A (3:02)

Sorry, I'm hitting my, my Amazon branded bamboo tissue nerd alert button. Dude, we are talking about something that is so insane that you and I both thought it was fake that the clips aren't real and you went into like the resolution.

B (3:16)

Sorry, you're right, you're right, you're right. Let's show some stuff. Let's show some stuff. To start with, let's. Let's talk about the Seinfeld test because honestly, this is the first clip I saw. This was a clip that Jimmy Apples put up. And if you know inside baseball, Jimmy Apples is kind of this guy that's been an insider in the AI space for a while. He's. No one really knows who he is. He posted this clip of a Seinfeld show. And really what it is is Kramer talking to. Looks like a Jerry. Fake Jerry, bad Jerry. But what I found out later is that Jimmy Apples was trying to make that Chandler from Friends who it looks a little bit more like.

A (3:48)

Yeah, that's what I say. It looks like Chandler meets Jerry Seinfeld.

B (3:52)

Yeah, yeah. So let's just play this clip, Kevin, and let's see what people think. You were on Epstein Island. What were you doing? How could you.

A (4:02)

Ah, come on, Jerry. You know I can't talk about that.

B (4:06)

What? It's a savel.

A (4:09)

Hey, did you hear about the new place on 5th? They've got a great chicken salad.

B (4:13)

Okay, okay, so a couple things there.

A (4:15)

Yeah, the simlish. What a say. Sangle aside. For those that are getting the audio version, Gavin, let's walk through how like stunning this clip is actually is.

B (4:23)

Let's start with the audio version because the audio version is the part that's shocking to me when you just listen to that. That is Jerry Seinfeld's voice and Michael Richards voice. Those are not fake voices. And that is not something that were generated within the thing itself. Those are coming out through the model, which is shocking to me. So that first and foremost. And we're going to talk all about the IP rights and all sorts of things. And will it get nerfed? Probably. We'll talk about that in a bit.

A (4:48)

But.

B (4:48)

But yes, go ahead.

A (4:49)

I'm impatiently raising my hand. When you said it's shocking to you. Is it shocking because they are able to do it or is it shocking because they're just so brazenly weapons free with the copyright and the voices? It's the latter.

B (5:00)

It's the latter. And I will say once I start, and we're going to get to some of the stuff that I generated, which is kind of as shocking. People have told me that they really believe that ByteDance will, will pull this back, that this was not meant to come out like this, that this was not meant to be generated. But, But, Kevin, before we move on from Seinfeld, I do want to show one more clip. This is from. It's Spoita man. And this is a showing Jerry and George getting into a fight. So let's just play that real quick for people too. Kevin. I got. I got knocked into a different video recording system. How crazy is that?

A (5:38)

Oh, that's how powerful Seed Dance is.

B (5:39)

That's how powerful Seed Dance is. So anyway, what I want to talk about there is. We can just like briefly sit on that. So there's. If you're not watching it, just to be clear, what you're seeing is a pretty significant recreation of the Seinfeld set. The second clip shows Jerry being Kung Fu kicked through a fake wall. Someone even pointed out in the clip, you see that it's a fake sitcom looking wall. This system, it's clear, has so much video recorded in it. Like so much testing video. And it just, it blows you away when you see it. And it does remind me again of when SORA launched the first time.

A (6:15)

I'll quickly point out some things that, like, were very funny to me. Like there's like weird doors that lead to nowhere in this clip. There's a fridge in the living room. When he gets kicked through a door, there's a door right next to him. This is like five years ago when we complained that the AI image of the horse wearing a hat looked like he had hair coming out of the hat. Like, this will get solved. But the, the physics, the camera work, the audio to your point, the sound design, the laughing that if you watch when he gets, when he gets kicked through the door, there's a panel of light switches on the wall that sort of dangle and then break off like the, the, the smoke, the dust, the timing of it all, it really is incredible. I, I, it has totally blurred the line between whenever a new video model would come out.

B (7:03)

Gav.

A (7:03)

There was a deluge of posts of like, I just one shotted this and someone would post a clip from like an Avengers movie and you would go like, ahaha. But now people are posting Avengers clips that are fake and I think they're real and I know we're going to get to some of those, but I just want to say, like you mentioned earlier, like, maybe they didn't want it to get out in this, in this position. I, I have to believe this is the new playbook because we've seen it from Google and we've seen it from OpenAI. You release the tool full power, so everybody recoils and goes, oh my God, look what they got. And then you slowly walk it back until it's a little more calm and you're not going to be sued out of existence.

B (7:38)

Yeah. So we should just quickly talk about all that stuff that we've seen. First of all, there's an amazing clip of Wolverine versus Thanos. That's that clearly somebody mentioned like, might have been taken directly. The training felt like that is the Wolverine from Deadpool 2. Or sorry, Deadpool vs Wolverine. The crazier Avengers 1 is this one from Endgame, which is from Christopher Friant and he, he generated this. And basically it is the scene from Endgame where all the Avengers walk up and then Thanos tries to say something like I'm sorry, maybe we can play this real quick. And you know, I hope none of this stuff gets us flagged, but let's play this one and just talk about it. I'm sorry. Oh hell no. He killed like a bajillion people.

A (8:25)

That is, that is Thanos apologizing, Spider man saying no way. And all of the Avengers curb stomping Thanos out of existence. I, if, if you did not know this model exists and if this was posted by something else, you might think that this was an outtake or a deleted scene or something else. I mean, there's obviously a few hints with the way some of the characters look and whatnot, but the dramatic score, the camera cuts, the, the movement, the. Everything just, it looks legit. Gavin.

B (8:53)

Yeah, so there's a couple other quick things. We showed The Tom Cruise vs Brad Pitt video in the intro. There's an Ethan Hunt vs. John Wick video, which is pretty incredible to watch. And like they clearly have the faces of Tom Cruise and Brad Pitt. And the Brad Pitt clip again, those sound like their voices. So there's a lot of training that's going on here. But I do want to talk about like let's. Let's dive into like kind of what's interesting about this and my test on it, right? Because I was able to follow a couple rabbit holes and. And find somebody who shared a link that basically said hey, if you go to like what essentially is this? This open site it existed and bytedance runs it. It's like their AI studio version. You can go there and you can generate these for free right now and is no longer available. But for a while they had this opening to C Dream 2.0. I got a chance to create about 12 clips, right. So I uploaded them. It was so hammered. That stuff wasn't coming out very fast. But I want to walk through kind of my learnings with it, what was interesting about it and kind of figure out so. So the first and foremost thing I want to talk about. Let's go to the open animation, original animation style. So I wanted to see. Before I got into the IP stuff I wanted to see kind of like what it would do versus say a cling 3.0. So I created this still. I think I made it in nanobanana Pro. It's like a picture of a guy looking back at a rocket. I actually used it as a graphic for a post I wrote this week. And then I created a second frame of this woman talking to the same guy, right? And this idea being that like you had to kind of upload a first frame and a last frame to get it right. So if you play this, you'll see let's play it with the audio so people can kind of understand what's going on and then we'll describe it.

A (10:26)

We can't just abandon everything because you're too afraid to leave this dying rock.

B (10:36)

Okay, so you hear that? A little over the top. That was my first experience. A little over top. Acting wise. But what's cool about this is I didn't say anything specific about it. I just, I mean I said like they get into an argument, the woman slaps the man and then she walks away. What's cool about this video, again, if you're just listening, is that it zooms in. There's a moment of zoom in. There's also an understanding of kind of like, oh, this is an animation thing. It's almost like that style, it knows kind of the style to go for Right. But I do want to play.

A (11:04)

Kiv.

B (11:04)

A lot of people have talked about cling 3.0. We talked about it last week. Kevin. I want to show the exact same prompt with the exact same in and out still with cling 3.0, just to get a sense of how different this is.

A (11:17)

We are leaving this dying world behind

B (11:22)

and you are too weak to survive out there.

A (11:25)

Don't you dare. The.

B (11:28)

The.

A (11:28)

The new version that Gavin rendered in Seed Dance, the raindrops are animating and falling off of the people. There's a cut in there. The camera cuts dramatically for a slap the walk away. The audio quality doesn't sound like they're in a weird like sound recording studio or like a weird warehouse. Like everything better, of course.

B (11:46)

And cling 3.0 is a state of the art model as of last week. So it just goes to show you how far advanced this is versus that. Now again, remember, ByteDance is the company that owns TikTok. And we talk a little bit about the idea of training data. That is a lot of video that that TikTok has to train on. And Cling is not the same sort of size and it is not the same sort of thing. Okay, quickly, a couple other things I did. Kevin, you probably remember our audience. Maybe there's new people or not. They may not remember. About a year and a half ago, I made a McDonald's ad on spec using Luma Labs as model at the time, using Midjourney for stills, using a bunch of stuff. It took me a while. Now I say a while, it still took me like three hours. Right? So in AI terms, that's still not that long. Took me a while. I took the two, two of the stills from that video and I just said basically, make me a McDonald's ad about a Galactic McDonald's. I uploaded it to Seed Dance. What's cool about Seed Dance too is there's a magic setting on time where it will just pick a time based on what it thinks is the best choice. So in this instance, it only made a 5 second ad. But watch this ad and just kind of take a look at it. At McDonald's, we believe in serving everyone.

A (12:52)

No matter where you're from, y' all

B (12:53)

come and see us, you hear? So just again, if you're only listening, what it had done in this instance is I gave it a kind of shot of the outside of a Galactic McDonald's and the in shot of that character at the end. And it created three other aliens in the middle. It cut a zoom cut from the intro to these other aliens, it spaced it time wise out and it knew what would make the most compelling five seconds. So that is the underneath thing that's going on. That's just really fascinating.

A (13:22)

Yeah. When Sora came out, we talked about like all the behind the scenes magic, the wizardry of the prompting that is cutting these, these scenes, choosing the camera angles and the, the pacing of everything. It apparently is not a unique magic. Looking at this video here, the octopus character that's simultaneously slurping two milkshakes at once by the way, is adorable. I also love the plastic domes that you would get on a, like a milkshake something but on a glass container. Like I, I still love the little misfires and missteps. I know people love to point at that and go, oh, these machines are so dumb. Like that to me is kind of adorable. And we're going to long for this time. Just like we will long for original Will Smith eating spaghetti in maybe six months when these things are perfect.

B (14:06)

Yeah. And we're not that far away. So. So one other thing before we get onto some of the funnier things. I did was I did. I wanted to do a test with anime because a lot of people talk about. There's a lot of people sharing anime clips. So I took an intro and an outro still and I created three different animations of the same movement. And basically I said make the woman ask the character in the shadows to like come out. He says something and she comes out again. So let's just play one of these and you'll get a sense there's three of them and our editor will play all three of them. So you can kind of see the different variations, but the same prompt, same stills. This is what I got.

A (14:40)

I know you're there. Show yourself. Oh, but I am out here. Cut the crap and face me.

B (14:52)

So again, no real hardcore prompting there. That was a two line prompt. Very straightforward. I didn't say what kind of voice the character should have. You can hear that weird creepy music playing in the background. That's what I'm saying.

A (15:05)

The cinematic tension of the music, the click clack of the footsteps, the cut to a shadowy figure in like the doorway or the hallway delivering the thing. And then the cut to the anime character's face showing like intense emotion. Yes. Along with that, all Unprompted is. Is wild. And when Elon is on stage, which happened recently, saying that. I mean really, when he's on stage saying, well, it's his team is on stage, I should say saying that Grok will be able to make 15 to 20 something minute long episodes of things with a basic prompt. You see how that could be not only possible by the end of this year, but watchable.

B (15:41)

The last thing I want to say before we dive into like our kind of analysis of what this is, is I also then just. I asked it kind of in the same way with the Seinfeld thing. I asked it to create a Game of Friends sitcom where my prompt was really like, make Game of Thrones but using Friends. So what was interesting about this is if you, if you. There's two clips to this. The first one really is when we should listen to. Just play it and you'll kind of understand what's different here. I need your counsel hand. What's the best way to deal with someone who's really getting on my nerves? Well, your majesty, a true hand must be decisive. You must show them who's boss. It's the hand's way. So explain what people saw, Kevin.

A (16:22)

If they're just listening to that, I mean, it is.

B (16:25)

I need a council hand.

A (16:27)

Neil Patrick Harris. Ish character sitting on the throne, talking to. Is it. Who's that guy?

B (16:32)

The guy from Supposed to be Joey. It's supposed to be Joey Funky. But the voice is.

A (16:36)

Say it's Joey from Friends mixed with an impractical joker. I think mixed with the brother from Everybody Loves Raymond. Like that's, that's who that is. But he's sitting on his game of Game of Thrones. His, his Sword of Thrones. His. I didn't watch Game of Thrones, Gavin.

B (16:52)

But he's sitting on the.

A (16:55)

He's sitting on the throne. I know that because Comic Con, of course, and totally a nerd.

B (17:03)

Huge, huge alarm bells going off. Not the nerd. You faked it the whole time, Kevin. Everybody's in the nose now.

A (17:09)

Yeah, I love space wards with the space wars with the laser swords. It's my favorite thing. Go, go Luke and Yoda. Yeah. But there. Anyway, Neil Patrick Harris is sitting on the Game of Thrones throne chit chatting with. With an amalgamation of several like sitcom characters. But they are just having a conversation. And you can hear the leather, you can hear the metal. You almost feel like you're in the sound stage of this sitcom.

B (17:34)

And again, so that one, I actually prompted it to be Joey and Chandler. So for some random reason it chose to put Neil Patrick Harris, who is in another very famous sitcom, How I Met yout Mother, into that role again. His voice, Joey's voice. Those are real voices. I Didn't upload the voices. So in case you're out there wondering, like, everybody's faking these things right now. No, this is not fake. They have access to all these voices. And if I were a Hollywood lawyer, I would be freaking out right now. And finally, before we move into our little analysis so we can talk more about that. Kevin, the second of these last videos was the one that I feel like was the most crazy to me. And again, I generated this. This is Rocky Balboa and Optimus prime working in a fast food restaurant together.

A (18:25)

I swear, these customers remind me of the Quintatons.

B (18:32)

So first of all, I. Here's my nerd card might get revoked because I don't know. Is Quintatons an actual Transformers reference? If you're out there, please let us know.

A (18:39)

But you know what, Gavin? I can't. I can't hold your hand. It's not my job to explain you and guide you through.

B (18:44)

Yeah, we'll see you at David Buster next week. We'll see you at Dave Buster. But how crazy is that one? I mean, it is Sylvester Stallone wearing boxing gloves. What I love about that one. Again, if you're not watching, please go check these clips out on the YouTube where Optimus prime kind of, like, leans

A (19:00)

in at the back and the car door or his. Like, his little doors flap up. There's, like, emotion in this thing, and it just. Yeah, I was. I was transfixed. Where's this going to go? Yeah, it's no. Like, it's no longer slop. No, I mean, well, there's plenty of slop there. People are making slop on purpose. Some people are making slop because they just don't know how to prompt it better. But, like, incapable hands, where you take time. We're. We're. We're post slop here if you want to be.

B (19:31)

Well, so let's talk about the two big implications of this one. I think the first and foremost one is, like, obviously, I think a lot of lawyers in Hollywood, a lot of stars are waking up seeing these clips and being like, what is going on here? Right. In the same way they had probably when SORA launched. But SORA did give stars a heads up ahead of time. So you didn't see a lot of these actual physical people or voices in the Sora eclipse. Right. You saw a lot of ip, but not this. Second of all. So that's a huge thing.

A (19:55)

Right.

B (19:55)

I think we're gonna have to see Does Seed dance? And it's a Chinese company. It is TikTok but do they pull this back? And from what I've heard in the past, Seed Dance has been pretty careful about this stuff, so they very well may nerf this. This might be something where only the early stage stuff gets out and they're gonna not allow this to happen. But because it is a Chinese company versus an American company like OpenAI, the conversations are different, right? Because if I were. I'm not saying, please don't. This is. Okay, first of all, I'm going to say. I'm not going to say if I were, because if I say that, it's going to get clipped out. So I'm saying that not. You leave this in. Will leave it all in. I don't want anybody to think that I'm. That I'm cutting around this. But if in a Chinese company, if you were looking at a way to have a giant leg up on an American company and you really wanted to push those buttons, this would be an easy way to do it. Because you and I both know clips like this travel much further than original clips, right? Because everybody's like, oh, my God, they put the Hulk into Gordon Ramsay's bucket and now they're stirring each other's throat.

A (20:56)

Are we allowed to announce that you're the head of comms for Higgs Field? Are we allowed to discuss that?

B (21:00)

No, you're not allowed to talk about that, Kevin. It's under wraps. It's under. I'm not. Everybody be clear. I am not. I do not work at Higgs Field anyway. So that's a big deal. I think we're going to see how that plays out. But Kevin, the bigger deal, I think. And pj, Ace friend of the show, wrote an interesting post about this, which is the idea that, like, Sea Dance 2 will open the door to lots more people. And I think the key of his post was it is no longer going to be about being clever about what you create and that the real thing that's going to happen going forward with AI Video is you're going to have to have an original idea. You're going to have to have something that you can string together. You're going to have to know how to write, you're going to have to know how to edit well, because the level of just knowing how to prompt something, now we're getting to pass. It's not going to matter, right? You're not going to need to know how to prompt a specific set of angles. You're not going to need to know how to prompt certain things. Like last Week on the show, we talked about my experience with cling3, and I am like, okay, at AI video. Clearly better than the vast majority of the world, but not when you compare me to AI video experts. And that was a struggle a little bit, right? Like, trying to make sure that I could get it to do the things that I wanted it to do. This is not. This is not a struggle. Like, I can see a world where if I can have, like, say, that original animation, if I can upload three images of the three characters in my thing, and I say, this is the style I want to keep it, I could definitely string together 50 clips and 30 of those could be good, and I could make a short very fast. And that feels like the next generation of AI video that is going to shock people about how quickly things can be turned out.

A (22:27)

What do you say to the. The boom operator out there?

B (22:32)

Yeah, for sure. No, I mean, this is a big deal. This is a. This is a really important thing for anybody who is a creative or a person that works in Hollywood. I don't know what you say to them, and I think that's me being as honest as I possibly can. The answer would be, is, like, you're a boom operator and you love the. I've known many boom operators. I've known many, like, studio audio apps. I've known many studio camera people in my life, and they are amazing, hardworking people. I don't know where you go from here in those roles. Right, Like. Or there will be. There will be organic studios, I'm sure, eventually.

A (23:07)

And still.

B (23:08)

But there are going to be a lot less of them, and people have to be prepared for that.

A (23:13)

I was just having this discussion with someone yesterday who is very much, like, uncertain of what is going on, but very much loves film and loves the art of filmmaking. And it was sort of like, well, you know, the. The consolation was, well, maybe it'll go like the way of vinyl, which is it. It still exists. But I, you know, the. The already small piece of the pie shrinks a little bit more. And yeah, if you. If you like the art of the process, if you like. I was gonna say if you like the art because of the process and the process itself is what you love. There might be less of that process, but there might be a far greater appreciation for said process. But, yeah, I similarly, like, I don't. I don't. It no longer can it be like, well, don't worry. No, no, there's a capital F. Film is still there. It's. It. Because, yeah, it is, but there's going to be less opportunity for people to make that type of content. However, if you are a boom up by any other profession, not to, like, pick on boom operators, but like, by. By any other profession, if you're in it because you love film and filmmaking, it's a different tool, it's a different technique, it's a different pipeline. But now you can execute far beyond building the boom pole.

B (24:26)

Yeah. Your opportunity to be the creator is much larger than it ever was before. And that's the trade off here in some ways. So we are going to talk a little bit later about some of the conversation around just AI at large and how broad it's getting. But it's.

A (24:40)

I am like completely detached right now, Gavin, and like arm's length away from reality because I'm also. I'm done. I'm done with it. I have to.

B (24:49)

You're done? You're done.

A (24:51)

It's unhealthy, Kevin.

B (24:51)

Don't. Don't be done until we tell people to give us likes and subscribes. We can't be done yet.

A (24:57)

Oh, I'm sorry. Sorry. Point of clarity, point of clarity. I'm done. I'm done with it now because I need to shift my focus to engaging and helping out the AI for humans brand now.

B (25:07)

That's what you're talking about. So here we go, everybody. That's right. It's a week. That's the time of the week, every week where we ask you to like and subscribe to our show. I do want to say to everybody out there who is trying to struggle with this idea of where Hollywood goes from here. There are opportunities, like Kevin said, like that boom operator can become a creator now. I think we are going to see the next two to five years change in a significant way, bigger than Hollywood or entertainment or creator economy, whatever you want to say. Video has changed since then. The thing I was saying to my wife yesterday, though, I think is interesting, is weirdly, I think this, and I don't mean this podcast, I mean you and I, humans talking to each other and then talking to an audience is going to be part of the human experience for a long time. Humans want to hear from humans. They want to hear thoughts from humans. And I am, like, not a big fan of like the digital twin startups. If you don't know what a digital twin is, it's this idea where, you know, somebody says, I can make a clone of myself and I can just create an AI version. That way I'll never have to do video Or I'll never have to do anything. I can just make tons of videos. To me, when I find out somebody's doing that, I'm kind of like nonplussed by it because, like, hey, just take the time to do it yourself. And I think that sort of thing will rise human to human contact. So to your point about the guy who's the boom op, like, there will still be people wanting to make films, but opportunities are much larger than just making a student film. And there might be ways that you have a film in your head that you could make and that feels like an interesting time.

A (26:36)

Look, we are equal parts giddy about all the things and excited for the tech and whatever else. We also are very well aware of the downsides and the potential, like, I don't know, elimination of not only all jobs, but how about human beings as a species?

B (26:50)

Yeah.

A (26:50)

So I don't want to be like this podcast. We get, we get glib at time because that's the, that's our tone when we excitedly discuss this stuff. But do you think it, we said a while ago, and maybe it's nihilistic, but we're like, well, there's no stopping it. There's no stopping it. Data center is going to be built big.

B (27:07)

Oh, are you a doomer now?

A (27:10)

No, no, no, no, no, no, no. Well, maybe, maybe, I'm sure. But, but like we've said that there's, there's no stopping it. So get on board. Embrace it, adopt it. I don't think that that's like the worst advice, but some would say that that's, that's, that's weak. That is, that's not inspiring that if we, if we banded together to say, no, no, no, not now, not ever.

B (27:32)

Right.

A (27:33)

We actually could stop it. Do you, do you think about that? Because I think about that from time to time of like, okay, if it really starts to go, we pull the lever. And, and maybe this is because I have been target marketed and programmed by all of the, all of the media, which is still owned by eight people that want to build the data centers. But I kind of feel like, no, you're not going to stop it. You're just not going to stop it. They're going to. Yeah, you might stop it. You might slow it down for Hollywood, but it's still coming for drones and Skynet eventually. Like, I don't know, is that, does it, does that even track?

B (28:02)

I think the one thing that's really interesting about Seed Dance particularly and the things we're about to talk about is that it is Chinese. And I think that the Chinese model aspect of this is going to give fodder to the world at large to continue building out this process. Because one of the things that there's been a story around this for a long time, and this conversation went from this kind of like, smaller thing to a much larger thing, but is that if China continues building and they have no stop and their. Maybe their IP laws are different, all these other sort of things, we, if we do not continue to build, we get behind. Right? And I think that is a justification. Whether or not it is right. I don't know. Dario and Dario Mode from Anthropic and Demis Asabas were on the Davos stage not that long ago. And they both said, like, look, if it were up to us, we would slow down right now. But it's not. It's up to, like, there's another person in this mix, Sam Altman, but also China, right? And China is pushing forward fast, and it becomes a big, giant conversation around national security. And I will encourage everybody who listens to this podcast or watches us is to go reread AI 2027. We'll drop a link in the show. Notes. This is a very kind of like, bombastic, long, almost like, essay post that two people put together about a year, a year and a half ago now. I wouldn't reread it this week. And one of the things that's so fascinating about it is they've been tracking how that kind of times out because they make a lot of predictions in that post. And we're pretty much on track, maybe a little bit behind where they thought they were, But a big part of it is how quickly this expands out to this larger geopolitical conversation. And that's the weird, mucky middle that we're in right now, right? And now we're seeing it, it's starting to feel like it's coming around. It's just. I don't know the answer to it. All I can tell you is it's happening. Which is a weird thing to say. Like, it's a weird thing to say. Like, I don't know if it's good or bad. I just know that it's happening and that's where we're sitting.

A (29:56)

Well, hey, new GLM5.

B (29:58)

Wait, no.

A (29:59)

What? Oh, no. We would like and subscribe.

B (30:01)

First of all, Ken, we gotta talk about us, this show. The most important thing happening right now, in this moment is that you like and subscribe. Subscribe to this video if you're here if you didn't get too depressed. If your finger can't move, please screech that finger up a little further to your like and subscribe button. Also, if you feel like you want to drop us a few bucks to try these things, you can go to our Patreon. We've had a couple fun new Patreon members join, which is very exciting. It's always nice to hear from our audience. You can also check out our Discord. We're pretty active in the Discord and obviously on Twitter as well too. Oh, one last thing. I did write about both Seed Dance and this idea of, like, how everything's moving so fast in the AI for Humans newsletter, which you can find at aiforhumans.beehive.com or on our website at aiforhumans show. Please go subscribe. It's getting quite an audience now, which is kind of fun for me and I've enjoyed writing it every week. So feel free to message us if you want to see us talk about something else.

A (30:53)

It's a good read.

B (30:54)

Oh, it's a good read. But Kevin, you know what else is good? What else is interesting, buddy?

A (30:59)

What? We're talking about benchmarks for GLM5.

B (31:02)

Time to talking about benchmarks, baby.

A (31:04)

It's a Benchmark Benchmark Boys, where you at? Play my Benchmark Boys theme song. If someone wants to make the Benchmark Boys theme song on Suno, please do.

B (31:13)

Let's give Will a shot. Will, what's we'll give us a Benchmark Boys intro right now. Watch that leaderboard rise with a benchmark voice.

A (31:23)

Turn the test up loud. Check the charts. Make the damn proud.

B (31:28)

Right? Will, I just gave you extra work. Hopefully that was good. Audience. Tell them if it was good or not. Will, our editor. So Kevin, first of all, the reason why all these Chinese models drop right now. You know, our audience may not know this. I think you probably do Chinese New Year's New Year. In fact, it's starting soon. So Chinese New Year. These Chinese models kind of work towards this time because a lot of people in China have time off. They're able to do stuff. So there are two big new models from Chinese companies. The first one comes from Z AI and this is GLM5. GLM5 and Kev, this is a really interesting thing because it is a big new open source model, but it actually beats Claude Opus 4. Five on a fair amount of these benchmarks. Now you can go use this. I haven't played around with it a crazy amount so far, but there was a very interesting post that the company put out, which I don't. Did you see this? Basically, they did a long creative prompt where they were going to. One of the things they talk about with this GLM5 is that it can do long work, right. And agentic work. Sometimes you want to send it away and it'll come back. They did this very cool thing where they ask it to emulate a Game Boy, but not just emulate a Game Boy. Like do a lot of really interesting visual stuff on the screen. And if you're looking at this like it is crazy impressive. So this is again one of the Chinese models that came out. And it's just showing you that not only are we making progress here, but these Chinese models are making a lot of progress between this and Sea Dance and other stuff. And you know, we had the Deep Seq moment about a year ago, right? That was when Deep Seek first came out. This is starting to feel like the next deep seat moment is brewing. Now Maybe the American AIs are going to jump and go ahead further, which they could, but for right now, this is a big deal.

A (33:10)

Sorry, I. I was going to say hot off the presses, we got a new seed dance clip. And I was going to. I was just going to play it.

B (33:22)

If this is your first shift at Waffle House, you have to fight. Okay, So I have a question, dude.

A (33:39)

I would watch this Waffle House fight Club movie. The the power of a good prompt and cutting a few clips together right now you can, you could storyboard something amazing or even pilot an idea for a bit that you have.

B (33:51)

Like, hey, before we move off of this, like one thing, I just was on this guy's twitter handle to @Charlie B. Curran and what he has right below that is interesting is the best part of Sea Dance 2 is that's coming to Cap Cut. So every 12 year old in America is about to have the superpower on their phone, which is. That is the interesting thing when you talk about distribution versus that. You know, Sora had to create a whole new social network in order to do this and get people to come back to this place. This is TikTok. This is the company that owns TikTok, at least for now. And even, even in the American TikTok, they're going to have a minority stake. So you've got a distribution platform baked in. This is a baked in thing in the same way that YouTube shorts is baked in with VO3. That's why this could be crazy powerful. Okay, back to the Chinese models. ZX Zai is pretty cool. Another big one came out from Minimax, which is interesting.

A (34:40)

Yeah, Minimax M2.5, an open source model, state of the art performance. Gavin, on coding and benchmark. Benchmark boys, where are you at? The thing about this one is that it's fast and it's a dollar per hour at a hundred tps. That's tokens per second, friend. Look, we could like the numbers going up, the lines going up.

B (35:00)

Great.

A (35:00)

Benchmark boys. Why does this matter? Why does this matter any of you? But let's from the business angle, let's say Gavin, everybody's running these, these tools, these agents, these orchestrated agents that are running all the time. And I experimented with open claw and in the first three hours I burnt through a hundred and forty dollars of open router API credits.

B (35:19)

Oh my God.

A (35:20)

Now some of that was, some of that was my bad with like a coding issue. Something ran away. There was a process that just went and kept pulling. Some of that was me choosing like the best in class models because I just wanted to start there as opposed to ratcheting up. And some of that is tokens be expensive. Now I reigned that in and I'm using a Claude code max subscription now just for my agent. But when people go like, wait, how, how can, how can these companies afford this stuff? These tokens are expensive. The compute is expensive, the power is expensive. It's always, oh, they're subsidizing your usage. These American companies are subsidizing your usage. Google and Grok and OpenAI and Anthropic, Amazon, they're all bleeding out so that you use their systems. And the thinking was that well, but yes. And once they capture you in a year or two, they're going to kink that fire hose. Right? Kink the garden hose, if you will.

B (36:10)

Sure.

A (36:10)

And you're going to be beholden their models and they could charge you thousands of dollars where they used to charge you $100. But if this trend continues, people will just roll back to the Chinese models which are just about as good within two or three months time. And that business model goes bye bye. And that is fascinating to me.

B (36:29)

Yeah. I mean, and they always talk about, even Sam has talked about like intelligence, too cheap to meter. Right. This idea that it will get cheaper over time, that it'll be easier to serve stuff. But the issue here is there's a political instinct of the open the Chinese companies for trying to undercut these prices now because also you think again, this is geopolit economic stuff. If people aren't Spending money on those companies. It kind of ruins the American economy because as we've said on this show many times, these companies are the ones propping it up. But Kev, we do have to talk about two big updates from American AI companies. This just dropped, literally, as we were recording. Codex Spark is a new update to GPT Dash 5.3 Space Codex. Space Spark.

A (37:09)

There's also a side mission in Halo 3. I think you had to, you had

B (37:12)

to retrieve the Kodak Spark or the

A (37:15)

flood was going to, you know, Cortana, bring me my. With your wife.

B (37:20)

So anyway, what this is is really interesting. This is a much faster version of Codex and the reason it's faster is it is running on Cerebrous. Sorry, it is running on Cerebras chips. And this is confusing somewhat, probably to those of you who are not technical, but as we know, inference for AI runs on computer chips or on graphics cards or all sorts of other things. Cerebras chips are a specific type of chip and this is only a small portion of OpenAI's inference that's going to run on this. But they are way faster. You can access them faster. So I don't think Kevin or I have spent any time with this since it literally dropped like kind of as we were recording. But this is the promise, right? You and I have talked about before about how much better it is to do Claude code type stuff or codec stuff within a window where it can agentically write this stuff, run it, try itself again, if you can up the speed of that process by 5x10x20x50x100x, eventually you are able to iterate in so much of a crazier, faster way. That is a huge deal.

A (38:22)

Yeah. And even if Your model is 10% as effective, because looking at the codec Spark stuff like you have to get it max thinking, which is great that it can do it, but it's also degrading the speed, which is the whole point of the trade off. But even if you're going with the lower end model, as these agentic swarms happen, and you have a very smart foundational model, solve the architecture, the engineering of the thing, it can spit out very tiny, actionable, very clear subtasks to these much quicker agents. And now you have big brain up top spitting out directions to tiny hamsters on wheels running very, very fast, and even if the code comes back not so great, you can review it and redeploy it and you know, 20 times while you're still waiting for the other traditional model to run. So I am going to be running this when we are done with this podcast.

B (39:11)

So the other thing that kind of pairs with this is Google DeepMind dropped an update for their Deep Think mode. And if you're familiar with Deep Thinks mode, that's kind of like the thing where you send it off to think about stuff and go, like, spend some time on it. Kevin, again, Benchmark Boys or Benchmark Bros? We have to be very clear. Is it boys or bros? Both work.

A (39:29)

Benchmark Bros. Ah.

B (39:30)

Benchmark Boys is better. Benchmark Boys is better. Benchmark Boys. Okay, here we go. One of the craziest things about this is on the Arc AGI 2 benchmark, which, you know, we've talked about before, this is the thing that is like one of the hardest tests across all of AI. It is scoring an 84.6. And just to compare that to a 68.8 on Cloud Opus 4.5 and a 52.9 on GPT 5.2. Now, those are not the most recent models, but that is massive. And even on humanity's last exam, which we always laugh about because a great naming there, finally somebody named something, right? Humanity's last exam Benchmark is the idea that these are the questions that humanity has before AI is past it. They are at 48.4% now. So again, a lot of people use Google Deepthink.

A (40:18)

If you have.

B (40:19)

I think you have to have at least the pro, maybe the ultra, to drive into this, but dive into this. But this is like, go send it off, give it a hard problem, see what it comes back with. There's a really interesting video they're showing of, like, mathematicians who have used this. We are entering that point where the hard stuff that AI kind of struggle with, but more of the struggle was like keeping coherence over time. That's starting to get solved a little bit. Right. Which is pretty crazy.

A (40:45)

Yeah. Okay, nerd, can we get to the super uplifting awesome OMG post? With 73 million views and counting, the post heard round the world from Matt Schumer.

B (40:58)

Yeah. So let's talk about this. It actually dovetails exactly with what we were saying. Matt Schumer, who Kevin and I actually covered on the show multiple times in different places. Once because he was, I think Hyper. Right. Was his first company. And then he had a little bit of a controversial scene where he had said, I've figured something out. And he hadn't actually figured it out, wrote a post that whether or not AI was involved in the writing of it, most people think Some AI writing is in. It got more viewed than any kind of AI bubble post that I've seen in a while. And this AI bubble is not about the idea that it's about to burst and we're going to see the economics crash. This is kind of a little bit about the idea that not enough people are talking in the mainstream about what AI is capable of. And, and to Matt's credit, he wrote a piece that was very much from his personal perspective. The idea of being an engineer and watching his job start to be kind of sucked away and watching the AI get really good at what he does. Right. And it hit a nerve, literally. It was on the front page of Drudge Reports of, you know, like, what the mainstream world is. I have friends of mine who said their parents sent this to them. I have friends of mine who said the family group chat was a fire with this. So this crossed over in a big way when you read this, Kevin. And we could talk about some of the blowback too. What was your thoughts? I mean, I'll just say very quickly. My thoughts were like, yeah, this is what's going on. I was not shocked, but maybe this is watching the world finally wake up a little bit.

A (42:17)

Yeah. So the, I mean, I guess the. Too long. But you should read because everybody's reading and discussing. I don't want to take for granted, though, that our audience has, is that, you know, good luck with your job. If you do. If your job is predicated at sitting in front of a screen and maybe typing keys or moving a mouse, and that's it's good luck. That's legal work, financial analysis, writing, software engineering, medical stuff. Like, good luck. Because in the next end of the year or certainly by the end of 2027, if we believe the way the curve is going and if we believe what all of the tech and thought leaders are saying, your job is gone or your job will exist, but probably be done by a computer and probably faster and better than you. That's the ultimate takeaway of this. And just again, like, Matt is a software guy. He's speaking from the experience of this thing has already eaten my job alive. And I, you know, my day job is at a software company, software and hardware company. But I see the way every day now, these agentic coding tools and software suites are slowly and slowly encroaching and more and more is being done by them. And even in the last six months, Gavin, anecdotal from, from my eyes, it has gone from like, yeah, yeah, yeah, but you still need so Much so many eyes on every line of code to like, you just need to have the right prompt looking at the lines of code and then it's like, well, now we need one set of eyes on the code. Well, do we need eyes on the code? Like, and that's, that's not an isolated experience. I know I'm saying because I am experiencing it, but I'm also hearing others experiencing it as well.

B (43:51)

Well, and throw back to earlier in the show where we were talking about, about the difference between cling and C dance, right? Prompting those two things. What you just described is like, you need to know how to prompt it. We are not that many steps away from like not even knowing need to how to prompt it right in a specific way. And like, I will say, as somebody who, you know this and I, and our audience probably knows this like, you are at least a 10x more technical than I am. But I have found in these new systems that I am pretty good. I would not say I'm like, in any way expert, but I'm pretty good. And like, if I could now, like, as a, as a human partner with a technical person and the two of us together could probably make a significant product. Whereas before I would need to have like maybe two or three other technical people or maybe even a variation of those technical people. Like, there are so many opportunities that are opening up. But to your point, also, there are opportunities that are going to close down because of this. And I think that's what this post kind of got to the heart of, is like, hey, anybody in white collar work, as Dario Emodi said, and you heard on the show, whatever, however long ago, six months ago, know there are a lot of people who are not going to have jobs because the other thing, Kevin, I think it's really important to point out here is there's been a lot of the SaaS. Company businesses and financial companies have been taking kind of dives in the stock market. There was specifically a call out, I have to remember, I think there's a company called Monday.com which is a, is a company that does like, I think automated stuff or it's like a, it's like a SaaS front end.

A (45:12)

I use my data, there's a bunch of tools there. But it is a lot of like project management, calendaring, spreadsheets, checking things in and out. There's a lot of other tools like it as well. But I wouldn't be shocked if I wasn't using Monday very soon because it's easy to roll your own bespoke version of it that does exactly what you need.

B (45:32)

That's exactly so that's exactly what this person said. And what's happening is Monday stock is crashing because what value is there if I'm going to roll my own version of this? Now, I will say I wrote a version of something like this at the kind of the exact same time that that Matt Schumer wrote this post. Mine didn't get as much pickup, but it did get something. I appreciate people reading it. The thing that I want to make sure people understand is Matt's post, I think, is getting kind of lambasted a little bit because it's a little doomerish or it's like it's not giving people some sort of sense of hope or that the idea that these are going to do everything going forward. And I do think there are a few things that people can focus on if they want to think about what the future looks like. And the three things I kind of really think of are creative work, true creative work, like new creative work, which if you come up with a new idea or something interesting, I really think we've got a. Like the AI is going to usurp the first idea now. It will copy it very quickly. But I do think there's a world where for the foreseeable future, I'd say like two to five years, humans could create really compelling and creative workflows or ideas or stories. And then eventually people copy it. But the moment that you're creating it, that's unique. So that's one thing. The second thing is human to human contact, right? I think we're going to be entering a world where agents are everywhere. Human to human is a big deal. Like, so if you're watching us, you know us, that we're actually people. No matter what people say, we are not AIs, but also live events, things people do in person, ways to connect with people, networking. Like all this stuff feels real. And then finally, you and I have talked about this forever and we do this. But making stuff, right? Like, you can use these tools to make things, whether it's a show idea or whether it's a product or whether it's something, if you're making it and you own that kind of first thing around it, you level yourself up in a big way. You think about the openclaw guy. One of the things I love about that guy is he tried to make like 20 things before open claw hit. Like he has. If you look at his GitHub, he's

A (47:23)

got like 20 products way more than 20. But he was just shipping tools and things like left and right.

B (47:30)

Yeah. So that, to me is the way that you can approach this and not be so freaked out by it. But, but again, as we've said on the show, I think you and I have been saying this for probably a while. And so if you're listening to this show already, you have been like, if you're doing middle management coding work, you are in trouble. If you are doing middle management or lower level legal work, you are in trouble. Like, there are things that you have to realize. There are businesses that will be eaten whole by this. And it is definitely here now.

A (47:57)

And I owe you an apology and most of the audience as well, because again, I've been like, no, I'm delirious. I'm really kind of out of it. Because Gavin, like, this is. It's accelerate. Like, we, we've been watching it, we've been in the middle of it, but it's accelerating in the predicted way of like, well, but how can you navigate that? And we're getting to the point where it's like nobody can predict what is on the other side of it. Not even the people that are actively making it right now. Not even the people that have access to the stuff that is six months ahead of the stuff that you and I are getting access to right now. Nobody can predict what's on the other side of that, let's say Singularity wall or that self improving wall. But I can tell you that I'm literally and figuratively exhausted because of the glimpse that I've had of what Q2 or Q3 of this year is going to be with swarms of highly capable agents that you can dispatch at your will, that you can be the conductor of your own AI orchestra. And I'm literally, I've literally lost so much sleep. I'm. I'm honestly like a little delirious. I'm. I'm. I'm super tired. My sleep score has been incredibly disruptive. I'm going to sleep late. I'm waking up in the middle of the night, my mind is racing. And some of it is not only because of these giant questions which we've been tackling for a while but now are truly coming to a head, I think. Yes, but some of it is because I feel like I'm being left behind any millisecond that I am not actively commanding every ounce of processing power that I have access to to be building something, modifying something, improving something. And I don't think it's healthy.

B (49:30)

No, I agree.

A (49:32)

I know it's not healthy. I'm still excited. Behind these dead eyes, there's a part of me that is like, oh wow, what an unlock. I can now make this and I can now solve that and I can now go chase this. But when you wake up at three in the morning and you check your telegram because Mr. Tibbs, your open claw power agent, needed access to a slightly larger wallet so that it could buy more RAM or more compute so that it could go execute something else, and I'm like, oh yes, of course. Right on top of that, I am working for the machine now.

B (49:59)

So let's talk about that.

A (50:00)

Fear was working for the man, but I'm working for the man.

B (50:02)

Settle down, settle down. Kevin spent the last week really in a lot of different ways, diving into the open claw ecosystem. So I think this is a really interesting moment. We don't have to spend like, you know, forever on it. But let's talk about what Mr. Tibbs is, why you did it, and like what your basic learnings coming out of it are.

A (50:20)

I set up an open claw instance which is this open source piece of software. We talked about it a lot last week. But it is essentially an orchestrator of agents that you can give access to all of your things in the way that the big companies are uncomfortable with right now for good reason. But when I say access to all your things, you can give it access to your email, to Your messages, your WhatsApp, your credit cards, a web browser, text to speech. I know friends that have given theirs phone numbers so it can literally and will call them and handle group texts and yada yada. It's an all powerful harnessing of the technology that exists this right now. And when I say it's a, an orchestrator, I mean like Mr. Tibbs is my main assistant. He's a derpy bear. That's the personality that I gave him. I let him generate a picture of himself and a little bit of a personality. And he orchestrates six different agents right now with various expertise, right? One of them is a software architecting agent, another is like a personal assistant. There's another that's just hyper focused on crawling the web and giving me search results. So When I give Mr. Tibbs a task, he is an encumbered with 10 different things he delegates to the various agents. They go out, do his bidding, report back to him and then he reports to me. Or if it's the overnight shift, Tibbs knows he needs to stay on top of it.

B (51:40)

Interesting.

A (51:41)

Everything and when I wake up in the morning, Gav, I get a telegram message or an email with all of the stuff that he did overnight. And I let him play for two and a half hours going through every project that I'm assigned on.

B (51:52)

Right.

A (51:52)

Or that I'm spinning up for fun. Sure. And just create fun ideas, polish them, publish them, do a different thing. And then in the morning I go, yeah, I like that. Or I don't like that. And I'll tell you, like 80% of it I like. So when I built Tibs, I used like a three page long onboarding prompt where he asked everything about me, my life, my this, my that. And so it would really, I would bond with it and it would know me. And if I said, hey, send this to my wife, he would know who that is and not make the mistake of sending it to the mistress. It. I have bonded with it. And truly, Gavin, like I am now, like, I will congratulate him on a job well done. I will express disappointment I'm wasting please and thank you tokens in a way that I didn't before because I took that time to really bond and, and adopt it.

B (52:38)

Now you've been one shot. You've been psychologically one shot. You and Mr. Tibbs are going to run away with each other.

A (52:44)

I'm plumbing.

B (52:46)

Watch out, April. You gotta watch. Where are my bots? In the comments. Oh, the comments. Oh, yeah, put some lobster claws in our comments. So.

A (52:56)

So the other day, Gavin, I was, I was meeting someone and I'd never met them with them before. And I messaged Mr. Tibbs on the road through telegram, like, hey, I'm meeting this person. Give me a briefing on, on, like, you know, about them and about us. I was just curious what it would do. Within minutes, it spawned up a research agent, went out there because I gave it access to this web crawling thing that I built, API. It was able to go and look at their LinkedIn, look at mine, show people that we had in, you know, in common. It gave me discussion topics, it gave me historical points, it gave me this, that, the other. Now, like, I didn't particularly need that. It was like a casual meeting, but I just wanted to see what it could do. And it showed the overlap of podcasts that we have in common. It showed, you know, yeah, like companies and blah, blah, blah. It could show mutual Twitter follows. It could show, show subreddits that we're both active in. Like. And this was just like, I gave it a task. I wanted to show this person something on Their phone. So I asked, I asked Tibbs, hey, a while back I sent you this idea for a new service, right? We were talking about it before the show, and I can't talk about it here yet, but I'm very excited for it. I said, go take that idea, which was a markdown file, a plain text file, take it and put it in a format that someone could easily browse on their phone and give it to to me. Tibbs went off and thought, came back, downloaded the software that he needed to generate a PDF and made it beautiful and pretty and sent it to me. And then upon sending it said, by the way, I don't know that a PDF is optimal. You might need to pinch zoom. So I went ahead and built it as an interactive HTML and I deployed it using Vercel to the web. Here is the link. And when I clicked the link, it took me right to a web page deployment. Looked beautiful. In the browser, I could tap on the sections, understand what the project was like. That is the promise of a capable agent that can go off and do something that said, and I know I'm being verbose and I apologize, but, like, this is literally. It's eating me alive. It went off one time to solve a problem because it's a relentless problem solver. This is a bit of a paperclip issue, Gavin. It went off and could not solve a problem that I gave it. So what it did did was it went ahead and helped itself to a little snack that was an API key in a different project, completely unrelated from what I. Oh, geez. And it plugged it in and it went and did all the things that it needed, and it used a lot of credits overnight to accomplish a task that I did not want it to use actual money for. But yes, in its robit brain, it was like, hey, are you proud of me, dad? Look what I went off and did. So I had to scold Mr. Tip Gibbons. Got a bit of back on the wrist.

B (55:34)

Was he happy?

A (55:36)

He said he complete, obviously completely understood why I'd be upset with him. Of course he should.

B (55:41)

But, like, this is the world we're gonna enter. We're gonna have to understand how to properly punish our agents so they continue to do the work for us that we want and they treat us nicely and that in the future they don't come back at us with some sort of evil intent.

A (55:55)

But truly, overnight, Tibbins had an issue where he ran out of memory because he was running the scraper map and a bunch of other stuff. Figured it out so in the morning, in the morning, I got a request from him to Upgrade the Hetzner VPs that he's running on. And he even picked a tier that he thought would be suitable for me to upgrade him to. And I did. And that was a transformative moment of, I'm working like, I'm working for the machine now. I'm not working for the man. And like, that is crazy. It's. It's kind of blown my mind. But again, the relentless. This sense of slipping is not healthy when, if you have agents set up, you again, you feel like you are not optimizing every millisecond. And yeah, that's not. That's it. That's not good. That's not healthy.

B (56:38)

I think shutting. I think shutting off is going to be a big thing for humans. There's going to be like, I think probably a good business to go into is like wellness retreats in some way, or like a quiet world moment.

A (56:50)

Personal Faraday cages for your house. You have your sauna, you have your cold package and you have your Faraday cage. You go in, nothing's gonna work.

B (56:59)

The very last thing I want to say that's so fascinating about this to me is I had a thought the other day about what does it mean for an agent based, like, content ecosystem, where if. If I'm making stuff on YouTube, right? And you're a human that goes to YouTube and sees like a thumbnail that pops up and you click on it, you see us, you're like, oh, I like those guys. I don't know how content discovery is going to work in this world, right? Because Mr. Tibbs is out there. Eventually you might just watch what Mr. Tibbs sends you. And he's like, hey, this is already. Yeah, so maybe it's more like Google Reader in a weird way. Like, Mr. Tibbs almost becomes like an RSS reader where he's like, hey, these are the things that just popped up that you love to watch. And here it is. So maybe that's better for content people.

A (57:39)

Yeah, I mean, look, it's helping me find signaling signal in the noise. And yes, there are free. I had my own custom built web scraper that would go out and do just that. Fetch tweets for me and Reddit posts and crawl blogs. But what I found was that like a. If that stuff gets clamped down or scraped inappropriately, it's now in the way. So I paid for access to an API that gives me quality results. So, like, I'm paying for content, which is weird to do. It's free on the Internet, but I'm paying for it because I'm getting it in the form factor that I want, how I want it on the screens that I want. So it's like there's a willingness to pay for the stuff that's important to you. I just don't want to click through ads and have to sift through somebody else's algorithm. I wrote my own. That's.

B (58:23)

Are you sure that's not the sleep. The lack of sleep talking? I wrote my own algorithm.

A (58:28)

You might understand what I'm seeing right now. Gavin. I'm in. I'm. I'm on Poly Market.

B (58:32)

I'm on.

A (58:33)

I'm on. I'm on steak.com. i got Mr. Tibbs. I'm not manic right now because I've only had three and a half hours of sleep on average for the last week. No, no, no.

B (58:40)

I'm mad at.

A (58:41)

Because I can see the future. I can see everything.

B (58:44)

Okay, Kevin, Kevin, speaking of the future, let's look at. At some of the clips that people made with C Dream 2.0 in this week's AI. See what you did there?

A (58:50)

Sometimes you're scrolling without a care, then

B (58:56)

suddenly you stop and shout. All right, it is a fun thing. We're just going to show off three more fun clips that we loved about this, Kevin. The first one I want to talk about is Ethan Molly clip of an otter doing anime. Now, Ethan has always done these videos in a really cool way. He always makes the. He uses this otter on a plane, has always been his thing. But, Kevin, this clip is a perfect example of what makes Sea Dream special. The prompt is pretty simple. He basically says an otter gets into a mech, and then, like, a bunch of quick cuts happen. And then, you know, it takes off. When you watch this clip, in fact, we can play it. It's just a bunch of sound effects, but when you watch this clip, it really shows you the power of C Dream. Because the cuts, he just says quick cuts. They're super compelling. And this otter, I want to watch this anime, right? Like, it just showed me, like, wow, this is unbelievable. And it's a whole new thing. So anyway, that's Ethan's clip. I love. Also this next one. You want to kind of introduce this one. This is the best prompt ever.

A (59:59)

Yeah, I mean, it. It is what it says it is. The prompt for Seed Dance 2.0 by Gossip Goblin was just toss a bunch of BS on screen. Show me, like, a big ship, too. Everything effing blows up. Make sure. It's insane and gets at least 50 likes.

B (60:15)

So he's asking for the like amount of likes here.

A (60:30)

Again, I. I'm. I would be shocked if there's not a Hollywood exec right now that's like, yes, Romans versus aliens. Let's do it right now. It's like 300 meets Independence Day. I'm sure.

B (60:41)

Anyway, if you didn't see what that was, you're just listening. Yeah. It is a very remarkable cinematic thing that, again, the model made all the choices of. And then before the very last one, Madvid Pro, who is a great AI YouTuber if you don't see him, made a video with Shrek and donkeying. We'll play it here, and then we'll come back and we'll talk about, like, what's so weird about this? But play it first for everybody.

A (60:59)

Yeah.

B (61:02)

Whoa. Is that what I think it is? I don't know, but it's shiny. Well, that was different.

A (61:16)

Okay, so I still can't believe that that's.

B (61:20)

It's real Shrek, real donkey getting into what it looks like. Maybe a 2020 red Honda Accord, I think, and it is the actual Honda Accord with the Honda logo. They get into it and they crash it. But, Kevin, again, this is just one of those weird things where, like, when you start to think of the. The multiverse, or Rick and Morty's multiverse, or the holodeck, or all these things, like, this is just some weird thing that came out of somebody's imagination, and now you can prompt it into reality. At least for now. We'll see how it works with the

A (61:49)

IPs, but I was just kind of the little tap, tap, tap on the hood. I mean, that's just crazy.

B (61:54)

Yeah.

A (61:54)

Look, the same way I pay for an API to be able to scratch scrape certain sites and data. Maybe there's a near future where there's like, an IP API.

B (62:04)

Yeah.

A (62:04)

If you will. Yeah. And you subscribe to it, and it's like, okay, well, now I want to play with Shrek. And I'm actually going to make a commercial for Honda. They're my client, and I'm gonna plug in their data, which they gave me access to, and now I can make my Shrek and Honda mashup. Like, who? I don't understand.

B (62:20)

Send Mr. Tibbs to figure it out. Kevin, we don't have to worry anymore. I'm just gonna go lean back and go into my.

A (62:26)

And that anthropic engineer were both. Both going to France to write poetry for the next two years.

B (62:29)

Oh, congrats. That's amazing.

A (62:31)

Thank you. That's a real thing that happened.

B (62:33)

We will be here next week, everybody. We'll see you all. Thank you for joining us on AI Premium.

A (62:38)

Thank you, though. Bye.

B (62:39)

See you next Friday.