While open access is a cornerstone of Wikipedia’s design principles, some worry the unrestricted scraping of internet data allows AI companies like OpenAI to exploit the open web to create closed commercial datasets for their models. This is especially a problem if the Wikipedia content itself is AI-generated, creating a feedback loop of potentially biased information, if left unchecked.

It would be foolish to try to forbid Wikipedia contributors from using chatbots to help write articles: people would use them anyway, but would try to hide the fact. A ban would also be counterproductive. LLMs are simply tools, just like computers, and the real issue is not whether to use them, but how to use them properly.

While open access is a cornerstone of Wikipedia’s design principles, some worry the unrestricted scraping of internet data allows AI companies like OpenAI to exploit the open web to create closed commercial datasets for their models. This is especially a problem if the Wikipedia content itself is AI-generated, creating a feedback loop of potentially biased information, if left unchecked.

Replacing the lock icon with a neutral indicator prevents the misunderstanding that the lock icon is associated with the trustworthiness of a page, and emphasizes that security should be the default state in Chrome. Our research has also shown that many users never understood that clicking the lock icon showed important information and controls.

Not only are ads present on every physical surface you can imagine, they are also on every digital surface. Websites have ads, the most popular apps in the world are made by advertising companies, and many of the accounts people follow are walking billboards.

inveterate

The purposive design, production and marketing of legal but health-demoting products that stimulate habitual consumption and pleasure for maximum profit has been called ‘limbic capitalism’. In this article, drawing on alcohol and tobacco as key examples, we extend this framework into the digital realm. We argue that ‘limbic platform capitalism’ is a serious threat to the health and wellbeing of individuals, communities and populations. Accessed routinely through everyday digital devices, social media platforms aggressively intensify limbic capitalism because they also work through embodied limbic processes. These platforms are designed to generate, analyse and apply vast amounts of personalised data in an effort to tune flows of online content to capture users’ time and attention, and influence their affects, moods, emotions and desires in order to increase profits.

Money became increasingly fake-seeming as it diverged more and more from a hard day’s work and most conventional wisdom.

The growing number of people taking chances that they barely believed in (starting an Onlyfans, going all in on a memecoin, becoming a performative racist for clicks) reflected a rational response to seeing absurd and/or conventionally shitty ideas have outsized success (Bored Apes, Trump, the Babyccino).

bucking conventional wisdom in any direction became the order of the day. Contrarianism became incredibly popular. Taking the diametrically opposed position to consensus as a shortcut to standing out in a crowded and volatile field was a key Clown Town strategy.

As a subset of contrarianism, Hot Sauce Behavior became especially popular. Hot Sauce involves taking something basic or mid and applying a socially forbidden or mysterious spice to it (in place of, or to function as, the X factor or the je ne sais quoi). This element had to be shocking, bad, atavistic, or otherwise “not normal”—it could be Nazism, grooming, the Occult, Catholicism, outright aggression, the threat of violence, or the attitudes of obscure-to-you political groups—but in smallish amounts. It made peoples’ hearts race and adrenaline pump while they consumed something otherwise bland. (This was the Tension Economy as the new Attention Economy.)

If the 2020 degen was a gambler willing to go all in on a whim… …the 2023 degen is a sophisticated risk manager We have found ourselves in a new cultural era in which multiple overlapping crises and rising interest rates have led to an emergent reckoning. It is now widely understood that it was very stupid to play crazy games with tons of excess money instead of actually improving material reality. But certain questions remain: What the fuck is anything worth today? What’s the best way to manage risk while it all comes falling down?

In chess, today’s average player is more skilled than the one from yesteryear because online exposure of advanced theory has led to regular players making the moves of masters. As Virgil once said, “One kid does a new skateboard trick, then hundreds more can do it the next day around the world.”

Everyone should be able to use their increased intelligence and awareness to better navigate the world. In reality, the irony is painful: When everyone gets smarter, things get harder. If everyone is reassessing the most-effective-tactics-available all the time, it gets harder and harder to win, even though you’re smarter and “should be in a better position.” The Yale admissions office realizes thousands of applicants have watched the same obscure how-to-get-into-Yale TikTok, and decides to change the meta: Leadership is no longer a valuable quality.

Max Pain means, even when you’re right, you’re wrong; it describes a climate in which everyone’s opinion is right at some point, but never at the right time.

This analogy to lossy compression is not just a way to understand ChatGPT’s facility at repackaging information found on the Web by using different words. It’s also a way to understand the “hallucinations,” or nonsensical answers to factual questions, to which large language models such as ChatGPT are all too prone

When an image program is displaying a photo and has to reconstruct a pixel that was lost during the compression process, it looks at the nearby pixels and calculates the average. This is what ChatGPT does when it’s prompted to describe, say, losing a sock in the dryer using the style of the Declaration of Independence: it is taking two points in “lexical space” and generating the text that would occupy the location between them

they’ve discovered a “blur” tool for paragraphs instead of photos, and are having a blast playing with it.

A close examination of GPT-3’s incorrect answers suggests that it doesn’t carry the “1” when performing arithmetic. The Web certainly contains explanations of carrying the “1,” but GPT-3 isn’t able to incorporate those explanations. GPT-3’s statistical analysis of examples of arithmetic enables it to produce a superficial approximation of the real thing, but no more than that.

In human students, rote memorization isn’t an indicator of genuine learning, so ChatGPT’s inability to produce exact quotes from Web pages is precisely what makes us think that it has learned something. When we’re dealing with sequences of words, lossy compression looks smarter than lossless compression

Generally speaking, though, I’d say that anything that’s good for content mills is not good for people searching for information. The rise of this type of repackaging is what makes it harder for us to find what we’re looking for online right now; the more that text generated by large language models gets published on the Web, the more the Web becomes a blurrier version of itself.

Can large language models help humans with the creation of original writing? To answer that, we need to be specific about what we mean by that question. There is a genre of art known as Xerox art, or photocopy art, in which artists use the distinctive properties of photocopiers as creative tools. Something along those lines is surely possible with the photocopier that is ChatGPT, so, in that sense, the answer is yes

If students never have to write essays that we have all read before, they will never gain the skills needed to write something that we have never read.

Sometimes it’s only in the process of writing that you discover your original ideas.

Some might say that the output of large language models doesn’t look all that different from a human writer’s first draft, but, again, I think this is a superficial resemblance. Your first draft isn’t an unoriginal idea expressed clearly; it’s an original idea expressed poorly, and it is accompanied by your amorphous dissatisfaction, your awareness of the distance between what it says and what you want it to say. That’s what directs you during rewriting, and that’s one of the things lacking when you start with text generated by an A.I.

People are not interested in visiting websites about a topic; they, by and large, just want answers to their questions. Google has been strip-mining the web for years, leveraging its unique position as the world’s most popular website and its de facto directory to replace what made it great with what allows it to retain its dominance.

Artificial intelligence — or some simulation of it — really does make things better for searchers, and I bet it could reduce some tired search optimization tactics. But it comes at the cost of making us all into uncompensated producers for the benefit of trillion-dollar companies like Google and Microsoft.

Search optimization experts have spent years in an adversarial relationship with Google in an attempt to get their clients’ pages to the coveted first page of results, often through means which make results worse for searchers. Artificial intelligence is, it seems, a way out of this mess — but the compromise is that search engines get to take from everyone while giving nothing back. Google has been taking steps in this direction for years: its results page has been increasingly filled with ways of discouraging people from leaving its confines.

my critique of Manjoo’s article specifically and the ongoing privacy hysteria broadly is not simply about definitions or philosophy. It’s about fundamental assumptions. The default state of the Internet is the endless propagation and collection of data: you have to do work to not collect data on one hand, or leave a data trail on the other. This is the exact opposite of how things work in the physical world: there data collection is an explicit positive action, and anonymity the default.

I believe the privacy debate needs to be reset around these three assumptions: Accept that privacy online entails trade-offs; the corollary is that an absolutist approach to privacy is a surefire way to get policy wrong. Keep in mind that the widespread creation and spread of data is inherent to computers and the Internet, and that these qualities have positive as well as negative implications; be wary of what good ideas and positive outcomes are extinguished in the pursuit to stomp out the negative ones. Focus policy on the physical and digital divide. Our behavior online is one thing: we both benefit from the spread of data and should in turn be more wary of those implications. Making what is offline online is quite another.

the metaverse has leaped from science fiction and into our lives. Microsoft, Alibaba, and ByteDance, the parent company of TikTok, have all made significant investments in virtual and augmented reality. Their approaches vary, but their goal is the same: to transform entertainment from something we choose, channel by channel or stream by stream or feed by feed, into something we inhabit.

Dwell in this environment long enough, and it becomes difficult to process the facts of the world through anything except entertainment. We’ve become so accustomed to its heightened atmosphere that the plain old real version of things starts to seem dull by comparison. A weather app recently sent me a push notification offering to tell me about “interesting storms.” I didn’t know I needed my storms to be interesting. Or consider an email I received from TurboTax. It informed me, cheerily, that “we’ve pulled together this year’s best tax moments and created your own personalized tax story.” Here was the entertainment imperative at its most absurd: Even my Form 1040 comes with a highlight reel.

Such examples may seem trivial, harmless—brands being brands. But each invitation to be entertained reinforces an impulse: to seek diversion whenever possible, to avoid tedium at all costs, to privilege the dramatized version of events over the actual one. To live in the metaverse is to expect that life should play out as it does on our screens. And the stakes are anything but trivial. In the metaverse, it is not shocking but entirely fitting that a game-show host and Twitter personality would become president of the United States.

the language of television has come to saturate the way Americans talk about the world around us. People who are deluded, we say, have “lost the plot”; people who have become pariahs have been “canceled.” In earlier ages, people attributed their circumstances to the will of gods and the whims of fate; we attribute ours to the artistic choices of “the writers” and lament that we may be living through America’s final season.

The rise of these hyperreal TV shows coincides with the decline of the institutions that report on the world as it is. The semi-fictions stake their claims while journalism flails.

what Susman called “personality”: charm, likability, the talent to entertain. “The social role demanded of all in the new Culture of Personality was that of a performer,” Susman wrote. “Every American was to become a performing self.”That demand remains. Now, though, the value is not merely interpersonal charm, but the ability to broadcast it to mass audiences. Social media has truly made each of us a performing self. “All the world’s a stage” was once a metaphor; today, it’s a dull description of life in the metaverse

A person, simply trying to get from one place to another, is transformed into a reluctant star of a movie she didn’t know she was in. The dynamics are simple, and stark. The people on our screens look like characters, so we begin to treat them like characters. And characters are, ultimately, expendable; their purpose is to serve the story. When their service is no longer required, they can be written off the show.

The efforts to hold the instigators of the insurrection to account have likewise unfolded as entertainment. “Opinion: January 6 Hearings Could Be a Real-Life Summer Blockbuster,” read a CNN headline in May—the unstated corollary being that if the hearings failed at the box office, they would fail at their purpose. (“Lol no one is watching this,” the account of the Republican members of the House Judiciary Committee tweeted as the hearings were airing, attempting to suggest such a failure.)

In his 1985 book, Amusing Ourselves to Death, the critic Neil Postman described a nation that was losing itself to entertainment. What Newton Minow had called “a vast wasteland” in 1961 had, by the Reagan era, led to what Postman diagnosed as a “vast descent into triviality.” Postman saw a public that confused authority with celebrity, assessing politicians, religious leaders, and educators according not to their wisdom, but to their ability to entertain. He feared that the confusion would continue. He worried that the distinction that informed all others—fact or fiction—would be obliterated in the haze.

Studying societies held in the sway of totalitarian dictators—the very real dystopias of the mid-20th century—Arendt concluded that the ideal subjects of such rule are not the committed believers in the cause. They are instead the people who come to believe in everything and nothing at all: people for whom the distinction between fact and fiction no longer exists.

A republic requires citizens; entertainment requires only an audience.

In a functioning society, “I’m a real person” goes without saying. In ours, it is a desperate plea.

Be transported by our entertainment but not bound by it.

Whereas if you grew up online, the negative attributes of individual humans are immediately disqualifying. The very phrase ad hominem has been rendered obsolete, almost incomprehensible. An argument that is directed against a person, rather than the position they are maintaining? Online a person is the position they’re maintaining and vice versa. Opinions are identities and identities are opinions. Unfollow!

I’m the one severely triggered by statements like “Chaucer is misogynistic” or “Virginia Woolf was a racist.” Not because I can’t see that both statements are partially true, but because I am of that generation whose only real shibboleth was: “Is it interesting?” Into which broad category both evils and flaws could easily be fit, not because you agreed with them personally but because they had the potential to be analyzed, just like anything else

We are by now used to apocalyptic bad guys with the end of the world in mind, but it’s a long time since I went to the movies and saw an accurate representation of an ordinary sinner.

Spotting a hot young cellist, Olga, in the bathroom of her workplace, Tár later recognizes this same young woman’s shoes, peeking out from beneath those screens orchestra directors use to preserve the anonymity of “blind auditions.” Next thing we know Tár has given Olga a seat in her orchestra. Then decides to add Elgar’s Cello Concerto to the program, and to give that prestigious solo to the new girl instead of the first cello. And this move, in turn, allows her to organize a series of one-on-one rehearsals with Olga at that apartment she maintains in the city…There’s a word for this behavior: instrumentalism. Using people as tools. As means rather than ends in themselves. To satisfy your own desire, or your sense of your own power, or simply because you can

Every generation makes new rules. Every generation comes up against the persistent ethical failures of the human animal. But though there may be no permanent transformations in our emotional lives, there can be genuine reframings and new language and laws created to name and/or penalize the ways we tend to hurt each other, and this is a service each generation can perform for the one before.

Every software framework you've ever used is in the abstraction game: it takes a general-purpose tool, picks a specific set of common use-cases, and puts up scaffolding and guard rails that make it easier to build those specific use cases by giving you less to do and fewer choices to think about. The lines between these three are blurry. Popular abstractions become standardizations.

The stories we are launching with draw on themes that have long been part of the Dirt ethos: nostalgia for a smaller internet, the ephemerality of “vibes” and how they manifest on different networks, the infinite ways intellectual property can be adapted across platforms, visually-driven online subcultures, the collapse of “high” and “low” culture, and the imperfect politics of the emerging metaverse.

what stretches ahead is a banal ending that refuses to end: the slow violence of capitalism and climate change, a future of could-haves and should-haves void of capital-M meaning.

A core reason behind this genre’s popular success lies in the fact that it lacks the cloying, naïve quality so often associated with positivity. While this partially stems from the aesthetic and language employed—which, thanks to its poetic tenor, internet avant-garde style, and general high-low approach, reads as more online-experimental for those in-the-know and less cheesy iFunny reposts for Boomers—these would matter little if it weren’t for the honest realism that underpins this trend’s optimism

Unlike the deluded optimism espoused by politicians, technologists, and millionaires—which views progress as linear or believes that technology will save us from ourselves or thinks that watching celebrities sing will solve crisis—this trend, like the pessimists it responds to, recognizes that there seems to be no turning back from the precipice.

The genre positions the exercise and resilience of the “Indomitable Human Spirit” at the scale of a single life at the center of its philosophical optimism—not our ability to save the future, but rather our willingness to try and endure with grace.