I find myself rethinking "minimum". Instead of asking, What's the least we can do to launch? I'm asking, What's the least we can do to make people love this?

Half-baked functionality is not enough in an age where AI accelerates the product development lifecycle—people want experiences that feel intuitive, engaging, and yes, delightful.

Sometimes, it's the smallest things—a clever animation, seamless usability, or a thoughtful touch—that leave a lasting impression. An MDP isn't about perfection; it's about ensuring even the simplest version of a product creates joy. In a world of endless options, delight isn't a bonus; it's a competitive advantage.

This “undulant interface” was made by John Underkoffler. The heresy implicit within [1] is the premise that the user, not the system, gets to define what is most important at any given moment; where to place the jeweler’s loupes for more detail, and where to show only a simple overview, within one consistent interface. Notice how when a component is expanded for more detail, the surrounding elements adjust their position, so the increased detail remains in the broader context. This contrasts sharply with how we get more detail in mainstream interfaces of the day, where modal popups obscure surrounding context, or separate screens replace it entirely. Being able to adjust the detail of different components within the singular context allows users to shape the interfaces they need in each moment of their work.

Pushing towards this style of interaction could show up in many parts of an itemized personal computing environment: when moving in and out of sets, single items, or attributes and references within items.

everyone has unique needs and context, yet that which makes our lives more unique makes today’s rigid software interfaces more frustrating to use. How might Colin use the gestural, itemized interface, combined with semantic zoom on this plethora of data, to elicit the interfaces and answers he’s looking for with his data?

since workout items each have data with associated timestamps and locations, the system knows it can offer both a timeline and map view. And since the items are of one kind, it knows it can offer a table view. Instead of selecting one view to switch to, as we first explored in LN 006, we could drag them into the space to have multiple open at once.

As the email item view gets bigger, the preview text of the email’s contents eventually turns into the fully-rendered email. At smaller sizes, this view makes less sense, so the system can swap it out for the preview text as needed.

Then find a designer who is a thinker, who has product, customer, and business sense and has the ability to create work for the problem at hand (not just emulate visual trends or other companies). This isn’t a unicorn — this is what good design is.

Now that I have more of an understanding of filmmaking and an understanding of costume within film, it’s helped me build a team around it—and I would like to continue doing it, because for me, it’s a great escape from my job. It helps me balance out a bit, and being creative without the commerce element feels like a very different exercise—it’s about characterization, and there’s no preciousness around it representing just one vision.

That’s what I love about very good cinema: Those textures you find in the 1950s or ’60s with the clothing—it’s never just a flat surface. You have Lee, played by Daniel, at the beginning wearing this shirt that’s optic white…. [There’s] this idea of it being pristine, like cocaine. By the end of it, after his heroin trip and everything else getting darker and darker, it becomes dirtier…. I like following those threads. With costume, you can do things like that which are more subtle, whereas sometimes with fashion, it has to be loud for people to grab on. In film, you have to lure the audience in and let them know who the character is in a way that unfolds. It’s not about the bang of fashion where it’s a 15-minute show that has to sell you this one idea.

What I find amazing about these pieces is that, as you said, they could be plucked out of a store today, and I did quite like having those things in the film—because sometimes we feel like we’re inventing everything now, but then you realize there were people in the past who were even further ahead than we are.

As the creative director of a fashion house—or two fashion houses—you’re always the decision-maker and the person everyone is turning to to weigh in on everything and have the final say. Working as the costume designer, did it feel pleasant to relinquish that total control for a little while? Yes, I enjoy it. It’s quite nice sometimes to be submissive in life. [Laughs.] I quite like not being in that driving seat all the time, because it makes you think differently when you’re back in the driving seat. I think it’s really helped me with my journey within fashion. It’s nice to restart—it keeps your feet on the ground. I think, in fashion, it’s very easy to levitate off the ground. It helped me to rechallenge myself, and to have those moments in Rome where I really felt like a student again, saying, “I don’t know how this works—but how do I make it work?”

I think with Loewe, for example, it might have affected the way I really reduced the menswear down in the recent show. It became a form of textural classicism—very precise. And I think Allerton may have inspired this idea of building a perfection that is almost like an armor, but then ultimately, you see that there are holes in it—in the trouser, in the sweater. It all looks very together at first, but then you realize it’s not.

I think it’s really important for me to keep doing my day job, because it sharpens my knife outside of it. And I think they can dovetail into one another.

We were actually introduced by Karla Otto. It was one of those meetings where I felt like I had known Luca all my life. We were meant to just have a coffee, but then we chatted all afternoon. I just feel like we are searching for the same things but in different fields, so it’s really nice to be able to collaborate in this way—which requires a huge amount of trust in each other—but pushing each other too. And there are not many people, I think, who understand clothing as deeply as Luca does.

I think Allerton may have inspired this idea of building a perfection that is almost like an armor, but then ultimately, you see that there are holes in it—in the trouser, in the sweater. It all looks very together at first, but then you realize it’s not.

there were plenty of memorable moments for Jonathan Anderson—but few were quite as awe-inspiring as his first day of filming, walking through the back lot of Rome’s legendary Cinecittà Studios. “One of my favorite films is Sunset Boulevard, and it reminded me of the scene when Norma goes to the studios, and there’s just cinema happening,” Anderson says over Zoom from Los Angeles, where Queer had premiered the night before, with genuine wide-eyed wonderment. “You enter into one of those dark spaces and find a stage lit as a 1950s Mexican street. Then you’re in the middle of the jungle. If you were to ask a child what cinema is, it would be this.”

Taste has historically been reserved for conversation about things like fashion and art. Now, we look for it in our social media feeds, the technology we use, the company we keep, and the people we hire.

When I ask people what they mean by “taste,” they’ll stumble around for a bit and eventually land on something like “you know it when you see it,” or “it’s in the eye of the beholder.” I understand. Words like taste are hard to pin down, perhaps because they describe a sensibility more than any particular quality, a particular thing. We’re inclined to leave them unencumbered by a definition, to preserve their ability to shift shapes.

’ve found a taste-filled life to be a richer one. To pursue it is to appreciate ourselves, each other, and the stuff we’re surrounded by a whole lot more.

I can’t think of a piece of writing that does this more effectively than Susan Sontag’s “Notes on ‘Camp.’” In her words, “a sensibility is one of the hardest things to talk about... To snare a sensibility in words, especially one that is alive and powerful, one must be tentative and nimble.

Things don’t feel tasteful, they demonstrate taste. Someone’s home can be decorated tastefully. Someone can dress tastefully. The vibe cannot be tasteful. The experience cannot be tasteful.

Someone could have impeccable taste in art, without producing any themselves. Those who create tasteful things are almost always deep appreciators, though.

we typically talk about it in binaries. One can have taste or not. Great taste means almost the same thing as taste.

They’re the people you always go to for restaurant or movie or gear recommendations. Maybe it’s the person you ask to be an extra set of eyes on an email or a project brief before you send it out.

It requires intention, focus, and care. Taste is a commitment to a state of attention.

As John Saltivier says in an essay about building a set of stairs, “surprising detail is a near universal property of getting up close and personal with reality.”

To quote Susan Sontag again, “There is taste in people, visual taste, taste in emotion — and there is taste in acts, taste in morality. Intelligence, as well, is really a kind of taste: taste in ideas. One of the facts to be reckoned with is that taste tends to develop very unevenly. It's rare that the same person has good visual taste and good taste in people and taste in ideas.” The sought-after interior designer may not mind gas station coffee. The prolific composer may not give a damn about how they dress.

Taste in too many things would be tortuous. The things we have taste in often start as a pea under the mattress.

it is often formed through the integration of diverse, and wide-ranging inputs. Steve Jobs has said, “I think part of what made the Macintosh great was that the people working on it were musicians and poets and artists and zoologists and historians who also happened to be the best computer scientists in the world.”

taste gets you to the thing that’s more than just correct. Taste hits different. It intrigues. It compels. It moves. It enchants. It fascinates. It seduces.

Taste honors someone’s standards of quality, but also the distinctive way the world bounces off a person. It reflects what they know about how the world works, and also what they’re working with in their inner worlds. When we recognize  true taste, we are recognizing that alchemic combination of skill and soul. This is why it is so alluring.

many snobs (coffee snobs, gear snobs, wine snobs, etc.) often have great taste. But I would say that taste is the sensibility, and snobbery is one way to express the sensibility. It’s not the only way.

If rich people often have good taste it’s because they grew up around nice things, and many of them acquired an intolerance for not nice things as a result. That’s a good recipe for taste, but it’s not sufficient and it’s definitely not a guarantee. I know people that are exceedingly picky about the food they eat and never pay more than $20 for a meal.

creating forces taste upon its maker. Creators must master self-expression and craft if they’re going to make something truly compelling.

artists are more sensitive. They’re more observant, feel things more deeply, more obsessive about details, more focused on how they measure up to greatness.

Picasso remarking that “when art critics get together they talk about Form and Structure and Meaning. When artists get together they talk about where you can buy cheap turpentine.” Taste rests on turpentine.

the process of metabolizing the world is a slow one. Wield your P/N meter well, take your time learning what you find compelling, and why. There are no shortcuts to taste. Taste cannot sublimate. It can only bloom. To quote Susan Sontag one last time, “taste has no system and no proofs. But there is something like a logic of taste: the consistent sensibility which underlies and gives rise to a certain taste.

Wealthy tech executives spending their fortunes on real estate or more imaginative adventures is a staple of Silicon Valley culture. Some buy islands, others build yachts longer than a football field or fund quixotic flying car projects. Mr. Ive’s fixation on a single city block, by comparison, seems modest.

At LoveFrom, he has tried to trust his instincts. Buying one building led to buying another. A discussion about a new yarn led to his first fashion apparel. Work with one client, Brian Chesky, the chief executive of Airbnb, led to meeting Sam Altman, the chief executive of OpenAI.

He bought it for $8.5 million and discovered its backdoor led to a parking lot encircled by the block’s buildings. He wanted to turn the parking lot into a green space, but learned that he needed to own another building on the block to control the parking lot. So a year later, he bought a neighboring, 33,000-square-foot building for $17 million.

Mr. Weeks cringed. San Francisco’s commercial real estate market would crash during the pandemic, and more than a third of its offices remain vacant. “I don’t really think you need to do that,” Mr. Weeks told Mr. Ive. “I can get you office space.”

worries faded after neighbors met Mr. Ive. He offered to reduce some tenants’ rents, did free design work for others and won over Mr. Peskin, a frequent critic of development in his district, with his plans to preserve the existing buildings.

Over five years, Mr. Ive and Mr. Newson hired architects, graphic designers, writers and a cinematic special effects developer who work across three areas: work for the love of it, which they do without pay; work for clients, which includes Airbnb and Ferrari; and work for themselves, which includes the building renovation.

The project has given Mr. Elkann an appreciation for LoveFrom’s process. In January, he visited the firm’s studio for an hourslong meeting about the car’s steering wheel. He listened as Mr. Ive and others talked about the appropriate steering wheel length and how a driver should hold it. Ferrari’s chief test driver tested an early prototype of the wheel, which borrowed design elements from the company’s sports car and racecar history, to assess how it would perform. “Paying attention to the steering wheel in a car that you want to drive and what the physicality of what that means is something that Jony was very clear about,” Mr. Elkann said. He added that the result is “something really, really different.”

The useful thing about defining good design as a form-context fit is that it tells you where you will find the form. The form is in the context. To find a good relationship, you do not start by saying, “I want a relationship that looks like this”—that would be starting in the wrong end, by defining form. Instead you say, “I’m just going to pay attention to what happens when I hang out with various people and iterate toward something that feels alive”—you start from the context.

The context is smarter than you. It holds more nuance and information than you can fit in your head. Collaborate with it.

If you want to find a good design—be that the design of a house or an essay, a career or a marriage—what you want is some process that allows you to extract information from the context, and bake it into the form. That is what unfolding is.

The opposite of an unfolding is a vision. A vision springs, not from a careful understanding of a context, but from a fantasy

Anything that increases the rate and resolution of information you get from the context will help. And anything that makes it easier for you to act on the context.

A common reason we filter information and become blind to the context is that we bundle things when we think. Thinking about our career, we might think in abstractions like “a job.” But really a career is made up of a bunch of different things like a salary, an identity, relationships, status, a sense of meaning, and so on. It is often easier to find a fit if you unbundle these things, and think about the parts that matter to you individually. Do you actually need more status? Or can you find a better fit if you go low status?

Another common reason the feedback loop of unfolding often works poorly is that people have decided on a solution already. They have turned on their confirmation bias. They have decided that a certain solution is off-limits. Let’s say you are 34 and haven’t found a partner but want kids. If we unbundle this, it is clear that the problem of having a kid and the problem of love are not the same thing, so you could solve your problem by having a kid with your best friend instead. But this feels weird. It is not the vision you have for your life. And it seems dysfunctional. Observe that feeling—it is, perhaps, a part of the context. There is some information there. But to unfold, do not write off any solutions. Leave them all on the table; let them combine and recombine. Many good ideas look bad at first. To increase the rate at which you understand the context, you want to develop a certain detachment. When the context thrashes one of your ideas, you want to say, “Oh, that’s interesting.” It takes practice. But it is worth getting better at. Reality is shy—it only reveals itself to those who, like honest scientists, do not wish it to be something else.

The faster you can collide your ideas against reality, the faster you get feedback.

The school system is centered around visions, not unfolding. You are asked to make decisions about realities that are five, ten years down the line, and you get no feedback on your decisions.

you’re less torn by anxious attachments when you recognize how something must naturally and necessarily unfold.

Knowledge is freedom from getting mad at facts.

Detachment does not mean you don’t care what happens. It just means you don’t care whether a specific thing happens or not. You want to know the outcome of the coin-toss (you care), but you don’t care whether it is heads or tails even if you’ve bet on heads (you’re not attached to a specific outcome). The important thing is that something happens, which means you’ve successfully kept play going, but without keeping score.

Emotional Self-Management: I like to think of this as accepting the emotions you have instead of having emotions about having emotions in an endless stack.

Fear. Not fear, plus anxiety about fear, plus guilt about anxiety about fear, plus shame about displaying guilt about experiencing anxiety about having fear. This is emotional focus. Instead of retreating from an emotion through layers of additional emotions until you find one you can deal with, you experience the actual emotion for what it is.

I’d posit that a reason why people love CarPlay so much is because the media, communication, and navigation experiences have traditionally been pretty poor. CarPlay supplants those, and it does so with aplomb because people use those same media, communication, and navigation features that are personalized to them with their phones when they’re not in their cars.

No one is walking around with a speedometer and a tachometer on their iPhone that need to have a familiar look and feel, rendered exclusively in San Francisco. As long as automakers supply the existing level of CarPlay support, which isn’t a given, then customers like us would be content with the status quo, or even a slight improvement.

In my humble opinion, Next-Gen CarPlay is dead on arrival. Too late, too complicated, and it doesn’t solve the needs of automakers or customers. Instead of letting the vehicle’s interface peak through, Apple should consider letting CarPlay peak through for the non-critical systems people prefer to use with CarPlay.

Design a CarPlay that can output multiple display streams (which Apple already over-designed) and display that in the cluster. Integrate with the existing controls for managing the interfaces in the vehicle. When the phone isn’t there, the vehicle will still be the same vehicle. When the phone is there, it’s got Apple Maps right in the cluster how you like it without changing the gauges, or the climate controls, or where the seat massage button is.

The everyday irritations people have are mundane, practical, and are not related to how Apple-like their car displays can look.

there are three big categories of barriers. The application barrier, the interview barrier, and the document barrier. And that’s what we spent most of our time iterating on and building a system that could slowly learn about those barriers and then intervene against them.

The application is asking, “Are you convicted of this? Are you convicted of that? Are you convicted of this other thing?” What is that saying to you, as a person, about what the system thinks of you?

Often they’ll call from a blocked number. They’ll send you a notice of when your interview is scheduled for, but this notice will sometimes arrive after the actual date of the interview. Most state agencies are really slammed right now for a bunch of reasons, including Medicaid unwinding. And many of the people assisting on Medicaid are the same workers who process SNAP applications. If you missed your phone interview, you have to call to reschedule it. But in many states, you can’t get through, or you have to call over and over and over again. For a lot of people, if they don’t catch that first interview call, they’re screwed and they’re not going to be approved.

getting to your point about how a website can fix this —  the end result was lowest-burden application form that actually gets a caseworker what they need to efficiently and effectively process it. We did a lot of iteration to figure out that sweet spot.

We didn’t need to do some hard system integration that would potentially take years to develop — we were just using the system as it existed. Another big advantage was that we had to do a lot of built-in data validation because we could not submit anything that was going to fail the county application. We discovered some weird edge cases by doing this.

A lot of times when you want to build a new front end for these programs, it becomes this multiyear, massive project where you’re replacing everything all at once. But if you think about it, there’s a lot of potential in just taking the interfaces you have today, building better ones on top of them, and then using those existing ones as the point of integration.

Government tends to take a more high-modernist approach to the software it builds, which is like “we’re going to plan and know up front how everything is, and that way we’re never going to have to make changes.” In terms of accreting layers — yes, you can get to that point. But I think a lot of the arguments I hear that call for a fundamental transformation suffer from the same high-modernist thinking that is the source of much of the status quo.

If you slowly do this kind of stuff, you can build resilient and durable interventions in the system without knocking it over wholesale. For example, I mentioned procedural denials. It would be adding regulations, it would be making technology systems changes, blah, blah, blah, to have every state report why people are denied, at what rate, across every state up to the federal government. It would take years to do that, but that would be a really, really powerful change in terms of guiding feedback loops that the program has.

when you start to read about civic technology, it very, very quickly becomes clear that things that look like they are tech problems are actually about institutional culture, or about policy, or about regulatory requirements.

If you have an application where you think people are struggling, you can measure how much time people take on each page. A lot of what technology provides is more rigorous measurement of the burdens themselves. A lot of these technologies have been developed in commercial software because there’s such a massive incentive to get people who start a transaction to finish it. But we can transplant a lot of those into government services and have orders of magnitude better situational awareness.

There’s this starting point thesis: Tech can solve these government problems, right? There’s healthcare.gov and the call to bring techies into government, blah, blah, blah. Then there’s the antithesis, where all these people say, well, no, it’s institutional problems. It’s legal problems. It’s political problems. I think either is sort of an extreme distortion of reality. I see a lot of more oblique levers that technology can pull in this area.

LLMs seem to be a fundamental breakthrough in manipulating words, and at the end of the day, a lot of government is words. I’ve been doing some active experimentation with this because I find it very promising. One common question people have is, “Who’s in my household for the purposes of SNAP?” That’s actually really complicated when you think about people who are living in poverty — they might be staying with a neighbor some of the time, or have roommates but don’t share food, or had to move back home because they lost their job.

I’ve been taking verbatim posts from Reddit that are related to the household question and inputting them into LLMs with some custom prompts that I’ve been iterating on, as well as with the full verbatim federal regulations about household definition. And these models do seem pretty capable at doing some base-level reasoning over complex, convoluted policy words in a way that I think could be really promising.

caseworkers are spending a lot of their time figuring out, wait, what rule in this 200-page policy manual is actually relevant in this specific circumstance? I think LLMS are going to be really impactful there.

It is certainly the case that I’ve seen some productive tensions in counties where there’s more of a mix of that and what you might consider California-style Republicans who are like, “We want to run this like a business, we want to be efficient.” That tension between efficiency and big, ambitious policies can be a healthy, productive one. I don’t know to what extent that exists at the state level, and I think there’s hints of more of an interest in focusing on state-level government working better and getting those fundamentals right, and then doing the more ambitious things on a more steady foundation.

California seemed to really try to take every ambitious option that the feds give us on a whole lot of fronts. I think the corollary of that is that we don’t necessarily get the fundamental operational execution of these programs to a strong place, and we then go and start adding tons and tons of additional complexity on top of them.

Having an opinionated set of tradeoffs exposes your approach to a set of weaknesses. The more you tip the scale on one side, the weaker something else will be. That’s okay! Making those difficult choices is what people pay you for. You should be proud of your compromises. My favorite products are opinionated. They make a clear statement about what they are not good at, in favor of being much better at something else.

What if getting a (design) job were human-centered?How might we reconsider this system of collecting a pool of resumes and dwindling them down to a few dozen potential candidates? With so many qualified individuals in the job market, from new grads to seasoned professionals, there has to be a fit somewhere.Call me an idealist — I am.In an ideal world, somehow the complexity of what makes a person unique could be captured and understood easily and quickly without any technological translators. But until then, a resume and a portfolio will have to do, in addition to the pre-screening interviews and design challenges. Without diving into a speculative design fiction, what if getting a (design) job were human-centered? How might the system be a bit more personal, yet still efficient enough to give the hundreds of qualified job seekers a chance in a span of weeks or months?

despite our human-centered mantra, the system of getting a job is anything but human-centered.For the sake of efficiency, consistency is key. Resumes should have some consistent nature to them so HR knows what the heck they’re looking at and the software can accurately pick out whose qualified. Even portfolios fall prey to these expectations for new grads and transitional job seekers. Go through enough examples of resumes and portfolios and they can begin to blur together. Yet, if I’m following a standard, how do I stand out when a lot of us are in the same boat?

The cover immediately sets Ways of Seeing apart from its contemporaries, the book itself begins on the cover. Rather than creating a conventionally appealing cover, Hollis chose to bypass this tradition entirely, instead placing the text and an image from the start of the first chapter straight onto the front, just beneath the title and authors name. This directness has a link with the television series, mimicking how the first episode began with no preamble or title sequence, Berger got started immediately, drawing the audience in with his message rather than any distractions.

Another link to Berger’s presenting style is Hollis’ choice of typeface, bold Univers 65 is used for the body copy throughout, in an attempt to achieve something of the captivating quality of Berger’s voice.

The layout also employs large indents rather than paragraph breaks, something of a Hollis trademark. But this mirrors how Berger had presented on television, there was little time wasted with atmospheric filler shots or long gaps in speech, the message was key and continuous.

The key reason that Ways of Seeing has become iconic as a piece of book design is how it dealt with text and image: the two are integrated, where an image is mentioned in the text it also appears there. Captions are avoided where possible. When unavoidable they are in a lighter weight of type and run horizontally, so as not to disrupt the text. Images are often set at the same width as the lines of text, or indented by the same amount, this democratises the text and image relationship. Occasionally works of art are cropped to show only the pertinent details. All of these features are a big departure from the art books of the time which usually featured glorified full page colour images, often in a glossy ‘colour plate’ section in the middle, completely distanced from where the text refers to them.

Design is not used for prettifying, or to create appeal, rather it is used for elucidating, to spread his message or get his point across as clearly as possible. Be it a point about art and politics, art and gender, the ethics of advertising, the human experiences of a rural GP, or economic migrants in Germany — the design is always appropriate to what Berger wants to say, but does so economically without redundancy.

Even in Portraits: John Berger on Artists published by Verso in 2015, Berger insisted on black and white reproductions, arguing that: “glossy colour reproductions in the consumerist world of today tend to reduce what they show to items in a luxury brochure for millionaires. Whereas black-and-white reproductions are simple memoranda.”

the images in the book “illustrate the essentially dialectical relationship between text and image in Berger’s work: the pattern in which an image shapes a text, which then goes on to shape how we understand that image.”

At Netflix, we have such a diverse population of shows in 183 countries around the world. We’re really trying to serve up lots of stories people haven’t heard before. When you go into our environment, you’re like, “Ooh, what is that?” You’re almost kind of afraid to touch it, because you’re like, “Well, I don’t want to waste my time.”That level of discovery is literally, I’m not bullshitting you, man, that’s the thing that keeps me up at night. How do I help figure out how to help people discover things, with enough evidence that they trust it? And when they click on it, they love it, and then they immediately ping their best friend, “Have you seen this documentary? It’s amazing.” And she tells her friends, and then that entire viral loop starts.

The discovery engine is very temporal. Member number 237308 could have been into [reality TV] because she or he just had a breakup. Now they just met somebody, so all of a sudden it shifts to rom-coms.Now that person that they met loves to travel. So [they might get into] travel documentaries. And now that person that they’re with, they may have a kid, so they might want more kids’ shows. So, it’s very dangerous for us to ever kind of say, “This is what you like. You have a cat. You must like cat documentaries.”

We don’t see each other, obviously, and I don’t want to social network on Netflix. But knowing other humans exist there is part of it.You answered the question absolutely perfectly. Not only because it’s your truth, but that’s what everyone says! That connection part. So another thing that goes back to your previous question, when you’re asking me what’s on my mind? It’s that. How do I help make sure that when you’re in that discovery loop, you still feel that you’re connected to others.I’m not trying to be the Goth kids on campus who are like, “I don’t care about what’s popular.” But I’m also not trying to be the super poppy kids who are always chasing trends. There’s something in between which is, “Oh, hey, I haven’t heard about that, and I kind of want to be up on it.”

I am looking forward to seeing what Apple does with this and then figuring out more, how are people going to use it? Then I think that we should have a real discussion about how Netflix does it.But to just port Netflix over? No. It’s got to make sure that it’s using the power of the system as much as humanly possible so that it’s really making that an immersive experience. I don’t want to put resources toward that right now.

The design team here at Netflix, we played a really big hand in how that worked because we had to design the back-end tool. What people don’t know about our team is 30% of our organization is actually designing and developing the software tools that we use to make the movies. We had to design a tool that allowed the teams to understand both what extra footage to shoot and how that might branch. When the Black Mirror team was trying to figure out how to make this narrative work, the software we provided really made that easier.

LLMs will represent a step change in tool support for end-user programming: the ability of normal people to fully harness the general power of computers without resorting to the complexity of normal programming. Until now, that vision has been bottlenecked on turning fuzzy informal intent into formal, executable code; now that bottleneck is rapidly opening up thanks to LLMs.

If this hypothesis indeed comes true, we might start to see some surprising changes in the way people use software: One-off scripts: Normal computer users have their AI create and execute scripts dozens of times a day, to perform tasks like data analysis, video editing, or automating tedious tasks. One-off GUIs: People use AI to create entire GUI applications just for performing a single specific task—containing just the features they need, no bloat. Build don’t buy: Businesses develop more software in-house that meets their custom needs, rather than buying SaaS off the shelf, since it’s now cheaper to get software tailored to the use case. Modding/extensions: Consumers and businesses demand the ability to extend and mod their existing software, since it’s now easier to specify a new feature or a tweak to match a user’s workflow. Recombination: Take the best parts of the different applications you like best, and create a new hybrid that composes them together.

Chat will never feel like driving a car, no matter how good the bot is. In their 1986 book Understanding Computers and Cognition, Terry Winograd and Fernando Flores elaborate on this point: In driving a car, the control interaction is normally transparent. You do not think “How far should I turn the steering wheel to go around that curve?” In fact, you are not even aware (unless something intrudes) of using a steering wheel…The long evolution of the design of automobiles has led to this readiness-to-hand. It is not achieved by having a car communicate like a person, but by providing the right coupling between the driver and action in the relevant domain (motion down the road).

Think about how a spreadsheet works. If you have a financial model in a spreadsheet, you can try changing a number in a cell to assess a scenario—this is the inner loop of direct manipulation at work. But, you can also edit the formulas! A spreadsheet isn’t just an “app” focused on a specific task; it’s closer to a general computational medium which lets you flexibly express many kinds of tasks. The “platform developers"—the creators of the spreadsheet—have given you a set of general primitives that can be used to make many tools. We might draw the double loop of the spreadsheet interaction like this. You can edit numbers in the spreadsheet, but you can also edit formulas, which edits the tool

what if you had an LLM play the role of the local developer? That is, the user mainly drives the creation of the spreadsheet, but asks for technical help with some of the formulas when needed? The LLM wouldn’t just create an entire solution, it would also teach the user how to create the solution themselves next time.

This picture shows a world that I find pretty compelling. There’s an inner interaction loop that takes advantage of the full power of direct manipulation. There’s an outer loop where the user can also more deeply edit their tools within an open-ended medium. They can get AI support for making tool edits, and grow their own capacity to work in the medium. Over time, they can learn things like the basics of formulas, or how a VLOOKUP works. This structural knowledge helps the user think of possible use cases for the tool, and also helps them audit the output from the LLMs. In a ChatGPT world, the user is left entirely dependent on the AI, without any understanding of its inner mechanism. In a computational medium with AI as assistant, the user’s reliance on the AI gently decreases over time as they become more comfortable in the medium.

One of the most impactful uses of LLM technology lies in content rewriting, which naturally capitalizes on these systems’ robust capabilities for generating and refining text. This application is a logical fit, helping users enhance their content while engaging with a service.

Similar to summarization but incorporating an element of judgment, features like Microsoft Team CoPilot’s call transcript summaries distill extensive discussions into essential bullet points, spotlighting pivotal moments or insights.

The ability to ‘understand’ nuanced language through summarization extends naturally into advanced search functionalities. ServiceNow does this by enabling customer service agents to search tickets for recommended solutions and to dispel jargon used by different agents.

Rather than merely focusing on content creation or manipulation, emerging applications of these systems provide new perspectives and predict outcomes based on accumulated human experiences. The actual value of these applications lies not merely in enhancing efficiency but in augmenting effectiveness, enabling users to make more informed decisions.

Tashi pairs her Loewe cotton shirtdress with Chanel espadrilles when she’s older, and wears Cartier jewelry exclusively (despite her real-life Bulgari ambassadorship). She applies Augustinus Bader cream on her body and wears lots of camel cashmere. This is Tashi attempting to exert her dominance over everyone else: She is a better tennis player, she is wealthier, she is more mature, and she would like you to know it. When she is young, she’s in Adidas campaigns, which our culture has come to know as a signifier for the sports prodigy, the role model.

Art is a good boy and wants to be told so. He listens to Tashi and does what she wants. He wears good-boy clothes: crisp white Uniqlo polo shirts on the court and navy quarter zips off-duty. Patrick, however, is sleazy, and what he wants from Tashi is both a challenger and someone who will put him in his place. He evokes a Peter Pan “I’ll never grow up” energy in mismatched athleisure, and drives a rundown car despite coming from money.

Haptic sensations feel rewarding, so users feel compelled to repeat these actions.What's the optimal length for vibrations? Try 400ms

But what if you sell products on desktop?Instead of using vibrations, try animating products upon selection. Move items into the basketShake from side to sideGrow and shrink

In an online grocery store, customers bought more items when they felt vibrations while adding items to their cart (Hampton & Hildebrand, 2021).

Classical Conditioning. Vibrations often co-occur with social messages. Therefore, vibrations feel good because these sensations have been frequently paired with hits of dopamine (Hampton & Hildebrand, 2021).Perceived Ownership. Vibrations mimic touch, as if you are physically touching an item on your device. And touch is key to ownership (Li, Cowan, Yazdanparast, & Ansell, 2024; Peck, Barger, & Webb, 2013).

Forget trying to decide what your life’s destiny is. That’s too grand. Instead, just figure out what you should do in the next 2 years.

Visuals can stir up feelings or paint a scene in an instant. However, they may not always nail down the details or explain things as clearly as words can. Words can be very precise and give you all the information you need. Yet, sometimes they miss that instant impact or emotional punch.

For each visual you add to your presentation, you should ask yourself “What does it really say?” And then check: Does it enhance the meaning of my message, or is it purely decorative? Does it belong at this point in my presentation? Would it be better for another slide? Is there a better image that says what I want to say?

Computers don’t feel, and that means: they don’t understand what they do, they grow images like cancer grows cells: They just replicate something into the blue. This becomes apparent in the often outright creepiness of AI images.

AI is really good at making scary images. Even if the prompt lacks all hints of horror kitsch, you need to get ready to see or feel something disturbing when you look at AI images. It’s like a spell. Part of the scariness comes from the cancer-like pattern that reproduces the same ornament without considering its meaning and consequence.

Placing pictures next to each other will invite comparisons. We also compare images that follow each other. Make sure that you do not inadvertently compare apples and oranges.

When placing multiple images in a grid or on one slide after the other, ensure they don’t clash in terms of colors, style, or resolution. Otherwise, people will focus more on the contrast between the images rather than their content.

Repeating what everyone can see is bad practice. To make pictures and text work, they need to have something to say about each other.

Don’t write next to the image what people already see. A caption is not an ALT text.

The most powerful combination of text and image happens when the text says about the image what you can’t see at first sight, and when the image renders what is hard to imagine.

Do not be boring or overly explanatory. The visual should attract their attention to your words and vice-versa.

If a visual lacks meaning, it becomes a decorative placeholder. It can dilute your message, distract from what you want to say, and even express disrespect to your audience.