across the city, especially along the Brooklyn waterfront and in much of downtown, people are waiting for an ever-diversifying assortment of viral snacks and “sweet treats” (to use the preferred language of Instagram influencers), all the while petting one another’s dogs, gossiping with friends, minding their toddlers, checking Slack, and scrolling away their remaining time in line. As one TikToker captioned a video taken in the West Village on the first nice day of spring in March, “The sun is out and New Yorkers are back with their favorite activity of waiting in line.” A company called Same Ole Line Dudes (tagline: We Wait for Your Wants!) will even wait in line for you, starting at a price of $55.

Naturally, some New Yorkers are getting persnickety about the situation. “I would never stand in a line. It just seems so déclassé,” the podcaster Francesca Root-Dodson tells me. When I run into a Real Housewife I know on my way to wait in line at Caffè Panna’s original location in Gramercy Park, she says, “When I was growing up here, standing in a line was not a cool thing. Now there’s a whole culture around it. The only thing worth waiting in line for is a Balenciaga sample sale.” The Caffè Panna line is monitored by a camera installed by a mysterious website called damnlines.com. (One Wednesday in July at 4:20 p.m., the website estimates a 25-minute wait; near 30 people are in line.) As such haters’ thinking usually goes, waiting in a line is the lemminglike behavior of tourists in Times Square trying to get a deal on last-minute tickets for The Lion King. Standing in a line is what you do pissily at the airport or Disney World. (Also, self-described real New Yorkers like to say you wait on line, not in one. The mere mention of this distinction can send people into long, impassioned debates about the importance of regional dialect.) “These kids today on these stupid lines,” Dorothy Wiggins, a 100-year-old influencer and West Village resident recently complained on Instagram. (Note her use of on.) “It’s crazy! Just crazy!” Her hairdresser, also featured in the video, shared that she would never stand in line because she grew up under communism.

Others have taken to championing the line people. “I don’t like when people make fun of the people who stand around in long lines,” the downtown writer known as Sotce recently wrote on her Substack. “Some people read Substack, some people wait in a line. Some people have vintage denim and read books by dead people. And really we all die.”

“I’m not somebody who would wait in line,” the owner of the Italian greyhound tries to assure me outside the Greenpoint Caffè Panna. Yet she has just done exactly that, waiting 15 minutes for her Nutella Crunch ice cream, which she doesn’t sound at all embarrassed about as she devours the ice cream in less time than it took to order it. “When you see there’s a line, it means the place is good,” her friend, the owner of the Maltipoo, tells me. Just the day before, she went to Caffè Panna’s other location, where she also waited in a line. Nearby, two sisters, tourists from Boston, snap photos of their scoops before digging in. “All the lines have felt worth it,” one tells me; for breakfast, they waited in a line at Apollo Bagels in Williamsburg. They’d seen all this hoopla on social media and couldn’t resist sussing out the hype for themselves. “I would rather stand in this line here than go figure out another place to go,” one says to me.

by Brock Colyar, Curbed |  Read more:
Image: Natan Dvir
***
Early on the first summerlike evening of the year, New York’s Greenwich Village was abuzz. Restaurant patios were packed, with waiters shuttling bottles of crisp white wine to diners. On University Place, the queue for frozen yogurt at Mimi’s stretched half a block, bending around the corner. I considered joining it. A New York University student told me the line quadruples after 7 p.m. His friend chimed in to call it “the hottest club in New York.”

Whether it’s an hourlong wait for a shawarma at TikTok favorite Miya Miya in Los Angeles or a two-hour queue for pastries from the Cedric Grolet Opéra pastry shop in Paris, long lines for viral foods and popular restaurants have become a feature of urban landscapes. And summer is peak season for them.“These long lines circulate via social media,” says Emily Contois, an associate professor of media studies at the University of Tulsa. Posts of queues “create and re-create a representation of popularity and virality,” not just for locals, but for anyone online. A recently published study of tourists waiting in food lines in Amsterdam found that 84% of them had seen videos of those lines on TikTok and 54% on Instagram. Lines have become tourist attractions and social experiences in their own right.

Over the past year, I’ve lined up for coffee in Shanghai, for croissants in Edinburgh and for bagels, pizza, cinnamon buns and, most recently, frozen yogurt at home in New York — all with hordes of others joined in the belief that good things come to those who wait.
A recent survey of more than 3,000 US consumers found that 60% of Gen Z respondents reported waiting in line for more than 30 minutes for a specific food. Among all the age groups, 74% of those said the wait was worth it. Experience enough of these lines, and you’ll see they’re more than a byproduct of imbalanced supply and demand. They’re places where complex social, psychological and economic theories play out, one slow-moving step at a time.

Social media posts have made waiting for Mimi’s part of the experience for many customersPhotographer: Yuvraj Khanna for Bloomberg Businessweek
In the queue for Mimi’s, I passed the time people-watching, scrolling on my phone and chatting with line mates. Among them was Athena Yan, from Shenzhen, who’s studying for her master’s in urban planning at NYU. She told me she’d been drawn to Mimi’s by its online cachet, but now she appraised the queue through an urban planner’s lens. Lines like this, she said, offer a social benefit: They “make the street look more energetic, more alive.” Her interest wasn’t strictly academic. After conquering the line and procuring her yogurt, she said, “I’m going to post it to my Stories.”

by Matthey Kronsberg, Bloomberg |  Read more:
Image: Yuvraj Khanna
[ed. Beats sitting on your couch at home watching tv, I guess.]

Monday, July 20, 2026

Our Uncertain Uncertainties

Even the experts inventing AI don’t know what will happen next. Is artificial general intelligence even possible? Can scaling continue? Will we need massive compute centers to make AI, or can we do it with a mere 25 watts like we do in our brains? What will humans do as AI gets smarter? What does the future of the economy, of warfare, or civil society look like?

Everyone has a different guess. The people creating the machines have as many different ideas as the onlookers, the pundits, the other scientists, and the wisest among us. No one knows. There is a vibe that we’ll know within the next three years. For some, the pace of change suggests that if things continue as they have been, by 2029 at the latest, the outlines of an AI-first world will have emerged. By then we’ll have answered the question of scaling, we’ll have seen the effects on employment, and we’ll have felt its acceleration in the economy – or not.

That’s a reasonable, and not outlandish scenario. But I offer an alternative scenario which I think we should also keep in mind: AI continues to surprise us at its core. As AI continues to evolve rapidly there will be no resolution to these questions in 3 years. By 2029, we still won’t know if AGI is possible, we can’t tell if employment is disrupted, and we still can’t say if it is worth the huge investment. I don’t mean AI progress stalls. I mean, AI continues to advance, but the new stuff doesn’t answer the old questions, it only expands our ignorance because the new is new in a new way. We have to alter our ideas (and measurements) of employment, we have to amend our concepts (and measurements) of the economy, and we have to shift our ideas of what AI even is.

In other words, we have a sustained, extended period of uncertainty. Not just a few years, but a decade or more. As AI continues to progress, rather than resolving our perplexity, it expands it. So for the next 10-15 years we have perpetual, continuous, severe uncertainty. This is a burdensome weight because people hate uncertainty more than bad news.

It goes deeper. AI is only one leg of this grand uncertainty. In the next decade the US will continue its slide off its pinnacle of a sole global superpower, while China continues to rise in power and prestige. This shift toward a duopoly prompts a new world order, and no one – especially the Chinese and Americans – knows how this will play out. The uncertainty around this shift is nearly boundless, and yet its indeterminate consequences will affect everyone in the world, but especially the US. Being dethroned from the century-long position of sole #1 will be a huge psychological blow, and the uncertainty of what follows will weigh heavy on all aspects of life. The uncertainty of a new role spreads over China as well, because while they are zooming ahead at 1,000 miles per hour, they have no idea where they are headed. The uncertainty of global relationships and new national identity, plus the uncertainty of individual worth and identity from AI increases the overall uncertainty levels to new highs. All this is a very large puzzle and will not be resolved in 3 years. This will be a sustained uncertainty.

It goes deeper still. After a long first wave of true globalization, there are now whirlpools of chaos and polarization as nations adjust to world-wide immigration and the borderless spread of modern culture, causing chaos in national politics, and sowing mistrust with the establishment. Anarchy, disruption, contrarian antics, blows to the states, seem to be the norm in countries all around the world. This wild chaos is being fueled in part by the new technologies of social media which have replaced the managed care of established media. News now is far more volatile, hard to control by anyone, and further elevates the already amplified uncertainty. There is a visceral sense that civics is headed into an unknown territory of near-permanent provisionalism.

Additionally, AI also forces even the most moderate person to question the truth of what they read, see or hear. Is that real or AI generated? How much has been manipulated? Who do you trust to disclose what is real? How do we come to agree that something is true? The traditional mechanisms of trust have been damaged by AI, so that this new technological realm generates a huge uncertainty. As AI gets more skilled at imitating reality, this uncertainty is likely to keep increasing for a while, and not just 3 years. The uncertainty meter is now deep in the red zone.

Finally, the ambiguity and indefinite nature of AI, or human identity, or whether what we see is real or generated, means that we are entering a period where we are even uncertain of our doubts. Our uncertainty is so deep and durable, yet elusive, that we will have extended uncertainty about whether we are uncertain. We can have major agreements on what we know versus what we don’t know. In the model of Rumsfeld’s Unknown Unknowns, we will be confronted by Uncertain Uncertainties. And they will prevail for at least a decade or more. [...]

Given the inherent unknowability of this era, what would some of the signs be that we are in it? They might look like this: in 5 years, 1) There are high-profile disagreements among leading AI researchers on whether AGI is here. 2) Reputable economists can’t determine if productivity has increased or decreased. 3) Lower public confidence in media platforms and established institutions. 4) The US and China cannot decide whether they are allies nor adversaries. 5) There are ambiguous spikes in employment rates in both directions. 6) Medical levels of anxiety increase. 7) Major court decisions leave as many questions as answers. 8) Commitments (marriage, work) are postponed even later in life. 9) Investing, capital allocation becomes more expensive. 10) Nihilism gets respect.

A great question to ask when creating a scenario is what could prevent it from happening? Maybe there is not a single force that can undo this sustained uncertainty, but perhaps it is a mixture of several. If AGI arrived without a doubt in 3 years and China took over Taiwan despite the US’s actions, and if companies found a way to embed reliability and trust in media, then maybe this extended uncertainty could cease.

A second question to ask, is if we find ourselves in this scenario, what should we do about it? The most effective response to this multi-layered persistent uncertainty is not to seek impossible stability, but to cultivate radical adaptability and radical optionality. Give up on having a reliable prediction of what happens next. Instead cultivate multiple scenarios of what could happen, and endeavor with each of them to maximize your options. Goals should be considered as disposable hypotheses, constantly ready to be discarded and replaced by better-fitting concepts later on. You will be dead wrong on 19 out of your 20 expectations, but at least one of them will allow you to proceed. Make your decisions not on whether they are “right” but on whether they tend to give you more options later.

In our era of uncertain uncertainty, certainty will be the killer. In this era more downfalls will happen because of overconfidence than questioning. The key is to not get stuck on just one option. You have to become at ease holding multiple contradictory possibilities at once. (To prevent yourself from being swept away by the latest current and fashionable whim, this radical adaptability must be anchored on a steadfast set of unchangeable virtues, as corny as honesty, or as slick as generosity.) The strategy for prospering in prolonged uncertainty must be one of constant, agile recalibration.

In short, in our age of uncertainty, you have to get good at changing your mind.

by Kevin Kelly, Substack |  Read more:
Image: uncredited
[ed. The diagnosis might be right but the prescription seems weak. Flexibility and adaptability are always good qualities to cultivate, but the challenges confronting us require more. Here's an example of embracing multiple contradictory possibilities: maybe in times of uncertainty we double down on the few things that we actually can be certain of. How? By making good choices, before and after AGI. For example, Buddhism starts with the acknowledgement that life is hard. It's what you do after internalizing that fact that matters. There are value systems and paths that can lead to a meaningful life, or enlightenment if you want to call it that, but we have to make the right choices if we're to find them. Love, family, friendships, ethical living (like the golden rule) are common values we all share. So why not embrace those values as tightly as we can while navigating the stormy seas to come - and using the best minds in the world (that are being born as we speak) to guide and assist us in strengthening those bonds? This might be one of the benefits of AI: forcing us to reorganize societies in ways that might never have been possible before, or even imaginable. If we make the right choices. Developing Plans A to Z and having 20 options each or something like that sounds like a Hunger Games scenario to me - all reaction and no responsibility. We have the opportunity now (even if forced) to redefine our human destiny. The choices we make will define our places in the future.]

The New Coming Age

Google CEO Demis Hassabis offered us a first rate second rate essay, A Framework for Frontier AI and the Dawning of a New Age. I’ll go over that essay and various responses to it in Part 1.

Part 2 of this post then covers Alex Turner’s resignation, and his story about how he tried and failed to prevent Google from signing up to allow the Department of War to use its models for essentially whatever the government wants, including autonomous weapons.

Demis Hassabis sold DeepMind to Google on condition that something like this would not happen. Yet here it is, happening. A cautionary tale. [...]
***
The Core Statement and Request

He saying we are standing in the foothills of the singularity.

His ask is a Frontier AI Standards Body within the US Government, similar to FINRA, that would govern ‘frontier labs,’ defined as any company that produces a frontier model based on various technical benchmarks. Evaluations would be updated regularly, and vulnerabilities would be addressed, both before and after release.

He is excellent about stating that this is big, really big, no bigger than that, it be big.
Demis Hassabis: I’ve spent my whole life working on AGI because I’ve always had a deep conviction that, if built and deployed responsibly, it would prove to be one of the most beneficial and transformative technologies ever invented. AGI cannot be compared to standard technological breakthroughs, not even ones as consequential as the internet or mobile - it is much more akin to the discovery of electricity or fire. If you stop to think about it, we’ve essentially found a way to make sand think. It’s miraculous.

The magnitude of this technology’s impact will be unprecedented, perhaps 10x of the Industrial Revolution at 10x the speed. It will help us solve some of the biggest problems society faces from accelerating drug discovery to developing new clean energy sources to creating novel advanced materials. We could even reach a point where resources are no longer the limiting factor for human progress, leading to an amazing new era of abundance.
Things Left Unsaid

There is definitely a ‘don’t say the thing’ aspect of this, where he won’t name what the downside risks actually are. When Demis says ‘experts disagree’ he is rather avoidant about the way in which they disagree here.
Nate Soares (MIRI): I’m glad Demis acknowledges that this is a “pivotal moment in human history” during an “extremely intense” race. I’m disappointed that his proposed solution is a “standards body” to evaluate whether models are dangerous, with no plan for what to do once they are.

I’m glad he acknowledges that “experts disagree.” I’m annoyed that he glosses past how the disagreement is about whether there’s a ~5% or ≥50% chance of total catastrophe. We’ve gotta do better.

Aaron Scher: Glad to see AI CEOs speaking publicly about their views on AGI. I think Demis is wrong about his policy prescription: it’s far too little too late. When he says the experts disagree, he means that some think 5% this tech kills literally everybody, some at 40%, some at 90%.
Clearly this is strategic, but if you don’t already know, or are looking to not realize, it is very easy to come away thinking that Demis does mean the effect on jobs, even though when he says ‘safely’ he very much does not (primarily) mean that.

The Proposal
Demis Hassabis: … On the horizon, we will need robust safeguards to maintain control of increasingly agentic, recursively self-improving systems - and tackle unknown issues that will only become clearer over time.

… I’ve always believed in the power of human ingenuity and creativity to solve any problem. I’m confident that mitigating the technical risks related to AI is a challenge we can collectively address, but only if we give ourselves the time and space to get this next crucial step right. Currently, as a field and as a wider society, we aren’t doing that.
He makes clear part of this is about giving us options, including for a slowdown.
The strength of this approach is it would be technically focused, while at the same time supporting innovation and incentivising responsible behaviour. It is designed to keep up with the field’s acceleration and adapt to the biggest risks as they are identified, and could be ratcheted up if the seriousness of the situation demands, including coordinating a slowdown in development among the Frontier Labs if deemed necessary.
Demis keeps it short, not offering many details. To the extent that he has laid out a proposal, it seems to be a good one. It is definitely an improvement on the margin.
Jack Clark (Anthropic): At this point, everyone at the frontier of AI agrees that third-parties should test out AI systems and use these to develop standards to feed into policy - excellent to see @demishassabis laying out a framework to do this!

Samuel Hammond: It is striking to see leadership at Google, Anthropic, OpenAI and Microsoft all fairly independently sounding warning alarms about an imminent technological acceleration.
Thus I file this post and its ask, as high praise, under ‘the least you could do.’

A Good Start But Insufficient

I agree with Peter Wildeford that while better than nothing FINRA is not a great model here, with heightened risk of regulatory capture, and not a substitute for full government action. You need an SEC to your FINRA. That doesn’t mean don’t make the FINRA. It does mean you still need the SEC.

Would such a (at least partly) voluntary regime, only for models intended for release, and without a related binding intentional agreement, be sufficient to solve the problem? No, again it’s just way better than doing nothing, as Peter Wildeford and many others noted.

You do not need to believe, as Aaron Scher and Connor Leahy do below, that only a full halt would be sufficient here, to know we have a long way to go. Demis’s statements here, if you know what they actually mean, imply a level of danger and urgency that is not reflected in the proposal.
Eli Tyre: > Initially, Frontier Labs would voluntarily share models with the Standards Body for review up to 30 days before release.

Is this proposal only intended to address risks from models that companies plan to release? If a company develops a frontier model and never releases it, only deploying it internally to develop even more powerful AI capabilities, are they thereby exempt from this oversight scheme?

Connor Leahy: While @demishassabis is right that we need urgent action to address risks as we approach AGI (and superintelligence, I’d add), the correct response to the threats is not a ‘self-regulatory organization’.

We need to prohibit superintelligence, not give industry regulatory power.

Aaron Scher: … The extinction threat, the “only a few short years”, the “10x the Industrial Revolution”—these aren’t indicators that point to “let’s evaluate models to understand their capabilities and have voluntary safety standards”. We need to back off, we need to halt the creation of ASI.

Point 2: I agree with the attached quote that we need more time. But I think Demis’s optimism is a vibe, not a trustworthy basis for predictions. Rob Miles says it best in this video, if an asteroid we’re headed earth’s way 200 years ago, we’d just die 🤷

Point 3: As others have pointed out, it’s not clear that this proposal would reduce risks from internal deployment (it seems to focus on public deployment and pre-deployment testing), but internal deployment is where much of the risk is.

Point 4: I don’t think the proposed body could actually enact, verify, and enforce a slowdown; there’s ambiguity about what’s voluntary. Again, I think we need a long-term international treaty and to actually back off, not just to slow down a little.
by Zvi Mowshowitz, DWV |  Read more:
Image: uncredited
[ed. See also: The Voice of Google (New Yorker):]
***
I started working at Google in the summer of 2007, straight out of college, as a “new-­grad associate” in the communications department. My first week, I sat with more than a hundred other “Nooglers” (new Googlers) at the company’s weekly staff meeting, T.G.I.F., wearing matching company-issued propeller caps as a kind of ritual hazing. The venue was Charlie’s Cafe, a multilevel auditorium in the heart of the “Googleplex,” the company’s sprawling campus in Mountain View, California. The event felt less like a corporate meeting than like a weekly revival—part stand­up set, part science fair, part sermon, all of it fuelled by keg beer.

Google’s founders, Larry Page and Sergey Brin, were bona-fide public figures by then, and self-­made billionaires multiple times over, but in Charlie’s they were idols. They would often ascend the stage together, practically matching in sweat-wicking athletic clothes and Crocs. Larry had a dopey perma-smile, and seemed delighted by everything, especially Sergey. Sergey was the straight man, with a faint lilt, a product of his childhood in Russia, and an acrobatic build that made him look like he might launch into a handspring at any moment. Their charisma was unconventional, contextual; you had to be there. The audience of employees lapped up every word, giggled at every dad joke. During a Q. & A. portion of the proceedings, even adversarial questions were absorbed into the Google spirit—­it all melted into laughs, love. Merriam-­Webster had added “google” to the dictionary the year before. Fortune had crowned it the “Best Company to Work For” in America. Profits were, as the execs loved to boast, “up and to the right,” fuelled by an online-advertising machine that minted cash beyond Wall Street’s wildest dreams. But the company’s financial success felt almost incidental. What mattered, we told ourselves, was the mission—a conviction that technology could improve the world and that we were helping to build the future. The air in Charlie’s buzzed with collective belief.

That first meeting was the only one I’d ever attend as a pure spectator. By week two, I was working the event—­cordoning off the Noogler section, handing out extra caps—and I soon began helping to draft bits of Larry and Sergey’s script. A portion of my time was spent supporting the P.R. team, and I started to pick up my first press requests, providing office tours to journalists eager to see the “Google experience” firsthand. I studied a “master workplace talking points” document, which was maintained with input from PeopleOps, which was Google-speak for human resources. This was the era of “bringing your whole self to work,” of shiny, smiling H.R. people doing press hits about the importance of valuing employees’ authentic personhood (always with a telling corollary: “Because that’s how people do their best work!”). I was required to attend a training on “conscious business” with a guy named Fred Kofman, an executive coach whom Sheryl Sandberg credited with shaping her “lean-in” ethos. The course was, theoretically, about living one’s courageous values, but its most salient lesson was that employees should take “unconditional accountability”—which, in practice, sounded a lot like never questioning the higher-ups. The message reiterated over and over was that there were two kinds of people in the world: victims and players. You wanted to be a player at all times.

Despite the lore, Google’s offices didn’t make a big first impression. The bulk of the campus had been quickly converted after its previous occupant went down in the fallout from the dot-­com bust. The result was a complex of squat, one-­ or two-level buildings with metal and glass siding, surrounded by a moat of parking spaces, with Google signs plunked into the dirt out front. But there were plenty of amenities to point out—­the massage rooms and nap pods, the dinosaur fossil, the wacky sensory-­break touches like ball pits, swings, and yoga balls (even if no one actually seemed to use them). Foreign journalists seemed more skeptical than their American counterparts of perks such as lunch-­break haircuts or on-site laundry rooms, which I’d heard described as letting Google be your “housewife.”

“Z is is all a big plot to control ze workers, no?” a French reporter said.

At that point, though, I was still learning to see Google through Google’s eyes. I learned to deflect these kinds of questions and pitied the askers, a little bit, for their cynicism.

Wednesday, July 15, 2026

All Good Sex Is Body Horror

Regenerations as radical as the ones Cronenberg envisions involve what the philosopher L. A. Paul has termed “transformative experiences,” ruptures that change “your own point of view so much and so deeply that, before you’ve had that experience, you can’t know what it is going to be like to be you after the experience.” Not only do we lack access to information that we can acquire only by plunging into the scalding water of a new life, but we cannot foresee how such a jolt will overhaul the very predilections and values that define who we are. [...]

It is a commonplace in the literature of romance that love wreaks legible changes on the body, a development that is typically painted in a positive light. As the poet Octavio Paz so tenderly puts it, “My hands / Invent another body for your body.” He is echoed by E. E. Cummings in a similar poem, which opens, “i like my body when it is with your / body. It is so quite new a thing. / Muscles better and nerves more.” Cummings is not the only one to undergo a shift during the act of love, and the full extent of his metamorphosis is explicable only in terms of his partner’s reciprocal mutation: his poem begins with the ways in which his lover renews his body and ends with the ways in which his body renews his lover’s body in turn. “i like the thrill / of under me you so quite new,” he concludes. The poet’s body changes in response to his lover’s body, his lover’s body changes in response to the changes in his body, his changed body changes in response to the changes in his lover’s body, and so on and on, twining into an ouroboros of mutual reconstruction. [...]

Most people would give anything to be turned into anything else, because most sex is mediocre, and the measure of its mediocrity is that it leaves us unaffected. No one falls ill; no one transforms into a fly or a cockroach; nothing changes. As the narrator of Norman Rush’s novel “Mating” sagely observes, “Sex can be various things, but in my experience the usual thing it is is considerate work on the part of both parties,” accompanied by the exchange of careful courtesies: “after you, no, after you, mais non.” No one has transformative sex all the time, and there is nothing wrong with sex that is merely pleasant. Indeed, a polite volley of pleasantries is probably the best thing that unecstatic sex can be.

Of course, many mediocre sexual encounters are rote in a more pernicious way. Heterosexual sex that follows the standard scripts, with its spankings and its schoolgirls, is not always devastating or traumatic, but its tiresomeness is nonetheless not innocuous. Women are the most obvious losers when the scenarios faithfully reënacted in the bedroom so consistently favor male predilections, but men who inherit their desires from the prevailing sexual culture—or, worse, men who feel they must satisfy a virile masculine ideal whether it appeals or not—lack the opportunity or the means to develop sexual agency. For both parties, the resultant comedy of errors is not satisfying. What nefariously underwhelming sex has in common with respectfully underwhelming sex is that neither brand is especially surprising or especially erotic.

To have sex erotically—and ethically—is to have it with someone else, and a person demonstrates her difference from the self by being impossible to predict, domesticate, or assimilate to preëxistent fantasy. It is not erotic to impose a ready-made desire onto someone pliant, or to slot her into a fetish that has little to do with her. Eroticism occurs only when someone rewrites us so completely that she rewrites even the quality and content of our appetites, and only when this radical rewriting is reciprocal.

Eroticism does not arise every time there is sexual activity, no matter how plodding, but it is also not the exclusive concomitant of love, marriage, or conventional commitment. Most sexual pairings are no more dishevelling than a game of tennis, but it is constitutive of sex that it has the potential to thrust us into metamorphosis that may be sweet, may be sinister, and may be both concurrently. When at last we grow wings, who can say exactly where we will want to fly?

Can a person consent to dying? Can she consent to a complete renewal, which amounts to the same thing?

Surely she cannot consent in the normal way. To consent in the normal way is not merely to grant permission but to grant permission on a particular basis—perhaps a reasonable expectation of pleasure, security, or safety. In any case, there is some positive inner state to which the outward utterance of license is supposed to correspond. A woman, almost always the presumed consenter in a heterosexual exchange, is exhorted to have sex with someone only when she has good reason to believe that she will have a generally happy time with him. Over and over, she is told: you don’t have to do anything you don’t want to do; you don’t have to do anything that makes you uncomfortable. Because she is assumed to know exactly what makes her comfortable, and because comfort is assumed to be a necessary condition of good sex, the procedure the consenter is instructed to follow is not unlike the operation favored by decision theorists. First, she is to imagine what sex with the partner under consideration will be like; second, she is to assign a value to the experience that she has conjured; third, she is to assign a probability of accuracy to her prediction. Having done all this, she finds herself in a position to make a rational decision, consenting if and only if she foresees that an exchange will turn out to be unimpeachably agreeable. Should she prove wrong in her predictions, should she ever feel the slightest scintilla of unease, she should withdraw her consent and beat a hasty retreat.

Three faulty assumptions are baked into this model. The first is that people in general, thus women in particular, can predict, if roughly, what a prospective partner will be like during sex; the second is that people in general, thus women in particular, can predict what they will be like during sex with a prospective partner; the third is that sex can and should be comfortable.

In fact, we are not impermeable packages of preformed desires, importing our likes and dislikes around with us from one encounter to the next like papers in a briefcase. An erotic craving is inextricable from the ferment that foams up when oneself is sluiced into another. Not only is it impossible for us to know whether an encounter will be deflating or transformative but we cannot know what sort of metamorphosis will ensue if the sex is as jarring as we can only hope it will be. We can have no more success when it comes to divining how we will change our partners than we can have when it comes to divining how they will change us—or, following Cummings, how their changes will change us, and how our changes will change them, iteratively and indefinitely. Maybe we will grow the wings of cherubs, but maybe we will find ourselves meshed with the coarse bristles of gigantic flies. All we can say with certainty is that sometimes, when it is working, sex carves out new bodies for our bodies, and these bodies can be both better and more brutal than the ones we could invent alone.

From Cronenberg’s fever dreams, we can surmise that there is a further reason to reject the decision-theoretic model of consent: not only is it impossible for us to know what we will become if an erotic encounter is transformative but we should not want to. To determine in advance what a transformative experience will churn into existence is to sap its power, for the very essence of transformative experience is that we cannot predict how it will transform us. To be sure, it is uncomfortable to stand on the precipice of metamorphosis, but unless we are willing to assume genuine risk we cannot be undone and remade.

Writing of the conservative fear of sexual deviance, the feminist cultural anthropologist Gayle Rubin notes that we are bent on drawing a line between “sexual order and chaos.” The line in question “expresses the fear that if anything is permitted to cross this erotic DMZ, the barrier against scary sex will crumble and something unspeakable will skitter across.” Conservatives are right. If the gender binary melts away, if heterosexuality is no longer the default assumption, if parasites enter the building and dismantle the tenants, something unspeakable will skitter across—and that is the point of any erotic effusion worth pursuing.

by Becca Rothfeld, New Yorker | Read more:
Image: SillDA
[ed. On the movies of David Cronenberg; body horror and eroticism.]

Tuesday, July 14, 2026

The Looting of Science Fiction

Tech titans claim the genre inspired them. But all they’ve done is graft their politics onto stories of a better future.

In January 2026, Elon Musk stood before the US Secretary of Defense and senior Pentagon leaders at the SpaceX Starbase in Texas. ‘We want to make Star Trek real, OK?’ he declared. ‘We want to make Starfleet Academy real. So that it’s not always science fiction, but one day the science fiction turns to science fact, and we have spaceships going through space. Big spaceships!’ He painted a vivid picture: exploring alien civilisations, humanity spreading across the stars. ‘That’s the goal!’ he concluded. ‘And that is what I think the public thinks of when they think of Space Force!’

It was a remarkable pitch selling the Pentagon a science-fiction vision. Of course, the fit is partial, incomplete. Star Trek depicts a post-scarcity, post-capitalist society where money has been abolished and humanity works toward collective betterment. Gene Roddenberry’s Federation was built on principles of equality and exploration for the sake of knowledge, not profit or military dominance. Musk took the aesthetic – big spaceships, alien encounters, epic adventures – and left its political foundation. You don’t have to be a Trekkie to know that, in Star Trek, capitalism, nationalism and militarism have been left behind. Musk wants the Enterprise, but reimagined for the military-industrial complex.

In 2021, when Mark Zuckerberg announced Facebook’s rebrand to ‘Meta’, he took the name from Neal Stephenson’s novel Snow Crash (1992), which imagines the ‘Metaverse’: a virtual reality where people’s avatars navigate digital space.

But Snow Crash is one of the sharpest satirical novels of the past half-century. Stephenson wrote it as a warning: his Metaverse is a consolation prize for a society that has collapsed. The federal government has disintegrated; corporate franchises govern daily life; even pizza delivery has been privatised into a Mafia-run operation. The novel’s protagonist is a pizza deliveryman and part-time hacker whose sword-fighting avatar in the virtual world is the only place where dignity is available to him. Stephenson intended the contrast between digital glamour and material poverty to be horrifying. He saw it as a cautionary vision of where platform capitalism leads.

Zuckerberg’s presentation did not engage with any of this. The platform economy – where corporations are protected from democratic accountability while providing essential services – echoes Stephenson’s model precisely, and Zuckerberg read it as inspiration.

Steve Wozniak, Apple’s co-founder, gave expression to this ethos in 2017 when he said: ‘We are the people who make fantasies real.’ It sounds inspiring, but it is important to know which parts of those fantasies they’re choosing, and which parts they’re leaving out. When Musk unveiled Tesla’s Cybertruck in 2019, he had already told investors what to expect: something ‘really futuristic, like cyberpunk Blade Runner’. Musk was selling survival gear for a collapsing world, a version of Blade Runner’s Los Angeles. The aesthetics got materialised. The warnings did not. [...]

Science fiction in the 1950s imagined flying cars, abundant energy and more – but it did so before Three Mile Island, before Chernobyl, before we learned, often through disaster, what happens when you prioritise speed over safety. Those regulatory frameworks Andreessen wants to demolish emerged from hard-won lessons. The optimistic aesthetic gets borrowed; the learning gets discarded.

Perhaps nowhere is this more legible than in the naming of Palantir Technologies. J R R Tolkien’s The Lord of the Rings (1937-49) is one of the great works of 20th-century literature precisely because it is an extended meditation on the corrupting nature of power. Written in the shadow of industrialised warfare and imperial extraction, it insists on the value of the small, the local and the unglamorous against the totalising ambition of industrial force. Its central moral is not that evil can be defeated by the right hero wielding the right weapon – it is that power itself corrupts, that the Ring cannot be used for good by anyone, and that the only salvation lies in relinquishing the will to dominate entirely. Tolkien’s fictional race of hobbits prevail not because they are powerful but because they are outside the logic of power. Tolkien built an entire mythology to make that argument.

In Tolkien’s novels, the palantíri are seeing-stones or crystal balls that allow their users to see across great distances. They sound like neutral tools, like surveillance technology. But they are devices of corruption: Saruman’s palantír connects him to Sauron and leads to his downfall; Denethor’s drives him to madness and suicide. The palantíri don’t just enable seeing – they enable manipulation and control by those who master them.

The US company Palantir Technologies provides analytics and surveillance tools to governments, militaries and ICE, US immigration and customs enforcement. Its name does political work: it transforms invasive tracking into mystical insight, casting algorithmic surveillance as wise foresight rather than systematic intrusion. In their book The Technological Republic (2025), Palantir’s CEO Alexander Karp and his legal counsel Nicholas Zamiska frame Palantir’s government work in martial terms: ‘We will find a way to build coalitions and bands of warriors. To deny the human need for such affiliation has been a mistake.’ They position surveillance tools as fulfilling a fundamental human need for warrior brotherhood. The Tolkien reference provides the aesthetic authority; the distance from Tolkien’s actual moral vision provides the freedom to act without it. Naming a surveillance company after devices that corrupt and betray their users isn’t homage – it is the appropriation of aesthetic while rejecting the moral core.

William Gibson’s novel Neuromancer (1984) introduced ‘cyberspace’, a term Gibson coined. Its protagonist, Case, is a hacker whose nervous system was damaged by former employers as punishment. Burned out and banned from cyberspace, he drifts through neon-soaked Chiba City as a ‘console cowboy’ with nowhere left to go. The novel’s cyberspace is owned and controlled by vast corporations; individual hackers are not heroes but tools, hired and discarded by interests they can barely see. Gibson’s vision was explicitly dystopian: a world in which the democratising potential of digital networks had been foreclosed before it could begin, captured by capital and turned into an instrument of its own expansion.

In September 1988, the software developer John Walker wrote an Autodesk internal white paper, ‘Through the Looking Glass: Beyond “User Interfaces”’, in which he outlined what he called a ‘cyberpunk initiative’: a proposal to build, within 12 months, a doorway into cyberspace. The project’s motto was blunt: ‘Reality isn’t enough any more.’

By 2025, the San Francisco headquarters of OpenAI pump high-energy electronic dance music across their reception area, where easy chairs, scatter cushions and Swiss cheese plants create what the CEO Sam Altman calls a ‘comfortable country house’ rather than a ‘corporate sci-fi castle’. The chrome and grime of cyberpunk – the neon-soaked warning that the corporate capture of digital space would be brutal and dehumanising – has been replaced by Scandinavian furniture and artisanal coffee. Gibson’s ‘consensual hallucination’ has been rebranded as cozy domesticity. The dystopia has not been avoided; it has been made comfortable enough to sign up for.

Gibson himself registered the irony. In an interview with Wired magazine in 2012, he acknowledged that the cyberspace of Neuromancer – all corporate interests and information thieves – bore little resemblance to the early internet he failed to anticipate: the 1990s-2000s moment when a teenager in a bedroom could genuinely outcompete corporations, when the network felt briefly open and democratic. Gibson missed that phase entirely. But he was accidentally right about where things ended up. The corporate platforms – Google, Meta, Amazon – that now dominate digital life are far closer to his original vision than to the participatory web that briefly flourished between them. Gibson imagined cyberspace as a space of corporate dominance from the start; Silicon Valley built the open internet first, then converged on his dystopia anyway. The difference is that, in Neuromancer, that convergence was the disaster to be resisted. They turned his warning into a product roadmap.

by Ali Rıza Taşkale, Aeon | Read more:
Image: Amazon

Monday, July 13, 2026

The Hotness Curve

The Hotness Curve (how age changes a woman's appeal). (Aella - Knowingless)
Images: uncredited
[ed. Two and Five.]

Sunday, July 12, 2026

The Most Effective Attacking Run at this World Cup

And why it works so well.

Heading into its quarter-finals, the 2026 World Cup had seen more than 90,000 passes, with close to 1,800 of those leading to chances on goal, and 2,367 shots, 280 of which found the back of the net.

These are some of football’s most quantifiable actions, simple to both track and evaluate their effectiveness because they involve the most important piece of equipment in the sport. The ball.


Naturally, players who move the ball closer to goal or are involved in possession sequences that end up in opportunities to score can be seen as impacting the game, the value of their actions derived from tangible outcomes.

But football is not a static sport. And as players move, they interact; swapping positions, creating spaces for others and dragging opponents into other areas of the pitch.

So what about decisions and movements without the ball, those that indirectly affect possession plays by creating that extra second of time and space for team-mates?

Developments in the quality and the availability of tracking data mean that some of football’s key off-ball movements are well-integrated into public analysis. But there is still ground to break when it comes to evaluating the secondary effects of off-ball runs on a wider scale: which ones are the most quietly effective, and who performs them best?

Using in-house data, FIFA’s Football Performance Insights team have noticed a trend.

Compared to previous World Cups, they have spotted that possessions including an off-ball run which targets the inside channels and the space in behind the opposition defence are leading to successful actions more frequently. In other words, attacking the gap between the widest defender and the centre-back nearest to them with a forward run is increasingly valuable.

Compared to the previous World Cup four years ago, possession sequences that include such a movement in the 2026 tournament are leading to around 2.7 shots on goal per 30 minutes of ball-in-play time — an increase of around 34 per cent.



Those runs are effective because they cause tension in the opponents’ defence. Most often, that full-back will have their eye on a winger, while the centre-back on that side will be tracking the striker.

A run from deep through that gap means one or the other has to leave their current player to follow it — and in the time it takes for the defenders to decide which of them should do that, the attacking player, with their forward momentum, has already stolen a march.

Here is an example from the round of 32, as England seek to break down a compact DR Congo defence, who are sitting a little deeper to try to get to extra time...

by Thom Harris, The Athletic |  Read more:
Images: uncredited/The Athletic

Saturday, July 11, 2026

The Decline of Deviance 2

In The Decline of Deviance, I argued that:

Many forms of risk-taking and rule-breaking have declined since the 1990s.

This is both good (less crime) and bad (less innovation).

Deviance is declining because prosperity has increased—people have more to lose, and they’re acting like it.

Since I put it out last October, this has become my most-read post of all time. Lots of folks have chimed in with hypotheses, critiques, and good old-fashioned internet dunks, so let’s see if we can take this idea one level deeper, and weave something out of all these loose threads.

That’s right: we’re doing a sequel to the post about how there are too many sequels.

THE KIDS STOPPED SMOKING AND NOBODY CARED

The most common response I got was: “how awful!”

(The trends, not the post itself, although that too sometimes.)

To most folks, the decline of deviance is a turn for the worst. Previous generations got to live through artistic golden ages, while we have to suffer through an era where there are four different movies that are all, technically, Spider-Man 2.[...]

But this response misses half the post, and the most important point.

In 1995, half of high school students drank, 35% smoked, and 40% had at least tried weed. 10% of them had brought a weapon to school at some point. About 6% of girls aged 15-19 were pregnant. Crime rates were about as high as they had been since we started keeping track of them.

Over the next 30 years, all of these problems shrank and some of them nearly disappeared. And not because of anything we did on purpose! We have no idea how to get kids to stop smoking—when we try to persuade them, we sometimes cause them to smoke more. No, these improvements happened basically by magic, for free, and—I think—as a byproduct of our increasing prosperity. This is like waking up one day to find that you’ve been left a large fortune by a long-lost aunt.

How does this great, unearned victory make us feel? Apparently, it doesn’t make us feel anything. We would have spent billions to solve all of these problems back in the 1990s—no doubt we were spending considerable sums of money on anti-drug programs and public service announcements, wasting almost all of it—and yet when we got the thing we wanted so badly, we didn’t even notice.

Now we’re on to worrying about whether the kids are too sad, whether they play outside enough, etc. Which is all reasonable and fine, but also, can we take a win? Can we at least try to reverse-engineer how some of these trendlines ended up going in our preferred directions, so we can make more of them do that?

I, too, would like to see a movie that is not Spider-Man 2. But I also appreciate that I can watch it safely in my home without fear of being attacked by pregnant teenage criminals.

THE INTERNET DIDN’T DO IT

Many people looked at the trends I presented and said, “Oh, the internet did this”. Maybe the internet killed the vibe by enabling mass surveillance—everyone’s afraid to be weird inside the digital panopticon, where all of your behaviors are recorded, uploaded, and permanently preserved. Or maybe the internet flattened culture by subjecting it to algorithmic curation. We can’t have nice things anymore because the computers won’t show them to us.

Both of these hypotheses are probably wrong, because the internet—at least, the internet as we know it today—simply showed up too late to be a plausible suspect. A majority of Americans didn’t get broadband until 2007. Instagram only launched in 2010, which was also the year that iPhones got a front-facing camera. So the transition from the 1990s to the 2000s, where we see many forms of deviance declining, is not really the transition from “pre-internet” to “post-internet”. That transition happened somewhere around 2012 when a majority of people got a smartphone, and long after most of these trends were already in motion.

So I don’t think the internet is the killer, but I do think it’s an accessory after the fact. In particular, I think the internet accelerated three trends that don’t get much attention. I’m going to call them cultural carcinization, de-frictioning, and the flat-Earth problem.

1. CULTURAL CARCINIZATION

In nature, apparently, being a crab is a good way to be. Several independent evolutionary lineages have ended up with crab-like body plans, a process called carcinization.

Culture can carcinize too, not in the sense that we all turn into crabs, but in the sense that we converge on a small set of strategies. If you’ve ever played a “social deduction” or “hidden role” game like Werewolf, Mafia, The Resistance, Avalon, or Secret Hitler, you’ve seen this happen in real time. Things start out wild and unpredictable as people get a feel for the rules. But everyone’s tactics have to evolve because each gambit can only work once (“If you’re the Secret Hitler, raise your hand right now!”). If you play long enough with the same group, eventually you’ll end up with a handful of maneuvers that continue to be viable even after they’re known, often because they’re difficult to pull off. At this point, the game becomes both extremely competitive and extremely repetitive. This is what cultural carcinization looks like.

The faster we can communicate, the faster we culturally carcinize. When information only travels as fast as humans can walk or horses can run, it takes a long time for any given strategy to play itself out. As we acquire steamships, railroads, telephones, and airplanes, the pace of the game picks up, and tactics have to turn over faster and faster. By the time we get the internet, it’s like every human on Earth is playing Secret Hitler a million times a day. (Except some people are not-so-secretly Hitlers.) Strategies appear and go out of date almost instantaneously until we all end up in a Nash equilibrium, where there’s no way for anyone to get the upper hand anymore.

The internet gives every social trend a pair of rocket-powered roller skates, speeding it toward its crablike final form. On Twitter, for instance, memes go from punchy to passé in a matter of days rather than decades. But if we could play culture on 1x speed rather than 10x speed, if we had time to screw around with different strategies before the game reached its cutthroat stage, we might have discovered different paths entirely. Maybe some folks would end up as crabs, while others became lobsters or kangaroos. Instead, in a hyper-competitive marketplace of ideas, we end up with the same few memes, all done to death.

2. DE-FRICTIONING

We’ve forgotten how much time people in the past spent consuming content that they didn’t actually want to consume: the unskippable clunker of a song that came in the middle of an album, the late-night infomercial that you sat through because there was nothing else on, the magazine you read cover-to-cover in the waiting room because your doctor was 45 minutes late.

Each new media technology reduces this friction. CDs, TiVo, satellite radio, streaming—they all allow us to spend more time with the content that we supposedly desire. And what happens when this friction goes away? Well, in the mid-1990s, a pair of Russian artists named Komar and Melamid surveyed people around the world about their artistic preferences, and then they painted the “most wanted” scene from each country. The results looked like this:

The lesson here is that when people can articulate exactly what they want, and when the marketplace can give it to them, most folks end up sucking down slop. But I don’t think this is because humans yearn for crap and kitsch. I think it’s because no one knows actually what they like until they’re confronted by it. If you cater to people’s raw, undeveloped preferences, sure, you’re going to take them to Sloptown. But people are capable of acquiring more interesting tastes, if you give them the chance. This is the work art does for us—it stretches our desires, rather than merely satisfying them. [...]

This is Komar and Melamid’s second lesson: if you want to see something interesting, you have to see things that you might dislike. And I don’t mean things that merely bore you, like an AI-written Netflix series that’s only meant to be half-watched while you also shop for shoes on your phone. I mean things that grab your attention, only to slap it around. Acquiring new tastes means, from time to time, spitting things out.

In a frictionless environment, however, this never has to happen. The internet excels at identifying what people already seem to want, and giving it to them good and hard. Oh, you liked that video where a monkey eats a piece of cantaloupe? How about 30 million more of those? How about an anteater licking a watermelon? Will that keep your attention for another three seconds? Wait, don’t go yet!! We’ve got a baby hedgehog nibbling on a pineapple!!

3. THE FLAT-EARTH PROBLEM

People once theorized that globalization would cause niche culture to thrive because small-timers could make their living by selling to a tiny proportion of the populace spread all over the globe—the so-called “long tail”. That did become possible, but it didn’t become desirable. Everybody came to the same realization: once you can reach anyone, why not try to reach everyone? Why sell to one thousand people in every single country, when you could sell to every single person in every single country?

Here’s the rub: the more customers you want, the more you have to cater to the lowest common denominator. If you want your film to play in every theater on earth, then it has to appeal to eight billion different sensibilities, which also means it’s going to suck. This is the flat-Earth problem.

It’s easy to see these effects if you know where to look. Because Hollywood wants to sell movies in every market, they’re willing to do everything from editing out laundry clotheslines that make a country look “too backward” to pretending that Freddie Mercury wasn’t gay. [...] 

AM I JUST UNCOOL?

While some folks blamed the internet for the decline of deviance, other people denied the decline entirely.

One common retort to my argument was that I’m just an old fuddy-duddy. For example, a blogger named Jenn claims that I am too uncool and out of touch to understand the cultural innovation happening in new forms of media like YouTube and Roblox. “Before I take a ‘culture is stagnating’ take seriously,” Jenn writes, “I want to see proof of work by the critics.” She concludes: “The culture is fine. Go play Return of the Obra Dinn.” (Return of the Obra Dinn is a video game.) [...]

Pettiness aside, I think Jenn’s claim is plausible: the older you get, the less access you have to the most interesting parts of culture. If you think things are stagnating, you’re just admitting that you aren’t getting invited to the cool parties anymore. Plus, old folks can’t stop themselves from seeing the past through rose-colored glasses—in survey after survey, people think pretty much everything in culture just happened to peak when they were between four and twelve years old:


But things get a little more complicated when you separate people’s responses by age. When you first glance at this YouGov survey, it seems like every generation strongly prefers the music from their own childhood:


But look a little closer. The responses from Gen X, Baby Boomers, and the Silent Generation all have a clear peak flanked by much smaller hills. Millennials’ preferences, on the other hand, are more spread out. And Gen Z’s preferences are basically a plateau—they’re almost equally likely to nominate the 1980s, 1990s, 2000s, and 2010s.

We can’t know whether this is an age effect that they’ll grow out of—maybe every generation was culturally omnivorous when they were younger, and their tastes only calcified when they got older. But I doubt it. For all you Gen X’ers out there, did you spend your teenage years spinning your parents’ Perry Como records until you suddenly switched to Led Zeppelin in adulthood?

Besides, Jenn’s age argument cuts both ways. Old folks are biased by nostalgia, but young folks are biased by inexperience. When you’re young, everything seems new because it’s new to you. You don’t know that your favorite anime is a rehash of a movie from the 1980s, because you weren’t alive in the 1980s. You’re not tired of the tropes yet because you’ve only seem them a few dozen times. You can’t pine for what you lost because you never had it in the first place.

It’s reasonable to be skeptical of any narrative of decline—I did my PhD on why people perceive declines that haven’t actually happened. But (a), unlike most of those spurious nostalgic fantasies, the decline of deviance has both pros and cons. And (b), there are so many weird phenomena here and they need explaining, not just waving away.

For instance— [...]

NO MORE STRANGE BEDFELLOWS

Another theory that readers put forward: the deviance got scarce because life got hard. Nobody can do cool art anymore because everything is too expensive: housing, college, supplies, etc.

I think this is probably wrong. I suspect that it’s always been hard to be an artist, and previous generations were simply more willing to starve for it—not because they were braver, but because the difference between starving and not-starving used to be much smaller. [...]

You don’t have to go that far into the past to find a kind of poverty that feels foreign today. I read an article a while back about punk musicians living in New York in the 1970s, and they’re sleeping in roach-infested flophouses, they’re making music in abandoned buildings, they’re getting evicted and mugged and addicted to drugs.They’re truly broke, not “I can’t contribute to my retirement fund this month” broke, but “I might have to spend the night on this bench because I can’t afford a bus ticket back home” broke. I know plenty of aspiring musicians are out there slumming it right now, but this is a level of deprivation that most folks in developed countries would find unacceptable, if not downright dangerous. Once you’re sleeping rough, it’s time to hawk the guitar and call the temp agency.

That’s not because dire poverty became less glamorous—it was never glamorous!—but because it became uncommon. When five musicians spend the night in a bus station, that’s called being punk. When one musician spends the night in a bus station, that’s called being homeless.

The richer the world gets, the higher the opportunity cost that starving artists have to pay. If you’ve got the chops to write a great novel, then you might also have the chops to make $95k working as a product manager for some mid-sized fintech firm. If your alternative was tilling turnips or spending six months at sea hunting sperm whales, you might say, screw it, I’d rather go hungry for my art than go somewhat less hungry for anything else. But that manuscript in your desk drawer is less enticing when you can have PTO and dental and an annual international vacation where you get to sleep in a bed that doesn’t have any strangers in it. [...]

As William James wrote 100 years ago:
We have grown literally afraid to be poor. We despise any one who elects to be poor in order to simplify and save his inner life. [...] We have lost the power even of imagining what the ancient idealization of poverty could have meant: the liberation from material attachments, the unbribed soul, the manlier indifference, the paying our way by what we are or do and not by what we have, the right to fling away our life at any moment irresponsibly,—the more athletic trim, in short, the moral fighting shape.
The difference is that today we don’t despise people who elect to be poor, I think, because we don’t know any of them.

THE DECLINE OF DEVIANCE, THE RISE OF TOLERANCE

Many people asked some version of, “Is the decline of deviance actually an increase in tolerance?” After all, even if you wanted to be deviant today, how would you do it? [...]

So no doubt part of the decline of deviance is an increase in tolerance. But I think it, too, can be explained by the rise of mass prosperity.

The economists Daron Acemoglu and James Robinson argue that nations get rich when they build inclusive economic and political institutions. Oligarchs and aristocrats fear any growth or reform that they can’t control, which in practice means basically all growth and reform. (“We do not desire at all that the great masses shall become well off and independent,” once remarked Frederick Gantz, an imperial flunky of Francis I of Austria. “How could we otherwise rule over them?”) If the plebs and the serfs can get a bit of money and power, however, it kicks off a virtuous cycle. Once people have some cash and influence, it becomes bad business and bad politics to shut them out—if you won’t engage with them, someone else will, and your more open-minded rivals will eventually out-compete you.

This process takes a long time, it’s uneven, and it’s not close to being completed. However, a few generations of semi-inclusive institutions have created a much wider spectrum of acceptable lifestyles. If you want to live in a polyamorous, genderless vegan witch commune, you can order your nutritional yeast on Amazon, trade memes with your friends on Tumblr, and vote for Democrats who think your choices are a-ok. If you want to live in a neoreactionary monarchist compound where you stockpile weapons and hunt bears, you can buy your guns at Wal-Mart, read posts on TruthSocial, and vote for Republicans who are on board with all of it. As long as you have money to spend and ballots to cast, someone can get ahead by catering to you.

(Case in point: one of the “platinum sponsors” of the New York City Pride Parade is Deutsche Bank.)

This is a good thing. Inclusive institutions make everybody better off, except for the few cleptocrats who used to live in palaces while everyone else lived in shacks.

The downside is that every corner of culture gets commercialized. Reading comic books, listening to death metal, piercing body parts other than your ears—these used to be legitimately countercultural acts that distanced you from polite society and bonded you to an alternative community. Now you can do all these things at the mall. The Hot Topic-ization of culture means that anything new and interesting gets co-opted and mass-produced, thus draining it of everything that made it cool in the first place.

by Adam Mastroianni, Experimental History | Read more:
Images: Mr. Mastrioianni; Joanna M. Wolfe; YouGov/WaPo; YouGov