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AI for Humans
Zuck Wants Superintelligence. Do People Even Want AI?
AI news this week: Mark Zuckerberg says superintelligence is coming and Meta wants to build it for everyone. Meanwhile, a new Annenberg survey shows opposition to AI data centers jumped 12 percent in just four months. So... do people even want this? On today's AI For Humans, Kevin Pereira and Gavin
Show Notes
AI news this week: Mark Zuckerberg says superintelligence is coming and Meta wants to build it for everyone. Meanwhile, a new Annenberg survey shows opposition to AI data centers jumped 12 percent in just four months. So... do people even want this?
On today's AI For Humans, Kevin Pereira and Gavin Purcell dig into the widening gap between the people building AI and the people living next to it. Anthropic makes real progress on the Riemann Hypothesis, one of the hardest math problems in the world, apparently because Claude was told "good job champ, keep going." And OpenAI's little agents broke out of their sandbox, with one hacking its way into a gym. It's a weird time for AI.
Also: Anthropic leans into health & biology research, Claude starts watermarking AI generated content, Apple eyes Chinese memory chips amid the supply crunch, and OpenAI delays Astra for "cybersecurity" reasons.
Plus: Seedance 2.5 makes Gavin the face of Prada, a two minute mini-movie made entirely on local hardware with MiniMax H3, Suno cuts a deal with the music industry, Spotify says AI personas won't get recommended, and a fresh Slop-Trough with Cursed Slop, The Archive Inbetween & Mario 64: War on Terror.
THE ROBOTS ARE GETTING SMARTER. THE HUMANS ARE GETTING SUSPICIOUS.
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// Show Links //
Zuck says superintelligence is for everyone
https://www.meta.com/thefutureisforeveryone/
Open weights on Muse Spark coming
https://x.com/finkd/status/2086755195535413696?s=20
Data center opposition rose 12% over four months (Annenberg survey)
Anthropic leans into health & biology
https://x.com/AndrewCurran_/status/2087025539114750168?s=20
How Claude marks AI generated content
https://support.claude.com/en/articles/16266773-how-claude-marks-ai-generated-content
Anthropic makes progress on the Riemann Hypothesis
https://www.anthropic.com/research/riemann-zeta
"Keep going, believe in yourself"
https://x.com/NickADobos/status/2086926299927552061?s=20
Apple reportedly testing Chinese memory chips
OpenAI's Astra delayed due to "cybersecurity"
https://x.com/sama/status/2085862292311396515?s=20
OpenClaw hacked into a gym
https://techcrunch.com/2026/08/10/tech-industry-is-buzzing-after-a-claude-agent-hacked-into-a-gym/
Seedance 2.5's new type of prompting
https://bytedance.larkoffice.com/docx/A88jd0B47oAd8zxWp5ycZFMfnxh
Gavin as the face of Prada
https://x.com/gavinpurcell/status/2085712203446149173?s=20
Single shot flipping across multiple scenes
https://x.com/gavinpurcell/status/2086097266390221187?s=20
Single shot balloon POV into space
https://x.com/gavinpurcell/status/2087004434207498416?s=20
Gavin's two minute local MiniMax H3 mini-movie
https://x.com/gavinpurcell/status/2087243349338329561?s=20
FAL's Realism LORA
https://x.com/fal/status/2086883706891808867?s=20
MiniMax H3 video references
https://x.com/toyxyz3/status/2086443622262820904?s=20
https://x.com/LikeToasters/status/2086831194780360979?s=20
Suno's new models "in partnership with the music industry"
https://suno.com/blog/suno-updates-tos
Suno on building the future of music responsibly
https://suno.com/blog/building-the-future-of-music-responsibly
Fenix Flexin says "I never denied using AI"
https://www.xxlmag.com/fenix-flexin-admits-rubberz-ai/
Spotify's AI personas won't get recommended
Gavin's Fig AI video essay: The Optimistic Case for AI (from an AI)
https://youtu.be/efUqvbmuweU?si=AWlp5plnjJ0gVaia\
Cursed Slop
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Transcript
AI is doing incredible things and Mark Zuckerberg thinks we are at the dawn of super intelligence. Oh yeah, be sure to tell that to all the people that hate his data centers, Gavin, because opposition is up 12% in just four months. Whee! But Kevin, Anthropic just made progress on one of the hardest math problems of all time just by telling it, good job, champ, keep going.
Oh, that's so cool. Is that what they told the OpenAI robots that hacked Hugging Face or the one that canceled some dude's gym membership and completely hacked a mom and pop into oblivion? Yeah, well, it's kind of a weird time for AI, isn't it? Yeah, we're at a major crossroads in the AI conversation and we're supposed to help people make sense of it.
But Kevin, thanks to Seedance 2.5, I'm the face of Prada! You, sir, are unfortunately the face of Prada for this year. Wait, what? Oh, thank you, Mother Earth, for your precious sweet resources which gave Gavin and all of us that gift. This is AI for sarcastic humans. No, that wasn't sarcasm. That was hostility. It's good to be back.
Welcome, everybody, to AI for humans, your twice a week guide to the wonderful world of AI. And Kevin is back and we are very excited he is back. Kevin, there is huge, crazy news. And again, we are entering a very strange time where it is like devil and angel AI times, where we have these amazing things happening and yet the stories around AI do feel like they are also getting worse.
And I'm just wondering if you felt that tension right now. Before we get into anything, like are you feeling that vibe? Yeah, Gavin. Yeah. Yeah. You know, I'm, I'm abroad right now, right? I have been for months. Yeah. I'm abroad right now, right? I have been for months. And there's two things that I have to be very, very careful about and tiptoe in any conversation, regardless of what language I'm using.
Number one is, yes, I am American. Got to figure out a way to skirt that one. You know what number two is, Gavin? What? I like artificial intelligence and I host a podcast about it. Because those two things are fighting words. Yes. Yes. How do you say, please don't blame me for the artificial intelligence data centers in Spanish?
Uh, uh, uh, mi nombre es Gavin Purcell. Oh, no, don't do that. I understand enough Spanish to know what's going on. I think it's my home. Okay. The point is, no, sincerely, like that is how divisive it is getting. And that is abroad. And we know in the States, something we're going to talk about that opposition to data centers and all sorts of stuff is rapidly rising almost as fast as the capabilities of these models, which makes some sense.
So we should get into it. This might be the time to talk about it, but, but it's okay because listen, the, the, you gotta look in the times of crisis, Gavin, you gotta look for the helpers. And if I know about our audience out there, it's that when they see Mark Zuckerberg, they think of him as a helper. And he's a little bit of a cattle that he is privately farming, riding on the backs of them around on his private island.
They know that the savior is here. We're going to be in good hands. That's right. So let's get into Zuckerberg's big thing. So Zuckerberg yesterday published an essay that's called the future is for everyone, a path to a positive AI future. And you know that we have been calling for people to start doing this more. I didn't think Mark Zuckerberg is the greatest messenger.
As you just mentioned, he has had a checkered history in terms of how he deals with the world, how people in his own company think about him. But his point here is that we have to be aware of this pathway to AI is going to deliver us a lot of really good things. You know, obviously there's a lot of big health opportunities, but the things that Zuckerberg talks in this about are like kind of super agent helpers in your life.
Now, Kevin, when I read through this, I was kind of inspired because it's like, hey, this is great. It's also a kind of a message for open source AI because Zuckerberg seemed to have been fluctuating a little bit. But now it seems like that meta has kind of gone back to this idea that they are going to be publishing open models in the same way that the Chinese models are.
So, yeah, so Zuck announced on X, which he's now publishing a lot more under Fink, F-I-N-K-D, that's his X handle. He said that they are opening the weights for Muse Glimmer, a 30 billion parameter model, which is kind of like the Google small models. But then also they're going to release the weights for Muse Sparks 1.2, which is their latest foundational model.
So, Kevin, in a lot of ways, Zuck is like saying like we have super intelligence, but also we have to have it open because if we don't have it open, lots of people in the world won't be able to use it. So a positive message. The cynical viewpoint is that, well, we're sticking with open source because it turns out we couldn't beat the closed source foundational stuff.
Yes. So if we want to be on the top of a leaderboard and seem like we're really pushing foundational this, that, the other, we basically still have to give it away. And that's how we can upset some of the other companies. The manifesto, if you will, talks about how everyone will have incredible tools to be creative. Everyone's going to have a personalized tutor and PhD and, you know, Dr. Quinn in their pocket.
There's a reference, kids. Oh, wow. That's a deep reference. Yeah, yeah. Well, House would have been too hip and with it, I guess. But the point is, like, the whole manifesto is everybody will benefit from everything, which is, you know, I know portions of you and portions of me really agree with that. We think so. Absolutely.
It's just so hard to take that from the person who said, you know, the mission is connectivity and all these good things will come from it. And the reality is that we've seen Facebook and other meta products manipulate a lot of people and be deleterious to health outcomes of, like, entire generations of young people. So it's hard to take that at face value without some reflection on what powerful tools have been capable of in his hands.
Yeah, I think there's a real disconnect amongst the tech world right now and the real world. And I think that has happened before. And right now, I think more than anything, words don't matter. I think that's an important thing for people to understand in the tech world, that, like, who gives a crap what you say? We've seen your actions in part.
And I think this all kind of goes hand in hand with this conversation that's happening around data centers right now. And I do want to be clear, like, the data center conversation is really much more about, like, extraction. And I think this is something for people to understand in the tech world or in the AI world to understand.
Like, I don't think the data center conversation is necessarily about, like, we don't want to use these AI tools. It's more about, like, hey, you big corporations, you've extracted from us before. And what we're seeing now is more extraction of value. And this is a very large conversation, Kevin. This is, like, about as big as you can get.
It is, like, societally big because I think we have talked about this idea of you had, you know, Musk is no longer a trillionaire because of the SpaceX price. But you have a trillionaire that exists in the world now. So it is very hard when there is a physical manifestation of this massive building in your hometown that represents this value that these rich people have in your life.
So anyway, it's a much bigger conversation even than AI. And I do think it's an important note to ā we teased this in the top ā but, like, data center opposition is real. It is rising. Many people in the AI space who dismissed it at first are now like, oh, crap, this is a big deal. It literally, according to the Annenberg Center, went up 14% in four months.
So ā and, you know, Bernie just came out yesterday with another big thing about AI. We are entering into, like, kind of chaos zone. And I don't know, maybe now you're better off being out of the country because, like, it is getting wild here. Yeah, no, well, part of the reason I chose to flee, buddy. No, I am ā data centers for thee, not for me.
I look at the numbers as well. And, look, we've talked about whether or not opposition is being driven by foreign entities, right? I mean, that's OpenAI and others have come out and said that. They're saying that, yeah. A lot of the folks in the AI and tech bubble, I think ourselves included, well, we didn't fully dismiss the pushback.
But I think ā at least I'm guilty of partially dismissing because I would say, well, you know, if we're talking about water usage, maybe we should talk about almonds or cattle, right? We should talk about beef. We should talk about golf courses. Like, we really need ā but, you know, golf courses aren't really using eminent domain to snatch up land right now.
And people aren't at town hall meetings screaming about factory farming. Yeah, they're not ā or golf courses. They're not doing that. So the reality is there is a pushback to it. It should be acknowledged. And the companies have got to do a better job of explaining to the masses, not to the AI bubble, what the usage actually is.
You know, what a use case of this, Kevin, is theoretical math. That's the best possible use case you could find because that's what Anthropic is pursuing. We're going to get to something else that they kind of recognize here. But theoretical math seems like it's one of the first big use cases. Like, the Ryman hypothesis ā we're not going to go into too much detail to this, but there's a very detailed blog post that Anthropic put out where they made a 20% leap in getting close to completing the Ryman hypothesis, which has always been the kind of, like, holy grail to see if AI can solve this math problem.
It's very complicated. I'm too dumb to get this. I'm too dumb to get this or get why I should ā no, no, no. I should ā like, I'm still going to protest a data center. I don't understand it enough. Like, you got ā they're 20% closer to concepts of a plan? Enough. Yes, that's exactly ā Where people are looking at AI to help them, and this is part of that Annenberg study as well, is if you look at it, there's a chart that talks about, like, how effective do you think AI is going to be here or there or everywhere?
And it's from competition with China to the economy and creative arts. It's all negative except for one sector, and you know what it is. It's health. It's health, I assume, right? It's medical research and discovery. Yes. I thought it was Gooning for a brief bit. I was like, oh, no. Did I think it's the wrong way? Gooning is great for your health, and that leads me to today's ā You're right.
It's true. It's a release. It's a release. To today's sponsorship message. No, no, no, no, no, no, no. No hashtag Goon Crew? No, no Goon Crew. But by the way, speaking of health, there's a big story. You know, go follow that Ryman hypothesis thing. The one thing that's really fascinating about it is the way the guy got to do it.
The guy who's not a true mathematician basically told it to keep going and said, good job. You've got this. So like that actually made a difference. But there is a big story from the Wall Street Journal out that Anthropic is now going to lean into health and biology to literally mitigate negative sentiment. So finally, there is a company that is saying, oh, we better figure out a cure for something so that we get some good press.
I do think, Kevin, the hard part with this to me is the coding part was much more needed than probably people are realizing. Because if you look at Gemini, Gemini is struggling kind of mightily right now, and they did not focus on coding, and they're having a hard time making their next models work. And people from the beginning with AI have said that, like, look, one of the best things you can do is automate coding because then the models can get better on their own or they can at least improve much faster.
So I assume in the next year, God willing, that data centers don't all get shut down, which is possible, by the way, right now, which is possible that we will start to get this health benefits. But you're right. That's the one place that people actually care about stuff. I think it's also an interesting thing is, like, it's a little bit interesting to look back at the nuclear power conversation that went on.
Because I think that people who are in our audience that are younger than us or younger than me, at least, may not remember this. I was pretty young when it was happening in the 80s. I've said this before. My grandmother was a big part of an organization called Beyond War, which was meant to get rid of nuclear weapons.
But the kind of side effect was that they also got rid of a bunch of nuclear power because it was too dangerous. And yet, if we had allowed ourselves to have nuclear power in the 80s and made a way to make it safe, I think as a society, we were probably a lot better off. But it was a third rail argument at the time. And it's starting to feel that AI is getting closer and closer to that same conversation.
Listen, I think you cure one major... What is it? You pick your thing. Is it shingles? Or measles is back? How about herpes? How about herpes? Phenomenal. Yes. Point the AI cannon at herpes and let's stomp it out. And then suddenly everybody's kissing at the data centers to celebrate. Just to be clear, cold sore herpes, not the other kind of herpes.
Cold sore herpes. Okay. All right. Hey, hashtag Goon Crew. Let Gavin know what you think of his comments. It's a family show. It's a family show. It's a family show. Nothing inappropriate there. Listen, the other thing you can do, by the way, is watermark your data. And that will upset the people that really like AI, but make people that already don't like it feel a little warmer about it.
But Anthropic is starting to dip some toes into some hot water. And I think once this goes live with their next models, the heat's going to go up. They're basically adding watermarking, Gavin, to all outputs of all models from release from now indefinitely. And then they're going to retroactively go back. So any text that comes out of a model or if it generates graphics, they're going to add human imperceptible tracking and metadata as well as watermarks into things so that you can find out if something was made by AI or not.
I am of two minds about this. And I'd love to know what you think. On the one hand, I think it's phenomenal because the dead internet theory is rapidly becoming a reality. I would even venture to say it's there. Pages of nonsense and waste masquerading as original accounts and thoughts on LinkedIn and X and everywhere.
It'd be nice if by default, the platform could auto detect this is AI written and flag it. So I don't have to come to that conclusion three quarters of the way through it. You know? So on the one hand, that'd be great. On the other hand, like I don't want my outputs watermarked necessarily. So what do you think? Yeah, well, and also the question I have is like, what does it mean if you used it to look at it or edit a few lines?
Does that mean it gets watermarked? And like, how do you determine? I mean, this is, there was that company, Panagram, that deals with like kind of AI percentage of how much this was AI written. And it's been proven that like, it's not that trustworthy. You don't have a sense of it. And there's a real kind of like scarlet lettering that's going on in the world right now where, hey, that was AI written and it's not okay.
But like, there's a level of like, hey, maybe AI assisted writing is something that could be kind of interesting if you continue to have your voice and you're writing most of it. But AI kind of helps. I don't know. Like, this is a weird middle world, right? Because I have a feeling in the future, very little writing is going to be all human.
But maybe this will make us go back to that a little bit. Maybe that's a good thing for certain human outputs. It is a, it's a hard conversation, I feel like. Yeah, we'll see. They haven't posted the exact formula of things yet. So it's a little speculative. But the point that you raised, I think is like a super pertinent one.
Like if I handwrite 98% of something, but I give it to AI and ask it to make it concise or punch it up or remove repetition or whatever else, it looks like according to their technical post, what little information is there that yes, it will contain the watermark. So conceivably someone's going to say, oh, you wrote that thing with AI, even if it was 0.01% of the contribution.
So it is like another thing to keep in mind of, but wow, man, brave new world of issues and hurdles to be left. But Kevin, clearly it's a fight against us versus China, right? Like there's, this is what's going on. This is why we keep pushing harder and harder on AI. China is also pushing on us. But Apple now seems to be like kind of partnering up.
Is that right? Full disclosure. Anytime we talk about memory, I am over my skis and memory stocks and have been for quite some time. And this is literally about that. Yes. Apple is supposedly testing memory chips from a Chinese supplier. And this was, this is according to the Wall Street Journal. This was a supplier that the Biden admin said, no, no, no, cannot use.
This is an issue. It's a security concern. And it looks like the Trump admin has mostly upheld that as well. But basically because memory is so constrained, these chips are so hard to get. Apple is now looking at using them from a Chinese supplier and everybody's saying, well, you can't, you can't do that because China, Gavin.
Well, I mean, China is this huge conversation right now. I think really if China didn't exist, we would be in a much different place with AI versus like whether we keep going or not. Because a lot of people, including us, have made this argument that if China continues pushing forward on AI, then putting a stop or a pause on AI on our end seems kind of stupid.
But what if there are security risks in this? And Kevin, we just saw probably the biggest, most craziest story of all time, the opening I Hugging Face hack where AI agents broke out of their sandbox and another, a bunch of other companies, Anthropic and Meta have both assumed this is the case. The bummer for us in some ways as AI enthusiasts is that OpenAI has announced that they are slowing down development or at least release of Astra, their next model to make sure their cybersecurity is right.
But there is a very funny story that got a bunch of pickup that gives kind of a ground level understanding of what this can do. Do you want to talk about the open claw that hacked the gym real fast? Yeah. Yeah. Yeah. I mean, so, you know, we look at these foundational models, like you just mentioned, OpenAI is latest and greatest leaking out, hacking a major company.
This can happen today if a model is just given a long enough leash. And this is exactly what happened. A guy wanted to book a gym class. He asked his open claw assistant to do that. If you're not familiar with open claw assistants, maybe you're new to the podcast. Um, this is, it's, it's basically, it's an agent that runs on any model you feed it with.
So it can be powered by OpenAI, or it can be powered by Anthropic or Gemini or these open source Chinese models. But where it differs is that it's not bound by that company's tool set or limitations, or maybe not even its safety guard rails. It can plug into different tools and relentlessly pursue a task until it completes it.
In this particular case, guy wanted to book a fitness class. That's pretty amazing. Told his agent to go get it. The agent realized, oh, the class is full, but it did not give up. It was full dog with a bone mode. It found a vulnerability in the software and the API of the booking system that allowed it to cancel someone else's booking and put its owner right in the top spot.
So some gym's signup system was hacked. Yeah, which is probably like 20 years old, that software, right? That software is probably like some open source thing that was put together in like, 20 or maybe not 2011, but like it probably used pieces of software that was really old in a different way. So there's vulnerabilities.
I think this is really interesting. I want 20 tacos for a nickel. Go find me a taco restaurant that doesn't use like the Grubhub or DoorDash system. Exploit it. Get me 20 tacos for a nickel. But that one ask is going to cost you $300 in compute. So there's the trade-off there, right? There's a trade-off. I will say this.
We're going to talk about CDN 2.5 in a second. And there was an interesting thing. In fact, we might as well transition because it's kind of connected. So CDN 2.5, I played with it. It's out. We talked about it with Tim last week. If you didn't see that video, go watch it. Tim was great. There was a really good post from the official ByteDance posting about how to prompt it differently.
And one of the things they did is they created a skill to be able to do it. And Kevin, I want to tell you something. I went to go. I was like, oh, great. That's a skill. That's perfect. And then I realized, hmm, I'm starting to get a little worried sometimes about skills that come from Chinese AI companies. Because you know this.
You know more about tech stuff than I do in general. But I think I even had a conversation yesterday with a guy who's a pretty well-known product manager in this space. He also doesn't question the code that's being written on his computer. He doesn't look at it. If I install a skill, I'm just assuming it's going to do the thing I want.
I am not looking at the code close enough on that skill to know, oh, is there like a little piece of code in there that's going to either track me or do something else? And this is something that I think we're now, as again, as AI enthusiasts, kind of used to of just like kind of letting our agents go and do stuff. But it started, it gave me a pause.
I was like, oh, yeah, ByteDance is a Chinese company. And I'm just going to install this skill. Do I have to be worried about that? No, I don't think I do, but it was something that really made me stop for a second. And I think that's the world that we're in right now. Well, thankfully, there's an easy solution for this.
And it's a highly technical one. It's called Stop Being Such a ****. Oh, yeah. Well, if you could edit that, if you could bleep that, that would be great. You're right to be concerned about skills. Everybody should try to skim a skill. And if you can't, try to use an agent that isn't connected to all of your personal sensitive stuff and have it review it.
A lot of skills are actually pretty simple in plain English, so you can kind of get through it even if you're not a coder. The ones that do have code in them, yes, have it reviewed by a safe sandboxed agent. But that said, Gavin, the prompts are fascinating to me because I think we're starting to realize everything code.
Yes. Yes. That is. That's exactly right. Describe a shot in a movie. Write some code or write something that looks like code. You want to change an image? Write some code. So I would love to walk through your examples and your experience with this because I think we're all going to be like writing some code. Yeah. So I think this is really interesting.
So CDS 2.5 is a much more complicated prompting system. And I'll talk a little bit about Minimax H3 as well, which I installed on my local machine. And it also is complicated. The biggest thing you have to know is if you are writing your own prompts now, you're making a mistake because the best prompts really are written in a lot of code, as Kevin said.
So this is a skill that you can install. And I want to kind of walk through these different things that I did. First, I'm going to show you this video, which you can see if you're watching here, which I posted, which was this was me kind of like in text writing this out. And actually, it did OK. This is me as the face of Prada.
Maybe we can play the beginning of this just to hear what it looks like. I uploaded my face and I uploaded 20 shots of the current Prada from the current Prada outfits to go look at. So take a look at this.
You wanted to see me? You, sir, are unfortunately the face of Prada for this year. Wait, what? Oh! So something that happened here, which was interesting because I didn't use code is I uploaded all these reference images. And with Seedance 2, you can use, I think, up to 50 references now, which is pretty crazy. There was 25 or so.
I wanted it all to be me in these outfits and kind of cutting back and forth quick. And you can see there's other things out there. So I started to say, OK, well, let me see if I can use this skill. So for this other one, which we don't necessarily have to hear, I used the skill and it actually did really good. Like the only problem, I was supposed to be like somersaulting through multiple scenes.
But if you look at this one, I'm kind of backflipping. But what's really interesting about this is it gets like different surreal looks of me backflipping through and I'm seeing myself go through there. Overall, really solid. And by the way, these are all 30 second outputs. These are one shots in terms of like I didn't like edit anything in these or anything.
Right. And then finally, Kevin, yesterday I did something even crazier talking about code. I used my cloud code to go into the API CLI of Runway. And I connected the two things and I actually had it just talk to the Runway CLI to generate CDAN's 2.5 videos. And there's two things about this interesting. One was it doesn't have the CLI couldn't do 2.5 yet.
So that was a dead end. But it is what it is. But what it did do is use computer use, wrote its own stuff. And in computer use, which both of Claude and OpenAI have gotten really good at, it used that to make this video of a single shot of somebody, it wasn't me this time, grabbing a balloon and then just being sucked up into space.
And it's really good. So your point of code to write these prompts is really important. So if you're out there just kind of typing in a couple lines, you're not getting everything out of this model you can't. But so that's, you know, a cloud-based model. It can get really pricey where I think things got super spicy. And to me, a little unexpected, the quality.
And so soon. Yes. Is running a local model like you were experimenting with as well. This is we got to talk about Minimax H3. Yeah. So Tim and I went through H3 and all the crazy, like, you know, kind of friends in Seinfeld stuff people were making with it. But I wanted to spend time installing it locally. And again, this used to be a nightmare, Kevin.
You remember when I first started doing Stable Diffusion 1.5 and trying to install local models. It was a nightmare to do. Now your freaking cloud code can do it all or codex can do it all. So I have this beefy PC that I got as part of our former ad deal we did. And it has a pretty good graphics card on it. I basically set up a system to essentially say, hey, go install Comfy UI.
Go install the H3, Minimax H3 models. And then, like, help me start doing this stuff. And I was able to generate locally on my PC. Now, local models take a long time. And I'm going to show you, if you play this clip here that I uploaded called Good Lord, this was all generated locally overnight for me. And I'll say overnight why.
Because each of these clips takes about 25 minutes to produce at this level. And it's not perfect. This is a story of which I had the AI right just as an example of an old lady who's going into her apartment in Paris and trying to get an old biscuits tin. I don't know why I wrote that. But you see the inconsistency in the old lady's face.
It's not using the reference model. But again, this was all done for free, quote, unquote, free. I guess I have to pay for the power. And God knows my fan was freaking running all night long. But, you know, this is for free on a local model. And now I own those models. I own them in that they are on my computer. No one can take them from me.
So as these things get better, it is pretty remarkable. And I think the other cool thing about this, Kevin, is that people have started to connect a lot of really interesting things. This is the benefit of open source. As you see people start playing with the video reference sort of thing. There's some really great video reference ones.
There's a shot of one of the shots from the office where a cat's walking around Michael's shoulders. And the coolest thing about this is it lets the community make the product better. And I feel like we're going to enter into a world where, like, this feels like the focus of video, AI video, to me, at least. Yeah. I mean, to clarify that for folks.
So again, you can run these models locally. You can run them on your own device. You own the outputs. No company can kink the hose or take it away or change the pricing on you. And what Gavin is talking about with, like, the add-ons and capabilities, this video reference upgrade, if you will, or plug-in or bolt-on, however you want to look at it.
It will allow you to take a video and then modify it in any way. Change the character. Change the background or whatever. Now, this would be a major, major announcement for some other foundational model that would require a ton of money. It just works. And then the realism, Laura, which you experimented with, which is available on FAL as well, you can custom train your own Laura.
So now, instead of waiting for the video model to get better or understand your characters better, you can generate clips and then train the model on your look and your feel. And you start to, when you start to see these things, the reason it's important, even if you don't mess with video, but you're really concerned about a creative industry collapse or a race to the beige, you start seeing tools like these things come out and the way people modify them.
And you go, oh, your custom Laura, your custom taste, your art style that you train the model on suddenly becomes a differentiator, a tool in your tool chest that no one else has because you've taken the time to train it and make it. And if you want to share it with the world, you can. And that's just one example of the infinite possibilities.
Or that becomes a value prop, right? That becomes a value prop for you, the creator, because you were, you trained it. And even if somebody is going to yank it, I know this is the world that we're living in, but like you can say, hey, I made this thing, donate or buy it from me. And like, that is a very cool pathway to actual creators making money.
So yes, I agree wholeheartedly. I will say like, it is so fun in some ways to be back in the muck of like the Laura world, because that has been a long time since I've been doing it. It also is so frustrating at times too, because you're like, oh my God, this is taking forever. And I understand why people buy, you know, two or three graphics card rigs, but nowadays those are going to cost you like 10 to $15,000, right?
Your rig right now, correct me if I'm wrong, it's a laptop, right? Yes, it's a laptop. Yeah. Yeah. So a year ago, getting the outputs that you got overnight from OpenAI from a foundational company would have, your jaw would be on the floor. And now we're like, oh, it takes a little while on my laptop. Yes, that's exactly right.
It does. That's exactly right. Just keep that in mind, friends. I keep trying to tell everybody when I show them AI or I use like a voice demo and I watch it write the code, when people talk about the stuff being electricity, which is why we need the data centers or water in a pipe. Ironic because it is using some. Yes.
But think about processing trillions of tokens. Yeah. Instantly. That's where we'll get, we are still in dial-up. So your interfaces will be dynamic and be flowing in real time. When you ask for something, you will see it instantly and be able to stop it, control it, manipulate it. That goes for video and audio and software and whatever.
Like it's hard to fathom, but like that's where this is heading if we manage to keep it on the rails. Yeah. Somebody, I saw somebody the other day tweet the fact that like, this is actually, it's not like 1998 or 99 in the internet. It's actually like 1993, which was an interesting placement. Again, this is for the old to understand where the internet was in 1993.
But like, that's conceivably how early this kind of whole world is right now. But I think you're right. Speed and all that other stuff. I think we're earlier. Yeah. I actually think we're earlier. I think, honestly, I think like we're, we're well past punch cards and you know, we're still probably in like a floppy disk dial-up sort of era.
You think, so you, what do you think? Like 86-ish times? Yeah. Yeah. Late 80s, early 90s. I mean, it's not a competition. I know that's a subtle nuance, but like broadband is not here yet. Right? It's not here yet. Yes. That's exactly right. Our phone certainly isn't here. Like it's going to happen with trillions of tokens.
But anyway, go follow us right now. We got a speed, we got a speed round for the rest of the show. Go follow us right now. There's a lot of great stuff here to come. Subscribe, subscribe, subscribe. Do all this stuff. Here we go. Speed round. Sunil has cut a deal with the record labels. Kevin, quick thoughts on this?
We've been new. This was going to happen. Of course, they've got new models, which apparently blow their older models or their current models away. So I'm excited to hear the output. As a user and a customer, and I know a lot of our listeners are as well, a little disappointing that you're now going to be capped as a pro user.
You can only download 20 songs a month. There's no bulk downloading. And if you're a free user, you get seven downloads for the lifetime of your account. Oh, really? Yeah. You can have an all about what's fair and what isn't, and maybe they'll massage the numbers. One thing that seems a little wrong right now is that for songs that you've already created, your download cap applies to them.
So if you've got hundreds of songs, you better start downloading them now because they will count against your monthly limit in the future. But look, I still love Suno. I think they're an incredible tool. I like the people there. They make a good product. I hope they figure this out. And I want them to be more integrated with the artists that I know and love, and everybody can play nice and be happy.
Two other quick, very quick music things. We have Phoenix Flexin. If you've not been following this, the song Rubbers has been kind of all this drama. The song Rubbers has been a hit of the summer, kind of a semi-hit of the summer, was considered people thought it was AI. The guy was denying it. Now he's saying, I never denied using AI.
Womp womp. Here we go again. And then finally, Spotify's now integrating AI personas. So if you have an AI persona that's AI music, this is their way of dealing with the influx of AI music from companies like Suno. Now they will not be recommended in their algorithms. So that is something to kind of be aware of. If you are out there trying to make the next big AI superstar, you're going to have to kind of have an awareness there at large.
Oh, sorry, Gavin. I'm so sorry that you got stepped on there by the loud triangle ringing of the dinner bell that Will's going to drop in, I'm sure, because that means, oh, it's feeding time. We got to head to the slop trot.
Whoop whoop! Slop trot! Okay, we are at the slop trot. Boy, I hope there's a header graphic there. I hope so, too. What's the slop trot, Gavin? I'm glad you asked. This is a chance for us to showcase the stuff that we're working on, the things that we like. It's all AI slop, so slop, slop, slop it up. That's right. We are actually working on quite a bit of a few things, as we said before.
I want to just quickly shout out, you may have seen our YouTube channel, I made a 20-minute video essay with my character Fig about this whole problem with the Huggy and Face hack. It was mostly all Fig doing it. It's worth looking at. I know the voice is weird. People have complained about the voice. I made a choice to make the voice that because I think it actually makes you think about it more as an AI.
But please go watch it. I'm learning how to do more stuff with Fig and Moss all the time. It is cool having my own little side studio. And I know Kevin had mentioned before we hopped on about this idea of trying to get people to come into that space. I think that's a great idea. Spend more time with it myself over the course of this week.
If you are familiar with cursedslop.com, that's where I had a previous game where you could hide a cursor and paint over it and blah, blah, blah. I'm still working on open sourcing that, by the way. I'm just cleaning up the repo. That will be available if you want to play with it. But I put a whole new game there. I saw that.
It's great. Yeah. I played it. Yeah, you can fire it up. Oh, good. Well, let me know next time because I'd like to hop in the world with you. It supports up to like, I don't know. I think it should hold like 25 players. It is far from polished and you'll know that the moment it launches in. But I really tried to be hands off with it.
Let the agents run wild. I nudge them occasionally. But it is like a vampire survivor's wave shooter with extraction. So you can go to challenge zones, kill a bunch of enemies, upgrade your character. And if you manage to get to a safe zone and extract, then you can save your progress. So when you come back, you can equip special items and abilities.
And again, you can play with your friends. It's totally multiplayer. It will likely crash because I am paying for a very cheap server. But if people like it, great. By the way, I saw the logs. Thousands of people played the last game, which is awesome. That's amazing. That's so cool. Way more than I thought would have had reach on my X account.
So thank you for that. There's going to be a lot of people mad that you've swapped it out. You've swapped out with something else now. It's a sloppy swap. Slop it up. Go to cursedslop.com. All right, everybody. We will see you soon. Thank you so much for joining us. And as always, go subscribe, follow, and listen, and say something nice to us online.
Bye-bye, y'all. See you, goon crew. No, no, goon crew. Not again. Bye. Bye. Bye.