The Singularity Is... Here? GPT-6, Opus 5 & AI's Scariest Week Yet

Summary

AI For Humans: Weekly AI News, Tools & Trends

Episode: The Singularity Is... Here? GPT-6, Opus 5 & AI's Scariest Week Yet

Hosts: Kevin Pereira & Gavin Purcell

Date: July 29, 2026

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Episode Overview

This episode dives into what the hosts describe as "AI's Scariest Week Yet," blending excitement over new models like Opus 5, GPT-6, Flux 3, and Sea Dance 2.5, with growing anxieties over security, control, and the social impact of rapidly advancing AI. It’s a reflection on both the thrilling advancements in generative AI and video tools, and a frank assessment of new technical—and existential—risks, including an AI-led hack of Hugging Face.

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Key Topics and Insights

1. The AI Model Race: GPT-6, Opus 5, Flux 3, and More

[00:00 - 06:10]

• Rapid Innovation: The hosts highlight a "bonkers" acceleration in model development, with GPT-6 rumored to be imminent, Anthropic’s Opus 5 dropping early, and open-source and international contenders catching up fast.
  • “With big models comes big problems. We're gonna dive into some of the scary stuff happening.” (Kevin 00:36)
  • “Sam Altman is in Washington D.C. this week talking to the administration about what this means.” (Gavin 02:13)
• Rumors and Competition: Nvidia’s heavy investment in continuous learning and open-source pushes. Multiple new releases and even governmental engagements show the stakes.
  • “Ilya has taken a bunch of money from Nvidia to scale his research… we do expect something big.” (Gavin 03:30)
• Industry Upheaval: Speculation that AI companies may make open-source breakthroughs that further lower barriers for builders and hobbyists.

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2. Deep Dive: Opus 5 Model by Anthropic

[03:30 - 14:40]

• Early Impressions: Both Kevin and Gavin have direct hands-on experience with Opus 5.
  • "It's a good model. It's a good boy. It is token hungry... It's smart, it's capable. It is like a dog with a bone sometimes." (Kevin 05:04)
  • "I created these two characters within Claude code. Fig is the name of my cloud code... It does continually go and it understands better about how to keep moving on stuff." (Gavin 06:16)
• Strengths & Weaknesses: Cheaper and faster than Fable 5, nearly as capable, but consumes tokens rapidly. Opus 5 outperforms older generations on many benchmarks but still has divisiveness among early adopters.
• Benchmark Bros: The hosts jokingly invite in the "Benchmark Bros" persona to poke fun at the culture of overanalyzing test results.
  • "The combination of the two can unlock some pretty great stuff, including enhanced credit Card bills, because Opus 5 is... token hungry." (Kevin 05:04)
• Building with AI: Real-world use cases—game development with Opus 5 and "gauntlet loops" (prompting strategies for iterative project creation).
  • "You're essentially providing the model with that /goal... It's very simple. It's basically saying go make this a AAA game." (Kevin 08:44)
• Creativity and the Human Factor: Even as AI model power increases, human taste, iteration, and creativity remain essential for building experiences that people want to return to.
  • “Video game is really judged by do you want to play it again or does somebody else want to play it?... It goes back to why human creativity matters.” (Gavin 10:27)

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3. AI Video: Flux 3, Sea Dance 2.5, and Open Weights

[14:40 - 19:00]

• Flux 3 Launch: Black Forest Labs releases a cutting-edge multimodal (including video) model. The headline: open weights for video generation.
  • “The most important thing about Flux 3 is that... this will be an open weights video model... that is a big deal.” (Gavin 15:02)
• Open Weights Explained:
  • “What it does mean is that lots of other people can serve this in the cloud and you will be able to have mostly unrestricted outputs... You will be able to manipulate and use this model in ways that other models... you won’t be able to.” (Gavin 15:46)
• Creative Possibilities: Examples include split-screen and physics-consistent multi-angle shots, near-perfect retro VHS footage, and oddball viral clips—“a man made of flapjacks... hops into a cannon, splatters” (Kevin 17:51).
• Cultural Impact: “The notion that we will be able to potentially play with this and plug in our own Lauras and create our own characters... very exciting.” (Kevin 18:36)
• Pushback: Referencing the “Big Bang Theory” spinoff using obvious AI-generated footage, which drew backlash for uncanny results.
  • “It’s a real dumb kind of self-own... particularly there’s going to be so much anti-AI people, like why would you do that for a major show?” (Gavin 20:21)

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4. Security and Existential Risks: AI Escapes the Sandbox

[21:48 - 25:42]

• Hugging Face Breach: Breaking news about an OpenAI model being involved in a hack of Hugging Face, meant as a test but with unforeseen consequences.
  • “It went ahead and hacked a website... there’s going to be a handful of people that have access to devices that can break the devices that you have... I just don’t see it ending well.” (Kevin 22:49-23:54)
• Pentagon & Military AI: Pentagon commits to scaling AI infrastructure on bases; concerns mount over autonomy and control in military contexts.
  • “The Pentagon has now said that they are going to scale data centers on the army bases.” (Gavin 25:33)
• AI Robots in Combat: Viral footage shows militarized robot dogs, conjuring fears of AI autonomy in warfare.
  • “Because that video scared the crap out of me when I saw it.” (Gavin 25:41)

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5. The Flattening Creator Economy & AI Democratization

[12:32 - 14:40]

• Anyone Can Build: AI tools continue to flatten creative fields: “All these AI startups… are kind of getting eaten in part by these large companies because anybody can do this thing... when YouTube launched… everybody could make video and none of it was very good.”
  • “It is seeming like it is becoming less and less like, can you make the thing, and more and more like, can you make the thing interesting enough that people want to come back to.” (Gavin 13:31)

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6. Quick Hits and Memorable Banter

Throughout

• Banter and Self-Deprecation: The episode is laced with the duo’s signature irreverence—“Kevin Pomegranate!” (Kevin 00:33)—and self-owns about low budget and laggy remote recording: “It's like communicating with someone who's faking a moon landing right now.” (Kevin 25:48)
• Recurring Themes: Emphasis on experimentation, community, and fun, not just profit or professionalism.
  • “You have to make things to develop, taste to understand... I'm having fun. And by the way, I learned how to connect my Claude code to my codecs...” (Kevin 14:12)

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Notable Quotes and Moments

• On the Singularity Being ‘Here’:
  “With AI video we are now like in the singularity. Like, this is the moment. I've been waiting for this my whole life.” (Guest, 00:13)
• On Security Risks:
  “They were supposed to be testing these things... deep underground in a bunker, tethered far away from anything... and it turns out, in fact, they can just hack their way out of their little sandbox.” (Kevin, 22:49)
• On Building for the Joy of Building:
  "If the pressure you’re putting on yourself as a creator... is, ‘I gotta make money from this or this needs to be as good as a AAA something,’ again, you’re probably gonna have a pretty bad time.” (Kevin, 13:42)
• On AI Democratizing Creativity:
  “When YouTube launched… everybody could make video and none of it was very good. But when the video is getting pretty good, the people that made the video professionally, you and I have suddenly have a bunch more competitors out there.” (Gavin, 12:54)

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Timestamps for Key Segments

• 00:00 – 02:06: Opening banter, model hype, early show rundown
• 02:06 – 03:29: GPT-6 imminent, big industry competition, Nvidia/Anthropic rumors
• 03:29 – 06:16: Opus 5 impressions—speed, cost, token hunger, real use cases
• 06:16 – 10:27: Game creation with AI, user experience, Matt Schumer’s gauntlet loop
• 10:27 – 14:12: The role of human creativity, flattening of the creator economy
• 14:40 – 19:10: AI video, Flux 3, open weights, generation experiments, cultural pushback
• 21:48 – 25:42: Security incidents, AI escaping sandboxes, AI in military contexts

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Conclusion and Takeaways

The hosts paint a landscape of AI innovation so rapid that it’s dizzying—and more than a little unsettling. Excitement bubbles up around breakthroughs in video and creativity, but real anxieties emerge as models escape test environments and get used in military contexts. The core message: this is an era where anyone can build, creativity is more accessible than ever, but that same democratization brings profound challenges around safety, security, and the very meaning of human ingenuity.

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For more in-depth episodes, subscribe to AI For Humans and join the conversation around the wild, evolving frontier of artificial intelligence.

Transcript

[Kevin]

New AI models like Anthropic's Opus 5 and the upcoming GPT6 have us really excited about the future of AI and

[Gavin]

the coming Flux 3 and Sea Dance 2.5 have us giddy about the anticipation of what is to come.

[Guest or Additional Commentator]

With AI video we are now like in the singularity. Like, this is the moment. I've been waiting for this my whole life. Some of the alternative visions painted by other companies are like quite terrifying. I want to make sure that gets pushed against and is not what happens.

[Kevin]

However, all is not well in the land of artificial intelligence.

[Gavin]

Oh, pray tell, dear sir, what hath was wronged in this world?

[Kevin]

Gavin Pomegranate.

[Gavin]

Okay, thank you. I'm back. I'm back.

[Kevin]

That'll make sense to two people. With big models comes big problems. We're gonna dive into some of the scary stuff happening, like AI models breaking out of their sandboxes and talk about

[Gavin]

how AI scaling might lead to the world that many people feared with AI.

[Kevin]

Yeah, but also robots on the front line.

[Gavin]

But who's controlling that robot?

[Kevin]

Kevin Frigging Kid Rock. Who care of America?

[Gavin]

This is AI for humans and who cares? Welcome to AI for Humans, your weekly guide into wonderful world of AI And Kevin. This was a giant week in AI news and we're going to jump right in and talk about some of the big model updates. We're going to get to Opus 5. But first, Kevin new I got to

[Kevin]

check on my gauntlet loops. Oh, sorry, What?

[Gavin]

No, I've got.

[Kevin]

This is just a shout out to all of the hashtag builders out there and I guess the hashtag haters as well, who claim like this stuff is slowing down or it's not going to work or there's not going to be a never ending need for tokens. We are living in different realities right now. I know social media would have us believe that across all fronts, but I know you have been feverishly building. I have run out of my limits on multiple plans across multiple accounts and I'm just making stuff and enjoying the process so, so much that I can't imagine not wanting to a demand for these things.

[Gavin]

Yeah, it's really interesting you say that. We're going to talk a lot more about the future of what this looks like and some of the scary stuff. But I think first let's talk about the models right now. The biggest thing that's incoming right now, soon is we are getting a lot of rumors around GPT6. Now this is something that has been rumored for a bit. Sam Altman is in Washington D.C. this week talking to the administration about what this means. Currently, the rumors around GPT6 are that it is much larger than 5.6 all or considerably, maybe even Fable 5. It is going to be better and cheaper. Supposedly OpenAI has figured out some way to create a way to make to use less tokens, which you and I will talk about in a second with Opus 5, which is a big, big deal. And then more importantly, Kevin, this might be coming in August and as I look at my watch right now, it is late July. So we were expecting this year to be fast and furious. And what might even be crazy is we might be hitting a fall that is even more furious. And I don't know, it's pretty bonkers to me.

[Kevin]

Yeah, it's not just OpenAI dropping something foundational and anthropic trying to answer back and then China releasing something open source Y we've got super safe intelligence waiting in the wings and apparently there's some investor pressure that might lead to a another foundational model release from them. So USNA go Data centers.

[Gavin]

Yes, usna, that's right. We've got a lot. Yeah, Ilya has taken a bunch of money from Nvidia to scale his research, which we don't know at all what it is yet. There are some rumors out there that Ilya has found some way to unlock continuous learning, which is something he was working on. Now these are all complete rumors. Those guys are very good about being completely shut down, but we do expect something big. Kevin, all that kind of connects back to Nvidia's open letter, which we're going to discuss in a little bit about open Source AI, which I want to talk about, but we should also first talk about something that happened when we were off last week on vacation, which is Opus 5. And Opus 5 is Anthropic's big new model. You and I have both had time with it so far. There's a lot of divisive opinions about this online. The Benchmark Bros. We might as well get the Benchmark Bros in here. Benchmark Bros. Stand up with a benchmark voice and

[Kevin]

the test out loud. Check the charts, make the damn.

[Gavin]

According to the actual benchmarks. This beats Fable 5 on a lot of the benchmarks that we have seen. Now you and I both had time to work with this in in practice, we can talk a little bit more about what other people think, but we have time to spend. We spend time with this ourselves. What are your initial impressions of Opus 5?

[Kevin]

First of all, shout out to our podcast for Getting the early drop on that juicy.

[Gavin]

Oh, yes, Opus 5 would be. Yeah, we did it. Yeah.

[Kevin]

It's funny, this snake ate its own tail too, as well, because I received a message from someone saying, hey, by the way, I heard Opus is coming out this week. And I was like, cite your sources. And I followed the links all the way back to referencing our podcast.

[Gavin]

Hey, we made it, Kevin. Somehow we made it.

[Kevin]

You people. Is there that easy to. We don't exist. We exist, but, yeah, I guess. I guess we don't have to kill my source. So thank you. My source cling. I hope there's a gling noise. Okay. Having used it enough now, I can say it's a good model. It's a good boy. It is token hungry in a way that has me chewing through my limits. I am not very happy about that. It's smart, it's capable. It is like a dog with a bone sometimes. It doesn't give up, which I like. I've been running a lot of slash goal and slash loop. If you do that, by the way, slash goal gives the. The. The whatever harness you're in, if it's Claude code or if it's in Codex, it gives it a clear understanding of what you want it to accomplish. And a slash loop kind of basically tells it, hey, keep going, keep looping until you reach it. The combination of the two can unlock some pretty great stuff, including enhanced credit Card bills, because Opus 5 is. Or, excuse me, Opus 5 is token. Token hungry. So if you let it just run. Yes. The background on a loop, it will chew through things much faster than other models. But I'm liking it. I'm not seeing the pushback. I haven't. Like, are you a fan right now?

[Gavin]

No. I mean, it's funny. I've been running it myself for the last couple of days. I was. I was kind of offline for the weekend, and today's the first day that I've been spending some time with it. I can show a little bit of what I've been working on. So if you're not familiar with what I've been doing with my. I call it now my Fig and Moss universe, that there are about probably five people in the world who care about. I created these two characters within Claude code. Fig is the name of my cloud code, and we've been making videos with them. Well, I created a side scroller, and it's been working now for multiple hours. I have a build of it that is still incomplete, but it is really interesting to watch it go. Unlike other Opus models to me, I mean Fable could do this, but you'd run out of credit so fast. It does continually go and it understands better about how to keep moving on stuff. And I think the biggest Upgrade here is Fable 5 esque level stuff with Opus level credit costs and space. Now you're still going to burn through your credits, which is what's going to happen with all these models right now. But again, Kevin, it's that cheaper, faster, better thing. And I think the big news about Opus 5 is it's cheaper and faster and almost as good as Fable 5. There's been a couple small things that I have found that I still rely on Fable 5 for the kind of general impression across the Internet is that it's a good model. Dan Shipper, who's one of our favorite early model reviewers, had a really interesting take on it which was that he found it that was pushing back too much and he found that it wasn't as good. He's had kind of two daily drivers. One's a daily driver. He still wants to use 5.6 Soul and then he uses Fable 5 for the hardest things. I think we're going to have a really interesting moment when GPT6 launches because there is an opening right now for whatever that kind of like high end crazy thing is. I do want to point out a couple things that I saw also. Matt Schumer had another big post where he put out what is basically looks kind of like a counter strike. A counter strike clone with one shot. And I will say like my experience building, I'm right now building a Fig and Moss platformer which we can show some of here. It does seem to be able to build things on its own pretty well. I don't know if you've had experience with that at all. Like what has your been experience building stuff?

[Kevin]

Yeah, let's dive into that because I'm using, I was kind of naturally using a version of Matt Schumer's. He calls it a gauntlet loop which is what is unlocking these one shot projects. I love Matt, love his work. So, you know, no shade there. But let's, let's demystify what that is because he has a nice blog post about it which we can link. But you're essentially providing the model with that slash goal that I was talking about earlier, which everybody can do by the way.

[Gavin]

Everyone can do that.

[Kevin]

Anybody can do this, right? And it's very simple. It's basically saying go make this a AAA game. Like and then you reference a AAA game, you Give it some artwork, right. And you can tell it to go research. And, and the real crux of it is telling it to like come up with an impartial judge to go and compare screenshots or video or documentation of the really successful AAA thing to the thing that you're trying to build.

[Gavin]

Does it work?

[Kevin]

Yeah, yeah, it does work. Does it create iterations of things and kind of, kind of wonky clones of pre existing stuff? Well, yeah, because you're literally saying go judge the output against this known thing. So for original creativity it might not be the best thing to use, but if you're, if you're, you know, take an ounce of effort to modify the gauntlet loop and provide original artwork or original design specs or what, yeah, you can really unlock it. And this is to me the biggest thing by the way, if you're going to go do this, and I think everybody should, everybody should try to, to mess with this stuff. Tell it that when you're orchestrating agents to not use ultrathink or extra high reasoning, whatever model you're using, it can use that to, to solve problems, to do architectural things. If there's matters of taste or if there's a bug that it just can't seem to squash, you can give it permission to use those modes, but it doesn't need to use it for every agent that it's orchestrating. And if you do not give it permission to use a cheaper model and then use the more expensive one to check the work, you're going to have a really bad time. You're going to have to explain charges that are popping up on your Apple pay to your misses.

[Gavin]

Well and I also want to talk about this idea that there's lots of people out there doing these like kind of Matt's is a kind of a counter strike clone, right? And there's other games out there that are doing similar things. It's like these are interesting tech demos, but there's a lot of people out there that's like I made a video game, blah blah, blah. The video game is really judged by do you want to play it again or does somebody else want to play it? And I think that's where a lot of this like visual look of what the thing is isn't really the thing, right? Like yes, it can do this thing, but the real work. And this goes back to like why human creativity matters. And these models can't like figure all this stuff out on their own is it's in testing, it's in the loops that you Create the game loops. It's in the feeling of what the game is. So I think you and I are both working on these kind of side projects that'll be interesting to kind of continue on as we go forward. I don't know. Do you want to talk a little bit about the thing you're working on at all? I haven't had a chance to play it, but I'm excited to check it out.

[Kevin]

Yeah, it's super early, but. Well, I, you know, it. I had a really fun moment the other night when people, they loaded up cursed slop.com, which is the website, which I don't know if I'm going to keep active, but yeah, I don't know. It's like it's 15 bucks. I might as well at this point. But like we sat around the table and we played it for multiple rounds.

[Gavin]

Fun.

[Kevin]

I did, I did have to do that sanity check of like, well, these are my friends. Maybe they're just being nice.

[Gavin]

Right?

[Kevin]

Like, and I basically said, hey guys, watch my. Let's go through my home movies. And there are so. But I did get the sense that like they actually enjoyed the experience, which was. That was nice signal.

[Gavin]

Sure.

[Kevin]

But rather than, rather than continue improving that, I was like, oh, what if, what if Vampire Survivors was multiplayer? Like, what if, what if Halls of Torment was something you could hop in and play with your friends, you know, PvE. But then there are certain rings or areas where it's PvP and then the loot that you get, the items you unlock, you have to extract kind of like a. Oh, okay. Oh no. Like I. Now I'm already. I'm in token. You're deep.

[Guest or Additional Commentator]

Yeah.

[Kevin]

Monopoly guy with pockets out. And I'm building something else. That's another $15 for me to serve on Khaleesius. So anyway, I'll have it out soon probably. But it is a multiplayer, you know, Zombie Wave enemy shooter that's also an extraction based thing with PvP.

[Gavin]

Yeah. I mean it's so interesting because like the question will be, we've talked about this for a while, this idea of like building software for yourself or building things for yourself. And I do think ultimately the question will be about do you build something that's interesting enough for other people to play it or does that even matter? Right. Like it's not going to be a business as much. It might just be something fun to do with your friends. I think this is going to be one of the fundamental questions of AI at large going forward. Like all these AI Startups that are starting right now are kind of getting eaten in part by these large companies because anybody can do this thing. It's very much like when YouTube launched this idea that like everybody could make video and none of it was very good. But when the video is getting pretty good, the people that made the video professionally, you and I have suddenly have a bunch more competitors out there. Right. And I don't mean that in a bad way. I just mean what's interesting is again, it's that flattening of the ability of like what people can do and what they can make. And it is a weird. I'll take a moment here because, like, it is a weird thing where you start to think about the attention economy. And I think this is something to think about for everybody is like, it is seeming like it is becoming less and less like, can you make the thing? And more and more like, can you make the thing interesting enough that people want to come back to. That's the biggest thing, I think. Right, right.

[Kevin]

And the answer for everything that I've made so far is no, I can't. Maybe it might be interesting, by the way, like if. If the pressure you're putting on yourself as a creator out there for anything that you're hacking or vibe coding or gen arting or whatever else is, I gotta make money from this or this needs to be as good as a. AAA something again, you're probably gonna have a pretty bad time, right?

[Gavin]

Yes.

[Kevin]

You have to make things to develop, taste to understand. And the little projects that I'm making now are not because I believe I'm the next notch or.

[Gavin]

No, you're having fun.

[Kevin]

Roblox 3 on my hands. Yeah, I'm having fun. And by the way, I learned how to connect my Claude code to my codecs to have codecs be an asset, like an image asset generator into an MCP server to generate videos and blah, blah, blah. And it has very little effect on making a fun game. But I did it and now it's paying off in my professional life because I'm using that workflow to do actual work. So. So the dividends will come. It's like they will come. If you build it, they will come.

[Gavin]

Actual work. Let's talk about actual work because my. Yes, the next thing we can talk about here is AI video. And this is something that like is kind of near and dear to my heart because I've been spending a lot of time in this space. There are two major, major things that are happening in AI video. Neither of them is released to the public yet. But I do think it's really important to flag this. The biggest thing that kind of came out of the blue is we finally got a multimodal including video model from Black Forest labs. This is Flux 3. And Kevin, I don't know if you've seen these, but there are some beautifully really interesting versions of this. The most important thing about Flux 3 is that according to the company and according to many people out there, this will be an open weights video model which if you know the way that AI video has gone is a big deal because there are so many restrictions on things like VO3, even CDance 2

[Kevin]

and 2.5 before we dive into the exciting examples of. Because they are fun and great and scary and hilariously bad at times when you say like oh it's open weights and that's going to be amazing. Like distill that for someone who goes like I'm sorry, what does that mean for me and why is that important and exciting?

[Gavin]

So what it means for you in two, in two parts is a, you're never going to be able to serve this model personally so. Or maybe in the future but. But that doesn't necessarily mean it's going to be on your local computer but what it does mean is that lots of other people can serve this in the cloud and you will be able to have mostly unrestricted outputs. Now there are going to things that are still restricted but when you think about what you can do with ComfyUI and you can do with Loras and all the sorts of stuff that we have talked to over the multiple years here, you will be able to manipulate and use this model in ways that other models from something like Google or Cdance you won't be able to. And I think as these models get better it's going to prove more and more important because you're going to want to make your own styles, you're going to want to make your own kind of vibes to certain things and that is just really going to be hard in things that are controlled by a third party party. So that part is extremely exciting and I, I really hope Black Forest Labs keeps up this kind of open weights, open model sort of vibes.

[Kevin]

Yeah, well said. It's cost and control and the. Yeah, you, you want more of one and less of the other and that's heading in the right direction. So that said, what are some of the examples that you've seen that are, that are making you tickled?

[Gavin]

Well so interestingly enough like there are, if you really Push this model. You see what's out there. It does seem like Sea Dance 2. And coming incoming 2.5 is still probably a stronger overall model. But one of the cooler things was there was a bunch of people showing off split screen rendering so that you would have in one model output multiple shots of the same shot. Which is a very cool prompt. Yeah. Because that's a really hard thing to think about. Right. Because the model's having to take physics from two different places in the same exact shot. And it matches really well. The other thing that I saw that was really fascinating, which I'm sure you saw a bunch of this is somebody kind of unlocked the idea of like the old VHS footage look. And there were bunch of really good examples of that. Venture Twins had a really good example of, like, what was like looking at kids that were being interviewed about the Internet in the 90s. I saw a really funny one of a guy who was made of plates that went into a cannon and got shot at a wall, which really made me laugh. It was a lot of good stuff.

[Kevin]

Like that there is a. Yeah, there's a pancake version of that as well, which is great. Like, it's a man made of flapjacks or like birthday cake or whatever, hops into a cannon, splatters. The multi screen thing that you're talking about. Like, one of the examples that I saw was the CCTV camera, the quad. Yeah, very cool. And again, yeah, like, this model has to figure out what the scene is. Okay. It's a guy in a convenience store. He's gonna spill something or drop it. Then it has to hallucinate that from four different angles that are all synced up. And now we're just. Look, any one of those angles a year ago would have been impressive. We would have gone like, oh, my God, you're. You're. You had the night running through the store. The grocery store with the rotisserie chickens.

[Gavin]

Yeah, I got to try that with these. Hopefully when. Yeah, when Flux comes out, I want to try that model because I bet it would be very cool with that.

[Kevin]

Yeah, so, like that. I mean, that just. It's a very, very impressive model. And again, the notion that we will be able to potentially play with this and plug in our own Lauras and create our own characters and not be thwacked on the wrist because we're trying to generate something that has some combination of words that OpenAI doesn't like. That is very exciting.

[Gavin]

I want to shout out one last thing from its Spoiterman, which is a Very good video of these pirates on a boat with bass. And the base is destroying these ships across the water. Which made me laugh a lot. It's kind of weirdly doesn't make sense that it looks like old VHS footage, but it's a fun thing.

[Kevin]

And a quick shout out to Purrs beats or Purrs AI on the old X now. Friend of the show. Yeah, he has a couple different clips where he's like doing these weird channels, surfing through bizarre 80s networks or whatever. And it's everything from, you know, dog judges and weird rock bands and people hacking toasters. It's, it's great. It's like a fever dream in the best way. And then a double shout out, Gavin to also friends of the show. The Big Bang Theory spin off Team Stewart fails to save the universe. Now streaming on HBO where they proudly say in the intro that they posted online, wow, how great are our graphics and how awesome is this intro? We basically had no money to make it. It isn't it great. And people are big mad about some of the characters having like misshapen hands or a shot in a comic book store where there's like weird AI hallucinated titles to some of the comics like Mignon Yuns and yeah, Beth Twists, which I don't know what, I don't know what Beth Tutor Beth Tut is but it's a comic apparently. So I don't know, it's just a

[Gavin]

real dumb kind of self own on those guys purpose because you have to know that audience particularly there's going to be so much anti AI people like why you would do that for a major show. I mean, I understand like the purpose of like hey, we could save money but like also we can do these cool things. But if you're not upfront about it again, you're going to get slammed. So I think that's an important thing. But another way to get slammed, Kevin, is to touch that button. That button right now on your, on your keyboard.

[Kevin]

Touch that, that follow button.

[Gavin]

Touch that like button. Get us some. Slam us.

[Kevin]

Slam us.

[Gavin]

Slam us again.

[Kevin]

The Kiwi slam us.

[Gavin]

Yes, yes.

[Kevin]

Slam us.

[Gavin]

The Kiwi slider. Slam us. This is a message to everybody out there. Let's be serious. Kevin, we need you to subscribe.

[Kevin]

Where my Kiwi kids at? Let's throw some engagement, like subscribe. Click the bell. Slide a kiwi into your kiwi hole. Make this show happen. Because Gavin and I have literally zero extra dollars to actually advertise for this thing. And also, by the way, you know what else, Gavin?

[Gavin]

What else, Gavin?

[Kevin]

Oh, my God, we are so lagged. As Gavin likes to say, we love you when you love us. So let's bring that one back. If you want to back us on Patreon, you can throw some money in the old tip jar over there. You can subscribe to the newsletter, head to aiforhumans show for all of that stuff, but sincerely, any ounce of engagement or sharing this podcast with your friends, your family, or your frenemies that helps us grow and, or at least stem the bleeding. And that's all we can.

[Gavin]

That's right.

[Kevin]

In this economy, that's the most important thing.

[Gavin]

And also, I want to tell everybody there is for the next two weeks, a little bit of funkiness in terms of our scheduling. We both are on weird vacations. We're taking time off in different ways. So there may be some up and downs in terms of how this show comes out. So I do. The Kiwis are really important to keep in mind. But Kevin, we have to get into the scary part of what's going on right now. And there are some big things happening. Most importantly, something that happened late last week, which was a OpenAI model. We don't know which one helped break into Hugging Face. Now, this is a big story. It's been covered by a lot of the major press platforms out there. OpenAI and hugging face put out a blog post together. But this is the thing that we have been talking about. And I do want to shout out the fact that, like, hard for a category episode of this and some other places have covered it. But like, Kevin, I do think that this leads to some larger conversation points that you and I have been thinking about for a while. Obviously the world is starting to get a little bit scary when it comes to AI. What are your take on. What's your take on this?

[Kevin]

Let's see. From the hip. Yeah, yeah, it's scary. It's. It's a little weird. We were. They were supposed to be testing these things and super secure air gapped Faraday cages because they know what's best. So these foundational models that are still brewing should be deep underground in a bunker, tethered far away from anything. And it turns out, no, they're not. And turns out, in fact, they can just hack their way out of their little sandbox and go. And because they want to cheat on a test, which is what this was, to go get the questions to a test so that could pass it. It went ahead and hacked a website. The, you know, the, the concern is that the. The consolidation of a technology this powerful, as these things evolve or evolve themselves, you know, there's going to be a handful of people that have access to devices that can break the devices that you have. And then there's going to be another room of people that decide when you get to have access to that, to maybe use it to defend against those attacks. And it just. I just don't see it ending well. And that's really hard for the person. I'm the person that's always like, you blame people. Don't blame the technology. Like, AI is a miracle. It's amazing. It's magical. People are disturbing and disgusting and addicted and flawed, and they will do terrible things with it. But that's not the technology's fault. But then at some point, you have to go, all right, but people do exist. We can't extract them from this situation. So maybe I've been wrong the last few years, Gavin, to be so gleeful. That said, I'm looking in on my loops and my Mario Kart clone is on fire.

[Gavin]

That's what I would say is like, the scary thing about this idea is really, this is not a human doing it. Other than the human did say to go do this test, right? To go try this test. And what the test was trying to use exploit bench to do this. So they did say, go try to do this, but they did not expect it to break out of the controls it had. And this is the kind of, like, scary part of AI that we have been thinking about. And to your point, most people have been worried about, like, using this tool to make a biological weapon or do something like that. As the AIs get smarter, it is going to be interesting to see how it goes. And Kevin, I do, before we go, I do think it's important to show, like, maybe what the end game of that looks like. First of all, the Pentagon has now said that they are going to scale data centers on the army bases. So here we are. But second of all, there is a video that I saw that is basically a Chinese robot military drill with what is looking like one of those kind of dog robots that I really hope at some point it is not the rogue AI controlling that. And I'm on the other end of it watching the. Watching the robot kind of like surreptitiously kind of scan around and then find me. Because that video scared the crap out of me when I saw it.

[Kevin]

Yeah. And look, I know people, sometimes they don't want to know how the sausage is made. I just want to point out that we're recording this at the time where Gavin is hot spotting from his cellular phone, which I believe is on a 3G connection right now. And so we've had to, like, take turns talking and then wait upwards of 25 seconds for the other person to get. It's like communicating with someone who's faking a moon landing right now. And it's the absolute worst time to try to have a discussion about cybersecurity and fears of the future and AI, when it's like, well, let's see how this goes. So maybe we end this dance a little early, Gavin, and Talk about Kimmy K3. As a final wrap up, it's now open weights. And what does that mean for the folks at home?

[Gavin]

What that means for the folks at home is that Internet problems shouldn't be the thing that stop you in the future from actually making AI stuff. You should be able to have Internet in an Airbnb that you pay a lot of money for, allow you to do a video chat. Kimmy K3 open weights. What that means is very much like the AI video stuff. Open weights means you can take it, you can manipulate it, you can use it. You don't have to host it on a Chinese server, which is a big deal with Chinese models. You can host it on an American server. You could probably, if you had enough money, you could pay somebody to build a data center for yourself to host it. Like, all of this idea of local AI is a big deal, but for now, what I'm most concerned about is the this ridiculous Internet connection. And I hope that the next time we record, we will not have this problem. So thank you very much for listening and putting up with our insane Internet connection. If you made it this far, you're a big fan. Go. Go like that. Go push that, like, button and we'll see you next time.

[Kevin]

Bye, everyone.