Trump Is Selling a Phone + The Start-Up Trying to Automate Every Job + Allison Williams Talks ‘M3GAN 2.0’

“They’re calling it the T1 Phone 8002 Gold Version, which sounds kind of like a Taylor Swift album.”

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Speaker 00

  Support for this podcast comes from Dell Technologies. It's time to put AI to work. Is your business ready? The challenge isn't getting started with AI. It's scaling beyond pilots while maintaining control of your data, governance, infrastructure, and costs. Dell AI Factory provides the integrated foundation you need to scale AI securely and efficiently with one trusted partner, Dell, AI on your terms. From idea to impact. Learn more at dell.com/yourwaytoAI. That's dell.com/yourwaytoAI.

• 0:34Casey Newton?

  Hello, Kevin.

• 0:35Kevin Roose?

  Hello. I'm here in a beautiful studio in London. Casey, we have been trying to get a studio like this for years, and I think we just figured out that we have to just move the show to London and tape it here every week.

• 0:49Casey Newton?

  You're in this sort of like lush red booth with the Hard Fork logo behind you on a TV. It sort of looks like if Hard Fork was a Denny's diner, it would kind of look a little bit like the studio that you're in. Like, I keep waiting for them to bring you a plate of pancakes.

• 1:04Kevin Roose?

  I want the Grand Slam breakfast. Now, Casey, do you miss me in person? Is it different recording without me?

• 1:10Casey Newton?

  No, it's great. I have stretched my legs all the way across the studio for the first time. My circulation has never been better. It's markedly cooler in here, both in the sort of temperature and vibe sense of the word. So, no, if you want to stay over there for a while, you're fine by us.

• 1:33Casey Newton?

  I'm Kevin Russo, tech columnist at The New York Times. I'm Casey Noon from Platformer.

• 1:37Kevin Roose?

  And this is Hard Fork.

• 1:39Casey Newton?

  This week, the Trump family is releasing a phone. We'll tell you how the president is using influencer tactics to profit while he's in office. Then, these AI co-founders say they're going to automate away every job. We'll meet the team behind Mechanize. And finally, we're going to the movies. Megan 2.0 is almost in theaters, and star Allison Williams is here to talk about it.

• 2:09Kevin Roose?

  Well, Casey, what are we talking about this week?

• 2:11Casey Newton?

  Well, Kevin, if you hear an ominous ringing in the distance, you may be hearing the Trump phone.

• 2:16Kevin Roose?

  Oh, no. What's the Trump phone?

• 2:18Casey Newton?

  Well, Kevin, this week, the Trump family announced two initiatives. One, a new cellphone provider called Trump Mobile. The other, a new forthcoming smartphone. It's gold colored. It has Trump branding, and they're calling it the T1, which is the same thing they called the first Terminator movie.

• 2:37Kevin Roose?

  I'm sold. So, Casey, let's talk about this. What is actually going on here? What are they selling? And what is this mobile service they are operating?

• 2:48Casey Newton?

  Yeah, well, look, obviously, the Trump family has a lot of initiatives. They love to do a lot of branded merchandise, and for the most part, it all just sort of, you know, washes over me, and I don't pay that much attention to it. But once, you know, the President of the United States's family says, we're doing a smartphone, and we're gonna have a cellular network, I think, well, Kevin, we should probably learn a little bit about that. Okay?

• 3:12Kevin Roose?

  Yeah, so teach me.

• 3:13Casey Newton?

  So there are sort of two aspects of this to talk about. There is the cell network, what's called a Mobile Virtual Network Operator, or MVNO. That's Trump Mobile. And then there's the phone. Why don't we start with the MVNO?

• 3:29Kevin Roose?

  Casey, what is an MVNO?

• 3:31Casey Newton?

  Well, there are these real cell networks, like the ones owned by AT&T and Verizon, and they spend billions of dollars to build networks all over the country. But they wind up with this unused capacity. And that creates the space for the MVNO to come in and say, hey, why don't you let us buy that capacity at a wholesale price, and then we'll resell it to other people, and perhaps make a tidy profit. And believe it or not, Kevin, this has turned out to be a pretty good business for some people. For example, have you heard of Mint Mobile? I have, actually.

• 4:06Kevin Roose?

  This is the one that is run, or part owned, or was part owned by the actor Ryan Reynolds?

• 4:10Casey Newton?

  Yeah, that's right. So it was founded in 2016, and sold- To T-Mobile eight years later for more than a billion dollars, which is, you know, not a bad price, given that they didn't even have to, you know, build any cellphone towers. So

• 4:23Kevin Roose?

  Yeah, I remember reading about this and reading that Ryan Reynolds had somehow made something like $300 million by selling this MVNO thing to T-Mobile. And I thought, that sounds like a great business. Uh, maybe I should learn about it. And then I never did.

• 4:39Casey Newton?

  Well, I was just learning about it the other day, Kevin, because, uh, one of our fiercest competitors in the podcasting space, Smartless, the, the podcast hosted by, you know, Jason Bateman and Will Arnett and Sean Hayes, they have launched their own MVNO. It's Smartless Mobile.

• 4:54Kevin Roose?

  Really? Huh. So what you described to me just now is like a basically surplus shop for cellphone service. Like if you're Verizon and like, say only 60% of your tower capacity is used, you could like sell that extra space to an MVNO who could then sell it to customers? Or like, how does it work?

• 5:13Casey Newton?

  Yeah. Well, so here's the twi- here's how I would pitch an MVNO. It's cheaper for worse service. Okay. So, you know, if you have like a Verizon or an AT&T plant, my guess is you're going to be spending, I don't know, 80 plus bucks a month on your service. But, you know, you're going to get to use your cell network during all the, the busy times, you know, you're going to get priority. If you're on an MVNO though, your service might be really slow during busy times, but in exchange for that, you might only pay 30 or $40 a month. Trump Mobile says they're going to sell for 47, 45 per month, which appears to be a reference to the 45th and 47th presidents, uh, Donald Trump.

• 5:50Kevin Roose?

  So, okay, they're going to sell this service. Uh, is it running on Verizon or AT&T or like one of the big mobile carriers? Or like, how does it actually, who are they subcontracting for?

• 6:01Casey Newton?

  So my understanding is that they're renting capacity from a group of those. It's, it's not just one of those. They're going to sort of go, sort of, uh, you know, bundle up unused capacity from a bunch and, and create the network that way.

• 6:12Kevin Roose?

  I see. Okay. So that is the cellphone service that the Trump family is going to start offering. Now we have to talk about this phone. Here, I know the following things about this phone. One, it's gold.

• 6:26Casey Newton?

  Yes.

• 6:27Kevin Roose?

  Probably not actual gold, gold colored. Two.

• 6:31Kevin Roose?

  It's an Android phone.

• 6:33Casey Newton?

  Yep.

• 6:33Kevin Roose?

  Three, it is billing itself as being made in the USA.

• 6:38Casey Newton?

  That's right.

• 6:39Kevin Roose?

  So all of those three things are correct, but I'm sure you know more about this phone. Tell me what there is to know.

• 6:44Casey Newton?

  Well, so they're calling it the T1 phone 8002 gold version, which sounds kind of like a Taylor Swift album. It will purportedly be sold for $499. The family has suggested you preorder it now for $100. But there are many, many remaining questions, Kevin, about what this thing is. We've seen exactly one rendered image of this phone on the Trump mobile website. There have been questions about whether this is actually a photo of a phone or maybe just a Photoshop render. Some people are even just calling it a concept of a phone, Kevin, if you can believe that.

• 7:25Kevin Roose?

  Yes, I mean, I can. In part because I've been, I was reading, David Pierce had a great story about this at The Verge that had an actual like rendering of this T1 phone. And basically made it sound like this thing is just either not real or that it is, they have managed to come up with some miracle of supply chain logistics and device manufacturing that no one else who's been thinking about this stuff for decades has managed to come up with.

• 7:51Casey Newton?

  Yeah, and I would say that like typically in a situation where you're a celebrity and you license your image and likeness and name a lot to just kind of like whoever the highest bidder is, that bidder does not tend to be an incredibly innovative operator who is able to work supply chain miracles and create an incredibly premium good at the lowest price you can imagine. But that's like a pretty rare thing that happens in these cases.

• 8:15Kevin Roose?

  Yeah, but those celebrities did not write The Art of the Deal. So I think we have to give him some credit here for it.

• 8:21Casey Newton?

  I think that is very fair. But to get to the heart of it, Kevin, basically no one thinks that you can build a modern smartphone in the United States that runs Android 15 for less than $500.

• 8:32Kevin Roose?

  Yeah, I mean, I was skeptical of the price tag on this thing because I've seen some stories about the sort of people doing the math. On what it would cost to say, make an iPhone in the US. And it's many multiples of the cost of manufacturing that overseas. And it's not just all of the components. It's all of the fabrication. It takes a lot of specialized equipment to make all this stuff very precise. So I just cannot think of a scenario in which they could make something like this phone in the US and sell it for $500 and still make a profit on it. But do you, am I, am I missing something?

• 9:11Casey Newton?

  I think you are exactly right. And so that raises kind of two questions. You know, one is if they are able to deliver it at that price, basically like what shortcut did they take or how, how did they get there? Will they be public about that? And if they're just simply not telling the truth about the price and it's actually going to be more expensive, that doesn't sound great either.

• 9:33Kevin Roose?

  Yeah. And they're actually, we should say, there is like one US made smartphone, it appears, that is still shipping. It's called the Liberty Phone and it is fabricated and assembled in California. And the starting price of that phone, Casey, would you like to guess? I'm gonna guess $2,000. $1,999. You lose by Price is Right rules, but you win spiritually. $2,000 is apparently what it costs to have a phone that is assembled in the US. So if the Trump family has figured out a way to do that for 25% of that cost, I would be very impressed, but I would also not be surprised if they're just sort of pulling that claim out of thin air.

• 10:12Casey Newton?

  All right. So why are we talking about this today? Well, one, it is just kind of a funny story during kind of a dark time. It struck both of us and we thought it would be worth just kind of walking through some of those details. But there is also a really dark undercurrent here, Kevin, and it speaks to the utter strangeness of having a president who seems to be openly using public office for private gain. And while I'm not going to make the case that the Trump phone is the absolute most important story in the week, you know, given all of the tensions abroad, the protests at home, I do think it is worth pointing out to our Audience, just how many conflicts are baked into an idea as simple as let's have a phone

• 10:57Casey Newton?

  and let's have an MVNO.

• 10:59Kevin Roose?

  Totally. I mean, what I keep thinking about when I hear these stories about the various spinoff businesses that the Trump family is starting, I just feel so bad for Jimmy Carter. You know, like, they made Jimmy Carter put his peanut farm in a blind trust when he took office because owning a peanut farm was seen as a potentially bad conflict of interest. And I'm just glad Jimmy Carter, well, I wish Jimmy Carter were still around, rest in peace, but I'm sort of glad he's not around to see the absolute depths of side hustles that the Trump family has gotten itself into.

• 11:32Casey Newton?

  Yeah. Well, so let's talk about a few of the areas, Kevin, where this might raise a conflict. One is just the fact that telecommunications is a heavily regulated industry. Trump appoints the head of the Federal Communications Commission, which oversees the telecom industry. So now, if you're Brendan Carr, the head of the FCC, every time you go to make a policy, you're probably going to be asking yourself, well, what does this mean for Trump Mobile and the Trump phone?

• 12:00Kevin Roose?

  I have to imagine that this Trump Mobile MVNO thing is going to start off being a very small operation, but if it were ever to grow into something that was actually competing with the big mobile giants, I think it absolutely would be a very ripe conflict of interest there.

• 12:15Casey Newton?

  Well, and now let me throw another conflict at you, Kevin. It's extremely common when a new smartphone comes out for a manufacturer like Samsung to go to some of the tech companies out there and say, hey, we have a new phone coming out. Would you like to make a deal with us, pay us a certain amount of money, and we will put your app on our phone? Well, now imagine that you're Amazon, or you're Meta, and you want to curry favor with the Trump administration because you have a huge amount of business before the government, and you're still working to make inroads with Trump and his family. Wouldn't this be a great time for you to come along and say, hey, Donald Trump, you name your

• 12:57Casey Newton?

  price, we would love to get Amazon on the Trump phone. We would love to get in- Instagram on the Trump phone. And all of a sudden, you have opened up a new avenue essentially for bribery for these companies to curry favor with the Trump administration.

• 13:10Kevin Roose?

  Yeah, it's fascinating and it's so troubling for all the reasons you just outlined. But I also think there's a sense in which the Trump family's various business endeavors during this term are really kind of giving us a roadmap to the ways that people have found to monetize influence in the last couple of years. Like, just look at the meme coin business that it has entered and that is actually making like quite a bit of money for the Trump family. That is something that did not really exist in any scaled way a couple of years ago. But now, not just politicians, but like lots of celebrities and influencers, people who sort of have their 15 minutes of fame, that is one of the ways that they sometimes try to cash in.

• 13:54Kevin Roose?

  It seems like this MVNO thing is also becoming a way that people like the Smartless podcast guys, like Ryan Reynolds, like sort of all of the other celebrities who have gotten in on this kind of deal, that is a way to sort of turn attention and reputation and influence and fame into money. And so I think it's just, it's worth saying, I think this is something that a lot of politicians are probably going to pay attention to and potentially try to replicate. Because if Donald Trump is able to sort of monetize his influence, I think there will be lots of other people who say, well, if he can do it, why not me?

• 14:30Casey Newton?

  You know, Kevin, I'm glad you brought up the meme coins. Because I think the meme coins offers a really tangible example of these avenues for influence that we have been talking about. So, The Wall Street Journal reported over the last week on a new financial disclosure from President Trump. And it showed that he had personally made $57 million from his family's crypto firm last year. And it put his current crypto holdings around $1.7 billion, at the low end. That's a conservative estimate. So, why does that matter? Well, just as he oversees the FCC, he oversees the crypto industry as well. He appointed- The head of the Securities and Exchange Commission,

• 15:13Casey Newton?

  which has a lot of leeway to regulate how crypto is sold or not sold. And so here we can see exactly how much it benefited President Trump to come into office, sweep out all of the anti crypto regulators, bring in a bunch of pro crypto regulators. And by the way, he was heavily lobbied by the crypto industry to do that. They put a lot of money into his campaign. Well, now he has $57 million. So again, just to say, we tried to set up a system in the United States where this could not happen. The Constitution has an emoluments clause that says you cannot accept direct payments or gifts from foreign governments, for example. And we tried to just create strong norms that said, if you're in public office, you cannot use it to just make a bunch of profits for yourself.

• 15:57Casey Newton?

  But that norm, like so many others over the past six months, has been shattered. And it just seems like a really troubling precedent, at least to me.

• 16:06Kevin Roose?

  Yeah, I mean, part of what I find so curious about this moment with the Trump family and their business expansion is typically in politics, you try to reward your supporters. You know, the people who vote for you, typically you have some affection toward them and you try to like give them things that will make their lives better. In this case, it is a weird inversion of that where like the people who are the most loyal, diehard Trump supporters, they're going to be the ones lining up to buy the meme coins, lining up to buy the NFTs, probably lining up to buy the Trump phone and the Trump MVNO service.

• 16:46Kevin Roose?

  And they are going to be paying more money for things that are less valuable to them than what some other less Trump affiliated carrier or seller would provide them. And so I think it is just a fascinating experiment in how you can pretend like you are rewarding your most loyal followers by really selling them something that's not very valuable. And I just, I wonder how long that will last or whether there will be people who buy this stuff and say, hey, wait a minute, my old Verizon service was way better or my iPhone was way better. Or I wish I didn't lose all this money on crypto coins.

• 17:21Casey Newton?

  Yeah, it seems like the president has figured out ways to monetize tribalism in ways that have been very beneficial to him, and I suspect pretty enjoyable to the people who are buying at least some of these products, but it just goes against so many precedents, you know, in our country's history. I want to say one more thing about this. The great Russian and American journalist M. Gassan wrote a piece in The Times recently that really resonated with me. They wrote about the shock of authoritarianism. They had, of course, spent a lot of time in Putin's Russia, and there was just kind of one shock after another of this norm being shattered and that norm being shattered. And the human mind, they write, is always seeking a sense of stability, is always seeking

• 18:06Casey Newton?

  a sense of, okay, well, that shock might have happened, but my life is still basically the same. And they wrote about the danger of that, because as shock after shock after shock accumulates, you wake up one day and you realize you have much less freedom than you used to, and a lot of other bad things have happened. So in and of itself, a Trump phone, a Trump MVNO, might not seem like that big a deal, even though they really are, in their own ways, quite shocking in the context of every other presidency we've ever seen. But my fear, Kevin, is that as more and more of these shocks happen, we do get desensitized to it, we do stop paying attention to it, we don't bother doing a segment about it on a podcast because we just think, oh, well, you know, that's Trump, what are you gonna do? So at least this week, we wanted to say, hey, this thing that seems crazy, it actually

• 18:51Casey Newton?

  is super crazy.

• 18:59Casey Newton?

  When we come back, they're coming for your job. Why the team behind Mechanize thinks they can automate all labor.

• 19:23Speaker 00

  Support for this podcast comes from Dell Technologies. It's time to put AI to work. Is your business ready? The challenge isn't getting started with AI. It's scaling beyond pilots while maintaining control of your data, governance, infrastructure, and costs. Dell AI Factory provides the integrated foundation you need to scale AI securely and efficiently with one trusted partner. Dell, AI on your terms. From idea to impact. Learn more at dell.com/yourwaytoAI. That's dell.com/yourwaytoAI.

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• 20:32Speaker 04

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• 21:07Casey Newton?

  Well, Kevin, you recently had a very interesting story about a new company called Mechanize.

• 21:12Kevin Roose?

  Yes, this was a fun one to write. This was a startup in San Francisco that got started earlier this year. They raised a bunch of money from people you probably know. Patrick Collison was one of their investors. Jeff Dean, a big AI honcho at Google, was another one. They are a very buzzy startup, and what attracted me to writing about them was that they have said that their goal is to automate all labor. They want to take away all, everyone's jobs, yours, mine, everyone we know, and replace them with AI. And they think they can do this in the coming decades with a new type of reinforcement learning system.

• 21:51Casey Newton?

  Well, that is a promise we have heard from a number of Silicon Valley companies, but maybe none as directly as the Mechanize founders are pitching it. What exactly is their secret sauce?

• 22:04Kevin Roose?

  Well, they are building what they call reinforcement learning training environments, basically simulated environments that these new AI agents can use to learn how to do various white collar jobs. And they believe that this approach can scale not just to software engineering, which is the first job that they're trying to automate, but to all other kinds of jobs eventually as well. And I thought this was an important conversation to have on the show because we've been talking about AI and jobs for the last couple of episodes now. I think this is a conversation that is beginning to grow more and more important and more and more urgent, and there's starting to be evidence of some job displacement from AI. And then along come these guys at Mechanize who say, well, this is actually only the tip of the iceberg. You have not seen anything

• 22:49Kevin Roose?

  yet. Our plan is to help these giant AI companies automate a bunch more jobs very quickly.

• 22:55Casey Newton?

  Well, that seems to raise a lot of important questions about how society would deal with the fallout of such a thing. So why don't we bring in these founders and see what they have to say about it?

• 23:06Kevin Roose?

  Yep, let's bring in Matthew Barnett and Egay Erdil from Mechanize.

• 23:19Kevin Roose?

  Matthew Nega, welcome to Hard Fork.

• 23:21Speaker 05

  Hi.

• 23:22Kevin Roose?

  Hi. So I had a lot of fun writing this story about Mechanize, the company that you all founded along with your third co-founder, Tamebe Siroglu, earlier this year. And one of the things that made me interested in what you were doing is that unlike a lot of AI companies I cover, who sort of pretend not to be automating jobs, or they say, you know, we're just making helpful co-pilots and assistants for workers. We're not going to replace their jobs. You all were actually coming out and saying, yes, we absolutely want to automate jobs and not just a couple of them. We want to automate all jobs. So tell me what inspired you three to leave Epoch AI, the research firm where you were before this,

• 24:07Kevin Roose?

  and start this company? And to be so open about the agenda of automating labor?

• 24:13Speaker 05

  Yeah, I guess when we were at Epoch AI, which is a nonprofit research organization, which had the mission of informing society about trends in artificial intelligence, we did a bunch of research into the economics of AI. And as part of that research, we looked into what would be the impact of AI that could substitute for human workers across the economy on the economic growth rate. And a very robust conclusion of that research was that it would speed up economic growth by enormous amounts, like unprecedented amounts, maybe by 10 times, maybe more compared to current rates. And that would unlock such a vast abundance of not just like material goods, but also services that today can only be provided by humans,

• 24:57Speaker 05

  technological progress, like medical progress, that currently, no matter how much money you have, you can't really purchase. We think if AI automates everyone's job, because we can scale the AI workforce so much more than we can scale the human workforce, that leads to this vast abundance, enormous increase in the variety of goods, new medicine, new technologies, et cetera, and makes people's lives much better.

• 25:20Casey Newton?

  So this is a story we've heard from other AI founders. They want to unlock a world of radical Abundance and I think a lot of our listeners hear that and they think, okay, here comes the Silicon Valley hype guys and they're out there raising funds. And so they're going to tell me this beautiful story so that they can raise billions of dollars. And, you know, they'll get rich. How do you respond to the idea that this is kind of just a bunch of hype that you're selling to kind of benefit your own project?

• 25:45Speaker 06

  I guess I would say that the difference between just hype that someone's speculating about and something that's real is you can test it empirically. You can look whether it's an implication of robust economic models. You can try to look at the history of automation. I would just say that if you look at the empirical evidence, it's quite clear that automation has been good for most people. People have benefited from mechanization of agriculture, from refrigeration to all these sorts of technologies. So I would just say that anyone who thinks that it's just benefiting a small group of people should really study the history of automation. And I think that almost all the evidence would show that they're wrong.

• 26:26Kevin Roose?

  Well, I have studied the history of automation. I wrote a whole book that touched on the history of automation. And one of the things that I want to just really impress upon you all is that like, I do agree with the statement that automation and technology broadly generally improve people's lives in the long run. I don't think, for example, a lot of us would willingly switch places with our great, great grandparents. They had hard, backbreaking lives of manual labor. But people don't live in the long run. People live in the short run and in every technological revolution that we've ever had, there have been people who struggle, who fall through the cracks, who aren't able to sort of seamlessly make the jump from one era to another.

• 27:05Kevin Roose?

  So what do you say to those people who look at you and say, well, I get that this future of radical abundance may be possible somewhere down the line. But for me in the year 2025, what this looks like is my job getting automated away and me not having any way to pay my bills.

• 27:21Speaker 05

  Well, I guess a few things. First of all, I think because AI, we expect AI to speed up economic growth, assuming it can substitute for everyone's job and not just like the job of like a few percent of workers or something like that. The impact of that is so big that I don't actually think the long run is that long. Like, it might be like a few decades or something like that. So it might easily be within the lifespan of like most people who are currently alive, for example. That's one thing. But the other thing is, I think the standard of we should only automate jobs, or we should only embrace new technologies if there are no losers, if like nobody is made worse off by the adoption of a new technology, is extremely strict. I don't think that's a reasonable standard.

• 28:04Speaker 05

  If AI can actually substitute for human workers across the entire economy, just a substitute for a human worker, in that case, humans will no longer be getting income from wages. But there are lots, a lot of other sources of income. There are countries in the world today where actually citizens get their income from, say, natural resource endowments. Like, there is just a certain amount of natural resources that country owns, and the government has maybe a sovereign wealth fund, maybe they have other ways in which they can distribute the income from that natural resource to the population. And that is something we see in our world today. So it's not actually that far-fetched. And that's the kind of thing I would expect to happen in a world where AIs are vastly more capable and human workers like cannot compete.

• 28:42Casey Newton?

  So you guys published a blog post recently where you wrote about, in part, the history of automation in software engineering. And you note that automation has been coming to software engineers over a period of decades. And as that has happened, their jobs largely have not been eliminated. So what are you seeing right now that is making you say, okay, it really is different this time, and we're going to be able to go that last mile and actually fully automate everything and take away these software engineers' jobs?

• 29:13Speaker 06

  I'm not sure we're actually saying that something is definitely different this time. In fact, two of my co-founders think that maybe full automation will take many decades. And so I don't think we're actually taking the strong view that there's something different in the next five or 10 years such that everyone will lose their jobs. Actually think that especially in the next five years, we'll probably see a continuation of past trends, which is that AI automates some tasks within professions. It doesn't completely automate the entire profession in the sense of completely replacing most workers in those professions. So to take the example of software engineering, we think that these coding assistants will be used to help software engineers.

• 29:53Speaker 06

  We don't necessarily think that the coding assistants will be able to do all the jobs that a software engineer can do. So for example, a software engineer often needs to coordinate across teams. They often need to plan projects, test the software to make sure that it's up to the design specifications. They need to do a lot of these different types of things which are very hard to automate, which aren't just under the label of coding. And so we think that if AIs can just do coding, but it can't do these other things, that in fact it will lead to a productivity increase in these professions and probably raise wages for software engineers, even though it's not taking over their entire job. Of course, in the long run, we just expect that it will be able to take over people's jobs.

• 30:36Speaker 06

  But this isn't because of some specific thing that we think is different now. We just have a projection of here's how long we think it will take for AI to replace everything. And we have disagreements about that, but it's not that we think that it's like a qualitatively different type of automation. We just have a guess at how long that type of thing will take.

• 30:56Casey Newton?

  Got it. Okay, so let's talk a little bit about what you guys actually do. You just raised a bunch of money. You're presumably hard at work building something. I've read a little bit about it in Kevin's article, but tell people what it is that you're actually building.

• 31:08Speaker 05

  Yeah, so what we're building is a reinforcement learning process where we will design essentially virtual work environments, you could say, for for models to acquire the skills that human professionals have that enable them to do their jobs.

• 31:26Casey Newton?

  Like using a spreadsheet, maybe?

• 31:27Speaker 05

  Yeah, like using a spreadsheet, using common software tools that people use in their work, like I don't know Slack for messaging, you know, checking their email. If they're doing software engineering, then using tools like GitHub. So what we're doing is creating these work environments with with scoring. So basically, we have a bunch of tasks in these environments. And we can score a model to see, did the model do this task well? How well did the model do this task? And then we give this to an AI company and they are able to train their model in this environment. So they handle the parts where they train it. But we are the ones who supply them the environment in which they will be doing this training.

• 32:08Kevin Roose?

  The way your co-founder Tamei explained it to me that I thought was a useful model for my understanding was that you you are basically creating what amounts to like very boring video games, like a video game in which like the goal of the video game is to be a software engineer or be a lawyer or be an accountant. And you sort of set up this environment and then the AI agent goes and plays it a bunch of times and gets the signal for whether they failed or succeeded. And ideally gets better over time until it's good enough to actually do the the full job. Is that more or less correct?

• 32:44Speaker 06

  I think that's a good description, yeah.

• 32:47Kevin Roose?

  What do you think the next target is after software engineering? What is the next easiest job to automate using this technique?

• 32:54Speaker 05

  Huh, I guess, I mean, there are some things that are adjacent to software engineering, like data science, for example, might be a good target. And we have

• 33:02Kevin Roose?

  Podcasting?

• 33:05Speaker 05

  I think that's a that would take like a different kind of reward signal, maybe.

• 33:11Casey Newton?

  Okay, so you're sort of at work on these systems. You know, I'm struck by the fact that there's this interesting tension where on one hand you're saying that you're going to automate all labor. On the other hand, you're saying, well, it might take 20 or 30 years. You've also like raised venture capital and they all want to return within like seven years. So like, what are those conversations like? Like, what are you promising to give them, you know, before the end of the decade?

• 33:31Speaker 06

  I mean, even if you just automate a substantial fraction of labor, but not all labor, then that would still be extraordinary in terms of the amount of progress we would have made over a brief period of time. So I think if we could get as far, I mean, very ambitious of automating like 20% of current jobs within the next five years, that would be insanely valuable from just like a conventional perspective. So I don't think we need to achieve the ambitious long-term goal of automating all jobs for this to be a successful venture within like just a brief period of time.

• 34:03Kevin Roose?

  Got it. I have a question for you guys. So when I was at your launch event and I stood up during the Q and A and I said, is any of this ethical? Matthew, you had a response to me that I thought was interesting. So I want to ask you for an abridged version of that case. Make the case that what you are doing, trying to automate jobs, is ethical.

• 34:24Speaker 06

  Well, I think what I said was that it was a question of cost and benefits. I would say that there are costs to automating everything. It's true that people will lose their jobs. However, we need to compare this to the enormous upside potential from automating all jobs, which is this vast prosperity that would be created from automating labor. It'd be the fact that goods and services would be much easier to produce, which would mean that we just have a much higher standard of living across virtually all areas of life. I think one thing in particular that people miss is that the secret to mass consumption is mass production. Like, in order to get people to consume a lot of goods and services, in order to get people to have a high quality of life, this needs to be backed up by a lot of production,

• 35:09Speaker 06

  a lot of goods and services actually being produced. So if you have some mechanism that's able to expand the base of goods and services that are being produced, then as long as there's some way for this to be shared among the broad population, not necessarily equally, but just as long as there's some way in which these goods and services can be distributed even slightly, then I think that that just leads to almost everyone becoming better off. And not just in terms of them having a higher material standard of living, but I think also their lives would still have meaning. They would find new ways for their life to have meaning other than work. I think, for example, one thing people didn't anticipate perhaps

• 35:53Speaker 06

  in 1800, if you were to ask people, you know, would all this automation be able to work out if people aren't going to be constantly working on a farm? They might not have been able to anticipate, for example, that in the next 200 years, we would have governments-funded education in universities. And so people might not have realized...

• 36:14Speaker 06

  That there's this alternative way of enjoying your time, which is going to school, which is going to college. This is a new way for people to spend their time, which I would argue is even more meaningful than these long hours toiling on a farm. And I would just think that that's the default that I would predict as a result of this empirical trend that we've already observed.

• 36:36Casey Newton?

  I know you guys are focused on the like, you know, capitalism part of this equation, but I'm curious what thoughts you do have on the role of government here. You know, we're always struck on this show by the disconnect between on one hand, we have entrepreneurs like yourselves saying, hey, in the next 18 to 24 months, the world is going to look very different. And on the other hand, politicians mostly are just kind of like, okay, cool. Like, go for it. Yeah. Are there things that you would like to see them do or you think they could do to get us ready for a world that was, you know, very different within a few years?

• 37:06Speaker 05

  I think it's a hard question. Like, it's very hard for me to say what we could do today to make a world in which like all jobs have been automated or most jobs have been automated like much better. Right now, I only have a very vague sense of what that world is going to look like. When that world is actually here, we will have a much more detailed understanding of how things are going to work.

• 37:27Kevin Roose?

  And I'm going to cut you off there. I understand that what you're saying is like, it's hard to know the future and it's hard to make policy based on something that is moving and changing so quickly. But do you think there are things that governments could or should be doing to cushion the fall for workers who may lose their jobs in the next, say, five to 10 years? Should they be sort of rolling out something like a basic income or strengthening the social safety net? Like, do you have any ideas for how we could cope with mass job loss if what you are predicting comes true?

• 37:55Speaker 05

  I don't really think we're predicting mass job loss in the next five or 10 years. Like, at least I would assume that initially the impact of AI automation is actually going to be drive wages up. And it will lead to some occupations changing in character. So for example, software engineers might still be employed, but their job might start looking different because some of the tasks have been automated. So I think the world in which there is mass job loss and mass unemployment, I think that world is further away. I would say like definitely more than 10 years away. Maybe Matthew disagrees with me about this a little bit, but.

• 38:27Speaker 06

  Well, I def- I I definitely don't expect mass job loss within the next few years or next five years. So I I do think that it's kind of premature to start talking about government programs to cushion against that. I guess the thing that I would like to emphasize the most here is just that I think when people come up with plans for the future, especially if it's not an immediate plan of what to do in the like the next year, for example, I think that's just kind of overrated. I mean, if you asked people 10 years ago, what should we do to prepare for people losing the jobs from L L Ms? Then how many people would have been able to come up with like a good recommendation of what to do by 2025? I I just think that would have been overrated. So I think what's underrated, I think, is just being honest about our intentions, saying this is what we intend to do.

• 39:12Speaker 06

  This is our roadmap, perhaps. We don't actually know whether our roadmap will succeed, but this is at least what we're planning on doing at the moment. And we just think that at the time that these things are becoming more apparent, that they're becoming more salient, then people will be able to leverage the knowledge that they have, which they'll have detailed knowledge of the time that it's actually happening, far more detailed than they would have had five or 10 years in advance of the event actually occurring. And then they'll be able to use the tools and knowledge of the time to be able to craft appropriate policy. Committing ourselves to some sort of a plan or policy ahead of time without knowing these details, it just seems foolish to me.

• 39:49Casey Newton?

  Well, I mean, I think my counterpoint would be like, if you know that a pandemic is going to come at some point, you can manufacture and stockpile vaccines, right? Even if you don't know exactly when it's going to arrive. And so my hope would be sort of similarly here, if you know that there is going to be massive job loss to come, you could start saying, well, in such a world, what kind of solutions might exist? You have a theory of the case.

• 40:10Speaker 06

  I certainly agree that we can look at the character of the solutions that might exist. I would say that the character of the solutions that would look reasonable are similar to the character of the solutions that we've already seen in the past. Governments, for example, have already become more generous in terms of redistributing income in the last 100 years or 200 years as automation has progressed. We have social security, for example, which didn't used to exist at all. We have Medicare, Medicaid, we have all these different programs for caring for people, for the poor, with unemployment insurance. And I would say that a continuation of that character, those types of things for taking care of people, seems to make a lot of sense if you care about redistributing income. So I would predict, and not just predict, but I would say that that's a reasonable

• 40:55Speaker 06

  thing to do in the future, but I don't necessarily have a particular plan of what that would look like. I'm not saying like, oh, a UBI would be best, but I just think that that type of thing makes a lot of sense.

• 41:05Kevin Roose?

  Well, as I said in the article, I am glad that you all are being honest about your intentions. I think it is useful to have an honest and open conversation about the possibility of job loss through automation with AI. I do hope that you will find some sort of empathy for people who are really scared about what's coming. We hear from listeners every single week on the show who say that their jobs are changing in ways that they don't necessarily like because of AI, who are anxious that their bosses are trying to automate them out of a job. So I would just say like, my free advice to you as you go out making your pitch about automating all jobs is just like, there are people on the other side of that, and I think those people are concerned and worried, especially when they hear guys from San Francisco, you

• 41:48Kevin Roose?

  know, talk about how they're excited to automate their jobs.

• 41:51Speaker 06

  Yeah, I guess I would say it's difficult whenever you're doing something that you think has enormous benefits but has some costs. And in those cases, you can look at the people who are bearing costs or who fear that they might suffer the costs, and it's just like a very difficult thing to do. I mean, of course, I have empathy for those people, but I acknowledge that it feels kind of cold for me to say that I feel empathy for you, but I just think that these benefits that I'm listing are just much greater than the costs. But that's always, I think, what it sounds like when someone's performing some sort of utilitarian calculus. But compared to the vast majority of policies that people actually talk about in the public sphere, this is something that is much more positive sum than negative sum than you might have otherwise imagined.

• 42:34Casey Newton?

  All right, well, I think we're gonna have to leave it there, but hopefully someday you can come back for another round of spirited debate.

• 42:40Kevin Roose?

  Yeah, come back when you've automated podcasting and give us the news. Thanks, guys.

• 42:48Casey Newton?

  All right. When we come back, slay tuned for our segment with Alison Williams, star of Megan 2.0.

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• 44:56Casey Newton?

  Well, Kevin, when this show started, you and I made a pact, which is we will see every Megan movie released in theaters. And this week, we honored that pact.

• 45:07Kevin Roose?

  I don't remember making that pact. But we did see a new Megan movie on Monday night together. We had a little double date with our partners.

• 45:15Casey Newton?

  Yeah, and you know, this is a movie that has a lot of ideas in it. It may surprise you for a movie that I think is mostly designed to be a lot of fun. But we were sort of laughing as the movie went along with just how many concepts in the film are things we have talked about on the show. And so we were really excited when we heard from the movie studio that we would actually be able to talk to the star of Megan herself, Allison Williams, about this movie.

• 45:38Kevin Roose?

  Yes, and I will say, my guess is that this is the only movie of 2025 that will contain a reference to the paperclip maximizer in it. That is how deep down the rabbit hole this screenwriter and director Gerard Johnstone went here. So Megan 2.0, a movie about AI that managed to get a lot of the inside terminology of the AI world into its script.

• 46:02Casey Newton?

  It comes out June 27th. But in the meantime, here's Allison Williams.

• 46:13Kevin Roose?

  Allison Williams, welcome to Hard Fork.

• 46:15Speaker 08

  Oh, my gosh. What an honor. Thank you so much for having me.

• 46:19Kevin Roose?

  It's such a pleasure. Casey and I had a double date on Monday night. We both went out to see Megan 2.0, had a great time. And what struck me about the movie is it was actually quite impressively literate about some of the nerdier, more arcane parts of the AI and tech universe. So I'm just curious, how much research did you do going into this of like, concepts like instrumental convergence, which like, only a couple hundred real AI nerds in San Francisco talk about?

• 46:52Speaker 08

  And some actors and actresses now. We are evolving. A lot of research. On the first movie, I did a lot more research into robotics and engineering and AI and women in tech and all of those things, because I couldn't be farther from a woman in STEM. I'm a woman in English and film and television. And this one, I did much more of like, a physical preparation. But yes, I mean, to be able to speak cogently about these things and also make it sound like you know what you're talking about, it's always smart to just keep up with the reading and what there is to know about what's going on. But yeah, I give a lot of that credit to Gerard. He goes, he doesn't just like, do the superficial

• 47:35Speaker 08

  pass where it's like, gobbledygook that means nothing. We really do want exactly what just happened. We want praise from the 100 people who know what we're talking about. And honestly, like, we can go home now. This was really all we needed. Thank you guys so much for having me.

• 47:52Kevin Roose?

  Watching it, I did have that feeling of, oh, they put real ideas in this movie. Like, it really does feel like it has been keeping track of a lot of the big discussions that are happening about the role of tech and society. You know, your character, Gemma, becomes a bit of a screen time crusader as this movie begins. She's lobbying against smartphones in schools. I'm curious, how much of that resonates with you personally?

• 48:19Speaker 08

  So much. Like, I think Gemma, Gemma and Jonathan Haidt would have gone on like, a tour together, just talking about these issues. I really think that the first movie was sort of like, posing a hypothetical, that then by the time it came out, was starting to feel very prescient and, and like, kind of urgent.

• 48:38Speaker 08

  This movie is sort of saying like, okay, hypothetical over, we are here. Now let's have a kind of an ethical conversation and a moral conversation about now what? Sort of about parenthood and stewardship and the parallels in the first movie between Gemma's motherhood, so to speak, of Katie, her niece, and of Megan is just still at work in this movie, except it's an even more loaded word, I will say, without spoiling anything. And it's definitely trying to like fully entertain you in the theater and just you're on a ride. And then when you get home and you get into bed, you're like, so I guess we should be like expressing a little more gratitude to the Roomba? I think we should be.

• 49:16Speaker 04

  Yes.

• 49:17Speaker 08

  And like I did the other day when I wrote in one for the first time, like say, thank you to my Waymo, I think.

• 49:22Kevin Roose?

  You gotta say thank you to the Waymos.

• 49:24Speaker 08

  You gotta, listen, I feel grateful for anyone who gets me anywhere safely, including an inanimate line of code or many, many lines of code and cameras. So I feel like it's, it is definitely asking us to think critically about like the, our ethical responsibility. It feels like it's asking us to enter into or realize that we have already entered into a relational positioning rather than a parasitic one where we can just use and use and take and take and take and expect and expect versus being in relationship with, and it sounds crazy, but it is sort of the main question of the movie is to be in relationship with these types of ways of existing that we have brought to life, so to speak.

• 50:08Kevin Roose?

  Yeah, I mean, and I will say like, this does not feel like a far future scenario to me. In fact, you know, just recently, OpenAI announced that they're doing a partnership with Mattel, the toy company. And there have been lots of companies.

• 50:21Speaker 08

  I got that article like 150 times.

• 50:25Kevin Roose?

  I'm sure, I'm sure. Like for an official like merch tie in, are they gonna do like a, like a Megan doll?

• 50:32Speaker 08

  I don't know. It hasn't come up yet, but it felt like when I read that headline, I was like, well, you know, sometimes it takes a little longer than this for sci fi to become reality. But this is just, this feels like it's part of our marketing cycle.

• 50:46Kevin Roose?

  Now, I think we have kids around the same age. Mine's three.

• 50:50Speaker 08

  Yes.

• 50:50Kevin Roose?

  Would you give your kid an OpenAI or just an AI in general toy?

• 50:56Speaker 08

  Okay, well, here's the deal. So as you know, with a kid at this age, our son is incredibly curious. And I love the side of him and I love how inquisitive he is and also how dissatisfied he is with any surface level. He can feel when you're phoning something in or when you just don't have expertise. And in his least condescending way possible, he'll always ask for like supporting documents and evidence. And he'll be like,

• 51:18Kevin Roose?

  Yeah, they really do the citation needed thing a lot.

• 51:22Speaker 08

  Let's look to the back. Let's go through a bibliography. Let's like see where, where we can go a little deeper here. Let's go past the Wikipedia of it all and get some, some primary sources. So often, when I'm trying to explain something to him like jet propulsion, which he asked me about last week, I turn to, as we all do, ChatGPT. And I will speak into the speaking thing for like a hands free thing if I'm multitasking. And I'll say, in a, in a way that a three and a half year old can understand, can you explain how a rocket launches and how jet propulsion works? And then Arlo watches this little orb on the phone, just like going in and out. It's like the least stimulating graphic experience on the planet. And yet his eyes are, I'm watching something so intense happen. Like

• 52:05Speaker 08

  his brain is not able to comprehend what this interaction is that's taking place. And he's hearing all this information and it's distilled perfectly and it's timed perfectly and it's exactly what he wants to know. And then he'll ask a follow up question. And then the look on his face is so troubling that I will like cut it off and make him stop talking. The other day, he's, we were talking about a subject. I can't remember what it was. It might have been. Something related to like animal husbandry or something. It's a long story. We've been talking about baby deers a lot. Anyway, so he said, can you ask Chapatiti? And I was like, Chapatiti? Who is Chapatiti? And then he was like, the person who talks from your phone and answers

• 52:46Speaker 08

  my questions. And I was like, oh my God, we are finished using this technology as parents. This is upsetting. And honestly, like, this is free for you, OpenAI, but Chapatiti is like a very cute and very benign sounding nickname for an extremely powerful machine.

• 53:02Casey Newton?

  So I love that story. And it just makes me curious about the tension, because I feel like the tension that you're describing is also in the movie of, on the one hand

• 53:11Speaker 08

  Exactly. That's what I was just gonna say.

• 53:12Casey Newton?

  Yeah, like you have this thing that is able to mesmerize your son, answer his question. You know, kids are famously curious. They often exhaust their parents' patience. But now you have something that can just explain everything to them, you know, forever. That's kind of the promise of Meghan too, right? Is hey, let me take a little bit of this parenting work off your hand, be an extremely supportive friend, commit a little light murder for you if necessary.

• 53:35Speaker 08

  Totally.

• 53:36Casey Newton?

  So I'm curious, in the sort of real world, when you're away from the killer doll, and you just sort of have this sort of mysterious new technology, how you navigate that tension?

• 53:47Speaker 08

  Well, it's really interesting. Honestly, I never get tired of explaining stuff to him if it's in my wheelhouse. The times that I reach for ChatGPT is when he has wandered beyond, I can't explain gravity, period. I can't explain it to a three and a half year old, for sure. You know who can? ChatGPT. So what I used to do was I would look it up on ChatGPT, and then I would sort of translate it. So the information was coming from me. And then there was a time when I needed my hands, and I just did the voice activated thing, and I didn't think about it. And then now here we are. I think our strategy is to limit The amount of stimulus to an amount that he can tolerate. And he and I talk, we talk all the time about overstimulation.

• 54:30Speaker 08

  He, when he was like two and a half, he was running around the house at breakneck speed and he was like, Mama, I think I'm overstimulated. And I was like, you have nailed it. That is exactly what we're seeing right now. And so in the same way, I sort of think that an amount of knowledge that is delivered in such a confusing vehicle can also be overstimulating. Like, I think there's such a thing as like just overdoing it, being overwhelmed by the amount of information that's coming at you. And as anyone with a toddler will tell you, often the best amount to give them is just enough for them to wonder more and fill in the gaps for themselves. Because sometimes our instinct to over explain things deprives them of the opportunity to

• 55:15Speaker 08

  answer some of it on their own and the things they come up with are so extraordinary and the questions they end up having. So I, I try to remind myself that less is more and he's just learning so much every single day and a little bit every day is totally enough.

• 55:31Kevin Roose?

  So that's how you feel about AI as a parent?

• 55:35Speaker 08

  Yes.

• 55:36Kevin Roose?

  I'm curious, as a creative and a person who makes and acts in movies, how you feel about it. Obviously, AI in Hollywood have had tensions going back years. You've now been in two films featuring AI as a major theme. And I'm curious, when you put your actor hat on, like what you feel about this technology?

• 55:56Speaker 08

  It's obviously intimidating. Like, my mind goes instantly, of course, to job security because I'm like, okay, what about my job can't be performed by an algorithm or an AI or a computer or something like that? And the answer honestly is like a little bit embarrassing, but it's the parts of us that are flawed and that make mistakes and that don't do things perfectly, like a hair out of place that looks normal or... A smudge of lipstick, or a lack of continuity here, or a slurred word occasionally in a sentence, the way we all speak, kind of, or handwriting that's not consistent. All of those things are so human. I kind of rely on the tiny moments where I'm bad at my job

• 56:37Speaker 08

  to save my job, frankly, because I think that's how art ends up feeling human to me, is the parts of it that aren't executed perfectly.

• 56:46Casey Newton?

  Well, you know, my sort of question in this vein was like, a few years from now, it's time to make Megan 5.0. They come to you, they say, Allison, we have so much footage of you. We have, you know, so much.

• 56:59Speaker 08

  Oh, I've been anticipating this for, since the first movie.

• 57:02Casey Newton?

  Yeah, okay.

• 57:03Speaker 08

  Keep going, keep going, keep going with your question.

• 57:05Casey Newton?

  Sure. So, I mean, if they come to you, they say, look, we're gonna write you, you know, a really nice check, and you don't actually have to do anything. You can like, you know, stay at home, go make another movie, like, whatever you might like to do. We'll just sort of make Megan 5.0 using your digital likeness. What's your, like, gut reaction to that kind of offer?

• 57:21Speaker 08

  I've actually contemplated this from like a contract standpoint, that I would want my likeness compensated, first of all, to the same amount that my actual personhood would be. So that's the first one, is I would want to make it as cost prohibitive, not to say that I'm like enormously expensive to hire. I just mean like, you know, I would, I would not want it to be the vastly cheaper option. And I actually think, for now at least, it is the more laborious and difficult option. So luckily, I feel safe there, unless you're going for an uncanny kind of thing. But even for the Megan movies, like, we do a combination of human and machine. It's crucial to our achievement of Megan, and for Amelia, and for all of the iterations of all of these little beings that we have in this movie, I don't want to give them all away,

• 58:05Speaker 08

  but they're all a collaboration. But there will always have to be, I think, a human component for all of it, just because of what it is. And so I think that even if they want to do, let's say, like, something happens to Gemma, she's no longer alive, and she's reanimated as AI. And let's say that's the situation in Megan 5. I may have just written it with you guys on this podcast. I'm gonna, what do I do, like, put a flag in it, like, IP, this is mine?

• 58:34Casey Newton?

  Yeah, that's yours.

• 58:35Speaker 08

  That, no, that belongs to the Hard Fork Podcast now, sorry.

• 58:38Casey Newton?

  Kevin!

• 58:38Speaker 08

  We don't have room for just four cooks in the kitchen. That's fine, it'd be an awesome collab. Anyway, so I think, like, if that were the case, they would still, at this point, need me to be involved, need my physical, someone's physical body to be involved for it to work, even from like a motion capture standpoint. But I do want to, like, I guess I should copyright my likeness, I don't know, it's already, I already watch cuts of trailers for movies that I'm in that have, like, lines of dialogue that aren't in the movie that are said by an AI version of my voice, that don't end up making it to air, they're just in the draft versions of them, and then I go in and record them. That is always really strange, because it doesn't exactly sound like me, but for a second, I'm like, wait, I don't remember saying that, oh, okay, that's AI. And it's just so rudimentary now.

• 59:24Speaker 08

  But yeah, as of now, there has to be then a human pass on it, to make it sound, yeah, worse, I guess, in a way that's more normal and better, conversely.

• 59:35Casey Newton?

  I want to ask like a follow-up, related to kind of how different the two films are. So, Megan 1 is, feels very much like a horror film. Megan 2.0 feels a lot more like an action film, you know? To me, it was feeling like, kind of Mission Impossible across with Terminator 2. I wonder, as you're reading both scripts, like, you read the script for Megan 2.0, do you feel as an actor, like, oh, like, the, the genre has evolved here, and so my performance, it needs to evolve? And if you did feel that way, if maybe that is exactly the sort of thing that's gonna be hard to translate, when it comes time to make Megan 5, and the genre has maybe shifted yet again, and they don't actually have the raw materials they need to do the performance that you would have done?

• 1:00:19Speaker 08

  Exactly, I mean, that's a great point. I think the, the thing that's fun about this movie is that, we started having conversations about what it was gonna be before the first one even came out, and the clear mandate from like every corner of our world was, there's gonna be a second doll. And so the question then was like, Okay, let's extrapolate from there. Like, obviously, we're in a world where T2 exists, so let's not make like a direct one-to-one reboot of that movie. Let's figure out how to make it interesting and also like live in our world. And then as Gerard started to put the pillars of the plot together in a way that felt so logical to him and is so unpredictable as you start watching the movie to everyone else, and makes for such a fun and unexpected and unpredictable ride,

• 1:01:01Speaker 08

  he realized that we were really, we had to be in an action world for reasons I don't want to spoil. The stakes just get really bigger, the world gets bigger, and he, the stakes get really bigger. That's what a Yale education can give you. And not just a Yale education, an English major. The stakes get a lot higher. And the world expanded in such a way that it kind of, the story like pushed us into action. It wasn't the tail wagging the dog and the other way. Once we realized we were in that genre, like, it was a really cool thing to realize that we had created a tone in the first movie and characters that could be transported, like with, as long as there's still that thriller DNA in it,

• 1:01:47Speaker 08

  it can be like translated into a different genre. And now as we are, you know, talking about possibly being lucky enough to do another one, we're sort of asking that question again of like, okay, so where to, where do we go next? Like, what should we, where should we take this, this little team of misfits? Where should we creep other people out in the future? And it's a really fun way to iterate the franchise.

• 1:02:11Kevin Roose?

  Yeah, I mean, the, the thing that stuck out to me about Megan 2.0 as compared to the first one is it just feels like a much more complicated moral. Like, I feel like if the takeaway from the first movie was like, AI bad,

• 1:02:26Kevin Roose?

  there was some, there was some complication of that in the second one, where I don't want to spoil any details, but like, there, you know, there are points at which like AI is part of the solution. So did you feel like the script that you were reading and then performing was a more complicated, like, is the moral of Megan 2.0, to the extent that the film has a moral, something different than AI bad?

• 1:02:48Speaker 08

  Yeah, for sure. I think it had to be because I think making a movie with the moral AI bad would be like a deeply dick move in an era where AI is. Like, we just, it would be sort of like, um, I don't know, it would just be obnoxious to make a movie that's like, psych, we think this is bad and should go away, but you're stuck with it. So, you know what I mean? It would just be counterproductive. Whereas, I feel like the movie we made is asking a much more nuanced question. It just feels like, yeah, we're all on kind of a similar moral journey to the one that Gemma's on. And by the end of the movie, without giving anything away, we hear exactly how she feels on the topic. And it is, shocker,

• 1:03:31Speaker 08

  very different from the way it is at the beginning of the movie. Not that being cautious is a bad idea, but just that there needed to be asterisks to her argument because of where we are as a society. And there just are certain realities to that that she needed to contend with.

• 1:03:46Casey Newton?

  Yeah. In the first movie, there's a wonderful scene of a kind of like combination dance murder. In this one-

• 1:03:54Speaker 08

  Uh huh, one of those.

• 1:03:55Casey Newton?

  And this one, I desperately want to spoil, but I won't. There's an incredible song that brings the house down. How important is it to the creative team for there to be an iconic moment of gay culture in every Megan film?

• 1:04:08Speaker 08

  Extremely important, but it's not engineered like that. It's just a moment where she behaves, ah, in just a kind of a shocking use of the arts, I guess, in a moment where, especially when it's coming from tech, it's kind of shocking. I had this realization the other day, that I played a character on Girls who broke into spontaneous song to the detriment of everyone around her quite frequently, and like, never asked permission, and it was never the right time. And that, like, I'm almost being like karmically punished by watching this other doll-

• 1:04:45Casey Newton?

  This is your cross to bear, yes.

• 1:04:46Speaker 08

  It is sort of like, I have now brought another being to life that does this, where she'll spontaneously dance and/or sing at certain points in a movie when it's never feeling quite right. Anyway, I think that it's important to us that we make a movie that feels- So tonally specific, like making sure that we hit the same tone as the first movie was like priority number one because if we became too self-aware and too in on the joke and too winking at the camera, it would be a totally boring movie to watch and feel like exhausting. And so we knew that like eventually the camp would be there and the self-awareness and the in on itself would be there, but it would only be there if we executed completely earnestly on the story and the emotional beats as they were there.

• 1:05:30Speaker 08

  And I think watching women with really strong personalities committing to an emotional beat and then like rising to the occasion in their strength is in and of itself sort of a celebration somehow of queer culture.

• 1:05:44Casey Newton?

  Absolutely.

• 1:05:44Speaker 08

  And so it feels like making sure that we just like stick to that in these movies is not at all an effort to, I don't know, placate anybody, but ends up just sort of like taking us in that direction every single time.

• 1:05:59Casey Newton?

  I'm glad you did.

• 1:06:02Speaker 08

  Allison Williams, thanks so much for coming on. Thanks, Alison. Thank you for having me. This was so fun. I'm starstruck. We hope you'll come back for Megan 3. I absolutely will, especially if I get to play myself a human being. You will.

• 1:06:48Speaker 00

  Support for this podcast comes from Dell Technologies. It's time to put AI to work. Is your business ready? The challenge isn't getting started with AI. It's scaling beyond pilots while maintaining control of your data, governance, infrastructure, and costs. Dell AI Factory provides the integrated foundation you need to scale AI securely and efficiently with one trusted partner, Dell, AI on your terms. From idea to impact. Learn more at dell.com/yourwaytoAI. That's dell.com/yourwaytoAI.

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• 1:08:33Casey Newton?

  Before we go, for even more Alison Williams, head over to YouTube at youtube.com/hardfork. She participated in one of our favorite segments, Group Chat Chat, about what's been blowing up her phone lately.

• 1:08:46Casey Newton?

  Hard Fork is produced by Whitney Jones and Rachel Cohn. We're edited by Jen Poyant. We're fact-checked by Caitlin Love. Today's show was engineered by Katie McMurren. Original music by Marian Lozano, Diane Wong, Rowan Nemisto, and Dan Powell. Video production by Soya Roque, Pat Gunther, and Chris Shot. You can watch this whole episode on YouTube at youtube.com/hardfork. Special thanks to Paul Schuman, Puywing Tam, Dahlia Hadad, and Jeffrey Miranda. You can email us at [email protected] with how you would protect yourself from a killer robot.

• 1:09:40Speaker 09

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