The Ledger, every show

“AI was and still is to some extent very young and is definitely moving very fast. And so when that's the case, really talented generalists can often outperform those who have been in the field for a long time because things are being shaken up so much. If anyt…”

“One broad way that we've been thinking about it from the beginning and are probably going to work more on formalizing it over the coming months and years is this idea of sort of safe scaling or checkpointing. So there could be this kind of alternating step whe…”

“Really the main thing holding back infinite context windows is just, you know, as you make the context window longer and longer, of course, the majority of the compute starts to be in the context window. So at some point it just becomes too, too expensive in t…”

“We have an unusual governance structure, something called the long-term benefit Trust. you know, it's a body that, that kind of ultimately appoints, you know, the majority of the board members for Anthropic and is, you know, made up of financially disinterest…”

“We've said that there should be regulation of AI when all the other companies and the administration have said there shouldn't be regulation of AI.”

“The regulation we've advocated for example, SB in California exempted everyone who makes under five hundred million dollars a year in, in in, in, in revenue, right? SB, SB was a transparency law, which you know basically requires companies to you know, to show…”

“And everything that we've advocated for here not just SB-fifty-three, but all the proposals that we've made, the ones that we've made in the past, and the ones that, that we plan to make in the future, Have this character. We're constraining ourselves and a ve…”

“The technical work on controlling the AI systems has gone maybe a little better than I expected, and kind of the societal awareness has gone maybe a little worse Than I expected.”

“If you have a process that has many components and you speed up some of the components that haven't yet been sped up become the limiting factor. They become the most important thing. And, you know, you might not have thought about them at all, right? You might…”

“You know, we did some studies around code and showed that, you know, depending on how you use the model, you know, we can see, De-skilling in terms of writing code, right? There are different ways to use the model, and some of them don't cause de-skilling, and…”

“I, I'm positive on, like, I think biotech is about to have a renaissance. Like, ultimately we'll be driven by AI. You know, I'm not going to name a particular company, but like you know, nor will I say whether I think it's better to bet on the big pharma compa…”

“We've seen more progress on say math and code where, where the models are, you know, getting pretty close to like a high professional Level and less on more subjective tasks. But I think that is very much a temporary obstacle.”

“I think the actual majority of code that's written, written at Anthropic is, you know, at this point written by, or at least with the involvement of one, you know, one of the quad models”

“And I would also say, if you look at the size of the data centers that we're building with, for example, Amazon I don't think our data center scaling is substantially smaller than that of any of the other companies in the space.”

“My view is that coding is particularly interesting because A, the adoption is fast. And B, getting better at coding with the models actually helps you to develop the next model.”

“Two years from now, my guess is that we'll have models that cost of the same order of magnitude that they cost today, except they'll be much more capable of doing work, much more autonomously, much more broadly than they are capable of today.”

“And so I remember saying, okay, I'm going to give this guy non-voting shares. I'm not going to put them on the board. He sounds like a, you know, he sounds like a bad person to deal with every day.”

“We're getting more compute. We can scale up the models more and we can greatly increase the amount of data that, that is programming. So, so, so we have so many ways that we can amplify this. And so Of course it's gonna work. It's just a matter of time.”

“The most expensive models made today cost about a hundred million dollars, say plus or minus a factor of two.”

“I was one of the, like, co-inventors of that at OpenAI, but since then it's been, you know, improved to power ChatGPT”

“And I said, wow, like, you know, AI is actually starting to work. It has some things in common with how the human brain works, but, you know, has the potential to be larger and scale better and learn tasks like biology. Maybe this is ultimately going to be the…”

“Don't argue with someone else's vision. Don't try to get someone to do things the way you want to. If you have a strong vision and you share that vision with a, you know, a few other people, you should just go off and do your own thing, and then you're, Respon…”

“We've been able to find, you know, neurons that correspond to very specific concepts, neural circuits that correspond to, you know, keep track of how to do rhymes in poetry, and so we're starting to understand what these models Do, right?”

“I don't think we need to build all those things. You know, it, you know, my thought would be, you know, we're gonna, it's gonna be a mixture of things we make ourselves and integrating into others, right?”

“The last time I came here, you know, I met with all the, you know, the major kind of Indian IT and just conglomerates more generally. I won't give names, but, you know, the usual ones you would think of you know, and then we're beginning to work with most or m…”

“The majority of our revenue still comes from the API model.”

“The number of users and the number of revenue we've seen in India has doubled since I last visited in October. So that was what November, December is like three, three and a half months since I visited. It's doubled.”

“Like a business should establish a moat, you know, your moat, you shouldn't be just a rapper, right? Like, you know, I would not advise that, you know, you just say, oh, like, you know, here's a way to interact with Claude. Like I'm going to prompt Claude a li…”

“So we raised, I think at this point, a little short of twenty billion dollars.”

“I won't give exact numbers, but the majority does come through the API, although we also do have a flourishing apps business.”

“When we looked through it was like, you know, it's hard to estimate, but it was something like, you know, maybe .1% to one percent of the data that we scraped was Python data.”

“Our general view is, you know, talent density beats talent mass every time.”

“One thing that I think people are starting to realize, but I think is, is still underappreciated is the longer context and things that come along with that, that we're working on, you know, things in the direction of, you know, retrieval or search really open …”

“We release our interpretability research to everyone and allow other companies to copy it, even though we've seen that it sometimes has commercial advantages.”

“Our set of principles is in our constitution. It's very short. It's five pages.”