The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 61 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 5 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Osika: Invest in xAI's Grok and short OpenAI
“I'd invest in GroK, and I would probably short Anthropic. No, I would short OpenAI.”
Osika: 50% chance the best AI model comes from China
“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...”
Osika: AI will replace traditional, detailed manual software design workflows
“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…”
Osika: People aiming to maximize current earnings shouldn't go to university
“If you want to have a job that, where you make the most money now, you should, they shouldn't go to university.”
Osika: AI is already smarter than humans when given proper context
“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…”
Osika: AI will devalue knowledge work just as fine art lost profitability
“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…”
Osika: Lovable's 85% month-one retention outperforms ChatGPT
“We have month one retention that's better than ChatGPT's month one retention on paying customers, and so it's about 85%.”
Osika: Buy Grok for business execution, short OpenAI on talent drain
“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…”
Osika: OpenAI has lost all of its best talent to Anthropic
“OpenAI lost all their best talent to Anthropic”
Osika: Meta's top AI hires would underperform at the application layer
“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.”
Osika: Majority of Lovable's paid usage revenue goes to AI compute
“I don't give you the exact numbers, but if you look at the paid usage, it's majority, it's not everything.”
Osika: OpenAI will be a bigger competitor to Lovable than Anthropic
“OpenAI is doing that better than Anthropic. So I see them as a more serious competitor in, in, in 12 months.”
Osika: OpenAI's GPT-o1 falls short by optimizing everything into one model
“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.”
Osika: Lovable plans to spend $100M hiring top model-training talent
“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…”
Osika: Enterprise AI strategy should target product velocity, not dev productivity
“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…”
Osika: AI makes generalist skills far more important than deep specialized expertise
“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 …”
Osika: AI model benchmarks decay over time due to Goodhart's Law
“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.”
Osika: General AI progress will plateau while bioengineering advances exponentially
“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…”
Osika: Grok has better team morale and trajectory than OpenAI and Anthropic
“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…”
Osika: The best AI models will always remain closed-source
“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.”
Osika: AI startups must build broad UX flywheels before launching autonomous agents
“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…”
Osika: Lovable will be the most-used human-AI interface within 5 years
“We're the mostly used interface for humans to AI.”
Osika: Lovable rejected Y Combinator due to equity dilution and distraction
“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…”
Osika: Anthropic's enterprise revenue has almost caught up to OpenAI's
“If you look at the enterprise revenue, like, Anthropik is almost caught up to open AI from nothing, from being absolutely dominated”
Osika: Giving AI models long-term memory and context will take years
“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…”
Osika: No single foundation model provider will win the AI market
“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.”
Osika: Per-seat SaaS companies will collapse as AI replaces human employees
“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…”
Osika: Zuckerberg pays top AI talent for domain knowledge, not general skill
“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.”
Osika: Lovable will expand into general business administration and finance
“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”
Osika: Early-stage AI founders should prioritize growth over defensibility
“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.”
Osika: Lovable uses Anthropic for coding but OpenAI for complex debugging
“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.”
Osika: 80% of Lovable's revenue comes from complex app builders
“And 80% of people are in the first category. They're building real complex applications.”
Osika: Prioritize intense work over balance for short two-year stretches
“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…”
Osika: European tech culture fosters superior teamwork and capital efficiency
“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.”
Osika: Perplexity building its own phone is a good bet
“So they're, they want to create their phone, I think, and I think that's a good bet.”
Osika: Early startups must say yes broadly, but scaling requires focus
“What works in the beginning Is to say yes onto a lot of opportunities and try out what works. Once you become more people and you have to follow up and maintain everything that you start, you have to be much more focused.”
Osika: Domain experience can be a negative signal when hiring
“So I think experience can be a negative thing in some cases. You often want people who are super ambitious, they have a lot to prove, and they are more open-minded towards how, how you should work together in the team.”
Osika: Having a team slows down founders shipping V1 SaaS products
“Hey, if you want to ship the first version of your SaaS and start making money, it's all you. It's not a team. Like a team just slows you down.”
Osika: Prompting Remains the Right Default UI for AI
“I think yes. Prompting can, you can do almost anything with prompting and explaining your thoughts in written form.”
Osika: Founders should prioritize minimizing equity dilution over growing the pie
“Here again, like I have a very wise person who was like, no, dilution doesn't matter so much. It's all about the size of the pie. And I think that was, I was both affected by that advice as well as my, like, no, minimize dilution. This is my life, life's work.…”
Osika: Europe has more raw available tech talent than the US
“The most important thing is talent and culture, and it's, More raw, there's more raw available talent in Europe.”
Osika: Tech megacorps won't build the best products for years
“The big megacorps, they move very slowly in many domains. So they're never going to, in many years, they're not going to have the best product on the market.”
Osika: Tesla is my 10-year public stock buy-and-hold pick
“Some talent play. What comes to mind is Tesla. They're also interestingly positioned outside of software.”
Osika: Lovable applications generate over $10M ARR for AI model providers
“We looked at, like, the number, this was a few months ago, but we looked at how much Revenue is flowing through the AI from lovable applications. Okay. And it was more than ten million dollars in ARR.”
Osika: Hyper-personalization will eliminate detailed AI prompting within five years
“Yes, I think so, but maybe it will evolve in terms of how you do it. It will, like, hyper-personalization takes care of a lot of detailed prompting. That we have to do today.”
Osika: Lovable will act as a full-stack AI co-founder by 2026
“I mean, it's your perfect co-founder that you go to with your idea from the idea stage, but also all the way up to growing your business once you have customers and taking care of like what Elena is doing, optimizing the product for growth, optimizing the prod…”