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If things are too calm, they start heated discussions and arguments until they've had their fill, exhausting everyone around them with their constant grousing and grumbling. Not all stress is bad, but I think the kind of stress where you're constantly seething at the state of the world around you is simply a waste of time unless it's your business to know. Especially in American politics where so many stories are really reporting on attention-seeking trolls. Don't give them what they want. Stay awake, stay informed, but don't submerge yourself in it until it becomes your whole personality.

File over app is an appeal to tool makers: accept that all software is ephemeral, and give people ownership over their data.

The world is filled with ideas from generations past, transmitted through many mediums, from clay tablets to manuscripts, paintings, sculptures, and tapestries. These artifacts are objects that you can touch, hold, own, store, preserve, and look at. To read something written on paper all you need is eyeballs. Today, we are creating innumerable digital artifacts, but most of these artifacts are out of our control. They are stored on servers, in databases, gated behind an internet connection, and login to a cloud service. Even the files on your hard drive use proprietary formats that make them incompatible with older systems and other tools. Paraphrasing something I wrote recently If you want your writing to still be readable on a computer from the 2060s or 2160s, it’s important that your notes can be read on a computer from the 1960s.

You should want the files you create to be durable, not only for posterity, but also for your future self. You never know when you might want to go back to something you created years or decades ago. Don’t lock your data into a format you can’t retrieve.

The way to figure out what to work on is by working. If you're not sure what to work on, guess. But pick something and get going. You'll probably guess wrong some of the time, but that's fine. It's good to know about multiple things; some of the biggest discoveries come from noticing connections between different fields.

What should your projects be? Whatever seems to you excitingly ambitious. As you grow older and your taste in projects evolves, exciting and important will converge. At 7 it may seem excitingly ambitious to build huge things out of Lego, then at 14 to teach yourself calculus, till at 21 you're starting to explore unanswered questions in physics. But always preserve excitingness.

What are you excessively curious about — curious to a degree that would bore most other people? That's what you're looking for.

If you're excited about some possibility that everyone else ignores, and you have enough expertise to say precisely what they're all overlooking, that's as good a bet as you'll find

Four steps: choose a field, learn enough to get to the frontier, notice gaps, explore promising ones. This is how practically everyone who's done great work has done it, from painters to physicists.

Let's talk a little more about the complicated business of figuring out what to work on. The main reason it's hard is that you can't tell what most kinds of work are like except by doing them. Which means the four steps overlap: you may have to work at something for years before you know how much you like it or how good you are at it. And in the meantime you're not doing, and thus not learning about, most other kinds of work. So in the worst case you choose late based on very incomplete information.

It would be better if they at least admitted it — if they admitted that the system not only can't do much to help you figure out what to work on, but is designed on the assumption that you'll somehow magically guess as a teenager. They don't tell you, but I will: when it comes to figuring out what to work on, you're on your own. Some people get lucky and do guess correctly, but the rest will find themselves scrambling diagonally across tracks laid down on the assumption that everyone does.

The educational systems in most countries pretend it's easy. They expect you to commit to a field long before you could know what it's really like. And as a result an ambitious person on an optimal trajectory will often read to the system as an instance of breakage.

What should you do if you're young and ambitious but don't know what to work on? What you should not do is drift along passively, assuming the problem will solve itself. You need to take action. But there is no systematic procedure you can follow. When you read biographies of people who've done great work, it's remarkable how much luck is involved. They discover what to work on as a result of a chance meeting, or by reading a book they happen to pick up. So you need to make yourself a big target for luck, and the way to do that is to be curious. Try lots of things, meet lots of people, read lots of books, ask lots of questions

a field should become increasingly interesting as you learn more about it. If it doesn't, it's probably not for you.

fields aren't people; you don't owe them any loyalty. If in the course of working on one thing you discover another that's more exciting, don't be afraid to switch.

Obviously the most exciting story to write will be the one you want to read. The reason I mention this case explicitly is that so many people get it wrong. Instead of making what they want, they try to make what some imaginary, more sophisticated audience wants.

There are a lot of forces that will lead you astray when you're trying to figure out what to work on. Pretentiousness, fashion, fear, money, politics, other people's wishes, eminent frauds. But if you stick to what you find genuinely interesting, you'll be proof against all of them. If you're interested, you're not astray.

Instead of making a plan and then executing it, you just try to preserve certain invariants.The trouble with planning is that it only works for achievements you can describe in advance.

I think for most people who want to do great work, the right strategy is not to plan too much. At each stage do whatever seems most interesting and gives you the best options for the future.

while you must work hard, it's possible to work too hard, and if you do that you'll find you get diminishing returns: fatigue will make you stupid, and eventually even damage your health. The point at which work yields diminishing returns depends on the type. Some of the hardest types you might only be able to do for four or five hours a day.

It will probably be harder to start working than to keep working. You'll often have to trick yourself to get over that initial threshold. Don't worry about this; it's the nature of work, not a flaw in your character. Work has a sort of activation energy, both per day and per project. And since this threshold is fake in the sense that it's higher than the energy required to keep going, it's ok to tell yourself a lie of corresponding magnitude to get over it.

When I'm reluctant to start work in the morning, I often trick myself by saying "I'll just read over what I've got so far." Five minutes later I've found something that seems mistaken or incomplete, and I'm off.Similar techniques work for starting new projects. It's ok to lie to yourself about how much work a project will entail, for example. Lots of great things began with someone saying "How hard could it be?"

Per-project procrastination is far the more dangerous. You put off starting that ambitious project from year to year because the time isn't quite right. When you're procrastinating in units of years, you can get a lot not done

One reason per-project procrastination is so dangerous is that it usually camouflages itself as work. You're not just sitting around doing nothing; you're working industriously on something else. So per-project procrastination doesn't set off the alarms that per-day procrastination does. You're too busy to notice it.The way to beat it is to stop occasionally and ask yourself: Am I working on what I most want to work on?" When you're young it's ok if the answer is sometimes no, but this gets increasingly dangerous as you get older.

People who do great things don't get a lot done every day. They get something done, rather than nothing.

Though it might seem like you'd be taking on a heavy burden by trying to be the best, in practice you often end up net ahead. It's exciting, and also strangely liberating. It simplifies things. In some ways it's easier to try to be the best than to try merely to be good.

Style is doing things in a distinctive way without trying to. Trying to is affectation.Affectation is in effect to pretend that someone other than you is doing the work. You adopt an impressive but fake persona, and while you're pleased with the impressiveness, the fakeness is what shows in the work

The temptation to be someone else is greatest for the young. They often feel like nobodies. But you never need to worry about that problem, because it's self-solving if you work on sufficiently ambitious projects. If you succeed at an ambitious project, you're not a nobody; you're the person who did it. So just do the work and your identity will take care of itself.

any energy that goes into how you seem comes out of being good. That's one reason nerds have an advantage in doing great work: they expend little effort on seeming anything. In fact that's basically the definition of a nerd.Nerds have a kind of innocent boldness that's exactly what you need in doing great work. It's not learned; it's preserved from childhood. So hold onto it. Be the one who puts things out there rather than the one who sits back and offers sophisticated-sounding criticisms of them. "It's easy to criticize" is true in the most literal sense, and the route to great work is never easy.

When you're doing work that could be seen as either creation or discovery, err on the side of discovery. Try thinking of yourself as a mere conduit through which the ideas take their natural shape.

Laborious solutions will often have more prestige in the short term. They cost a lot of effort and they're hard to understand, both of which impress people, at least temporarily.

if you're trying to build a powerful tool, make it gratuitously unrestrictive. A powerful tool almost by definition will be used in ways you didn't expect, so err on the side of eliminating restrictions, even if you don't know what the benefit will be.

Great work will often be tool-like in the sense of being something others build on. So it's a good sign if you're creating ideas that others could use, or exposing questions that others could answer. The best ideas have implications in many different areas.If you express your ideas in the most general form, they'll be truer than you intended.

Talking or writing about the things you're interested in is a good way to generate new ideas. When you try to put ideas into words, a missing idea creates a sort of vacuum that draws it out of you. Indeed, there's a kind of thinking that can only be done by writing.

Don't divide your attention evenly between many topics though, or you'll spread yourself too thin. You want to distribute it according to something more like a power law. [17] Be professionally curious about a few topics and idly curious about many more.

Curiosity and originality are closely related. Curiosity feeds originality by giving it new things to work on. But the relationship is closer than that. Curiosity is itself a kind of originality; it's roughly to questions what originality is to answers. And since questions at their best are a big component of answers, curiosity at its best is a creative force

One way to discover broken models is to be stricter than other people. Broken models of the world leave a trail of clues where they bash against reality. Most people don't want to see these clues. It would be an understatement to say that they're attached to their current model; it's what they think in; so they'll tend to ignore the trail of clues left by its breakage, however conspicuous it may seem in retrospect.

new ideas seem much more conservative once they succeed. They seem perfectly reasonable once you're using the new model of the world they brought with them. But they didn't at the time; it took the greater part of a century for the heliocentric model to be generally accepted, even among astronomers, because it felt so wrong.

Often ideas that seem bad are bad. But ideas that are the right kind of crazy tend to be exciting; they're rich in implications; whereas ideas that are merely bad tend to be depressing.

The aggressively independent-minded are the naughty ones. Rules don't merely fail to stop them; breaking rules gives them additional energy. For this sort of person, delight at the sheer audacity of a project sometimes supplies enough activation energy to get it started.The other way to break rules is not to care about them, or perhaps even to know they exist. This is why novices and outsiders often make new discoveries; their ignorance of a field's assumptions acts as a source of temporary passive independent-mindedness.

What are people in your field religious about, in the sense of being too attached to some principle that might not be as self-evident as they think? What becomes possible if you discard it?

People think big ideas are answers, but often the real insight was in the question.Part of the reason we underrate questions is the way they're used in schools. In schools they tend to exist only briefly before being answered, like unstable particles. But a really good question can be much more than that. A really good question is a partial discovery. How do new species arise? Is the force that makes objects fall to earth the same as the one that keeps planets in their orbits? By even asking such questions you were already in excitingly novel territory.

Unanswered questions can be uncomfortable things to carry around with you. But the more you're carrying, the greater the chance of noticing a solution — or perhaps even more excitingly, noticing that two unanswered questions are the same

Think about what's happening at the moment just before a new idea is discovered. Often someone with sufficient expertise is puzzled about something. Which means that originality consists partly of puzzlement — of confusion! You have to be comfortable enough with the world being full of puzzles that you're willing to see them, but not so comfortable that you don't want to solve them

don't require a question to be obviously big before you try answering it. You can rarely predict that. It's hard enough even to notice the thread, let alone to predict how much will unravel if you pull on it.It's better to be promiscuously curious — to pull a little bit on a lot of threads, and see what happens. Big things start small. The initial versions of big things were often just experiments, or side projects, or talks, which then grew into something bigger. So start lots of small things

Though it sounds more responsible to begin by studying everything that's been done before, you'll learn faster and have more fun by trying stuff. And you'll understand previous work better when you do look at it. So err on the side of starting.

It's particularly useful to make successive versions when you're making something for people — to get an initial version in front of them quickly, and then evolve it based on their response.Begin by trying the simplest thing that could possibly work. Surprisingly often, it does. If it doesn't, this will at least get you started.

An early version of a new project will sometimes be dismissed as a toy. It's a good sign when people do this. That means it has everything a new idea needs except scale, and that tends to follow

Though conservatism is usually associated with the old, it's the young who tend to make this mistake. Inexperience makes them fear risk, but it's when you're young that you can afford the most.

Use the advantages of youth when you have them, and the advantages of age once you have those. The advantages of youth are energy, time, optimism, and freedom. The advantages of age are knowledge, efficiency, money, and power. With effort you can acquire some of the latter when young and keep some of the former when old.

The young have no idea how rich they are in time. The best way to turn this time to advantage is to use it in slightly frivolous ways: to learn about something you don't need to know about, just out of curiosity, or to try building something just because it would be cool, or to become freakishly good at something.

If you're still in school, try thinking of your education as your project, and your teachers as working for you rather than vice versa

The best teachers don't want to be your bosses. They'd prefer it if you pushed ahead, using them as a source of advice, rather than being pulled by them through the material.

Don't think of yourself as dependent on some gatekeeper giving you a "big break." Even if this were true, the best way to get it would be to focus on doing good work rather than chasing influential people.

New discoveries often have to be conceived initially as variations of existing things, even by their discoverers, because there isn't yet the conceptual vocabulary to express them.

One of the most powerful kinds of copying is to copy something from one field into another. History is so full of chance discoveries of this type that it's probably worth giving chance a hand by deliberately learning about other kinds of work. You can take ideas from quite distant fields if you let them be metaphors.

Negative examples can be as inspiring as positive ones. In fact you can sometimes learn more from things done badly than from things done well; sometimes it only becomes clear what's needed when it's missing

If you're earnest you'll probably get a warmer welcome than you might expect. Most people who are very good at something are happy to talk about it with anyone who's genuinely interested. If they're really good at their work, then they probably have a hobbyist's interest in it, and hobbyists always want to talk about their hobbies.

Colleagues don't just affect your work, though; they also affect you. So work with people you want to become like, because you will.

sufficiently good colleagues offer surprising insights. They can see and do things that you can't. So if you have a handful of colleagues good enough to keep you on your toes in this sense, you're probably over the threshold.

Among the most eye-opening details in this article, about one-fifth of the value of U.S. online orders are returned every year. That is an enormous amount of waste — potential and realized.

Unfortunately, all definitions are tautologies—look up any word in the dictionary, read its definition, and then look up the words within that definition in the very same dictionary. Keep repeating this until you arrive back where you started.So we must give examples, and allow the brain to work the magic it does when it goes beyond words and sniffs out vibes.Simple cases: taking a Zoom call in your home office. Pajamas underneath a suit jacket, just out of frame. There are trees out the window. Another example: sitting on a porch, laptop in lap, a drink within reach.

Within capitalism it is always the secret dream of the bourgeois to transform, swan-like, into aristocrats. And if we are to judge by the housing market, something like high-tech pastoral is now the new bourgeois life target. For millennials, it is the out people are taking.

Users rely on drug dealers for ecstasy and most other psychedelics, or in elite cases, they employ chemists. One prolific drug dealer in San Francisco who serves a slice of the tech world is known as “Costco” because users can buy bulk at a discount, according to people familiar with the business. “Cuddle puddles,” which feature groups of people embracing and showing platonic affection, have become standard fare.

Inside an online platform everything, even reality, is just content and content just begets more content. And in a world run by big platforms, a person’s post becomes discourse, discourse creates memes, memes inspire a fandom, and fandoms become social movements. And over the last decade, as platforms flattened everything into content, most news publishers, hiding behind antiquated ideas about objectivity and made desperate from vanishing ad revenue, allowed themselves to be flattened, as well. And now, even though they don’t think of themselves as a competing news fandoms, they absolutely are.

I don’t think the way people react to news stories in 2023 is all that different from how it’s ever been. Here are two great threads comparing funny mean-spirited reactions to the Titanic sinking to the similar memes everyone made this month about the imploded submarine billionaires. But now, if you don’t like what’s in the newspaper you can just write your own thing and get more readers than it did.

Can’t possibly comprehend that extreme levels of wealth created an environment of arrogance that led to a submarine vaporizing a bunch of guys in the middle of the ocean? Just tweet that that’s not actually what happened. The fact the Russian coup didn’t even last a full day and no one got arrested sounds suspicious to you? Easy. Just make up something else.

Eventually every platform wanted the same kind of content, but to fit specific algorithms and specific demographics, which no one would bother to do, so the same videos just got posted everywhere until none of the networks felt distinct from each other and every site just pivoted away from the whole idea.

With the comprehensive application of Artificial Intelligence into the creation and post production of images, it seems questionable if the resulting visualisations can still be considered ‘photographs’ in a classical sense – drawing with light. Automation has been part of the popular strain of photography since its inception, but even the amateurs with only basic knowledge of the craft could understand themselves as author of their images. We state a legitimation crisis for the current usage of the term. This paper is an invitation to consider Synthography as a term for a new genre for image production based on AI, observing the current occurrence and implementation in consumer cameras and post-production.

The proliferation of AI-generated images in online environments won’t eradicate human art wholesale, but it does represent a reshuffling of the market incentives that help creative economies flourish. Like the college essay, another genre of human creativity threatened by AI usurpation, creative “products” might become more about process than about art as a commodity.

Are artists using computer software on iPads to make seemingly hand-painted images engaged in a less creative process than those who produce the image by hand? We can certainly judge one as more meritorious than the other but claiming that one is more original is harder to defend.

An understanding of the technology as one that separates human from machine into distinct categories leaves little room for the messier ways we often fit together with our tools. AI-generated images will have a big impact on copyright law, but the cultural backlash against the “computers making art” overlooks the ways computation has already been incorporated into the arts.

The problem with debates around AI-generated images that demonize the tool is that the displacement of human-made art doesn’t have to be an inevitability. Markets can be adjusted to mitigate unemployment in changing economic landscapes. As legal scholar Ewan McGaughey points out, 42% of English workers were redundant after WWII — and yet the U.K. managed to maintain full employment.

Contemporary critics claim that prompt engineering and synthography aren’t emergent professions but euphemisms necessary to equate AI-generated artwork with the work of human artists. As with the development of photography as a medium, today’s debates about AI often overlook how conceptions of human creativity are themselves shaped by commercialization and labor.

Others looking to elevate AI art’s status alongside other forms of digital art are opting for an even loftier rebrand: “synthography.” This categorization suggests a process more complex than the mechanical operation of a picture-making tool, invoking the active synthesis of disparate aesthetic elements. Like Fox Talbot and his contemporaries in the nineteenth century, “synthographers” maintain that AI art simply automates the most time-consuming parts of drawing and painting, freeing up human cognition for higher-order creativity.

Separating human from camera was a necessary part of preserving the myth of the camera as an impartial form of vision. To incorporate photography into an economic landscape of creativity, however, human agency needed to ascribe to all parts of the process.

Consciously or not, proponents of AI-generated images stamp the tool with rhetoric that mirrors the democratic aspirations of the twenty-first century.

Stability AI took a similar tack, billing itself as “AI by the people, for the people,” despite turning Stable Diffusion, their text-to-image model, into a profitable asset. That the program is easy to use is another selling point. Would-be digital artists no longer need to use expensive specialized software to produce visually interesting material.

Meanwhile, communities of digital artists and their supporters claim that the reason AI-generated images are compelling at all is because they were trained with data sets that contained copyrighted material. They reject the claim that AI-generated art produces anything original and suggest it instead be thought of as a form of “twenty-first century collage.”

Erasing human influence from the photographic process was good for underscoring arguments about objectivity, but it complicated commercial viability. Ownership would need to be determined if photographs were to circulate as a new form of property. Was the true author of a photograph the camera or its human operator?

By reframing photographs as les dessins photographiques — or photographic drawings, the plaintiffs successfully established that the development of photographs in a darkroom was part of an operator’s creative process. In addition to setting up a shot, the photographer needed to coax the image from the camera’s film in a process resembling the creative output of drawing. The camera was a pencil capable of drawing with light and photosensitive surfaces, but held and directed by a human author.

Establishing photography’s dual function as both artwork and document may not have been philosophically straightforward, but it staved off a surge of harder questions.

Human intervention in the photographic process still appeared to happen only on the ends — in setup and then development — instead of continuously throughout the image-making process.

Google is trying to kill the 10 blue links. Twitter is being abandoned to bots and blue ticks. There’s the junkification of Amazon and the enshittification of TikTok. Layoffs are gutting online media. A job posting looking for an “AI editor” expects “output of 200 to 250 articles per week.” ChatGPT is being used to generate whole spam sites. Etsy is flooded with “AI-generated junk.” Chatbots cite one another in a misinformation ouroboros. LinkedIn is using AI to stimulate tired users. Snapchat and Instagram hope bots will talk to you when your friends don’t. Redditors are staging blackouts. Stack Overflow mods are on strike. The Internet Archive is fighting off data scrapers, and “AI is tearing Wikipedia apart.”

it’s people who ultimately create the underlying data — whether that’s journalists picking up the phone and checking facts or Reddit users who have had exactly that battery issue with the new DeWalt cordless ratchet and are happy to tell you how they fixed it. By contrast, the information produced by AI language models and chatbots is often incorrect. The tricky thing is that when it’s wrong, it’s wrong in ways that are difficult to spot.

The resulting write-up is basic and predictable. (You can read it here.) It lists five companies, including Columbia, Salomon, and Merrell, along with bullet points that supposedly outline the pros and cons of their products. “Columbia is a well-known and reputable brand for outdoor gear and footwear,” we’re told. “Their waterproof shoes come in various styles” and “their prices are competitive in the market.” You might look at this and think it’s so trite as to be basically useless (and you’d be right), but the information is also subtly wrong.

It’s fluent but not grounded in real-world experience, and so it takes time and expertise to unpick.

Prompt engineers not only need to get the model to respond to a given question but also structure the output in a parsable way (such as JSON), in case it needs to be rendered in some UI components or be chained into the input of a future LLM query. They scaffold the raw input that is fed into an LLM so the end user doesn’t need to spend time thinking about prompting at all.

From the user’s side, it’s hard to decide what to ask while providing the right amount of context.From the developer’s side, two problems arise. It’s hard to monitor natural language queries and understand how users are interacting with your product. It’s also hard to guarantee that an LLM can successfully complete an arbitrary query. This is especially true for agentic workflows, which are incredibly brittle in practice.

When we speak to other people, there is a shared context that we communicate under. We’re not just exchanging words, but a larger information stream that also includes intonation while speaking, hand gestures, memories of each other, and more. LLMs unfortunately cannot understand most of this context and therefore, can only do as much as is described by the prompt

most people use LLMs for ~4 basic natural language tasks, rarely taking advantage of the conversational back-and-forth built into chat systems:Summarization: Summarizing a large amount of information or text into a concise yet comprehensive summary. This is useful for quickly digesting information from long articles, documents or conversations. An AI system needs to understand the key ideas, concepts and themes to produce a good summary.ELI5 (Explain Like I'm 5): Explaining a complex concept in a simple, easy-to-understand manner without any jargon. The goal is to make an explanation clear and simple enough for a broad, non-expert audience.Perspectives: Providing multiple perspectives or opinions on a topic. This could include personal perspectives from various stakeholders, experts with different viewpoints, or just a range of ways a topic can be interpreted based on different experiences and backgrounds. In other words, “what would ___ do?”Contextual Responses: Responding to a user or situation in an appropriate, contextualized manner (via email, message, etc.). Contextual responses should feel organic and on-topic, as if provided by another person participating in the same conversation.

Prompting nearly always gets in the way because it requires the user to think. End users ultimately do not wish to confront an empty text box in accomplishing their goals. Buttons and other interactive design elements make life easier.The interface makes all the difference in crafting an AI system that augments and amplifies human capabilities rather than adding additional cognitive load.Similar to standup comedy, delightful LLM-powered experiences require a subversion of expectation.

Users will expect the usual drudge of drafting an email or searching for a nearby restaurant, but instead will be surprised by the amount of work that has already been done for them from the moment that their intent is made clear. For example, it would a great experience to discover pre-written email drafts or carefully crafted restaurant and meal recommendations that match your personal taste.If you still need to use a text input box, at a minimum, also provide some buttons to auto-fill the prompt box. The buttons can pass LLM-generated questions to the prompt box.

If you are wondering whether Barbie is a satire of a toy company’s capitalist ambitions, a searing indictment of the current fraught state of gender relations, a heartwarming if occasionally clichéd tribute to girl power, or a musical spectacle filled with earworms from Nicki Minaj and Dua Lipa, the answer is yes. All of the above. And then some.

Gerwig still can’t seem to believe she got away with making this version. “This movie is a goddamn miracle,” she says. She calls it a “surprising spicy margarita.” By the time you realize the salted rim has cayenne mixed in, it’s too late. “You can already taste the sweetness and you sort of go with the spice.”

Every single actor I spoke to cited Gerwig and the sharp script as the reason they joined the film. “I knew this was not going to shy away from the parts of Barbie that are more interesting but potentially a little bit more fraught,” says Hari Nef, who plays a doctor Barbie. “The contemporary history of feminism and body positivity—there are questions of how Barbie can fit into all of that.”

At one point Richard Dickson, COO and president of Mattel, says he took a flight to the London set to argue with Gerwig and Robbie over a particular scene, which he felt was off-brand. Dickson dials up his natural boyish exuberance, imitating himself righteously marching off the plane to meet them. But Gerwig and Robbie performed the scene for him and changed his mind. “When you look on the page, the nuance isn’t there, the delivery isn’t there,” explains Robbie.

Robbie had laid the groundwork for this with Mattel’s CEO when she met with him in 2018 in the hopes that LuckyChap could take on the Barbie project. “In that very first meeting, we impressed upon Ynon we are going to honor the legacy of your brand, but if we don’t acknowledge certain things—if we don’t say it, someone else is going to say it,” she says. “So you might as well be a part of that conversation.”

“The most important transition was from being a toy-manufacturing company that was making items to becoming an IP company that is managing franchises,” he says. It’s a particularly prescient strategy at a moment when superhero fatigue has set in and studios are desperate to find new intellectual property with a built-in fan base—from Super Mario Bros. to Dungeons & Dragons.

Issa Rae, 38, who plays President Barbie, argues that the entire point of the film is to portray a world in which there isn’t a singular ideal. “My worry was that it was going to feel too white feminist-y, but I think that it’s self-aware,” she says. “Barbie Land is perfect, right? It represents perfection. So if perfection is just a bunch of white Barbies, I don’t know that anybody can get on board with that.”

Still, in an interview for this story, Brenner called Gerwig’s film “not a feminist movie,” a sentiment echoed by other Mattel executives I spoke with. It was a striking contrast to my interpretation of the film and conversations with many of the actors, who used that term unprompted to describe the script. When I relay Mattel’s words to Robbie, she raises an eyebrow. “Who said that?” she asks then sighs. “It’s not that it is or it isn’t. It’s a movie. It’s a movie that’s got so much in it.” The bigger point, Robbie impresses upon me, is “we’re in on the joke. This isn’t a Barbie puff piece.”

Gerwig’s team built an entire neighborhood made up of Dream Houses that were missing walls. The actors had to be secured by wires so they wouldn’t topple off the second floors. The skies and clouds in the background were hand-painted to render a playroom-like quality, as was much of the rest of the set.

But McKinnon, 39, watched her sister and friends play with the dolls: they cut Barbie’s hair, drew on her face, and even set her on fire. She theorizes, “They were externalizing how they felt, and they felt different.” So when Gerwig offered McKinnon the role of Weird Barbie, a doll that’s been played with a little too aggressively in the real world, she jumped at the chance. McKinnon was impressed by the way the script dealt with girls’ complicated attachments to the doll. “It comments honestly about the positive and negative feelings,” she says. “It’s an incisive cultural critique.”

“We’re looking to create movies that become cultural events,” Kreiz says, and to do that Mattel needs visionaries to produce something more intriguing than a toy ad. “If you can excite filmmakers like Greta and Noah to embrace the opportunity and have creative freedom, you can have a real impact.”

Secure energy is prerequisite to the prosperity that lifts people out of poverty.  At the same time, we want to protect the environment while providing this secure energy.  Achieving that will require competing interests to play together in the “radical middle” where conflicting goals collide around energy, the economy and the environment.

More than half of what we consume in the world today is made in countries that use coal to make it. So, we sometimes close our ears and eyes, and say, “We’re green. Just keep making our stuff over there and we’ll buy it on Amazon and have it delivered to our door one small thing at a time.” This is not good for the climate.

Emissions in Asia go into the one unique atmosphere that we all share, and by not reducing our consumption of products, we are simply moving the source of those emissions far away.

Kale is healthy, but it is not dense calorically, so you would have to eat a lot of it. Beef is dense with calories to sustain life, but too much of it is not all that healthy. Wind and solar and hydroelectric power are like kale, ideal if only you could live on the energy it provides.  Coal and oil and natural gas and nuclear power are like cow, less benign, but energy dense. Not just a little denser. Several hundred times denser.

anyone claiming that I'm biased in describing climate change as driven by humans is actually experiencing what Daniel Stone (in our subscribers-only interview) called "affective polarization:" "So if you dislike someone, you're not going to admit they're right, even if the evidence is really clear they're right. It's sort of another example of how polarization drives inefficiency. It could stop us from implementing policies that we would agree on otherwise."

We know what factors drive the Earth's heating/cooling cycles. We know that our planet receives energy from the sun, radiates heat to the atmosphere, and that our atmosphere has certain "greenhouse gasses" that re-radiate that heat back to Earth. In other words, we know that heating/cooling cycles are driven by changes in energy coming in (solar cycle and Earth orbit), changes to the Earth's surface (ice cover, plant cover, and other life) that affect energy going out, and changes to the Earth's greenhouse gasses (concentration of CO2, CH4, water vapor, and others in our atmosphere) that affect energy retention. We can measure those factors today. We have a very good understanding of the solar cycle and our Earth's orbit. We have a very good understanding of our planet's surface. And we have a very good understanding of historical changes to the atmosphere, through ice core data and direct atmospheric measurement. Of the factors that contribute to warming, it's very apparent that only greenhouse gasses have increased over the past century to any significant degree (and the degree of increase is very significant). We are aware of what's causing those factors to increase. The long-lived greenhouse gasses in our atmosphere that keep our planet warm eventually return to the earth, and again to the atmosphere, through a process called the carbon cycle. Many things contribute to this cycle, and there are a lot of great arguments that support that the excess carbon is anthropogenic. One of the best arguments is that the proportion of carbon isotopes in the atmosphere is consistent with an increase in the carbon from organic matter (i.e. burned fossil fuels), and that the increase of these isotopes began with the Industrial Revolution and has increased ever since. The Earth is getting warmer. There is essentially unanimous consensus that the Earth has been warming over the past 100 years.

I think suggesting that the identifiable excess emissions from human activity are not causing the definite increase in global warming is kind of like saying, "sure, there have been a lot more deaths from car accidents after the invention of the automobile, but hey — who can say if that has anything to do with cars? People have been dying in accidents forever."

I think there are a million things to be discouraged about in the world, but I do think that the progress being made on "what it means to be a man" is moving in the right direction. It's clear men can be terrible, and the last decade in particular has had several movements root out some of the worst offenders, but I truly think all of us no matter our gender are more alike than we've historically thought, and the more we recognize that the better off we'll be.