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

“We were roadkill,” says Colin Angle, former chief executive of iRobot, maker of the robot vacuum.

• 0:00Speaker 00

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• 0:30Speaker 01

  Casey, what's going on?

• 0:31Speaker 02

  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.

• 0:40Speaker 01

  Come on!

• 0:42Speaker 02

  Yeah.

• 0:42Speaker 01

  Really?

• 0:43Speaker 02

  Yeah, we were, uh, 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, you know, 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.

• 1:14Speaker 01

  Wait, you're not kidding? This is an actual thing that happened to you?

• 1:18Speaker 02

  This is a real thing that happened to me. And this is part of the story of technology, is that you can, you know, 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 gonna have to get, you know, pulled off by a man with a hook in his arm.

• 1:35Speaker 01

  Yeah, it sounds like instead of going on the bayou adventure, you almost went on the dieu adventure.

• 1:39Speaker 02

  Yes.

• 1:41Speaker 01

  That's...

• 1:43Speaker 02

  That is exactly right.

• 1:50Speaker 03

  I'm Kevin Drus, a tech columnist at The New York Times. I'm Casey Noon from Platformer. And this is Hard Fork. This week, bi-robot? Roomba 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.

• 2:12Speaker 01

  Gloria.

• 2:13Speaker 02

  Get my earplugs.

• 2:25Speaker 02

  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.

• 2:37Speaker 01

  That's the bankruptcy chapter?

• 2:38Speaker 02

  That's correct. On Sunday, iRobot, maker of the Roomba, filed for Chapter 11 bankruptcy after finding itself outcompeted by a bunch of Chinese fast-following companies.

• 2:49Speaker 01

  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 synonymous with the whole category of the household robot vacuum. But as you mentioned, they have been running into some issues in recent years.

• 3:11Speaker 02

  You could say they've been bumping into walls.

• 3:14Speaker 01

  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.

• 3:45Speaker 02

  They zoomed away, you know?

• 3:48Speaker 01

  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 trade-offs involved in regulating the American tech sector.

• 4:06Speaker 02

  Yeah, and one of those trade-offs, Kevin, is that now iRobot will be owned by a Chinese company named Picea 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 ceding 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.

• 4:42Speaker 01

  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.

• 5:11Speaker 02

  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 this 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.

• 5:35Speaker 01

  Yeah, so in order to hear his angle, let's bring in Colin Engel.

• 5:47Speaker 01

  Colin Engel, welcome to Hard Fork.

• 5:49Speaker 04

  Great to be here.

• 5:51Speaker 01

  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?

• 6:09Speaker 04

  You know, it's a complicated question. Simple to ask, hard to answer. And, you know, we led the world. We invented the category of consumer robotics back at the launch 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.

• 6:52Speaker 02

  Liam McCabe at the Wirecutter, who's reviewed housecleaning 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?

• 7:28Speaker 04

  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

• 7:54Speaker 04

  was not a level playing field, as I described.

• 7:57Speaker 02

  What do you mean by not a level playing field? Do you mean the ability to sell in China specifically?

• 8:01Speaker 04

  Correct.

• 8:02Speaker 02

  Or is there something else?

• 8:02Speaker 04

  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. You know, 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 it, you know, it got increasingly competitive. So, you know, companies need to adapt.

• 8:47Speaker 04

  And ultimately, we were open to other strategies to enable us to continue to innovate, 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.

• 9:05Speaker 02

  We want to talk about the acquisition, but I have one more product question first.

• 9:09Speaker 04

  Sure.

• 9:10Speaker 02

  And I want to say like it's 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 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 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 leader, you guys didn't embrace LiDAR. And I'm curious what role you think that played

• 9:55Speaker 02

  in all this?

• 9:57Speaker 04

  You know, it's I'm entertained by the question. Because it's wrong. It was wrong then, it's wrong now. I mean, does your autonomous driving vehicle have a LiDAR on it? No. Why?

• 10:13Speaker 02

  Right.

• 10:13Speaker 04

  Because it is a dead end technology, which gives you no situational awareness.

• 10:20Speaker 02

  Wait, but Waymos have LiDARs on them. I mean, this is sort of the classic Waymo-Tesla sort of divide, sort of shrunk down to the household robot.

• 10:30Speaker 04

  Well, sure, then call it the RoboRoc 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.

• 11:12Speaker 04

  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 and other technologies. And so this was not a why did you fail to innovate? This was a strategy.

• 11:42Speaker 01

  Right, I guess I'm not contending that most consumers care whether their robot vacuum uses LiDAR or 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?

• 12:02Speaker 04

  Right.

• 12:03Speaker 01

  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?

• 12:33Speaker 04

  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.

• 12:54Speaker 01

  As in having a separate robot that mops the floors than the one that vacuums the floors?

• 12:58Speaker 04

  Yeah, we called it Scooba. And, you know, we 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 for the for mopping. I believe that the LiDAR people are still wrong. And I just wish we had moved faster and and had a longer runway before that because that led to a great place.

• 13:39Speaker 02

  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 like, you know, 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.

• 14:23Speaker 04

  Well, that's pretty easy. We got to a point where, for very good and understandable reasons, the market pressures and the competition led to an economic model where iRobot was finding itself pressured to innovate. And, you know, 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,

• 15:04Speaker 04

  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.

• 15:35Speaker 04

  Leadership in the consumer robot industry. And doing what the European Commission, 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?

• 16:17Speaker 01

  What was the, what was the rumor's market share in the US at the time? I'm just curious.

• 16:21Speaker 04

  I mean, it was hanging around 50%.

• 16:26Speaker 01

  Okay, so not, not like an overwhelming monopoly, but a dominant player in the market?

• 16:33Speaker 04

  No, and, 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.

• 16:52Speaker 01

  In your view, was the, the failure of the, 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, you know, a company on the rise that was, you know, sort of going to enable it to extend its dominance into another area?

• 17:20Speaker 04

  It would be impossible for me to believe that anything was missed.

• 17:27Speaker 04

  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? Uh, it wasn't ignorance.

• 18:08Speaker 02

  One concern that came up a lot at the time was, uh, 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, you know, 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?

• 18:49Speaker 04

  You know, I think that, uh, we, and to my knowledge, continue to have incredibly rigorous privacy and security. In fact, images never leave the Roomba. You know, 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, uh, level of cyber and security. You know, we were the first consumer product company to ever, uh, meet the requirements of,

• 19:33Speaker 04

  you know, sort of the gold standard in data security.

• 19:36Speaker 02

  So if it wasn't the privacy concerns that you think led the FTC to block this acquisition? Um, 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?

• 19:51Speaker 04

  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 Federal Trade Commission, with the Commissioner Lina Khan outspoken in her opposition of Big Tech,

• 20:36Speaker 04

  choose to take a position contrary to the formal charge of the FTC to protect the interests of the consumer? And answer it with your own gut?

• 20:50Speaker 02

  What is your own gut?

• 20:52Speaker 04

  I believe iRobot had nothing to do with the blocking of the deal with the FTC.

• 20:58Speaker 02

  That it was essentially just Lina Khan didn't want Amazon to get bigger and that was the end of the conversation?

• 21:04Speaker 04

  I believe iRobot was, this is Colin's personal view.

• 21:08Speaker 02

  Yeah.

• 21:09Speaker 04

  We were roadkill.

• 21:12Speaker 02

  Yeah, yeah. Well, so let's talk about, you know, 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 does your experience tell you about their likely path forward? And, you know, what concerns do you have about the future of American manufacturing?

• 21:39Speaker 04

  You know, 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.

• 22:22Speaker 04

  We, as a nation, need to decide what we want to have happen. Now, here we're sitting around with physical AI, humanoids. 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, you know, 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 lead?

• 23:06Speaker 04

  We need to reestablish confidence that the FTC's role is to prevent the abuses while catalyzing American competitiveness. You know, 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

• 23:44Speaker 04

  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.

• 24:12Speaker 02

  Well, Colin Engel, thanks so much for joining us.

• 24:14Speaker 04

  Great to be here and thank you for the conversation.

• 24:21Speaker 02

  When we come back, I predict that I crushed Kevin at last year's tech predictions. Let's talk about it.

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• 26:17Speaker 01

  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.

• 26:27Speaker 02

  Let's look at those balls.

• 26:28Speaker 01

  But before we talk about our predictions, we should make our disclosures. The New York Times Company is suing OpenAI and Microsoft over copyright violations related to the training of large language models.

• 26:36Speaker 02

  And my boyfriend works at Anthropic.

• 26:38Speaker 01

  So Casey, remind me what your predictions were last year.

• 26:42Speaker 02

  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.

• 26:56Speaker 01

  Right.

• 26:56Speaker 02

  And so let's dive into them.

• 26:58Speaker 01

  Yep.

• 26:58Speaker 02

  Well, last year, I said with high confidence, I think that in 2025, the AI culture war is going to begin.

• 27:06Speaker 01

  Yes, and you really nailed this one.

• 27:07Speaker 02

  Thank you. Yeah, I had basically predicted that we were going to see congressional hearings about the way that ChatGPT responds to certain questions and outrage about the way that LLMs respond with sort of, you know, 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, chatbot makers weren't being nice enough to him, that found that it was sort of ranking him

• 27:50Speaker 02

  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 did in fact happen.

• 28:00Speaker 01

  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 chatbots 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.

• 28:20Speaker 02

  Yeah, look at you. Look at me. What was your high confidence prediction? My high confidence prediction for 2025 was that a

• 28:26Speaker 01

  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.

• 28:57Speaker 02

  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.

• 29:03Speaker 01

  All right.

• 29:03Speaker 02

  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.

• 29:43Speaker 01

  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?

• 29:51Speaker 02

  How? Why not?

• 29:53Speaker 01

  There was no SNL sketch. That was your resolution criteria. And I would say, for the most part, like 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.

• 30:20Speaker 02

  Well, of course, there is more to come, but I think Waymo has become a household word in 2025.

• 30:24Speaker 01

  Okay, I'll let you have this one because I am a fair and generous co-host.

• 30:28Speaker 02

  Thank you. What was your medium confidence prediction?

• 30:30Speaker 01

  My medium confidence prediction for 2025 was that Apple would acquire Snap. And Casey? I did not get this one right.

• 30:37Speaker 02

  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.

• 31:03Speaker 01

  Yeah, yes, they were busy not building AI features. So this one will have to wait if it happens at all until next year.

• 31:11Speaker 02

  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.

• 31:21Speaker 01

  And Casey, did that happen?

• 31:22Speaker 02

  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.

• 31:38Speaker 01

  So if you listened to our predictions episode last year and then you went on to Polymarket or one of these other, you know, prediction market sites and you placed a large bet on the Casey Newton low confidence prediction, you made some money.

• 31:50Speaker 02

  You, I mean, I think arguably I did go three for three. And I'm told that possibly our producers have made a sound effect.

• 31:58Speaker 02

  Wow, look at that.

• 32:02Speaker 02

  Thank you. That was very satisfying. Yeah, this is a double edged sword because sometimes if you go three for three, it means that you were sort of, 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 merge by March of this year.

• 32:15Speaker 01

  Yeah, well, I give you a 2.5 out of three, which is still pretty good.

• 32:18Speaker 02

  Fair enough. All right, what was your low confidence?

• 32:19Speaker 01

  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.

• 32:29Speaker 02

  No, it doesn't.

• 32:30Speaker 01

  That was another miss for me and I'm told that our producers have also made a special sound effect for me.

• 32:42Speaker 02

  Okay. Sometimes when you swing for the fences, you do strike out.

• 32:48Speaker 01

  Yes, this was my low conference 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, incentivized 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 god had arrived.

• 33:32Speaker 02

  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.

• 33:51Speaker 01

  Yes.

• 33:52Speaker 02

  But does speak to the fact that, if nothing else, maybe we made some progress toward AGI this year.

• 33:57Speaker 01

  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.

• 34:15Speaker 02

  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.

• 34:24Speaker 01

  Nope.

• 34:24Speaker 02

  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 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.

• 35:08Speaker 02

  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.

• 35:28Speaker 01

  I like that. Do you think that, what would the sort of resolution criteria for this would be? Would it be five countries, 10 countries?

• 35:34Speaker 02

  Let's say five more countries enact under 16 bans of roughly the same shape as the Australia ban.

• 35:41Speaker 01

  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.

• 35:56Speaker 02

  Thank kids, this prediction market is not in roadblocks yet, but stay tuned.

• 36:00Speaker 01

  Yes, okay, I like that prediction. I, I agree that it is likelier to happen than not.

• 36:06Speaker 02

  Kevin, give me a high confidence prediction for 2026.

• 36:10Speaker 01

  My high confidence prediction for 2026 is that an AI company will solve one of the millennium prize problems.

• 36:18Speaker 02

  Tell us about the millennium prize problems.

• 36:20Speaker 01

  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.

• 36:42Speaker 02

  Hey, can you give me a little flavor of this? Because I did get a B in high school trigonometry.

• 36:48Speaker 01

  Yeah, so you're probably not a candidate for solving one of the millennium prize.

• 36:52Speaker 02

  I have chat GPT access.

• 36:55Speaker 01

  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 Mascap.

• 37:05Speaker 02

  Describe the motion of fluids? Dramatic, beautiful, inspiring.

• 37:10Speaker 01

  The Birch and Swinerton Dyer conjecture? Have you solved that one?

• 37:14Speaker 02

  No, I actually don't even have a conjecture about what it's about. So I'm really kind of at square one there.

• 37:19Speaker 01

  So basically, these are problems that are not just sort of hard computationally. They, 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, you know, buy you snacks in the micro kitchen.

• 37:51Speaker 02

  It gets you one meeting with their top AI researcher.

• 37:54Speaker 01

  Right, right. But it's more the principle of the thing, the idea of, 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.

• 38:18Speaker 02

  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.

• 38:28Speaker 01

  Yeah, well, I think if one of the AI companies doesn't do it, you should commit to doing it.

• 38:32Speaker 02

  You know what? I have a lot of time open in the back half of next year, so I might, might take a crack at it. All right, let's talk about our medium confidence predictions for 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.

• 38:53Speaker 01

  Ooh, I like this one.

• 38:54Speaker 02

  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,

• 39:39Speaker 02

  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.

• 39:46Speaker 01

  Right.

• 39:47Speaker 02

  And it will work. You know what I mean?

• 39:48Speaker 01

  Exactly.

• 39:49Speaker 02

  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 brakes when it comes to AI development. And Trump is basically giving them free rein to say, you write the policies that you want, including backing a moratorium on all state level AI legislation.

• 40:18Speaker 01

  Yeah, it does kind of feel like AI is polarizing in a very predictable way. You know, 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.

• 40:36Speaker 02

  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, right? So like that is the actual political opportunity here. And I just think you're going to see some Democrats sees it. And by the way, I also think you're going to see some Republicans sees it. And like 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.

• 40:59Speaker 01

  Hmm, 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?

• 41:10Speaker 02

  Let's say you see like three Democrats flip seats next year who espouse anti-AI sentiment in their campaigns.

• 41:20Speaker 01

  I like that.

• 41:22Speaker 01

  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.

• 41:38Speaker 02

  I think this is nano bananas. Why do you think this is true?

• 41:43Speaker 01

  So, here's my case for this. Number one, we have talked about on the show this year that AI slap, 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.

• 42:27Speaker 01

  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 Hassabis of DeepMind is very interested in having them win one of these awards, too. So...

• 43:05Speaker 02

  Yeah, I bet he is. It doesn't mean it's gonna happen. I'm also very interested in winning Best Picture, Kevin.

• 43:10Speaker 01

  I think you've got a chance at a Tony this year.

• 43:12Speaker 02

  Very nice of you to say. Look, this is not gonna 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. Back at the end of the year and say, huzzah, 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 like 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,

• 43:55Speaker 02

  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.

• 44:05Speaker 01

  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.

• 44:12Speaker 02

  And it is an honor just to be nominated.

• 44:15Speaker 01

  Okay, Casey, what is your low confidence prediction for 2026? Take a flyer.

• 44:19Speaker 02

  My low confidence prediction is that OpenAI 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 OpenAI'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 OpenAI 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 OpenAI. 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.

• 45:01Speaker 02

  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 Going to place the focus on chat GPT.

• 45:44Speaker 02

  I still think that OpenAI 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 a low confidence in 2026.

• 46:06Speaker 01

  And I think this one is a little crazy because I agree that it's possible that OpenAI 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.

• 46:43Speaker 02

  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. You know, it's going to be like, you know, 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.

• 47:02Speaker 01

  All right, my low confidence prediction for 2026 is that Apple will replace Tim Cook after his retirement with an outside CEO. Now, Casey, I'm 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.

• 47:24Speaker 02

  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?

• 47:30Speaker 01

  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 frontrunner for Cook's replacement. The Apple Senior Vice President of Hardware Engineering, John Turnus. And I think most people who are careful Apple watchers expect them to go with someone safe, someone you know, 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 you know, most of Apple's mojo has been coming from recently. But I think this is a company

• 48:11Speaker 01

  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.

• 48:44Speaker 02

  And who do you think that dark horse will be?

• 48:46Speaker 01

  Okay, I have three ideas.

• 48:47Speaker 02

  Okay.

• 48:48Speaker 01

  Again, not saying that any of these are likely.

• 48:50Speaker 02

  Don't say Katy Perry.

• 48:51Speaker 01

  Not Katy Perry.

• 48:52Speaker 02

  Okay.

• 48:52Speaker 01

  Number one, Johnny Ive.

• 48:55Speaker 02

  Okay.

• 48:55Speaker 01

  Johnny Ive, of course, longtime Apple design chief, worked hand in hand with Steve Jobs. If Apple were trying to convince the public and investors that it had, 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 Ive 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?

• 49:25Speaker 02

  Mm hmm. That's not going to happen. So who's number two?

• 49:28Speaker 01

  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.

• 50:05Speaker 02

  Well, I absolutely think he would do that job. And for this reason, who wants to run Airbnb? Oh, my gosh.

• 50:11Speaker 01

  Come on. No thanks.

• 50:13Speaker 02

  Yes.

• 50:14Speaker 01

  Okay, I have a third dark horse candidate. This is what this one, ooh, this one would be a real humdinger. And that is Mira Maroti. Mira Maroti, the former OpenAI 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.

• 50:58Speaker 02

  Hmm, interesting. I had 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, are they still up and running over there? So that's how I could see this happening.

• 51:15Speaker 01

  Okay, well, that's, that's why it's my low confidence prediction. But if this happens, I will be able to say, I told you so.

• 51:22Speaker 02

  Well, Kevin, as always, I appreciate you going way, way out on a limb with these predictions. And, you know, it's, and it's making me wish that I had, you know, 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.

• 51:40Speaker 01

  Well, that's why we do these predictions at confidence intervals. You're not, if you're batting a thousand, you're doing it wrong. That's true.

• 51:48Speaker 02

  But unfortunately, I am still batting a thousand. Anyways, what else is on the show?

• 51:52Speaker 01

  Okay, well, that's our predictions. And Casey, you wanted to make one more set of predictions.

• 51:57Speaker 02

  That's right.

• 51:57Speaker 01

  This year. Talk about that.

• 51:59Speaker 02

  So here's the thing. I imagine listeners may get to the end of the segment and say, okay, guys, you know, 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?

• 52:16Speaker 01

  Yeah, so this sort of separate category of AI bubble prediction, I think. 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, Anthropic, these sort of tent pole 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.

• 53:00Speaker 01

  I'm skeptical of some of these so-called Neo Clouds, the companies like CoreWeave that sort of exist to rent GPUs and other AI infrastructure to the big suppliers. I think they might, they might struggle in 2026. But I would be very surprised if we have sort of a, 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 Zenefits, like a company that sells

• 53:43Speaker 01

  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.

• 54:24Speaker 02

  I think that is a very sensible prediction. I think my views largely align with yours. I think at the end. 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, right? 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, you know, may not be able to figure out. And I wouldn't be surprised if we saw some big flameouts next year. Maybe some of the companies that you mentioned.

• 55:08Speaker 02

  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'd be interesting to see that happen.

• 55:17Speaker 01

  I'll make one more quick AI bubble prediction, which is that 2026 is the last year to buy a house in San Francisco.

• 55:25Speaker 01

  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 OpenAI go public. SpaceX may go public. Stripe may go public. There are sort of these other sort of 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.

• 55:59Speaker 01

  Well, that's enough predictions. Let's do a production. When we come back, our annual Christmas carol.

• 56:04Speaker 02

  The people demand it.

• 56:05Speaker 01

  What's the worst that could happen?

• 56:06Speaker 02

  Well, we could sing.

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• 58:14Speaker 01

  Well, Casey, the holidays are upon us. And as always, at this time of year, we have a special gift for our listeners.

• 58:23Speaker 02

  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.

• 58:36Speaker 01

  You hate this part of the episode, but I love it because it is our annual chance to break out our mellifluous singing voices and show our audience the Christmas spirit.

• 58:48Speaker 02

  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.

• 58:58Speaker 01

  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?

• 59:15Speaker 02

  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.

• 59:27Speaker 01

  Wow, I'm so impressed.

• 59:28Speaker 02

  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.

• 59:44Speaker 01

  I do, yes. And I'm being warned that this may cause seizures for some of our YouTube audience. So I'm gonna 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.

• 1:00:00Speaker 02

  The last thing we need is the seizure cancellation scandal to take us out into 2026.

• 1:00:08Speaker 01

  Okay, Casey, well, if you will indulge me in our annual caroling tradition, it is time for this year's rendition of A Hard Forkin' Christmas.

• 1:00:19Speaker 02

  And wait to say, if you heard it last year, it's not the same song. Things have changed. See if you can spot the differences.

• 1:00:26Speaker 01

  Your lyrics.

• 1:00:27Speaker 02

  Thank you, sir.

• 1:00:29Speaker 01

  Do you want to do some scales to warm up?

• 1:00:32Speaker 02

  No, let's just croak it out.

• 1:00:34Speaker 01

  Okay, who's gonna be the alpha and who's gonna be the glinda?

• 1:00:37Speaker 02

  You're definitely alpha.

• 1:00:39Speaker 01

  Okay. No, this is not a wicked thing. This is a Christmas classic, iconic. Families will be singing this around the hearth this year.

• 1:00:49Speaker 02

  Call that hearth fork.

• 1:00:50Speaker 01

  Oh, boy. So, Casey, let's close our laptops for the year and wish our listeners a happy holidays with a hard fork in Christmas.

• 1:01:01Speaker 02

  Let's do it.

• 1:01:07Speaker 03

  On a hard fork in Christmas, my true love gave to me A bot trained on all R.I.P. On a hard fork in Christmas, my true love gave to me Two robot pants and a bot trained on all R.I.P. On a hard fork in Christmas, my true love gave to me Three code reds, two robot pants, and a bot trained on all R.I.P. 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 R.I.P.

• 1:01:53Speaker 03

  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 R.I.P. 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 R.I.P. On a hard fork in Christmas, my true love gave to me

• 1:02:37Speaker 03

  Seven White House meme coins, six Roblox scandals, five bum bum creams! Four humane pins, three code reds, two robot pants, and a bot trained on all R.I.P. On a hard fork in Christmas, my true love gave to me Eight Mecha Hitlers, seven White House meme coins, six Roblox scandals, five bum bum creams!

• 1:03:08Speaker 03

  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 Hitler's, seven White House meme coins, 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 Hitler's, seven White House meme coins,

• 1:03:53Speaker 03

  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. Eleven chimpanzini's, ten signal war chats, nine meta reorgs, eight mecha Hitler's, seven White House meme coins, six Roblox scandals, five bum bum creams. Four humane pins, three code reds, two robot pants, and a bot trained on all our IP.

• 1:04:37Speaker 03

  On a hard fork in Christmas, my true love gave to me. Twelve AI bubbles, eleven chimpanzini's, ten signal war chats, nine meta reorgs, eight mecha Hitler's, seven White House meme coins, six Roblox scandals, five bum bum creams. Bum bum bum. Four humane pins, three code reds, two robot pants, and a bot trained on all our IP. That's intellectual property.

• 1:05:13Speaker 02

  Can Ezra Klein do that? I don't think so. Merry Christmas, you filthy animals.

• 1:05:20Speaker 03

  Merry Christmas. See you next year.

• 1:05:31Speaker 05

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

• 1:06:05Speaker 00

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• 1:06:37Speaker 08

  Ripple has been powering modern finance for a decade. It's not our first trip around the blockchain, and it won't be our last. We're leading the charge to bridge the gap between existing financial systems and the future of finance. You can have it all. Legacy, stability, and digital innovation. Systems that work with your other systems. Because with the right partner, the question isn't crypto or traditional finance. The question is simply, why choose? A new standard of modern finance. It's happening with Ripple. For informational purposes only. Availability of products can vary. Maybe provided by different Ripple entities.

• 1:07:12Speaker 01

  Hard Fork is produced by Whitney Jones and Rachel Cohn. We're edited by Jen Poyant. Today's show was fact-checked by Will Peichel and engineered by Chris Wood. Original music by Alicia Baetoupe, Diane Wong, and Dan Powell. And Casey Newton and Kevin Rus. Casey Newton and Kevin Rus, with an assist from Claude. Video production by Sawyer Roquet, Pat Gunther, Jake Nickel, and Chris Shuck. You can watch this full episode on YouTube at youtube.com/hardfork. Special thanks to Paula Schuman, Huiwing Tam, Dahlia Hadad, and the amazing team that helps us make this show every week. We hope you all get some time off and happy holidays.

• 1:07:54Speaker 01

  You can email us as always at [email protected].

• 1:07:59Speaker 02

  With what your true love brought you this holiday season.

• 1:08:03Speaker 01

  We'll have more next week. We have a couple of 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.

• 1:08:40Speaker 07

  It's time to innovate at the speed of AI without compromising control. That's Outsystems. Take a look at what happened with one global retailer during a period of massive expansion. They used Outsystems to build AI agents to automate invoicing and translation processes, shifting 95% of their daily store operations to a new digital app, saving thousands of hours of manual work. Outsystems gives you the flexibility to deploy how you want and the governance to do it safely. Own your agentic future. Learn more at outsystems.com/NYT. That's outsystems.com/NYT.