More from Dustin Curtis
I have been stuck. Every time I sit down to write a blog post, code a feature, or start a project, I come to the same realization: in the context of AI, what I’m doing is a waste of time. It’s horrifying. The fun has been sucked out of the process of creation because nothing I make organically can compete with what AI already produces—or soon will. All of my original thoughts feel like early drafts of better, more complete thoughts that simply haven’t yet formed inside an LLM. I used to write prolifically. I’d have ideas, write them down, massage them slowly and carefully into cohesive pieces of work over time, and then–when they were ready–share them with the world. I’d obsess for hours before sharing anything, working through the strengths and weaknesses of my thinking. Early in my career, that process brought a lot of external validation. And because I think when I write, and writing is how I form opinions and work through holes in my arguments, my writing would lead to more and better thoughts over time. Thinking is compounding–the more you think, the better your thoughts become. But now, when my brain spontaneously forms a tiny sliver of a potentially interesting concept or idea, I can just shove a few sloppy words into a prompt and almost instantly get a fully reasoned, researched, and completed thought. Minimal organic thinking required. This has had a dramatic and profound effect on my brain. My thinking systems have atrophied, and I can feel it–I can sense my slightly diminishing intuition, cleverness, and rigor. And because AI can so easily flesh out ideas, I feel less inclined to share my thoughts–no matter how developed. I thought I was using AI in an incredibly positive and healthy way, as a bicycle for my mind and a way to vastly increase my thinking capacity. But LLMs are insidious–using them to explore ideas feels like work, but it’s not real work. Developing a prompt is like scrolling Netflix, and reading the output is like watching a TV show. Intellectual rigor comes from the journey: the dead ends, the uncertainty, and the internal debate. Skip that, and you might still get the insight–but you’ll have lost the infrastructure for meaningful understanding. Learning by reading LLM output is cheap. Real exercise for your mind comes from building the output yourself. The irony is that I now know more than I ever would have before AI. But I feel slightly dumber. A bit more dull. LLMs give me finished thoughts, polished and convincing, but none of the intellectual growth that comes from developing them myself. The output from AI answers questions. It teaches me facts. But it doesn’t really help me know anything new. While using AI feels like a superhuman brain augmentation, when I look back on the past couple of years and think about how I explore new thoughts and ideas today, it looks a lot like sedation instead. And I’m still stuck. But at least I’m here, writing this, and conveying my raw thoughts directly into your brain. And that means something, I think, even though an AI could probably have written this post far more quickly, eloquently, and concisely. It’s horrifying. This post was written entirely by a human, with no assistance from AI. (Other than spell- and grammar-checking.)
We do not know how, why, or when the X algorithm devalues posts with links, but it does—without telling you, and by a lot—and it makes the experience there worse. Without links, information on X is headlines without stories, commentary without context, magic without the prestige. We do not know by how much the inability to share or see source links has impacted the spread of misleading or incorrect information, but we do know that primary sources cannot be put into X posts and that replies with links are shown to 70-90% fewer people. Speech on X is free, but only if you reference other speech on X. In Laos, I once asked a rural villager how he determined the truth, given that the government restricted his media to their controlled outlets. He thought for a few minutes, looked around, became confused, and then said, “Isn’t the truth what the government says?” The truth on X is what random people commentate, polarize, interpret, and summarize from source material that is intentionally lost by a black box algorithm. There is no depth to anything on X because context with links is heavily penalized. This is bad for humanity and the opposite of free speech. It is link winter on X.
In 2009, Microsoft released an enormous 200lb coffee table with an embedded 30-inch touchscreen called Surface. Although the iPhone had been around for a little while, the larger screen made Surface feel absolutely futuristic: in the Photos app, you could toss around pictures like they were physically in front of you. It cost $10,000. Very few people ever bought it. A little more than a year later, Apple released the $499 iPad. Microsoft had made a $10,000 table for no one, and Apple made a $499 tablet for everyone. This is a common theme among Apple’s most important products. They are usually built around existing ideas and technologies that have been improved and then repackaged into beautiful, premium experiences which are expensive but not unaffordable. This happened with the iMac, iPod, iPhone, iPad, and Apple Watch. Whatever the product, Apple has always brought seemingly impossible levels of quality and craftsmanship to the masses. Apple is luxury for everyone. Apple Vision Pro, however, is different. Yes, it is an undeniably beautiful product, and the software is very impressive. When I first used it, I was overcome with a sense of awe that I haven’t felt since seeing kinetic scrolling on the first iPhone. But Vision Pro costs nearly $4,000 and has enough faults that it still feels a bit like a technology demo. It is not affordable at all, and it brings nothing to the masses. Vision Pro feels bizarrely un-Apple in a way that only a few products have before, like the 18-karat gold Apple Watch, the $700 Mac Pro wheels, or the $1,000 Pro Display XDR stand. These recent Apple products are shameful Veblen goods that do not offer value commensurate with their price. And while the raw technology in Vision Pro is perhaps worth $4,000 today, I do not think it delivers nearly $4,000 in value. This is the exact opposite of most other transformative Apple products. So what happened? Good product design is a careful dance between what’s best and what’s possible. For the iPhone, building the right combination of technology and software at a practical price point was an enormous challenge that Apple pulled off. But it took years and years of development for the required technology in the iPhone to reach a price that was suitable for the market. When things were cost-prohibitive, the designers of the iPhone found clever workarounds or made hard trade-offs. The first iPhone wasn’t a perfect product, but it was designed against reasonable constraints. I don’t think Vision Pro was designed against reasonable constraints. If the goal was to make the equivalent of the iPod in a sea of mediocre MP3 players, Vision Pro hasn’t succeeded. It isn’t a disruptive VR headset because it isn’t even in the same market as its competitors, the majority of which are ten times cheaper. The goal, then, must have been to make a totally new product segment that only incidentally resembles the current VR market. Apple hints at this strategy by calling Vision Pro a “spacial computer.” The problem here is that if a spacial computer can’t be made today for under $4,000, then the technology simply isn’t ready. In its current state, I think Vision Pro is antithetical to Apple’s DNA: it isn’t accessible to most people, it is large and inelegant, and the platform itself has nebulous use cases. Design Philosophy # In my experience, whether it is hardware or software, there are two fundamental ways to approach product design. The first (and most common) philosophy is to build from the bottom-up, which involves assembling low-cost and basic components first, and then working to build up from those components to an experience that reaches a desired price-quality equilibrium. The second philosophy starts the other way around, by considering the maximum reasonable quality of an experience first–even if it is impractical–and then working over iterations to build down the product until it reaches an acceptable experience-cost equilibrium by making careful trade-offs and cleverly working around constraints. An example of a bottom-up product is the Amazon Kindle, which is made of inexpensive, flimsy injection-molded plastic and shows no signs of craftsmanship – it simply does what it says it will do. On the other hand, consider the Apple Watch, which is, even without its electronics, a beautiful object. It takes only a few moments of touching the watch case to realize that an incredible amount of thought was put into the materials, angles, and curves, and that perhaps even novel manufacturing techniques had to be invented to construct it. The top-down approach is more expensive and takes longer, but – as long as you have reasonable constraints and goals – the quality of the output is exponentially better. Apple Vision Pro seems to have subscribed to neither of these approaches, or its designers started with the top down approach and then gave up before hitting a reasonable equilibrium. It’s both absurdly expensive and has extreme tradeoffs that don’t seem to hit any cohesive product design strategy that would make it a great standalone product. It also has strange extraneous features like EyeSight, which must be incredibly expensive for what it accomplishes (rather poorly). What was the purpose of launching Apple Vision Pro now, when it is incapable of bringing anything new to the masses? It’s not luxurious, even though it’s well constructed. And at its current price, it’s definitely not for everyone. Essentially, it’s an expensive tech demo. Apple’s other groundbreaking products, like iPod, iMac, iPhone, and Apple Watch were all very focused products that launched with reasonable features at reasonable prices. They relied on Apple’s soul to guide their development. Vision Pro, it seems, not so much. Apple’s DNA and culture used to drive the company to make $499 tablets for everyone – a feat that seemed impossible at the time. But today, like the $10,000 Surface Table in 2009, Apple now makes a $4,000 headset for no one.
Ben Horowitz gave this remarkable response to a question about joy and happiness on Time Well Spent: In my experience there are really two things that lead to happiness and everything else is mostly noise. The two things are contribution and abundance. Contribution is basically exactly as it sounds. If you can align your life with where you have the talent to make a large, meaningful, and real contribution to the world, your circle, or your family, then you can be very happy. As an aside, doing so often leads to making money because when you create great value like Elon Musk, you get a lot in return. Now, that doesn’t mean you have to be a business person to be happy, because happiness comes from the knowledge and impact of the contribution rather than the reward. However, this doesn’t quite work by itself, which brings me to the second point: abundance. An easy way to think of abundance is that it’s the anti-hater/anti-jealous mindset. If you believe there is plenty in the world for everyone and you are always happy to see people who contribute succeed, then you become part of “team contribution.” You don’t worry that someone is getting ahead of you at work or that someone made a lot of money or that someone is better looking than you, because you believe in abundance over scarcity and you can focus on maximizing your contribution. In fact, their joy can become your joy (then you have an abundance of joy :-)). The good news is that abundance is actually true. There is plenty in the world for everyone and once you see that, there are so many ways to contribute. I visited a Syrian refugee camp in Jordan a few years ago. On the way to the camp, there were a few refugee families not even in the camp but in some tents on the way. The area was completely barren. No plants, no trees, no grass… just rocks. So here’s this extended family of about 20 living in this tent on rocks, because their farm was destroyed by the war and they had to flee to Jordan. They were all living in this tiny tent. If anyone should have had a scarcity mindset, it was them. But I experienced the opposite. They immediately offered me a cup of coffee and some rice pudding (as if they had enough to share) and told me the whole story of their journey. What struck me the most was that they were genuinely happy despite what they went through. They were less incensed by getting bombed out of their homes than people in the U.S. are if you accidentally interrupt them. I’ve seen this kind of happiness through abundance in many countries: Cambodia, Haiti, Uganda… Those refugees were happier than some billionaires I know. That’s not to say that money doesn’t help… it does, but without an abundance mindset, it’s not enough. If, on the other hand, you have a scarcity mindset, it’s really hard to be happy no matter what you get or how rich you are or how good looking you are, because there’s always somebody richer or better looking or whatever. You become part of team “hate.” This is why you see so many deeply unhappy political activists. In theory, they should be making a massive contribution, but often they are just expressing hate for the other side. Hitler and Lenin are famous cases, but there are many, many more, because there’s a fine line between advocating for one group and hating the other group. If you’re doing the former like Martin Luther King Jr., you have an abundant view and will find joy in the work, but if you are doing the latter, you have a scarcity view. People with scarcity mindsets are always unhappy in my experience. Scarcity is not just in politics. You see it in business all the time. You see somebody stealing credit for someone else’s work or being deeply jealous about someone else’s promotion — these people are almost never happy. You even see it in the music industry or in sports. The quest to be the best turns into you not wanting anyone else to be the best. In these cases, even if you reach the pinnacle, there is no joy. Ben Horowitz The interview is worth reading in its entirety: The Architecture of Tomorrow.
More in startups
It’s very tempting to imagine that AI turns everyone into a tool-builder - now everyone can just ask the model to make the software they need, and apps as we know them are dead. I think that misunderstands how most people think and where software actually comes from, and more importantly, it isn’t a path to change how companies actually work.
Those with the most to lose are often the least likely to take big swings