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 5,285 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 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
Stark: Early ICO windfalls create perverse incentives that impede shipping products
“There can be perverse incentives because now there's so much money and they're not actually able to ship a product.”
Rampell: Blockchain without cryptocurrency makes no sense
“I very much believe this, and I think we all do as a firm, a blockchain without a cryptocurrency literally makes no sense, because there's no incentive for their participants to host the blockchain.”
Rampell: Incumbents must get innovation before startups get distribution
“The battle between every startup and incumbent really comes down to this one thing, which is whether the incumbent gets innovation before the startup gets distribution.”
Andreessen: Early startups require five years of 18-hour days to succeed
“There is no substitute. The big takeaway, and this applies to everything we fund, and it's what we work on all the time, there is no substitute to the first five years of people in the office, 18 hours a day, six days a week, grinding away. And it's grinding a…”
George: Capital Directly Compounds Advantage for AI Labs
“But right now, especially with the labs for the first time, you know, in my career, you can take capital and throw it at a company and it compounds their advantage.”
Verdian: Late-stage funds require 5% to 10% position sizing in top company
“Venture-like returns are possible in late stage, but your best company should be five, 10% plus of your fund. That way you can actually return the fund on a single company. Fund returning math in late stage didn't exist before. It now does.”
George: AI diffusion beyond coding will be slow because tasks lack verifiability
“Coding hit, but that's kind of a head fake, right? Like coding, coding is perfectly documented, right? So it has like perfect data. It's verifiable and it's simulatable, right? And so like most tasks in business do not share those three attributes. And so, you…”
Verdian: Private equity cannot fix software companies by deploying AI operating partners
“You can't just throw an operating partner at the company and say, let's put AI on it. It just doesn't work. You need to completely, and if you have, by the way, if you do have a founder mentality at the management team, like, it is possible, but the board has …”
Verdian: US AI energy bottleneck is regulatory speed-to-power, not baseline generation
“The U.S. Doesn't have a problem with energy generation. It has a problem with speed to power. That's permissioning transmission. That's regulatory.”
Chi: Bundling model evaluation with data consulting produces pay-to-win benchmarks
“If you look at auditing as an industry, you end up with issues like Enron, where if you have the same group who's responsible for doing the audit, as well as also consulting and supporting the company, you have a mixed incentive structure, and then it just bec…”
Ben Mildenhall: 3D reconstruction is generative AI with a long context window
“Reconstruction is just like generation with a really long context and you put a lot of stuff in it. Yeah. Right. Like that's the way to actually build this continuum where you kind of bridge between those two things.”
Rampell: Consumer business models degrade as CAC value flows to Google and Facebook
“I mean, Casper got to scale, but lots of CAC, and that's why a lot of these business models, they tend to degrade over time, because all the economic value goes to Google and Facebook.”
Enterprise AI Providers Must Vertically Integrate Compute to Be Low-Cost
“You're just simply not going to be the low cost provider. If you're not vertically integrated, if you don't own your own compute over the very long. Long-term.”
Raghuram: AI bottlenecks have shifted from models to physical infrastructure
“What we have seen over the last three years is the steady increase of the capabilities of the models. Where the model is no longer the bottleneck. And in fact, using AI, these models are getting better faster and faster and faster. Now the bottleneck is all wh…”
Horowitz: AI compute demand will not decline until humanity lacks problems
“Any problem that you have can be solved with enough infrastructure and money. And so until we run out of problems, we're not going to run out of demand.”
Horowitz: Billions in compute can now instantly erase a startup's multi-year lead
“The one thing we all knew in startup world is that if I have a two-year lead on you, and you try and cast me by hiring a thousand engineers, you're gonna wreck your company. Like, that never works. It's a mythical man month. Nine women can't have a baby in a m…”
Casado: AI agents work best as autonomous digital employees with dedicated computers
“GrokBot got really right is, no, how about if it's actually an employee? So now you have this thing that's an entity, and it doesn't have, like, special access to your keys or whatever. It has its own computer, and it has its own browser, and because these are…”
Casado: Multibillion-dollar AI training costs justify building per-model custom ASICs
“Today to build a frontier model costs, let's say, three to five billion dollars, right? So, and let's, you know, and that's to train it. And so the inference has to pay back at least that. Of course, right? You know, in order for any of this stuff to be viable…”
Casado: Building an AI Coding Model Requires a Frontier Language Model
“It turns out that you don't speak to these models in code. You speak to these as humans in natural languages. Therefore, the model has to, like, understand, like, the breadth of human experience and language, right? And so, you know, that means in order to bui…”
Casado: Product-First Startups Should Build Standalone Apps Over Plugins
“Like if you really believe in the product, you would never do a plugin because then you're part of somebody else's product. If you really believed in the product, you wouldn't do enterprise early, you do it later, because the product itself is the kind of go-t…”
Acharya: Enterprises should always pay for frontier models in unbounded jobs
“We really think that the kind of rational architecture and the one that is emerging is that for jobs that have unlimited upside, like sales or product, you always want to use frontier tokens. And the reason for that is you just don't know what the value of the…”
Acharya: Domain-specialized open models outperform general models through RL and reasoning traces
“If you actually have a problem that you can specialize the model around with your reasoning traces, You can start to create this compounding advantage in your domain for your customer base, where you're able to kind of shape the intelligence to be better than …”
Acharya: App aggregators hold an advantage by offering best-of-breed multi-model intelligence
“This is a place where the application layer really shines because labs, of course, are both incentivized and structurally only able to provide their own in-house models. You as an application sort of aggregator can provide the best of breed.”
Acharya: Consumer AI resembles Web 2.0 distribution, not mobile app stores
“There's no app store for AI. So this actual product cycle for consumer looks more like Web two point O, where you have to kind of build the channel alongside the product and less like mobile, where you actually have the central point of distribution for the en…”
Acharya: Multi-model competition prevents AI labs from capturing application margins
“I think if we lived in a world of twenty-twenty-three when it was one model to rule them all, it wouldn't even matter if you had permission, because the labs would just take a hundred percent of your gross margin over time. But now, because you've got many opt…”
Casado: AI programming differs from past abstractions by abdicating deterministic logic
“If I'm writing a program, I'll like, whatever, I'll use a cloud database, I'll use storage, I'll use networking, you know, whatever it is, but like correctness and logic for the program is under the programmer's control. Maybe I'll use a third party library. B…”
Casado: 20-person AI startups can productively deploy $1 billion
“And right now, if I give. 20 people a billion dollars, they can actually use it usefully. It's very, so it's like we've kind of moved the industry from like this engineering bound problem to a capital problem.”
Sinofsky: Drug discovery bottleneck is clinical safety testing, not candidate generation
“This is not a magic to discover drugs, because the hard part of drugs has always been candidates. Not candidates. It's always been efficacy and safety. The candidates have, since the eighties, have been able to develop more than we could test. It's human patie…”
Casado: AI converts complex scientific exploration into pure capital problems
“No, you're building the machinery. I'm saying in this case, if you're like, I want to exhaustively explore every protein combination. Right. We can just turn that into a money problem. Yeah, yeah. It's kind of very strange.”
Gaybrick: Microtransactions are necessary for agentic commerce and enabled by stablecoins
“So I think microtransactions will just be necessary for that economy to exist, the sort of agentic economy. And then on the flip side, they're now eminently possible. Because of stable coins.”
Kalanick: Leading 20,000 people requires being hardcore without being bad
“How do you lead 20,000 people and get them oriented towards a beautiful mission? And those 20,000 people are great minds, optimistic, good people. How do you do that? You can't do that by being a bad person. But you have to be hardcore.”
Schmidt: The AI shift enables selling big platform software again
“There's a moment right now to go sell You know, big software again. Right. And to go sell platforms and it's because of this moment. And so I think people need to be studying kind of the 15 years ago models of like how people build this and the ecosystems arou…”
Tan: Great ventures begin as cults with beliefs defying orthodoxy
“From Palantir, I definitely learned that everything that's awesome in my life is kind of a cult. That starts with some sort of truth or belief that flies in the face of an orthodoxy, which is very punk, actually.”
Tan: A markdown file is an employee that executes tasks perfectly
“A markdown file is an employee. And it's an employee that will do the job perfectly every single time. And it'll do it like as many times as you want.”
Tan: Startups use AI to compress six-month product releases into days
“Like you could release something in a day or two that would have taken like six months. And if you could like multiply that out across, like the thing is like probably an org like Microsoft can't. But, like, a startup can. And every startup must.”
Massa: Handing LLM tools to unchanged teams yields zero efficiency gains
“The first, and this is where I think many companies are stuck right now, is the first instinct is, okay, let's adopt AI. And you basically leave your structure as it is and just give ChatGPT or Claude to your team. And then there's no efficiencies. Your custom…”
Handing AI Failures to Tier-Two Support Fails Without Closed Feedback
“Most of these agentic systems in production right now, like large scale agentic systems, usually if an agent hits a wall or can't perform anymore, it'll like send the, this case or this customer to a tier two support and forget about it. That doesn't really wo…”
Massa: Enterprise AI transformation must be top-down, not bottom-up hackathons
“The first is it has to be top down because of this. Like, if you just get adoption, it won't go anywhere because it's hard to generate this taste or strategy for people to bottom up, decide what to build and whatnot, and come up with something that works for t…”
Zhang: Open-source AI is strictly better once production use cases solidify
“But I think the point is that at a certain point, it's strictly better to use open source models because when your use case is solidified and you're in production at scale and you're pretty sure this is the sort of shape of the agent, then there's no reason no…”
Sreenivas: Deploying custom open-source models eliminates major AI cost pressures
“If we ran our entire business exclusively on frontier models, I would care a lot about costs, and I would think a lot about that, but once you're already, once you've already made the jump to saying, okay, now, now we know how to think about open source models…”
Zhang: Enterprise procedures must be taught to AI in-context, not fine-tuned
“I'm sort of teaching the AI my own procedures. And again, that doesn't happen through fine tuning. That, that happens like in context, because if you were to fine tune on that, you would have to reverse it every single time. You know, you change your procedure…”
Sreenivas: Early-stage AI startups need forward-deployed engineers for unproven workflows
“Forward deployed engineers are necessary or newly necessary for early stage AI companies because the workflows are new. Right? If you're building a SaaS company five years ago, most SaaS products are pretty well explored, right? Like you roughly know what the …”
Sreenivas: AI productivity gains will drive companies to build more, not fire
“Everybody has access to these tools, and so if our competitors are going to use them and build more things, we need to build more things, right? If somebody else said, oh, here's our roadmap, and now we can get through it in, you know, a third of the time, and…”
Rampell: The AI labor market is vastly larger than traditional software
“That's where the market just expands massively once you throw in labor, because it's like you have this tiny, tiny market for software, which by the way is not that tiny. It's like a trillion dollars. Concentrically around that, you have like, you know, big on…”
Rampell: Incumbents can innovate much faster in the AI era
“So I kind of think the same rules apply, you know, the battle between every startup and incumbent comes down to whether the startup gets the distribution before the incumbent gets the innovation. But with many changes, one change is the incumbent can get the i…”
Ludwig: Cruise's robotaxi model conflicted with GM's personal ownership business
“Cruise was going after the robotaxi concept, but GM makes its profits from personal car ownership.”