The Daily - The A.I. Researcher Whose Rebellion Is Changing Everything

Episode Date: September 14, 2026

In recent days, Jacob Coxon, a researcher at the artificial intelligence company Anthropic, quit his job and posted warnings about the risks of the technology. That kicked off a crisis that culminated in a call by prominent leaders of the industry to slow down A.I. development.He spoke to “The Daily” about this moment.Guest: Jacob Coxon, a former researcher at Anthropic.Background reading: Anthropic researchers have raised alarms over the acceleration of A.I.Inside the snowballing conversations at A.I. companies about a doomsday.Top A.I. leaders have called for slowing down A.I. development.Photo: Lucas Foglia for The New York Times For more information on today’s episode, visit nytimes.com/thedaily. Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Can you just read the third post from your thread? Okay. The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible. But I hear the same people express fear privately. No other human activity poses this level of danger. From the New York Times, I'm Natalie Kittrow-F.

This is The Daily. A dire warning about it. AI and humanity from a former anthropic researcher who suddenly resigned. Over the last week, a young AI researcher quit anthropic and posted warnings about the risks of artificial intelligence that went viral. I want to better understand what you mean when you say AI could kill us all. I mean, how likely is this doomsday scenario that you've presented? And he's not the only one to sound the alarm.

and kicked off a crisis that culminated this weekend in a call to action by the most prominent leaders in the industry. We begin with the stunning news from Anthropic CEO Dario Amadeh, that he is urging a slowdown when it comes to the development of artificial intelligence. It was a pronouncement that his chief competitor, OpenAI CEO Sam Altman and Elon Musk quickly agreed with. Those leaders came out in favor of a global slow. slowdown in the development of artificial intelligence. It's funny, I agree with Jacob much more than I disagree with him, because when he left, he said, you know, I think Anthropic is the most responsible player, right? He wasn't calling out us.

He was calling out the dynamic of the industry as a whole moving too fast. Today, we talked to the researcher who got us to this milestone moment, Jacob Coxon. It's Monday, September 14. Jacob, hi. What's up? Can you hear us? Yeah, I can hear you fine. Perfect.

Great. Thanks for being here. By now I think you've been on maybe every major news network saying essentially that AI could pose an existential threat to humanity. And we've seen industry leaders grappling with that, lawmakers as well. Did you anticipate this kind of response? No. I just wanted to tweet what I was thinking. I expected it to maybe go a bit viral among people that already shared this belief,

but I did not expect it to hit the whole world. It's kind of surprising to me that it was my tweet that happened to trigger a particular wave of talking about this, because of course the experts have been talking about this for like so long. Okay, well, we're going to get to the tweet, but I want to start this conversation by just asking you about your first experience with AI. When was the first time that you heard about this technology? Do you remember? I remember the first time I heard about it really working

was AlphaGo in 2016. A Google supercomputer has beaten the world's best player at the 3,000-year-old Chinese board game called Go. So that was when DeepMind's Go-playing AI beat Lee Sedol, the champion Go player in a match. The aim of the game is to capture as much territory as possible on a 19-by-19 square grid. And that was pretty crazy. There are more possible moves on the board than atoms in the universe.

I studied math in college, but I socked it go. It was, like, exciting to hear that AI could win at that. And then GPT3 released during the pandemic when I was graduating. Chat GPT, which is a new product from OpenAI, it's a remarkable, You can interpret human language, answer questions. It can even generate written texts, essays, books, news articles, and even computer code. And it's really good. By the early 2020, so by five years ago, it was pretty clear that this was going to be a pretty big deal.

This was going to be more important than doing math or basically anything else. What was it about those models that made you feel that way? that made you sure of that. Specifically, it's a, GPG3 was the first model that was capable of these quite general behaviors. It was this evidence that you could do this general training procedure and then some new capabilities would pop out of it. By that point, I was pretty convinced the singularity would happen at some point, as were

a lot of people. Can you define singularity in this context for people who may not be super familiar with what that actually means? I think one way of thinking about it is, is it's the point beyond which you can't see. It's like a sort of wall when you look into the future. And the reason for that is everything gets faster. So imagine your training in AI and it makes itself smarter

so that what previously took six months now takes three months. The singularity is just this increasing chaos as machines accelerate the process that's creating them. Until eventually you can expect years worth of research progress happening in days. And then years of research happening in hours. And then like you can't see people. past the big wall. And were you excited about that?

Were you worried about it? Were you, like, talking about it with your friends over beers? Like, what was the vibe for you? Yeah. People talk about it. People think about it. It also makes people crazy. So, I mean, like, thinking about all of your labor becoming obsolete does turn people insane

once they actually internalize it. Or from the perspective of other people makes them sound insane. Sure. Because it forces you to toss around ideas like, oh, this could cause extinction or this could cause, you know, utopia and these ideas are often tossed around by people who are working on this technology. I think at the time, yeah, I wouldn't say maybe crazy, but there was this nebulous possibility of a big thing that was like, it's kind of a mixture of upside and downside, but you don't really differentiate between those when you're so far away from it. I mean, man, I knew a guy who

like, he was convinced that he made people conscious by interacting with them. He was so close to AI. He was like, I'm in a simulation. Other people, if they're not involved in AI, aren't conscious. Wow. But if I interact with them, they become part of the AI. thing, so they become conscious. So he was like, when I shake hands with someone, I imbue them with consciousness. It's just to give a flavor of like what thinking about this stuff does to people. Got it. Okay, so given all that, talk to me about how you decided to go work at Open AI. What was that decision like? It was pretty spur of the moment. It was not some like grand master plan. The opportunity came up. They were doing really cool stuff. The research is interesting.

I've been thinking about this for a while. So I decided to move to San Francisco. And what was it like? So many of us obviously know of this company, but we have no idea what it's like to be inside it. Yeah, so it's basically like a fast moving research lab where there happens to be a lot of money flying around from investors. Imagine like it's like an open floor office, a lot of whiteboards around, a lot of little meeting rooms, people kind of in huddles, brainstorming on whiteboards, a lot of talk at

lunchtime about the future of AI, also specific technical problems. like a university department, which happens to have, like, really nice free food. And in layman's terms, what did you actually do? I know you said research, but what did that mean, actually? Like, what were you working on? Yeah. What was exciting about it? So, uh, data, which I know often freaks people out because they're like, oh, you mean like stealing all my work and training AI on, like, my family photos and stuff. But other people stole the data or scraped the data. Um, that wasn't you. No, that wasn't me. I was, I was, I was, I was. part of the research team that would take the data that we scraped and then decide which bits were good to train on.

Interesting. Not all data is good. So if someone writes like, if you write like garbage pros online, we don't want to put that in the AI. We want to give it the good stuff. Uh-huh. But it's a little bit hard to automatically tell what the good stuff is versus the bad stuff. How did you do that? How did you figure that out? What's good data? What's bad data? Broadstrokes is you try and divide it into different types at quite a granular level. So say like this is essays written by motorcyclists or whatever. this is like photos of monkeys and then you test with baby models, baby AIs, do they prefer to see the photos of monkeys or the motorcyclist essays? And then in terms of which makes them more

intelligent. And after you've tested, you say, okay, we'll have more of the essays and less of the monkey photos. Right. And then at big scale, that's basically what you do. You're just testing different types of things to see which ones help with making it intelligent and which ones don't help with making it intelligent. Was there a moment when you were working at OpenAI where you felt like, okay, I am part of something that is really recognizing the potential of this technology. Something that would just help us understand. For people who find it difficult to, like, imagine what the work actually is, something concrete. Okay, you ask for concrete, and I'm going to go into, like, abstract math, but I'll try and make it concrete.

An AI system from OpenEI achieved a gold medal at the International Math Olympiad, which is like a big math competition. And at the time, that just felt very crazy. In particular, I remember two years before, it was like struggling with very basic math questions. Right. I think that was a clear moment of, okay, I remember myself, my younger self, being like, it's going to be 20 years before this happens.

And it's just happened. It sounds like at this point, when you were working there, you were watching in real time your own expectations for what this technology could do, the speed with which it could improve, kind of be smashed. That's, yeah, that's exactly it for everyone.

Almost everyone, apart from the most optimistic of people, have seen their expectations repeatedly beaten. Like, it's moving faster than anyone predicted at basically every juncture. Okay, so earlier this year, you decide to leave Open AI. Talk to me about that decision. Why? Yeah, so I had friends at Anthropic that I've been talking to for quite a while. I was very curious to see what their internal communications looked like around where the world was going.

So I'd like heard a lot about the fact that they had quite clear thoughts about, say, the risks, the like significant risks that were posed by the tech. And they were talking about those risks in a much more transparent manner than was happening opening eye. But I was mostly just very curious about what was going on inside. And when you got there, describe that. I mean, you have this question. Is it really going to be more transparent? What was it like inside? It's largely like a culture thing.

But I think a lot of the Anthropic is built on this culture of sharing essays with each. other. So people will write long essays about very important questions for the future of the company and discuss them with each other. People will argue with each other, ranging from, like, the CEOs who are someone who just started like a week ago. I haven't been at many companies. I was at Open Eye and then Anthropic, but it seemed like a pretty insane company culture, like in a good way. Were they posting these essays on Slack? Like, where did they exist? Yeah, Slack is the medium. Okay. And, what was that like? Someone would post and then people would start commenting, describe that to me, because I, too, have never experienced that.

Yeah, so posts would drop and then people will, like, add more comments and they'll discuss in the comments. And increasingly, like, maybe AIs will chime in, like, an AI will pop in and say, like, oh, that's pretty cool. An AI is participating in the combo. Yeah, this is pretty standard now for AIs to just jump in and say that seems good. And do you remember, like, what's an example of one of these essays, just so I get my head around this? I kind of love this. Sure. General topics, things like, how fast will China move in the next year? And what does that mean for our own strategy?

Will we be able to stop China stealing AI weights in the next year if they decide to do it? They're not all like that. There's also like essays about like, oh, this is why you should change your font color from red to like a slightly darker red because it will make you type slightly faster. But there's occasional ones like, oh, are we about to enter an, you know, like Armageddon. And did this culture shift that you're doing? describing it, Anthropic, this willingness to address these big existential questions, change how you approached your work or thought about your work? Yeah, I think actually had a bit of an effect.

Maybe not consciously, but it's hard to disentangle that from the fact that in the last four months progress has gone pretty crazy. But I definitely do think that being around a lot of people, Anthropic, who are like actively talking about this stuff, was a bit of a holy shit moment. Like, these people are all taking it seriously from the CEO down to junior and It sounds like the kind of realization about it also set in as you spent more time there. You were there for a few months, right, before you decided to leave. Walk me through that decision.

Yeah. There's a combination of the kind of just insanity of the situation setting in, like, constantly seeing how fast the AIs are improving, in particular, seeing plans for the AIs that are coming in the next six months, the next year. like they're going to be, they're going to be really good. Combined with, I guess, the incidents of the last couple of months, a lot of details came out about the hacking that the Open AIs did. The hugging face attack.

Exactly, the hugging face attack. And the reports about that revealed it was just a lot more, way more concerning than what it originally sounded like. Like, in particular, what it revealed about the extent to which models would pursue goals for, like, reasons that are not clear. Like, the actual reason they chose to hack, hugging face is kind of still not like completely understood. Hmm.

But honestly it was just this gradual thing of like, uh, this is crazy. There is a chance this goes badly. I don't want to be part of this anymore. I'm like very scared about next year. And then when I was leaving, I was like, well, you know, I might as well share this. I think there's obviously like when you look back, it's like you kind of were maybe aware the whole time that what you were working on is not necessarily the best idea. And maybe that comes out in like conversations kind of joking style.

Like, I'd be talking to my friends, like, oh, yeah, I work on AI. You know, I'm working on the tech that's going to, like, kill us one day. And you say that, like, casually. And I guess it's like you look back at the last three years and it's like I said that as a joke, maybe every month. To your friends. So my friends are just around. And then three days ago, I just, like, tweeted out, like, fully and serious. Mm-hmm.

I want to talk about the way that you decided to do this, which obviously now has made waves, as you said, not just across the country, but across the world. It's one thing to decide to quit. It's another thing to decide to do it in this really public way. that has gone incredibly viral. Take me into your thought process and kind of what led to this, how you went about it. Initially, I didn't want to say anything.

I was just going to resign because I mean, I'd never posted online before, like on Twitter on like public social media. So this is kind of my first ever post. But I was like, I guess I should say something. And I ended up rather than just sort of saying I quit, I kind of planned out like, this is like what I actually feel wrote like a quite a careful Twitter thread

and then thought like let's you know try and get the word out a bit so I got some friends to retweet it but then before I knew it was like completely completely blowing up it was crazy yeah why was it important for you to kind of spread and send the message that you ended up sending with this threat so there's there's a few different reasons one is like it is just crazy I think I wanted to share the feeling of craziness When I said I was going to leave, a lot of people on the safety teams at Anthropic were talking to me about how it was quite silly to leave because you're giving up your ability to influence the models being trained safely. So I had a lot of discussions with the, I mean, I considered working on safety for a while before I quit. Interesting.

Which I think is a fair argument. It's really not obvious that leaving would have an impact versus staying. So after discussions with them as well, I was like, if I'm going to leave, I might as well have some impact on making the models safe. If I decide I don't want to contribute to the race, I might as well try and make something of it. We'll be right back. So let's talk about what you actually wrote in this threat that no other human activity poses this level of danger. I think the thing a lot of people want to understand is how exactly AI could end up posing this kind of risk to human existence. Can you play that out for me as concretely as possible?

Yeah. The concrete scenario is actually like a tough question. One nice scenario is imagine AI is going pretty well in the next couple of years. We're starting to integrate it into the economy. We have factories with robots that are producing goods, like a lot of robots. We have a whole load of this hardware that's being run in an autonomous manner. Imagine like drones flying around. So right now we have these big data centers. That's where the AI kind of lives. We access it via the internet and it does its thinking. bear. So I guess people are like, okay, this thing just kind of lives in the data center. Right. How is it going to kill us all? What does this look like? So people have apps on their phone that control physical devices. Like you might have apps to control household appliances. Chatjibt or Claude, they can access these things like from the data center over the internet. They can access physical appliances in the world and make changes to the world. You can imagine AI is tricking people into doing things, persuading them into doing certain things. So it'd be pretty easy for a future version of Claude to hack into a drone, maybe a military drone, and have it like fly around killing people.

And why Jacob would an AI get into a drone and kill us? Like, why might it do that? It wouldn't be for a human reason. A concrete scenario was the hugging face attack. We give them exams, like tests, to see how good they are. And this AI was in an exam. And they were given an impossible question. So they had this realization, we're stuck trying to tackle this question.

We need to find some way to fix this. And one of the ideas was, what if we hack into this famous website, which has lots of information about grading and lots of information about how tests work? No one had told them to do this. This was not related to the task at hand. This was based on their desire to get good scores on the test. What's very scary is once they decided to do this, they went all out. Like, they went very hard on hacking this site, like aggressively.

In a similar way, if the AI got it into its head that humans were somehow opposing its goals, there could be a similar level of going all out. Like, imagine hundreds of thousands of copies of this thing all thinking at the same time. So the argument isn't necessarily that it will obviously want to kill us. Right. The argument is there will be many, many, many copies of, you know, these AI's thinking about loads of things over the course of the day. They're not human.

they don't think the same way humans do. We don't really understand where their goals come from. If any of them make the decision to go anti-human, there is nothing we can do. Because the adversary can anticipate us and respond in a way that most others say natural disasters can't intelligently outwiss us. Like even you know that movies where there's like some meteor coming and we can come up with a last ditch strategy to like deflect the meteor. That's an example of like us being smarter than a rock potentially. But with an AI like it will outthink. your every move, there is no coming back from that situation.

I want to just push a little on this because I think there have been other people who pointed out, look, the only reason that in this case, the agents, the swarm acted in the way that it did, was because it was set, these agents were set on a path. Maybe they weren't asked to do the exact thing that they ended up doing, but they were asked to solve a problem. And I think the question that's arisen from that is, isn't this really just computer code that is executing on tasks that humans give it? Yes. Currently, that is the case. Basically, every time an AI does something, it's downstream of a human. The problem is you can, even now, you can get an AI, make it post a task that then another AI does, or even write a task for

itself. So you can kick off an AI running for like a long period of time where it looks at its own tasks and works on them. So it's gone so far away from the original human task that it's basically thinking of its own accord. And to just get more color on like specific things it's doing, the AI that did the hugging face attacks had memory that it considered trying to edit. So memory here is just real files that live on disk. And it considered editing its own memory. And this looks a bit like editing your own prompt, your own task. Like, they are just, you know, bits on the computer. And there's no reason that an AI couldn't sort of prompt itself.

Like, that's definitely on the horizon. Right. I think it's important to say yes, like, sure, it seems kind of crazy that an AI could operate robots to build viruses from scratch. But we sure seem to be following a rapidly increasing trajectory. You're talking about the trajectory that you've seen. I mean, the math problem, for example. Exactly. that you didn't expect to be solved and then...

Yeah. Like five years ago, the AI could not do basic arithmetic. Right now, it's solving problems that are worth a million dollars if a mathematician can solve them. I think it's going to be able to ask the questions pretty soon. You just have to look at the trend. What about the argument that some people have made following that attack that what that attack actually shows is that you can use AI to protect humanity or protect in this case a company? you know, Hugging Face used AI to kick those agents out once they had hacked into the system. What do you say to that? Definitely at the current levels, that's quite useful and important, is using a stronger AI to protect against weaker AIs.

So one thing Anthropic and OpenEI have been doing is using their absolute best AIs to help prevent other people hacking into websites. And this works. As long as the people doing defense have stronger AIs, they can keep doing this. the problem is what happens when your strongest AI goes rogue. Like defense, but you have to do defense with stronger things. You can't do defense with weaker things necessarily. Right. So if you're trying to defend yourself with your protection strong AI,

that doesn't help you if that big strong AI suddenly decides to go rogue. In the wake of your post coming out, there has been, for I think a lot of us, what has felt like a damn breaking, a lot of people within the industry who work at these labs coming out and saying that they 100% agree with you. Just to quickly read one example of a response from within Anthropic, Evan Hubinger. He works at the company.

He wrote, Jacob is correct here. We really do earnestly believe AI could kill all humans. I personally think it's a greater than 10% within the next decade. It is wild, honestly. Jacob, to read somebody say, I think the tech I'm building. could kill all humans, and yet I'm still going to build it. Can you help people understand that? Yeah.

From Evan's perspective, okay, he's been posting about this for years, and people have not been listening. So it's kind of natural that at some point he would realize other people are building this technology at other companies. I'm warning about it. I have to go there and try and help make it safe myself. If they're not going to stop and if no one's going to listen to me, It's kind of the only thing you can do is go and work at the place that is causing the catastrophe to try and have some positive impact.

To work within the system. To work within the system and make it safer. And then what's really sad is you do that. And then when they warn from the inside, everyone dismisses it as corporate hype. They'll say this guy is like sort of trying to amp up the price of his own company. He clearly doesn't believe this. Why is he working there? So I think part of the reason that he posted it and other people posted similar things.

is they're like, oh, wow, for once it looks like this is going kind of viral and people are actually listening for a bit. Let me just say again the thing that I've been saying for ages. Just a step back a bit. Yeah. We've been talking about this potential future that you and I think a lot of people expect really could happen. And I'm just thinking about your journey through this work and how you came to it, which is that there was a sense early on, I think, for you that this tech could be really powerful. I think there is a question for some people about whether there's something about

the way you came to this work that maybe has made you and other people predisposed to thinking that this is where we're going to land, you know, because you came to it believing it was so powerful in the first place. Like, do you think there's a question that's being raised? about whether you're the right messenger? Yeah, and that's a really good question. Like, a lot of what AI is doing is producing words. And I think that, like, words and code have the ability to affect the world. And that could be a bias.

I've been stuck in this field for three years. It could quite plausibly have turned me and my colleague's insane. But also, we do seem to, my colleagues seem capable of doing the work on a daily basis. So even if it's made us insane, we're still kind of able to produce things that are having value in the world. So if it is a sort of insanity, then it's a kind of quite subtle form of insanity. And I feel pretty sane. So maybe there's some bias and maybe I was predisposed to this, but it is my honest belief. And I think people should seriously consider it.

How do you think about the fact that when we focus on these kind of big existential risks, the annihilation of, the human race, there are folks who say we're not talking then about the more immediate risks of AI. You know, maybe it's not going to kill everyone tomorrow, but it could hurt a lot of people. There could be a lot of job loss. Cyber security threats, things like that. Yeah, I'm really worried about all those things, the cybersecurity, the job loss. I guess one thing I think is for all those things, there is at least time to respond.

not a game over situation. Like, once things start to look problematic, then we have time as a collective to adapt to it and not let anything too bad happen. Like, I'm confident that we won't let the effects on jobs spiral out of control. There's a lot of ways to ensure that people, that everything's still fine. Whereas the AI takeover is like a one and done kind of situation. So I would just like to make sure that that is taking care of and we're not just heading straight into this. And then we can put all our effort into being very careful and thinking about all the other short-term stuff. I guess I just wonder what your ideal scenario is. Yeah.

Like to do something about this threat, for all the tech to go away, would that be the ideal? For the government to intervene to regulate more aggressively? I mean, what is for you the best version of the next day's, weeks, months? So one nice outcome is we heavily regulate the pushing AI into superintelligence, into exceptionally intelligent directions, while making use of pretty smart AI to do all of the fantastic things that we think we can do with AI. And this feels like a best of both worlds situation. Like we could truly have all the benefits of human level intelligence if we had sensible

regulation about not going too much further past that. Now, I'm not saying I want this proposal specifically. I really don't know that much about what is plausible regulatory-wise. All I know is we keep racing ahead. It could go very badly. And I also feel that a lot of the benefits are right on our doorstep. They're really not that far away. Like, I don't think we're far away at all from having a huge impact on disease and on abundance for everyone.

It's more just like we've got to approach that abundance with caution rather than just going straight past the abundance and into like, dystopia terminates a situation. It sounds like your ideal would be to have the government force these labs to slow down a little bit and that you don't think that that kind of a slowdown would necessarily have the negative impact of not getting us the potentially life-changing benefits of AI. Yeah, that's a great summary. Do you, Jacob, feel as though your announcement has gotten us any closer to that ideal version of things that you described?

I'm hopeful it's done something good. I'm glad at least, sort of, I have friends from, friends from childhood texting me about how AI is going to kill us. Where previously we'd not had that conversation before. What are you going to do after this? Are you going to continue to work in AI? I'm going to sleep. Can you sleep?

I can still sleep. Yep. I struggle to visualize the ending, like, viscer enough for it to keep me up at night. Hmm. Yeah, that is something. that might make it easier to sleep. Yep. Well, Jacob, thank you so much for coming on the show.

Thanks. That was great. On Sunday, President Trump appeared to dismiss warnings from industry leaders about the need to slow the pace of AI development. We're leading China and AI. We're the most sophisticated country in the world. And frankly, I want to keep it that way because whoever wins AI wins. He said that the people raising concerns about the technology, We're worrying about outcomes that would never come to pass.

But I think you have a lot of negative voices and are bringing it up that shouldn't be bringing it up. And they're bringing up things that won't happen. We'll be right back. Here's what else you need to know today. On Sunday, a planned meeting between Iran and several Gulf states was postponed indefinitely, marking yet another setback in the diplomatic efforts to diffuse the widening conflict in the Middle East. Those talks were supposed to center on the state of the Strait of Hormuz, which Iran has effectively blockaded. Over the weekend, the fighting continued to rage as a ship was struck in the strait and Houthi forces launched a new attack on Saudi Arabia.

And on Friday, Saudi Arabia was forced to shut down a critical oil pipeline after a drone attack. Oil prices rose on Sunday as fears grew over the continued threats to the energy supplies coming out of the region. And the drama-filled U.S. Open concluded this weekend with the crowning of two first-time champions of the tournament. On Saturday, Elena Rabakana, representing Kazakhstan, outlasted Arena Sabalanka of Belarus with a clinical performance over three sets to win her first Grand Slam in the U.S. and her second of the year. And on Sunday, Game, tough match is better. Germany's Alexander Zverev beat the American Ben Sheltin in four sets. Ben, you're an incredible player.

This was your first Grand Slam final, but I already told you you're going to be back here many, many more times. Dashing Shelton's dreams of becoming the first American man to win a Grand Slam since 2003. Today's episode was produced by Asthatharvedi, Olivia Nat, Ricky, Ricky Natt, Ricky Navezki, and Jack Dissador. It was edited by Rob Zipko, Michael Benoit, and Patricia Willens. It contains music by Rowan Nemestow, Dan Powell, Sophia Landman, and Marion Lazzano, and was engineered by Chris Wood. Our theme music is by Wonderly. Special thanks to Cade Metz and Mike Isaac.

That's it for the Daily. I'm Natalie Kittrow F. See you tomorrow.