What I regret most in my life are failures of kindness. Those moments when another human being was there, in front of me, suffering, and I responded . . . sensibly. Reservedly. Mildly. Or, to look at it from the other end of the telescope: Who, in your life, do you remember most fondly, with the most undeniable feelings of warmth? Those who were kindest to you, I bet.

When young, we’re anxious — understandably — to find out if we’ve got what it takes. Can we succeed? Can we build a viable life for ourselves? But you — in particular you, of this generation — may have noticed a certain cyclical quality to ambition. You do well in high-school, in hopes of getting into a good college, so you can do well in the good college, in the hopes of getting a good job, so you can do well in the good job so you can . . . And this is actually O.K. If we’re going to become kinder, that process has to include taking ourselves seriously — as doers, as accomplishers, as dreamers. We have to do that, to be our best selves.

Do all the other things, the ambitious things — travel, get rich, get famous, innovate, lead, fall in love, make and lose fortunes, swim naked in wild jungle rivers (after first having it tested for monkey poop) – but as you do, to the extent that you can, err in the direction of kindness. Do those things that incline you toward the big questions, and avoid the things that would reduce you and make you trivial.

York points to a 1946 U.S. Supreme Court decision, Marsh v. Alabama, which held that private entities can become sufficiently large and public to require them to be subject to the same Constitutional constraints as government entities. Though York says this ruling has “not as of this writing been applied to the quasi-public spaces of the internet”

even if YouTube were treated as an extension of government due to its size and required to retain every non-criminal video uploaded to its service, it would make as much of a political statement elsewhere, if not more. In France and Germany, it — like any other company — must comply with laws that require the removal of hate speech, laws which in the U.S. would be unconstitutional

Several European countries have banned Google Analytics because it is impossible for their citizens to be protected against surveillance by American intelligence agencies.

TikTok has downplayed the seriousness of its platform by framing it as an entertainment venue. As with other platforms, disinformation on TikTok spreads and multiplies. These factors may have an effect on how people vote. But the sudden alarm over yet-unproved allegations of algorithmic meddling in TikTok to boost Chinese interests is laughable to those of us who have been at the mercy of American-created algorithms despite living elsewhere. American state actors have also taken advantage of the popularity of social networks in ways not dissimilar from political adversaries.

what York notes is how aligned platforms are with the biases of upper-class white Americans; not coincidentally, the boards and executive teams of these companies are dominated by people matching that description.

It should not be so easy to point to similarities in egregious behaviour; corruption of legal processes should not be so common. I worry that regulators in China and the U.S. will spend so much time negotiating which of them gets to treat the internet as their domain while the rest of us get steamrolled by policies that maximize their self-preferencing.

to ensure a clear set of values projected into the world. One way to achieve that is to prefer protocols over platforms.

Yes, the country’s light touch approach to regulation and generous support of its tech industry has brought the world many of its most popular products and services. But it should not be assumed that we must rely on these companies built in the context of middle- and upper-class America.

In fact, more people are technologists than ever before, insofar as a “technologist” can be defined as someone inventing, implementing or repurposing technology. In particular, the personal computer has allowed anyone to live in the unbounded wilderness of the internet as they please. Anyone can build highly specific corners of cyberspace and quickly invent digital tools, changing their own and others’ technological realities. “Technologist” is a common identity that many different people occupy, and anyone can occupy. Yet the public perceptions of a “technologist” still constitute a very narrow image.

A technologist makes reason out of the messiness of the world, leverages their understanding to envision a different reality, and builds a pathway to make their vision happen. All three of these endeavors—to try to understand the world, to imagine something different, and to build something that fulfills that vision—are deeply human.

Humans are continually distilling and organizing reality into representations and models—to varying degrees of accuracy and implicitness—that we can understand and navigate. Our intelligence involves making models of all aspects of our realities: models of the climate, models of each other’s minds, models of fluid dynamics.

We are an unprecedentedly self-augmenting species, with a fundamental drive to organize, imagine, construct and exercise our will in the world. And we can measure our technological success on the basis of how much they increase our humanity. What we need is a vision for that humanity, and to enact this vision. What do we, humans, want to become?

As a general public, we can collectively hold technologists to a higher ethical standard, as their work has important human consequences for us all. We must begin to think of them as doing deeply human work, intervening in our present realities and forging our futures. Choosing how best to model the world, impressing their will on it, and us. We must insist that they understand their role as augmenting and modifying humanity, and are responsible for the implications. Collective societal expectations are powerful; if we don’t, they won’t.

By improving home charging for urban apartment dwellers and prioritizing vehicles with smaller batteries, rather than road-trip-enabling charging stations and big batteries, we could maximize the miles we can affordably electrify. In an era of battery scarcity, we could have two 150-mile E.V.s for the battery capacity in every 300-mile E.V. Or, using the same 300-mile E.V. battery, you could have six plug-in hybrids with 50 miles of electric range for daily driving and a gasoline engine for those rarer road trips or many, many more e-bikes.

Rather than holding E.V. adoption hostage to our ability to make batteries match internal combustion in every way, government policy should focus on the cases where E.V.s have advantages that internal combustion will never match: waking up every morning with a full “tank” sufficient for daily commuting and errands.

The whole public-facing system of college admissions—in which admissions decisions are based on rigorous academic standards and financial aid is supposedly provided to those who are most academically and financially deserving—is an elaborate stage play meant to flatter privileged families and the reputations of colleges themselves. The real system, hidden behind the scenery, is much closer to the mechanics of pure capitalism, driven by an industry of for-profit consultants and relentlessly focused on the institutional bottom line.

A spokesman from Clark University, which tried to entice Ethan with a “$68,000 Robert Goddard Achievement Scholarship,” told me that the school “does not rely on an enrollment management consultant.” Instead, they said, it “occasionally” hires “outside analytical support” that does “not tell us how much aid to offer any student or group of students” but does “crunch large volumes of data in a timely manner that we then use to assess our progress toward our enrollment goals and estimate/project our total aid expenditure through that enrollment cycle.”

So, not an enrollment management consultant. Just, you know, a consultant that helps them manage enrollment.

As DiFeliciantonio wrote: “Wealthy families are more able and less willing to pay for college while the poorer families are more willing and less able.” In other words, parents of means who themselves have finished college are often sophisticated consumers of higher education and are able to drive a hard bargain, whereas lower-income, less-educated parents feel an enormous obligation to help their children move farther up the socioeconomic ladder and blindly trust that colleges have their best financial interests at heart. So colleges obey the algorithm and offer more financial aid to the Ethans than to the Ashleys, one of many problems identified in a recent Brookings Institution report.

Ashley submitted financial aid forms with information about her family’s modest income because everyone and everything about the process told her college aid is based on how much money you need, or deserve. She had no idea that information could be used against her. In May, New York University offered her admission if she would agree to delay enrollment until spring 2023—when, maybe not coincidentally, her good-but-not-stellar academic record would not count in the rankings data NYU submits to U.S. News & World Report. Their price? $79,070. Their aid offer? $0, take it or leave it, with 96 hours to respond.

as the countless individual stories that compose the nation’s $1.7 trillion student loan crisis show, many families make different choices. They are drawn in by a combination of optimism, blind faith, and familial obligation, and end up with debts they cannot repay. Colleges know this will happen.

Nobody is really judging your worthiness for financial aid. College is just another service with a price.

Every aspect of interacting with the various institutions that monitored and managed my kids—ACS, the foster care agency, Medicaid clinics—produced new data streams. Diagnoses, whether an appointment was rescheduled, notes on the kids’ appearance and behavior, and my perceived compliance with the clinician’s directives were gathered and circulated through a series of state and municipal data warehouses. And this data was being used as input by machine learning models automating service allocation or claiming to predict the likelihood of child abuse.

The dominant narrative about child welfare is that it is a benevolent system that cares for the most vulnerable. The way data is correlated and named reflects this assumption. But this process of meaning making is highly subjective and contingent. Similar to the term “artificial intelligence,” the altruistic veneer of “child welfare system” is highly effective marketing rather than a description of a concrete set of functions with a mission gone awry.

Child welfare is actually family policing. What AFST presents as the objective determinations of a de-biased system operating above the lowly prejudices of human caseworkers are just technical translations of long-standing convictions about Black pathology. Further, the process of data extraction and analysis produce truths that justify the broader child welfare apparatus of which it is a part.

As the scholar Dorothy Roberts explains in her 2022 book Torn Apart, an astonishing 53 percent of all Black families in the United States have been investigated by family policing agencies.

The kids were contractually the property of New York State and I was just an instrument through which they could supervise their property. In fact, foster parents are the only category of parents legally obligated to open the door to a police officer or a child protective services agent without a warrant. When a foster parent “opens their home” to go through the set of legal processes to become certified to take a foster child, their entire household is subject to policing and surveillance.

Not a single one was surprised about the false allegations. What they were uniformly shocked about was that the kids hadn’t been snatched up. While what happened to us might seem shocking to middle-class readers, for family policing it is the weather. (Black theorist Christina Sharpe describes antiblackness as climate.)

In reality, artificial intelligence encompasses a range of techniques that largely remain useful for a range of uncinematic back-office logistics like processing data from users to better target them with ads, content and product recommendations.

the technologies would at times cause harm, as their humanlike capabilities mean they have the same potential for failure as humans. Among the examples cited: a mistranslation by Facebook’s AI system that rendered “good morning” in Arabic as “hurt them” in English and “attack them” in Hebrew, leading Israeli police to arrest the Palestinian man who posted the greeting, before realizing their error.

Recent local, federal and international regulations and regulatory proposals have sought to address the potential of AI systems to discriminate, manipulate or otherwise cause harm in ways that assume a system is highly competent. They have largely left out the possibility of harm from such AI systems’ simply not working, which is more likely, she says.

Facebook, Twitter and YouTube each took first steps to rein in the worst behavior on their platforms in the heat of the election, but none have confronted how their spaces were structured to become ideal venues for outrage and incitement.

The first step in the process is realizing that the problems we’re experiencing in digital life — how to gather strangers together in public in ways that make it so people generally behave themselves — aren’t new. They’re problems that physical communities have wrestled with for centuries. In physical communities, businesses play a critical role — but so do public libraries, schools, parks and roads. These spaces are often the groundwork that private industry builds itself around: Schools teach and train the next generation of workers; new public parks and plazas often spur private real estate development; businesses transport goods on publicly funded roads; and so on. Public spaces and private industry work symbiotically, if sometimes imperfectly.

These kinds of public spaces mostly don’t exist online. Twitter, Facebook, YouTube and Twitch each offer some aspects of these experiences. But ultimately, they’re all organized around the need for growth and revenue — incentives which are in tension with the critical community functions these institutions also serve, and with the heavy staffing models they require.

Recent peer-reviewed research from three professors at the University of Virginia demonstrates how dramatically the design of platforms can affect how people behave on them. In their study, in months where conservative-leaning users visited Facebook more, they saw much more ideological content than normal, whereas in months where they visited Reddit more they “read news that was 50 percent more moderate than what they typically read.” (This effect was smaller but similar for political liberals). Same people, different platforms, and dramatically different news diets as a result.

Wikipedia is probably the best-known example of this kind of institution — a nonprofit, mission-driven piece of digital infrastructure. The nonprofit Internet Archive, which bills itself as a free “digital library,” a repository of books, movies and music and over 500 billion archived webpages to create a living history of the internet, is another. But what we need are not just information services with a mission-driven agenda, but spaces where people can talk, share and relate without those relationships being distorted and shaped by profit-seeking incentive structures.

Users can post only once a day, every post is read by a moderating team, and if you’re too salty or run afoul of other norms, you’re encouraged to rewrite. This is terrible for short-term engagement — flame wars drive attention and use, after all — and as a business model, all those moderators are costly. But there’s a long-term payoff: two-thirds of Vermont households are on the Forum, and many Vermonters find it a valuable place for thoughtful public discussions.

In fact, public digital infrastructures might be the right place to start exploring how to reinvent governance and civil society more broadly.

If mission, design and governance are important ingredients, the final component is what might be called digital essential workers — professionals like librarians whose job is to manage, steward, and care for the people in these spaces. This care work is one of the pillars of successful physical communities, which has been abstracted away by the existing tech platforms. S

The truth is that Facebook, Google and Twitter have displaced and sucked the revenue out of an entire ecosystem of local journalistic enterprises and other institutions that served some of these public functions.

Whoever is behind the scenes of these movies fails to understand that you can actually make more money by making something that is "good". That making a "good" movie means people will want to watch your movie multiple times and then purchase it again later, and purchase more tickets, and purchase the streaming service with your movie, and purchase the box-set with your movie.

There are three ways you could make a film like this, and make it somewhat "good", whatever that term may mean. You could:A) Make a good movie. Make a movie that is artistically fulfilling, filled to the brim with interesting themes and ideas, passionate craftwork, talented artistry. Something that makes people proud that they went to the movies.B) Make a good Jurassic Park/World movie. Make something that builds on the source material before it in an interesting way and gives itself a purpose to exist in the first place outside of being just a cash cow. Something that makes people proud to be a fan of the franchise.C) Make a good dinosaur movie. Just show a bunch of fucking dinosaurs crashing into each other. Something stupid but ultimately fun. Something that makes people proud to have eyes and ears so that they can see something cool.

The impact is particularly noticeable among Generation Z and millennials, the first generations to come of age with the possibility of knowing where their peers are at all times. It has changed how friends communicate with one another and blurred lines of privacy. Friends now, sometimes unwittingly yet obsessively, check one another’s locations and bypass whole conversations — about where somebody is, what they are doing or how their days are going — when socializing. All of that information can be gleaned from Find My.

Although Find My is not marketed as a social experience, sharing locations has become a test of sorts, much like being included on a close friends list on Instagram or on a private story on Snapchat can signal closer friendships.

With Find My, “you aren’t actively choosing to do something as you reach a certain location because you’re constantly sharing your location,” said Michael Saker, a senior lecturer in digital sociology at City, University of London. As a result, “there’s an intimacy that’s intertwined with that act,” he added. “There’s a verification of being friends.”

Good thinking doesn’t happen by passive osmosis of other people’s good thinking. You have to actually write essays and journals to debug yourself and your ideas. And then, crucially, act (a) on this thinking.

Consider a university professor teaching a course. Does she say anything original? Do you think she should cancel her course because somebody else discovered the things she wants to teach? Or does she have to cancel her course simply because there is a similar course at some other university? Or consider yourself. Do you avoid having conversations with your friends when you think you have nothing original to say? Do you share things with them? Do you give advice? Do you help to understand things?

We’ve put the web in the hands of nearly everyone in society, but we’ve spent a depressingly small amount of time helping folks use the web as a building material.

In other words, when Kylie Jenner posts a petition demanding that Meta “Make Instagram Instagram again”, the honest answer is that changing Instagram is the most Instagram-like behavior possible.

The first trend is the shift towards ever more immersive mediums. Facebook, for example, started with text but exploded with the addition of photos. Instagram started with photos and expanded into video. Gaming was the first to make this progression, and is well into the 3D era. The next step is full immersion — virtual reality — and while the format has yet to penetrate the mainstream this progression in mediums is perhaps the most obvious reason to be bullish about the possibility.

The second trend is the increase in artificial intelligence. I’m using the term colloquially to refer to the overall trend of computers getting smarter and more useful, even if those smarts are a function of simple algorithms, machine learning, or, perhaps someday, something approaching general intelligence.

The third trend is the change in interaction models from user-directed to computer-controlled. The first version of Facebook relied on users clicking on links to visit different profiles; the News Feed changed the interaction model to scrolling. Stories reduced that to tapping, and Reels/TikTok is about swiping. YouTube has gone further than anyone here: Autoplay simply plays the next video without any interaction required at all.

The problem is that the main incentive for pursuing corporate sustainability work is its ability to create more marketable products. Outside of sustainability efforts that are pursued based on compliance or regulation, much of this work is built around the idea of pandering to consumers' understanding of sustainability, something that’s notoriously variable.

in Instagram apologies, even when someone ostensibly confronts their ugliness, it’s hard to read the gesture as anything but an effort to publicly reclaim their image. But at least the Notes App Apology permitted us a semblance of sincerity, and suggested there might be a human being who typed the message—even if that human was an intern or assistant. There’s nothing sincere about a trickle-down excuse crafted to look pretty for Instagram grids, and the processed nature of Photoshopped Apologies implies the absence of the one thing all genuine apologies must possess: accountability straight from the person who committed the transgression.

cinema was about revelation — aesthetic, emotional and spiritual revelation. It was about characters — the complexity of people and their contradictory and sometimes paradoxical natures, the way they can hurt one another and love one another and suddenly come face to face with themselves. It was about confronting the unexpected on the screen and in the life it dramatized and interpreted, and enlarging the sense of what was possible in the art form.

Many of the elements that define cinema as I know it are there in Marvel pictures. What’s not there is revelation, mystery or genuine emotional danger. Nothing is at risk. The pictures are made to satisfy a specific set of demands, and they are designed as variations on a finite number of themes. They are sequels in name but they are remakes in spirit, and everything in them is officially sanctioned because it can’t really be any other way. That’s the nature of modern film franchises: market-researched, audience-tested, vetted, modified, revetted and remodified until they’re ready for consumption.

In many places around this country and around the world, franchise films are now your primary choice if you want to see something on the big screen.

And if you’re going to tell me that it’s simply a matter of supply and demand and giving the people what they want, I’m going to disagree. It’s a chicken-and-egg issue. If people are given only one kind of thing and endlessly sold only one kind of thing, of course they’re going to want more of that one kind of thing.

But the most ominous change has happened stealthily and under cover of night: the gradual but steady elimination of risk. Many films today are perfect products manufactured for immediate consumption. Many of them are well made by teams of talented individuals. All the same, they lack something essential to cinema: the unifying vision of an individual artist. Because, of course, the individual artist is the riskiest factor of all.

Yanagihara’s rendering of Jude’s abuse never feels excessive or sensationalist. It is not included for shock value or titillation, as is sometimes the case in works of horror or crime fiction. Jude’s suffering is so extensively documented because it is the foundation of his character.

For the first fifty or so pages, as the characters attend parties, find apartments, go on dates, gossip, and squabble with each other, it is easy for the reader to think he knows what he’s getting into: the latest example of the postgraduate New York ensemble novel, a genre with many distinguished forbears, Mary McCarthy’s “The Group” and Claire Messud’s “The Emperor’s Children” among them.

As the pages turn, the ensemble recedes and Jude comes to the fore. And with Jude at its center, “A Little Life” becomes a surprisingly subversive novel—one that uses the middle-class trappings of naturalistic fiction to deliver an unsettling meditation on sexual abuse, suffering, and the difficulties of recovery.

In this godless world, friendship is the only solace available to any of us.

Like the axiom of equality, “A Little Life” feels elemental, irreducible—and, dark and disturbing though it is, there is beauty in it.

Nevertheless, the interface pushes back with its prescribed methodologies, workflows, and limitations. Interface and artist are an antagonistic pair. Perhaps the best description of the polemic between the two is one of productive cannibalism. Just as the interface evolves under the pressure of innovation to accommodate new pragmatic uses, the artists’ will continue to deconstruct and push its aesthetic and behavioral properties to their limits.