Hard Fork

Why Roomba Died + Tech Predictions for 2026 + A Hard Forkin’ Xmas Song

64 min
Dec 19, 20254 months ago
Listen to Episode
Summary

Hard Fork explores iRobot's bankruptcy filing and the role of antitrust regulation in its downfall, featuring founder Colin Engel discussing the failed Amazon acquisition. The hosts also make tech predictions for 2026 and perform their annual Christmas carol.

Insights
  • Antitrust enforcement blocking the Amazon-iRobot deal may have accelerated rather than prevented market consolidation, with a Chinese competitor now acquiring the company instead
  • Chinese competitors gained competitive advantage through access to protected domestic markets and government subsidies that U.S. companies couldn't match
  • Technology choices (camera vs. LiDAR navigation) were strategic bets rather than failures, but slower adoption of complementary features like wet mopping proved costly
  • The regulatory environment creates uncertainty for future robotics and AI companies seeking acquisition or investment as growth strategies
  • AI bubble will likely persist through 2026 despite potential startup failures, as frontier labs continue generating significant revenue and business adoption
Trends
Government-backed market protection for Chinese tech companies creating uneven competitive landscape for U.S. manufacturersAnti-AI sentiment emerging as potential political organizing force in 2026 midterms, particularly around data centers and job displacementAge-gating social media (16+) spreading globally as regulatory standard following Australia's leadAI-generated content becoming increasingly mainstream in entertainment, though award recognition remains unlikely in 2026Enterprise SaaS companies facing disruption as businesses build custom software using AI coding tools instead of buying subscriptionsWaymo autonomous vehicles transitioning from niche to mainstream adoption across multiple U.S. cities and internationallyFrontier AI labs consolidating market power while mid-tier startups face down rounds and acquisition pressuresRegulatory focus shifting from blocking acquisitions to managing AI development pace and environmental impact of data centers
Topics
iRobot Bankruptcy and Market ConsolidationAntitrust Enforcement in TechChinese Competition and Government SubsidiesRobot Vacuum Technology and Product StrategyAmazon Acquisition Failure2026 Tech PredictionsAI Regulation and Political PolarizationAge-Gating Social Media PlatformsAI-Generated Content in EntertainmentAutonomous Vehicle AdoptionEnterprise Software DisruptionData Center Environmental ImpactCryptocurrency Meme CoinsMillennium Prize Problems and AIAI Bubble Economics
Companies
iRobot
Filed for Chapter 11 bankruptcy after losing market share to Chinese competitors; Amazon acquisition blocked by antit...
Amazon
Attempted $1.7 billion acquisition of iRobot in 2022, blocked by FTC and EU antitrust regulators
Piscia Robotics
Chinese competitor and iRobot's largest creditor; will acquire iRobot out of bankruptcy
RoboRock
Chinese competitor that entered U.S. market in 2018 and became iRobot's biggest rival
Waymo
Autonomous vehicle company expanding operations to NYC, Miami, DC, Nashville and London in 2026
OpenAI
Discussed regarding Sora video generation product, potential AGI declaration, and 2026 IPO prospects
Anthropic
Frontier AI lab planning IPO in 2026; CEO's boyfriend works there (disclosure)
DeepMind
Working on solving Millennium Prize problems, particularly Navier-Stokes equations
Microsoft
Mentioned regarding OpenAI partnership and AI infrastructure investments
Google
Identified as tentpole AI company likely to remain stable through 2026
Apple
Discussed as potentially replacing CEO Tim Cook with outside candidate in 2026
Snap
Predicted acquisition target by Apple in 2025 prediction that did not materialize
X (Twitter)
Merged with XAI in March 2025 in all-stock deal valuing company at $33 billion
XAI
Merged with X/Twitter in March 2025; valued at $80 billion in the transaction
Airbnb
CEO Brian Chesky mentioned as potential dark horse candidate to replace Tim Cook at Apple
Salesforce
SaaS company potentially vulnerable to disruption from AI coding tools enabling custom software
CoreWeave
GPU rental infrastructure company predicted to struggle in 2026 amid AI market consolidation
Stripe
Highly valued private company potentially going public in 2026
SpaceX
Highly valued private company potentially going public in 2026
Disney
Signed deal with OpenAI for Sora access to generate Disney character content
People
Colin Engel
Discusses iRobot's bankruptcy, failed Amazon acquisition, and strategic decisions around navigation technology
Kevin Roos
Co-host of Hard Fork podcast; tech columnist at New York Times
Casey Newton
Co-host of Hard Fork podcast; founder of Platformer newsletter
Lena Khan
Led FTC opposition to Amazon-iRobot acquisition; Colin Engel suggests personal bias against big tech
Sam Altman
Mentioned regarding potential AGI declaration and Sora product strategy
Tim Cook
Expected to retire in 2026; succession planning underway with potential outside candidates
John Ternus
Reported as front-runner to replace Tim Cook as Apple CEO
Jony Ive
Mentioned as potential dark horse candidate to return to Apple as CEO
Brian Chesky
Mentioned as potential outside candidate to lead Apple; known Apple and Steve Jobs enthusiast
Mira Murati
Mentioned as remote possibility to lead Apple if company acquires her AI startup
Demis Hassabis
Reportedly interested in having DeepMind win major entertainment awards for AI-generated work
Bernie Sanders
Called for moratorium on new data center construction to allow time for AI regulation
Jim Jordan
Subpoenaed 16 tech companies in March 2025 regarding alleged Biden administration pressure on AI content
Dean Ball
Recently stated Claude Opus 4.5 meets OpenAI's definition of AGI
Quotes
"We got to a point where for very good and understandable reasons, the market pressures in the competition led to an economic model where iRobot was fighting itself pressured to innovate."
Colin Engel~25:00
"I believe iRobot was roadkill. We were this is Colin's personal view. We were roadkill."
Colin Engel~38:00
"Markets are difficult to create. They're fragile. They need to be nurtured. They need to be cared for and there are many, many people who are working incredibly hard to take any scent of an exciting new market away from the inventor."
Colin Engel~40:00
"We need to reestablish confidence that the FTC's role is to prevent the abuses of the FTC's role as well as catalyzing American competitiveness."
Colin Engel~42:00
"If you're batting a thousand, you're doing it wrong."
Kevin Roos~75:00
Full Transcript
Framer is a website builder that turns dot-coms from a formality into a tool for growth. Whether you want to launch a new site, test a few landing pages, or migrate your full dot-com, Framer has programs for startups, scale-ups, and large enterprises to make going from idea to live site as easy and fast as possible. Learn how you can get more out of your dot-com from a Framer specialist, or get started building for free today at framer.com slash hard fork for 30% off a Framer Pro annual plan. Rules and restrictions may apply. Casey, what's going on? Well, Kevin, I want to get ahead of something before you and all of our listeners read this in the tabloids. I did have to get rescued off a ride at Disneyland this past weekend. Come on. Yeah. Really? Yeah. We were over there at Tiana's Bayou adventure. That's the recently rebranded Splash Mountain. And we were just about to go up the big hill and come down for the big Splash when the ride broke down. And after 20 or 30 minutes, some very nice people came and walked us out of the Bayou adventure through the sort of backstage area. And I won't say that it was scary, but there is something sort of embarrassing about having to be pulled off of a log flume. Wait, you're not kidding. This is an actual thing that happened to you? This is a real thing that happened to me. And this is part of the story of technology is that you can have suspended your disbelief and you think you're floating through a magical Bayou adventure, but in reality, Kevin, the tech could break at any second and then you're going to have to get pulled off by a man with a hook in his arm. Yeah. It sounds like instead of going on the Bayou adventure, you almost went on the Da'you adventure. Yes. That's... That is exactly right. I'm Kevin Roos, a tech columnist at The New York Times. I'm Casey Neum from Platformer. And this is Hard Fork. This week by Robot, Roombot co-creator Colin Engel joins us to talk about why the iconic vacuum company went bankrupt. Then our 2026 tech predictions. And finally, we're going caroling. A hard forking Christmas makes its annual return. Gloria, get my earplugs. Well, Kevin, as we kick off the show this week, a legendary American company is entering an exciting new chapter. Unfortunately for them, it's chapter 11. That's the bankruptcy chapter. That's correct. On Sunday, iRobot, maker of the Roomba, filed for chapter 11 bankruptcy after finding itself out competed by a bunch of Chinese fast following companies. Yes. So this is one of the longest running robotics companies in the world. iRobot was started in 1990. The first Roomba came out several years after that. And it has been sort of synonymous with the whole category of the household robot vacuum. But as you mentioned, they have been running into some issues in recent years. You could say they've been bumping into walls. Yes. And in 2022, they had their biggest obstacle, their biggest wall, which is that it looked like iRobot was going to get acquired by Amazon. Amazon made an offer to buy the company for $1.7 billion. But antitrust regulators in the US and the EU stepped in and said, we don't like this and we're going to attempt to block it. That made the deal fall apart. And in 2024, they officially walked away and the company now is bankrupt. They kind of zoomed away. They turned around and scooted away. And we should say, I think this is a fascinating story, not just about a company that made an iconic product and then fell on hard times, but of the complicated balancing acts and tradeoffs involved in regulating the American tech sector. Yeah. And one of those tradeoffs, Kevin, is that now iRobot will be owned by a Chinese company named Piscia Robotics, which is its largest creditor and a competing design manufacturer. And there are now those who say, hey, this is actually a much worse outcome for us because now there is no longer an American company that is making a very popular household robot. And instead, this is one more category of manufacturing that we seem to be seeding to China. So all of that gives us a lot of good reason to talk to the founder and former CEO of iRobot, Colin Engel. Yeah. Colin co-founded iRobot in 1990 after working at MIT's AI laboratory and eventually went on to serve as CEO of the company for 33 years. He stepped down in 2024 after the attempted Amazon acquisition fell through. And today he is making a case that basically iRobot was a casualty or roadkill, as he put it, the direct result of misguided antitrust enforcement by the US government and a tragedy for American innovation. Yes. But as you will hear, he is also willing to admit that he did make some mistakes along the way. And that gives us a rare opportunity, Kevin, because usually when CEOs come on the show, they want to make the case that they are one of history's greatest geniuses and that they are about to change the world for the better for all of us. It is much rarer for a CEO to come on and say, hey, look, here are some of the hardest calls I had to make and here are some of the ones I got wrong. Yeah. So in order to hear his angle, let's bring in Colin Engel. Colin Engel, welcome to Hardfork. Great to be here. So we've invited you on today to talk about iRobot, the company that you started and ran for many years, the maker of the iconic Roomba robot vacuum. And to start, I'd like to kick things off with just the most basic question possible. Why did iRobot go bankrupt? You know, it's a complicated question, simple to ask, hard to answer. And we led the world, we invented the category of consumer robotics back at the launch of the of the Roomba in 2002. And for 17, 18 years, really grew the category. And then, you know, as it got more competitive and the world changed, we had to change with it. So ultimately, bankruptcy is something that happens when you need some external help to take the next step in the chapter of development. Liam McCabe at the Wirecutter, who's reviewed house cleaning robots for a long time, argued recently that iRobot hit its peak in 2018 with the release of the Roomba i7 Plus, which could clean specific rooms on command and automatically dump the contents of its dustbin into its own dock. But shortly after that, Chinese competitors began to pull ahead, including RoboRock, which I think became iRobot's biggest Chinese competitor, entered the US market in 2018. What were the core problems in your view that started to erode that market leadership? You know, it's certainly the advent of this new type of competitor, the Chinese fast follower who had access to the Chinese marketplace, which iRobot effectively did not for various pragmatic and political reasons, gave a protected market to cut your teeth on for the competition. I also think that the marketplace was not a level playing field, as I described. What do you mean by not a level playing field? Do you mean the ability to sell in China specifically? Correct. Or is there something else? Yeah, iRobot was, you know, for a small period of time, iRobot was the leading manufacturer of vacuuming robots in China. Then it stopped because China decided that this was a market of interest, and they were going to ensure that Chinese companies were advantaged to succeed there. The Chinese government provided subsidies, direct subsidies to our competitors, and we had to overcome that as well. So, you know, in an emerging marketplace, you know, it's a cage match, and it certainly got hard, and you know, it got increasingly competitive. So, you know, companies need to adapt, and ultimately, we were open to other strategies to enable us to continue to edit, which is why when Amazon came and said, hey, we think we have a vision that is compatible with your vision, it made a lot of sense, and we were excited. We want to talk about the acquisition, but I have one more product question first. Sure. And I want to say, like, it's really hard to invent a whole category until, like, be a market leader for, like, 18 years. And as you say, like, competition is brutal. And so, I do appreciate you just, like, you know, sitting through our questions about, you know, about some of the difficult decisions that you had to make along the way, some of which didn't turn out, right? This is just something that happens to CEOs. But I think there's one question that comes up over and over again when you read the sort of Roomba obits, and it is that Roomba relied on cameras to get around and not LiDAR, this sort of next generation technology. And it seems like the Chinese competitors really embrace LiDAR, and consumers prefer that over time. So, while you were the leader, you guys didn't embrace LiDAR. And I'm curious what role you think that played in all this. You know, it's, I'm entertained by the question. Because it's wrong. It was wrong that it's wrong now. I mean, does your autonomous driving vehicle have a LiDAR on it? No. Why? Right. Because it is a dead end technology, which gives you no situational awareness But Waymo's have LiDARs on them. I mean, this is sort of the classic Waymo Tesla divide, sort of divide, sort of shrunk down to the household robot. Well, sure. Then call it the Rovaraq iRobot divide. And under my leadership, I was playing the Tesla card, which said, I will put every penny of COGS in the Roomba against better visual understanding. Because I believe, at the time, this was, this was very publicly stated, the Roomba with a camera could understand what it was doing, could understand whether it was doing a good job or a bad job, and could play a role as the hub of the smart home in a way that a robot driven by a LiDAR could not. And the maps that you make with a camera are more rugged and robust to moving furniture. And, you know, we explicitly decided not to put LiDAR on Roomba, because it took away from the COGS that I could put against CPU and other technologies. And so this was not a, why did you fail to innovate? This was a strategy. Right. I guess I'm not contending that most consumers care whether their robot vacuum uses LiDAR cameras. I don't think most people know. I don't think most people care. I certainly had bought Roombas, you know, for my first apartments and homes before I knew what technology was running on them. I just care, does this thing clean my floors or not? Right. And I think, you know, over time, there started to feel like a gap between Roombas and some of these Chinese competitors with other features, things that were unrelated to navigation, things like, does this thing have a wet mop as well as a vacuum in it? Can there sort of be these other features that can maybe make this thing a little more useful or require a little less oversight? So are there other features that the Chinese competitors and other competitors introduced into their robots that you wish the Roomba had adopted earlier? So honestly, we got wet mopping wrong. We built our first mopping robot two years after Roomba. And we felt like creating an independent mopping solution was the right strategy. And it gave the best customer benefit. It did the best job. As in having a separate robot that mops the floors than the one that vacuums the floors? Yeah, we called it Scuba. And, you know, we built it. It worked great, but the customer didn't go for it. It was never going to work as an independent product, but it was going to work as an incremental feature. And we reacted late and we took some damage and had to do some rugged hustling to go catch up. So, you know, I deserve arrows for mopping. I believe that the light art people are still wrong. And I just wish we had moved faster and had a longer runway before that, because that led to a great place. Let's say, I feel like we sort of missed the middle of the story, which is the attempted sale to Amazon. You mentioned it earlier, but I kind of want to revisit that. So, in August 2022, Amazon offers to buy iRobot for $1.7 billion. It ultimately falls apart over antitrust concerns. I think some people look at that and they think, well, that seems fine because Amazon's already plenty big and I don't want it to own every vertical of e-commerce in existence. But I imagine that you may feel quite differently. So, make your case that this was a bad outcome for America that iRobot was not able to become a part of Amazon. Well, that's pretty easy. We got to a point where for very good and understandable reasons, the market pressures in the competition led to an economic model where iRobot was fighting itself pressured to innovate. iRobot was a proxy for the United States because we were the only public company doing consumer robotics. And so that if you were a fan of having consumer robotics being an industry where America could claim leadership, you needed iRobot to continue to be able to invest like big dogs and create innovations that was going to give consumers the choice that they were asking for. And so the challenge was the acquisition seemed to become all about Amazon and not at all about consumer preference, leadership in the consumer robot industry and doing what the European Commission and the FTC are charged with doing is defending the worst abuses of monopoly. I mean, at the time iRobot's market share in Europe was 12% and declining. The market leader in Europe was a company that had been in the marketplace for three years. That's kind of the definition of a vibrant dynamic marketplace. How do you even create an argument that says there are monopolistic forces, antitrust forces that are at play here? What was the what was the rumors market share in the US at the time? I'm just curious. I mean, it was hanging around 50%. Okay, so not like an overwhelming monopoly, but a dominant player in the market. No, and the market share unfortunately for us at the time was going down. Well, there was multiple healthy competitors that were seeing their market share going up. Again, very difficult to say, okay, this is a monopolistic position. In your view, was the failure of the antitrust regulators that they kind of misjudged what kind of acquisition this was, that this was more of a lifeline or something strategic to sort of let the company keep operating from a place of weakness rather than sort of Amazon trying to gobble up a company on the rise that was sort of going to enable it to extend its dominance into another area? It would be impossible for me to believe that anything was missed. I mean, iRobot spent tremendous amounts of its own resources and Amazon spent many, many times what iRobot spent over the course of 18 months doing our best to make incredibly clear the facts and circumstances regarding the acquisition. There was nothing unsaid and there was no gee golly, I wish we had asked that question, but we didn't. So why did it get blocked? It wasn't ignorance. One concern that came up a lot at the time was iRobot famously used these cameras and there were worries that Amazon was just going to have detailed views inside the homes of many, many Americans and this could be used for some targeted advertising or just other uses that people might find creepy. Of course, now we're in a world where it's going to be owned by a Chinese company and so all those same images are going to be in China. I'm curious, what was the conversation around that at the time with those regulators and did you float the possibility that like look, if it's like not Amazon that has access to this data, it might be something that you like even less? I think that we and to my knowledge continue to have incredibly rigorous privacy and security. In fact, images never leave the Roomba. We defended in depth, meaning that all of that use of cameras was all done on the edge on the robots. No image ever left the robot unless you gave explicit permission to the exact image that we showed you that we were going to share all opt in and iRobot adheres to the highest level of cyber and security. We were the first consumer product company to ever meet the requirements of sort of the gold standard and data security. If it wasn't the privacy concerns that you think led the FTC to block this acquisition and if you don't think it was ignorance on their part, what was it? Why do you think the government stepped in to prevent this merger from happening? I have no logical answer to that question. I do not believe there is any economic rationale which would say that the FTC or the European Commission had any evidence that the consumer was going to be negatively harmed by the acquisition of iRobot by Amazon. I believe that passionately the consumer only lost and so that if that's not the reason, why did the FATERNAL Trade Commission with the Commissioner Lena Kahn outspoken in her opposition of big tech choose to take a position contrary to the formal charge of the FTC to protect the interest of the consumer and answer it with your own gut. What is your own gut? I believe iRobot had nothing to do with the blocking of the deal with the FTC. Then it was essentially just Lena Kahn didn't want Amazon to get bigger and that was the end of the conversation. I believe iRobot was this is Colin's personal view. We were roadkill. Yeah. Well, so let's talk about as we sort of are running out of time here, what you think the implications of this are for future efforts to get robotics companies off the ground in the United States? We've had some robotics companies on the show over the past several months. What is your experience tell you about their likely path forward and what concerns do you have about the future of American manufacturers? The tragedy of the blocking of the transaction is we did it to ourselves and the net result which I have argued was done with eyes wide open was putting the consumer robot industry in a box, gift-wrapping it and handing it to someone else. Markets are difficult to create. They're fragile. They need to be nurtured. They need to be cared for and there are many, many people who are working incredibly hard to take any scent of an exciting new market away from the inventor. We as a nation need to decide what we want to have happen. Now, here we're sitting around with physical AI, humanoid. It's at an exciting point. Billions of dollars have been invested in leadership and creating American companies that are doing tremendously exciting research and the ramifications is worth trillions of dollars of value creation in the future if what has been written and invested in is to be believed. And so are we going to protect and catalyze American companies to continue to leave? We need to reestablish confidence that the FTC's role is to prevent the abuses of the FTC's role as well as catalyzing American competitiveness. I have real concern that that may not be the commonly held view of the role of the FTC. So let, if nothing else, the tragedy of the events of the Amazon attempted acquisition of iRobot to serve as a lesson as we think about an industry which honestly could be a thousand times larger than robot vacuuming. Now let's not screw it up. Let's treat this as the golden goose that could help the US economy drive economic leadership for decades to come because it is in our hands. Well, Colin Engel, thanks so much for joining us. Great to be here and thank you for the conversation. When we come back, I predict that I crushed Kevin at last year's tech predictions. Let's talk about it. So Framer is a website builder that turns dot coms from a formality into a tool for growth. Whether you want to launch a new site, test a few landing pages or migrate your full dot com, Framer has programs for startups, scale ups and large enterprises to make going from idea to live site as easy and fast as possible. Learn how you can get more out of your dot com from a Framer specialist or get started building for free today at framer.com slash hard fork for 30% off a Framer pro annual plan. Rules and restrictions may apply. In theory, I knew that this kind of thing can happen in any family. Anyone's first cousin could be plotting murder. This is UCE 4735 and today is upstanding citizens are always turning out to be secret criminals. And I wouldn't even call my cousin Alan an upstanding citizen. My clients are in cartel level guys are all badass. But it's one thing to know. There's a more permanent way to do it. Yeah, more and more different permanent. And another thing to understand. Alan murder me. It ended up being so much worse than I thought I knew. The price is eminent. The reason the books okay for what it's worth. What the hell was Alan thinking? Like, let's just say that I'm a little pissed off. Yeah, yeah, no, I get it. Yeah. From serial productions and the New York Times, I'm M. Gesson and this is the idiot. Listen, wherever you get your podcasts. Well, Casey, we're coming down to the end of 2025 and as is our custom on this show, it is time to stare into our crystal balls and look at our predictions for the coming year. Let's look at those balls. But before we talk about our predictions, we should make our disclosures. The New York Times company is doing open AI and Microsoft over a copyright violations related to the training of large language models. And my boyfriend works in Anthropic. So Casey, remind me what your predictions were last year. Well, Kevin, as you know, each year we make three predictions at different levels of confidence. So each year we say something that we are highly confident is going to happen, something that we are medium confident is going to happen and something that we have a low confidence is going to happen. Right. And so let's dive into them. Yeah. Well, last year I said with high confidence, I think that in 2025, the AI culture war is going to begin. Yes. And you really nailed this one. Thank you. Yeah, I had basically predicted that we were going to see congressional hearings about the way that chat.gbt responds to certain questions and outrage about the way that LLMs respond with sort of politically sensitive topics. And if you sort of go back through the past 12 months, you can see that in March, Representative Jim Jordan subpoenaed 16 tech companies in an effort to discover whether the Biden administration had pressured them to quote, censor lawful speech in their AI products. And then in July, Missouri's attorney general announced a new pressure campaign against many of those same companies by complaining that when it came to President Trump, chat bot makers weren't being nice enough to him. It found that it was sort of ranking him low on various lists that the attorney general thought that he should be ranked highly on. So this was exactly the sort of thing that I thought was going to happen. Honestly, it seemed obvious to me and it didn't back up. Yes. And we also saw the woke AI executive order in July, which sort of put some sort of shiny government gloss on this requirement that chat bots remain ideologically neutral if they're going to be sold to the government. So yeah, I think this was a good prediction and you made it with high confidence and it came true. Yeah, look at you. Look at me. What was your high confidence prediction? My high confidence prediction for 2025 was that a newly released crypto meme coin would briefly reach a market cap of $100 billion before crashing. And the closest we came was the Trump meme coin, which peaked in value in mid-January at a market cap of around $15 billion and then crashed as of this recording. Its market cap is just over $1 billion. So it did not kind of reach the high point that I thought maybe it would. But I think in spirit, I'm going to chalk this one up to a win. Yeah, I don't think it's a win. You got 15% of the way to it being true and failed. That's an F, my friend. All right. Let's talk about our medium confidence predictions. Mine was that in 2025, Waymo would go mainstream. And I think I got this one right. I thought maybe there might be an SNL sketch about it that did not happen, but Waymo is now about to start operating in New York City, which I do think will be the gateway to it becoming more mainstream. There was also a question about Waymo on Jeopardy. And it just announced that it was going to expand into a lot more cities, including Miami and Washington, DC. It currently operates in the Bay Area, LA, Phoenix, Austin, and Atlanta. Next year, it's going to Nashville and London. So I do really think that Waymo went mainstream this year, Kevin. Wait, if I get a fail for my prediction about a crypto meme coin, you do not get a passing grade for predicting that Waymo would go mainstream. How? Why not? There was no SNL sketch. That was your resolution criteria. And I would say, for the most part, Waymo is still mostly a California phenomenon. Sure, it's operating these other cities, but it's been slower to roll out than expected across the country. There's been some resistance to it in some of the East Coast cities where it has announced plans to launch. So yes, I agree. It has been a big year for Waymo, but I still think there is more to come as far as the public's embrace and understanding of the driverless car. Well, of course, there is more to come, but I think Waymo has become a household word in 2025. Okay, I'll let you have this one, because I am a fair and generous co-host. Thank you. What was your medium confidence prediction? My medium confidence prediction for 2025 was that Apple would acquire Snap. And Casey, I did not get this one right. You know what? You have my sympathy here, because I thought that was a pretty good prediction. Snap has sort of been languishing for well over a year now. Snapchat is a very widely used product, but the business they built around it has just never been very good. And I think there was at least some thought that Apple might kind of pick them up and do something with its hardware, which I think they could have really turbocharged, but they had other plans, which was to do nothing with Siri. Yes, they were busy not building AI features. So this one will have to wait if it happens at all until next year. That brings us to our final predictions for last year, our low confidence predictions. And my low confidence prediction was that X, the former Twitter, would be merged into XAI. And Casey, did that happen? Believe it or not, it did. It happened in March in an all-stock deal that valued the social media site at $33 billion and XAI at $80 billion. Both of those numbers seem ludicrous to me, but what can you do? It's a private company. So anyways, so if you listen to our predictions episode last year and then you went on to Polymarket or one of these other prediction market sites and you placed a large bet on the Casey Newton low confidence prediction, you made some money. I mean, I think arguably I did go three for three. And I'm told that possibly our producers have made a sound effect. Wow, look at that. Thank you. That was very satisfying. This is a double-edged sword because sometimes if you go three for three, it means that you weren't going very far out on a limb. But I don't know. I don't know if a lot of other people were betting that X and XAI were going to emerge by March of this year. Yeah. Well, I give you a 2.5 out of three, which is still pretty good. Fair enough. All right. What was your low confidence prediction? My low confidence prediction for 2025 was that at some point during the year, OpenAI will officially declare that they have achieved AGI. And Casey, that did not happen either. No, it didn't. That was another miss for me. And I'm told that our producers have also made a special sound effect for me. Okay. Sometimes when you swing for the fences, you do strike out. Yes. This was my low confidence prediction for a reason. I did not actually believe it was highly probable that OpenAI would declare AGI. I did think that it was possible because among other reasons, they had this sort of contract with Microsoft that in my view, incentivize them to kind of jump the gun or declare AGI early in order to get out from under their commitment to share their IP with Microsoft. As it turned out, they found another way to sort of get around that by just completely restructuring the company and redoing some of their language in that Microsoft deal. So they don't have quite the incentive to declare AGI early that they might have a year ago, but they did not do it by just getting on stage and having Sam Altman declare that the machine got had arrived. They did it. Now, interestingly, Kevin, just within the past few days, Dean Ball, recent hard fork guest and former AI advisor to the Trump administration said that he believed that Claude Opus 4.5 met OpenAI's definition of AGI, which I also think is a bit out on a limb there, but does speak to the fact that if nothing else, maybe we made some progress toward AGI this year. Yeah. I mean, I think if I've changed my view on AGI at all in the past year, it's that it will not be kind of a single point in time. There will not be like one day when everyone kind of agrees like, oh, it's here. I think it will be a steady progression of things that feel like AGI for some people and not for others. And that makes me sad because I was planning to take AGI day off. I thought if we get there, I'm going to the beach. But now I guess I can't do that anymore. Nope. All right. So those were our predictions for 2025. Casey, what is your high confidence prediction for 2026? Oh, man. Well, you know, Kevin, after going three for three this year, I've never felt more pressure on me than I do right now on the Hard Fork podcast. But I think I have one thing that I'm going to feel confident about with high confidence in 2026. And it's this. I think that 16 plus becomes the new norm for social media accounts worldwide. Recently on the show, we talked about the fact that Australia had just said that you must be 16 to have an account on 10 different apps, including YouTube, Instagram, TikTok, Snapchat and more. I think you're just going to see more and more countries do this. Malaysia and Norway are looking into it as we discussed last week. And I would bet that by the end of 2026, we've seen at least five other democracies introduce similar rules. This thing is just sweeping the nation. And I think it makes a lot of sense. And we're just going to get a really interesting experiment into what happens once you kick kids off these big mainstream apps. I like that. Do you think that what would this sort of resolution criteria for this would be? Would it be five countries, 10 countries? Let's say five more countries enact under 16 bands of roughly the same shape as the Australia band. Wow. Okay. So that will go into our predictions for next year. We are, as always, going to put these up on manifold, the prediction market site where you can bet play money on whether they'll happen or not. Basically, just have some fun with figuring out whether you agree with us or not. Thank you, kids. This prediction market is not in Roblox yet, but stay tuned. Okay. I like that prediction. I agree that it is likely or to happen than not. Kevin, give me a high confidence prediction for 2026. My high confidence prediction for 2026 is that an AI company will solve one of the Millennium Prize problems. Tell us about the Millennium Prize problems. So the Millennium Prize problems are a set of difficult and important open problems in mathematics. This so-called Millennium Prize was started in the year 2000 by the Clay Mathematics Institute. And they basically said, here are seven of the hardest problems that we don't have solutions for. If you solve one of them, you get a million-dollar prize. Can you give me a little flavor of this, because I did get a B in high school trigonometry? Yes. So you're probably not a candidate for solving one of the Millennium Prize problems. How dare you? I have chat GPT access. But these are things like the Riemann hypothesis, if you've heard of that, the Navier-Stokes equations that describe the motion of fluids, the Yang-Mills and Mascaps. Wait, I can describe the motion of fluids? Dramatic, beautiful, inspiring. The Birch and Swinerton-Dyer conjecture, if you solve that one? No. I actually don't even have a conjecture about what it's about. So I'm really kind of at square one there. So basically, these are problems that are not just sort of hard computationally. Some of them require kind of entire branches of mathematics to be developed in order to even start solving them. And these have been seen for years as kind of the ultimate prizes for mathematicians and others in the hard sciences. And AI companies in particular have been watching these problems very closely to figure out, hey, could we throw one of our models at one of these and come out with a solution? They don't really care about the million-dollar prize, a million dollars, by snacks in the micro kitchen. It gets you one meeting with their top AI researcher. Right. But it's more the principle of the thing, the idea of sort of cracking open some of the hardest unsolved problems in mathematics that is very appealing to them. There were some reports earlier this year that DeepMind was working on one of these problems in particular, the Navier-Stokes equations. And so my prediction is that in 2026, one of these problems will be officially proven and solved. All right, there it is. I don't know how to think about the likelihood that that comes true, but I see no reason why it couldn't come true. Yeah. Well, I think if one of the AI companies doesn't do it, you should commit to doing it. You know what? I have a lot of time open in the back half of next year, so I might take a crack at it. All right, let's talk about our medium confidence predictions next year. Kevin, and here is mine. I believe that in 2026, we are going to see a group of Democrats win big in the midterms by leaning into anti-AI sentiment. Ooh, I like this one. Yeah. So we are already seeing some sort of stirrings of anti-AI feeling, coalescing into political action. In recent days, Senator Bernie Sanders called on a moratorium on the construction of new data centers to try to give us more time to figure out how to regulate AI. So to me, that was kind of a bellwether announcement. We've also seen a lot of sort of NIMBY behavior in counties where data centers are being constructed. People are saying, I don't want you to build this here. I'm worried about the environmental impact, and also I don't want you to take my job. And so don't build this thing here. And if we've learned one thing from American politics in the past 20 years, it's that NIMBY movements are extraordinarily powerful. You want to get somebody to the polls, make them think that their vote will result in something not being built, and it will work. You know what I mean? Exactly. And so you have a bunch of Democrats who are still kind of casting around looking for a message. And I think you have the president giving them a gift because he is still very much in league with the Andreessen Horowitz wing of the Republican Party, which is all gas, no breaks when it comes to AI development. And Trump is basically giving them free reign to say you write the policies that you want, including backing a moratorium on all state-level AI legislation. Yeah, it does kind of feel like AI is polarizing in a very predictable way. Republicans think it's good, Democrats think it's bad. I think that's why this is a reasonable prediction. I don't know if it's going to happen in the 2026 midterms and the 2028 presidential election, but I agree that this will become a very salient issue for voters in one of those two elections. Yeah. And I mean, you say that Republicans think AI is good, but I would say Republicans do not necessarily think data center in my backyard is good and they do not necessarily think AI takes my job is good. So that is the actual political opportunity here and I just think you're going to see some Democrats use it. And by the way, I also think you're going to see some Republicans use it. And if you want a sort of secondary prediction here, is that you do see some sort of schism next year within the Republican Party over this very issue. And what would a resolution criteria for this be? What would convince you that in 2026, a group of Democrats had won or found political purchase with this argument? Let's say you see like three Democrats flip seats next year who espouse anti-AI sentiment in their campaigns. I like that. My medium confidence prediction for 2026 is that a primarily AI-generated work will be nominated for a major entertainment award. Now, what do I mean by this? I mean basically the big four, the Emmys, the Grammys, the Oscars and the Tonys. I think this is nano bananas. Why do you think this is true? So here's my case for this. Number one, we have talked about on the show this year that AI slop among many people is very popular, right? In the past few months, at least six AI or AI-assisted artists have debuted on the billboard charts. We also know that AI video is starting to get quite good. Filmmakers like Darren Aronofsky have been experimenting with AI to do storytelling and visual effects in their films. We now have these sort of professional grade tools for Hollywood studios and filmmakers who are increasingly interested in using them. Some filmmakers obviously are not, but they are not going to be the ones who are proving this prediction true. And we've also seen some willingness on the part of the sort of groups that decide these awards to kind of allow AI to get its foot in the door. In fact, earlier this year, the Academy of Motion Picture Arts and Sciences, which votes on the Oscar winners, decided that the use of AI in films would neither help nor harm the chances of achieving an Oscar nomination. Basically, they said it's about the quality of the work as long as a human is involved in the film's creation, somewhere in the process, it can still be considered for an Oscar. I've also heard rumors that Demis Esabus, a deep mind, is very interested in having them win one of these awards too. Yeah, I bet he is. It doesn't mean it's going to happen. I'm also very interested in winning Best Picture, Kevin. I think you've got a chance at a Tony this year. Very nice of you to say. Look, this is not going to happen in 2026, I think particularly in the movies. And that is just because among the voter base for these awards, there is such justifiable anxiety about jobs being lost to this technology that they are not going to want to clap it on the back at the end of the year and say, ha-za! What a great film you've made. So I think film and TV, it's not going to happen. What I will say is that when this does eventually happen, because I do think that yes, probably eventually something that is made largely via AI does win one of these majors, it's going to happen in the Grammys. Because I think there, people are already using so many software tools to make songs, and it's just not that big of a leap to say, I'm going to have something generate like 100 hooks for me and like I'm going to pick the best one and make a song out of it. So I think it will eventually happen with a Grammy, but it's not going to happen in 2026. You might be right, but just so I'm clear, I did not predict that an AI generator work would win one of these awards, just that it would be nominated. That's the resolution criteria. And it is an honor just to be nominated. Okay, Casey, what is your low confidence prediction for 2026? Take a flyer. My low confidence prediction is that Open AI is going to retire Sora, the text to video generator. Sora is an app we talked about a lot on the show this year. It was Open AI's move into social networking and generated a lot of attention in part because of just the novelty of being able to make a video out of text with your own image or the image of certain celebrities or Open AI, CEO, Sam Altman, but it also generated a lot of controversy over in particular, the fact that at least when it launched, it was very easy to make videos out of copyrighted IP. This has caused a bunch of legal headaches for Open AI. Most recently, they had to strike a deal with Disney and give them a bunch of stock just so that they could get access to some Disney characters. But I think by the end of 2026, they throw in the towel on this. And here's why. We know that there is a sense that they might be just beginning to fall behind the frontier labs when it comes to the quality of their models. That has huge business implications for them. And this is a company that is running on like a razor's edge of like existence, right? Where it needs to raise so much money so that it can continue to lose so much money so that it can have a chance at inventing the model that will eventually turn a profit. And I think by the end of 2026, SORA just looks like a big distraction. During this Code Red moment, Sam Altman said, we are going to place the focus on chat to BT. I still think that Open AI will see value in having video generation. They're just going to say, hey, chat GPT is our champion here. That is the app that is already on everyone's phone. We are going to pivot around building social features into chat GPT rather than have this app out there that is already starting to decline in number of downloads. So that is my prediction for low confidence in 2026. And I think this one is a little crazy because I agree that it's possible that Open AI will retire the SORA app. And I think I would have agreed that it was possible they would retire the project altogether until this Disney deal from the other day, which I think made me confident that this is something they feel like they can actually make real money from. The terms of the deal, we still don't quite know what they were. But it is plausible to me that major entertainment studios are going to look to SORA as a way to cut their own costs. It's going to become maybe a more professional tool rather than a consumer social media product. But I think the video generation technology is good enough and useful enough to professional filmmakers that it will continue to exist. I mean, I don't know. I think that over the next year, we're going to see a bunch of like really weird and bad Disney IP slop. It's going to be like, pregnant, Mickey, kissing Sonic the Hedgehog or whatever. And Disney might have second thoughts about this. And I wonder how many other companies are going to be lining up to sign a similar deal. All right. My low confidence prediction for 2026 is that Apple will replace Tim Cook after his retirement with an outside CEO. Now, Casey, you're shaking your head at me. I presume you do not think this is likely. I do not think it is likely either, which is why it is my low confidence prediction. But I do think it would be interesting. Sure. I guess. I agree. It would be interesting if Apple got a new CEO. I don't think it's going to happen next year. But why do you think it might? So I think Tim Cook is very likely to retire next year. The Financial Times recently reported that Apple was stepping up its succession planning efforts as it prepared for him to step down. And they also reported that there was a front runner for Cook's replacement, the Apple Senior Vice President of Hardware Engineering, John Ternes. And I think most people who are careful Apple watchers expect them to go with someone safe, someone inside the company, someone with a long experience running a major division, maybe someone from the hardware side of the business. Since that's where most of Apple's mojo has been coming from recently. But I think this is a company that is sort of coming to the realization, albeit slowly and belatedly, that it needs to shake something up. It is a stagnant, dormant company that is coasting on its laurels that it received during the tenure of Steve Jobs and the early years of Tim Cook. And I think that there is an outside chance, I would put it at maybe 20% or so, that the Apple board gets Tim Cook's retirement notice and decides, you know what, we got to go with a dark horse here. And who do you think that dark horse will be? Okay, I have three ideas. Again, no saying that these are likely. Don't say Katy Perry. Not Katy Perry. Okay. Number one, Johnny Eif. Okay. Johnny Eif, of course, long time Apple design chief worked hand in hand with Steve Jobs. If Apple were trying to convince the public and investors that it still had that special Steve Jobs magic in its DNA, that it was returning to its roots as a design-led company, what better symbolic gesture could they make than by bringing Johnny Eif away from OpenAI, where he was recently acquired to do a hardware product there, and convincing him to come back and take up the flag and lead Apple into a bold new era that is really a bold old era. That's not going to happen. So who's number two? Number two, also probably not going to happen, Brian Chesky, CEO of Airbnb. Now, Brian Chesky has been running Airbnb. That's his baby. I don't actually expect him to leave, but I think this is the rare job that could actually convince him to leave Airbnb and do something new. He is known to be a huge Apple fanboy, a huge Steve Jobs fanboy. He has studied the careers of top Apple executives closely. And I think if the Apple board were looking for someone from the outside who's still very familiar with Apple's culture and its processes and the way it makes money, it could do worse than Brian Chesky. Well, I absolutely think he would do that job. And for this reason, who wants to run Airbnb? Oh my gosh. Come on. No thanks. Yes. Okay. I have a third dark horse candidate. This one would be a real humdinger. And that is Miramorati. Miramorati, the former open AI executive, now CEO of Thinking Machines Lab, a very buzzy AI startup, but not one that has spent a lot of time releasing products this year. I think there is a very remote chance. Maybe I would put this at sub 1% that Apple, in its sort of attempt to reclaim some authority in the AI market, would acquire Thinking Machines Lab, bring Mira and her team into Apple. And maybe as a result of that deal, they say, you know what? You're pretty good at this AI stuff. You should run the company. Interesting. I have trouble seeing that happen unless like a virus wiped out some significant portion of the population. And they thought, who is kind of still around? And they're like, what about Thinking Machines? Are they still up and running over there? So that's how I could see this happening. Okay. Well, that's why it's my low confidence prediction. But if this happens, I will be able to say, I told you so. Well, Kevin, as always, I appreciate you going way, way out on a limb with these predictions. And it's making me wish that I had perhaps gone further out on a limb. But I do think when the dust settles at the end of next year, I'm going to have gotten more of mine right than you will have on yours. Well, that's why we do these predictions at confidence intervals. If you're batting a thousand, you're doing it wrong. That's true. But unfortunately, I am still batting a thousand. Anyways, what else is on the show? Okay, well, that's our predictions. And Casey, you wanted to make one more set of predictions this year. Talk about that. So here's the thing. I imagine listeners may get to the end of the segment and say, okay, guys, thanks for these predictions. Here's what I really want to know. What is going to be the state of the AI bubble at the end of 2026? Is it still going to be foamy and frothy like it feels right now? Or is there going to be a major change in the landscape? Kevin, what say you to that? Yeah, so this sort of separate category of AI bubble prediction, I think we are going to see some economic turmoil as a result of AI in 2026. But I do not think we are going to see the kind of calamitous bubble pop market collapse that some people have predicted. I think Nvidia, Microsoft, Google, OpenAI, Anthropik, these sort of tentpole AI companies will mostly be fine. I think there may be some startups that raised money at high valuations that will have to either do a down round or be acquired at a discount, sell themselves off for parts, things like that. I'm skeptical of some of these so-called neoclouds, the companies like CoreWeave that sort of exist to rent GPUs and other AI infrastructure to the big suppliers. I think they might struggle in 2026. But I would be very surprised if we have sort of a single huge dot com style collapse in 2026. And so I don't want to make a prediction to that effect. But I do think that one possible thing that could happen next year is that there are companies that are so-called SaaS companies, software as a service companies, that start to really struggle. And why are they struggling? Because these are companies like a Salesforce, like a Xenophitz, like a company that sells software to businesses on a premium subscription plan. I think that some of those companies' customers may start building software themselves. Because now, with these AI coding tools, they can spin up a custom CRM, a custom benefits manager, a custom payroll software that suits their needs exactly, and they can do it at a fraction of the cost of buying a subscription from one of these big enterprise companies. So that is my AI bubble prediction, is that some of the companies that claim that they are AI companies will start to struggle, but will not be because this technology has not panned out or is not useful. It will actually be because the technology is quite good. I think that is a very sensible prediction. I think my views largely align with yours. I think at the end of 2026, things will still feel quite bubbly. And for this reason, the frontier AI labs are going to be making tens of billions of dollars more revenue by the end of next year than they are this year. And that is going to prop up large swaths of this economy. Like there is absolutely no sign that businesses are going to stop buying services from these frontier labs or that consumers are getting turned off of them. And that is the thing that is powering this whole bubble. Now, as you say, on the margins, some companies may not be able to figure out, and I wouldn't be surprised if we saw some big flame outs next year, maybe some of the companies that you mentioned. But I do think that at the end of 2026, this thing is like the engine is still going to be very, very hot. And it would be interesting to see that happen. I'll make one more quick AI bubble prediction, which is that 2026 is the last year to buy a house in San Francisco. Because I think this year, this coming year, we will see the IPOs of at least one major AI company. Anthropic is reportedly planning an IPO for next year. We may also see open AI go public, SpaceX may go public, Stripe may go public. There are these other very highly valued private companies that may go public when that happens. Their employees get rich and they go buy houses. And so if you are looking for real estate in San Francisco, the right time to buy was yesterday. Well, that's enough predictions. Let's do a production. When we come back, our annual Christmas Carol. The people demand it. What's the worst that could happen? Well, we could sing. Hi, I'm Solana Pine. I'm the director of video at the New York Times. For years, my team has made videos that bring you closer to big news moments, videos by Times journalists that have the expertise to help you understand what's going on. Now we're bringing those videos to you in the Watch tab in the New York Times app. It's a dedicated video feed where you know you can trust what you're seeing. All the videos there are free for anyone to watch. You don't have to be a subscriber. Download the New York Times app to start watching. Well, Casey, the holidays are upon us. And as always, at this time of year, we have a special gift for our listeners. We do. And it's the sort of gift that I think maybe this is the year that Kevin won't want to give this gift. Maybe he'll come up with a different gift. But in fact, it is the same gift that we will now re-gift to you in 2025. You hate this part of the episode, but I love it because it is our annual chance to break out our malefluous singing voices and show our audience the Christmas spirit. Yes. And this is my annual chance to remind you that Kevin is an accomplished singer and longtime choir member while I have the singing voice of a broken harmonica. Yes. I think you're a very good singer for what it's worth. And it is also our annual chance to wear our ugliest holiday sweaters. If you are not watching this on YouTube, you are missing out because you are wearing a sweater with Santa as a golfer. That's right. As a huge golfer, I thought what better chance to bust out the sweater that I spent $50 on yesterday because it was the only sweater that could arrive in the studio on time. Wow. Whereas Kevin is wearing a beautiful sweater that says Tree Rex on it and has a T-Rex that has a star on top of his head. And it also has many flashing like real Christmas lights that are affixed to the sweater. So you got a really high tech production going on over there, Roos. I do, yes. And I'm being warned that this may cause seizures for some of our YouTube audience. So I'm going to turn off the electric blinking lights here and just wear the Tree Rex sweater. But yes, this was a big hit at the kids holiday party last weekend. The last thing we need is the seizure cancellation scandal to take us out into 2026. Okay, Casey. Well, if you will indulge me in our annual caroling tradition, it is time for this year's rendition of A Hard Fork in Christmas. And wait to say that if you heard it last year, it's not the same song. Things have changed. See if you can spot the differences. Your lyrics. Thank you, sir. Do you want to do some scales to warm up? Uh, no, let's just croak it out. Okay. Who's going to be the Alphabet? Who's going to be the Glinda? You're definitely Alphabet. Okay. No, this is not a wicked thing. This is a Christmas classic, iconic. Families will be singing this around the hearth this year called that hearth fork. Oh boy. So Casey, let's close our laptops for the year and wish our listeners a happy holidays with the hard fork in Christmas. Let's do it. On a hard fork in Christmas, my true love gave to me a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me four humane pins, three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me five bum bum creams delivered from a drone, four humane pins, three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me six roblox scandals, five bum bum creams, four humane pins, three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me seven white house meme coin, six roblox scandals, five bum bum creams, four humane pins, three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me eight mecha hitlers, seven white house meme coin, six roblox scandals, five bum bum creams, four humane pins, three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me nine meta reorgs, eight mecha hitlers, seven white house meme coin, six roblox scandals, five bum bum creams, four humane pins, three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me ten signal war chats, nine meta reorgs, eight mecha hitlers, seven white house meme coin, six roblox scandals, five bum bum creams, four humane pins, three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me 11 chimpanzees, 10 signal war chats, nine meta reorgs, eight mecha hitlers, seven white house meme coin, six roblox scandals, five bum bum creams, four humane pins, three code reds, two robot pants and a bot trained on all our IP. On a hard fork in Christmas, my true love gave to me 12 AI bubbles, 11 ship panzines, 10 signal war chats, nine meta reorgs, eight mecha hitlers, seven white house meme coin, six roblox scandals, five bum bum creams, four humane pins, three code reds, two robot pants and a bot trained on all our IP. That's intellectual property. Can Ezra Klein do that? I don't think so. Merry Christmas, you filthy animals. Merry Christmas. See you next year. Hard Fork is produced by Whitney Jones and Rachel Cohn. We're edited by Jen Poyant. Today's show was fact checked by Will Peischel and engineered by Chris Wood. Original music by Alicia by YouTube, Diane Wong and Dan Powell. And Casey Newton and Kevin Roos. Casey Newton and Kevin Roos with an assist from Claude. Video production by Soya Roke, Pat Gunther, Jake Nichol and Chris Shot. You can watch this full episode on YouTube at youtube.com slash hard fork. Special thanks to Paula Schumann, Puiwing Tam, Dahlia Haddad and the amazing team that helps us make this show every week. We hope you all get some time off and happy holidays. You can email us as always at hard fork at nytimes.com. With what your true love brought to you this holiday season. We'll have more next week. We have a couple special episodes coming up for you over the holidays, so stay tuned. But mostly, have fun with your families, recharge your batteries. We'll see you next year.