inveterate

Once you see the roots shared by most fields you realize there’s a sink of information you’ve been ignoring that can help you make better sense of your own profession. I didn’t appreciate how important communication is to providing investment advice before reading about how many doctors struggle to communicate effectively with patients, leading to patients who don’t stick with treatment plans and are resistant to lifestyle change. There are millions of these dots to connect. Probing beyond the confines of your day job is more fun anyways.

Software is misunderstood. It can feel like a discrete thing, something with which we interact. But, really, it is the intrusion into our world of something very alien. It is the strange interaction of electricity, semiconductors, and instructions, all of which somehow magically control objects that range from screens to robots to phones, to medical devices, laptops, and a bewildering multitude of other things. It is almost infinitely malleable, able to slide and twist and contort itself such that, in its pliability, it pries open doorways as yet unseen.

the clearing price for software production will change. But not just because it becomes cheaper to produce software. In the limit, we think about this moment as being analogous to how previous waves of technological change took the price of underlying technologies—from CPUs, to storage and bandwidth—to a reasonable approximation of zero, unleashing a flood of speciation and innovation. In software evolutionary terms, we just went from human cycle times to that of the drosophila: everything evolves and mutates faster.

A software industry where anyone can write software, can do it for pennies, and can do it as easily as speaking or writing text, is a transformative moment. It is an exaggeration, but only a modest one, to say that it is a kind of Gutenberg moment, one where previous barriers to creation—scholarly, creative, economic, etc—are going to fall away, as people are freed to do things only limited by their imagination, or, more practically, by the old costs of producing software.

We have almost certainly been producing far less software than we need. The size of this technical debt is not knowable, but it cannot be small, so subsequent growth may be geometric. This would mean that as the cost of software drops to an approximate zero, the creation of software predictably explodes in ways that have barely been previously imagined.

Entrepreneur and publisher Tim O’Reilly has a nice phrase that is applicable at this point. He argues investors and entrepreneurs should “create more value than you capture.” The technology industry started out that way, but in recent years it has too often gone for the quick win, usually by running gambits from the financial services playbook. We think that for the first time in decades, the technology industry could return to its roots, and, by unleashing a wave of software production, truly create more value than its captures.

Software production has been too complex and expensive for too long, which has caused us to underproduce software for decades, resulting in immense, society-wide technical debt.

technology has a habit of confounding economics. When it comes to technology, how do we know those supply and demand lines are right? The answer is that we don’t. And that’s where interesting things start happening. Sometimes, for example, an increased supply of something leads to more demand, shifting the curves around. This has happened many times in technology, as various core components of technology tumbled down curves of decreasing cost for increasing power (or storage, or bandwidth, etc.).

Suddenly AI has become cheap, to the point where people are “wasting” it via “do my essay” prompts to chatbots, getting help with microservice code, and so on. You could argue that the price/performance of intelligence itself is now tumbling down a curve, much like as has happened with prior generations of technology.

it’s worth reminding oneself that waves of AI enthusiasm have hit the beach of awareness once every decade or two, only to recede again as the hyperbole outpaces what can actually be done.

Lather rinse, repeat. Prodigy, geocities, collegeclub.com, MySpace, Friendster, Livejournal, Tumblr, Twitter. More besides. More next. And if one were to get big enough, like Facebook, this cycle doesn’t stop, it just sort of happens all at the same time without interruptions in service. All while we diaspora from site to site hoping there’s at least one more goddamned Diaryland Andrew out there who gives a fuck about the little universe they created and tempted human beings to set up their lives in.

To express power not by what you can give, but by what you can take away. And deeper still, this strange compulsion of conservatism to force other humans to be just like you.

Without preconceptions — without having already half-templated and half-mapped the world we are trying to perceive and navigate — we would have to evaluate afresh every smallest object our attention falls upon.

Most facts in consciousness seem to be partly made. A report is the joint product of the knower and known, in which the role of the observer is always selective and usually creative. The facts we see depend on where we are placed, and the habits of our eyes.

For the most part we do not first see, and then define, we define first and then see. In the great blooming, buzzing confusion of the outer world we pick out what our culture has already defined for us, and we tend to perceive that which we have picked out in the form stereotyped for us by our culture.

They did what worked in the past, or what they had decided would work — and failed to grasp that the circumstances had shifted so that a previously successful strategy was no longer so. People failed to see what the world was telling them when that message wasn’t one they wanted to hear. They liked being the rulers of their environment. When the environment knew more than they did — well, that was no good at all. Here was the cruel truth: we humans too often think ourselves in firm control when we are really playing by the rules of chance.

When I’m writing, especially if it’s going well, I’m living in two different dimensions: this life I’m living now, which I enjoy very much, and this completely other world I’m inhabiting that no one else knows about.

organic startup ideas usually don't seem like startup ideas at first. We know now that Facebook was very successful, but put yourself back in 2004. Putting undergraduates' profiles online wouldn't have seemed like much of a startup idea. And in fact, it wasn't initially a startup idea. When Mark spoke at a YC dinner this winter he said he wasn't trying to start a company when he wrote the first version of Facebook. It was just a project. So was the Apple I when Woz first started working on it. He didn't think he was starting a company. If these guys had thought they were starting companies, they might have been tempted to do something more "serious," and that would have been a mistake.

There are only so many degrees of freedom for users inside of these apps, which makes them simple to use. But this simplicity also strips away so much of the freedom we have during in-person interactions. You can type any message, but typing a message is all you can do. You can call any person, but talking directly into your camera is all you can do once you're connected. Without spatial interfaces, our current software doesn't give us much expressive control.

In social applications, spatial software has at least three advantages. These three advantages often overlap and bleed into each other.Afforded Intuition: Our natural understanding of space makes spatial software easier to use.Expressiveness: In a spatial interface, more degrees of freedom mean users can interact more creatively with software and with each other.Presence: In many spatial interfaces, we can sense other users through the presence of an avatar or figure.

The most basic way to understand spiritual bypass is that it's using your spirituality, spiritual states, or spiritual practice as excuses for not addressing harm and suffering experienced in the material or real world.

It's not just having to commit your ideas to specific words that makes writing so exacting. The real test is reading what you've written. You have to pretend to be a neutral reader who knows nothing of what's in your head, only what you wrote.

You can know a great deal about something without writing about it. Can you ever know so much that you wouldn't learn more from trying to explain what you know? I don't think so.

A cat is content to be a cat. […] Nothing is more at home in the world than a cat. Flowers, compared to a cat, seem too assertive, even vulgar — their peculiar colors, their showy shapes. Sprawled in sunlight, a cat dissolves, pours free of its shape, and becomes one with the ground. Sliding along your leg, it gives you a sense of fusion. A cat makes itself one with anything. It is at home in the world. A cat defines a home.

Face-to-face with a cat, you see almost no mouth. Its expression is unforthcoming, uncommunicative. Eyes and ears. A tiny, cool, exquisite nose. Without much mouth, the face seems uninterested in eating, and the eyes seem large and salient, as though a cat wants only to observe, to know things. A cat’s whiskers, like exquisite antennae, read the airiest messages.

You look at a cat, and it looks at you. You have the scary idea that a cat is a kind of person. You look more carefully and let the cat’s eyes tell you what it sees. It sees you are a kind of cat. A cat always looks into your eyes, as if it knows that you see it with your eyes. As if it knows? What a mad idea. A cat doesn’t even know it has eyes, let alone know that it is seeing you with its eyes. And yet it knows, it knows.

When it comes to loneliness, a cat is excellent company. It is a lonely animal. It understands what you feel. A dog also understands, but it makes such a big deal of being there for you, bumping against you, flopping about your feet, licking your face. It keeps saying, “Here I am.” Your loneliness then seems lugubrious. A cat will just be, suffering with you in philosophical silence.

The tail of a cat lashes, curls, and swishes slowly. It stands straight up. It vibrates. It blooms before battle and looks three times thicker. It is a flag of feelings — courage, shame, pleasure, fear. It can become the hook of a sickle, or a shepherd’s crook, or a rod, or a plume, or an S, and it can press down to seal a cat’s heinie. It is the poetry and prose of a cat. When a cat is thoughtful, the tail moves like a part of the mind. It is a moody river, a smokey flow. It is a sentence, the material shape of an idea. It is an announcement, a revelation, and an artistic gesture, beautiful even if only to express boredom.

My advice to people when they are thinking about instituting a new process is to go to a whiteboard2 and write down the answer to this question: “If you could only get one thing done this year, what would it be?”. If that answer is “institute some new process”, go for it. But if it’s something like “increase market share from 30% to 60%” or “launch this new product that will 2x our TAM”, don’t waste your time on anything else. Just take your best person (up to and including the CEO), make them responsible for solving that problem, and give them everything and everyone they need to make it happen.

We still believe that "if our hope is to create software with feeling, it means inviting people in to craft it for themselves — to mold it to the contours of their unique lives and taste.” And we have a few thoughts on how to make that happen, but if you know us, you know that the prompt is almost always more interesting than the answer.

i don't even really care if the answer is right, as long as the person i'm talking to can talk about complexity cogently. if i'm interviewing for an entry-level position, i don't even really care about that, we can teach it, it's not that hard.

Anecdotally I have noticed junior engineers being increasingly difficult to work with since many of them are leetcode drones who have issues working and figuring things out on their own. They got really good at passing 'the test' but did not develop many other skills relating to technology and many times do not really have an outside interest in it beyond being able to get a job.

in the article they're talking about how live-coding is inherently harder for people who have been working in the industry longer. which sounds.....not right? like why would more experience with coding make you worse at interviewing? it's because these interviews filter for people who spend their free time practicing coding prompts and algorithms for fun. and people who work 9-5 jobs and have lives outside of work just don't do that, so they're inherently going to be worse at these type of interviews.

Meaningful additions to the world rest on novel connections among pre-existing concepts, objects and situations, not self-indulgent originality for its own sake. What we glorify as flashes of brilliance are usually astute observations about the world, improved by critical thinking and critique. And observations often begin from a question.

because many of us have been rewarded and praised for having right answers and clever ideas, in school as well as in professional life, the questioning and critiquing part of design can get very uncomfortable.

A quick and effective fix is to stop brainstorming ideas with your team, and start brainstorming questions instead. Getting together and listing every question you can think of about a problem, a process, or a situation is uncomfortable at first, and then in very short order enhances collaboration, decreases risk and puts you on the path to being a learning organization.

Rather than debate the merits of these “let’s bring back some ports from five years ago” decisions piecemeal, I think they’re best explained by Apple revisiting what the pro in “MacBook Pro” means. What it stands for. Apple uses the word pro in so many products. Sometimes they really do mean it as professional. Logic Pro and Final Cut Pro, for example, truly are tools for professionals. With something like AirPods Pro, though, the word pro really just means something more like nicer or deluxe. A couth euphemism for premium.

Most startups end up doing something different than they planned. The way the successful ones find something that works is by trying things that don't. So the worst thing you can do in a startup is to have a rigid, pre-ordained plan and then start spending a lot of money to implement it. Better to operate cheaply and give your ideas time to evolve.

Successful startups are almost never started by one person. Usually they begin with a conversation in which someone mentions that something would be a good idea for a company, and his friend says, "Yeah, that is a good idea, let's try it." If you're missing that second person who says "let's try it," the startup never happens. And that is another area where undergrads have an edge. They're surrounded by people willing to say that.

Look for the people who keep starting projects, and finish at least some of them. That's what we look for. Above all else, above academic credentials and even the idea you apply with, we look for people who build things.

You need a certain activation energy to start a startup. So an employer who's fairly pleasant to work for can lull you into staying indefinitely, even if it would be a net win for you to leave.

Most people look at a company like Apple and think, how could I ever make such a thing? Apple is an institution, and I'm just a person. But every institution was at one point just a handful of people in a room deciding to start something. Institutions are made up, and made up by people no different from you.

What goes wrong with young founders is that they build stuff that looks like class projects. It was only recently that we figured this out ourselves. We noticed a lot of similarities between the startups that seemed to be falling behind, but we couldn't figure out how to put it into words. Then finally we realized what it was: they were building class projects.

Class projects will inevitably solve fake problems. For one thing, real problems are rare and valuable. If a professor wanted to have students solve real problems, he'd face the same paradox as someone trying to give an example of whatever "paradigm" might succeed the Standard Model of physics. There may well be something that does, but if you could think of an example you'd be entitled to the Nobel Prize. Similarly, good new problems are not to be had for the asking.

real startups tend to discover the problem they're solving by a process of evolution. Someone has an idea for something; they build it; and in doing so (and probably only by doing so) they realize the problem they should be solving is another one.

Professors will tend to judge you by the distance between the starting point and where you are now. If someone has achieved a lot, they should get a good grade. But customers will judge you from the other direction: the distance remaining between where you are now and the features they need. The market doesn't give a shit how hard you worked. Users just want your software to do what they need, and you get a zero otherwise. That is one of the most distinctive differences between school and the real world: there is no reward for putting in a good effort. In fact, the whole concept of a "good effort" is a fake idea adults invented to encourage kids. It is not found in nature.

unfortunately when you graduate they don't give you a list of all the lies they told you during your education. You have to get them beaten out of you by contact with the real world.

really what work experience refers to is not some specific expertise, but the elimination of certain habits left over from childhood.

One of the defining qualities of kids is that they flake. When you're a kid and you face some hard test, you can cry and say "I can't" and they won't make you do it. Of course, no one can make you do anything in the grownup world either. What they do instead is fire you. And when motivated by that you find you can do a lot more than you realized. So one of the things employers expect from someone with "work experience" is the elimination of the flake reflex—the ability to get things done, with no excuses.

Fundamentally the equation is a brutal one: you have to spend most of your waking hours doing stuff someone else wants, or starve. There are a few places where the work is so interesting that this is concealed, because what other people want done happens to coincide with what you want to work on.

So the most important advantage 24 year old founders have over 20 year old founders is that they know what they're trying to avoid. To the average undergrad the idea of getting rich translates into buying Ferraris, or being admired. To someone who has learned from experience about the relationship between money and work, it translates to something way more important: it means you get to opt out of the brutal equation that governs the lives of 99.9% of people. Getting rich means you can stop treading water.

You don't get money just for working, but for doing things other people want. Someone who's figured that out will automatically focus more on the user. And that cures the other half of the class-project syndrome. After you've been working for a while, you yourself tend to measure what you've done the same way the market does.

the most important skill for a startup founder isn't a programming technique. It's a knack for understanding users and figuring out how to give them what they want. I know I repeat this, but that's because it's so important. And it's a skill you can learn, though perhaps habit might be a better word. Get into the habit of thinking of software as having users. What do those users want? What would make them say wow?