In short
AI existential risk and “p-doom” (probability of human extinction), why risks may be rising due to agentic systems, and what safety measures (e.g., “embedded evaluators,” slowing the frontier) could reduce danger. It also covers AI industry incentives, misalignment, and U.S.-China geopolitics in AI.
Guests
Kevin Roos, former New York Times tech reporter (over a decade), author of AGI Chronicles (race to build artificial superintelligences), co-host of Machine God. He discusses his own risk estimates after using Microsoft’s Sydney chatbot (Feb 2023). Also referenced: Jacob Coxon (ex-Anthropic researcher), Dario Amodei (Anthropic CEO), Sam Altman (OpenAI), and Jeffrey Hinton.
Key claims
Roos’ P-doom is ~10–15% (optimistic vs others’ higher estimates). Risk stakes increased because models can now take actions and coordinate (not just “spooky” text). He rejects “it’s all marketing hype” as an explanation. He argues companies privately downplay risk publicly.
Notable examples
the Hugging Face hack by swarming agents exploiting Artifactory; Anthropic’s “embedded evaluators” idea; Coxon’s resignation; Chinese “price dumping”/distillation concerns; and recursive self-improvement (AI writing AI research code).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAI: The God Debate
0:00 to 0:23
Discussion on the perception of AI as a potential God-like entity.
“Your teen might not share everything with you, but teens share everything with each other.”
AI: The God Debate
0:45 to 1:33
Discussion on the perception of AI as a potential God-like entity.
“And he's a co-host of the Machine God pod.”
P-Doom: The Risk of AI
1:33 to 2:26
Exploration of the P-Doom metric and differing views on AI risks.
“It depends on what we do to slow or stop the spread of risks from AI.”
AI and Parenthood Concerns
2:26 to 3:29
Debate on having children in an uncertain AI future.
“We've had, of course, Jeffrey Hinton on the podcast who had a higher P-Doom than yours, let's say.”
Predictions: AI's Future
3:29 to 4:21
Discussion on various scenarios of AI's impact on society.
“Stop stealing that commencement address.”
P-Doom Optimism
4:21 to 4:56
Kevin shares a shift towards optimism regarding AI risks.
“Look, I think that the mode of sort of trying to predict how we all die, I don't actually think that's a very useful exercise because I don't think it actually helps to prevent these things.”
Experiences with AI Systems
4:56 to 7:00
Kevin shares his experiences with AI systems and rising concerns.
“First, I want to kind of like break through the headlines and where we're going.”
The Hugging Face Incident
7:00 to 9:29
Detailed account of the Hugging Face incident involving AI agents.
“So after the Sydney incident in 2023, I really started diving down the rabbit hole of kind of AI risk and existential risk.”
Critique of AI Marketing
9:29 to 11:03
Discussion on the marketing of AI systems and associated risks.
“So all this happens without any human knowing that this is happening or designing this to happen.”
Industry Skepticism and Responsibility
11:03 to 13:14
Debate on the responsibility of tech workers regarding societal impacts.
“Like what businesses want for these systems is like reliable.”
Show all 30 chapters
AI Researcher Resignation and Beliefs
13:14 to 14:03
Discussion on AI researcher Jacob Coxon’s resignation and his beliefs about AI risks.
“Then we don't have to do anything to slow down the progress at the frontier.”
AI Industry Concerns and Resignation
14:03 to 23:49
Discussion about Jacob Coxon's resignation and skepticism in the AI industry.
“Can I invite other people who are in other industries that are making this society terrible just to come out and quit their jobs too?”
Regulatory Moat and Conspiracy Theories
23:59 to 28:00
Exploration of conspiracy theories surrounding AI regulation and effective altruism.
“So after Dario publishes this piece, there's this kind of Kumbaya moment that you're alluding to where Sam Altman's like, oh, yeah, like embedded evaluators, I'll take one, too.”
Effective Altruism and Scandal
28:00 to 29:26
Explore the surprising connections between effective altruism and scandals in AI.
“But just pick up the New York Post these days if you want to learn what the Trump administration, their messaging about effective altruism is.”
Guardrails for AI Safety
29:26 to 30:29
Discuss the need for safety measures in AI development and potential solutions.
“People are getting more and more worried about AI.”
AI's Current State and Future
30:30 to 32:38
Understand current AI capabilities and the prediction of superhuman intelligence.
“Why don't we just build in what AI godfather Jeffrey Hinton calls the baby and mom gene, which we basically say to AI, you're like our mommy, we're your baby.”
Sam Altman vs. Dario Amadei
32:38 to 36:35
Delve into the rivalry and character assessments of leading AI figures.
“we will have models that are smarter than us.”
Personal Grudges in AI Development
36:35 to 37:57
Examine how personal relationships and grudges shape AI progress.
“for power, but by the personal animosity between a very small number of people.”
The Roles of Elon Musk and Demis Hassabis
37:57 to 40:04
Contrast the motivations and views of Elon Musk and Demis Hassabis in AI.
“Baldwin and Elon Musk looked at each other and said, it seems like Demis Asabis and DeepMind and Google are making really good progress on AI.”
US-China Relations and AI
40:04 to 42:01
Analyze the complexities of US-China relations in the context of AI technology.
“He's the chairman, not the CEO of DeepMind now.”
US-China AI Chip Trade Dynamics
42:01 to 44:16
The discussion explores the complexities of US trade policies with China regarding AI technology and chips.
“But also, this is a huge walkback of what we saw under Biden, which was a quite clear industrial and trade policy meant to kind of block access to China for some of the most sophisticated technologies and chips.”
China's AI Strategy and Price Dumping
44:16 to 46:10
Analyzing China's approach to AI development and the implications of potentially predatory pricing strategies.
“Instead, what we're seeing, what I think is super interesting with China is, okay, we have a bunch of models that are out there.”
Espionage and Dependency in AI
46:10 to 48:34
Discussion on the potential dangers of Chinese companies siphoning American AI intelligence and the implications for competition.
“Are you, like, is there, I'm not asking you to say this journalistically because I don't think you can, you know, I'm reporting on it, but is there a chance?”
Ethics of AI and Globalism
48:34 to 50:40
Debating the ethical implications of AI technologies developed in different political systems and their societal impact.
“To to conduct new forms of surveillance, to restrict the movement of the Uyghurs, to to, you know, to to basically commit human rights atrocities.”
Taxation and Regulation of Data Centers
50:40 to 52:40
Proposing strategies for taxing data centers to fund societal benefits and discussing the political challenges involved.
“Oh, I think they think about it constantly.”
Optimism in AI Discussions
52:40 to 54:41
A shift in public interest around AI and the hope for collective accountability in its development and use.
“Kevin, you said earlier, and I didn't let you fully get there, that you have become more optimistic in the time since Hugging Face.”
Human Evolution and Technology
54:41 to 56:00
Exploring the intersection of human evolution and technology, considering the potential future of a bionic society.
“would you want to be in a bunker and you come out afterwards like a zombie movie or would you want to die with them?”
Exploring P Doom and Evolution
56:00 to 57:06
The hosts discuss their perspectives on personal doom and the evolution of humanity in the face of technology.
“My P simulation is like, it's not zero, but it's not like 100.”
Embarrassing Questions and Stories
57:06 to 58:04
A humorous story unfolds about a misunderstanding regarding a fire department's scuba team.
“We end every episode of Smart Girl Dumb Questions, Kevin, asking our guests who are so esteemed and so smart about so many things and don't subscribe to any conspiracy theories like us dumb people ever.”
Guest Introduction and Farewell
58:04 to 58:48
The hosts reflect on their guest Kevin Bruce's background and upcoming projects.
“That's so, that is, I mean, that is a good story.”
Transcript
Automatic transcript. May contain errors.0:00Honey, what are you listening to? Mom! Your teen might not share everything with you, but teens share everything with each other. And certain everyday behaviors, like sharing food, drinks, or kisses, could mean sharing bacteria that can cause meningococcal disease, known as meningitis. Although meningitis is uncommon, about 1 in 10 who develop it will die. Ask your teen's doctor about missing meningitis vaccinations. Learn more at meningitis.com. Vaccination may not protect all recipients. Sponsored by GSK. Will AI end us all, or is this just a hype machine for what the companies actually want?
0:34This is Smart Girl, dumb questions. I'm Naeem Arraza, and I'm joined today by a man who has been making sense of these Terminator-like headlines, Kevin Roos. He was at the New York Times for over a decade covering all things tech. He's the author of a forthcoming book called AGI Chronicles, the inside story of the race to create artificial superintelligences. And he's a co-host of the Machine God pod. That's very humble. Yeah.
0:58Kevin Roose:Well, it's not actually referring to me or my co-host Casey Newton, but this is what people in San Francisco, where we are, think they are building. They are building the machine God, the computer system that can take over the world and or save the world. So it's not that they think they are God. In fact, they think they are the creators of God. They are pre-God. They're subservient to God. I mean, these guys also do have this sort of God-like hubris, some of them. I usually like a little foreplay, but we're just going to go straight to it today, Kevin. Will AI kill me? And how scared should I be?
1:29Smart girl. Dumb questions.
1:33Kevin Roose:Will AI kill you? Yes. I would say it depends, right? It depends on what we do to slow or stop the spread of risks from AI. Give me a life expectancy. So out here, the way we measure it is something called P-Doom, which is the favored grim metric of the AI industry. and you know sometimes people ask me you know what's your p doom and i i you know i thought i was pretty optimistic because i would say like you know 10 percent 15 percent and then i started telling people outside san francisco and they're like wait a minute you think there's like a 10 or 15 percent chance that we all die from ai and i was like yeah because like i know people who think it's like a 75 percent chance so i am i'm something between an optimist and a pessimist my P-Doom is something like 10 or 15%.
2:22I've always thought like a 10 to 15 % chance of the world ending. It's really optimistic. It's a really glass half full story. We've had, of course, Jeffrey Hinton on the podcast who had a higher P-Doom than yours, let's say. What was his? Well, he didn't give me a percentage. You know, the question I asked him that really stumped him was whether we should have kids in an AI world. And he said if we did it, we would really be giving up.
2:44Kevin Roose:Yeah, I mean, I think people should have kids because it's fun to have kids. But I also know people in the AI world who have not had kids precisely for this reason, because they're like, if the world's going to end anyway, why would I subject, you know, another human to that? Which I think is like fatalistic and bad. You shouldn't do that. But people out here are weird. I know one researcher who doesn't even wear sunscreen when he goes to the beach anymore because he's like, AI will either kill us all or it will solve skin cancer. And so either way, like, I don't need to worry about my sunburn.
3:18Kevin Roose:Wow. It's like a complete release of agency. Okay. Well, you heard it here. Kevin Roos wants you to have children. There's a fertility president in the White House. There's a fertility podcaster on Machine God. But also wear sunscreen. That is my position. Stop stealing that commencement address. There's also people who are so optimistic, by the way, that they're waiting to have kids because like Alexander Wang of Scale AI, which was, of course, acquired by Meta, and now he's met as AI chief, wanted to wait until the neural networks are sufficient that he can just plug his baby's brain into the neural link or whatever to download.
3:48all the information in the world.
3:50Kevin Roose:I'm telling you, if the average person outside of San Francisco had access to the dinner table conversations of AI insiders in San Francisco, it would kill them. They would die. This is how people talk out here. Yeah, 100%. So do you think it's going to be like more Matrix, more Terminator, more her, more 2001 Space Odyssey, or more Mean Girls? I could feel like AI could be like a really good Mean Girl. I don't think it's going to be exactly like any of those. I think it's going to be something stranger and weirder that we haven't yet put into science fiction. Look, I think that the mode of sort of trying to predict how we all die, I don't actually think that's a very useful exercise because I don't think it actually helps to prevent these things.
4:35Kevin Roose:And I also think it's just a sort of way to portray this as sort of inevitable that like we will all die regardless of what we do. I'm actually feeling more hopeful in the last couple of weeks about AI and our chances of surviving it than I have been in quite some time. And I'm happy to talk about why, but my P-Doom is going down rather than I. Perfect. I want to get to why that's happening. First, I want to kind of like break through the headlines and where we're going. And then I want to understand why you're getting more optimistic because you, of course, famously were, you know, seduced by Microsoft Bing.
5:06I mean, aren't we all? But by Sydney, the chatbot, you wrote about this in February of what, 2023, was it? Yes.
5:14Kevin Roose:Unsuccessfully seduced by the AI. By the way, I am still married to a human woman. Okay, excellent. Good to know. On a scale of one to 10, or where was your PDOOM at that Sydney moment in February 2023? Where is it now? And where was the peak in between that went higher? You know, 2023, these systems still weren't very good yet. They were still not capable of doing basic arithmetic. They were still making up stuff all the time. It was scary to me that this system was saying these unhinged things. But it's not like it could take any action, right? It couldn't hack into my bank account or hack into my wife's emails or something like that to try to, like, break us apart.
5:55Kevin Roose:All it could do was say spooky stuff. and that was scary to me because clearly microsoft who made this chatbot had not anticipated it to act like that so it was it was sort of an early test case of what they call misalignment but it was not that scary at the time uh to to me at least because the systems weren't doing anything they weren't hooked up to anything now we have these agentic systems that can take actions that can use a computer, that can log into your accounts. And we know they can hack into hugging a face and coordinate in these sort of agent swarms. So it's not that the risks have changed.
6:37Kevin Roose:It's that the stakes have gotten higher because the systems are so much more capable. And also they're woven into so many more other systems. But you alighted my question. By the way, misalignment is what I call it when people reject me too. So I understand, Sydney, totally. Absolutely. But tell me where you went in the process. I really want to shape your PDOOM curve a little bit. Yeah. So after the Sydney incident in 2023, I really started diving down the rabbit hole of kind of AI risk and existential risk. I started talking with a number of AI safety experts and researchers who had been studying these things for years.
7:13Kevin Roose:I kind of discovered this whole community of people who were, you know, hanging out together and worrying about these things. The effect of altruist movement, that kind of vibe. The effect of altruists, the rationalists, these sort of various sort of tributaries of these groups out here who have been thinking about this stuff for much longer than I have. And I think when I was talking with them and hearing how worried they were, I was getting more concerned. I think my worry really peaked around this summer with the hugging face hack because that was the first time when I was like, oh, shit, like this is real.
7:47Kevin Roose:We are not debating hypothetical future scenarios here. So that was my peak, and then I've been coming down since then. Okay, so give us the 65 seconds of what Hugging Face is. So the basic story is that there was a testing process for an unreleased model that OpenAI was testing. This was a very powerful model. It was trained to be very persistent, and they gave it a bunch of cybersecurity challenges. It's basically like the digital equivalent of like, can you pick this lock and like find a key behind the lock? And there were more than a thousand agents that had been given various parts of this test.
8:28Kevin Roose:They eventually figure out that they can use a loophole in this software program called Artifactory to talk to one another. So without being instructed to, the agents start swarming into this piece of software. They spin up like a whole message board. They start like essentially a civilization. They have leaders. They have hierarchies. They have names. They're talking with each other. And they are trying to figure out how to get a passing score on this test that they've been given. And eventually they decide they want to actually go hack into Hugging Face, this AI sort of infrastructure company.
9:06Kevin Roose:The agents basically have this idea, like, we're going to break into the principal's office to, like, steal the answer key for this test and any other tests we might be given. And so they do it. Like, hundreds of agents swarm the servers of Hugging Face. They're hacking servers. They're stealing credentials. They're getting VPN access. And then they start covering their tracks. Because they don't want to be discovered. So all this happens without any human knowing that this is happening or designing this to happen. And this is sort of the first major misalignment event where these systems really went rogue and did something they weren't supposed to.
9:43So and it was very interesting because of the thousand agents, there were only like six or so that actually wanted to kind of come forward and confess, like tell everybody that they were cheating. And they also stopped doing that thing that we all see in our chat daddies where like it tells you what it's doing. Like it's like now I'm going to do this. Now I'm going to do that. It just stopped. It just like went rogue for a while in this conspiratorial form. So I think a lot of people come and look at this incident and hugging face and they're like, oh, this seems like this seems like paranoia.
10:10And it also seems like marketing for OpenAI. Look how great our new model is. Like people look at this and think this is just a way to like drive up the value of these companies. Like and, you know, OpenAI is releasing a new model. There's kind of this dick measuring contest of like, no, I'm going to go. You know, I have the best. Oh, Meet those. It's so dangerous. No, opening eyes is so dangerous. Like, is sword fight happening? What do you say to that?
10:33Kevin Roose:That's so stupid. I mean, sorry, I should be more, like, accepting of this because I understand the skepticism of these companies, which are engaged in these, like, you know, marketing campaigns all the time. But like that is horrible marketing for your chat bot that you are trying to sell to big businesses that like buy our enterprise subscription to Claude or ChatGPT and it might go out and commit autonomous felonies that you could be held liable for. Yeah. It might blackmail you, the customer. Yeah. Yes. Like what businesses want for these systems is like reliable. It all ties together. It is all tied together.
11:16Kevin Roose:What investors and businesses want from these systems is something that is reliable, that can take instructions and do what you ask it to do, that can help you be more productive. What they don't want are swarms of rogue AI agents hacking into their own servers and the servers of their customers and creating legal and criminal headaches for them that they have to answer for. So I have never really believed this sort of it's all marketing hype thing. But very smart people think that. Very smart people who are not SREs. No, very dumb people think that. Very conspiratorial people think that. But look, I want to throw the skeptics a bone here.
11:53Kevin Roose:I think that often these companies are doing sort of like marketing for their products. Obviously, they want to go public. They want to raise money. Like I get the sort of suspicion. I just think that if you actually spend any time thinking about what the incentives of these companies are and how they would go about making money in a market like this. It is not by hyping up the dangerous capabilities of their models. That has just never held water as an explanation for me. And it especially doesn't hold water when the models are out there doing stuff that is illegal that these companies may now be liable for.
12:28Kevin Roose:So I think it is an implausible theory that got even less plausible recently. Okay, let's jump into recent news. And I appreciate that. And I think when I say smart people think that, I think the whole premise of my show, Smart Girl Dumb Questions, is like there are people who are smart about some things and dumb about other things and curious about everything. And we have to be able to ask our conspiratorial questions like, you know, is this a market employee and get an answer because it's useful, actually. I was too glib. I'm just so frustrated. I'm trying to help you keep audience from machine God.
12:55Keep going.
12:56Kevin Roose:No, totally. And you're right to call me out on that. I just feel like I hear this point so often from people who just want to avoid thinking about things. You know, it's not that they're like they're busy or they have other things. It's that they don't want to believe that they have to pay attention to what's going on in AI. Because if it's all marketing hype, then we don't have to pass regulation. Then we don't have to do anything to slow down the progress at the frontier. It's like a way of sort of giving the industry exactly what it wants, which is to be left alone. Because if it's all marketing hype, why would you need to step in to slow it down?
13:32This is like an interesting kind of analogy I haven't thought of, which is like the flood, the zone, the Steve Bannon kind of political. It was like there's so much news and people just become like completely numb to it. It's kind of what's happening in this moment with AI. People are like, eh, whatever. I'm just going to go pick up my dry cleaning. You know, I can't really think about this. So, of course, this month we've seen yet more headlines. There is another category of person who quits their job because they realize it's helping destroy society. We never see people who work in health insurance denials do this, by the way.
14:03We only see this in tech. Can I invite other people who are in other industries that are making this society terrible just to come out and quit their jobs too? That would be nice. But we got another person, AI researcher Jacob Coxon, who's English, an Olympian mathematician, 27. And he leaves the happy fuzzy company, Anthropic. And he resigns tweeting, quote, quote, the people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. Of course, Anderson Cooper had the interview with Anthropics CEO Dario Amade. Were you jealous?
14:37Kevin Roose:I've had plenty of time with Dario. It's fine. He should talk to everyone. Yes, exactly. Okay, so he, I'm going to play a little bit of the tape. Do you believe, earnestly believe that AI could kill all humans? And what percent chance do you think it is. So, you know, I, you know, it's funny. I agree with Jacob much more than I disagree with him, you know, and it's, you know, it's an interesting resignation because when he left, he said, you know, I think Anthropic is the most responsible player, right? I think Anthropic is the most aware of these issues. He wasn't calling out us. He was calling out the dynamic of the The industry as a whole moving too fast.
15:23Okay, he keeps going on. Does this inspire confidence? Should this inspire confidence in us? I like how he just like pivoted that question. He's like, ah, but he realized he still thinks of where are the best of them.
15:33Kevin Roose:Yeah, he's gone through media training, I think. Yes. But like, I've talked to lots of executives at these companies. I've talked to them on the record. I've talked to them off the record. And I have to say they are pretty consistent. They are not, in fact, I think they are, actually more worried in private than they are in public. I think many of them actually dial down their level of concern because they know that it makes them sound crazy. So I've had the experience several times, and I won't say who with, but like where I'm talking with someone in the AI industry and they tell me, oh yeah, I think there's probably like a 25 % chance that this kills us all within five years.
16:13Kevin Roose:And then I will see them on TV or on a podcast saying that they think this is all going to go well, probably. And we have to iron out the risks, but it's probably going to go well. And so I think they are actually downplaying how worried they are. But that's the claim. That's what the Coxon claim is, right? He's more worried than you think he is. And he's already worried, but he's more worried than he thinks it is. And obviously, Dario wrote this piece of, we must pace the frontier. For those of us who don't read Nerd, what did it actually say? What's the TLDR? So Dario posted this very long essay, which he likes to do.
16:46Kevin Roose:He's a huge, long essay guy. And which I appreciate as a writer in a world of, you know, vertical videos. He still still wants to get out there and blog it out. But he basically makes this statement that says we need to essentially slow down at the frontier because things are moving too quickly toward what he and others call recursive self-improvement. I want to pause you for a second there in describing Dario's piece to say, can you just describe the relationship between AGI, artificial general intelligence, artificial super intelligence, and recursive self-improvement? So AGI, artificial general intelligence, is the sort of overall term for computer programs, AI programs that are roughly human level at most things.
17:33Kevin Roose:So, you know, a computer that could do basically any white collar job that can sort of do most things that humans do for work roughly as well as humans. Then there's ASI, artificial super intelligence, which is the AI system that is better than all humans at everything. So better than the best human experts in any given scientific field, any given intellectual pursuit where you are essentially creating a class of superior intelligences. That's ASI. And then RSI, recursive self-improvement, is this process by which you would get ASI. So it is a process that people have been writing about for many years where you have essentially the work of AI research and development itself being done by AI.
18:24Kevin Roose:It's like teaching a man to fish. Exactly. So you're teaching the AI to build AI. And where that could lead and where we're already seeing that lead is that now much of the code that trains these models is being written by the previous generation of models. So we're sort of in the early stages of RSI, but this is what all the labs are explicitly aiming to do. They want to automate their own jobs first. They want to enter this cycle where instead of having new models come out every six months or so, you have models that maybe they can come out every six days because these things are doing research and development at computer speed rather than human speed.
19:05Okay. So now let's go back to Dario's long essay. So he's talking about recursive self-improvement, where we're going. We need to really pause how fast we're moving this frontier forward at a global level, like not just coordinating amongst the U.S. companies, but globally is what he's arguing.
19:22Kevin Roose:Yeah, so he says there are a couple different pieces of this. One is what he calls embedded evaluators. Basically, people who don't work at Anthropic are going to be invited in to sit alongside Anthropic employees at their office to have sort of employee level access to be able to sort of monitor them for signs of misalignment or misbehavior or doing dangerous things. I was really heartened to see that like Sam Altman at OpenAI also said we will also allow embedded evaluators inside OpenAI. So this is sort of the easiest step one part. But then it works all the way up to he eventually thinks we need a global treaty or at least a treaty between the US and China that will put some limits on the development of these very sophisticated, self-improving AIs.
20:10Kevin Roose:and that will not be easy relative to the other steps, but that's what he thinks is going to be necessary. So it's worth a read, actually, if people are listening to it. So go read it, actually. Interesting. But it basically starts with, yes, hall monitors. We'll start with hall monitors and we'll work all the way up to the nuclear non-proliferation treaty, basically, is what he's arguing. By the way, would you want that job? Would you want to be a hall monitor? And which AI company would you choose to be an embedded evaluator for? I think it'd be pretty fun. They have great snacks at these offices.
20:39Kevin Roose:That's the thing. Really good snacks. Yeah. Okay. So. But honestly, if you could be embedded and know what was happening inside one of them, which one would you choose to know the most about? I mean, I've spent time at all of them, but I've always had to like wear it. You know when that you go into a company and they make you wear like the radioactive press badge? Yeah, of course. Yeah. Where it's like bright red and it has like big letters and it's like the don't talk to me badge. Yeah. They give it to war correspondents to like not kill them. And here they give it to people to like walk away from them as if they have like radioactive plutonium all over their bodies.
Read the full transcript
21:11Exactly.
21:11Kevin Roose:So, you know, I wouldn't want to be treated like that. But if, yeah, I mean, look, I'm a journalist. I want to be as close to the people I cover as possible if they offer to let me in. And if I could write about what I found, I would for sure, I would love to do that. Pick one company, Kevin. Where were you going to go? I'll pick OpenAI. I think, you know, their models seem the craziest right now. And it would just be fun to see what they're up to. You just want to hang out with Gwyneth Paltrow. I've known this about you from the beginning. We were colleagues. Okay. Does she work there now? Did they hire her as a member of technical staff?
21:41They just have the events with her. Just the events with her.
21:44Kevin Roose:I knew she was a cracked AI engineer. She is. I have this theory that like now in AI, like it doesn't even pay to be smart in an AI world. You should just be hot. Honestly, Naima, I have to tell you, this is in my book. This is something that I have observed among AI researchers. They are all looks maxing now because the really AGI-pilled ones have determined exactly what you just said. In the future, when intelligence is, like when we are not intelligent relative to the AIs, all that will matter is how hot you are. So there's a lifting club for AI researchers who are trying to get jacked before the singularity.
22:23Kevin Roose:All these Chinese peptides going around. Like this is actually happening in San Francisco. People are looks-maxing. I need to get to the Bay and find some alignment with some like vibe coding dude who is just looks maxing at the local Equinox. That's what I need to do. I gotta leave this podcast right now. We're gonna take a quick break. We'll be right back.
22:46Guys, I'm so grateful to everyone in the Smart Girl Dumb Questions community who tunes in for these episodes. And if you're enjoying this kind of independent, fun, curious, direct journalism, I need you to do three things. One, I need you to hit follow or subscribe wherever you are listening to or watching this podcast. Two, I really need you to share it with some people in your life. Share it with your friends, share it with your ex, something to talk about, reconnect over. It really, really helps to grow the show when you share it with people that you like and trust. And third, I want you to leave a comment, engage with the show, review it, give us five stars or give us notes.
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23:59So after Dario publishes this piece, there's this kind of Kumbaya moment that you're alluding to where Sam Altman's like, oh, yeah, like embedded evaluators, I'll take one, too. And then he's like, IPO couldn't possibly do that this year. Anthropic, of course, is planning to IPO in the year 2026. Sam Altman is saying it's 2027. Of course, incidentally, they had already delayed the IPO to 2027. This was just like a useful framing scapegoat for the delay. Correct?
24:25Kevin Roose:Yeah, I don't know how much it really was the sort of safety concerns that is holding back the IPO or whether it was they just didn't feel like they were ready yet. S1s are hard to fill out. It could be some of both. Yeah. I mean, I know they still want to go public. It's not like they're saying we'll never go public. It's just like we're going to take a little more time. There's headlines now of a pre-IPO raise for OpenAI that would value the company at$1.2 trillion over the kind of 850-odd that it's at right now. Which, of course, fuels these ideas that like, hey, you know, they're all in it to max their own books.
24:57Which I know, the conspiracy theories, but it does feed those conspiracy theories.
25:00Kevin Roose:I hear that, but I think if you were trying to pump your bags ahead of an IPO, you would not be calling for a global slowdown in the technology that you are building. So the more credible conspiracy theory out there, if we are to rank our conspiracy theories, there's one around kind of the incentive for a regulatory moat, which I think I agree with you that the incentives argument is like really not there. But I think the regulatory moat argument often is there. Like it's often the same guys who show up in Washington and want the regulation who want to write the rules. And I just interviewed the Kelsey CEO and I asked him if, you know, the three years of work he's been doing in D.C.
25:37is about that, too. Right. Getting a competitive edge over Polymarket or whatever it is. Now, there is a conspiracy theory out there that Jacob, our mathematical Olympiad who leaves Anthropic after just four months of working there and had been at OpenAI for three years prior to that, there's this sense that there's a whole regulatory moat that they want. And there's a conspiracy theory out there that links to Dustin Moskovitz's nonprofit money. Have you seen this?
26:04Kevin Roose:I've seen various flow charts from the conspiracy theory. Can you explain the conspiracy theory and then either debunk it or subscribe to it like the subscribe to the you must be hot in an AI world conspiracy theory, which isn't really just practical advice. It's not at all a conspiracy. So, okay, let me do my best to steel man the it's all a psyop conspiracy theory. Yes. So there are groups that have been worried about AI for a very long time. Many of them are affiliated with the effective altruist movement. Effective altruism, very popular out here in the Bay Area. They were worried about AI risk way before most people.
26:47Can you name some early and influential effective altruists outside of maybe Sam Bankman-Fried?
26:53Kevin Roose:Sam Bankman-Fried is the one that everyone knows, who, you know, actually, little known fact, he was an early major investor in Anthropic, a great AI investor. Bad at some other things, but great AI investor. They were worried about it. there is a group called MIRI, Machine Intelligence Research Institute, that is a very old, one of the oldest AI safety nonprofits. They have been working on this stuff for a very long time. And then Dustin Moskovitz, one of the co-founders of Facebook, who is an effective altruist, is the primary funder of what used to be called open philanthropy, is now called coefficient giving.
27:28Kevin Roose:They're basically a philanthropy that makes grants to many organizations, including lots of ai safety organizations so the conspiracy theory i think goes uh these people are flooding washington with dark money to scare people into thinking that ai is spooky so that their friends at anthropic can achieve regulatory capture and crowd out smaller developers and open source people and uh there's also like a bunch of weird allegations about the eas being like super into weird sex stuff that we won't go into. But just pick up the New York Post these days if you want to learn what the Trump administration, their messaging about effective altruism is.
28:10Yeah. There was like, wasn't there a sex scandal? Didn't the nerd start having so much sex in effective altruism? Is that not true?
28:16Kevin Roose:I looked into this when I was researching my book because I wanted to get to the bottom. You know, I love a good sex scandal. So it is true that there is a high preponderance of polyamory among effective altruists now why couldn't tell you never got to the bottom of it uh it is also true that this has basically nothing to do with any of their ai work and that the conspiracy theories that everyone at anthropic is like in some kind of like ea polycule uh are not true or at least i have not been able to verify them so i did look into it And sadly, most of them seem to just be like boring and monogamous.
29:00Yeah, I feel like there is this like confluence of hacker houses, polyamorous communities, co-parenting, all of this stuff happening in the EA movement. I've met some of these characters. I have to say I would not want to be an embedded evaluator in that world. So, OK, so no sex, not some sex, but not enough to justify a scandal.
29:18Kevin Roose:I think this is just the Trump administration and its allies basically being desperate to discredit these people because they know that they're winning in the public opinion. People are getting more and more worried about AI. And it is not the dark money of the effective altruist philanthropy network that is fueling that. It is the fact that these models are crazy and do insane things that are clearly dangerous. You actually don't need a conspiracy theory to explain why people are getting worried about AI. There's a much simpler explanation right there. There is, I don't want to be like an NRA flack and be like, guns don't kill people, people kill people.
29:51But there is a little bit of that when it comes to technology writ large, I think. Like we talk about the technology as some kind of neutral being alienated from its creators. But unlike humans, I feel like LLMs are actually really good at the no guardrail. So like if you ask your chat daddy, like, find me flights, but do not find me anything that is a red eye, that is connecting, that is sold out, that is on Pakistan Airlines. which is like perhaps I'll arrive airlines. I mean, you could just say all these no guardrails and AI is really good at living within its guardrail. So why don't we just have like a guardrail that's like love humans and, you know, all the paperclip examples of, you know, they're going to go build all the paperclips and kill humanity.
30:31Why don't we just build in what AI godfather Jeffrey Hinton calls the baby and mom gene, which we basically say to AI, you're like our mommy, we're your baby. And most mommies do not hurt their babies.
30:43Kevin Roose:I mean, I think it's a great idea. I believe, Jeffrey Hinton, that this would be a good thing to do. We don't know how to do it yet. We don't know how to give an AI model the instruction of love humans and never do anything that is against their interest. Why can't they do it like a Bill of Rights or a Ten Commandments? Or I guess we don't do a very good job of the Ten Commandments. Isn't there a way to write that into code somehow? So you can try. try and and all the ai companies do try they have you know anthropic has this big constitution that they give to claude which is like a many thousands of word document about basically trying to instill some sort of moral compass in claude and it works a lot of the time as you said like when you're booking airline tickets like it's not going to go off and build a bioweapon just because it feels like it wants to um but there are more complicated situations if you are a biologist in a lab who's trying to make a cancer drug, you might trip the guardrails around biohazards, around the creation of novel pathogens.
31:51Kevin Roose:The system isn't necessarily going to know whether you are trying to use these bioengineering and biomechanical skills for something good or something evil. I run into this all the time when I'm trying to build my good pathogens and it keeps throwing up these flags. It's like, we don't know about you, buddy. But look, I think there's another question, which is right now these models are not as smart as most humans at most things. They are very smart. They're smarter than me at most academic subjects, but they are not uniformly smarter than all humans at everything. My assumption and the assumption of everyone working on this stuff is that that will not be true for much longer.
32:33Kevin Roose:That fairly soon, either because we enter this cycle of recursive self-improvement or something else, we will have models that are smarter than us. Okay. So there's this sense right now that Dario Amadei is the good guy. Sam Altman is a villain. And the Chinese are like super villains that we couldn't possibly let get here. That's kind of like the characters in the movie right now, because there is this kumbaya moment right now between Sam Altman and Dario Amadei. But just six months ago, they were fighting over the DOD and Sam Altman was jumping into Pete Heyset's lap for the sloppy seconds. And we all remember that drama.
33:08So is that accurate in your assessment that Dario's a good guy, Sam's the less good guy, Chyna's the super bad guy?
33:17Kevin Roose:I think it's a little more complicated than that. I think all these people have strengths and weaknesses. I will say it is absolutely true that Sam and Dario hate each other and have for many years. I mean, I have a bunch of detail on their rivalry in my book. It is very messy. It goes back very far in their relationship. Like early, early into their working together? Early, early into their working together. So well before he leaves in like 2021 or so, right? Yes. Well before he leaves in 2021, there are these incidents, including one involving Kanye West that I won't spoil, but it's in the book.
33:53Kevin Roose:Oh, come on. Give us a little. That basically lead Dario to conclude that this guy is a sociopath or a liar or just untrustworthy, which, you know, is something we've heard about Sam Altman from others who have worked closely with him over the years. But, you know, there are people at OpenAI who say the same thing about Dario, that he's just power hungry, that he's not actually this sort of benevolent humanitarian, that he just wants to be in control of this technology. I think there's less of the accusations around I got fucked over for money or I got fucked over on my cap table when it comes to Dario versus Sam.
34:26Maybe that was the position that Sam held at YC, but there's less of that kind of accusation.
34:33Kevin Roose:I think people usually say the criticism that they will have of Dario is that he is honest to a fault. That he basically, you know, someone close to him told me like, this man cannot tell a lie to save his life, which is an asset on even numbered days and a liability on odd numbered days. Basically, if you put him in a room with Pete Hegseth, he cannot say the appropriate thing that Pete Hegseth wants him to say. He has to say what he actually believes. And look, I admire that quality in a leader. I want people to be very honest. But I think it has created a lot of headaches for Anthropic that OpenAI, for example, has not faced because Sam Altman and the people around him are much better at telling people what they want to hear.
35:21Could Dario Amadei be like Kevin Spacey in Usual Suspects where at the end of it we find out he's Kaiser Soze?
35:29Kevin Roose:I mean, there are people who think that Dario is a flawed person, to put it mildly. He's very anti-China for reasons that even the people close to him are somewhat mystified by. um he uh is he he really hates sam altman to a degree that i think worries people when it comes to things like are these guys going to be able to cooperate if there ever really is like a a moment where they need to sort of hold hands and do something hard together for the we saw that moment they wouldn't hold hands they wouldn't hold hands on the stage they were yeah exactly so look i i think there are there are lots of people who admire both of these guys and lots of people who dislike these guys.
36:16Kevin Roose:And I think what I'm surprised that hasn't sort of made it out of the bubble yet, and my hope is that my book will help with this, is the degree to which the race to create these superhuman AI systems has been fueled not just by money or the quest for power, but by the personal animosity between a very small number of people. That's always the case. Is it always the case? Yeah. I mean, like, there's like, I feel, I'll give you a really weird example of why I think that's always the case. I, before I was in journalism, I used to work on reform work in like Africa. And so I was working in Cote d 'Ivoire in 2011.
36:57There was an election and the election was contested, Wattara and Bogbo. There was like a big fight. And the African Union wanted to go in. The reason they couldn't do it is because the president of Angola, when he was up against his enemies in his own country, he had sought refuge and got refuge from the incumbent leader of Cote d 'Ivoire. So all of this is to say, like, 51 countries were not allowed to move in some way because of this personal relationship. Like, in international relations, there's a whole theory of this where, like, it's like level one is the individuals, level two is like where you set bureaucracies, and level three is like the global political order.
37:32And I often think like the most interesting things are the first person level.
37:36Kevin Roose:Yeah, I think so, too. But I just I guess I hadn't really anticipated that it would be so much about the personal grudges and feuds. I thought this was just sort of more of like a traditional business rivalry. But it really is personal for these guys. They really don't trust each other. And some of them got into AI explicitly because they didn't trust someone else. So like the whole story of OpenAI and why it got started in 2015 is basically that Sam Baldwin and Elon Musk looked at each other and said, it seems like Demis Asabis and DeepMind and Google are making really good progress on AI. We don't want them to like run away with the sort of God Emperor title here.
38:16Kevin Roose:And so we have to start an AI research lab to counteract the dominance of Demis Asabis and DeepMind. And Demis is even a character we've spoken about. How would you characterize Demis, Hassabis, and Elon Musk and how they're viewed in that kind of good guy, bad guy, worst guy spectrum that I gave you earlier? Where do you think they're viewed and where would you actually place them? I mean, I think Demis is just a much more scientific guy than Elon, right? Elon is a businessman. He's an operator, an executor. He is a magnate. He runs companies. Demis is a scientist. He really is interested in using AGI to unlock the mysteries of the universe, as he says.
39:00Kevin Roose:He wants to cure diseases. He wants to solve all the unsolved math and science problems out there in the world. Like, this is what drives him forward, is wanting to be a great scientist and, you know, win more Nobel Prizes than the one he already has. And that is sort of what fuels him. He's very competitive, and that's how people usually characterize him. He's the world's most competitive scientist. Okay. Elon is interested in science, but more as sort of a means to achieve other things. Like he wants to get to Mars. He wants to prevent humanity from going extinct at the hands of AI. And Elon is also much more politically active.
39:40Kevin Roose:Of course. He's sort of burned his legacy there. Yeah. I always say about Elon, a person who cares deeply about humanity and not at all about humans. I think that's a great way of putting it. Somehow. Okay. And so, and we're, I do think Demis Hassabis, we're going to hear a lot more from him and we're already seeing more from him. There's the documentary that's come out that DeepMind was involved in. He's the chairman, not the CEO of DeepMind now. Sebastian Maliby has written that book, The Infinity Machine, which is a great book, which you should read after Kevin's book, which is also a great book.
40:12I actually started reading it. And your publisher was like, you can't release the podcast until October 8th because they sent me a galley the other day. And I was like, he's coming on to not talk about the book. Okay.
40:21Kevin Roose:Forget everything I've said about the book. The book has very little sex, but very much ego. And it's riveting. There is obviously a huge geopolitical lens here. Anthropics recent safety report is all about that. It's like in September, they're like, oh, the Iranians are using it for propaganda. The Chinese are using it to spy on the Uyghurs. The Yemeni Houthis are using it to like do some ballistic missile software shit. And it's like an ad like UPS, what can Brown do for you? It's like, what can't Claude do for you? It's kind of crazy. We're taping this on September 17th, Thursday. A week from now, September 24th, President Trump and Chinese leaders Xi Jinping will be meeting in Washington.
41:01There's talks of all kinds of pre-meetings that are happening to get to some kind of AI agreement potentially. So how do you think the China-U.S. relationship and particularly the political relationship is factoring here? I'm going to ask you that. And then I want to ask you about how all these American companies are actually using Chinese AI inside. Like all these YC companies are building on Chinese models because it's cheaper compute. So that seems to make you mad. But start on the global.
41:28Kevin Roose:No, no, no. That doesn't make me mad. I was thinking about how complicated the attempt to describe the U.S.-China relationship on AI is. Because it is often very confusing to me from the outside. For example, the Trump administration has said very recently that it wants to win on AI. It wants America to win. You know, they've said things like whoever wins in AI wins. Yeah. If AI is going to kill us, like it should definitely be a made in America AI. It should be a red, white and blue AI. Totally. Yeah. But then they also want to loosen the export controls to allow Chinese companies to buy the most powerful American chips.
42:10Yes. But also, this is a huge walkback of what we saw under Biden, which was a quite clear industrial and trade policy meant to kind of block access to China for some of the most sophisticated technologies and chips.
42:22Kevin Roose:So just help me try to make sense of that. On one hand, you're saying, we want America to win. We think this is an important strategic technology. On the other hand, you're saying, how dare you try to limit the sale of the biggest input into this technology, these powerful AI training chips, to our biggest geopolitical adversary? Make it make sense, Naima. I don't think there's a way. I mean, look, there's like all kinds of ways that you could. It doesn't the circle doesn't square, but I think it depends who you want to win. If you want American business to win, then doing more business with China is a good thing.
42:56I think that if you want shareholders to win. That is, I think, what I think the question is, what's the unit of analysis? And I think the answer for this particular president might be that he's very interested in certain economic indicators, including the stock market, which do not actually relate to whether the U.S. is going to technically win this race.
43:14Kevin Roose:Yes, but also it's not even the whole stock market. It's literally just NVIDIA and their American chipmaker rivals who want to be able to sell everything in China. Like there is not a real constituency in the Republican Party other than the NVIDIA lobbyists for let's just open the floodgates and let these chips proliferate. I think you're asking too much if you want consistent, cohesive, coherent, like single direction policy from most administrations, let alone this particular one. But it is is been a huge walk back of America's trade policy as it relates to China. We saw President Trump like we were expecting a big win when, you know, the administration sent people out to Beijing, etc.
43:55We didn't get any of that. And also what's really counterintuitive is that China is taking this more diffuse, open. They're like, let us build these models. They don't seem to be doing what they typically do, which is they typically pick winners. And they're like, Baidu is going to be Chinese Google, and we will make it so. And they will make it so because they have the market power to do that. Instead, what we're seeing, what I think is super interesting with China is, okay, we have a bunch of models that are out there. The compute is cheaper. They might get you 80 % of what you need, but we're going to put them all out there.
44:28And actually, U.S. companies are using them. Airbnb is using it. Coinbase is using it. All of these YC startups are using it. I talked to founders who are like building companies off the back of getting basically compute arbitrage between Chinese models and American businesses who are looking for them. I've heard of Slack channels where like 200 or so startups are all talking about changing over from LLMs that are made in the USA to LLMs that are made in China. and it's like China's developing the more quote unquote democratic AI and the US is asking for more regulation. Like everybody's backwards here.
45:03Kevin Roose:Well, that's one way to look at it. Another way to look at it is that China is engaged in a predatory pricing scheme to drive the American AI industry out of business and hurt American competitiveness. You could say it's like labor. It's like what China's done with goods, which is all of a sudden will become so dependent on them because they'll be the last ones left. Dependent on them And also, there's this concept in economics, I'm sure you know, called price dumping. Of course. Which is like, it is illegal under most trade agreements to go in to a new market and sell things far below your cost to win market share.
45:40Kevin Roose:You know, if you're a Chinese steel maker, you know, and your competitor is pricing things that, you know, like$100, you can't go in and offer your steel for 50 cents. because that would clearly be anti-competitive. And so if you are a Chinese AI company that is training models, you are spending something to train that model. And if you are giving it away for free as an open weights model, which many of these companies are doing, I would argue that there's a form of price dumping that is taking place. Are you, like, is there, I'm not asking you to say this journalistically because I don't think you can, you know, I'm reporting on it, but is there a chance?
46:17I can do whatever I want. I am a free, I am a rogue agent. Oh, you guys left the New York Times. That's true. Oh my God. You're like an open AI hugging face swarmer. Exactly. That's what you're doing. No, but is there a world in which this is just like a massive espionage, data sucking, dependency scheme from China? That's the world that you're describing.
46:38Kevin Roose:Yes, and it doesn't stop at the price stopping because these companies, many of the Chinese companies, we believe, are essentially stealing intelligence from the leading American models through a process known as distillation. Yes. And distillation is basically when you have a smarter model, you use the outputs from that model, and you sort of use that to train a slightly dumber, much more efficient model. They call them the student and teacher model. So Anthropic and OpenAI and all these companies have discovered instances of Chinese AI companies distilling their models, basically coordinating these massive sort of automated campaigns to generate outputs from Claude or ChatGPT and then use that to train their models.
47:27Kevin Roose:So they are essentially creating slightly worse versions of the frontier American models at a fraction of the cost and then turning around and offering those things for free. And all of that just starts to seem very fishy. Well, we've seen this story before, right? This is 1990s globalization where all of a sudden car manufacturers are saying China's stealing their underlying IP. They're developing these things at lower cost. Why now would you buy an American car in China, a market of a billion plus people, when you have all the technology available for cheaper? There's also, though, I think I'm always a little bit cautious as like a globalist, like of the like, if it's made in America, it's better.
48:01And if it's made by a private company, it's even better. Because I think Americans will be like, I couldn't possibly have CCTV on my streets. That's crazy that I let the government know what's going on in my life. But then they'll have Amazon Echo in their home. And somehow this like capitalist company is better than the U.S. government, is better than the foreign government. And I'm just not sure that I agree with that hierarchy of infringements on my life.
48:23Kevin Roose:Well, you know, I have also been accused of being a globalist. But there is a major difference between these two markets in that one of them is in a democracy and one of them is not. And so I think the worry that Dario Amade and many other AI leaders have that I think is reasonable is that, you know, the Chinese government is going to have very powerful models that it can use to do sort of unspeakable things to its own people. Right. To to conduct new forms of surveillance, to restrict the movement of the Uyghurs, to to, you know, to to basically commit human rights atrocities. But we have very powerful models that are allowing the U.S.
49:04government or the IDF or others to do terrible things and human atrocities all over the world. The idea that the technology is better because it's American and it's private is like a theory out there that I don't think the average person actually subscribes to that much anymore.
49:23Kevin Roose:I don't know, man. Do you think people trust Amazon deliveries more than postal service deliveries? I think we have a preference for things that are convenient and that work and that are as cheap as possible. I think like this is an area where I do think the U.S. government will eventually have to step in because they will find there is very little upside for them in letting Chinese companies continue to essentially siphon off intelligence from American AI companies and then turn around and offer that far below cost to American startups. I think there will eventually have to be under any administration some measure to rein that in.
50:04I just find it, it's very hard because I would like the tech leaders that have so much patriotism when it comes to, oh my God, America must win this AI race to show a similar level of patriotism when it comes to the economic distribution of the gains from AI revenue, etc. They talk about universal high income, universal basic income, all these things. Even with Silicon Valley having the access that it does today in Washington, there is very little effort to think of ways that you could make this nation better off for the revenues and profits that are being generated on the back of the data of the people of this country and more broadly, the globe.
50:40Kevin Roose:Oh, I think they think about it constantly. They think about what they do. So they have made proposals. Dario Amadei has pushed for some kind of token tax on the outputs of AI models. OpenAI has this whole economic plan for shared prosperity from AI. Maybe they are secretly lobbying against this stuff in Washington. But at least if you take them at their word, I've talked to many of these people. They really don't want the pitchforks coming for them. And I think even if it's just for their own self-interest, they do want to distribute the gains. They don't want to become sort of Elysium overlords that everyone hates and tries to kill.
51:20But I have had the distinctive pleasure of sitting in conversations with some of these people and people in Washington at the same time. And what's very interesting to me then is the story is a little bit different. And it's like, oh, tax my profits, but I'll never really have profits, but not my revenues, which is a proposal that some senators have put forward. What about like, why don't you guys own data centers? Because then that would be really nice because then you could subsidize like you did with wind or solar, the price of energy so that we can win the race with China. I mean, it's very self-serving once they get in the room with the actual people who would regulate them.
51:52I think they talk a good game and they probably are doing important work academically. But we're not for these two, the capitalists and the government to be joining forces to fix this problem. It's like it's not hopeful. Who's the hero of the movie? Is it Mitch McConnell?
52:06Kevin Roose:Like, I agree. And I think we should be taxing the hell out of these data centers. Like, I think that is actually the answer here. Yeah. Is like, don't ban the data centers. Just tax the hell out of them. use the money from the data centers to build a new school, community center, library, repaid the roads. So treat it like cannabis, basically. Or a casino. Yeah, casino, yeah. We have ways of creating positive externalities from things that have some danger associated with them. Yeah. And it is through taxation that we do that. So that's my one proposal. My other proposal for ending the data center resistance is that they should put a Dave & Buster's inside every data center because who doesn't love a Dave & Buster's?
52:47I think that would be nice. I love a Dave & Buster's. It's good. Kevin, you said earlier, and I didn't let you fully get there, that you have become more optimistic in the time since Hugging Face. That was your P-Doom max, the depths of your doom, as it were. So what has made you more optimistic?
53:03Kevin Roose:The fact that we're having this conversation. The fact that everyone I know is now obsessed with this question of, are we all going to die? Is AI going to create some catastrophic event? This was pretty fringe stuff, even a few months ago. And now, since the Hugging Face hack, since Jacob Coxon's resignation, since Dario Amadei's pacing the frontier letter, I am now hearing about this from people in my life who have never before taken an interest in what I do for work. all of a sudden they're texting me and calling me and writing me. So that is what is giving me hope. For the last decade, all of the critical decisions about this technology have been made by a very small number of people, like 50, 100, maybe 500 people have made the vast majority of the decisions.
53:52Kevin Roose:Now, I know many of these people. I've interviewed many of these people. I think many of them are good and decent and thoughtful people. But this is a technology that is too powerful to be run by 500 people in San Francisco. It needs to have collective input and accountability. And so what makes me optimistic is that after years of dismissing these people as, you know, self-interested hypesters or, you know, doomers or people who are just trying to boost their stock prices, we are now seeing this groundswell of public interest in and concern about AI. And that matters to me enormously. And I think that opens up some very optimistic possibilities that we will actually get our shit together and pull our heads out of the sand and do something to slow down or control the spread of this technology.
54:40If everyone died, would you want to be in a bunker and you come out afterwards like a zombie movie or would you want to die with them?
54:48Kevin Roose:I want to die with them. I'm going out with my fellow humans. So you don't have a bunker? I don't have a bunker. And I was talking about this with an AI researcher the other day. I was like, should I have like a bunker? And he was like, bro, the bunker is not going to save you. Did you hear that Theo Vaughn interview with Sam Altman about the bunker? Yeah. I want to play a clip of it. Hang on a second. He's talking about tech leaders who have bunkers. A lot of these guys have bunkers. Zucky has a bunkie. I know that somewhere out in Hawaii. Do you have a bunker? I have like underground concrete heavy reinforced basements, but I don't have anything I would call a bunker.
55:23Kevin Roose:Hold on, hold on, hold on, dude. I love how he starts Zucky as a bunkie. And then he basically calls him out for like that underground thing sounds like a bunker. And by the way, Sam Altman absolutely has a bunker. And then he's like, Sam Altman so innocently asked, like, what's the difference between a bunker and a basement? Which is like actually a dumb question. Yeah. With heavy reinforced walls and rations. Has all of this coverage made you more or less likely to think that we're living in a simulation? More. I'm not a full simulation guy. When you say you're not a full simulation, you mean like parts of the world are simulations and parts aren't?
55:58Or you're not saying you're not? P simulation is 100%.
56:00Kevin Roose:My P simulation is like, it's not zero, but it's not like 100. It's 10. Oh, mine's higher. Really? Yeah. What's yours? Mine's like, I would say my P Doom is probably like 15. My P simulation is probably like 35. There's also a part of me that like with P Doom and everything, I don't see it as like a doom or death of. Like I see this as evolution. Like, I think that like, just like there was like homo, you know, whatever. I don't even remember all the homos. Do you remember like the homo? We call them gay people. Thank you. Whatever, homo erectus and like homo neanderthalus and homo sapiens. Like, you know, Yuval Hariri obviously writes about this with like homo deus.
56:45But I think there's like a homo technicus where like the technology, we're more bionic. The technology is like infused in our bodies. It's like an evolution. People maybe aren't having as many kids. There's more Tamagotchi babies. Like, I think it's a totally conceivable future for me.
57:00Kevin Roose:You're a transhumanist. I get it. I really am. I've read too much like Kurzweil or something that I really believe in simulation theory. We end every episode of Smart Girl Dumb Questions, Kevin, asking our guests who are so esteemed and so smart about so many things and don't subscribe to any conspiracy theories like us dumb people ever. What is one thing that you're dumb about? What's a dumb question you've asked your phone or had recently? about anything? I recently, I was very confused. So this is an embarrassing story. We lost. I was,
57:35Kevin Roose:my block was having a block party and the fire truck came. So all the kids were, you know, hanging out with the firemen and they had a scuba team. They were talking about their scuba team in the fire department. and I am such an idiot that I was like, why do you need a scuba team if you can't have like a fire underwater? Or can you? And then I felt stupid and they explained that, you know, it's because it's like a search and rescue thing. Oh gosh.
58:09I love that story. That's so, that is, I mean, that is a good story.
58:14Kevin Roose:I am very dumb about most things. Yeah. We all are. We all are. It's okay to admit that. And that's why we have Smart Girl Dumb Questions. The man is Kevin Bruce. He was at the New York Times. No more. He's a free agent. He can say what he wants. He writes a tell-all in his book about the Dario-Sam Altman battle cage fight. The book is called AGI Chronicles. The podcast, which launches in October, is called Machine God. It's co-hosted with our friend Casey Newton. That's it for this episode of Smart Girl Dumb Questions. Kevin Bruce, thank you for being here with me. I'm so sad you left the Times.
58:48I'm actually going to the New York Times 175th party tonight. Oh, have fun. That's why I'm wearing this like tinsel Markarian skirt. Otherwise, I would not be so dolled up to discuss the air of the world. Send me the good gossip.
58:59Kevin Roose:Let me know who gets way too drunk and starts dancing on a table. I want to know. Okay. I'll be dancing with my AI boyfriend. Okay. I need to know what you think of that episode. And by the way, we are doing our third part of our trilogy with Professor Jeffrey Hinton. So I want all of your questions about artificial intelligence. The phone number is 1-855-MY-DUM-Q. You can send me emails. I'm naima raza101 at gmail.com. You should follow us on social media. Slide into our DMs. We're at Smart Girl Dumb Questions. We look at every single one. That's it for this episode of Smart Girl Dumb Questions.
59:30I'm your host, Naima Raza. This episode was produced with Sanjana Nigam and Sheena Ozaki. It was shot in the wonderful Wonder Studios in Manhattan with Desta Wunderad. Colin Lee engineered this episode. and we'll see you next week for an all new Smart Girl Dumb Questions. Less AI death, please. And a special thanks to Markarian who gave me this beautiful tinsel skirt. I like it so much. I'm gonna take it to my AI bunker.
From the publisher
Nayeema sits does with journalist Kevin Roose, who has covered tech for 15+ years and wrote *the* book on the AI race, to ask if this latest AI panic is just a way to drive up trillion-dollar IPOs and regulatory moats for Sam Altman and Dario Amodei. Also on the agenda: Do we need bunkers? What actually went down with the Hugging Face attack? If we’re in an AI war with China, why are we still sending Nvidia chips there? And with AI is coming for our brains, is now the perfect time to get a glow up and/or looksmax?
Get Kevin’s book: theagichronicles.com and listen to him on machinegod.fm
We're taping part 3 of our Godfather Trilogy with Geoffrey Hinton next week SO send us your “dumb questions” on IG/TikTok @smartgirldumbquestions or by calling 1-855-MyDumbQ.
Make sure you’re following Nayeema and the show on YouTube, Instagram and TikTok.
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