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.
Last week, Tesla unveiled two world-changing products: Robotaxi1, a fully self-driving taxi with no steering wheel or pedals, and an autonomous humanoid robot, called Optimus2, that can walk and has fully functioning hands and feet. Both of these products have been depicted in science fiction for decades, so the fact that a company is working on them was not surprising. What was surprising is that Tesla showed them existing today. The event looked and felt like a major product launch; they had clearly spent an incredible amount of time and effort to redecorate the 20-acre Warner Bros. studio backlot with a futuristic theme. In front of a couple thousand attendees, Elon Musk walked on stage and quickly showed off the new vehicles and robots while making very brief remarks about autonomy and the future of parking lots. Then he announced it was time to party, and walked off the stage. I was extremely confused. No products were launched. No details were shared about the Robotaxi or the Optimus robot. He raised a thousand questions and answered only one: when asked when Robotaxi would ship, Musk stumbled over himself as though he’d never thought about the answer before, and then appeared to make it up on the spot: “before 2027”. In other words, these products were not products: they were concepts. And while a lot of progress has recently been made on driverless cars and autonomous robots, for now (with few exceptions) they are still firmly in the realm of science fiction. Usually, when a company puts on a production this large, there’s a reason. When Apple announces its new operating systems or iPhones, they show off the new features and share when they’ll be available. But Tesla’s event seemed to have no purpose. Musk did not go into detail about features, design, or availability. In fact, the products he showed cannot even exist in the real world as they were presented. The Optimus robot hardware is extremely impressive, but the demo machines were surreptitiously and fully controlled by remote human operators. The Robotaxi relies on near perfect self-driving reliability, but the software for that doesn’t exist yet at Tesla, either. The demo units were half impressive engineering, half illusion. The choice of a movie set as the event’s venue was perfect. What I found most confusing was that Tesla gained nothing from showing off these concepts. They won’t be available to buy for years, and by then there will have been many more iterations. In the end, what they did accomplish was to throw an elaborate party for a small number of attendees, who were able to interact with a theme park-like vision of the future, while the millions of people who streamed Musk’s presentation were given an unorganized, disjointed misrepresentation of the state of the art. Tesla and Musk had a rare opportunity to use the event as an inspiring statement of mission and purpose. They could have told a story about why Tesla exists, why it is working on these products in particular, and how everything fits into the tapestry of the company’s overall mission. Musk could have explained that the Robotaxi has always been part of Tesla’s ambitious “master plan,” and then given a progress update on how the plan is being executed while showing the demo vehicles and robots. That would have been something worth watching and a story worth telling. But Musk didn’t tell that story. He showed off half-finished products and then threw a party. Over the years, I’ve come to believe that being able to put whatever you’re working on into the context of a bigger story is as important as making it work well–whether it’s a building, a company, an essay, a piece of software, or a hamburger. Good storytelling is good craftsmanship. Without a good story, without clear context and purpose, it’s hard to maintain the essence of a thing, and far too easy to make poor design decisions. When you develop the full story behind why and how you’re building something, you can make decisions based on principle instead of opinion, and if you can communicate that story well to others, you can way more easily get them to understand your vision. This applies to everything from product development to sales and marketing. The products Tesla has been working on are undeniably inspiring objects of a very optimistic future. Most companies focus on at most the next few iterations of their products, but Tesla is unique in that it defines the future for itself and then pulls it kicking and screaming into the present. Electric cars were impractical/impossible, and then Tesla made them ubiquitous. Humanoid robots have always been confined to science fiction, but Tesla is going to make them, too. The way Tesla operates is an inspiring story in and of itself. However, by announcing concept products years and years in advance, without providing context, especially while maintaining a wildly imaginative understanding of time, Tesla is damaging its reputation. Without a story, Tesla’s actions seem haphazard and erratic. Why did they throw a party instead of telling a good story? It makes no sense to me. Buried somewhere beneath its flamboyantly inarticulate product announcements, Tesla has one of the greatest and most inspiring stories in history. They are just awful at telling it. Musk variously and repeatedly refers to it as Robotaxi, Cybercab, and Cybertaxi. I think names are important, so I used the one on Tesla.com. ↩ Technically, Optimus was “revealed” a few years ago at a very bizarre presentation–even for Elon Musk–during which a human, dressed like a robot, performed an interpretive dance. ↩
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