The Wisdom Wall
35 quotable lessons, heuristics and mental models. Every one is playable at the moment it was said. No fortune cookies allowed.
“You have every incentive in the world to juice the valuation because that means that it gets anchored there and then you go out at a higher value. Like, then you realize that at the expense of the retail market.”
“everything around how they're building this company is incentivized to push the absolute least efficient solutions possible to actually make their own economics work.”
“And I, I, I think a Tim pool or a lot of these people, yes, you could somewhat, a small group of people might consider them serious commentators or even quote unquote journalists. But I think most people are just like, they are entertaining and they kind of validate what I'm already thinking and they're good and angry…”
“do you know what, to me, what actually the greatest danger in the world to open AI is, is to say AGI is here. And then everyone goes to ChatGPT, types in something, and gets a lukewarm response that isn't quite right. And then suddenly, I actually think that is like a just massive threat to the overall story and hype…”
“the economics of a general or an AI company are just fundamentally different than software. That like, it's more akin to industrial companies or something, because you're paying for The compute costs. So the resources in can scale linearly or somewhat linearly with your actual revenue.”
“So at that point, you just have so much of traditional software Can just be looked at as like a UI over a database. That's what's happening right now, and the market is finally actually coming to that realization.”
“I think the humanes of the world, the rabbits of the world were actually victims of hype and of the cycle that like a proper startup having Time to kind of like work through, get it into the hands of early adopters, have people test buggy devices, be happy about it. They never had that because they got so hyped up so…”
“I actually don't think the way this article called like API spend sticky. I don't think it's sticky... switching out what you're calling like truly this is where Even as at one point, if Opus 4.5 is better at coding, cost is going to be the driver, especially in the enterprise, and being able to switch the moment you…”
“generative AI is not traditional software, so growing your revenue at a loss doesn't, it's not like you're just gonna scale to, you know, like near, uh, 90% margins. It's gonna cost more.”
“Generative AI is not traditional software economics. It's not like essentially zero marginal cost. It's not certainly not social media, but not even traditional software. It's a completely different cost structure. It's more industrial in my opinion than traditional software.”
“to me, it's still not significantly different than manufacturing automation in the 2000 and what that did to blue collar work in the U S and also outsourcing within China. And this is a whole other discussion right now. We, we only got two minutes left, but, but to me, it's still, it's just happening in knowledge work…”
“I don't understand why robots need a human form factor. I want purpose-built and whatever this tabletop robot is doing on that table, I'm sure it's something very helpful.”
“I think like just being able to do some kind of like image alteration or improvement, or even like UX layout of a website. I think that kind of skill has been Going the way of someone kind of like writing email subject lines for a long time”
“small models are gonna run locally on device. And that's actually gonna be how infrastructure gets built out. That throws such a wrench into any of these stories that we've been talking about for the last 30 minutes, like that completely destroys those stories.”
“if you're asking everyone to give you essentially sell themselves and the work they're doing on a weekly basis and using that as your like foundation for understanding the state of your company. It's gonna be biased positive. Like, that's not actually good. Cause everyone's gonna be like, oh, did amazing things.…”
“It just had different economics, and I genuinely think that's fundamentally changed. And we, we've talked about this a lot, like, and an AI company, we don't even know what the economics really are of them in terms of, like, what it costs to operate the more people use it. LLMs don't, Behave like traditional software…”
“Like the architecture side of how people are approaching these kinds of agentic workflows is getting solved. I think that's the big thing. And It's not at the model level that models are helping, but it, and it's, yeah, it's the, it's not the product actually. You know what? Instead of product versus model…”
“From a software UI standpoint, they have built beautiful products. They've built usable products. They created the whole chat UI was not really a true thing, and now, like, they led the way. And all Google has to do is just copy everything they do. Wait for them to innovate, release, just copy because UI is not…”
“But if you think about it, a problem like this is an informational one. So it should be solved by like within Gmail itself or with the Gmail API or with model context protocol and not a browser kind of clicking through robotically your Gmail. And so it's still amazing to me that this system, it seems impressive and…”
“Salesforce didn't win cloud early on because it just was the best at cloud. It won cloud because it was just like a powerhouse in the rest of doing business.”
“The sycophantic AI is that is, is the greatest limiter to like actual true intelligence or reasoning.”
“I, I think that conflates two different things, because on one side, almost by definition, this should allow for more deep work. This is taking care of the more monotonous, repetitive things people did, instead of having to rewrite an entire code base from scratch, that, like, that kind of work you're able to do.”
“getting just everyday people in your company really fluent in whatever new tool is happening and figuring out how they can actually change the way they do work is actually far more important than any large scale effort that any company is going to try to implement.”
“the entire, like, big technology industry has a vested interest because if compute and capex are critical, then only they can win. So this is gonna be really interesting to watch play out. That as long as compute and capex are critical, they're the winners.”
“six to 12 months ago, the approach was just jam as much information into whatever system you can. And we were kind of promised that it would just work and AI is just gonna, and like, there's, you know, you'd get this feeling that, oh wait, a hundred page PDF. It actually could parse and I can get, Information out of,…”
“In fact, I think the Apple, so I can tell you model routing has become like so dominant in conversations in my world now. Like it went from, you know, like just there's, you have to have the latest frontier model and they're all encompassing. And within the span of two months, everyone is like, Find the right model for…”
“I think what the world needs here is actually someone who can show that AI has actually helped them balance their life a bit more. I think he's got to just shift that a little bit, show him on vacation a little bit as his agents are doing his work. Spending time with his family and showing that's the vision people…”
“Like, to me, I actually, like, what it feels like when you're working in this way is that you're basically a manager. You're managing all these different agents to do different type of work. So, like, you start to realize managerial skills become more important than ever.”
“Agentic AI is not like a process flow diagram. It's giving it a set of tools and letting it go figure out what to do and actually go do it.”
“Email should be a very straightforward. It's just, it's mostly text. It's very structured. There's subject lines and like, it's something LLMs should be able to do a very good job of handling. There's a lot of context.”
“WorkSlop uniquely uses machines to offload cognitive work to another human being. When coworkers receive work slop, they are required to take on the burden of decoding that content. Like, to me, when you use AI to just create these just big walls of text to send around, what you're saying is that you did not take the…”
“us as consumers are benefiting right now because no one actually has to pay for it on the other end. Um, and this kind of makes the like, 20 tens VC subsidized Uber rides look like, you know, uh, a quaint memory where we're just able to get all this benefit as computer as consumers, um, and generate our Sora videos.…”
“Deep Seek brought this to the general population, and it's brilliant because it makes people even more attached to these type of tools. Like, it makes them really think that there's thinking, which makes them more usable.”
“instead of using a giant CSV file as context in the agentic workflow, let's turn it into a JSON. Actually, let's chunk it into multiple different JSONs and only call, like, getting that technical, but like, that dramatically would reduce the actual tokens consumed in the By 70, 80% in a process.”
“organizing memory is going to be one of the biggest opportunities and challenges for any AI company, because you want certain areas for it to remember everything, but you definitely don't want those memories Moving over to other parts of your work and your app and the surf product surface you're using.”