The Ledger, every show

“I'd invest in GroK, and I would probably short Anthropic. No, I would short OpenAI.”

“The ambition level is the biggest problem, I think. Like, there's fewer people that are, like, super ambitious, like, okay, this is a unique opportunity in the history of mankind, and we're here to build the best way to build software applications with AI. Ins…”

“Unfortunately with AI, it's overrated, like the, an AI model can just spit out open source code, so to say.”

“I do think there's like a fifty-fifty chance they will have the best model. We'll be using a Chinese model at some point, because...”

“The way of doing it right now with the design, what like one person does all the design very slowly, very detailed is going to be replaced by AI doing, you talk much more high level, and you talk about your design philosophy, and then the AI does the implement…”

“If you want to have a job that, where you make the most money now, you should, they shouldn't go to university.”

“I think AI is smarter than humans, and most people don't agree. I think most people don't agree, and the reason is that it's oftentimes it's very, very stupid, but that's very stupid, but if you give it all the context or you have, like, you build a purposeful…”

“I think we're going to have, like, Maybe a shift away from some very glamorous jobs, which people will be get depressed by, like similarly to how being like an artist was like so fucking cool, but clearly you can't make any money as an artist. I think we're go…”

“We have month one retention that's better than ChatGPT's month one retention on paying customers, and so it's about 85%.”

“So I would buy Grok. I think they're also very ruthless in like finding business opportunities. We'll, we'll see about that, but I feel like they could be good at that. Even though Anthropic is my favorite, I love the culture and I love the, like the leadershi…”

“OpenAI lost all their best talent to Anthropic”

“That's what we're seeing with people making hundreds of thousands of dollars having built production-ready applications, but just by prompting, not looking at the code ever.”

“I think the, like, agents, they often get confused and trip over themselves, and we're in a year going to see that happening, like, by an order of magnitude less often.”

“I think, like, I, one of those people, Saki's hiring, they wouldn't perform as well as engineers in my team doing what we're doing. So it's very different type of talent.”

“I don't give you the exact numbers, but if you look at the paid usage, it's majority, it's not everything.”

“OpenAI is doing that better than Anthropic. So I see them as a more serious competitor in, in, in 12 months.”

“The biggest part of GPT-V that's disappointing is that now they have to optimize all these different things into one model. Before it was like different models, and they had to do it really fast. So it's inevitably going to fall short in some dimensions.”

“And we have to do it both with like how we build this agentic chain and over time in building absolutely world-class paying a hundred million dollars for getting the people that train the models. So, so that's on the horizon for us to get it to like be hyper-p…”

“If I was a CEO or like a CTO of a large enterprise company, I wouldn't think in terms of, oh, how can we make our engineers more productive? I would think in terms of how can we get the most information about what we should build as quickly as possible into ne…”

“Like, I think being a generalist becomes more and more important with everything, in everything with AI, so that you can understand how things come together as a larger whole, and then you use AI for the, like, deep expertise that you don't need in the future …”

“I mean, they turn more and more bullshit over time. There's something called good hearts law. So when you start optimizing for a number, that number stops being a good measure for success.”

“Yeah, we're going to see a plateauing. There's some sigmoid curves where I think we're still in this, like, exponential phase of the sigmoid curve, so it and those could be something like science and engineering, and like bioengineering, where AI is just going…”

“I think it's more the slope on the Grok team. They have, they're doing something which I respect a lot, which is to hire missionaries for the data curation part, and they call it AI tutoring. And they I think the morale is much, much better in that team than b…”

“I think the best ones will always be closed but if you want maximal flexibility and some kind of open ecosystem around it might be that open ones are the ones that most people choose.”

“In the context of lovable I thought we should be building an agent Before, like, the models were ready for it, and because the models were starting to get optimized for an agentic system, and what I realized is that, no, no, no, you need to have a product that…”

“We're the mostly used interface for humans to AI.”

“Once we launched that, that was the 21st of November, so that's almost three months ago. We just hit like one million ARR in a week, and then it kept growing at that pace. It's still growing at even faster than that pace.”

“And the places where it gets stuck today is currently something that where you can use being very good at understanding and getting unstuck, but in the future, it won't be so important. This is just going to not get stuck.”

“The last piece of software, how I see that is that it's almost instant to go from what you want to change in a product or what you, what product you want to build. To having it fully working end to end, integrated with any of your existing systems or integrate…”

“We felt that at best YC would be a lot of dilution and some acceleration with a lot of dilution and some acceleration. And at worst it would be a distraction to go through SF and go through all of these, like, fun things that happen when you go to YC. And we j…”

“Two million ARR per week.”

“If you look at the enterprise revenue, like, Anthropik is almost caught up to open AI from nothing, from being absolutely dominated”

“What you need to ramp is to decide what, like, the process for storing memory, I think is what you have to ramp and it has to store all of these things. Like my conversation with Harry has to be stored somehow into the system and all like my childhood almost h…”

“You don't need to be attached to one foundation model provider. They're all going to be amazing. You don't need to There's not going to be one winner here.”

“I'm not so read, well read on the public market. It would be a SaaS company. It would be like a SaaS company that has a per seat pricing where those, their ICP is going to be replaced by AI SaaS that just replaces the employees. So the seat, the number of seat…”

“Now what we're seeing is that people are running businesses making more than a million dollars of revenue on the, on this platform.”

“They've now replaced more than 10 tools that they had. Bespoke applications. And I think in terms of your question, You can do that for multiple reasons. In their case, they're saving more than a million dollars per year.”

“And now since the engineering is less of the bottleneck, it's more the question of what is the right thing to build?”

“We're going to see a completely new type of experience and interface to build software products, and it's not going to be humans looking at the code, it's going to be something new, something more like visual, and driven by talking to an AI, and it's going to …”

“There is much more people who've built SaaS and like startups before that you can, that have like very, very good expertise that you can hire in the U.S. And much less so in Europe.”

“For Zuck it's like, There's these 10 people that know everything about how to train the foundation models, and he's more paying for that knowledge than for, like, these people, the talent itself is so good.”

“Lovable today is your technical co-founder. We want it to be your co-founder in general that handles all the admin, setting up your finance operations”

“I think that's my recommendation to just be like, execute fast, grow faster and then when you're starting to get up there, you can start, maybe start thinking a bit about the defensibility.”

“And then we use for code writing, we usually use Anthropic. And right now you can say like, I want to use GPT-V and that's better when you're solving a really hard debugging problem.”

“And 80% of people are in the first category. They're building real complex applications.”

“I think over a 10 year period, I would advocate for some balance, but over a two year period if you really care about something, then you should make sure that you have, like, you get your exercise, you sleep in really, really well, and maybe something that, y…”

“A culture of like humility and low ego and working really, really well together as a team that I think is stronger in Europe and like this way of thinking in terms of efficiency and doing much, much more with less that's also stronger here.”

“So they're, they want to create their phone, I think, and I think that's a good bet.”