It’s like when safe area insets appeared in iOS 11: it wasn’t clear why you needed them until the iPhone X came along with a notch and a home indicator. And then it changed everything.

There has also been an emphasis on “concentricity”. It’s an impossible thing to achieve and an easy target for ridicule. But it’s another case where Apple wants to take control of the UI elements that intersect with the physical hardware. All of this makes me think that Apple is close to introducing devices where the screen disappears seamlessly into the physical edge. Something where flexible OLED blurs the distinction between pixels and bezel. A new “wraparound” screen with safe area insets on the vertical edges of the device, just like we saw with the horizontal edges on iPhone X.

Other challenges, like infusing your own branding into an app with clear buttons will be easier to reason about once the reality of the hardware drops. Until then, stay away from the edges and wait for Apple to reveal the real reason for Liquid Glass.

For interface designers, this distinction opens up new possibilities: instead of just helping users complete a task, we can design interfaces that also help them grow. In the symbiosis between humans and machines, there's potential for real, meaningful gains

if we think about how to turn this competitive interface into a complementary one, some ideas pop up: Explain: Show not just the corrected text, but also why and where it was corrected Feedback: Send a weekly email with the top three recurring mistakes, along with exercises Challenge: Highlight a mistake and ask the person to fix it themselves before showing the corrected version.

All this can be incorporated without slowing the whole process. And there are plenty more possibilities. Even just doing this thought experiment shows how powerful this framework can be for interface design.

Just like living a healthy life means paying attention to what we eat and how we move, we'll need to be more mindful of where we invest our mental energy. The same goes for our creative and learning processes. Instead of just asking for a corrected version of a text, we could request feedback like an editor would give, or ask for a list of five authors who would argue against your core idea.

We are entering a new era of tools and it is up to us to shape them so that in the future they shape us in ways we can be proud of.

The lines between technology and culture are blurring. And so, it’s no longer enough to build great tech.

Whether in expressed via product design, brand, or user experience, taste now defines how a product is perceived and felt as well as how it is adopted, i.e. distributed — whether it’s software or hardware or both. Technology has become deeply intertwined with culture.3 People now engage with technology as part of their lives, no matter their location, career, or status.

founders are realizing they have to do more than code, than be technical. Utility is always key, but founders also need to calibrate design, brand, experience, storytelling, community — and cultural relevance. The likes of Steve Jobs and Elon Musk are admired not just for their technical innovations but for the way they turned their products, and themselves, into cultural icons.

The elevation of taste invites a melting pot of experiences and perspectives into the arena — challenging “legacy” Silicon Valley from inside and outside.

B2C sectors that once prioritized functionality and even B2B software now feel the pull of user experience, design, aesthetics, and storytelling.

Arc is taking on legacy web browsers with design and brand as core selling points. Tools like Linear, a project management tool for software teams, are just as known for their principled approach to company building and their heavily-copied landing page design as they are known for their product’s functionality.4 Companies like Arc and Linear build an entire aesthetic ecosystem that invites users and advocates to be part of their version of the world, and to generate massive digital and literal word-of-mouth. (Their stories are still unfinished but they stand out among this sector in Silicon Valley.)

Any attempt to give examples of taste will inevitably be controversial, since taste is hard to define and ever elusive. These examples are pointing at narratives around taste within a community.

So how do they compete? On how they look, feel, and how they make users feel.6 The subtleties of interaction (how intuitive, friendly, or seamless the interface feels) and the brand aesthetic (from playful websites to marketing messages) are now differentiators, where users favor tools aligned with their personal values. All of this should be intertwined in a product, yet it’s still a noteworthy distinction.

Investors can no longer just fund the best engineering teams and wait either. They’re looking for teams that can capture cultural relevance and reflect the values, aesthetics, and tastes of their increasingly diverse markets.

How do investors position themselves in this new landscape? They bet on taste-driven founders who can capture the cultural zeitgeist. They build their own personal and firm brands too. They redesign their websites, write manifestos, launch podcasts, and join forces with cultural juggernauts.

Code is cheap. Money now chases utility wrapped in taste, function sculpted with beautiful form, and technology framed in artistry.

The dictionary says it’s the ability to discern what is of good quality or of a high aesthetic standard. Taste bridges personal choice (identity), societal standards (culture), and the pursuit of validation (attention). But who sets that standard? Taste is subjective at an individual level — everyone has their own personal interpretation of taste — but it is calibrated from within a given culture and community.

Taste manifests as a combination of history, design, user experience, and embedded values that creates emotional resonance — that defines how a product connects with people as individuals and aligns with their identity. None of the tactical things alone are taste; they’re mere artifacts or effects of expressing one’s taste. At a minimum, taste isn’t bland — it’s opinionated.

The most compelling startups will be those that marry great tech with great taste. Even the pursuit of unlocking technological breakthroughs must be done with taste and cultural resonance in mind, not just for the sake of the technology itself. Taste alone won’t win, but you won’t win without taste playing a major role.

Founders must now master cultural resonance alongside technical innovation.

In some sectors—like frontier AI, deep tech, cybersecurity, industrial automation—taste is still less relevant, and technical innovation remains the main focus. But the footprint of sectors where taste doesn’t play a big role is shrinking. The most successful companies now blend both. Even companies aiming to be mainstream monopolies need to start with a novel opinionated approach.

I think we should leave it at “taste” which captures the artistic and cultural expressions that traditional business language can’t fully convey, reflecting the deep-rooted and intuitive aspects essential for product dev

Biederman so succinctly put it, at some point between the first Trump administration and the second, “Article World” was defeated by “Post World”. As he sees it, “Article World” is the universe of American corporate journalism and punditry that, well, basically held up liberal democracy in this country since the invention of the radio. And “Post World” is everything the internet has allowed to flourish since the invention of the smartphone — YouTubers, streamers, influencers, conspiracy theorists, random trolls, bloggers, and, of course, podcasters. And now huge publications and news channels are finally noticing that Article World, with all its money and resources and prestige, has been reduced to competing with random posts that both voters and government officials happen to see online.

during the first Trump administration, the president’s various henchmen would do something illegal or insane, a reporter would find out, cable news and newspapers would cover it nonstop, and usually that henchman would resign or, oftentimes, end up in jail

this is why the media is typically called the fourth branch of the government

This also explains why Texas is trying to pass the “Forbidden Unlawful Representation of Roleplaying in Education,” or “FURRIES” Act, based on a years-old anti-trans internet conspiracy theory. It’s why Trump’s team is targeting former President Joe Biden’s autopen-signed pardons after the idea surfaced in a viral X post shared by Libs Of TikTok. And it’s why US Secretary of Defense Pete Hegseth is investigating random social media reports that military bases are still letting personnel list their preferred pronouns on different forms. Posts are all that matters now. And it’s likely no amount of articles can defeat them. Well, I guess we’ll find out.

When was the last time you truly felt consensus? Not in the sense that a trend was happening around you — although, was it? — but a new fact or bit of information that felt universally agreed upon?

Gen Z faces a double disruption: AI-driven technological change and institutional instability Three distinct Gen Z cohorts have emerged, each with different relationships to digital reality A version of the barbell strategy is splitting career paths between "safety seekers" and "digital gamblers" Our fiscal reality is quite stark right now, and that is shaping how young people see opportunities

When I talk to young people from New York or Louisiana or Tennessee or California or DC or Indiana or Massachusetts about their futures, they're not just worried about finding jobs, they're worried about whether or not the whole concept of a "career" as we know it will exist in five years.

When a main path to financial security comes through the algorithmic gods rather than institutional advancement (like when a single viral TikTok can generate more income than a year of professional work) it fundamentally changes how people view everything from education to social structures to political systems that they’re apart of.

Gen Z 1.0: The Bridge Generation: This group watched the digital transformation happen in real-time, experiencing both the analog and internet worlds during formative years. They might view technology as a tool rather than an environment. They're young enough to navigate digital spaces fluently but old enough to remember alternatives. They (myself included) entered the workforce during Covid and might have severe workplace interaction gaps because they missed out on formative time during their early years. Gen Z 1.5: The Covid Cohort: This group hit major life milestones during a global pandemic. They entered college under Trump but graduated under Biden. This group has a particularly complex relationship with institutions. They watched traditional systems bend and break in real-time during Covid, while simultaneously seeing how digital infrastructure kept society functioning. Gen Z 2.0: The Digital Natives: This is the first group that will be graduate into the new digital economy. This group has never known a world without smartphones. To them, social media could be another layer of reality. Their understanding of economic opportunity is completely different from their older peers.

Gen Z 2.0 doesn't just use digital tools differently, they understand reality through a digital-first lens. Their identity formation happens through and with technology.

Technology enables new forms of value exchange, which creates new economic possibilities so people build identities around these possibilities and these identities drive development of new technologies and the cycle continues.

different generations don’t just use different tools, they operate in different economic realities and form identity through fundamentally different processes. Technology is accelerating differentiation. Economic paths are becoming more extreme. Identity formation is becoming more fluid.

I wrote a very long piece about why Trump won that focused on uncertainty, structural affordability, and fear - and that’s what the younger Gen Z’s are facing. Add AI into this mix, and the rocky path gets rockier. Traditional professional paths that once promised stability and maybe the ability to buy a house one day might not even exist in two years. Couple this with increased zero sum thinking, a lack of trust in institutions and subsequent institutional dismantling, and the whole attention economy thing, and you’ve got a group of young people who are going to be trying to find their footing in a whole new world. Of course you vote for the person promising to dismantle it and save you.

Less Emphasis on Syntax, More on Problem SolvingThe fundamentals and skills themselves are evolving. Most introductory computer science courses focus on code syntax and getting programs to run, and while knowing how to read and write code is still essential, testing and debugging—which aren’t commonly part of the syllabus—now need to be taught more explicitly.

Zingaro, who coauthored a book on AI-assisted Python programming with Porter, now has his students work in groups and submit a video explaining how their code works. Through these walk-throughs, he gets a sense of how students use AI to generate code, what they struggle with, and how they approach design, testing, and teamwork.

educators are modifying their teaching strategies. “I used to have this singular focus on students writing code that they submit, and then I run test cases on the code to determine what their grade is,” says Daniel Zingaro, an associate professor of computer science at the University of Toronto Mississauga. “This is such a narrow view of what it means to be a software engineer, and I just felt that with generative AI, I’ve managed to overcome that restrictive view.”

“We need to be teaching students to be skeptical of the results and take ownership of verifying and validating them,” says Matthews.Matthews adds that generative AI “can short-circuit the learning process of students relying on it too much.” Chang agrees that this overreliance can be a pitfall and advises his fellow students to explore possible solutions to problems by themselves so they don’t lose out on that critical thinking or effective learning process. “We should be making AI a copilot—not the autopilot—for learning,” he says.

Strong technologies capture the imaginations of technology enthusiasts. That is why many important technologies start out as weekend hobbies. Enthusiasts vote with their time, and, unlike most of the business world, have long-term horizons. They build from first principles, making full use of the available resources to design technologies as they ought to exist.

With iA Writer 7 you can manually mark ChatGPT’s contributions as AI text. AI text is greyed out. This allows you to separate and control what you borrow and what you type. By splitting what you type and what you pasted, you can make sure that you speak your mind with your voice, rhythm and tone.

As a dialog partner AI makes you think more and write better. As ghost writer it takes over and you lose your voice. Yet, sometimes it helps to paste its replies and notes. And if you want to use that information, you rewrite it to make it our own. So far, in traditional apps we are not able to easily see what we wrote and what we pasted from AI. iA Writer lets you discern your words from what you borrowed as you write on top of it. As you type over the AI generated text you can see it becoming your own. We found that in most cases, and with the exception of some generic pronouns and common verbs like “to have” and “to be”, most texts profit from a full rewrite.

we believe that using AI for writing will likely become as common as using dishwashers, spellcheckers, and pocket calculators. The question is: How will it be used? Like spell checkers, dishwashers, chess computers and pocket calculators, writing with AI will be tied to varying rules in different settings.

We suggest using AI’s ability to replace thinking not for ourselves but for writing in dialogue. Don’t use it as a ghost writer. Because why should anyone bother to read what you didn’t write? Use it as a writing companion. It comes with a ChatUI, so ask it questions and let it ask you questions about what you write. Use it to think better, don’t become a vegetable.

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.

When I started my career 3G was the hot topic, and every investor kept asking ‘what’s the killer app for 3G?’ It turned out that the killer app for having the internet in your pocket was, well, having the internet in your pocket. But with each of those, we knew what to build next, and with VR we don’t. That tells me that VR has a place in the future. It just doesn’t tell me what kind of place.

The successor to the smartphone will be something that doesn’t just merge AR and VR but make the distinction irrelevant - something that you can wear all day every day, and that can seamlessly both occlude and supplement the real world and generate indistinguishable volumetric space.

a global pandemic struck, markets crashed, and the possibility of a democratic socialist presidency in America started to fade. Much of our work with clients has been about how to address new audiences in a time of massive fragmentation and the collapse of consensus reality.

All the while, people have been eager to launch new products more focused on impressions than materiality, and “spending on experiences” has become the standard of premium consumption.

it’s time to reassess the consumer experience that came along with the neoliberal fantasy of “unlimited” movement of people, goods and ideas around the globe.

Umami, as both a quality and effect of an experience, popped up primarily in settings that were on the verge of disintegration, and hinged on physical pilgrimages to evanescent meccas. We also believe that the experience economy is dying, its key commodity (umami) has changed status, and nobody knows what’s coming next.

Umami was the quality of the media mix or the moodboard that granted it cohesion-despite-heterogeneity. Umami was also the proximity of people on Emily’s museum panel, all women who are mostly not old, mostly not straight, and mostly doing something interesting in the arts, but we didn’t know exactly what. It was the conversation-dance experience and the poet’s play and the alt-electronica-diva’s first foray into another discipline. It was the X-factor that made a certain MA-1 worth 100x as much as its identical twin.

“Advanced consumers” became obsessed with umami and then ran around trying to collect ever-more-intensifying experiences of it. Things were getting more and more delicious, more and more expensive, and all the while, more and more immaterial. Umami is what you got when you didn’t get anything.

What was actually happening was the enrichment of financial assets over the creation of any ‘real wealth’ along with corresponding illusions of progress. As very little of this newly minted money has been invested into building new productive capacity, infrastructure, or actually new things, money has just been sloshing around in a frothy cesspool – from WeWork to Juicero to ill-advised real estate Ponzi to DTC insanity, creating a global everything-bubble.

Value, in an economic sense, is theoretically created by new things based on new ideas. But when the material basis for these new things is missing or actively deteriorating and profits must be made, what is there to be done? Retreat to the immaterial and work with what already exists: meaning. Meaning is always readily available to be repeated, remixed, and/or cannibalized in service of creating the sensation of the new.

The essential mechanics are simple: it’s stating there’s a there-there when there isn’t one. And directing attention to a new “there” before anyone notices they were staring at a void. It’s the logic of gentrification, not only of the city, but also the self, culture and civilization itself. What’s made us so gullible, and this whole process possible, was an inexhaustible appetite for umami.

eyond its synergistic effect, umami has a few other sensory effects that are relevant to our theory. For one, it creates the sense of thickness and body in food. (“Umami adds body…If you add it to a soup, it makes the soup seem like it’s thicker – it gives it sensory heft. It turns a soup from salt water into a food.”) For another, it’s released when foods break down into parts. (“When organic matter breaks down, the glutamate molecule breaks apart. This can happen on a stove when you cook meat, over time when you age a parmesan cheese, by fermentation as in soy sauce or under the sun as a tomato ripens. When glutamate becomes L-glutamate, that’s when things get “delicious.””) These three qualities: SYNERGY, IMPRESSION OF THICKNESS, and PARTS > WHOLE, are common to cultural umami, as well.

Umami hunting was a way for the West to consume an exotic, ethnic, global “taste” that was also invisible and up to their decoding / articulation.

when something is correctly salted, Chang argues, it tastes both over and undersalted at once. As a strange loop, this saltiness makes you stand back and regard your food; you start thinking about “the system it represents and your response to it”. He argues that this meta-regard keeps you in the moment and connected to the deliciousness of your food. We counter that it intensifies a moment in a flow, temporarily thickening your experience without keeping you anywhere for long.

strong flavors, namely umami, mark a surge of intensity in the flow of experience. It also becomes clear that paradox itself is at the heart of contemporary consumption. For example: “This shouldn’t be good but it is” “This doesn’t seem like what it’s supposed to be” “This is both too much and not enough” “I shouldn’t be here but i am” “This could be anywhere but it’s here”

Parts > Whole is just another way of saying a combination of things has emergent properties. In itself this doesn’t mean much, as almost any combination of things has emergent properties, especially in the domains of taste and culture. Coffee + vinegar is worse than its constitutive parts. A suit + sneakers is a greater kind of corny than either worn separately. Most emergence is trivial. The Umami Theory of Value centers on losing your sense of what’s trivial and what’s valuable.

If you tried to unpack your intuition, the absence of the there-there would quickly become evident. Yet in practice this didn’t matter, because few people were able to reach this kind of deep self-interrogation. The cycle was simply too fast. There was never time for these concoctions to congeal into actual new things (e.g. create the general category of K-Pop patrons for Central European arts institutions). We can’t be sure if they ever meant anything beyond seeming yummy at the time.

This was not meant to be a nihilistic, Gen-X faceplant (“nothing means anything any more”), since we think that perspective can paper over the nuances of consumer experience, business realities, and cultural crisis. Instead, we wanted to link macroeconomic and macrotrend observations to everyday experience, especially in the context of burgeoning collapse.

To write about something hard to explain, write a detailed letter to a friend about why it is so hard to explain, and then remove the initial “Dear Friend” part and you’ll have a great first draft.

To be interesting just tell your story with uncommon honesty.

Most articles and stories are improved significantly if you delete the first page of the manuscript draft. Immediately start with the action.

Each technology can not stand alone. It takes a saw to make a hammer and it takes a hammer to make a saw. And it takes both tools to make a computer, and in today’s factory it takes a computer to make saws and hammers. This co-dependency creates an ecosystem of highly interdependent technologies that support each other

On the other hand, I see this technium as an extension of the same self-organizing system responsible for the evolution of life on this planet. The technium is evolution accelerated. A lot of the same dynamics that propel evolution are also at work in the technium

Our technologies are ultimately not contrary to life, but are in fact an extension of life, enabling it to develop yet more options and possibilities at a faster rate. Increasing options and possibilities is also known as progress, so in the end, what the technium brings us humans is progress.

Libraries, journals, communication networks, and the accumulation of other technologies help create the next idea, beyond the efforts of a single individual

We also see near-identical parallel inventions of tricky contraptions like slingshots and blowguns. However, because it was so ancient, we don’t have a lot of data for this behavior. What we would really like is to have a N=100 study of hundreds of other technological civilizations in our galaxy. From that analysis we’d be able to measure, outline, and predict the development of technologies. That is a key reason to seek extraterrestrial life.

When information is processed in a computer, it is being ceaselessly replicated and re-copied while it computes. Information wants to be copied. Therefore, when certain people get upset about the ubiquitous copying happening in the technium, their misguided impulse is to stop the copies. They want to stamp out rampant copying in the name of "copy protection,” whether it be music, science journals, or art for AI training. But the emergent behavior of the technium is to copy promiscuously. To ban, outlaw, or impede the superconductivity of copies is to work against the grain of the system.

the worry of some environmentalists is that technology can only contribute more to the problem and none to the solution. They believe that tech is incapable of being green because it is the source of relentless consumerism at the expense of diminishing nature, and that our technological civilization requires endless growth to keep the system going. I disagree.

Over time evolution arranges the same number of atoms in more complex patterns to yield more complex organisms, for instance producing an agile lemur the same size and weight as a jelly fish. We seek the same shift in the technium. Standard economic growth aims to get consumers to drink more wine. Type 2 growth aims to get them to not drink more wine, but better wine.

to measure (and thus increase) productivity we count up the number of refrigerators manufactured and sold each year. More is generally better. But this counting tends to overlook the fact that refrigerators have gotten better over time. In addition to making cold, they now dispense ice cubes, or self-defrost, and use less energy. And they may cost less in real dollars. This betterment is truly real value, but is not accounted for in the “more” column

it is imperative that we figure out how to shift more of our type 1 growth to type 2 growth, because we won’t be able to keep expanding the usual “more.”  We will have to perfect a system that can keep improving and getting better with fewer customers each year, smaller markets and audiences, and fewer workers. That is a huge shift from the past few centuries where every year there has been more of everything.

“degrowthers” are correct in that there are limits to bulk growth — and running out of humans may be one of them. But they don’t seem to understand that evolutionary growth, which includes the expansion of intangibles such as freedom, wisdom, and complexity, doesn’t have similar limits. We can always figure out a way to improve things, even without using more stuff — especially without using more stuff!

the technium is not inherently contrary to nature; it is inherently derived from evolution and thus inherently capable of being compatible with nature. We can choose to create versions of the technium that are aligned with the natural world.

Social media can transmit false information at great range at great speed. But compared to what? Social media's influence on elections from transmitting false information was far less than the influence of the existing medias of cable news and talk radio, where false information was rampant. Did anyone seriously suggest we should regulate what cable news hosts or call in radio listeners could say? Bullying middle schoolers on social media? Compared to what? Does it even register when compared to the bullying done in school hallways? Radicalization on YouTube? Compared to talk radio? To googling?

Kids are inherently obsessive about new things, and can become deeply infatuated with stuff that they outgrow and abandon a few years later. So the fact they may be infatuated with social media right now should not in itself be alarming. Yes, we should indeed understand how it affects children and how to enhance its benefits, but it is dangerous to construct national policies for a technology based on the behavior of children using it.

Since it is the same technology, inspecting how it is used in other parts of the world would help us isolate what is being caused by the technology and what is being caused by the peculiar culture of the US.

You don’t notice what difference you make because of the platform's humongous billions-scale. In aggregate your choices make a difference which direction it — or any technology — goes. People prefer to watch things on demand, so little by little, we have steered the technology to let us binge watch. Streaming happened without much regulation or even enthusiasm of the media companies. Street usage is the fastest and most direct way to steer tech.

Vibrators instead of the cacophony of ringing bells on cell phones is one example of a marketplace technological solution

The long-term effects of AI will affect our society to a greater degree than electricity and fire, but its full effects will take centuries to play out. That means that we’ll be arguing, discussing, and wrangling with the changes brought about by AI for the next 10 decades. Because AI operates so close to our own inner self and identity, we are headed into a century-long identity crisis.

What we tend to call AI, will not be considered AI years from now

What we are discovering is that many of the cognitive tasks we have been doing as humans are dumber than they seem. Playing chess was more mechanical than we thought. Playing the game Go is more mechanical than we thought. Painting a picture and being creative was more mechanical than we thought. And even writing a paragraph with words turns out to be more mechanical than we thought

out of the perhaps dozen of cognitive modes operating in our minds, we have managed to synthesize two of them: perception and pattern matching. Everything we’ve seen so far in AI is because we can produce those two modes. We have not made any real progress in synthesizing symbolic logic and deductive reasoning and other modes of thinking

we are slowly realizing we still have NO IDEA how our own intelligences really work, or even what intelligence is. A major byproduct of AI is that it will tell us more about our minds than centuries of psychology and neuroscience have

There is no monolithic AI. Instead there will be thousands of species of AIs, each engineered to optimize different ways of thinking, doing different jobs

Now from the get-go we assume there will be significant costs and harms of anything new, which was not the norm in my parent's generation

The astronomical volume of money and greed flowing through this frontier overwhelmed and disguised whatever value it may have had

The sweet elegance of blockchain enables decentralization, which is a perpetually powerful force. This tech just has to be matched up to the tasks — currently not visible — where it is worth paying the huge cost that decentralization entails. That is a big ask, but taking the long-view, this moment may not be a failure

My generic career advice for young people is that if at all possible, you should aim to work on something that no one has a word for. Spend your energies where we don’t have a name for what you are doing, where it takes a while to explain to your mother what it is you do. When you are ahead of language, that means you are in a spot where it is more likely you are working on things that only you can do. It also means you won’t have much competition.

Your 20s are the perfect time to do a few things that are unusual, weird, bold, risky, unexplainable, crazy, unprofitable, and looks nothing like “success.” The less this time looks like success, the better it will be as a foundation

For the layman to build their own Folk Interfaces, jigs to wield the media they care about, we must offer simple primitives. A designer in Blender thinks in terms of lighting, camera movements, and materials. An editor in Premiere, in sequences, transitions, titles, and colors. Critically, this is different from automating existing patterns, e.g. making it easy to create a website, simulate the visuals of film photography, or 3D-scan one's room. Instead, it's about building a playground in which those novel computational artifacts can be tinkered with and composed, via a grammar native to their own domain, to produce the fruits of the users' own vision. The goal of the computational tool-maker then is not to teach the layman about recursion, abstraction, or composition, but to provide meaningful primitives (i.e. a system) with which the user can do real work. End-user programming is a red herring: We need to focus on materiality, what some disparage as mere "side effects." The goal is to enable others to feel the agency and power that comes when the world ceases to be immutable.

I hope this mode can paint the picture of software, not as a teleological instrument careening towards automation and ease, but as a medium for intimacy with the matter of our time (images, audio, video), yielding a sense of agency with what, to most, feels like an indelible substrate.