Kevin (2:26)

No, because I'm still thinking about a bipedal coffee pot. Like that would be like. Imagine like it's the best part of waking up is actually catching your cup. Like it would wake you up before

Gavin (2:39)

it would jump on you.

Kevin (2:40)

The caffeine? No, I'm saying it's running away from you.

Gavin (2:43)

Oh, so it's kind of like that robot alarm clock that used to spin away from you.

Kevin (2:47)

Yes. There we go. Like, I just need my cup of coffee. Oh, come on. Come back and it's spilling hot coffee all over your living room.

Gavin (2:54)

I would destroy that thing so fast. I would smash it. And the next day I'd be like, just give me Mr. Coffee again. I don't care, by the way, Mr. Coffee, if you're out there, I'm more than happy to work on you with this exact idea. So get in touch. We are looking for a new sponsor. Let's talk about. Let's talk about American AI. So, Kevin, there's a couple big videos that came out. There are videos, but they are videos showing off physical production plants for two American companies. 1x Robotics and Figure Robotics are both now having manufacturing lines of robotics. Now there's some pretty big news out of, like, how many they're going to make per year. Figure says they're going to make one an hour. That's what they're making now. In fact, they had a kind of a cool stat. If you watch their video, it's very inspiring. You see a new kind of industrial line that we haven't seen new American factories like this for a while, but they were making one per hour. It used to be one per day. So they're moving up. One X has said they're going to make 10,000 per year. Now, I want to hear your thoughts on this because you and I have been covering robotics here for a while. China obviously has a very large lead. We just saw the half marathon where a Chinese robot beat a human time in the half marathon. I want to hear your thoughts on this then. I'm very excited to talk about exo, which is another American robotics company. But first, let's talk about all this manufacturing that's coming back to America.

Kevin (4:09)

Yeah, I mean, great. We need it. We've needed it sorely. I'm sure that there is a room full of school children in Shenzhen or in one of the outside regions giggling about this amount of productivity because they've got some 3D printers and they're churning out 10x this capacity. But that's not to shake. Like, look where we are, where we are. We outsourced and shipped off a lot of our capabilities over the last few decades. And we're trying to bring that back. And so I think that's great. There's been A little bit of skepticism about some of the figure numbers. I saw, like, people saying, like, look, yeah, you could make X robots per hour, but that's assuming you're running 24 7. Are you running 24 7? 365. Are things changing there? Then again, I still think that the numbers should be celebrated.

Gavin (4:56)

Right? Yeah.

Kevin (4:57)

You pointed it out. They went from the one robot a day to one robot an hour. How much lower can that go as they optimize their lines and their throughput? I mean, amazing. We need it. Let's go.

Gavin (5:08)

I think that actually that's an important thing for everybody to understand here. Kind of is like, this idea of what physical AI is. And this is the thing that, like, Jensen Huang and all these people have been talking about for a while is this idea that all the AI models that we talk about right now are kind of locked in our computers or locked in the cloud. Right. And they're very smart. They're getting smarter all the time. But physical AI is taking those models and bringing them out into the real world. And in some ways, it's been successful so far, and in other ways, it's still in its very baby steps. I think this is a good transition to talk about what Wired magazine just recently called what they think it's Will Knight. He said, I've covered robots for years. This one is different. He believed Ekta's robotic claw. Feels like we are approaching a ChatGPT moment for the physical world. So, Kevin, I saw this video this morning, and the most impressive thing was, most of the time, these robot videos say, like, 1/10 or, like, slowed down. They're like, way slowed. Sorry. They're way sped. I'm sorry.

Kevin (6:01)

No, it's like 5x speed. It's like, look at how fast this thing is moving when we speed it up a hundred percent.

Gavin (6:06)

Exactly. And in this video of this robot grabbing a raspberry, which we were probably going to show in our video version a thousand times here. So just get ready. This video is slowed down. It's slowed down quite a bit because when you watch it full time, it's really impressive. So I want to hear your thoughts on exa. And another dude grips a raspberry like

Kevin (6:24)

me at a farmer's market. Before they can tell me that there's no free samples.

Gavin (6:28)

Well, that's better than. I got to go. I thought you were going to say grip something else, but I'm happy. Keep going here.

Kevin (6:33)

What, like chocolate before my dog gets to it in the kitchen. Gavin, is that what you were going

Gavin (6:37)

to say, that's exactly what I was thinking.

Kevin (6:38)

What did you have on deck?

Gavin (6:39)

But, oh, I had nothing on my mind. Just keep going, please.

Kevin (6:43)

No, so like the, yeah, the fact that they slow it down. Amazing. The fact that this thing was trained entirely in simulation, to me is, is one of the coolest things about this. So they've just got, they basically have like a, a highly detailed physical simulation of the world and they let this robot arm go and experiment and learn how to grip different things. I, I love it. Trying to grip the. Like the headphones. Yeah, it's kind of struggling with the spaghetti wire a little bit like that makes me giggle. But the notion that it can simulate this stuff, you know, thousands and millions of times over and then apply that to the real world and not have it completely destroy the raspberry as it goes to grip is just like that. That to me, that tickles me.

Gavin (7:26)

Well, and I think that's the important thing for people in our audience to realize, if you haven't been paying attention as much to the robotic side of AI, is that just like with AI models which learn over time get better over time, with big, bigger parameter models, they get better results. Often they're finding this with, with real world physical AI too. Right. Because what you said is the simulation training. Right. So they're training in these simulated environments. If you remember, like, I think it was not last year's Nvidia conference, but the one before. There's that video of all those robots that are in the kind of like square room when they're walking around and falling down. All of that stuff is happening all the time in these kind of robotic server brains. And they can push that directly into each one of these things. But until they get into the physical world, they're not exactly sure how it's going to work. So what's cool about seeing these EXA videos is that clearly we are now processing through to the next level of what this capability is. And I think one of the things I find really fascinating about this, and I'm curious to hear your thoughts on this, is about the speed at which this will grow. Because I think if three years ago you had told somebody, ChatGPT would now be a governmental, you know, essentially a huge government risk and maybe endanger the jobs of like, you know, millions and millions of people, they would have said, you are an idiot. And they did to us, Kevin. They said that multiple times to us back then.

Kevin (8:40)

They still haven't stopped. We might have been right about a couple of things, but they, but Looking

Gavin (8:45)

at this stuff now, I'm curious to think, like, project out two years, five years in the future for robotics AI. And kind of where do you see this stuff going? I mean, one of the things that's much harder about physical AI is manufacturing and the real world and the safety elements of it. Like, oh, there's a great creepy video that I saw from a Chinese company called Kai Robotics that you have to watch here while we're doing this. But it's a video of a little child who's in a nice house and there's this very charming, faceless, kind of buff robot kind of helping it out. And it makes me like, when I see that, I'm like, well, are they sure that safety of that robot is strong? So anyway, that's a long setup for. I'm just curious to hear kind of what your thoughts on, like, what we'll see in the next two to five years.

Kevin (9:30)

Well, that's a. It's like, look, the, the edge cases on these things can get deadly within a millisecond. And there's just no way around that. Like, I'm, I know that we, there will be certain safety systems implemented, but we're already seeing these early robots where they trip on something that's unexpected or, you know, one variable gets shipped in the wrong way and it goes full speed. One, you know, servo flips and like a robot arm or leg or torso spins around with enough force that it could totally brain you.

Gavin (10:03)

Yeah.

Kevin (10:04)

And you know, like, that's, that's, it's, it's funny in this isolated. In my Twitter timeline as I scroll sort of thing, but if that's in the living room and I'm, you know, I'm away and it's trying to, it's trying to do dishes and my dog is around, like, what is going to happen? That a mishap could get very bad very quickly.

Gavin (10:23)

I have a worse idea. What if the robot sees your dog screwing up your place and like, becomes buddies with your dog and then they together destroy your house? You could come home to much worse destruction. So that this is.

Kevin (10:34)

If a robot is mounting the pillows from my couch, I'm going to be very upset. That should not have been in the simulated environment.

Gavin (10:41)

Well, how dare you. Will, do not make that video. We don't want to see it. Don't make it. Hey, Will, go ahead.

Kevin (10:46)

Go ahead, Will. Let's see that video. What, what fascinates me is the idea of like the, the, the machines making the machine. We've already seen there's certain factories in China where this exists today. But, you know, we're, we're going to gun here as well. Like, once these robots get capable and dexterous enough to build themselves, the exponential there becomes very wild. And for home health care and elder care, for doing the dishes and the chores, for, you know, dangerous, you know, trade jobs, all that stuff is great. The elephant in the room, obviously, is military applications right now. Like, these robots just have to be good enough to hold a Nerf gun and be able to be made en masse. So it's like there is. There is a war for a very literal and figurative war happening, and we do need manufacturing capability to get there. Um, it just blows my mind to see how far we've come so quickly. But yeah, in five years time. Gavin, are you at a magnolia? Hi, Fi. Browsing robots for one to take home or do you. Is that 10 or 15 away?

Gavin (11:52)

I think in five years time, a robot is browsing me and saying, I want to take that person home and be in the robot.

Kevin (11:58)

Just for novelty. You're at a vintage shop.

Gavin (12:01)

Exactly. I'm in the humans. Please help us rush off. I do think in five years, I do want everybody to as just a kind of a point to think about. Remember what ChatGPT 2 or 3 look like. GPT 2 or 3. If you were in this space before ChatGPT and just how stilted and weird it felt. GPT 2 especially. That was like, you know, five years ago. So just think about from where we were then to now is a big deal. Although, Kevin, I did send you another video here. This is a video where it's gonna take a while, right? If you watch this video of this unitary robot at a big. It looks like a presentation in China where a lot of people are in their outfits. This reunion, she robot supposedly has struggled with the heat in the room, and it's just not doing very well as it tries to keep up with this parade of people.

Kevin (12:48)

No, this is me at the reception. Five beverages in trying to prove to my wife that I still got it. And she's. She's doing her best to get me back to the hotel, but I swear, no, no. Once they play Baja, man, it's over. I let these dogs out. Listen, the only thing that can contain a flailing robot like this is a cool AirPods esque case and the Neo carrying case that they're showing up. Yep, Gavin is folding himself.

Gavin (13:16)

Put me. Put me in there. Give me a coach.

Kevin (13:19)

You know what? I'm surprised this isn't Like a Japanese sleeping pod. Sort of trend right now is to just put yourself into the carrying case of sh. Shame. But it is really cool to think about, like, how these things are going to arrive or be delivered or checked onto a flight as we bring our robot servants with us.

Gavin (13:36)

Yeah. Can you imagine a carry on with that? Like, put the carry on in the. In the space, and you're like, what? My robot doesn't fit? What am I going to do, man? We should also chat about something really quickly that you mentioned was this idea of government and defense. And there is a big story that's kind of breaking right now around the Trump administration and the mythos model from Anthropic, which we know was kind of a point of contention. Well, Kevin, there's been some flip flop here, and there's a couple different versions of the story, but according to the Wall Street Journal, right now the wall. The White House is saying they are pushing back against the further rollout of the Mythos Anthropics Mythos model to more companies because they want more of the compute for themselves. So this is a really fascinating thing that there's a little bit of egg on face maybe on the. On the administration side, because the anthropic model clearly is being used by a lot of people, both for defense and for government use cases. I think this is going to get weirder before it gets less weird. Like, I really do think we're. We're kind of, with all we just talked about what the possibility of robots mean for both our government, our industry, our economy, and the world economy. We are really moving towards some sort of nationalization of AI And I don't think we have to spend that much time on this because it is a very deep subject. And I've been thinking about trying to do a deeper video about this because it does feel like something that's coming sooner rather than later. But again, Mythos, even though we don't have access to it, is making headlines behind the scenes. So this model does feel like it's something pretty big.

Kevin (14:59)

Well, it is. You know, if it were generating Shakespearean prose at a level unseen before, I don't know that so many nations would be or, you know, the government would be batting an eyelash. It's because it's specifically targeting cyber. And, you know, to that end, OpenAI doesn't want to be left out. So Sam Altman is, you know, the meme. He's. They don't even know. I do cyber as well. He's arriving to the party while everybody Else is dancing with Mythos. There's a new 5.5 model according to Sam Altman. He said we're Starting rollout of 5.5 Cyber, a Frontier Cybersecurity model to critical cyber defenders in the next few days. So he's.

Gavin (15:39)

He's getting there too.

Kevin (15:40)

Gavin.

Gavin (15:40)

He's there too.

Kevin (15:41)

Don't count him out.

Gavin (15:42)

We are going to talk more about the Goblins in just a second. But I do want to shout out one thing from grok because as OpenAI's work on cyber security, as Anthropic is working on Mythos and like whatever they're doing helping the government without us being able to use it, GROK has created an Imagine agent, Kevin, so that you can now make your videos in peace. You can sit there with the GROK AI and make something. So this is basically Grok Imagine has now integrated almost like a comfy UI style interface. You see a lot of these AI interfaces. But I do want to shout out very quickly I went and tried this and I used my compute for the best possible use case. I created a video of a jacked buff body guy who landed on an abandoned beach, found some, found some protein powder and then did this.

Kevin (16:33)

Yes, I found it. Come on, out you come.

Gavin (16:38)

Got it.

Kevin (16:38)

Beach gains are back on.

Gavin (16:40)

Beach games, baby.

Kevin (16:45)

Oh, wow.

Gavin (16:46)

Oh, wow is right. Okay, what are you seeing here?

Kevin (16:50)

Oh, boy. This is. I mean, it's like, you know, plenty of guys that used to. I knew I rolled with a lot of 16 year olds, Gavin, that would have this beater cars, like real, real beater cars held on with duct tape. But then they would go and put like, you know, thousands of dollars of afterglow, street effects or subwoofers in the trunk that would rattle the rusted lids. Just.

Gavin (17:16)

That's this guy.

Kevin (17:18)

It feels like they bolted on like some powerful agentic cools to a video model that is just from, you know. Well, so that's, that's 2021.

Gavin (17:25)

Well, that's what I want to say. Like by the way, Grok imagine doing very well in many different ways. But like this is a tool that supposedly allows you to kind of like create a video with an agentic tool. And it has agents in it. It spins up agents. It wasn't great. I'll share some of my kind of like generations here. I had to kind of stitch those videos together. It actually said it called ffmpg but then it couldn't figure out how to do it. So like there's this element of Grok Imagine right now where it's very powerful in some ways, but this tool feels a little under baked. I do want to shout out our friends at Glyph because Glyph is actually a company that's put together a lot of really good AI agent tools that do the same sort of thing and just know that like AI agent video tools are coming in a pretty big way. And this is just another example that Grok's putting their attention towards it. But I think it's a really interesting thing at least.

Kevin (18:11)

Yeah, look for those that just got the audio. Only in this video the main character, Mr. Gaines, is, you know, slams the protein powder into the sand and then unburies it. And then in the next scene he is doing two handed pull ups.

Gavin (18:27)

Well, the third hand holds his protein drink.

Kevin (18:30)

Well, in the first one the shaker bottle is pouring up into his mout mouth while he's doing chin ups. And then yes, there's a third hand coming out of his armpit, very old spicy. While he's doing some pull ups. And so that's when I go like, look, it's cool that they are, you know, iterating and giving you different tools to make these videos, but the core physics and world modeling and understanding of the underlying video model just feels so dated to me. I mean, you know, it's, it's fun.

Gavin (18:56)

It's fun and it's the beginning stage of something. You know, last week we mentioned this idea that Claude and Blender can now work together and actually Kevin, for this week's sponsor, I did some work with that. I'm about to do something I never thought was possible on a laptop computer. Vibe code, a playable 3D prototype while running Blender, a live preview and have 40 open tabs without crashing a single thing. We're so thankful to HP and Intel for sponsoring AI for humans this week and sending us this absolute beast of a PC. I've got cloud code running on this HP ZBook Fury and I'm going to make something special that I've been dreaming about for a while. A 3D game about raccoon gangsters. Here's the thing about Vibe coding. Cloud code is doing the heavy lifting on the AI side, but you also need a machine that can run the stuff you make. Right now I'm running multiple instances of cloud code in the terminal. It's refreshing. A live preview every time I push new code. Blender is open for the 3D assets and I've got a bunch of other tabs open that I'm just never going to close and on most laptops, that is where everything comes to an absolute stop. But the HP Fury has an Intel Core V9 Pro processor, which means that I'm not choosing between running my coding agent and doing everything else. And with the 256 gigabytes of RAM this computer has, nothing is fighting for resources when you're working with 3D rendering in real time previews, that's where the Nvidia RTX Pro 5000 Blackwell GPU comes into play. I'm previewing the game as Claude builds it. Every time I ship a new feature, I'll check it out. And the most fun part is that it's so much faster than any laptop I've personally ever used. Claude writes the code, I iterate, it pushes the code, we get a new 3D model. Some of them are better than others, but still. I got a version of raccoon gangsters in 3D running on my laptop. Check out the link in our description if you want to spec out your own ZBook fury. And thanks again to HP and Intel for sponsoring AI for humans. Everybody make sure to like and subscribe to our channel as well. We love you, you love us. We love you when you love us. And we do not get paid to do this channel. So please like and subscribe if you're watching this video. We really do appreciate that.

Kevin (20:49)

I mean, we did just technically get paid because we had a sponsor. Look, we don't. The point is it all one.

Gavin (20:54)

Here it is.

Kevin (20:55)

$1 goes in, $2 go out. That's the way we operate, baby. Exactly. So it's always at a loss, always be losing. Abl.

Gavin (21:03)

That's our business models. Always at a loss. All right, Kevin, we have to talk about goblins. And I never thought I would say that on this podcast. I'm very excited to say it on this podcast. But yeah, there is a share your sketches, Gavin.

Kevin (21:14)

People don't know this for decades. Gavin, he does a goblin a day.

Gavin (21:17)

He I have a goblin on my bag right now. In fact, AI is infested with goblins. And this is a very interesting story, actually. Underneath, on the surface, it looks like a weird thing. They'd be like, what the hell is OpenAI talking about goblins. To set the table here, OpenAI has come out and said, yes, we have a problem where ChatGPT mentions goblins too much. And this came from a post about a week ago where somebody was looking into the codex instructions, custom instructions, and saw something say, please don't mention goblins, as well as a bunch of other things and what they found there is

Kevin (21:51)

literally a prompt inside of Codex that said, quote, never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query. They are wasting tokens and context on every prompt to specifically tell their world class foundational model, stop talking about Goblins.

Gavin (22:17)

And what's so interesting about this is you think, okay, well, this is kind of a stupid story. Like, yeah, sure, stop talking about Goblins. But what was interesting about this is it really gets to the heart of how some of these models are trained, right? Because this appeared first in GPT 5.1. And this is very funny to me, but it's because of the nerdy setting. If you remember, in that GPT in 5.1, they allowed you to choose from different personalities, right? And in the nerdy setting, goblins would be mentioned every once in a while. And then it started to see interactions and different things. And then when each further model trained, because these models kind of train a little bit on each other, the Goblins kind of expanded and they started becoming a bigger part of the reactions and the responses to things. So this is what happens when you have a model that's kind of training across the way. Now Sam Altman has gone out and said, like, look, we understand this is a thing. It's kind of a goofy thing. You know, there's a. I have a conspiracy theory a little bit that, like, Sam is making his goblins into a much bigger thing to, like, distract from maybe some of the other stuff going on in OpenAI. But they did say that the next, like, GPT6, the next large, huge model will not mention Goblins as much. So you can feel safe that you no longer have to worry about Goblins appearing in your thing. Although I will say to me, I kind of think this is fun. Why not make AI fun? Maybe this is like, where we get to, like, AI being magic and suddenly goblins are everywhere. I mean, bring forth orcs and everybody else from the Lord of the Rings universe. Why not Dobby?

Kevin (23:36)

Bring Dobby. I mean, that's the funnier take on this is not that they're distracting from, like, lawsuits or government partnerships or that they're bleeding out from, you know, people switching to anthropic. It's way more fun to believe, like, their model got so powerful, it found the hidden connections and the goblins are everywhere.

Gavin (23:52)

Gavin, I cannot wait to dig further into that conspiracy theory. Goodbye weekend. Sorry, wife. We will now be Spending the rest of the time in there. All right, Kevin, I can't wait for this. This is very exciting. I've been waiting to do a version of this for a while. We are going to start a first ever AI For Humans award show, nominee by nominee. This may take us multiple years before this award show happens, but it is the AI Sloppies and

Kevin (24:21)

the AI Sloppies Awards.

Gavin (24:24)

Okay, Kevin, the first Sloppy award nominee of ever. It is.

Kevin (24:29)

Wait, is it? Hold on. Just so I understand the context of this bit. Yes, this is a nominee or they're winning. A sloppy or.

Gavin (24:36)

And no, no, no, they're not. They can't win yet. This is.

Kevin (24:38)

What's the judge panel for these sloppies?

Gavin (24:41)

I think it's probably just you and I. Maybe just me. We'll have to see how this goes. See what your attention plan is for this and my attention span is for this.

Kevin (24:48)

I'm already. I'm already in the weeds about the Sloppies itself and not the nominee.

Gavin (24:52)

You're in. You're in. Okay, so today's nominee. This is the first nominee. We'll have many more to come. Today's nominee is the Amazon AI podcast feature. And this is something I didn't know existed. Katie Natopoulos, who's a very funny poster on X, but also at other places, writes for Business Insider, used to write for BuzzFeed, brought this into my world. And what you can do now on Amazon for some particular products is there's a little button that will show up and it basically gives you a Google like AI podcast about that product. And let's play Katie's, which was about diaper rash. So let's hear this one. Diaper rash cream. Today, our AI Generated shopping show is exploring the Wellmadix rapid relief diaper rash cream.

Kevin (25:34)

By the way, what an unfortunate pronunciation of well, medics. Well, my dicks. Well, my dicks needs this rapid relief cream.

Gavin (25:45)

It's getting better. This sloppy is doing very well.

Kevin (25:47)

Okay, I'm playing that again.

Gavin (25:48)

AI Generated shopping show is exploring the Wellmadix rap. Okay, keep going. Emma, what makes this hospital grade cream different from standard diaper rash products? Wow, it's really interesting. This cream uses a dual action approach.

Kevin (26:12)

Just show. I mean, because I know Amazon's, like I said, huge shout out to the aws bedrock AI teams over there. But you know that huge work. They really are. But it just shows how great those Notebook LM voices are definitely trained to be far more conversational, but. Okay, I'm sorry, let's get back to the Wilma dick screen. Instead of just zinc oxide, it combines that with white petrolatum to create two protective barriers. This helps both treat existing irritation and

Gavin (26:43)

prevent new issues from developing. Okay, so let's pause this. Fascinating. So it's fascinating. It is true. It's fascinating. I wanted to go and see. Is this.

Kevin (26:52)

Is this what our podcast sounds like to our wives?

Gavin (26:54)

Yeah, it probably does. I think it probably works to our wives. Okay. I wanted to go and see what other things could do this and like, there's a few youth go and find and it wouldn't there. But like Kevin, I was like, okay, what would be the dumbest, weirdest thing to hear a podcast on? And without telling our listeners, I just want to play this clip that I created and I want everybody to listen to what AI can do now. Today, our AI generated shopping show is exploring the vaulted skulls realistic dog poop prank. Jake, what makes this particular gag gift stand out?

AI Generated Voice (27:25)

Well, it's all about the attention to detail in the design. At 4 inches long, it's sized perfectly for believability. The chunky texture and authentic brown coloring make it a real showstopper. And I mean that quite literally when people spot it.

Gavin (27:39)

Oh, my, oh, my. And how are people typically using this unique item?

Kevin (27:43)

Yeah, great. Please.

AI Generated Voice (27:44)

You know, it's become a go to for office pranks and party gags. The material is really durable, so pranksters can use it repeatedly according to customer feedback. The realistic appearance is a huge hit, though some mention wishing it had a more authentic scent.

Kevin (27:58)

Oh, what? Who mentions that? Keep going, keep going, keep going.

Gavin (28:03)

Right?

Kevin (28:03)

Okay.

Gavin (28:04)

Yeah, I suppose that's good. What makes this different from other prank items?

AI Generated Voice (28:08)

Versatility really sets it apart. Unlike whoopee cushions or fake spiders that are obviously gags, this can be used in so many creative ways, from Halloween decorations to theatrical props.

Gavin (28:20)

Interesting.

AI Generated Voice (28:20)

Plus, it's super easy to clean with just a damp towel.

Gavin (28:24)

Who would you say this isn't right for?

AI Generated Voice (28:26)

You know, if someone prefers more sophisticated humor or works in a very formal environment, they might want to look at different prank options.

Gavin (28:35)

If you.

AI Generated Voice (28:35)

This definitely falls into the classic shock value category of humor.

Gavin (28:39)

Okay. If you work in a more sophisticated work environment or have a more sophisticated sense of humor, you might want to look for a different podcast. Everybody, I'm sorry, but it is a sloppy nominee.

Kevin (28:49)

Kevin, we have less water on the planet because you clicked that button.

Gavin (28:54)

Gavin, I feel very proud. I would put $100 on the table right now to make that.

Kevin (28:59)

I know you are.

Gavin (29:00)

All right, everybody, we will see you next week. Thank you so much for watching. This is AI For Humans. Sloppies out.