Speakers in the public record
Claim mix
belief 18prediction 6evaluation 5uncertainty 4observation 2recommendation 1commitment 1preference 1
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
38 published records
“On the basic hypothesis of, as you put it, within ten years we’ll get to what I call a “country of geniuses in a data center”, I’m at 90% on that. It’s hard to go much higher than 90% because the world is so unpredictable.”
- Publisher
- Dwarkesh Podcast
“I have a strong view—99%, 95%—that all this will happen in 10 years. I think that’s just a super safe bet.”
- Publisher
- Dwarkesh Podcast
“I agree that that doesn’t solve the problem in the long run, particularly if the ability of AI models to make other AI models proliferates, then the whole thing can become harder to solve.”
- Publisher
- Dwarkesh Podcast
“There are three, maybe four, players within cloud. I think that’s the same for AI, three, maybe four.”
- Publisher
- Dwarkesh Podcast
“The chips and the data centers aren’t, and the AI industry itself isn’t. Another possibility I think folks should think about is this.”
- Publisher
- Dwarkesh Podcast
“Again, I’m making much weaker claims here than I believe, to distinguish between two things.”
- Publisher
- Dwarkesh Podcast
“With coding, except for that irreducible uncertainty, I think we’ll be there in one or two years.”
- Publisher
- Dwarkesh Podcast
“The point is to get a reputation of telling the company the truth about what’s happening, to call things what they are, to acknowledge problems, to avoid the sort of corpo speak, the kind of defensive communication that often is necessary in public because the world is very large and full of people who are interpreting things in bad faith.”
- Publisher
- Dwarkesh Podcast
“I think diffusion is very real and doesn’t exclusively have to do with limitations on the AI models.”
- Publisher
- Dwarkesh Podcast
“I would bet it stays pretty fast even as the scale goes to the entire economy. So I think we should be thinking about this middle world where things are extremely fast, but not instant, where they take time because of economic diffusion, because of the need to close the loop.”
- Publisher
- Dwarkesh Podcast
“I don’t know what the critical moment is or if there’s a single critical moment. But I think there will be either a critical moment, a small number of critical moments, or some critical window where AI confers some large advantage from the perspective of national security, and one country or coalition has reached it before others.”
- Publisher
- Dwarkesh Podcast
“We’re going to increase transparency, we’re going to increase whistleblower protection.” But I think by default, the actual benefits we’re looking forward to seem very fragile to different kinds of moral panics or political economy problems.”
- Publisher
- Dwarkesh Podcast
“Again, I think there’s some way to make this happen. The governments of the world may have to work together to make it happen.”
- Publisher
- Dwarkesh Podcast
“The problem is you have this hellish demand prediction problem when you’re buying the next year of compute and you might guess under and be very profitable but have no compute for research.”
- Publisher
- Dwarkesh Podcast
“I think spiritually I feel unsatisfied because my internal expectation was that such a system could automate large parts of white-collar work.”
- Publisher
- Dwarkesh Podcast
“I simultaneously agree with you that it’s a reason why these things don’t happen instantly, but at the same time, I think the effect is gonna be very fast.”
- Publisher
- Dwarkesh Podcast
“We’re under an incredible amount of commercial pressure and make it even harder for ourselves because we have all this safety stuff we do that I think we do more than other companies.”
- Publisher
- Dwarkesh Podcast
“There’s plus or minus a year or two here and there. I don’t know that I would’ve predicted the specific direction of code.”
- Publisher
- Dwarkesh Podcast
“I think the framework you’re laying down obviously makes sense. We’re making progress toward AGI.”
- Publisher
- Dwarkesh Podcast
“Given the serious dangers that I lay out in “Adolescence of Technology” around things like biological weapons and bioterrorism autonomy risk, and the timelines we’ve been talking about—10 years is an eternity—I think that’s a crazy thing to do.”
- Publisher
- Dwarkesh Podcast
“I said this in “Machines of Loving Grace”, I think we may get 10-20% per year growth in the economy, but we’re not gonna get 300% growth in the economy.”
- Publisher
- Dwarkesh Podcast
“I think we say it in various ways in the constitution, that under normal circumstances, if someone asks the model to do a task, it should do that task.”
- Publisher
- Dwarkesh Podcast
“I suspect even composing the technical exponential and diffusion exponential, we’ll get there before 2030.”
- Publisher
- Dwarkesh Podcast
“If every year we predict exactly what the demand is going to be, we’ll be profitable every year. Because spending 50% of your compute on research, roughly, plus a gross margin that’s higher than 50% and correct demand prediction leads to profit.”
- Publisher
- Dwarkesh Podcast
“In the sense that you, let’s say a developer at Anthropic is like, “Ah, it would be better if it was better at this X thing.”
- Publisher
- Dwarkesh Podcast
“I don’t know what quite happens in that world where basically anyone can do anything, anyone can build anything, and there’s no moat around anything at all.”
- Publisher
- Dwarkesh Podcast
“Philanthropy should obviously play some role, as it has in the past. But I think growth is always better and stronger if we can make it endogenous.”
- Publisher
- Dwarkesh Podcast
“Someone’s going to come in, someone’s going to edit it. They’re going to be like, “Oh, I don’t know, Dario scratched his head and we could edit that out.”
- Publisher
- Dwarkesh Podcast
“I don’t know if this is his perspective, but one way to paraphrase his objection is: Something which possesses the true core of human learning would not require all these billions of dollars of data and compute and these bespoke environments, to learn how to use Excel, how to use PowerPoint, how to navigate a web browser.”
- Publisher
- Dwarkesh Podcast
“Then, if these risks emerge when we’re more certain of them—which I think we might be as soon as later this year—then I think we need to act very fast in the areas where we’ve actually seen the risk. I think the only way to do this is to be nimble.”
- Publisher
- Dwarkesh Podcast
“Let me just go on, because I think we will get diffusion eventually. The other concern I have is that governments will oppress their own people with AI.”
- Publisher
- Dwarkesh Podcast
“That’s one of the things I’m trying to change with the memos, with talking to policymakers. I don’t know but I think that’s just a crazy thing.”
- Publisher
- Dwarkesh Podcast
“Then further down the spectrum, there’s 90% less demand for SWEs, which I think will happen but this is a spectrum.”
- Publisher
- Dwarkesh Podcast
“One way I think about it is if the technology is advancing quickly, if it’s advancing exponentially, what that means is there’s always a surface area of new use cases that have been developed in the last three months.”
- Publisher
- Dwarkesh Podcast
“I think there’s something going on where pre-training is not like the process of humans learning, but it’s somewhere between the process of humans learning and the process of human evolution.”
- Publisher
- Dwarkesh Podcast
“I think in retrospect that was the right call, because it’s a state authoritarian system but a billion-plus people are much wealthier and better off than they would’ve otherwise been.”
- Publisher
- Dwarkesh Podcast
“There’s a question of how much of that goes to the pharmaceutical company or the AI company, but there’s an enormous consumer surplus because —assuming we can get access for everyone, which I care about greatly—we cure all of these diseases.”
- Publisher
- Dwarkesh Podcast
“Because when I think of actual human geniuses, an actual country of human geniuses in a data center, I would happily buy $5 trillion worth of compute to run an actual country of human geniuses in a data center.”
- Publisher
- Dwarkesh Podcast