← AI For Humans: Weekly AI News, Tools & Trends
AI For Humans: Weekly AI News, Tools & Trends
Spotify Goes AI. People Will Be Furious. Plus, OpenAI Cracks An 80-Year Math Problem.
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- [00:00]
A
Fun fact, not a single person hates AI generated music. And this is something Spotify knows, which is why they've done a deal to bring AI to their platform.
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You'll be able to use certain artists, voices and tracks to create fan remixes. But who will actually sign up for this is a very big question.
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Meanwhile, Google, Omni Seed dance and other AI video generators have enabled a $500,000 feature film to premiere at Cannes.
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B
But the crazy thing is that $400,000 of that is just compute costs.
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A
All right, Fin, guess traditional media can die. At least AI isn't messing with my sweet foundational mathematics.
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B
Oh, great news, Kevin. OpenAI just solved an 80 year old mathematic problem with just AI.
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A
You know what they're never going to solve? The Hyman hypothesis.
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B
That one's hard, Kevin. That's not what it's called. But this is AI for Humans.
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A
What have I been looking up?
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B
Nothing good, Kevin. Nothing good.
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A
We need deeper research.
- [00:54]
B
No we don't. No we don't. Welcome everybody. This is AI for Humans, your twice a week guide to the wonderful world of AI And Kevin. Today we have an unusual story coming out of Spotify. Of all places. Spotify is making the move. They are pushing forward the AI media conversation significantly. We haven't done a deep dive on AI music for a while.
- [01:19]
A
Maybe did someone discover the AI for Humans podcast from like two and a half years ago?
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B
They might have. They might have also seen the growth in Suno, the most popular AI music platform. But let's just get very quickly into the deal. We know that there is a deal that was done with Spotify and umg. And if you remember, if you've been listening to the show for a while, UMG is the company that got a significant portion of Udio, which was Suno's original kind of like competitor and now is a label, half owned AI music platform. But Kevin, the deal here is the biggest deal. It's not out yet, but they are going to allow fan made remixes of artist songs. And I can imagine there is a lot of people in the world of music who are pretty mad about this. There's probably a lot of people in the AI space who are interested in this, but in general I think it's a pretty cool thing.
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A
We've, we've been new as those children say, Gavin. We, we identified that there would be a market for this, that there'd be incredible interest for this. You and I were, were making songs on our own using authorized and otherwise tools. We're certainly not alone in that. There are people that have entire accounts and brands dedicated to this stuff. So we knew it was coming. Certainly someone is sharpening a pitchfork somewhere right now. And at least it's opt in. So artists literally have to express their interest in being involved with the program. What I struggle with is that it mentions like, this could be a great revenue stream for the artists and of course the labels and the distributors, which will get a piece as well. But it doesn't mention anything for the creator just yet, other than the creator might have to subscribe to use that tool on top of their Spotify premium. That seems interesting.
- [03:00]
B
Well, so I think this is a really interesting pathway into what AI Media is going to be at large and maybe we can talk about that kind of larger conversation in a second. We should just very quickly say there are four principles that the Spotify group has said that they are going to kind of abide by. And this is not live yet. We'll get into a couple other announcements Spotify made with AI in a second. But the four principles are partnerships with labels, distributors and publishers. So this is a business deal. This is something they're doing as a real business choice in participation, which I think we need to spend some time on, which means that the artist themselves has to say, checkbox, I agree to this. Fair compensation and new revenue. And then finally an artist fan connection, which is the idea that maybe this would drive a closer connection to an artist. But Kev, I do want to talk about that artist participation part because I think this is a really big conversation right now. And we've also talked about the general pushback on AI at large. Right. There's a ton of stories out there that say people are not fans of AI in general right now. My question to you is, do you think actual, like living artists? Because I think there will be a lot of like, you know, Elvis Presley's estate allows this. But do you think there will be a lot of living artists that agree
- [04:07]
A
to do this 100%? I absolutely do. There will be some that, that are violently opposed to it and some will make very loud claims that they're against it and try to, you know, rile their fan bases accordingly. But I think there were artists, as we know, very prominent ones that were against digital downloads and streaming. Right. And then. And maybe some of that was because the profit sharing or revenue sharing was non existent, let alone not in their favor at the time. Like, okay, that I get slightly different argument. But there's always been a push and pull with technology. There were artists that, that said I will never allow digital instruments on my records or I'll never sample because that's theft or whatever. So, like, over time, I think more will adopt it. Your thoughts?
- [04:49]
B
Well, I think in general, you're going to see a lot of, what do they call it, Grandstanding in some ways. And I don't necessarily think that's a bad thing. I think a lot of artists are just going to be like, my fans are going to hate this. I'm never going to do this. It seems like a mistake for me to do. I think we're in that place right now where it could be like a massive PR flub for the first person to do it. I do think people will do it. I think the thing I keep coming Back to with AI music involves the 90s and the sampling culture. And I think we've talked about this on the show a little bit, but I was a giant fan of 90s sampling music. I grew up in the era where, like, hip hop could basically sample everything. One of my favorite hip hop groups of all time is De La Soul, whose music wasn't allowed to be online for a long time because some of the samples weren't cleared. And there's just the amount of money it took to clear a sample was crazy. In fact, my favorite story in that world is that, you know, P. Diddy, who now has gone on to an entirely different life in a different place, but he gave all of the music rights up to Sting for one of his hits because it sampled a big chunk of his song. So sampling was originally this thing where everybody was mad about it and then ended up paying a lot of artists, especially older artists whose music was sampled for, like, old jazz artists and stuff. So I do think there's a world where we can work through this thing. I don't love the label aspect of this only because, you know, the music industry is famously, in fact, going back to old hip hop.
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A
Predatory.
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B
It's been a thing forever that is predatory. So I'm not sure that I love the labels doing this, but it does feel like an evolution of what we've been talking about.
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A
One thing that you said there, which is interesting, is that I agree with the grandstanding. That's what I mean about artists like planting a flag and screaming from the mountaintops. Never with my likeness or rights. And I do Chapel Ron.
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B
I probably guess chaperone will not allow this. People like that who have very active fan bases, who I think would get very mad about this stuff.
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A
Well, this is what I think is interesting, is that Certainly there's going to be some artists, capital A artists that say, no, I don't want that. I think the, I think. I don't want to say a majority, but there's going to be a large portion of artists that might be really interested and curious in this but won't do it because of the fans explicitly. They might actually want that. But they're so concerned about the backlash from the fans, which I get. Like I've been showing up to commencement speeches, just randomly going from college to college.
- [07:03]
B
Is that right?
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A
Anytime there's an AI mentioned. Yeah, it's just, it's fun. It's fun to be toxic sometimes. But you talk about like this could be again with a, with maybe with the labels being slightly less greedy somehow in the future this could be a big revenue opportunity for artists. Right. A chance for fans to connect more. I wish the fans got a chance to get a taste of that, which is something that I've said that they should do. Especially if the fans have to pay for the privilege to remix. Which. Okay, but not everybody is happy about AI Music when it comes to monetization. In fact, Suno is being sued right now, Gavin, by Poseidon Wave Media, which is an entity that, that is behind an indie band that I really love called the American Dollar. And they're claiming that they nearly eliminated their licensing revenue sooner.
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B
Wow.
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Basically crushed it. They're saying that that's here. The full lawsuit basically says. And this is an article out ofMusic
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business worldwide.web is my favorite website of all time. I go to it every day.
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It's just so fun to say. It rolls off the tongue. It's how I do vocal warmups for our podcast. But when I go world wide web.net the full thing, it covers 236 sound recordings and compositions across 164 US copyright registrations. They're basically saying that since Suno ingested their copywritten tracks, 80% of the the duo's licensing revenue has been wiped out. Like it's, it's a night and day thing.
- [08:32]
B
So I have a question about that, which is. And I think this is going to be a big conversation across all these things going forward. Is that like there then that that lawsuit essentially is about the training data that went in and that because the training data went in that they somehow have lost revenue. I guess the question is like the hardest thing for these things always to prove is does the actual output sound like their music or is it just because there's this kind of flood of new Stuff that sounds close enough to their music that they use it. That's. I mean this is where. Super valid question.
- [09:01]
A
Yeah, super valid question. Like I have used. Personally I've used 11 labs music and sound effects generators instead of going to like certain libraries because specific thing that I want. So I know that, you know, it's not because. Well, maybe it is because some of my favorite sound libraries have been swept into the 11 Labs machine. I don't know. I don't know how dirty the data set with SUNO is. But it does say the complaint claims that outputs replicated the rhythmic structure, production and delay based temporal architecture of the original. And by the way, if you're like an American dollar nerd, like you understand how that describes their music. I'm one of those guys. Yeah. But it says queries referencing anything you synthesize, which is a super popular song by the group everybody should listen to. Said it produced recordings with titles that are near it and it shared the same structure. So interesting. Was it in their secret sauce? I guess we're going to find out through the lawsuit.
- [09:57]
B
Well, what's so funny to me is we've talked about these companies and the lawsuits and like they do seem to like some of these are bubbling up now. And I think that now Spotify is doing this deal. This is going to come to the forefront. A couple of quick things about Spotify's announcements. This one, they've also announced personal podcasts. So Kevin, they're coming after us. They're coming after us. If you're listening to us, just know, bring it. We're here for you.
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A
You can't replicate, can't get us personally. Listen here, you mother.
- [10:22]
B
Yes.
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A
You don't have the. That's our audience. Okay. You could build. No, I'm talking Spotify.
- [10:28]
B
No, it's Spotify.
- [10:29]
A
Unless Spotify. Unless you want to like sponsor this podcast and put us. Of course, I take it back. I'll help build a data center so that you can rip this off.
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B
Let's tell people with personal podcasts is this idea that you could collect things that you want to hear about. Right. Whether it's an article or stuff like this. Other companies have been doing this. NotebookLM is kind of doing this, but this is Spotify putting it in your feeds. That's a bigger deal. This also comes out of studio for Spotify which is going to be a standalone app which will enable a lot of these AI features. And it's an add on. So it is not a free add on. It's going to Be part of the actual cost addition to your Spotify ticket. So another. I love it. Sounds great.
- [11:06]
A
Oh, I love it. I can't wait till Spotify builds me custom recipes. It helps me automate my smart home. I hate this Spotify. That's what I'm saying. Like enough, enough. I don't need direct payments. I don't need a Spotify avatar to wear the latest Spotify threads to give me Spotify achievements. Enough like they already charge too much. When all this slop starts charging $15 more so I can get an extra Notebook LLM podcast about whatever. I can't wait. Give me a reason to like Apple music. Oh yeah, plus that disco ball icon.
- [11:38]
B
Hey, wait, wait. We talked about them as sponsor. Relax, relax, relax, relax. Remember? Oh, Spotify might eventually want to answer. Might eventually want to sponsor you know what? So keep that in mind.
- [11:48]
A
That's valid. You know what? Their aidj is great.
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B
Great, fantastic. And the jam session, amazing. Okay, real quick before we move on, there's another big story coming up, but I do want to share this chart that's really interesting. And it was from. Shared From Mark Porter McGee who I think probably stole it from somewhere. We'll try, we'll try to see if we can find it somewhere. This just shows the impact of AI. It says in four charts and the four charts are more books, more self represented lawsuits, more music, more scientific papers. What it basically shows is that after ChatGPT and after this sort of explosion of AI stuff, that we were just getting more of everything. And we've talked about this before, a huge part of the future of media is going to be more. And how do you kind of discern what comes to you? And will people care this stuff is AI generated or not? And I think that's a big thing.
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A
And more doesn't necessarily mean better.
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B
No, it can mean way worse by any stretch.
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A
Yeah, I think it's proving way worse with like books and whatnot. But it would be interesting. Can we also get a chart where we see where Brian Johnson's like nocturnal erections have grown? I'm curious. Has affected all. Look, data is everywhere, Gavin. I bet we can get it. I bet we can get it.
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B
Another thing that kind of points to this kind of crazy media space is this announcement from Higgs Field. Now, Higgs Field we've talked about on the show for a while. They're a company that provides a lot of AI models. They have brought a full length movie to Cannes this year. And if you're not familiar, Cannes is a big Film festival. They brought a movie that is called Hellgrind.
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Gavin hellgrind is a 95 minute, fully AI generated film.
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Yeah. So I thought there would be a
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cooler description of it in the title of the Wall Street Journal article, but there's not.
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B
So Hellgrind is this film that like higs feel kind of like organized and put together with a bunch of AI artists. And they brought this thing, it's 95 minutes. It's all generated by AI. The interesting thing here is that Higgs Field is very good at making pr and that's clearly what this is. The Wall Street Journal wrote a long piece about it, but of that $500,000, $400,000 was on compute. So that's the cost to pay out to like say Sea Dance or to an Omni model or all this other stuff. Kevin I think that's really interesting to think about what that means if this is a feature length movie and say, I don't think no one knows if this is good or not. We haven't seen it. But like, imagine a world where you can start making feature length movies for $500,000. Now there's all sorts of like guilt and all that other sort of issues. But we're also going to get a lot more movies, right? We're going to get a lot more movies and a lot of probably bad movies. But as you and I were both raised on the kind of direct to video or the VHS model where there's all these movies that like, maybe didn't do well in the movie theater, but you saw them on TV or you see them in a movie store, it will be really interesting to see what movies get made in this world and like, which ones people will respond to. I think.
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Yeah, I mean, are you going to watch it? I mean, that's the definitely watch it.
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The question.
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So curious.
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That's the question, right? Like, and I think that's the big question everybody's going to have is would I actually pay to go get a ticket for this? Would I would, would Netflix or any of the streaming services pay for it? Because I think that's where the question will really be. Sure. I mean, by the way, I watch it as a curious person who's interested in AI stuff. But like, if it's good, I think I would watch it. I mean, you know me, I have very low tolerance. I have a very low tolerance for AI slop at large. Like, I enjoy watching sloppy stuff. But if this is good and it's interesting, then of course I think people will watch It. But again, it goes back to that thing of like, who's paying for it? Who's making the money? These are the kind of, like, swirling questions around AI media that I don't think we have solved or even coming kind of close to solving yet.
- [15:19]
A
I'm going to send you this here, Gavin, because, you know, when people talk about AI sloth and how the machines will never replace human ingenuity, and it's just, it's, it's nonsense and we would never have that. Do you want to, you want to share with the audience the link that you just got sent by.
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B
Kevin just sent me the link for the movie that's called Balls up and it stars Mark Wahlberg. You may have heard about this on Amazon. The tagline for this is in this raunchy, over the top comedy, marketing executives Brad, Mark Wahlberg and Elijah Paul Walter Hauser go Balls out and pitch a full coverage condom sponsorship with the World Cup. So, yes, Kevin, this is kind of a sloppy movie on its own for no pun intended there. But like, it is definitely something that feels like it could have come out of Charlie Curran's brain, which we've seen him do this. Amazing.
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A
Here's the thing, like, exactly, exactly. You could have made the trailer for this with Mark Wahlberg. Sasha Borat is in the movie. Gavin, you could have released it on X. You could have seen the way people recoiled and you could have saved a lot of time and money.
- [16:20]
B
So there you go. AI Slop is alive. In regular Slop is also alive. I do want to quickly shout out, before we move on from AI video stuff, the Omni model. The Google Omni model, which we covered on the show on Wednesday, is fantastic. It's super fun. There's been a lot of people who've been kind of up and down on it. I will say, personally, I don't think it tops the Sea Dance 2 model just from a pure video model. But, Kevin, the coolest thing I've continued to do with this and people are out there doing with it is editing videos. And I do just want to share a couple really interesting examples of the editing prowess of what this can do. AI Warper, who's been doing some incredible videos lately, basically added his avatar or her avatar. I'm not really sure what, where AI Warper puts themselves on these on the spectrum. But there's a female avatar and you see the female avatar riding a horse that they added directly to this video of a horse riding around, which is very cool. Ethelfr, who works at Google now Continues to do interesting videos with this. He made a panda dog, which I really loved, and a bunch of other animals.
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Did you see I don't know if you saw Rooster. Rooster Dog?
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B
Oh, no, I don't know if I did see Rooster Dog.
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A
So if you haven't seen Rooster Dog, it's worth a special shout out. The way that it gets the tail wag and motion of the dog walk combined with the roosters sort of jutting head movements, that's, that's, that's actually pretty impressive.
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B
That is amazing. That's amazing to see. A couple other quick ones here. Nick Matrice actually showed off what it can do in terms of like just taking stuff out of a scene. He cleaned up an alley, which was really a cool thing to see because basically he got rid of a couple pallets and a bunch of garbage in the alley. And this is a really useful thing if you're going to be doing edits, if you're going to. Even, by the way, if you're not generating all of it with AI video. You can imagine a world where a quick shot replacement thing is a really big deal here, like for normal video editors. The final one I want to shout is this, is this video from Alex Petroski, which is kind of a follow up on some of the stuff I saw the Google team sharing, where you're actually adding something to a real life scene. And this is four people on stage at Google I O and an ogre walks out behind and just seeing the shadows that the ogre casts on the wall, you can just get a sense of like, we are very close to this stuff. Feeling like things you could see in a movie or you could watch a whole movie of.
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So it's a pretty big deal, 100%. And then make it, you know, near real time, because that's going to come, right? And put it in glasses. And now suddenly the Magic Leap demos that we loved, what, 50 years ago, they could actually be real. So I think that's, that's really impressive. But on the other end of the impressive spectrum, Gavin, we've got the US Department of Education.
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B
Did you see this poster? Yes. I don't know why the government, with all of its ability to do things, doesn't at least kind of turn up the knob on the thinking mode a little bit. But this is a poster that was released as a way to get people to kind of try to do plumbing jobs. And it's the worst possible version of what plumbers both look like, but also what they're working on, like This I would not hire these plumbers because they have put too many pipes on this sink. There's way too many things going on.
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Yes, all the tools are completely broken. I mean, at least they have an appropriate number of fingers, I suppose. But outside of that, everything is just pure slop. That is. It was gross and embarrassing, Gavin. That's all.
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B
You know what? It's also okay to try a bunch of different things. And one of the greatest ways, Kevin, to try a bunch of different things, especially locally, is to have a great computer that can do all sorts of stuff locally for you. Just like this. Most laptops make you choose. You can edit video, you can run an AI agent, or you can have 40 tabs open. The HP ZBook Fury has a completely different idea, which is why are you choosing it all? Just do everything. Huge thanks to HP and Intel for sponsoring AI for humans this week and lending us this absurdly powerful machine. Look how big it is. So here's what I tried. On one session on one laptop, I cut an episode of AI for Humans in my video editor. I had Claude Code running a side project. In another window, I ran a local Quin 3.8B model in the background for research. I generated thumbnail options in comfy UI and I had a blender window open prototyping a 3D set and nothing stuttered. The Intel Core Ultra 9V Pro processor is doing the real heavy lifting here. It's the reason that multiple AI workflows can be running side by side without the machine throwing a tantrum. And the Nvidia RTX Pro Blackwell GPU eats 3D rendering and image gen for breakfast. And with the 256 gigabytes of RAM, that means I can just keep piling stuff on and the laptop just kind of shrugs. Which is fantastic because it's freed up enough time for me to generate what I've been most excited about, which is a virtual raccoon watching app. It tracks virtual raccoons, it rates Internet the their behaviors. It alerts me when one of them is doing something especially troubling. I built it while doing literally everything else that I mentioned. That is the point when a machine is as capable, you stop pruning your ideas to fit the hardware. There are some ideas that should be pruned. That's the ZBook Fury. It can do whatever you were going to do today, plus all the dumb side quests you actually want to do at the same time. Check out the link in our description to spec out your own Z Book Fury. And thank you to HP and Intel for sponsoring AI for humans. All right, Kevin, the other thing we need people to do is like, and subscribe. We had a really fun show last week. People hyped us up, so keep hyping us. We actually. Did we hit the hype charts. Is that what I heard? That was like a thing that somebody told us, right?
- [21:21]
A
We literally. Well, we got a text from Will, shout out Will, who's cutting this right now? Big Wheel. You can do a drop for that if you want, by the way. Well, I don't know. By the way, we don't call you Big Will and text threads behind your back.
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B
We're going to now, but we're gonna
- [21:34]
A
start, so shout out to Big Wheel, who said, hey, your video was actually hyped into my timeline this morning. So y' all are just a delightful legion. And we appreciate your support because we're. We're winning hearts and eyeballs and taking over screens one device at a time. So thank you for the comments, the likes, the five star reviews, and that sweet algo juice.
- [21:55]
B
That's right, juice us up, baby. All right, Kevin, there is a giant story that is very nerdy that I do think is really important to make sure that everybody listens to us. But also you can spread out further because we actually have had all these models get released and we're always talking about the benchmark boys and all that stuff and what it can do. But at the edge, at the frontier, what these models are starting to be able to do is pretty incredible. And this is a story that OpenAI dropped yesterday. My favorite thing is there's a video that kind of went along with this of these three mathematicians who work at OpenAI just being like, I can't believe it did this, but it basically solved an 80 year old math problem that previously had not been solved. This is specifically, I'm going to say the headline of their blog post because it's very nerdy. A OpenAI model has disproved a central conjecture in discrete geometry. And this is one of those Erdos problems that people have talked about for a while that some of these are getting better at. But the big thing here is that in the past, it has kind of helped the scientists or the mathematicians get to an answer. The big thing here is that it got to the answer on its own. And Kevin, I know that this, like, we're a show that tries to disseminate this world for the masses and kind of help people understand how. Would you kind of like tell the normal person why this is a big Deal.
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A
Well, if you let, if you let P be a finite set of different points in a two dimensional plane, then you define V as the number of unordered pairs of points. Oh, AI LLMs, large language models. Your chatbot people have screamed it's a stochastic parrot.
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B
Yes.
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A
That means it just takes statistics, rummages around and spits out words. It just parrots things. It doesn't actually know what it is doing or solving. Well, this is kind of one of those signals where it is. It is. Maybe it is a stochastic parrot, but it's. It hasn't heard Polly wanting this specific cracker before.
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B
Yes, that's exactly. That's very good.
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A
Using logic to solve something. And again, if means P is a set of points in that flat 2D plane, then the means pick any two different points from P and don't counter order. So parenthetically, P Q is the same as P comma space.
- [24:12]
B
Okay, I'm not going to check that math, but I'm just going to assume you're right. Let's just very quickly hear from Gnome Brown who was the guy who's at OpenAI that's working on some of this stuff. I want to just shout out his tweet. He said, today we're sharing a general purpose internal OpenAI model achieved a breakthrough with one of the best known combinatorial geometry problems less than one year ago. Frontier AI models were IMO gold level performance. That's a big kind of test to see how they can do. I expect this pace to continue. And then he continued on and said, this is a general purpose LLM. It wasn't targeted at this problem or even at mathematics. It was not a scaffold. So the important thing to know about this is they did not create a model specifically to solve this problem. So one of the things that people always talk about with AI is like what Demis Isabis did when the AlphaGo was a very specific model designed to play Go and it was still crazy that it was able to make. I think it was move 52 or there was a specific move where it took this big leap and it showed off. Oh, maybe you can do this stuff. This is the kind of model that eventually you will get access to. Some people are saying this is GPT 5.6. It might be a bigger model than that. But yeah, this is the kind of opening of the door to AI solving the bigger issues. And when I say bigger issues, it's things like fusion, cancer, all of these things that are the large promises that AI has had for a while. We are finally starting to see glimpses of that coming through, which is very exciting and also kind of scary, right? It's kind of scary because it just means that, like, this is going to change. Everything is going to change. I've had a couple existential moments after reading this. I was like, I don't know if we're ready for what this. What comes from this. Like, I don't know what it means. So that's the, that's the thing I'm coming out of this with. I don't know what it means for the world for the next five to
- [25:50]
A
10 years, but let's go. Let's go. I mean, honestly, like, as exciting as it is to discuss, like, lawsuits over the tsunami of reggae tone Taylor Swift covers that are going to be, you know, unleashed on Spotify and that, oh yeah, you can generate bears riding skateboards, but it's going to destroy Hollywood. Like, yes, there are serious questions and whatnot, but, like, the promised future was. Was maglev vehicles and teleportation and eradication of all human disease and extending our lifelines. Like, let's go. Like, I do agree with Demos, who was like, I wish we would have solved cancer before we did. Like, chatbots. Yeah, this. This is the kind of signal that we need. And I know, unfortunately, human beings, fallible as they are and imperfect as they are, they will wield these capabilities to do a lot of really terrible things. But I really, I really hope this signal to the noise is a lot of positive stuff and solving complex math and helping us out with our science and. I'm sorry, you got. Are you hearing the Taylor Swift reggaeton cover right now? Because.
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B
No, but I'm sure it's.
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A
I'm sure we would be copyright flagged anyways. Yeah, we'd be copyright flagged.
- [26:55]
B
I do want to shout out before we go, if you want something on the other side of this platform, there's an amazing video that we'll just show here that's been traveling around the Internet. It's gotten bigger than everywhere, of a unitary robot attempting very much to try to dance to Billie Jean. We won't also play that, but please find this video, if you haven't seen already. It's another one of our favorite videos of just, you know, we're not there yet. Kevin the robot is there trying to dance. It falls down, goes on its side, and it's just like another good example of the long gap that we have to get to this amazing future. We've all been promised. Before we leave, I want to shout out Ben Rellis, a friend of ours. He's got a new company that's launching. I'm doing a little bit of work with him on it, but also very excited for him. He's launching a new company called Make Believe and we will see you all next week.
- [27:35]
A
Gavin, wait, hold on. You can't just say that. Insider trade me, daddy. How do I play this on Polymarket?
- [27:40]
B
You got. There is no what's going on with the company. It is a. It is a startup around AI media and AI interactive avatars really is what Ben's working on more than anything else. But really cool, interesting stuff he's doing. He's been working with Reid Hoffman for a long time and worked on, they called Read AI, which Reid was a very specific interactive avatar. Anyway, it's going to be a cool thing, I think, going forward to have more people that are smart and good and have experience in the AI media space. So look for more from Ben as it comes along.
- [28:09]
A
Okay, so let me connect my wallet. So is it like they're going to release the first movie by.
- [28:16]
B
All right, bye, everyone. All right, bye, everybody.