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This transcript was created using speech recognition software. While it has been reviewed by human transcribers, it may contain errors. Please review the episode audio before quoting from this transcript and email transcripts@nytimes.com with any questions.
Well, Casey, I donāt 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?
Itās true. Today, I am 38 or as they call it in Silicon Valley, a senior citizen.
[LAUGHS]: And what is it like to be entering your sunset years? Do you have enough put away for retirement yet?
[LAUGHS]: I have actually been rebalancing my 401(k), 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, why not ask the chatbots if they have any good ideas. So I just said, hey, my friend is obsessed with AI. 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, āWhat To Do After AGI,ā and then you would open it and it was just a blank notebook. I thought, thatās actually pretty good.
Thatās pretty good. So did you do that for me?
No, it was very expensive. Very expensive. I thought, no, thanks.
OK, well, itās the thought that counts.
Well, the nice thing about a podcast is you can just say it. Itās as if it were real, you know what I mean?
So pretend youāre handing it to me.
Here, 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.
All right.
[THEME MUSIC] Iām Kevin Roose, a tech columnist at āThe New York Times.ā
Iām Casey Newton from Platformer.
And this is āHard Fork.ā
This week on the show, Elon and Trumpās feud goes nuclear. What does it mean for them and for America? Then entrepreneur Sahil Lavingia joins us to discuss his time at DOGE and why it came to an abrupt end. And finally, āThe Timesāā Pete Wells is here to explain what some of Americaās 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.
Thatās right, Kevin. Weāre having a broligarchy blow up of the highest order.
So for many months now, there has been speculation about if and when President Trump and Elon 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, itās very real. So we are recording this on Thursday, June 5, around 5:00 PM Eastern time. So by the time you hear this, things may have changed. Itās all happening very quickly.
But, Casey, let me set the scene for you. Iām in a meeting. Iām doing an interview. Iām 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 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. And earlier in the week, he called it, quote, āa disgusting abomination.ā
Yes, so heās 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, letās mention a couple of specifics about the bill, though, Kevin, because it is the best evidence we have for what might be driving Elon to be so angry. So one thing is that this bill would eliminate 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. 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 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 Trumpās presidency, but also the Republican congressional majorities that that party currently enjoys. So I saw him claiming credit for that stuff, and I thought, oh, man, Trump is not going to 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, āwearing thin,ā and so he had asked him to leave the administration, which I think was pretty well-known. Later, though, he escalated things by saying, quote, āThe easiest way to save money in our budget, billions and billions of dollars, is to terminate Elonās governmental subsidies and contracts. I was always surprised that Biden didnāt do it.ā
Right. And then Musk fired back, talking about how Trump is mentioned in the Epstein files, and thatās why they have not been released. Heās 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 donāt forget, Kevin, he also quote tweeted a right-wing influencer who had asked, 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, OK, this is not two guys playing drama for the media. Theyāre actually real mad at each other.
Yes, this is a big fight. And it has got a lot of people talking. But while we wait for the dust to settle here, I donāt 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 between Donald Trump and Elon Musk means for Elon Musk? Letās 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 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 donāt have the time to get into today. But thereās 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 percent. 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 want to say that Elizabeth Lopatto noted this in āThe Verge.ā But she reminded me that āThe Washington Postā had reported that Musk began his career in the United States by working here illegally. And Elizabeth is wondering, could this actually complicate his naturalization? Would Trump actually go after Musk and try to strip him of his citizenship? Letās just say, if that happened, it wouldnāt 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. But allies of the president are actually calling for this now. In fact, just recently, a āTimesā reporter, my colleague Tyler Pager, says that Steve Bannon, the former Trump advisor, was calling for President Trump to not only cancel all of Muskās contracts, but to initiate a formal investigation of his immigration status and maybe deport him.
So I donāt 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 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 Teslaās stock slide continues, but also because of things like government contracts for SpaceX.
This is a man who has billions of dollars in exposure to government contracts. If some or all of those contracts are canceled by President 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. And 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 goes to the Republicans and says, hey you know what? Go ahead and let that subpoena take place.
So there are a lot of legal risks here. And I would just say that often in cases where authoritarians take power, itās the billionaires in the country that think, I know how I can make me safe, Iām going to cozy up to this person. And then they find that when something goes wrong, theyāre 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 Trumpās heat shield. He went out, he did a bunch of really unpopular things. And he largely took the blame for it. He took the blame for DOGE dismantling wide swaths of the federal government.
Now, Musk is gone. And so there isnāt 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 thatās going to be lost is how useful these two men were to each other 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 doesnāt end up sort of mending the feud here. If these guys get all of their rage out on each other and then decide, well, if Iām Elon, I donāt really have anywhere else to go. I have burned my bridges with Democrats and on the left.
And the Republican Party now belongs to President Trump. And so I think if youāre him, you just may decide to stay out of politics altogether. But if you want to stay involved, youāre kind of politically homeless if youāre Elon Musk. And so maybe you do end up wanting to come back to Trump at some point. But itās too soon to say, I think.
And in the meantime, heās promising to create a third political party that will represent 80 percent of all Americans. And letās just say, Iām 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 Iām curious what you think this breakup will mean for people like, for example, David Sacks, who is the presidentās advisor on AI policy and crypto, and a longtime ally of Elon Muskās. 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 presidentās camp?
Well, Kevin, have you ever been in a situation where two of your friends broke up with each other and then you had to choose which one you were still going to be friends with?
Yes, the friend divorce.
Yes. Well, so thereās about to be a major friend divorce in Washington, DC. And weāre going to have to see who sides with who. 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 Sackses of the world 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 worldās 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 donāt 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?
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. āWither Big Balls,ā might be another way to put it, Kevin.
Big Balls, of course.
As Big Balls goes ā
So goes the nation.
Yeah. Big Balls, of course, one of the most famous employees of DOGE. And you can look up his accomplishments online.
So hereās 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 are considered to be Elon people, Elon loyalists, Iām 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, 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. People were saying, oh, this will be short-lived. Thereās no way these two can coexist. Neither one of them is good at sharing the spotlight. This is going to 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. But I donāt know. Casey, are you surprised by what youāve seen over the past couple hours?
Not really. I wrote a year-end predictions post. One of those predictions was that the broligarchy would blow up. I am far from alone in making that prediction.
I think maybe even 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. Typically, when they donāt 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, Elon has a lot of good reasons to make people like me believe that he is mad at Trump and heās creating this distance between himself and Washington. Maybe that makes it a little easier for him to sell Teslas 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 in, this was the moment where I was like, OK, 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 put on their Tesla to indicate that theyāre not on board with Elon Muskās political agenda here. Iām 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 of 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.
Well, Kevin, Iām 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 didnāt talk about, itās probably because it was posted after 5:11 PM Eastern time on Thursday.
[LAUGHING]:
[UPBEAT ELECTRONIC MUSIC]
When we come back, his DOGE days are over. Sahil Lavingia 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 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. Heās a veteran startup worker. He worked at Pinterest.
He then started a company called Gumroad, which is 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. 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 itās like up close.
Letās bring him in.
[PENSIVE MUSIC]
Sahil Lavingia, welcome to āHard Fork.ā
Thanks for having me.
So, Sahil 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. What made you interested in stepping away and moving to Washington, DC to work for the federal government?
Yeah, Iāve always wanted to work for the federal government. I think itās such a cool opportunity. I mean, as a software engineer, which is my background, product designer, I think itās 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 private businesses were responsible for were little jewel boxes on Mission Street. Everything else was like powered by public infrastructure. And so eventually, if youāre competent software engineer and you want to really have a maximized impact on the world, the Steve Jobs sort of dent in the universe, youād have to go work for the government eventually.
I can imagine that the past few administrations might have been happy to accept your help. Why was this the moment that you wanted to step in?
Yeah, I mean, I actually applied for it 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, itās very startup-y, which is not exactly the Venn diagram overlap of skill sets with what you may need in the federal government, like the largest company on earth.
So I did apply and I never heard back. And when this DOGE thing started to happen, I felt like, 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? Did they do any kind of ideological or political filtering? Did they ask you, what do you think about foreign aid or USAID or anything like that?
I was asked, did I vote for Kamala Harris, for example. And basically, if you voted for Kamala Harris, you shouldnāt waste your time here. Youāre not going to get through whatever the process ends up looking like.
This is preinauguration. So preinauguration, this kind of has to flow through the Trump transition team. And I said, look, I actually didnāt vote for Kamala. I didnāt vote for Trump either, so if they need that, then itās not going to really work out.
But anyway, yeah, they asked these sorts of questions. I think my guess is this kind of came from Trump and that side. DOGE, I donāt think cared too much.
So they approve your application. Then what happens? You just get assigned a role?
Yeah. I mean, itās interesting. I mean, I feel like I never even got sort of an approval. It wasnāt like, congratulations or hereās your offer letter, hereās your salary, hereās your boss, hereās your department, that sort of stuff.
Basically what happened was I passed, I guess, to some degree. And eventually, they said, hey, we have a role for you at the VA, at VA, as a software engineer. You should go talk to this sort of DOGE team lead at the VA. And if that seems like something youād want to do, let us know. And so thatās kind of what happened.
And I talked to them. And eventually, they said, if youāre interested, you have to get fingerprinted here in DC. And so itās this chicken and egg thing, where itās like, youāre not going to get any information until you move to DC. And once you move to DC, youāre here.
So I never actually, I mean, even today, I still donāt know what my salary was. I assume itās $0. 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 Iām not violating some minimum wage law.
Wait, you didnāt talk about your salary before you agreed to take this job?
Iām a phenomenal negotiator.
Yeah, thatās strange.
I didnāt know. I mean, Iāll tell you the facts I knew. So I knew that I was supposed to show up 7:45 AM at VA, the VACO, sort of ā Veterans Affairs Central Office in DC ā on March 17. And actually, thatās all I knew.
So yeah, I didnāt know who my boss was. I think I learned like the third day or something. I didnāt know my role.
It doesnāt say your role on your badge. I basically got my PIV card and I got a government laptop, which they call GFE, Government-Furnished Equipment. And then the DOGE people there walked me through what I was supposed to be doing, what they were working on.
And I was there to offer my technical expertise. Though the laptop I got, for example, I couldnāt run Python on it. I couldnāt run Git. I couldnāt download anything. And so I had to work through this exercise of being able to cook without any equipment.
I want to ask you a little bit about the orientation. You mentioned that some of the folks at DOGE explained to you what they were working on. You were there, presumably, to serve the veterans of the United States.
Did you have discussions with DOGE about, this is who we serve, this is what they need, this is how we want to make things better for them. Or was it more focused on cutting costs and that sort of thing?
Yeah, the DOGE conversations were around cutting costs. I think thereās the Venn diagram overlap of, at the end of the day, Iām an employee, at least thatās what my badge said, Iām an employee for VA. You go through the VA-specific onboarding. Thereās no DOGE-specific onboarding.
You get a VA laptop. I have the āI careā little memorandum on my backpack now. And so I was always like, this has to meet the filter of what the VA wants. Nothingās going to happen if the VA doesnāt want it. And so it kind of has to meet two criteria for something to be interesting. You have to save money and make the veteran experience better or at least not make it worse. But it wasnāt an explicit conversation of like, OK, how do we actually ship software to make veteran experience better?
I had a lot of those conversations, because I was interested in doing that. So I just would meet with the Office of the CTO, which actually was pretty well-developed at VA, because the USDS, the OG, had kind of built a coalition there. They use GitHub, they have Slack, that sort of stuff.
Thatās 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 once you start looking under the hood inside these government agencies, you find all kinds of waste and fraud and abuse and skeletons in the closet. And basically what you youāre saying is that you were surprised by how well the VA worked. Am I hearing that?
I was. Yes, I was surprised by how effective the government is. At the end of the day, though, youāre defining effectiveness by what youāre 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 the worst PM youāve ever met. And youāre asked to build an app with all these weird specifications.
Youāre doing a job, but youāre kind of like playing āTwisterā as an organization to 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 why is this contract $40 million to process claims or something? And I would leave being like, oh, I get it. Actually, itās pretty impressive.
You wrote in that post about this DOGE all-hands meeting where Elon Musk was taking questions, that one of the things he was asking the DOGE employees for was ideas about how to improve the public perception of DOGE, which I imagine at this point was getting 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 were interested in solving actual problems? Or were they just concerned about the appearance of productivity and efficiency?
I think, I mean, maybe Iām naively optimistic. But I think there was truly like a desire to solve problems, because thatās how you save money at the end of the day, is you solve problems, kill two birds with one stone, that sort of thing. Thatās what software can do.
I think my guess is that, for example, at the meeting, I suggested, we should live-stream this meeting. I think this would help. If people saw how the sausage was made and we werenāt scheming on how to kill a bunch of African children, I think it would help the brand image.
And he embraced the idea. I mean, he was like, this sounds awesome. We should do it next week. Letās do it next week. Weāll 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 didnāt get the invite.
Did it happen? I didnāt hear about it on Twitter. Like, whatās 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 wasnāt. I think people realized pretty quickly, this was not going to be this sort of walk in the park. And letās just focus on what we can do, which turned out to be cutting contracts. But at the end of the day, a bunch of software engineers is 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 public-spirited, want to see if they can make a contribution, parachute in their 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?
Yeah, so one of the Trump EOs is that the DOGE team gets to sit in on a lot of contracting meetings. And so we helped them review as many contracts as they could. And then beyond that, itās just like lending my technical expertise.
Itās just basically sitting in on a meeting where someone will say, weāre like paying $4 million for this chatbot on VA gov. And Iām like, well, that would take me like a week to build and integrate. And could you explain why that costs so much more money?
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. Itās like, youāre paying a lot of money for things without the domain expertise to understand how much it should cost.
So I was like the, hopefully, somewhat the ācredible expert,ā quote unquote, who would come in and talk to Booz or Deloitte and just be like, hey, do you guys use Cursor? What are the efficiency gains? Could you pass them on to us? Could you shave like 25 percent off the bill? That sort of thing.
At the end of the day, we didnāt have any true ā I think a lot of people think DOGE had a lot of power to fire. And at least from my perspective at VA, we did not like. The EOs donāt give us that power. Unless VA is willing to give us the keys, we canāt drive the car. But we could sit in meetings and we could kind of be annoying and just ask questions.
I mean, I wanted to ask you about these meetings, because I think thereās this popular image that at least was going around during the early days of DOGE that DOGE was just this group of kids in hoodies, who would barge into these meetings with very experienced civil servants and demand to know what they were working on, and would just run in and rip things up, and that it offended a lot of the career employees of the agencies where they were stationed. Was that what you witnessed? 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 jacket, a little bit of an upgrade.
But yeah, I mean, I think that Iām sure to some degree that was happening, frankly. I donāt think these stories are made up, generally. I think they come from truth.
And there was generally this vibe of, theyāre not going to help us or theyāre kind of going to give us the wrong information and cause us to go down this path, which I think is probably common in a transition period. I think every set of transitions, you have a bunch of political appointees that come in. And you have a new boss that doesnāt really know what theyāre doing. Everyoneās had that manager that doesnāt really understand, why is someone taking so long? That sort of thing. But I donāt think it was like as much like this idea of this āOffice Spaceā interview process. Even the RIF, I learned ā
RIF is a Reduction In Force, a.k.a. layoffs.
Exactly, the reduction in force, the Workforce Optimization Initiative 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. Itās not about actually firing anyone.
And specifically for that EO, it gives Doge zero power to fire anyone. So this idea of these āOffice Spaceā conversations where youāre asking, so what are you doing here? Thereās no point in that.
I was, however, I will say, I was on the older side of the engineers. Of people who were like identified as software engineers, I think there were maybe two or three people who were like above the age of 30. And most people were relatively young, had probably not worked a ton in private companies. And itās just different, too. I think the culture, thereās this culture clash, lost in translation thing.
Are there any anecdotes or stories from your time at DOGE that would help illustrate the culture clash?
I would swear. And I remember someone telling me something like, that will get you fired. Itās just interesting. The rules and regulations that exist, that sort of defined conduct, thereās just a lot of those things. Even the DRP, the DRP massively did not work.
Whatās the DRP?
The DRP, the Deferred Resignation Program, the āfork in the roadā emails.
I see.
From someone who works in the private industry, you get eight months of severance, thatās a lot and thatās pretty good. But the numbers of people who took it was drastically low. And I think thereās just this cultural disconnect of like, why are you here?
Well, youāre here to work for the government for life. So an extra eight months, it doesnāt compute. Youāre on a completely different career path. Itās not like youāre just going to exit the government and then go work at X. Thereās completely different ways of thinking about how you want to live your entire life.
It took time for me at least to understand that these people love their jobs. And I think thatās a lot of the disconnect culturally, is like inefficiency versus efficiency. Itās like, everyone sounds the same, like looks the same, dresses the same. But the way they make decisions then manifests very, very, very differently.
What was making you swear so much, Sahil?
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 wasnāt an anger, it wasnāt at anybody. But just like, why the fuck is this so weird? Itās just like this kind of surprised emotion that I canāt really help but express in that way.
I canāt believe you just swore on our podcast.
I know, please cut that out.
Youāre fired. Get out of here. Donāt let the door hit you.
Iāll give you one example, a little bit of a culture, like sarcasm. Sarcasm just doesnāt exist in the government workplace for some of these reasons. Where Iād come in and theyād be like, what are you here for? Iām like, Iām here to RIF everybody. And itās like, dead.
Wait, you thought that was going to go over well? You got to read the room, dude.
I know. Thatās part of the culture. Iām not very good at reading ā Iām good at writing code, not reading rooms. It tends to be a different set of skills.
Yeah, I can see how that one didnāt go over well. Hey, Iām new here. Iām going to lay you all off. Ah!
[LAUGHS]: So maybe the story was about me.
Maybe workshop that one next time.
Yeah, letās work on that.
Iām curious. I think a lot of people, Sahil, will be listening to this and thinking, this guy sounds really naive. He hears about this DOGE thing. I think a lot of people, especially on the left, think that DOGE is 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 in what these agencies are doing. And they will say, Sahil should have known better than to expect that he was going to go in and actually be valued for his expertise in coding. He did not know that he was signing up for ā or he should have known that he was signing up for something very different than that. What is your response to that?
Of course, āThe New York Timesā would say that.
[LAUGHS]: Get his ass.
No, I mean, look, at the end of the day, itās like when I joined Pinterest and people were like, you know that startupās not going to work. And itās just like, statistically, no, but maybe yes. And if itās the maybe has an outsized impact, then the math ends up working. And thatās what I felt.
I felt like, look, I think all startup people are naive. I think thatās part of what makes a startup people is that weāre not willing to just listen to the traditional, this is why we donāt do that. Or itās just like, no, weāre not going to do that thing and then you learn the hard way.
But also every once in a while, you get an iPhone or you get AI or something like that. But yeah, if people are like, hey, you failed. Iād be like, yeah, thatās what happens. Lots of things are a waste of time. And I have time, so Iām going to try.
Letās just close the loop, Sahil, on why you were let go from the government. You suggested in your blog post that your leading theory for why you were RIFed, as you put it, is because you talked to a journalist at āFast Company.ā Is that still your understanding of why you were let go?
Yeah, I never heard anything from them. All I heard was, did you run this by anyone at DOGE? I said, no, I did not run it by anybody.
And then a day later, my access, I just got an email from GitHub, basically, that was just like, youāre no longer a member of the VA on GitHub. And I was like, oh, [MUTES SELF]:, what happened? And turned out I was RIFed.
But yeah, thatās all Iāve heard. Iāve never heard from anyone affiliated with DOGE since then on anything Iāve done. That they just kind of ghosted me.
That seems very sudden as a way to get laid off 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 wasnāt going crazy. I felt like I was misreading the room. And I was just like, clearly, we have a good goal. Why do we keep making these kind of mistakes? Why are we so unempathetic?
And when I just got ghosted, right just disappeared, my access just stopped working, no response, honestly, it made me feel good in a way that I wasnāt the problem here. Itās just that this is just the culture of this weird entity. Thereās this emergent behavior of lack 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 this sense of ā my wife was right. This was not exactly the best use of my time. Unfortunately, dear. The only way to learn that was ā the FOMO was real at the end of the day.
Itās a powerful reminder that I think a lot of other Silicon Valley CEOs could learn, which is, listen to your wife. Sheās on to something.
I think itās helpful. I think it is. And now she tells me something, Iām like, my default is yes.
Well, if DOGE has done one good thing, itās made your marriage more harmonious. So congratulations.
Thank you.
Iām 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 and bureaucracy, is the idea that efficiency is the ultimate good. That if you have a system that is slow-moving and has friction involved in it, and itās using outdated Tech, 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. Part of the reason that things in government take longer than they do in the private sector is because governments are not businesses. They have to account for real 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 peopleās lives. And Iām curious if you still think this sort of Silicon Valley attitude is needed in Washington, if that is something that the federal government should have more of? Or if you are coming to the view that maybe these are just two different agendas?
I do think thereās a synthesis here, which is I think if you define the goals accurately, then efficiency is better. If youāre 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 lost in translation thing is, Silicon Valley doesnāt serve every person. But if the government has a program, itās going to have to serve everybody. So I think efficiency is still a good. I think itās just really important to understand what are the constraints.
I personally think the better word would be like āmodernizationā or āsimplification.ā āEfficiency,ā I think, has now just such a loaded connotation to it. Itās just like caught, get rid of, things like that.
But I do think simplifying things, taking two systems ā I think what tends to happen is the government just stacks things on top of things that exist. It doesnāt often refactor code and combine systems.
Thereās a lot of agencies. Each agency has spun up to do a new thing. And I do think it would be good to simplify every once in a while and say, hey, these three things that came up in three different eras, we could now sort of merge.
Iām 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 bring in a bunch of people who donāt have the relative expertise, ask them to get a ton done in a hurry, and apply this kind of āready, fire, aimā 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 weāve sort of disabled vast swaths of the federal government to no 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, itās unfortunate. I donāt regret my time there, because I didnāt work on those specific projects. And I think I had a positive impact. Itās like, do you throw the baby out with the bathwater? Hopefully, I was more the baby.
But yeah, itās unfortunate. As another DOGE engineer said, mistakes were made. I donāt 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 a Trump administration. Thatās who Americans voted for. Some Americans are very happy with whatās happened and would like more of it to happen. And we live in a democracy.
And Iām just not an opt-out type of person. Iām only on Earth for a short amount of time. I canāt wait for some person or some party that I really agree with. And Iām only going to work there if I really 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 or that they were blocked. There are a lot of things that prevent this āready, aim, fire.ā 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, itās kind of confirmation. Itās like, I am who I am. Iām not going to change. I really believe in using software to make the world better.
Well, I think thatās a good place to end. Sahil, thank you so much for coming. And welcome back to civilian life.
Thank you. Itās great.
Thanks, Sahil. [INQUISITIVE MUSIC]
After our interview, we reached out to the White House for comment on Sahil Lavingiaās 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 theyāre being vetted for political appointments, like roles at DOGE. And the DOGE employees understood their general responsibilities to cut waste. We also asked for some more details about Sahilās termination. The White House referred those questions to the VA, but the VA did not get back to us.
When we come back, let them cook. With AI? Pete Wells says Americaās top chefs are starting to do it. Cook with AI, I mean.
[PENSIVE MUSIC]
Well, Casey, I know you are a big foodie. Youāre always telling me what restaurants to go to. We went out to dinner this week. And you had gotten the clam chowder. I donāt know where Iām going with this.
Thatās a classic foodie thing to do, is to get the chow ā 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 in āThe New York Times,ā that made me think, well, I got to talk about that with Casey.
Yes. And I loved this story, too. It comes from Pete Wells, the great former food critic for āThe New York Times,ā who is now a food writer at the paper. And he had a great piece about how some of Americaās most famous chefs are starting to use AI in their work.
So because this is going to be a segment about AI, letās do our disclosures. I work for āThe New York Timesā company, which is suing OpenAI and Microsoft.
And my boyfriend works for Anthropic.
I love this genre of story that weāve started to see about how people in a specific occupation or field are using AI. My intuition is that you could do a version of this story for almost every profession, how people are actually using this stuff, because people are using this stuff and theyāre 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, theyāre going out to restaurants. And there is now the possibility that youāre eating dishes that have been crafted or at least assisted in their development with AI. And I thought it might be interesting to hear about how that works.
I wondered why I was seeing glue pizza on so many menus. Letās bring in Pete Wells.
Letās bring him in.
[UPBEAT ELECTRONIC MUSIC]
Pete Wells, welcome to āHard Fork.ā
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 Iām in touch with ever mention it to me. So he had the impression he was the only one. And so, of course, I knew, he canāt be the only one. But 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. This is Grant Achatz, whose famous restaurant is Alinea in Chicago, and he also has Next, and heās 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 or coals or embers. And so he asked ChatGPT to tell me some unusual cooking fuels from around the world, and where itās used and what itās used for.
And it started giving him back things like avocado pits and corn cobs. Some of which he knew about, but a lot of them he didnāt. 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. And letās just say, that smellās never coming out of the upholstery.
Yeah. [LAUGHS]
One of the reasons that this is so interesting, Pete, is Grant Achatz is one of the most famous chefs in America. Alinea, I think, is one of its best restaurants. Have you ever eaten at Alinea, Kevin?
No Have you?
I have. And itās one of the great meals of my life. I imagine youāve eaten there once or twice.
Yeah, yeah. I mean, I was writing about Grant before he opened Alinea. So Iāve been paying attention to what he does for a really long time. And he is probably one of the most focused on creativity and inventiveness, one of the chefs who is most focused on that of anybody in the world.
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. 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 Achatz saying, no, no, no, this is the most precious thing to me are the ideas behind what is in my food. Iām going to make sure thatās always coming from my own brain. 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, he had this crew, the wrecking crew of these bright, young, ambitious chefs. And every night after service was finished, like 11:00, 11:30 when the kitchen is cleaned down, they would sit around a table and talk about ideas.
And what do you got? What do you got for? Well, what if we did this? What if we tried that? And thatās just always been a huge part of his process.
So heās already very accustomed to the idea of 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 can also come from somebody elseās childhood memory. They could also come from your sous chefs last trip. And itās 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.
When your sous chef suggests something, you think about it. Itās not going to go straight on the menu anyway. Youāre all going to critique it, discuss it, play around with it, elaborate it, refine it before it gets anywhere near the dining room.
So it, I think, made a kind of sense to him. Letās get this machine that can suggest crazy stuff sometimes, but will also suggest things that might turn out to be good with a tweak here and a change there. Letās just bring it into the process.
Now, Pete, you mentioned that youād found, in addition to Grant Achatz, 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 thereās 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, if itās too firm, to make it a little softer. If you want that sort of springy, elastic feeling that you get in Asian fishballs, which is its own thing, how do you get that?
And then from there, OK, Iāve got my basic recipe, but now Iād like to change the seasonings. What would I do if I were making this in Malaysia? 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 know how to do anything. If you just toss them a few ingredients, they can make it. 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 donāt 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, theyāre 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 theyāre getting.
I mean, more than one used the phrase, āout of the box,ā as kind of what they go to it for, because they know what they know. And they know that zucchini and basil go together. And there are certain combinations that are just go-tos for chefs over and over.
And what they can get out of ChatGPT is just something theyāve never considered before. And for a chef, thatās really valuable, because theyāre in a high-pressure, high-volume environment. Theyāre just every night, itās a grind. And theyāve got to get the food out to the tables.
There is not a lot of time to just sit and think. Itās just not part of the job. And when youāre under pressure, of course, you go to what you know. I know this is going to work.
Iāve done it before, Iāll just do it again. But if you do that too often, you start to seem like youāre not thinking anymore. Whatever made you fresh and exciting to the world in the beginning starts to go away if you just rely on your proven formulas.
I think thatās so interesting, because one of the knocks on these AI tools is that their outputs can be sometimes generic, because theyāre essentially taking the statistical average of whatever data they were trained on. And this has always been my hesitation about using AI for cooking. Iām a home cook. Iām not a very good one, but I do use ChatGPT sometimes to inspire myself.
And Iāve just found that it often recommends the most generic thing possible. Itās like, oh, I have these five ingredients, what should I make? And itās not all that surprising. But maybe Iām 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, āout of the boxā ideas out of them.
Iāve 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 like, yeah, thanks. I could done that myself. But when you go back to it and say, no, not that, can you do better? You start to get interesting responses.
I just before we got on, I was thinking about dinner. And I said, look, Iāve got a couple fennel bulbs, Iāve got an onion, Iāve got some garlic, olive oil, a couple other things, a can of sardines. What can I do for dinner?
And it said, well, pasta with sardines and fennel. And I said, Iām not so into the carbs. What can we do thatās lower? And then it gave me basically the same dish without the pasta. And I said, what if we just do a raw fennel?
So I get a fennel salad. And 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. The more I went back to it ā and I never gets annoyed. Like, hey, that recipe I gave you, that was a really good recipe. Whatās your problem, dude? It will just keep batting the ball back at you, which is interesting. And 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. A lot of people in animation or art or music just think, this is taboo. We shouldnāt be allowing these things into our creative process. Did you find anything similar among chefs and people who work in restaurants? Is there sort of a cultural resistance to AI?
Thereās a huge cultural resistance. Although, I think in some of those other fields, like animation in particular, it has a lot to do with the fact that this thing can do their jobs now. It can do their jobs already. It canāt really do what a chef does, not at the high-end creative level that the restaurants I wrote about are dealing in. Itās not there yet.
But thereās still a huge resistance just to the idea, to the romantic idea that all of this stuff comes from the heart of the chef, whoās this heroic figure standing on a mountaintop, and lightning strikes him and thatās dinner. That bothers people.
People are bothered by what they see as the laziness of it or just all of the famous crap that AI generates. Like, we donāt want that crap in our food. Itās actually really deep.
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 I think not the way I wrote it, but the facts in it. I hate what the reality is that you reported.
Well, hereās what I would say to that person. Whatās 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, yeah, if what you want is a constant invention, reinvention, constant moving forward, those ideas, they can come from anywhere.
I have one question thatās not actually about AI, but that itās on my mind. And I figured this would be a great time to ask the great Pete Wells about it.
Please.
OK, Pete, so hereās the story. So last night, if we use this, we should bleep out the name. But I went to ā
ā a wonderful institution, went there with three folks.
And we did, of course, ordered the famous chicken. But there were four of us, so we know weāre going to need a little something else. And so they had a ribeye on the menu, and it cost $90. We said, well, thatās a lot of money for a ribeye. But you know what? Thereās four of us. Itās a special occasion. Letās go nuts.
We ordered the ribeye. And we order it medium rare, because thatās the proper temperature that you should order any piece of meat, in my opinion.
No, youāre right. This is factual.
OK, thank you.
You heard it here.
You heard it here first. So the ribeye arrives. And we get into it, and itās rare. It is not medium rare. It is rare.
And so you hate to be those people. I never feel worse in my life than when I have to ask somebody in the service industry for help in this way. But we keep looking at each other, weāre like, we did pay $90 for this. And it feels like it should come at the temperature we ordered.
So we say, itās kind of rare. OK, weāll put it back on the grill. OK. So here are my questions for you, Pete.
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 sort of hacked off half of it. And they take away that piece of meat, rather than bringing us a new one.
So question one is, is that the common way that this is addressed? And then number two is, is any sort of extra warranted in this? Is this a situation where the restaurant should throw in a free dessert or do something nice or is that just a, hey, these things happen in the kitchen sometime, weāre going to grill your damn steak a little warmer, get over yourselves? Your thoughts.
Well, yeah, I didnāt understand the first part of the question. They took some of the steak back, but not the entire steak?
Well, yeah, because weād kind of hacked off a few pieces.
Heās asking whether they should have given him and his friends a whole new ribeye.
Thatās right.
Ooh. I mean, thatās a lot of ā I mean, thatās a lot of money for the restaurant, but itās a lot of money for you. Itās typical, especially with something like that, to just take the uneaten part and send it back to the kitchen. I donāt believe Iāve ever seen a whole new steak come out of the kitchen.
Thatās what I thought, for what itās worth.
Yeah, Iāve been to a lot of steakhouses.
Iām on your side.
And then as far as doing something extra, I mean, no, theyāre not obligated. They are, I think, obligated to get it right.
Yes.
Right? This is what we ordered and itās not what we ordered. And especially with something like that, where I mean, did it ruin your night to have a couple bites of rare steak?
No.
So I wouldnāt call that a traumatic experience. When it gets into trauma ā
Wow, Casey, Pete Wells just said, you and your friends, get over it.
Thatās great. Listen, this is exactly what I wanted. I wanted my expectations to be managed by a professional. And now theyāve been managed.
Right. I mean, where I think you start to need ā or if youāre 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 is where theyāve kind of suffered a little bit. They waited 30 minutes. They waited 30 minutes for their steak or somebody spilled wine on them.
OK. 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. And it doesnāt sound like you got there.
I didnāt feel wronged. But I will say, and not that we needed some grand apology or anything, but I was sort of expecting somebody would be like, oh, weāre sorry about that, let us take care of that, just sort of a real quick thing. That didnāt really arrive. And so that was just sort of curious to me, I donāt know.
Yeah, thatās definitely a service issue, because you would hope your server would say, oh, Iām so sorry, itās not the way youād like it. Even if they donāt admit wrongdoing.
Exactly.
They donāt have to say, oh, my god, I canāt believe it. Like, Chef, they donāt know whatās going on back there. But just to say, Iām sorry, itās not what you were hoping for, let me take care of that.
Instead, I felt like we were getting the looks, like, oh, here we go with these people. It was one of those. Itās like, oh, itās one of these kind of tables. Theyāve got opinions about the meat temperature.
Yeah, now, in my experience, that sort of very fine-tuned sense of hospitality of like, Iāll apologize even if I donāt think the restaurants in the wrong. Iāll apologize because itāll make them feel better, that is sort of what separates 95 percent, 96 percent, 97 percent of the restaurants from the really, really good, careful ones.
There you go.
So thatās a rare experience, and youāre lucky if you get it.
Yeah, no, the