Hard Fork - The Trump-Musk Fallout + A DOGE Coder Speaks + ChefGPT

Episode Date: June 6, 2025

This week, Kevin and Casey discuss the sudden breakdown between President Trump and Elon Musk, whose disagreements over the policy bill before Congress quickly erupted into an all-out feud. Then, an e...x-DOGE coder explains what it was really like to work inside the Trump administration’s cost-cutting arm. And finally, the former New York Times restaurant critic Pete Wells explains why some chefs are turning to A.I. for inspiration. Guests:Sahil Lavingia, C.E.O. of Gumroad, who spent 55 days working for DOGEPete Wells, New York Times restaurant critic from 2012 through 2024 Additional Reading:Live Updates: Trump and Musk Alliance Crumbles Amid Public Threats and InsultsThis Year’s Hot New Tool for Chefs? ChatGPT. We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify.

Transcript
Discussion (0)
Starting point is 00:00:00 Well Casey, I don't know if you know this, but today is my birthday. I did know that. Happy birthday, Kevin. Thank you. And what better way to celebrate than by making a podcast? It's true. Today I am 38, or as they call it in Silicon Valley, a senior citizen. And what is it like to sort of be entering your sunset years?
Starting point is 00:00:19 Do you have enough put away for retirement yet? I have actually been rebalancing my 401k, which is a very 38 year old coded activity. It really is. I was trying to consider what to get you for your birthday. And I thought, well, you know, why not ask the chat bots if they have any good ideas? So I just said, hey, my friend is obsessed with AI.
Starting point is 00:00:38 Like, do you have any gifts that might be funny? And it gave me a lot of things, I would say that were not funny. But one suggestion it did give me was, I would hand you a book, and on the cover of the book, it would say what to do after AGI, and then you would open it, and it was just a blank notebook.
Starting point is 00:00:59 I thought that's actually pretty good. That's pretty good. So did you do that for me? No, it was very expensive. Very expensive. I thought, mm, no thanks. Okay, well it's the thought that counts. Well the nice thing about a podcast is you can just say it,
Starting point is 00:01:09 it's as if it were real, you know what I mean? So you're pretending you're handing it to me. Yeah, enjoy. Oh, thank you, I appreciate it. Crinkle, crinkling the paper as he unwraps. Crinkle, crinkle. What a good friend you are. Yeah, so enjoy that.
Starting point is 00:01:21 All right. I'm Kevin Roos, a tech columnist at the New York Times. I'm Casey Doon from Platformer. And this is Hard Fork. This week on the show, Elon and Trump's feud goes nuclear. What does it mean for them and for America? Then, entrepreneur Sal Hill of India joins us to discuss his time at Doge and why it came to an abrupt end.
Starting point is 00:01:44 And finally, The Times' Pete Wells is here to explain what some of America's best chefs are doing with AI. I hope it involves cooking us dinner. Well, Casey, the big tech news this week is that there is trouble in Washington. That's right, Kevin. We're having a bro-legar-key blow up of the highest order. So, for many months now, there has been speculation about if and when President Trump and Elon
Starting point is 00:02:14 Musk would sort of come into conflict, would see their bromance fade. And that is happening today in a way that is pretty crazy. Yeah. And I have to say, Kevin, I was somewhat cynical when all of this started about how real it was, but I would say by approximately midday on Thursday, all of it seemed extremely real. Yes, it's very real. So we are recording this on Thursday, June 5th, around 5 p.m. Eastern time. So by the time you hear this, things may have changed. It's all happening very quickly.
Starting point is 00:02:49 But Casey, let me set the scene for you. I'm in a meeting, I'm doing an interview, I'm not looking at my phone or Twitter or any of my incoming Slack messages or emails. I get out and I have about 200 people yelling at me that Elon Musk and Donald Trump are fighting. And this was something that we had been sort of keeping our eyes out for. Obviously, these are two very combustible personalities who like to fight, especially
Starting point is 00:03:16 on the internet. But Casey, what are they fighting about and how did this start? Well, it all started with the one big, beautiful bill, Kevin. That is the giant budget package that President Trump has been trying to move through Congress. It passed the House and is now being debated in the Senate. And it emerged over the past several days that Elon Musk did not like the big, beautiful bill. In fact, he did not think it was beautiful at all.
Starting point is 00:03:43 And earlier in the week, he called it, quote, a disgusting abomination. Yes. So he's not a big fan of this bill. But that by itself does not seem like grounds for a legendary falling out with one of your former top aides and political allies. So what else is going on here other than a dispute over this budget bill? Well, let's mention a couple of specifics about the bill though, Kevin, because it is sort of the best evidence we have for what might be driving Elon to be so angry. So one thing is that this bill would eliminate
Starting point is 00:04:19 an electric vehicle tax credit, which is of course beloved by Tesla owners. Elon is of course the CEO of Tesla. So this could potentially be a big financial hit to Tesla at a time when its stock has been falling precipitously. In addition, Axios reported this week that Elon was seeking a deal with the Federal Aviation Administration to get it to use Starlink for its communication infrastructure. Starlink is of course the network of satellites owned by SpaceX, another Elon company.
Starting point is 00:04:52 So we there have two examples of what would have been fairly big deals for Elon in two of his different businesses that he pushed very hard for and did not get. And that leads me to, I think, the emotional or psychological answer to your question, which is why is Elon so mad? And to put it simply, Kevin, this is not what he thought he was paying for when he tried to buy the 2024 election. Right. I mean, he was out on X
Starting point is 00:05:19 this afternoon saying that basically Trump was only president because he was involved in the election. He donated all that money. He did all that campaigning. He is basically claiming credit for not only Trump's presidency, but also the Republican congressional majorities that that party currently enjoys. So I saw him claiming credit for that stuff
Starting point is 00:05:42 and I thought, man, Trump is not gonna like that. And as it turned out, Trump did not like that. No, he did not. He posted on his own social network, Truth Social, a number of things. He said that Elon was, quote, wearing thin, and so he had asked him to leave the administration, which I think was pretty well known.
Starting point is 00:06:04 Later, though, he escalated things by saying, quote, the easiest way to save money in our budget, billions and billions of dollars is to terminate Elon's governmental subsidies and contracts. I was always surprised that Biden didn't do it. Right. And then Musk fired back talking about how Trump is mentioned in the Epstein files and that's why they have not been released. He's also more recently talked about needing a new political party and most recently, his most recent post as of this taping is another share of a video in which Donald Trump and Jeffrey Epstein are talking in 1992. Well, and don't forget, Kevin, he also, quote, tweeted a right wing influencer who had asked
Starting point is 00:06:50 in the wake of all this, should Trump be impeached? And Musk said, yes. He said, essentially agreeing with the post that said Trump should be impeached and replaced by JD Vance. So that was the post when I saw it where I was like, okay, this is not two guys like playing drama for the media. Like they're actually real mad at each other. Yes, this is a big fight
Starting point is 00:07:12 and it has got a lot of people talking. But while we wait for the dust to settle here, I don't think it is too early to start thinking about what this means, not only for the Trump administration, but for Elon Musk and for some of the projects that Elon Musk had undertaken while he was in Washington. So Casey, what do you think this feud and this breakup
Starting point is 00:07:35 between Donald Trump and Elon Musk means for Elon Musk? Let's start there. Well, I think it has the potential to do a lot of damage to Musk. Remember, one of the reasons why he made his way Well, I think it has the potential to do a lot of damage to Musk. Remember one of the reasons why he made his way out of the administration was because his businesses are increasingly in trouble and that begins with Tesla. Tesla has a number of challenges that we don't have the time to get into today, but there's
Starting point is 00:07:59 a real sense that Musk has not been focused on that business and needs to return to it. Instead of doing that though, he just amped up his feud with Trump. And today, Kevin, Tesla stock declined 14%. So I would not be surprised if it continues to decline in the days ahead as people kind of process what this means. But let me throw out an even spicier possibility for why this could be trouble for Musk. And I wanna say that Elizabeth Lopato noted this in The Verge, but she reminded me that
Starting point is 00:08:29 the Washington Post had reported that Musk began his career in the United States by working here illegally. And you know, and Elizabeth is wondering, could this actually complicate his naturalization? Would Trump actually go after Musk and try to strip him of his citizenship? Let's just say if that happened, it wouldn't be the first person who thought he was a citizen of the United States who found himself deported during this Trump administration. Well, right. And that seems a little like crazy when you just say it like that.
Starting point is 00:08:57 But allies of the president are actually calling for this now. In fact, just recently, Times reporter, my colleague Tyler Pager says that Steve Bannon, the former Trump advisor, was calling for President Trump to not only cancel all of Musk's contracts, but to initiate a formal investigation of his immigration status and maybe deport him. So I don't know that this is likely to happen. This seems like maybe a bit of wishful thinking. But I do think it is going to be a very painful breakup
Starting point is 00:09:27 for Elon Musk, not only because of his exposure through Tesla to some of these policy moves and the billions of dollars that he would stand to lose if Tesla's stock slide continues, but also because of things like government contracts for SpaceX, right? This is a man who has billions of dollars in exposure to government contracts. If some or all of those contracts are cancelled by President
Starting point is 00:09:50 Trump, he does stand to lose out that way. So not a good day for Elon Musk and his portfolio. Well, and let me throw in one more legal risk, Kevin, because Democrats on the House Oversight Committee have been trying to subpoena Musk. recently Representative Nancy Mace, who is a Republican from South Carolina, suspended the hearing so that Republicans could come and vote against the subpoena. You can now imagine a world where Trump, it goes to the Republicans and say, hey, you know what, go ahead and let that subpoena take place. So there are a lot of legal risk here. And I would just say that often
Starting point is 00:10:25 in cases where authoritarians take power, it's the billionaires in the country that think, I know how I can make my safe, I'm going to cozy up to this person. And then they find that when something goes wrong, they're actually in more danger than anyone else. Yeah. Casey, what do you think this breakup means for President Trump? Well, think about how Musk functioned during the first few months of this Trump administration. He was Trump's heat shield. He went out, he did a bunch of really unpopular things, and he largely took the blame for
Starting point is 00:10:53 it. He took the blame for Doge dismantling wide swaths of the federal government, right? Now Musk is gone. And so there isn't that same kind of heat shield out there. Trump is going to have to own his decisions more. And I think his presidency is going to look differently because of that. Because while this feud is undeniably entertaining and actually hugely consequential, I worry that something that's going to be lost is how useful these two men were to each other
Starting point is 00:11:21 during the period they were useful to each other because they both got a lot out of this arrangement. Absolutely. It was a very lucrative arrangement for both of them in some sense. And I wonder if that doesn't end up sort of mending the feud here. If like these guys get all of their rage out on each other and then sort of decide, well, if I'm Elon, I don't really have anywhere else to go, right? I've burned my bridges with Democrats and on the left
Starting point is 00:11:50 and the Republican Party now belongs to President Trump. And so I think if you're him, you just may decide to stay out of politics altogether. But if you wanna stay involved, you're kind of politically homeless if you're Elon Musk. And so maybe you do end up wanting to come back to Trump at some point, but it's too soon to say, I think. And in the meantime, he's promising to create a third
Starting point is 00:12:12 political party that will represent 80% of all Americans. And let's just say I'm looking forward to seeing how that one plays out. So Elon Musk no longer has a formal role in the Trump administration, but plenty of his allies and people that he brought in are still there. So I'm curious what you think this breakup will mean for people like, for example, David Sacks, who is the president's advisor on AI policy and crypto and a longtime ally of
Starting point is 00:12:42 Elon Musk's. What do we think happens to the tech right if Elon Musk, who was responsible for some of that realignment behind Donald Trump, is no longer in the president's camp? Well, you know, Kevin, have you ever been in a situation where like two of your friends broke up with each other and then you had to choose which one
Starting point is 00:12:59 you were still gonna be friends with? Yes, the friend divorce. Yes, well, so there's about to be a major friend divorce in Washington, DC, and we're going to have to see who sides with who. You know, the way that Trump tends to operate is by sort of showing loyalty to anyone who is loyal to him. And so if in the days ahead, the David Saks's of the world
Starting point is 00:13:20 go to him and say, Elon is wrong, you are right, make America great again. I can imagine those people continuing to have a role in the administration. If on the other hand, they feel loyalty to Elon for whatever reason, and Elon is the world's richest man and could give people a lot of reasons to be loyal to him, then you might see more of a split. So this is one where we truly don't know the answer to it, but I think is one of the most interesting questions to watch in the week ahead, which is what do the members of the tech right who Musk had brought to Washington, how do they respond to what has happened today?
Starting point is 00:13:53 Well, and we should also talk about what happens to another group of people that Elon Musk and his allies brought to Washington, which is Doge. Doge still exists. They are still out there doing cost cutting measures in various federal agencies. If Elon Musk goes, does Doge go with him? Yes. Wither Big Balls might be another way to put it, Kevin. Big Balls of course goes, so goes the nation. Big Balls of course, one of the most famous employees of Doge, and you can look up his accomplishments online. So here's why this is an interesting question. I was seeing some chatter about this online over the past couple of hours. Because many of these folks who are part of Doge
Starting point is 00:14:37 are considered to be Elon people, Elon loyalists, I'm sure there is now a contingent within the Trump administration saying that Doge is now what they would call in Silicon Valley an insider threat. This is a group of people that you now have to be worried about doing some sort of sabotage, right? Showing loyalty to Elon somehow. And so I would not be surprised if this was actually a conversation being had right now at the White House, which is which of these folks is loyal to us, which is loyal to Elon. And so we may actually see a big Doge Purge coming. A Doge Purge, Kevin. It is just so wild to me to watch this breakup happening more or less in real time. I mean, I remember when Elon Musk threw his weight behind the Trump campaign,
Starting point is 00:15:26 people were saying, oh, this will be short lived. There's no way these two can sort of coexist. Neither one of them is good at sort of sharing the spotlight. This is gonna be a combustible situation. And I just thought there would be enough mutual benefit in it for both of them to keep this thing going for at least longer than it appears to have gone.
Starting point is 00:15:48 But I don't know, Casey, are you surprised by what you've seen over the past couple hours? Not really, you know, I wrote a year-end predictions post. One of those predictions was that the bro-legarchy would blow up. I am far from alone in making that prediction. I think maybe even, you know, most observers assume that something like this would happen just because we have enough data to know about how Donald Trump and Elon Musk tend to view other powerful people in their orbit.
Starting point is 00:16:14 Typically, when they don't get what they want, they get super mad and they turn on each other. And so when it finally happened, initially, I was skeptical just because they were kind of playing footsie with each other a bit. And I thought I thought you know Elon has a lot of good reason to make people like me believe that he is mad at Trump and he's creating this distance between Himself and Washington. Maybe that you know makes it a little easier for him to sell Tesla's to Democrats again But when it went fully nuclear There was actually a sense of relief because in a year where so many news Developments have made me feel like I am crazy and no longer live on the same planet that I was born on,
Starting point is 00:16:49 this was the moment where I was like, okay, some laws of gravity do still apply. Sometimes you can just trust what you see in front of your eyes. And this was that moment for me. Yeah, it does make me really feel for the Tesla owners out there who are trying to figure out which bumper sticker to
Starting point is 00:17:05 put on their Tesla to indicate that they're not on board with Elon Musk's political agenda here. I'm not sure that any of them have changed their bumper stickers in the last few hours, but it does seem like Elon Musk has both alienated Democrats who no longer want to buy Teslas. And now as of a couple hours ago, he has probably alienated the MAGA wing of the Republican Party. And you can assume that they will not be buying his Teslas and Cybertrucks anymore either.
Starting point is 00:17:35 Well, Kevin, I'm sure you have a lot more questions for me, but I really should get back to reading social media posts and sharing them in my group chats. And if there was a social media post that seemed really important that we didn't talk about, it's probably because it was posted after 5 11 p.m. Eastern time on Thursday. Ha ha ha ha. ["Dog's Days Are Over"]
Starting point is 00:17:59 Will he come back? His doge days are over. Sahil Lavinky is here to tell us what he did to the federal bureaucracy. Well, Casey, speaking of Elon Musk and Doge and the Trump administration, we have a very exciting interview to share on the show today. Yes, an interview that we should say we conducted before all of the dramatics on social media on Thursday between Musk and Trump. Yes, so last week before any of this happened when
Starting point is 00:18:37 Donald Trump and Elon Musk were still friends, a former Doge employee, Sahil Lavingia, published a really fascinating blog post about his 55 days that he spent working for Doge before he was fired. He was stationed inside the Department of Veterans Affairs as a software engineer. He's a veteran startup worker. He worked at Pinterest, he then started a company called Gumroad, which is sort of an e commerce platform. And I think this is a really important conversation to have because despite the fact that Elon Musk is now persona non grata in the Trump administration, Doge is still there.
Starting point is 00:19:14 Its employees are still stationed throughout the federal government. And so I wanted to take the chance to have a rare conversation with someone who has actually worked for Doge inside the federal government and who has seen what it's like up close. Let's bring them in. Sahil Lavingia, welcome to Hard Fork. Thanks for having me. So Sahil, you have been around Silicon Valley for a while. You had a pretty good thing going. You were one of the first employees at Pinterest. You then went on to found your own company, Gumroad.
Starting point is 00:19:51 What made you interested in stepping away and moving to Washington DC to work for the federal government? Yeah, I've always wanted to work for the federal government. I think it's such a cool opportunity. I mean, as a software engineer, which is my background, product designer, I think it's such a cool opportunity. I mean, as a software engineer, which is my background, product designer, I think it's hard to think of another opportunity for such a large impact. I think when I was even in high school, I always felt like I would eventually want to work for the federal government. When I left San Francisco, I remember feeling like the only things that's like private businesses were responsible for were like little jewel boxes on Mission Street,
Starting point is 00:20:24 you know, everything else was like powered by public infrastructure. And so eventually if you're a competent software engineer and you wanna really have a maximized impact on the world, the Steve Jobs sort of dent in the universe, you'd have to go at work for the government eventually. I can imagine that the past few administrations might've been happy to accept your help. Why was this the moment that you wanted to step in?
Starting point is 00:20:47 Yeah, I mean, I actually applied to work at USDS back in the day. So I think around 2015 when Gumroad, we failed to raise our series B, laid off most of the team, and I was trying to figure out what I wanted to do next, I applied to USDS. But I think my background at the time was still,
Starting point is 00:21:02 it's very startup-y, which is not exactly, you know, like the Venn diagram overlap of skill sets with what you may need in the federal government, you know, like the largest company on earth. So I did apply and I never heard back. And when this sort of DoDE thing started to happen, I felt like, you know, this meets the criteria of shipping code for the federal government.
Starting point is 00:21:24 And yeah, I wanted to work there. like, you know, this meets the criteria of shipping code for the federal government. And yeah, I wanted to work there. Now, how did the hiring process go? Like do they do any kind of like ideological or political filtering? Did they ask you like, what do you think about, you know, foreign aid or, or, you know, USAID or anything like that? I was asked, you know, did I vote for Kamala Harris, for example, right? And basically, like, if you voted for Kamala Harris,
Starting point is 00:21:47 like, you shouldn't waste your time here. Like, you're not gonna get through whatever the process ends up looking like. This is pre-inauguration, so pre-inauguration, there's a Trump, you know, this kind of has to flow through the Trump transition team. And I said, look, I actually didn't vote for Kamala Harris. I didn't vote for Trump either, so if they need that,
Starting point is 00:22:03 then it's not gonna really work out. But anyway, yeah, so they asked these sorts of questions. I think, my guess is this kind of came from Trump and that side of the doge, I don't think, cared too much, but. So they approve your application, and then what happens? You just kind of get assigned a role?
Starting point is 00:22:23 Yeah, I mean, it's interesting. I mean, I feel like I never even got like, sort of like an approval, you know? Like it wasn't like congratulations or, you know, here's your offer letter, here's your salary, here's your boss, here's your department, that sort of stuff. That basically what happened was,
Starting point is 00:22:38 I passed, I guess, to some degree, and eventually they said, hey, we have a role for you at the at the VA at VA as a Software engineer you should go talk to like this sort of doge team lead at the at the VA And if that seems like something you'd want to do like let us know and so that's kind of what happened And I talked it talked to them and and eventually they said you know if you're interested you have to get fingerprinted Here in DC and so it's sort of like chicken and egg thing, where it's like, you're not going to get any information until you move to DC.
Starting point is 00:23:07 And once you move to DC, you're here, right? So I never actually, even today, I still don't know what my salary was. I assume it's zero, but every once in a while, I get a check in the mail for some de minimis payment, which I assume is to make sure I'm not violating some minimum wage law. Wait, you didn't talk about your salary
Starting point is 00:23:22 before you agreed to take this job? I'm a phenomenal negotiator. Yeah, that's strange. I didn't know. I mean, the day, I'll tell you the facts I knew, right? So I knew that I was supposed to show up 7 45 AM at VA, the VACO sort of Veterans Affairs Central Office in DC, you know, on March 17th.
Starting point is 00:23:46 And actually, that's all I knew. So yeah, I didn't know. I didn't know who my boss was. I think I learned like the third day or something. Like who I, like I didn't know my role. You know, it doesn't say your role like on your badge. I basically got my PIV card and I got a government laptop, which they called GFE, you know, government furnished equipment.
Starting point is 00:24:05 And then that sort of doge people there kind of walked me through what I was supposed to be doing, what they were working on. And you know, I was sort of there to like offer my technical expertise, though the laptop I got, for example, I couldn't run Python on it, I couldn't run Git, I couldn't download anything. And so I had to like work through this exercise of being able to cook without any equipment. I wanna ask a little bit about the orientation. You mentioned that some of the folks at Doge explained to you
Starting point is 00:24:31 what they were working on. You know, you were there presumably to serve the veterans of the United States. Did you have discussions with Doge about, this is sort of who we serve, this is what they need, this is sort of how we want to make things better for them, or was it sort of more focused on sort of cutting costs and that sort of thing?
Starting point is 00:24:52 Yeah, the Doge conversations were around cutting costs. I think there was the Venn diagram overlap of, at the end of the day, I'm an employee, at least that's what my badge said, I'm an employee for a VA. You know, you go through the VA specific onboarding, there's no Doge specific onboarding. you've got a VA laptop, you know, I have the ICARE a little memorandum on my backpack now.
Starting point is 00:25:14 And so, you know, I was always like, this has to meet the filter of like what the VA wants, right? Nothing's going to happen if the VA doesn't want it. And so it kind of has to meet two criteria for something to be interesting, right? You have to sort of save money and make the veteran experience better or it. And so it kind of has to meet two criteria for something to be interesting, right? You have to sort of save money and make the veteran experience better, or at least not make it worse. But it wasn't like an explicit conversation of like,
Starting point is 00:25:32 okay, how do we actually ship software to make veteran experience better? I had a lot of those conversations, you know, because I was interested in doing that. So I just would meet with the office of the CTO, which actually was like pretty well developed at VA because the USDS OG had kind of built a lot of a coalition there.
Starting point is 00:25:51 They use GitHub, they have Slack, that sort of stuff. That's really interesting because I think that the larger narrative that people have heard from Doge and from Elon Musk and people who are affiliated with him is that sort of, once you start looking, you know, under the hood, inside these government agencies,
Starting point is 00:26:09 you find all kinds of waste and fraud and abuse and skeletons in the closet. And like, basically what you're saying is that you were surprised by how well the VA worked. Am I hearing that right? Yeah, I was, yes. I was surprised by how effective the government is. You know hearing that right? Yeah, I was, yes, I was surprised by how effective the government is.
Starting point is 00:26:29 At the end of the day though, like you're sort of defining effectiveness by like what you're asked to do. And so I do think that government is asked to do a lot of weird stuff. They tend to be quite effective at doing those things, but Congress I think has a role to play in this. You can think of Congress as like the worst PM
Starting point is 00:26:43 you've ever met, right? And you're asked to like build an app with all these weird specifications. Like you're doing a job, but you're kind of like playing twister as an organization to like do it. But surprisingly, yeah, I mean, there are many meetings I was in where I sort of maybe came in a little bit antagonistic to adversarial to like, why does, why is this contract $40 million to like, you know, process claims or something. And I would leave being like, oh, I get it. You know, like that makes, actually it's pretty impressive. Hmm.
Starting point is 00:27:09 You wrote in that post about this Doge all hands meeting where Elon Musk was taking questions, that one of the things he was sort of asking the Doge employees for was ideas about how to improve the public perception of Doge, which I imagine at this point was getting, you know, sort of all kinds of criticism for gutting various agencies and laying people off and cutting foreign aid and things like that. Did it seem to you at any point during this experience that Elon Musk and other Doge leaders
Starting point is 00:27:40 were interested in solving actual problems or were they just concerned about the appearance of productivity and efficiency? I think, I mean, maybe I'm naively optimistic, but I think there was truly like a desire to solve problems, because that's how you save money at the end of the day, is you solve problems, you kill two birds with one stone, that sort of thing, that's what software can do.
Starting point is 00:28:06 I think my guess is, is that, you know, for example, at the meeting I suggested like we should live stream this meeting. I think like this sort of, this would help, right? Like if people saw like how the sausage was made and how, you know, we weren't like scheming on like how to, you know, kill a bunch of African children. Like I think it would sort of help the brand image.
Starting point is 00:28:27 And he embraced the idea. He was like, that sounds awesome. We should do it next week. Let's do it next week. We'll start doing it next week. Unfortunately, there was no other meeting that I was a part of. So I never got to follow up on that next week thing. I didn't get the invite.
Starting point is 00:28:38 Did it happen? I didn't hear about it on Twitter. What's going on? My guess is the most optimistic, good faith take would be that they were truly interested in these kinds of ideas, but the Trump admin wasn't. I think people realized pretty quickly, like, this was not going to be, like, this sort of walk in the park and let's just focus on what we can do, which turned out to be, like, cutting contracts.
Starting point is 00:28:57 But at the end of the day, like, a bunch of software engineers don't, it's not really necessary for that effort. Well, so tell us a bit about the cutting contracts piece. You have this situation where folks like yourself who are sort of public spirited, want to see if they can make a contribution, parachute in, they're assigned a role at an agency they have no prior familiarity with, and then are just sort of asked to hack millions of dollars out of the budget. How did that work?
Starting point is 00:29:27 Yeah. So, you know, one of the Trump EOs is that the Doge team gets to sit in on a lot of contracting meetings. And so we sort of helped them review as many contracts as they could. And then beyond that, it's just like lending my technical expertise, right? It's just basically sitting in on a meeting where someone will say, you know, we're like paying, you know, $4 million for this like chatbot on VAgov. Like how, you know, and I'm like, well, you know, like that would take me like a week
Starting point is 00:29:51 to build and integrate. And you know, could you explain why that costs so much more money? And you know, just trying, you know, a lot of it was just like there was somebody in the room that had coded before. I think that was a lot of it. It's like you're was a lot of it. It's like you're paying a lot of money for things without the domain expertise to understand how much it should cost.
Starting point is 00:30:12 So I was like the, hopefully somewhat the credible expert, quote unquote, who would come in and talk to Booz or Deloitte and just be like, hey, do you guys use Cursor? Like what are the efficiency gains? Like could you pass them on to us? Like could you shave like 25% off the bill? That sort of thing. At the end of the day, like, we didn't have any true, I think a lot of people think Doge had a lot of power
Starting point is 00:30:31 to fire and at least from my perspective at VA, we did not. Like, the EOs don't give us that power. Like, unless VA is willing to give us the keys, like, we can't drive the car. But we could sit in meetings and we could sort of, you know, kind of be annoying, right? And just ask questions. I wanted to ask you about these meetings
Starting point is 00:30:47 because I think there's this popular image that at least was going around during the early days of Doge that Doge was sort of just this group of like, you know, kids in, you know, hoodies who would like barge into these meetings with very experienced civil servants and you know demand to know what they were working on and would sort of just sort of run in and rip things up and and and
Starting point is 00:31:15 That it offended a lot of the career employees of the agencies where they were stationed Was that what you witnessed were Were you the sort of archetypal guy in a hoodie coming in and telling these people, these 30 year veterans of the VA, how to do their jobs? I was not that person. I did not wear a hoodie. I wore a shacket, a little bit of an upgrade. But yeah, I mean, I think that I'm sure to some degree
Starting point is 00:31:45 that was happening, frankly, like I do think, I'm not saying this, I don't think these stories are made up generally, you know, like I think they come from truth. And there was generally this vibe of like, you know, they're not gonna help us or like, they're kind of gonna like give us the wrong information and cause us to go down this path,
Starting point is 00:31:59 which I think is probably common in a transition period. Right? Like I think every set of transitions, you have sort of a bunch of political appointees that come in and you have a new boss that doesn't really know what they're doing. Everyone's had that manager that doesn't really understand like why is someone taking so long
Starting point is 00:32:13 or why is it, you know, that sort of thing. But I don't think it was like as much like this idea of this is office space, you know, interview process. Like even the RIF, right? I learned in- RIF is the Reduction Enforced AKA Lay- RIF is the Reduction Enforced, AKA layoffs. Exactly, the Reduction Enforced, the Workforce Optimization Initiative
Starting point is 00:32:30 where Trump wants to cut the federal workforce. That entire EO is basically about making a recommendation to the White House about what to do. It's not about actually firing anyone. And specifically for me, that EO gives Doge zero power to fire anyone. So this idea of these office space conversations where you're asking like, so what are you doing here?
Starting point is 00:32:47 There's no point in that. I was, however, I will say, I was on the older side of the engineers, of people who were identified as software engineers. I think there were maybe two or three people who were above the age of 30. And most people were relatively young and probably not worked a ton in private companies even.
Starting point is 00:33:05 And it's just different too, right? I think the culture, there's this culture clash, loss in translation thing. Are there any anecdotes or stories from your time at Doge that would help illustrate the culture clash? I would swear, you know? And I remember someone telling me something like, that will get you fired.
Starting point is 00:33:24 It was just like interesting, like the rules and regulations that exist, that sort of define conduct. There's just a lot of those things. Even the DRP, the DRP massively did not work. Like I think everyone- What's the DRP? The DRP, the Deferred Resignation Program,
Starting point is 00:33:38 the Fork in the Road emails. I see. Which are incredibly, from someone who works in the private industry, you get eight months of severance like that's like Oh, that's a lot. That's pretty good, you know but like the numbers of people who took it was like Drastically low and I think people there's just like this cultural disconnect of like why are you here?
Starting point is 00:33:55 Well, you're here to like work for the government for life like so like an extra eight months of me It's like doesn't compute like you're on a different completely different career path It's not like you're just gonna exit the government and then go work at X. You know, like there's a completely different ways of thinking about how you wanna live your entire life. It took time for me at least to understand that like, these people love their jobs.
Starting point is 00:34:19 And I think that's kind of a lot of like the sort of disconnect culturally. It's like inefficiency versus efficiency. It's like everyone sounds the same, like looks the same, dresses the same, but like the way they make decisions then manifests very, very, very differently. Well, what was making you swear so much, Sahil?
Starting point is 00:34:37 I swear a lot. I just swear a lot. I just think I was kind of a San Francisco pirate mentality or something like that. But it wasn't in anger, it wasn't at anybody, but just like, why the fuck is this so weird? Like it's just like this kind of like surprised emotion that I can't really help but express in that way.
Starting point is 00:34:57 I can't believe you just swore on our podcast. I know, please cut that out. You're fired, get out of here. Don't let the door get you. I'll give you one example, like a little bit of a cultural, like sarcasm. Like sarcasm just doesn't exist in the government workplace for some of these reasons.
Starting point is 00:35:11 Where I'd come in and they'd be like, what are you here for? And I'm like, I'm here to riff everybody. And just like, dead. Wait, you thought that was gonna go over well? You gotta read the room, dude. I know, that's part of the culture. I'm not very good at reading.
Starting point is 00:35:25 I'm good at writing code, not reading rooms, right? Like it's like a kind of tends to be a different set of skills. Yeah, I can see how that one didn't go over well. Hey, I'm new here. I'm gonna let you all off. So maybe that maybe I maybe the story was about me. Maybe workshop that one next time. Yeah, let's work on that. I'm curious. I think a lot of people, Sahil, will be listening to this and thinking,
Starting point is 00:35:49 this guy sounds really naive. You know, he hears about this Doge thing. I think a lot of people, especially on the left, think that Doge is sort of just a kind of pretext for an ideological purge. If they look at what the agency has been doing inside these various federal bureaucracies, trying to essentially purge any hint of leftism or wokeism
Starting point is 00:36:16 in what these agencies are doing, and they will say, Sahil should have known better than to expect that he was gonna go in and actually be valued for his expertise in coding. He did not know that he was signing up for, or he should have known that he was signing up for something very different than that. What is your response to that?
Starting point is 00:36:34 Of course the New York Times would say that. Get his ass. Now I mean, look, at the end of the day, it's like when I joined Pinterest and people were like, you know that startup's not gonna work, right? And it's just like statistically no, but maybe yes. And if the maybe has an outsized impact, then the math ends up working.
Starting point is 00:36:55 And so that's what I felt. I felt like, look, I think all startup people are naive. I think that's part of what makes us startup people is that we're not willing to just listen to the traditional, this is why we don't do that, or it's just like, no, we're not gonna do that thing that you learned the hard way. But also, every once in a while, you get an iPhone,
Starting point is 00:37:11 or you get AI, or something like that. But yeah, if people are like, hey, you failed, I'd be like, yeah, that's what happens. Lots of things are a waste of time, and I have time, so I'm gonna try. Let's just close the loop, Sayil, on why you were let go from the government. You suggested in your blog post that your leading theory for why you were rift, as you put it,
Starting point is 00:37:31 is because you talked to a journalist at Fast Company. Is that still your understanding of why you were let go? Yeah, I never heard anything from them. All I heard was like, did you run this by anyone at Doge? I said, no, I did not run it by anybody. And then, you know, a day later, my access, I just got an email from GitHub, basically, that was just like, you're no longer a member
Starting point is 00:37:51 of the VA on GitHub. And I was like, oh, what happened? You know, and turned out I was, I was riffed. But yeah, that's all I've heard. I've never heard from anyone affiliated with Doge since then, you know, so like on anything I've done that like they, they just kind of ghosted, ghosted me. That seems very sudden as a way to get laid off
Starting point is 00:38:12 or to find out that you have been laid off. Did that process, that ghosting, as you described it, change the way you felt about your time with Doge? Yeah, I mean, it honestly made me feel like I wasn't going crazy. Like I felt like I was misreading the room and I would just like, clearly we have a good goal.
Starting point is 00:38:35 You know, like why do we keep making these kinds of mistakes? Why are we so unempathetic? And when I just got ghosted, right, like just disappeared, my access just stopped working, no response, honestly it made me feel good in a way that like I wasn't the problem here. Like it's like just that this is just the culture
Starting point is 00:38:54 of this weird entity, you know? It's like this emergent behavior of like lack of empathy that exists in these systems I think, and everyone gets to blame somebody else and kind of opt out of empathy that exists in these systems, I think, and everyone gets to blame somebody else and kind of opt out of their own. But yeah, I mean, I think it gave me the sense of like, you know, my wife was right. This was not exactly like the best use of my time.
Starting point is 00:39:16 Unfortunately, the only way to learn that, you know, was to kind of, you know, the FOMO was real, right? At the end of the day. It's a powerful reminder that I think a lot of other Silicon Valley CEOs could learn, which is listen to your wife. She's onto something. I think it's helpful.
Starting point is 00:39:33 I think it is, and now she tells me something, I'm like, my default is yes. Well, if Doge has done one good thing, it's made your marriage more harmonious. So congratulations. Thank you. I'm curious how you think about the theory of Doge. I think one thing that often occurs to me when I hear people in tech talking about the government
Starting point is 00:39:59 and bureaucracy is the idea that efficiency is sort of the ultimate good, right? That if you have a system that is slow moving, and has friction involved in it, and it's using outdated technology, that it is an unquestionable good to go in and kind of smooth those bumps to make things faster, more efficient, cheaper. There is also, I would say, something about government that is potentially inefficient by design, right? Part of the reason that things in government take longer than they do in the private sector is because governments are not businesses, right? They have to account for real
Starting point is 00:40:42 constituents. They have to weigh various priorities against each other, sometimes conflicting priorities. They have to do the deliberative process before they embark on something that could potentially change people's lives. I'm curious if you still think this Silicon Valley attitude is needed in Washington if that is something that the government, the federal government should have more of, or if you are coming to the view that maybe these are just two different agendas.
Starting point is 00:41:15 I do think there's a synthesis here, which is, I think if you define the goals accurately, then efficiency is better. Like if you're able goals accurately, then efficiency is better. Like if you're able to meet those objectives, but spend less money doing it, or make it faster, or require people to fill out less forms, then it is better. Just efficiency is better. I think the loss in translation thing is the Silicon Valley doesn't serve every person.
Starting point is 00:41:43 But if the government has a program, it's going to have to serve everybody, right? So I think efficiency is still a good. I think it's just really important to understand what are the constraints. I personally think the better word would be sort of like modernization or simplification. Efficiency I think has now just such a loaded connotation to it, just like cut, get rid of, things like that. But I do think simplifying things, taking two systems that, I think what now just such a loaded connotation to it, just like cut, get rid of, things like that. But I do think simplifying things, taking two systems that, you know, I think what tends
Starting point is 00:42:08 to happen is the government just stacks things on top of things that exist. It doesn't often refactor code and like combine systems. Like there's a lot of agencies, each agency spun up to do a new thing. And I do think it would be good to simplify every once in a while and sort of say, hey, these three things that came up in three different eras We could now sort of merge I'm sure many people are sympathetic to the idea that the government is not as efficient as it could be and they would love To see various aspects of it modernized so that the government was just easier to use My instinct for how to do that would be to do it slowly and carefully by bringing in a lot of expertise and then giving them the time to work. The Doge approach was to sort of bring in a bunch
Starting point is 00:42:50 of people who don't have the relative expertise, ask them to get a ton done in a hurry and apply this kind of ready fire aim approach to the federal government. So I think there are a lot of Americans right now who are looking at Doge and Seeing it as a kind of catastrophe where we've sort of disabled vast swaths of the federal government To know apparent benefit and I wonder how as somebody who worked on it What you say to people who just see Doge as a catastrophe? Yeah, I mean it's unfortunate, you know. I don't regret my time there because I didn't work on those specific projects and I think I had a positive impact.
Starting point is 00:43:31 You know, it's like, you know, do you throw the baby out with the bath water? Hopefully I was more the baby. But yeah, it's unfortunate. As another Doge engineer said, like, mistakes were made. I don't know if the people who made the mistakes felt they were mistakes, but from the perspective of people who really wanted to come in and just work hard and make changes, I think it was less than ideal. But at the end of the day, this is like a Trump administration. That's who Americans voted for. Some Americans are very happy with what's happened, you know, and would like more of it to happen. And we live in a democracy and I just, I'm just not like an opt out type of
Starting point is 00:44:09 person, like I'm only on earth for a short amount of time. I can't wait for like some, you know, some person or some party that I really agree with and I'm only going to work there if I really like align with everything they do. And I have a lot of faith, frankly, that there are a lot of checks and balances, that either these systems will come back, that they were blocked. There are a lot of things that prevent this ready-aim fire,
Starting point is 00:44:33 that gun never actually goes off. It looks like it goes off. Everyone reports like it went off. But then a judge rolls it back. And so I think it is this naive optimism. And unfortunately, it's kind of confirmation. It's like, I am who I am. You know, I'm not gonna change.
Starting point is 00:44:47 Like, I really believe in using software to make the world better. Well, I think that's a good place to end. Sahil, thank you so much for coming and welcome back to Civilian Life. Thank you. It was great. Thanks, Sahil.
Starting point is 00:45:05 After our interview, we reached out to the White House for a comment on Sahil Lavingia's experience at Doge, in particular, a couple of things that he said about his vetting process. The White House said that basically you are allowed to ask people political questions when they're being vetted for political appointments, like roles at Doge, and the Doge employees understood
Starting point is 00:45:25 their general responsibilities to cut waste. We also asked for some more details about Seidel's termination. The White House referred those questions to the VA, but the VA did not get back to us. When we cut back, let him cook. With AI? Pete Wells says America's top chefs are starting to do it.
Starting point is 00:45:44 Cook with AI, I mean. Let him cook. With AI? Pete Wells says America's top chefs are starting to do it. Cook with AI, I mean. ["Spring Day in the City"] Well, Casey, I know you are a big foodie. You're always telling me what restaurants to go to. We went out to dinner this week and you had gotten the clam chowder. I don't know where I'm going with this. That's a classic foodie thing to do, is to get the chowder.
Starting point is 00:46:11 Actually, the most foodie thing about me, Kevin, is that many weeks after the show, we go downstairs and we eat a sandwich from the Subway Corporation, which is known for their exquisite gourmet delicacies. No, but you are a foodie. I know this about you. And so this week, there was an article
Starting point is 00:46:28 in the New York Times that made me think, well, I got to talk about that with Casey. Yes, and I love this story too. It comes from Pete Wells, the great former food critic for the New York Times, who is now a food writer at the paper. And he had a great piece about how some of America's most famous chefs are starting to use AI in their work.
Starting point is 00:46:50 So because this is going to be a segment about AI, let's do our disclosures. I work for the New York Times Company, which is suing open AI and Microsoft. And my boyfriend works for Anthropic. I love this genre of story that we started to see about like how people in a specific occupation or field are using AI. My sort of intuition is that you could do a version of this story for almost every profession, like how people are actually using this stuff, because people are using this stuff and they're
Starting point is 00:47:16 not always talking about how. And so I think it is a valuable service and a valuable journalistic mission to go into various industries and say, Hey, what are you doing with this stuff? Exactly. And look, a lot of our listeners, they're going out to restaurants. And there is now the possibility that you're eating dishes that have been crafted or at least assisted
Starting point is 00:47:35 in their development with AI. And I thought it might be interesting to hear about how that works. You know, I wondered why I was seeing glue pizza on so many menus. Let's bring in Pete Wells. Let's bring him in. Pete Wells, welcome to Heart Fork.
Starting point is 00:47:52 Well, hello. So, how did you get interested in how chefs are using artificial intelligence? Well, there was this curious silence about it. Nobody was talking about it. So I wrote emails to a couple of chefs and right away, one of them wrote back and said, I use it nonstop. It is my favorite kitchen tool, but strangely none of the chefs I'm in touch with
Starting point is 00:48:22 ever mentioned it to me. So he had the impression he was sort of the only one. And so of course I knew he can't be the only one. So I started asking more people and got some pretty interesting responses back. And tell us about this chef that you contacted who said that AI has become his favorite kitchen tool. Oh, sure.
Starting point is 00:48:43 This is Grant Akets, whose famous restaurant is Alinea in Chicago, and he also has Next. And he's just in the fall opened a place called Fire. And he has been using it for all kinds of things. When he was opening Fire, the idea was that everything would be cooked in some way on or over or in flames, you know, or coals or embers and so he asked Jack GPT to sort of like, you know, tell me some unusual cooking fuels
Starting point is 00:49:24 from around the world and where it's used and what it's used for. And it started giving him back things like avocado pits and corn cobs, you know, some of which he knew about, but a lot of them he didn't. You know, of course it also comes back with cow dung, which is a cooking fuel, but not one that you can charge a lot of money for. Yeah, I did that once in my house.
Starting point is 00:49:49 Let's just say that smells never coming out of the upholstery. One of the reasons that this is so interesting, Pete, is Grant Atkins is one of the most famous chefs in America. Alinea, I think is one of its best restaurants. Have you ever eaten at Alinea kind of? No, have you? I have, and it was one of the great meals of my life.
Starting point is 00:50:08 I imagine you've eaten there once or twice. Yeah, I mean, I was writing about Grant before he opened Alinea. So I've been like paying attention to what he does for a really long time. And he is, you know is probably one of the most focused on creativity and inventiveness. One of the chefs is most focused on that of anybody in the world.
Starting point is 00:50:36 Yeah, I think the last dish I had at Alinea was like an edible balloon that they had made. I mean, every dish at Alinea contains some sort of surprise, right? This is not like a steakhouse. Everything there is designed to be original, which is what made it so interesting to me that he is one of the people who is sort of at the vanguard of using AI in his cooking. I could imagine Grant Akut saying, no, no, no, this is the most precious thing to me, are the ideas behind what is in my food. I gonna make sure that's always coming from you know, sort of my own brain
Starting point is 00:51:09 What do you think it is that has made him and some other chefs say? Oh, no, no, no This can actually be an excellent creative partner Well, he has always relied on collaboration When I first met him before he opened Alinea collaboration. When I first met him before he opened Delinia, he had this crew, this like the wrecking crew of these bright, young, ambitious chefs. And every night after service was finished, like 11, 1130, when the kitchen is cleaned down, they would sit around a table and talk about ideas and like, what do you got? What do you got for like, what if we did this? What if we tried that? And that's just always been a huge part of his process. So he's already
Starting point is 00:51:48 like very accustomed to the idea of like, ideas come from within, but they can also come from outside. They can come from traveling some amazing meal that you had in Spain. They can come from a childhood memory of your grandmother, but they could also come from somebody else's childhood memory. They could also come from your sous chef's last trip, you know? And it's not a huge step, at least for him, to start asking the same kinds of questions he would ask his sous chefs to type them into ChatGPT. You know, when your sous chef suggests something, you think about it, it's not going to go straight on the menu anyway.
Starting point is 00:52:31 You're all going to, you know, critique it, discuss it, play around with it, elaborate it, refine it before it gets anywhere near the dining room. So it, you know, it, it, I think made a kind of sense to him. Like, let's get this machine that can suggest crazy stuff sometimes, but we'll also suggest things that might turn out to be good with a, you know, a tweak here and a change there. Let's just bring it into the process.
Starting point is 00:53:02 Now, Pete, you mentioned that you'd found, in addition to Grant Ackett's a bunch of other chefs who were using AI tools in the kitchen. What were some of the ways they were using them and who are these chefs? So there's Ned Baldwin who has a restaurant in Manhattan called Houseman and he sent me a whole bunch of transcripts of his conversations about sausage making and different things you can do to affect the texture of sausage, to make it firmer, to make it, if it's too firm, to make it a little softer. If you want that sort of springy, elastic feeling that you get in like Asian fish balls, which is its own thing. How do you get that? And then from there, like, okay,
Starting point is 00:53:47 I've got my basic like recipe, but now I'd like to change the seasonings. Like what would I do if I were making this in Malaysia? Right, what are the spices I would bring into it? Yeah, I mean, in our culture, chefs are often presented as these figures of towering authority who sort of know how to do anything. You know, if you just sort of toss them a few ingredients, they can make it.
Starting point is 00:54:13 And I think what your story gets at is that actually these chefs have all sorts of questions about how to do things. And if they want to expand their skill set, they don't always know what is the next thing to do. But chatbots are proving to be pretty good at that. And as you point out, those chatbots, they're extremely patient. You can ask them a question at any time of the day. And it sounds like the chefs have been pretty satisfied with the answers that they're getting.
Starting point is 00:54:39 I mean, more than one use the phrase out of the box as kind of what they go to it for, because they know what they know, right? And they know that zucchini and basil go together, right? And there are certain combinations that are just go-tos for chefs over and over. And what they can get out of chat GPT is just something they'd never considered before. Just, and for a chef, that's really valuable
Starting point is 00:55:09 because they're in a high pressure, high volume environment. They're just every night, it's a grind and they've got to get the food out to the tables. And it is, there is not a lot of time to just like sit and think. It's just not, it's not a lot of time to just like, sit and think. It's just not, it's not part of the job. And when you're under pressure,
Starting point is 00:55:30 of course you go to what you know. I know this is gonna work. I've done it before. I'll just do it again. But if you do that too often, you know, you start to seem like you're not thinking anymore. Whatever made you fresh and exciting to the world in the beginning starts to go away if
Starting point is 00:55:53 you just rely on your proven formulas. I think that's so interesting because one of the knocks on these AI tools is that their outputs can be sometimes generic because they're essentially taking the statistical average of whatever data they were trained on. This has always been my hesitation about using AI for cooking. I'm a home cook.
Starting point is 00:56:17 I'm not a very good one, but I do use Chat2BT sometimes to inspire myself. I've just found that it often like recommends the most generic thing possible. It's like, I have these five ingredients, what should I make? And it's like, it's not all that surprising. But maybe I'm just not good enough at prompting the models. Maybe the chefs who are spending serious time with these tools have figured out how to get more creative out of the box ideas out of them.
Starting point is 00:56:42 I think I've started playing around with it just since I started reporting this story. And what I found is, yeah, the first response you get might be, you know, like, yeah, thanks. I could have done that myself. But when you go back to it and say like, no, not that. Can you do better? You start to get interesting responses.
Starting point is 00:57:04 I just Before we got on I was thinking about dinner and I said look I've got a couple fennel bulbs I've got an onion. I've got some garlic olive oil a couple other things can't have sardines What can I do for dinner and it said well, you know pasta with sardines and fennel And I said I and I'm not so into the carbs. Like what can we do that's lower? And then it gave me basically, the same dish without the pasta, right? And I said, hmm, what if we just do a raw fennel? So I get a fennel salad.
Starting point is 00:57:36 I said, oh, that looks interesting. Is there a way to take this in a Turkish direction? And then it started to get really interesting. It was like, yes, you could add some braised zucchini. You could add some fried eggplant. Like the more I went back to it, you know, and I never gets annoyed. Like, hey, that recipe I gave you,
Starting point is 00:57:56 that was a really good recipe. What's your problem, dude? Like it will just keep batting the ball back at you, which is interesting. And like the more specific you can be, the more surprising it will be. Now, Pete, there has been a lot of resistance in creative fields to using AI.
Starting point is 00:58:19 A lot of people in animation or art or music just think like, this is taboo, we shouldn't be allowing these things into our creative process. Do you find anything similar among chefs and people who work in restaurants? Is there sort of a cultural resistance to AI? There's a huge cultural resistance.
Starting point is 00:58:38 Although I think in some of those other fields, like animation in particular, like it has a lot to do with the fact that this thing can do their jobs now. It can do their jobs already. It can't really do what a chef does. Not at the sort of high-end creative level that the restaurants I wrote about are dealing in. You know, it's not there
Starting point is 00:59:06 yet, but there's still a huge resistance just to the idea, to the romantic idea of that all of this stuff comes from the heart of the chef is, you know, this heroic figure standing on a mountain top and like lightning strikes him and that's dinner. That bothers people. People are bothered by what they see as sort of the laziness of it or just all of the famous kind of crap that AI generates. We don't want that crap in our food. It's actually really deep.
Starting point is 00:59:46 I ran into a couple of food writers last night and one of them walked up to me and said, I hate that AI piece. And it was like not, I think not the way I wrote it, but the facts in it. I hate what the reality is that you reported. Well, here's what I would say to that person. What's lazier, using AI to try to come up with a new dish or putting a flourless chocolate cake on your dessert menu? Right. Right. I mean, if what you want is sort of a constant invention, reinvention, constant moving forward.
Starting point is 01:00:25 Those ideas, they can come from anywhere. I have one question that's not actually about AI, but that it's on my mind and I figured this would be a great time to ask the great Pete Wells about it. Please. Okay, Pete, so here's the story. So last night, and if we use this, we should bleep out the name, but I went to-
Starting point is 01:00:40 Okay, wonderful institution. Went there with three folks and, and we did of course order the famous chicken, but there were four of us. We know we're going to need a little something else. And so they had a ribeye on the menu and it costs $90. We said, well, that's a lot of money for a ribeye. But you know what? There's four of us as a special occasion. Let's go nuts. We ordered the ribeye and we order it medium rare because that's the proper temperature that you should order any piece of meat in my opinion. So the ribeye and we order it medium rare because that's the proper temperature that you should order any piece of meat in my opinion. So the-
Starting point is 01:01:07 No, you're right. This is factual. Okay, thank you. You heard it here. You heard it here first. So the ribeye arrives and we get into it and it's rare. It is not medium rare, it is rare. And so, you hate to be those people.
Starting point is 01:01:22 I never feel worse in my life than when I have to like ask somebody in the service industry for help in this way. But we keep looking at each other. We're like, we did pay $90 for this, and it feels like it should come at the temperature we ordered. So we say, it's kind of rare. OK, well, we'll put it back on the grill. So here are my questions for you, Pete.
Starting point is 01:01:39 Number one, there was some controversy on my table, because one person was surprised that they just grilled the piece of meat again, because by this point we've sort of hacked off half of it and they sort of take away that piece of meat rather than bringing us a new one. So question one is, is that sort of the common way that this is addressed?
Starting point is 01:01:55 And then number two is, is any sort of like extra warranted in this, is this a situation where the restaurant should throw in a free dessert or like do sort of something nice? Or is that just a, hey, these things happen in the kitchen sometime, we're gonna grill your damn steak a little warmer,
Starting point is 01:02:13 get over yourselves. Your thoughts. I didn't understand the first part of the question. They took some of the steak back, but not the entire steak? Well, yeah, cause we, you know, we kind of like hacked off a few pieces. He's asking whether they should have given him and his friends a whole new ribeye.
Starting point is 01:02:28 That's right. Ooh, I mean, that's a lot of, I mean, that's a lot of money for the restaurant, but it's a lot of money for you. It's typical, especially with something like that, to just take the uneaten part and send it back to the kitchen. I don't believe I've ever seen a whole new steak
Starting point is 01:02:44 come out of the kitchen. That's what I thought for what it's worth. Yeah believe I've ever seen a whole new steak come out of the kitchen. I've been to a lot of- That's what I thought for what it's worth. Yeah, I've been to a lot of steak houses. And then, you know, as far as, you know, doing something extra, I mean, no, they're not obligated to, they are, I think, kind of obligated to get it right.
Starting point is 01:02:59 Yes. Right? This is what we ordered and it's not what we ordered. And especially with something like that where like, I mean, it didn't ruin your night to have a couple of bites of rare steak, right? So I don't think, I wouldn't call that a traumatic experience. When it gets into trauma, you know, like, like, you know. You and your friends get over it.
Starting point is 01:03:20 That's great. Listen, this is exactly what I wanted. I wanted my my expectations to be managed by a professional and now they've been managed. Right. I mean, like where I think you start to need, or if you're a certain kind of restaurant and you really want to go over and above where you kind of need to send something out to the table or do something extra or knock something off the check
Starting point is 01:03:41 is where they've kind of suffered a little bit. They waited 30 minutes, right? They waited 30 minutes for their steak or somebody spilled wine. Okay. So in your view, something pretty major has to happen to get into the free dessert territory. Yeah. You have to, I think, become sort of unhappy, right? And it doesn't sound like you got there. I will say, I didn't feel wronged, but I will say that, and you know,
Starting point is 01:04:06 not that we needed some like grand apology or anything, but I was sort of expecting somebody would be like, oh, we're sorry about that, let us take care of that. You know, just like a sort of like real quick thing that didn't really arrive. And so that was just sort of curious to me, I don't know. Yeah, that's definitely a service issue because you would hope your server would say,
Starting point is 01:04:23 oh, I'm so sorry, it's not the way you'd like it. Even if they don't admit wrongdoing. They don't have to say, oh my God, well, I can't believe that, like, Shep, I don't know what's going on back there. Like, but just to say, you know, I'm sorry, it's not what you were hoping for. Let me take care of that.
Starting point is 01:04:41 I felt like we were getting the looks like, oh, here we go with these people. You know, it was one of the, it's like, oh, it's one of these kind of that. I felt like we were getting the looks like I'm like, oh here we go with these people You know, it was one of the it's like oh, it's one of these kind of tables. Yeah, they've got opinions about the meat temperature Yeah now in my experience like that sort of very fine-tuned sense of hospitality of like I'll apologize even if I don't think the restaurants in the wrong. I'll apologize because it'll make them feel better That is sort of what separates 95, 6, 7% of the restaurants from the really, really good, careful ones.
Starting point is 01:05:14 There you go. So that's like a rare experience and you're lucky if you get it. Yeah. No, the rare experience I had was that the steak was too rare. Yeah, you were hoping for more of a medium rare experience. Yeah, exactly. Let's just say it wasn't well done. Pete, thank you so much for coming. Thank you, Pete. Great to have you.
Starting point is 01:05:28 Appreciate it. Thank you. This has been so much fun. I'm glad you thought to call me up. Yeah. We'd love to have you back. Yeah. We'd love to have you back. Hard Fork is produced by Whitney Jones and Rachel Cote.
Starting point is 01:06:02 We're edited this week by Matt Collette. We're fact checked by Ana Alvarado and Will Peichel. Today's show was engineered by Chris Wood. Original music by Mary and Lozano, Sophia Landman, Rowan Nemesto, and Dan Powell. Our executive producer is Jen Poyant. Video production by Soya Roquet, Pat Gunther, and Chris Schott. You can watch this whole episode on YouTube
Starting point is 01:06:25 at youtube.com slash hardfork. Special thanks to Paula Schumann, Huy Wing Tam, Dalia Haddad, and Jeffrey Miranda. You can email us at hardfork at nytimes.com. Thank you.

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