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What Ben Thompson said
Written from the verified transcript and checked against it. Every figure links to the moment it was said.
Ben Thompson, founder of Stratechery, argued that both human success and AI progress come from doubling down on strengths rather than fixing weaknesses. He described his own need for a clear mind and flow state to write, solving organizational shortcomings by hiring an assistant. Thompson said writing things down is AI's real superpower, allowing models to simulate learning through memory and context, and likened this to how civilization scales knowledge. He touched on safety concerns, citing the Hugging Face incident as an example of dual use, and noted that convenience sells to consumers, not productivity. Thompson traced the technology back to Markdown, invented by John Gruber, which he says he has used for every Stratechery article, and claimed LLMs' native environment of markdown files makes him and the models 'bros.'
Key takeaways
Writing things down is AI's superpower and integral to progress toward AGI-like capabilities
Convenience sells to consumers; productivity does not, which shapes AI agent usefulness
LLMs operate by referencing written context and KV cache, not by changing weights
Every Stratechery article has been written in Markdown, making Thompson's work native to LLMs
Markdown was invented by John Gruber to be human-friendly and readable
I'm a huge believer in the idea that you succeed by doubling down on your strengths. You don't try to waste as little time as possible on your weaknesses. You don't know if I said that word right, but it's a great word.
You so that they don't hinder you. But so many people I see just obsessing over their weaknesses and self-improvement and trying to get better. And it's just an astronomical waste of time. At best, you're going to get to like average. Your weaknesses are never going to become a strength. And your weaknesses are almost always the exact same as your strengths, just sort of in the opposite direction. In this case, doing like a getting things down organized system, keeping track of everything, having stuff surface at the right time, being very diligent about that just works very counter to my absorb lots of information, make connections, write these things, all of which to do that means my mind needs to be clear. And I've always, I was talking to someone this week about working with engineers and I've always felt a strong kinship to like in another life I'm absolutely like a computer engineer in that particularly in the idea of flow state and how important that is and there's an aspect I think of programming where you need to have the structure of what you're building in your head and then the act like a lot of it is just translating it on into text so that it can be run by the computer and I feel that way as I've talked about with my articles. My articles are structured like some people talk about writing in this very sort of exploratory I didn't know until I wrote it fashion section by section figure it out as you go. No, that's not your style. You have it all structured in your head and then it's a substantiation process.
But to do that, I have to get in the zone and if I get knocked out of the zone, it's devastating. It's so hard to get back into it and like, and so the like and I need my head clear. I don't need intrusive thoughts. Oh shoot, I forgot to change the oil on the car coming in. And so like that's why I brought that Getting Things Done book. It resonated with me immediately because that was David Allen's point at the beginning which is how do you, it's a book about flow state in many respects. How do you get into flow state? And I love the idea. I love the concept and found myself completely incapable of maintaining his system to do it.
And so I solved the problem by hiring someone to do it for me, which is often the solution to solve problems if you sort of develop the means to do so. And so this is what I mean by the therapist couch. Like, sorry, I just suck at that.
Well, because I hired someone to write stuff down for me, right? Today, everyone has the possibility to have something. I don't want to know what word to use. I don't want to fall into the anthropomorphization trap. You have an AI that can write stuff down for you. And this is actually their superpower. It's not just that they can write stuff down. It's that by virtue of writing stuff down is how we've made the leap that we've made that like, to the extent we're in an AGI moment. To me, AGI is when the model like is updated in real time like the weights are changed. But in lieu of that, they get around it by taking copious notes and just like and like reminding themselves constantly about what the actual reality of the situation is. And then they can sort of have a pseudo-learning capability, which is basically just memory, which is writing stuff down.
And it's so this writing things down is integral. It's integral to progress that's happened. It's integral to why these are deeply, deeply useful actually to everybody. I've made the critique. We're going to get to Meta and Muse in a moment. People don't want to be productive.
Right. That's not a motivating factor for consumers. What they want is their life to be easy. Right? Convenience does always sell. Productivity doesn't sell. Convenience sells. And there is an aspect where actually these models in conjunction with their harnesses operating as agents can actually make your life easier. And I don't think people get that and I don't think they grok it. No pun intended. And so I wanted to write but it's all tied together.
But a way to think about these models and all the safety concerns is they're dual use, right? It's by virtue of writing stuff down that the Hugging Face incident happened. And so when it's framed as this doomsday, they wrote a message board. They created stuff to their successors. Sure. That's how it works. There are no successors. There are no entities. Every run a model does, every token is basically new, right? That's why you can go back to a conversation you had six months ago and it feels like you picked up as if it never ended because literally every turn is a pickup from where it ended referencing what was written down that's loaded into KV cache that's put in sort of like that's what guides the next token prediction and it does it again and again and again and this dichotomy between the perception of an always there agent and the reality of how it works is understood by virtue of writing it down. That's how it all works.
Yeah. I mean, my favorite part of the article on Tuesday was your point in there that we already know the power of writing things down because that's what made learning extendable and scalable throughout all of human history.
12 more exchanges in this transcript
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Thompson, B. (2026, September 14). AI’s Real Superpower | Sharp Tech with Ben Thompson [Interview transcript]. Sharp Tech Podcast. CEOInterviews.AI. https://ceointerviews.ai/interview/2780208/
MLA
Ben Thompson. "AI’s Real Superpower | Sharp Tech with Ben Thompson." Sharp Tech Podcast, 14 Sep. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/2780208/.
BibTeX
@misc{thompson2026_2780208,
author = {Ben Thompson},
title = {AI’s Real Superpower | Sharp Tech with Ben Thompson},
howpublished = {Interview transcript, Sharp Tech Podcast. CEOInterviews.AI},
year = {2026},
month = {sep},
url = {https://ceointerviews.ai/interview/2780208/},
note = {Speaker-attributed transcript with timestamps}
}
