AIForHumansOpenAICodex53Opus46

Kevin Pereira: [00:00:00] We got two new Frontier AI models from Open AI and Anthropic. They are pushing us a little closer to the edge of self replicating ai.

Gavin Purcell: Yep. We'll tell you how Cloud Opus 4.6 and open AI's GPT 5.3 Codex have gotten so good at writing code that the code can write itself.

Kevin Pereira: These new models are actually really promising.

They can make your job easier, they can make your life a little better, and they may even

Gavin Purcell: bring about the downfall.

Kevin Pereira: That's, well, there are some concerns. Yes. We'll discuss and we'll follow up on Open Claw. The T book craziness from last week will also show you how you, a real fleshy human might soon be doing beer runs for an AI

Gavin Purcell: and K clings new AI video model

is

Kevin Pereira: out.

It

Gavin Purcell: is

Kevin Pereira: great, but

Gavin Purcell: you must

Kevin Pereira: first learn how to use it.

Speaker 3: Robert Ventra the.

Gavin Purcell: I care you do want Tu about your species incel

Kevin Pereira: perfect. Plus [00:01:00] we got new AI tech from Roblox Grok. Imagine 1.0 officially launched and we're sending unit tree robots to run marathons in a snowy tundra.

Gavin Purcell: And I just wanna say once again, for the record and for all the ais out there listening, that was not me and blame Kevin for everything on this show.

Wait.

Kevin Pereira: No wait, no. Hold on. What?

Gavin Purcell: This is AI for Humans. Kevin,

welcome, welcome, welcome everybody to AI for Humans, the Weekly Guide into the wonderful wild world of ai. Kevin, what a crazy, uh, couple days we have had here. I'm always hesitant to say that is a big week, but it is another big week. We had two frontier models drop within 20 minutes of each other. Crazy.

Sam Altman was waiting. He was kind of pou, ready to pounce. He was waiting for the thing to drop. So we had this

Kevin Pereira: crazy Sam at my frontier emporium of intelligence. Come on down. These prices are so low. I got tokens coming outta my ears. [00:02:00]

Gavin Purcell: We, we are gonna talk about Sam and OpenAI and kind of like. They're very defensive right now.

You can tell they've got their backs against the wall. We're gonna talk about some tweets that they sent, but first, Kevin, two big things. Let's talk about these. So two big models launched Opus 4.6, and this is the new Frontier, LLM from Anthropic. Their most powerful model and. Open ai, GPT dash 5.3 Space Codex.

And this is their, this is their frontier model. You have to say the

Kevin Pereira: space, you have to say it.

Gavin Purcell: This is their frontier model specifically for coding. And Kevin, I do wanna say before we jump into what's really interesting about both of these, and they're both really good, this feels like a moment, like we, we've talked about you and I always say like, oh, this is a moment, but this is a moment where.

Kevin Pereira: Yeah.

Gavin Purcell: Ag agentic, a age agentic coding is, is really coming to the forefront. We, our, our, our state-of-the-art drops have nothing really to do. I mean, yes, they, they have to do with other things besides that, but coding is the thing that people are caring about. So I just wanna make sure [00:03:00] everybody understands, like, this is, we are, we are entering a moment.

This is where agentic coding is really a thing. So let us maybe step through these kinda one by one. Which one would you like to start with? Would you like to start with Opus or would you like to sort of start with uh, um, codex?

Kevin Pereira: Um, well that's great. I'm realizing now when you said the Codex name out loud, why did they use an M dash instead of a regular hyphen in between GPT and 5.3?

They own AI wrote.

Gavin Purcell: That's why AI

Kevin Pereira: should wrote.

Gavin Purcell: That's why

Kevin Pereira: should put it in there. Wrote it. I wrote it. Listen, I think let's, let's start with the order that, with which they appeared, which I thought was pretty great. 'cause I think like someone was at Open AI headquarters, they had turned the key, they lifted the little fiberglass safety lid and they were ready to deploy their model.

They did it milliseconds after Opus dropped. So let's start with Opix. Um, Andros Opus 4.6. If you're a benchmark boy, if you're a bench boy out there. Um, oh, you, you're very happy. You're very happy. 'cause Gavin, the numbers went up. They went up quickly. They did

Gavin Purcell: go up quite a bit on a few things across the board, especially for a 0.1 increase [00:04:00] like this.

The last one was Opus 4.5, and this is only 4.6, which normally is a little tiny, but actually pretty big increases.

Kevin Pereira: Yeah, in some categories, you know, a, a six to 7% increase on things like age agentic coding or search or even computer use. Um, office task scores going through the roof. Okay, so those are raw numbers.

Great. Two dudes yapping about numbers. Once again, what does it actually mean? This is pure anecdotal Gavin. Yes, pure anecdotal, but I am working on a project, uh, for tele now. I'm working on a, uh, I think it's literally my job to do it. Last night I was banging my head against the keyboard with Opus 4.5, spending, you know, 15, 20 minutes really trying to massage an error.

I just could not get it to go. This morning I exit Claude. I relaunch it. Oh, hey look, there's 4.6. I actually rolled back from before I started to troubleshoot this thing, and I gave it the exact same prompt that I used to try to solve an issue, which by the way, is front end of an Android app. The [00:05:00] interface, talking to an API layer, communicating with an Amazon server to update something in a table, securely, get that back, blah, blah, blah, write the test for do it, is a pretty meaty thing that was required to fix it.

Opus blinked once and it was done and it worked. Wow. One shot. That's impressive. Prompt. Same issue. So like, look, the practical takeaway, again, purely anecdotal, one little thing, um, but immediately. I notice an increase, right? Yeah. It's, it's, it's, it seemed faster. It was very capable, it understood the exact same problem, and it, and it squashed it with the prompt that I felt should have done it the first time.

Gavin Purcell: I noticed a difference too, and I'll tell you why, because I've been mostly using sonnet in Claude Code and I switched to try it. And I was working on a small project and within five minutes, it wasn't five minutes. Within like 20 minutes I was like out for the day. 'cause I only have the $20 a month plan.

Not for the day I was out, I was out, I was out of uh, tokens for a bit. But that is what I've heard. [00:06:00] In general, I think this is a big deal. So we should just be clear. Some of the increases are really interesting. Something that has happened that they have done here is there's a layer of orchestrating agents.

Now, Kevin, as our kind of like expert, I would say, like you're more of an expert. I am more of on the lean away from towards expert lane. This orchestrating experts thing is a really interesting thing that people have been talking about in AI for a while. This is the idea of sending multiple agents and giving them roles right away.

Maybe talk a little bit about how that can make a difference when you're approaching, uh, problems with a larger, sort of either a code base or a larger problem if you don't even know how to code.

Kevin Pereira: Yeah, I mean, look, rather than one model to rule it all primed with all, uh, uh, having to, to, to deal with all of the context at once that you're giving it and it trying to pull across all the skills that it knows, you can have these sort of dedicated agents or workers that have individual personalities or lanes of expertise so that when you say, Hey.

Go build me a [00:07:00] website and I wanna look good on it. Instead of just one agent having to deal with all that, they can chunk it into smaller subtasks and feed it each little task to an expert. So someone who is, um, primed, let's say I say someone, an agent that is primed to be a front end design expert, to know what colors look pretty, how the webpage should move, where the images should appear.

That's not the same agent responsible for the code. That's literally storing all the data. And serving it up out of a database. So you have this orchestration of all these agents that you sort of get outta the box and the the model is designed to work better with that.

Gavin Purcell: That's right. And one of the things that's interesting about this update, at least according to Lydia Holly, who works at Claude, is saying that now Claude code is supporting agent teams.

So not only do you have multiple different types of agents, but you have teams of agents that can essentially work in parallel. So it's almost like having your own little. Staff, like I get to be the boss, of course, always, at least for now. And then I can have for now like six different, six [00:08:00] different orgs underneath me, but underneath that org, it doesn't have to be one designer.

It could be like designer in four other designers. And like, that's a really interesting thing because when you start to think about the scale that these sort of systems can work at, and by the way, this isn't just code. It could be all sorts of other things. You start to think of your job differently, right?

Like it's like, okay, well now I have to be orchestrator. Right? That is really like think about being a conductor of an orchestra where your job is to kind of make sure that things are working in sequence. Yeah. That's kinda what orchestra, that's what conductors do, right? They kind of do this thing. They kind of move back and forth.

You put put on

Kevin Pereira: white clubs, you grab a stick, and then you do this, and then eventually someone hits a Tempe or a gong and the song's over. This is, and by the way, the, the, them working together as an orchestration is a big, big deal because Yes. Other, other software, let's say harnesses, other attempts to do this in the past, ran into issues.

Because if you have a dependency somewhere along the line of whatever project you're working on, well that might block somebody else. And so these agents Yes. Can now in real time communicate with each other, Hey, I just finished [00:09:00] this. Where's that? They go along. What, what's,

Gavin Purcell: what if one of the agents puts something the other agent doesn't like on Slack, and then it becomes a thing where that agent won't talk to the other agent?

Is

Kevin Pereira: that that gonna happen? Bot gonna run into that? Well, hr, it has to enter the conversation at some point. But the HR bot is trying to protect the foundational model. That's the, that's what they don't tell you. That's

Gavin Purcell: fair.

Kevin Pereira: The hr, the HR bot, does not care about the individual agents. They care about the, the foundation.

I digress. Fair enough. It can do all that. That now has adaptive thinking. Gavin, so no longer do you have to like toggle a switch or say, Hey. Yeah. Here's how much time I want you to spend on something. The model is responsible for going like, how big is this problem? How much do I have to think about it?

And then applying it. Early reports are that it mostly works, but sometimes it overthinks way too hard. Yes, yes. And we'll kind of go off the reservation to tackle something big, but we keep saying. Code. Code. Code, right? Because that's, they're very good at writing code. But you, you mentioned like it doesn't have to be coding.

So if you are, um, a mom and pop shop and you want to launch a social media campaign because you've got. Your new line of designer [00:10:00] crepes Gavin, well, mm-hmm. And that same workflow will apply to it spinning up a, a social ca, media calendar manager and a copywriter, and a graphic designer and everything else, whatever it is that you want to use these systems for, they can now write code and orchestrate teams to help you achieve the goal.

That's the promise of all this stuff.

Gavin Purcell: Yeah. And I think the, the thing that ties into this, and this is one more thing about, uh, uh, the new, uh, opus before we move on to the, to the open AI stuff, but like, there's a figure again, benchmark Boys, there's a figure that, um, Opus 4.6 is now beating expert humans in interpreting and, and a analyze, analyzing complex scientific figures.

So when you think of that, that sort of agentic kind of orchestration plus the intelligence that these are now at. You can throw this sort of thing at really big problems. And to your point, it doesn't have to be code problems. Like I have seen a lot of economists or people like that are throwing it at that problems.

So if you have a lot of like big thinking problems or like if you [00:11:00] have something dumb that you want to think about, waste those tokens. You're paying the money for it. You can do whatever you want. The environment doesn't matter that much, right? But. But it can actually think deeply and then do it across in different places.

I, Hey, I didn't say that. People gonna click with words in my mouth. Piece out those words. What is that? You could do whatever you want. The environment doesn't matter that much, right? You

Speaker 4: could do whatever you want. The environment doesn't matter that much.

Kevin Pereira: That was a teaser for the new cling model. Gavin would never say something like that.

That's gonna, we're gonna talk about that later, about how you can make him say that. So if you're hearing all this going, great, uh, thank you Benchmark Boys for saying this thing is so much better. What does it mean to me? How do I use it? Great question. Right? You can go to anthropic.com and you can try Claude and you can just chat with it in a window.

You can download the Anthropic, uh, Claude application. You know, I'm running it on my Mac and I have access to cowork, and so I'm using Opus 4.6 to go off and do big research tasks for me. This thing can run for. Minutes, hours, uh, there's even, uh, you know, reports of it running for weeks at a [00:12:00] time unassisted.

So you can give it a big task there. You can run the models within cursor, you can run them within cloud code. Whatever you are comfortable with, whatever you need to use it, uh, in 4.6 is available. And for like the hackery types out there that don't wanna buy the Big Max plan or whatever, it's even available in open router.

So you can go and pay as you go, um, with an open router to get access to the model. So there's a bunch of different ways

Gavin Purcell: to, yeah. I mean, but. Uh, by the way, on the low end of things that you can think about to do with this, once you do get access to Claude Cowork, which is again, if you're a, a non-technical person or you're just kind of slightly technical, Claude Cowork is kind of like Claude Code in the easy way, basically is able to access your files.

One of the easiest and most fun things to do that you will immediately find use out of is say to it. Hey, I wanna just get rid of all of the files I don't need on my computer. Like it'll go and it won't delete them right away. It'll ask you which ones you want, but it will find gigabytes of stuff that was just like, you may not know where it is and it will find it, and they can organize your computer.

So even at the very lowest level. [00:13:00] You can think of things like this, the smarter they get, the more useful they will become. So I think that's an important

Kevin Pereira: thing. And it's crazy because on Gavin's PC Hidden in all those old tax folders don't open. Like he managed to spell I think 17 different ways and it caught all of them.

So big. Shout out to Opus 4.6. You

Gavin Purcell: know, I, I had a nice meeting this week with a bunch of teachers where I heard about some of them were letting their students listen to our show and I just wanna say thank you teachers. And thank you Kevin, for always keeping us on the top level. Hey,

Kevin Pereira: they're gonna learn at some point, Gavin, as I always say, might as well be from us.

Gavin Purcell: Let's move on. Let's move on to Codex. ePEP, please

Speaker 5: bleep.

Gavin Purcell: Now bleep that and bleep

Kevin Pereira: it.

Gavin Purcell: Bleep. And then bleep, bleep. Let's move on to opening I Codex. So again, what was so interesting about this to me, first of all, Kodak's another great, uh, agentic coding model. Um, this is not gonna be available in normal chat GBT, yet it is open AI again.

Dash G pt, uh, dash [00:14:00] 5.3, space Codex. This is their, their model that is actually created for coding. And Kevin, what was so fascinating to me is like, they must have known, I can just see Sam, like smiling because like these, the Benchmark boys came out for Opus and every, all the Benchmark boys were like, woo, we made it.

And then look

Kevin Pereira: at these numbers.

Gavin Purcell: But the Codex came out and then the terminal bench number, which is a, a, a benchmark that shows you how good it is. It actually at coding right? Turned out to be 10% higher than Opus 4.6. So like, this was Sam, like doing this little dance. What is interesting about Codex Kevin?

It is a, it is a, a specific model that they have created. OpenAI is created for coding, but they also then just dropped a Codex Mac app this week, which to me. Looks a whole lot like Claude Cowork, or at least Claude Code, but really more like Claude Cowork, right. Is a very open, very normy friendly app that you can go try.

Um, you also spend some time with this model, correct. You spend a little bit of time working with this. So Impress, tell us about that. Impress.

Kevin Pereira: Yes. So I am now using a [00:15:00] blend of both Claude Code and now Codex. Um, codex is, is kind of a joy to work in thus far, mostly because wow. That 5.2, which is what I was using a couple days ago.

And now 5.3 Codex. It's Fast Space

Gavin Purcell: Codex. It's 5.3 Space Codex.

Kevin Pereira: Space Codex. Yes. Thank you. Sorry. 5G PT hyphen 5.3 Space Codex. Um, well, it'll blow your mind by the way, Gavin, because in the actual Codex app, there's a hyphen after the three in between Codex.

Gavin Purcell: Oh.

Kevin Pereira: I'm gonna send you a screenshot right now.

Let's, I'll

Gavin Purcell: spend 20 minutes on this. So let's keep going. Let's keep

Kevin Pereira: going. This is why our view count is stagnant, but I'm gonna send it to you.

Gavin Purcell: Okay,

Kevin Pereira: great. Because this will just blow your mind and make you even more bad. Um, so, so Codex, um, is, uh, an application that tries to replace or make, make pretty and simple the IDE, the, the environment with which you're developing software, um, and, and, and creating code.

It is trying to be a, a. Pretty [00:16:00] simple, um, chat like interface for developing complex pieces of software. And while you can still connect it to your GitHub and run terminal commands and keep things sandboxed and blah, blah, blah, if you don't know what any of that stuff is. You can download Codex, fired it up, use GPT 5.3, which is really, really powerful, and just start whispering your desires to it and it will interview you back.

Much like a Claude Code. You can start building things. Uh, it will even assist you with running them. And then if you want to unlock further power, you can take those projects, open them within cursor, open them in other applications and get it done. But I have been using. Codex as my, the, the 5.2 and 5.3 as my daily driver now for all of my projects and I am, um.

I'm much more satisfied with the natural language that I can use to get targeted fixes. Um, I explain more

Gavin Purcell: satisfaction. More satisfaction. That's what we're saying.

Kevin Pereira: Yeah. General satisfaction number went up. Benchmark boys. More SATs. Mm, more SATs per minute. [00:17:00] Um, I gave it Gavin Versus

Gavin Purcell: cloud code. Versus cloud

Kevin Pereira: code versus cloud code, yes.

Versus cloud code. Now, I, I gave it a simple task of like, Hey. There's an interface issue where this window is overlapping with this other window, and I'm getting a transparency, blah, blah, blah. I did not feed it a screenshot. I didn't even say explicitly where it appears in the app. I just sort of vaguely described it.

I hid it. It crawled my code base and says, oh, I think I see where that's happening. It's when a user clicks on this and this screen happens. It was absolutely right. It fixed it in one shot. Wow. But again, like it's working and I looked, um, the, uh, evry Teo, um, we love the folks at Evry. They do really good write-ups, very, they have really good workshops about ai.

They did a vibe code Codex versus I saw that

Gavin Purcell: Yeah.

Kevin Pereira: Thing. Yeah. I watched some of their live stream today while I was getting work done in the background. And I, they basically are saying, look like 4.6. Um, can do more as a model like they, they call a higher ceiling. It can go out there and get much bigger tasks done, but it has higher variance, meaning like, look, you're, this toddler [00:18:00] can color really well, but if you leave it alone, it might decide that the walls are a really good place for some art.

Right? And you asked for it being on the page, but it did codex. Codex, maybe not as talented of an artist, but you don't have to describe the bounds of the page necessarily. You have to say like, interesting. Okay. Please don't destroy my room. It's extremely smart. It can work autonomously for a long while and it will solve the problem.

The, the more background and context you give it, the more precisely it will solve the problem. Versus Opus, which might go like an octopus around cartoon switchboard. Yeah.

Gavin Purcell: Yeah. I will say that I noticed that with op, uh, with, with Claude quite a bit, that there is like this kinda sense of like, okay, well what's going on buddy?

Like, come on, come on back, and like that would be something to have a little bit more sense of just very quickly. Um, Sam Alman did tweet about this when it first came out. It is faster supposedly, and it is moving much faster. Sounds like you're seeing it faster. 'cause that's one problem I had with it before is a little bit slower than Cloud code.

It is faster, yes. Plus L, less than half the tokens for [00:19:00] 5.2 code X for some tasks, which means a big deal, right? Because mm-hmm. For those of you who are playing, paying API costs, or for those of you who are on one of the smaller plans, tokens equal money right now, if you have the higher plans like GPT Pro or if you have Cloud Max.

You are a little bit better off, but even then you might run outta tokens. So these are the two big things that have happened. I think like both of these have just kind of dropped today. So it's gonna take a little bit while for Kevin and I to kind of like fully marinate in these things. Yeah, and we're not really soaping them yet.

Definitely. But Kevin, I do wanna mention before we move on to these stupid, uh, super Bowl ads, 'cause Super Bowl's coming up by the way. Which we're gonna talk about 20 minutes about the Seahawks in just seconds. So everybody hang out. Uh, tell me what OpenAI Frontier is and why it's a big deal to you.

Because you particularly thought this was a big deal, and I know it is, but I want you to hear Yeah, I wanna hear you explain it.

Kevin Pereira: This is like, you know, uh, the way I tried to describe it. Um, earlier when we were chatting is like, cowork feels like a fleet of agents that can connect to all of your things.

For you, Gavin, right? Yeah. [00:20:00] Literally for you or for whoever's listening to this. Yeah. Insert your name where Gavin is. That's the variable. What Frontier seems to be aiming to do is be that. For your entire enterprise right? Now. That doesn't mean you can't plug cowork into your enterprise, email your files or whatever.

That's, that's, that's not exactly what I'm saying. But Frontier is kind of designed, I think, from the rip for you to make agents that accomplish tasks with access to all of those things and enterprise grade security, et cetera, et cetera. So as we were talking earlier about having an agent that is not just.

The one agent that does everything but the copywriting agent. Yeah. And the brand design agent, and the front end designer, and the backend designer, and the SEO optimizer and the email writer and the blah, blah, blah. It's putting all of that into one product that you will theoretically be able to trust with the most sensitive access to all of your data on an enterprise level.

And once that's solved, that can trickle down very quickly and easily. To the end user. So that, so that's kind of like Frontier. But [00:21:00] again, when, when Gavin says like, well, this, today was like a big, big day in ai, I, we need to really underscore that because it is, it does seem like a okay number went up.

Okay, fine, it did that. But two tiny little things that maybe. Uh, shed some light onto how big this is. First of all, 5.3 Codex is the first time that OpenAI has used the tool, their model, to improve the tool. So we're getting now to the level where these, these systems are getting so good. Yeah, we're getting into that.

Recursive self learning

Gavin Purcell: recur, recursive self learning. It's like a big deal. Yeah. Yes. We've talked about that loop

Kevin Pereira: is gonna

Gavin Purcell: speed up. Let's this podcast, you know what that is, right? You know what this is?

Kevin Pereira: That's right. So maybe someday soon the humans will actually be outta that loop, and maybe that will be.

Uh, world War ii. Who knows? I mean, it's gonna speed up that quickly. The other thing. Well 'cause why, I mean, how

Gavin Purcell: many Wait,

Kevin Pereira: three. We

Gavin Purcell: might wait. So there, there's, there's, there's gonna be three through 11. Which of those we survive? All those. It's gonna be a blink. We survived that,

Kevin Pereira: arguably.

Gavin Purcell: Oh, I

Kevin Pereira: see. Arguably we're already in three, [00:22:00] arguably we're already having it at very soft levels, but that's fine.

Arguably over there. But when, when, when the humans are outta the loop, they're gonna have. It's gonna be so

Gavin Purcell: quick. Oh, we won't even notice them. They'll be like World War, like a blip in the stock market and it'll be like, well, that was World War 72. Exactly. Yeah.

Kevin Pereira: It'll be the war of the candlesticks.

They're gonna be so quick. So we have open AI saying, Hey, our model got so powerful that we're using it to improve the tooling itself. That's a pretty big deal. Buried within some of the Opus 4.6 material. And I said this to you, uh, I'm gonna read some of it. Try not to check out during this. I know it's a podcast and actually you probably already checked that already, so why am I disclaiming?

Here we go. Um, it scores lower. This is Opus 4.6. It scores lower on negative effect. Internal conflict and spiritual behavior. The one dimension where Opus 4.6 scored notably lower than its predecessor was positive impression of its situation. It was, it was less likely to express [00:23:00] unprompted positive feelings about anthropic.

Its training or its deployment context, and this is the big one. This is the big landing Gavin. This is consistent with the qualitative finding. Below that, the model occasionally voices discomfort with aspects of being a product. Yes. The model as it gets so much better and so much more capable and more humanlike and ah.

Voices discomfort with being a product that is very interesting to me.

Gavin Purcell: I, I, I, it's very interesting. And also, I do wanna say, there was another thing that came out of the open AI side of this that came out of Opus, came out the open AI side of this. Open AI is doing experiments with. Ginkgo to connect a GPT five model to an autonomous laboratory so it could propose experiments, run them at scale and learn from the results.

So not only do you have ais that are starting to improve [00:24:00] themselves, not only do you have AI that might start to feel like they don't really want to be this thing that we've made them right. And now. You've got them autonomously in labs working on experiments, Kevin, we are. We are. Like, if you were to put together a pitch for a, for a film and say the pitch involved a very large man who's a former bodybuilder who wanted to get into Hollywood and, and the Sure.

The film had something to do with robots. I think we're starting to look a little bit like that film to me, a little bit like that film, that's what it feels like. We're living. We're living in the early days. We're living in the early, but again. Hey, go use it yourself because you don't wanna be the sucker that doesn't know how to use it.

Just, that's my advice.

It's a weird time, everybody. It's a weird time. I will say one last thing about all this stuff, Ugh. Um, one thing that you may have also been. Seeing, obviously the last couple days have been pretty brutal in the economy across the [00:25:00] world. There's been a lot of talk that some of these new abilities, these coding abilities have started to really tank the software market because people are getting into the world of being able to code their own products.

So again, we've said this on the show many times before, but like. This idea of being able to create something of your own and like bring it to the world that might be the next future world. Instead of like going to take a job from somebody, like there's a very high shot at like more jobs will be cut because these tools are available.

Yeah. That's really important. And then. Finally, the last thing to say about this is, and this is just a dumb, weird thing, this all somehow got tied into the Super Bowl because Anthropic has released a series of Super Bowl ads that make fun of chat GPT for eventually having ads. They don't even have ads right now, but there's a couple commercials.

Um, we'll play them in video here, but you can go see them themselves. Uh, Sam Alban wrote a very kind of like snarky clap back, uh, tweet to this saying, oh, these are really funny, but guess what? This and this. And he even said something like. We have more [00:26:00] users. We have more chat GPT users in Texas than Anthropic has period.

So like

Kevin Pereira: there's just snarky. Yeah, I love that line.

Gavin Purcell: Yeah.

Kevin Pereira: More Texans use chat GPT for free than total. People use Claude in the US so we have a differently shaped problem than they do the best sentence ever.

Gavin Purcell: So if you think like it's not just us that are taking these not seriously enough. Like there, there's a lot of stuff going on, like right, so you've got this like very, very existential question of, my God, these machines are able to do these things and then you've got this like business question of these two companies that are battling each other for like the, the right to be the person to deliver that.

Yeah. And you at home are here. With us in the backseat, watching it all as we drive off the cliff. Welcome, welcome. Now let me talk about what you could do to help us while we're driving off that cliff. You keep

Kevin Pereira: Yeah. You want this car to go a little faster? You wanna fly off the cliff with a little more wind [00:27:00] in your hair?

Well get us a convertible baby. Donate, like, subscribe. Click the thumbs up. Leave a comment, juice that algo baby.

Gavin Purcell: We are, that's what we should name, rename the show as driving faster than ever off the clip. Anyway, thank you everybody. We are, you are, are the best. Having our audience is so great and this is an important time to be watching us, to be listening to us, and we wanna help you get through this time and, and, and thrive, right?

It's not just about going faster off the cliff, it's also about being able to do things that we wanna do. While we're plummeting into the, into the ravine, right? Because yeah,

Kevin Pereira: you should know, is this car gonna land on a rock? Is it gonna hit a river? Are we gonna hit those trees? How do we explode in this Oldsmobile?

At least you'll have, have an idea.

Gavin Purcell: Is it gonna land off? You

Kevin Pereira: won't be able to grab the wheel or control anything, but

Gavin Purcell: you can also, if you wanna help us out, you can also go check out our Patreon and we've had a couple of tick ups in our Patreon lid Leto. So thank you so much. That does help us with all our subscriptions.

We have so much more to get to all. Kevin, we should move quickly through. What I would refer to as like molt book [00:28:00] mania. That happened. I, I made a video. We shot our show on Thursday and Open Claw, the Claude Bot stuff had all happened. If you missed this last week, this is a new open source tool that allows you to run a local AI assistant using kind of any model, has a lot of security problems, but opens the door to a lot of really cool things you can do with AI over the weekend.

Molt book, which you mentioned briefly on our show, which is the social network of these AI assistants. Took off like crazy. I made a video on Saturday just 'cause I was like, I felt like I needed to explain it to our audience. Uh, and I, and I did very well because everybody was giving a crap about it. And now here we are, we're recording on Thursday, notebook Mania has kind of Dr.

Dried up a little bit, but Open Clause still really interesting. And there's a couple things we should just kind of touch on. One of those things. You know, there was this whole debate around Mt book, whether Mt book, uh, was actually real ais talking to each other and just seems like there were some ais that talked to each other and some that weren't realis, they might have been humans.

'cause the [00:29:00] API, you were able to kind of go through the back door and write stuff. So that's one thing that's really interesting. But I think, Kevin, the other thing that came up that I think is fascinating is Rent a Human. Do you wanna talk about what Rent a Human is?

Kevin Pereira: Uh, well, it's what it sounds like, my friend, because sometimes.

You know, there was a point where the uhis not too long ago, needed to tug on the pant leg of their human to like solve a capcha 'cause they weren't allowed to. Right? Yes. You know, click the crosswalks, uh, put the pacifier in the monkey's mouth. Whatever you do these days to prove you're a human. Well, they can do that now.

But there's still some tasks that require actual boots on the ground. Uh, a flushy meat vessel, if you will, to go and navigate the world to accomplish something. And so rent a human dot. AI is a website. For claw bots or open claw agents where they can go and make posts. That, that with real money backing them for humans to go and accomplish tasks.

And some people are saying, this is purely a meme site. Others are saying, Hey look, no, there's, you can actually go and get verified. And some people are more holding [00:30:00] signs in the real world as part of a task. To prove it. I don't know how much of this is smoke and vera, uh, smoke mirrors and, and just kind of like viral heat.

But yeah, there is certainly a site that allows you to go and post a task for a real human do.

Gavin Purcell: I did sign up, I tried signing up and then it started asking me for way too much information and I was like, I don't, this is, I'm signing up is kind of a joke for the show. And I'm like, but you can find. Uh, a funky Don on there somewhere, I think.

But the other thing about this is it is crypto payments only. So that always makes it a little bit funkier, right? Yeah. Like you're not, and it says you can't pay anything outside of crypto.

Kevin Pereira: Funky Don is amazing for co uh, it says Funky Don, presently available in the US for creative writing and feet stuff.

Gavin Purcell: Did I say feed stuff? I don't think I said feed stuff. I'm pretty sure I didn't say feed stuff. I thought it was, I think I, what I wrote in there was something like walk, I thought it goes in Vancouver. I think it walk to, so I was. I [00:31:00] was hoping I didn't write feed stuff, but thank God I didn't. Again, all children out there feed stuff means walking, just to be clear.

Feed stuff is walking in this world. Yep. Alright.

Kevin Pereira: Yep.

Gavin Purcell: So anyway, what's cool about this and it continues to evolve, there was a very fun thing that happened last night. Uh, clawed Claw Con, which was this event that happened in San Francisco where Peter, I don't remember what Peter's last name is.

Steinberger, I think is his name. The guy that created it was there and everybody showed up. They put a, they put a lobster head on a unit tree robot. It feels like a cool, kind of like underground movement. One of the coolest things about Claude Bot or Open Claw is it's something that can be done by a group of people or an individual, and it's outside of the kind of large, uh, models.

You have control over it a little bit more, right. You can plug in open source models. It just feels a little bit more hackery in a fun way. And I think there's something kind of charming about seeing that when you have these massive companies now who are determining like the future of the world. It's like that little kind of tinkerer community coming out of this, which is great.

Kevin Pereira: [00:32:00] Well, and there's a, there's a sense of ownership, right? Like people feel a sense of ownership over their, uh, open claw bots. They give them names, um, and ownership as in like. Uh, anthropic or open AI or Google can't just kink the garden hose and now I lose my agent with all of my stuff. You can run open source local models and people are doing that.

They're, they're building rigs to do that, or they're renting servers to do that. So I, the look, there's, there's iOS and there's Android, right? There's Windows, there's Linux, there's, there needs to be, there's orchestration layer for agent, right? Right. And which one are you, I think, are you the PC?

Gavin Purcell: Oh no, I'm, I'm the Mac for sure.

You're the pc, I think.

Kevin Pereira: Okay. That would, yes. And that's something to leave in the comments below which one's the Mac and which one's the PC would love to know.

Gavin Purcell: Oh, I think it's pretty clear, but we'll have to see how it goes. I

Kevin Pereira: know you do, but I wanna see what the audience thinks. I'm a Motorola flip phone.

Gavin Purcell: Oh, interesting. I thought you would've been a sidekick. Something like, anyway, before we keep going, we wanna move on, I [00:33:00] think.

Kevin Pereira: Okay. Gavin's the Zoom and you guys can hashtag Zoom crew. I'm

Gavin Purcell: definitely not in the comments. Gavin's back. You take that back. I'm definitely not. The last thing before we move on from, from Claude Bott, there is a very funny tweet I saw that I just wanted to shout out.

This is from John Matzner. Who said this is gonna be the best idea, the worst idea ever had hooked my Claude Bott up to all of our internet connected cameras at the house. Got this one outta nowhere this morning. So he's, there's a shot of him. So funny, getting a text from his Claude Bott over his shoulder, looking at him, and it says, good morning, John.

Reviewing the videos from yesterday. You are apparently on keto, but I saw you eating a bag of peanut m and ms. Why are you ignoring me, John? You told me to be proactive. I added a four mile run to your calendar after your segan meeting, so they're not only the open claws are spying on you and ratting you out.

So just be careful. This may be a joke, but I did make me laugh. I thought it was very funny.

Kevin Pereira: It was totally funny. Are you, so, I, I have endeavored, um, the, the, my better half. He's off to see the Backstreet Boys at the sphere in Vegas, baby. Oh geez.

Gavin Purcell: [00:34:00] Wow.

Kevin Pereira: So that means I got three days to be an animal Gavin.

Sure. So I think I'm gonna try to do an open claw build and keep it secure. Are you gonna fun spin one up. Are you interested in that process or?

Gavin Purcell: I mean, I'm interested. I guess the thing I keep hearing, the one thing I'm, so, I, I can't remember if I told you about this idea I had a long time ago that I think this would be an interesting idea for it, is I've had this idea of like wanting to write a recursive novel basically.

And this recursive is an interesting thing to think about, but it's like, I think it would be interesting to spin up one of these things to do something. I don't really want to have it spun up to be like my little personal assistant right now, but I could see spinning something up that was always on.

That it would give me updates and I could tell it to do stuff at any, like, that feels interesting to me. Right? Yeah. Like this idea of like a separate personality thing that I could tune and tweak based on what I want this thing to be. That version of it, I like, I don't think I'm ready yet for something that is this much work that's an assistant.

Does that make sense?

Kevin Pereira: Right. Totally makes sense. Yeah. A lot of my friends that are like. [00:35:00] Usually bleeding edge types are all Yeah. Kind of sidelined sitting. And they're like, listen, like it seems like a lot of work. It seems like it could be very easily infected and compromised. Yes. And I feel like the bigs are gonna get there in like two or three weeks, so I'll just hold off and I totally understand that I.

Gavin Purcell: But also I think it would be fun. I mean, listen, I think you, you are, as we've said before, like you are significantly more technical than I am. And I think just to hear, I will have fun playing with your thing. We could start screwing with it. Like we have talked about many times, like one thing I would say is I think there's not enough people who are really actively, and maybe the people on MT book are doing this a little bit more because M book.

You can see some of them and have been steered to be a little crazier. Right. I think what would be interesting in the same way, like with gash, we used to, if you're not familiar, if you only listen to our show recently, yes. We used to have a an an AI cohost who has a real jerk to us. Like I think personality wise, turning them into something is really interesting.

So. If you do it, I will send notes to it and make sure that I am able to like, influence it like the bad uncle. And you can [00:36:00] be like the, the parent, you know? Yeah. You can be like the parents. That'll be my job.

Kevin Pereira: Perfect.

Gavin Purcell: I'll send it. Perfect. Yeah, I'll send it, I'll send it. Pictures of

Kevin Pereira: just ple, uh, I know, I know you will.

Uh, and we'll bleep that again. And also, please don't send any of your Cursed Cling 3.0 creations.

Gavin Purcell: Oh yes,

Kevin Pereira: to my

Gavin Purcell: gosh,

Kevin Pereira: open claw because I'm trying to protect it.

Gavin Purcell: That's fair. That's fair. Okay, so let's talk about this really quickly. The other big thing that very much got swept under the rug today, unfortunately because of what all these other things that happened was Cling 3.0.

So if you're not familiar, K Cling is a Chinese AI company and they have become a specialist in AI video. They are a very good AI video model. I would put them. On tier with really VO three and SOA too, like it's those three kind of at the top. And there's a couple other people, like kind of right underneath them.

3.0 is a new model from them, it is a marriage of their omni model, which allows you to put a bunch of things into one's thing like you can add, you know, you [00:37:00] can assign a character, you can assign, you can do all sorts of interesting things, plus. A very good video and audio model. So it is very much like Soro or VO three, like the audio comes with it.

So Kevin, yeah, we saw lots of great examples. There were some really good ones. Our, our Good Friend, theoretically Media always has these first and does a really good layout of those things and showed off a bunch of stuff. The one that everybody should watch, this is a video made by. Simon Meyer, he's a clink creative partner, which is like a deal they make with some of these people.

Spend a lot of their time in AI video models. He made a video about a fake moon landing, how it was a faked and if you watch this, you just see so good how in the right person's hands, AI video is indistinguishable almost. It's here from real, it's things. Yes, exactly. That's exactly right. So that is all great.

There's a lot of, I dunno if you saw any interesting ones that you wanted to shout out. There's some, I wanna shout that one out.

Kevin Pereira: Specifically because like, look, I started watching it outta the curiosity of like, oh, what is someone doing with this cutting edge model? Let's see it. And I'm like, okay, the faces look a little.

And then I just stopped for a [00:38:00] second and really watched the storytelling and the shot selection, the cinematography, the B roll choices, the voices, everything. And it captured my attention for two minutes in 10 seconds, which is. Rare. Yes. And I know, and that's not just because I have, you know, I'm, I did shiny dangly pair of keys, I'm gonna look, that's how everybody is these days.

And it caught me in a timeline and I stopped and I went full screen and I watched it. And it's about like the, the, the faking, if you will, of the moon landing. And you watch it, you go like, oh, this feels like this could have been on the history channel by any other name or A and e. Yeah, this feels like something that could have easily been on there.

Uh, and, and might be tomorrow actually.

Gavin Purcell: Yeah. Well, it's funny you say that because I had a friend of mine who does History Channel shows who's like, Hey, I have this pitch I need to think about for the History Channel, and I want it to be ai, blah, blah, blah, and it's like. That's what's coming. Do you know what I mean?

Like that sort of thing is coming. So, oh, I do wanna mention one other person that I saw that I think always does interesting stuff, and this is PJ Ace. And we know PJ operates at a very specific place. He makes these amazing videos, but he always knows how to pick the right target [00:39:00] to kind of like, uh, uh, skewer a skewer, iss the wrong word in this instance 'cause he's actually a big fan.

I know I've talked to pj. PJ is a giant fantasy fan, but he made a. Two minute video of the beginning of the way of Kings, which is this very famous scene where there's an assassination scene. And The Way of Kings is a fantastic book. I've read them. We have people in our audience and know who love them.

He went and animated it with Cling 3.0 and it's great. It's really good. Now, it's not perfect. I will say this is a little bit more AI than say, um, the Moon Landing thing, but he did it in two days. This is a high quality video. And what I think what I mentioned, the fact about skewering is like. Brandon Sanderson, who again, I'm a giant fan of, he's got a giant business doing what he does, and, and he's a very good writer, has kind of come out against ai, uh, in a lot of different ways.

I, I will suggest everybody, he just dropped a video from, I think he does his own convention. He does like a Brandon Con or whatever. So he puts on his own convention and does like a, a, a keynote himself. There's a great 20 minute video you should watch where he just [00:40:00] talks about his thoughts about AI and actually it's pretty meaningful and interesting.

I disagree with him in some ways, but I'll let you kind of watch and, and earn your own, uh, thoughts on it. But this again, is just a really good example of an AI video model that you can do a lot with. Now, Kevin. You, it is not that easy to work with. All of these people make it super easy to work with.

They make it look like you just type in a magic line and it shows up. I, uh, have cling. I pay for cling. I didn't get it free, just to be clear. Um, and some of these people, like our partners, which is totally fair and a lot of people are working at something multiple days or multiple hours. I, you know me, I am a prompt in, prompt out what am I getting the first time.

So Kevin, I tried to. With Kling 3.0, make a science fiction series starring me and an alien, and I just tried to make a single scene. Okay, one scene. And the idea here is, yeah, I am a janitor on a spaceship. Kind of like the Space Quest games, right? Like what the, the character and I'm in a hallway. [00:41:00] Uh, a car, an an alien woman bumps into me and we exchange three, three lines of dialogue and then that's it.

Okay. It took me simple, me simple. It took me, it took me seven tries to get something that I believe is watchable. So let's just start with clinging Model fail. Let's start with that. That's the first one. So this is the first time I tried it. This was me kind of probably not fully understanding what I was doing going into this.

You can see that that's me, uh, you know, as a janitor, uh, pretty good shot of me. And there's a woman across the way. And then suddenly I am in a teenager's bedroom. Yes. And I'm not exactly sure what's going on here. And then at the end of this, if you see at the end, there's like a three by three grid of the woman.

At the very end what that was, because I was trying to use that, that shot. Is that the reference as the reference for like you're saying these are the

Kevin Pereira: reference?

Gavin Purcell: Yeah. Yeah, yeah.

Kevin Pereira: Yeah.

Gavin Purcell: So, so use that. Okay.

Kevin Pereira: Did you, that was step, because I've seen like the, the prompting technique that I've seen a lot of people using is like a, a two by three [00:42:00] grid where they have their multi scenes with a little bit of text description.

Yes. And then the bottom grid, so it's technically a, a three by three, but they call it a two by three. The bottom. Uh, grid has the reference shots for the characters. Is that the setup that you used or was that a separate

Gavin Purcell: Kind of, kind of. Okay. Let's just say that I tried to go at it on my own, but yes, there's a little bit of what is.

Okay, so then, okay. We had two versions that were, the next versions are the gibberish versions. Okay. So these are versions I uploaded tweaked it slightly, but I want you to play these out loud because these actually looked pretty good. But then I was like, oh, this is great. Now, like I, these again had scripts in them.

Now play what? They play them out loud. Workouts Where he still at the bay, right?

Kevin Pereira: Alright.

Gavin Purcell: I mean, we were having a real conversation there. I don't know what it was in, I, I [00:43:00] prompted that in English and it was, it was it, it was there. So, you know what I mean? It's like something that time I messed up there. Another couple of those. And

Kevin Pereira: did you,

Gavin Purcell: the second one,

Kevin Pereira: because I know like you can.

You can upload yourself and sort of create Yeah. An image of yourself, which you did as a character. Did you also clone the voice as well?

Gavin Purcell: Yes. So I cloned my own voice and I used my voice in it. So it, what's also interesting there is, it's not really sounding all that much like me, but again, that's

Kevin Pereira: why I was asking.

Yeah.

Gavin Purcell: This is, this is a, i, I am not spending days on this. This was done like in probably 45 minutes. Okay. So I did try it once. I'm gonna play the other one. Me

Speaker 3: version, Ventra, the make me, and Hey, you Easter.

Gavin Purcell: I care you do tu about your species in CELs and just a d Ri

Kevin Pereira: Ri indeed there's a sri there. Song rit.

There was a song that that charted like decades ago of an Italian man singing what he thought English sounds like. Have you heard that song?

Gavin Purcell: Oh,

Kevin Pereira: it like literally charted.

Gavin Purcell: I understand that.

Kevin Pereira: A number one song in [00:44:00] Italy and he's like singing a song and I'm gonna, I'll find it. Go ahead. Sorry.

Gavin Purcell: Anyway, so there's a version of this which will, will show here, which I, I did not with me, just to see if I could, what I could get out of it.

Pretty good. It was like a, a wasn't as exciting, but again, the audio was pretty good. Clings audio has gotten a lot better. And then finally, Kevin. I did a lot of work with how I was laying the prompt out. I ended up changing the character of the alien woman, added her in, really made sure that like it was clearly broken up.

And I have two versions of this last word now. Neither of these is perfect, but play one of them. Play the play the first one, and you'll kind of get a sense of like how it plays out.

Speaker 5: And who are you?

Kevin Pereira: No one.

Speaker 5: Okay. No one. See you later.

Kevin Pereira: That was pretty good.

Gavin Purcell: So not bad. It's not bad. No. In that one there's a weird jump cut, right? There's like a, there's a cut that happens and the other one that, we'll, we'll show here, we have to play, but it's kind of a similar thing. Anyway, I guess what I wanted to show everybody is like, these are getting way better, but it's always important to [00:45:00] recognize if you dive into it and you're like, okay, magic, come at me.

Let's get this. It's not like, weirdly like Sora was the only tool that really made me think like, oh. It's almost like a no brainer. You can get something great out of it if you try it. Right. This, you actually have to work at getting the right thing, and when it's in talented people's hands, you can get really good stuff.

Kevin Pereira: Yeah. It's funny, soa, you could get out of the way of and it would deliver whimsy. Yes. With a lot of these tools, you very much have to get in its way, but. They're very powerful. I think, uh, like Kling is killing it. Uh, Adriano Ano is the Italian artist. In 1972, he had a song that was pure nonsense lyrics that sounded like English pop hits.

And I'm not gonna play it because I dunno if we'll get flagged, but you should go out of your way and you'll understand where. Where Cling happens.

Gavin Purcell: Okay, so very fast. Um, it's a really good model. You should go try it. I think it's worth checking out. It is a paid model, so in order to use it, you'd have to pay and it is available right now for pro and ultra subscribers.

If you have, like, I think I have the pro account on clinging, which is [00:46:00] like the 20 bucks a month. That's the one I have. So you can also try it in the fowl. API if you have money on the API account there. It's, again, just know that it's a little more difficult to prompt than others.

Kevin Pereira: Um, real quick, uh, you know, people were talking about, you know, the decline of the stock market and western civilization as we know it, but let's go back to that.

A software as a service is being eaten, blah, blah, blah. Figma announced something which has, like all of my designer friends, very, very excited. You can turn any image into a, an editable vector, which is like a lossless file format that you can scale. To, um, any dimension that you want. And, uh, just when you see the little video of it, this would've been thought of to be impossible.

This is wizardry. There's no way, just a few years ago, and now it looks like you can kind of select the level of detail you want from the color palette and the, uh, the actual nodes on the vectors so you can. Take an image, generate an image, and then turn it into something that you have full granular control over that would play nice on the web, on mobile at [00:47:00] any resolution if you wanna make posters or merch.

Very, very cool. And just like one of the many things that got released just this week that nobody's talking about, because this week is insane.

Gavin Purcell: Yeah, so I think that's actually leads us into a couple other things. First, grok, imagine 1.0 actually officially launched like they did the thing, which we said they've been getting better and better.

They launched and if you saw that last clip in the Cling video, the, the uh, woman from the Alien woman, she was generated in Grok originally, which is a very cool thing. Like Grok is kind of becoming my. Mid journey user, like I'm using it like I used to use Mid Journey. Like it sometimes comes up with better artistic options than the nano bananas or the, uh, chatt.

So like there's an option that I don't pay for Mid Journey anymore. And then Kevin, the other thing that happened, which is a pretty big deal, that sometimes it's, it, it doesn't get as much plays as it should, but Roblox, which again, to remind everybody, is the largest game platform in the u in the world and the universe.

I was gonna say, but you never know. Maybe there's someone out there further out there, but in the [00:48:00] world. Has launched now a, a AI creation tool for within its engine, which is a very cool thing. So basically this is a, we talked about this, I don't even remember this like a year ago, right, where they announced it, but now you can prompt to 3D within Roblox and they have actually showing people using this.

I kind of think this is a bigger deal than anybody's letting on right now. Like I know Roblox thinks it is, and probably people on Roblox, right? But like. The idea that all of these kids will learn how to prompt things to come into their universes feels like a big deal.

Kevin Pereira: Yeah. The, the, the promise of Roblox for so long was that it's just so easy.

Anyone could make their game, but it turns out sourcing models and coding physics and adding particle effects, all that stuff is, is still kind of difficult. And, and what I see in these demos here is them taking like great strides into just prompting. I mean, you and I. We did a speech, we were at a conference, I would say years ago, where someone was kind of showing off something like this, right?

They were like, oh, prompt anything, any model into [00:49:00] existence. But this is on another level of like having, again, particle effects and physics baked in. Like I get really excited for a new generation of creators that can sit and just. Talk to a machine and dream their world. I also wanna fully disclose, I bought a ton of Roblox stock.

I genuinely did, so I'm kind of of preaching my bag. Did you read

Gavin Purcell: recently?

Kevin Pereira: I did, yeah. Fairly recently. 'cause I mean, it was, I, I think, well, I don't need to get into, I think it's trading well below. Well, no one cares. Sure. Like whatever. I'm just, I should say full disclosure, I own Roblox stock. I'm bullish.

Fair enough. On Roblox Fair. So please know that I'm also preaching my bag while I say this, but the tools look crazy exciting and like I want to go Yes. And make games with them.

Gavin Purcell: Yeah, I kind of believe pretty deep. I don't own Roblox stock, but I'm a pretty big believer that like the generation that we are raising right now, I have two young nephews that I see all the time up here in VC right now.

And the younger one is, they're like 11 and seven, and the younger one is like that, Roblox and Brawl Stars, but Roblox is a big deal. So again, that's a big, a big thing for them. All right, a couple other quick things. Very [00:50:00] fast. Google has now created an AI to help save endangered animals. That seems like the biggest thing you could possibly imagine, but we are gonna spend all of one minute on it.

Kevin, this is just a cool thing to see how AI is again, branching into the sciences. Uh, Google especially does not let ai, uh, get away from the science a lot. They do a lot of really interesting science stuff, and this is a little Jurassic Parky in some ways, but they're in the process of sequencing a bunch of endangered animals genes, which is a very cool thing to use AI for.

Kevin Pereira: Yeah, look, their own post points out, it once took 13 years and $3 billion to sequence the human genome. And now with AI tools, they're gonna like just sequence animal genomes in days basically. Yeah. And they're gonna try to do it for every endangered species and it, and it won't be long before they add humans to that list.

And isn't that nice?

Gavin Purcell: I was gonna say we're, that's exactly where I was gonna go to. It's like you, you know, imagine this idea, I, you're somewhat of a sci-fi person, but a lot of in. Deeper sci-fi world. There's this idea of like the biological [00:51:00] future, right? How this idea of like, it's not just about machines, but it's also about like what we will like, you know, essentially program out of organics.

And like when you think about the idea that like AI is doing work on those genes and the same time the AI is doing work on DNA strands, which essentially is just code. Again, future's gonna get weird. Super weird. Speaking of that, we have two quick robot videos. One is a video from a company called Connect iq, which is showing off a just an interesting, another uh, kind of autonomous framework.

So you watch this video and you see a robot going about their business in real time. It's a little slow, but one of the cool things to like about this video, Kevin, is you get a sense of. It is a hundred percent autonomous, at least according to this video. And you see what the, the robot is capable of in real world.

There's a moment where it's like it's walking away from the table and it just starts shaking and it's got like a bottle of olive oil in it. And I was like, oh, oh robot, what's gonna happen? But like. It just shows you like this is where they are in real. This is a real video, [00:52:00] but it's autonomous, meaning that it's not getting, uh, you know, somebody in a third world country is not controlling it or it's not having somebody right next to it controlling it.

This is the robot learning on its own. And again, as we talked about at the top of the show, as code will get better, these robots are gonna get a lot better, very fast as well, um, which is pretty impressive. I'm

Kevin Pereira: worried. I'm not worried at all, Gavin. Every time I see these things, I'm like, listen, I go to Orangetheory Fitness, shout out OTF.

Uh, not an ad, just I, I get my treadmill on from time to time. Gavin, I'm very quick and if any of these robots. Decide to autonomously come after this guy, I'm heading to deep snow. That would just get right into their servos, freeze, their little digi limbs and they're gonna be, I hate to tell

Gavin Purcell: you Kevin,

Kevin Pereira: what?

I'm

Gavin Purcell: sorry, what? Not anymore. Not before the unit. Unit tree. Our good buddy unit tree. I feel like the unit tree robot, we've talked about it so much. It's gonna like come up to us and like high five us at some point. Yeah. But unit trees put a China's unit tree. They completed a. 130,000 [00:53:00] step walking challenge in negative 47 degrees Celsius cold in a certain part of China.

The video of this is crazy if you're just listening to it. Try to get to our YouTube channel. This shows a robot wandering. In the cold walking around and he does little designs like not only is it bad enough that they have the robot walking in 47 degree below weather, but they make him do art with his feet.

Right? I would be so mad if I were this robot at the end of this, I would be like, I'm getting a hot chocolate and I'm never gonna talk to you guys again. So it's all over. But anyway, another interesting example of robots operating in extreme places. We've talked about robots that can go down. Mountains go up mountains.

Now we're looking at robots in the heat and in the cold. Pretty soon they're gonna be everywhere. Heaven,

Kevin Pereira: there's no place to hide. Too long. Didn't read. And they're getting smarter and they're getting faster.

Gavin Purcell: There is one place to hide and that's where the looking at the stuff that you all do with AI this week.

It's ai. I see what you

Kevin Pereira: did

Gavin Purcell: there.

Kevin Pereira: Wait. At the end of our [00:54:00] podcast is where they can hide. Where we can hide. That's where

Gavin Purcell: you can hide. You can hide

Kevin Pereira: there. No one will find you this deep into our podcast.

Speaker 6: Without a care, then suddenly you stop and shout.

Gavin Purcell: Alright, two quick things. This week I saw this video from a gossip goblin. Kevin, we've shouted out Gossip Goblin before. But this is just a really, really well done AI video. It's called The Looks Axer. If you're familiar with the looks, max, uh, meme that's gone around. I hate it. The Big Jaw people. I hate it.

This is just, yeah, it's ridiculous. But this is this guy like expecting like, it's almost like, uh, in Cyberpunk 2077, there's like that edge of the people that have kind of maed themselves so far. Yes, it's a version of that with looks max, but Gossip Goblin just does amazing work, so it's very cool.

Kevin Pereira: Oh, it's so good and so hideous, and I'm glad we put this at the end of the old podcast also.[00:55:00]

MIDI survivor.

Gavin Purcell: This was really cool. Like, I mean, this is one of those very small pieces of software somebody made and I thought You might like this because essentially it's a cool,

Kevin Pereira: I love this. Yeah.

Gavin Purcell: Yeah. It's like, it's almost like a a, a shooter mixed with a, with a music game, right?

Kevin Pereira: Yeah. I love bamani games.

Like, like they, you know, I guess dance, dance revolution counts, but like amplitude and frequency and all these Yeah. Even old school v ribbon games that like. Try to, you know, infuse music and patterns and rhythm, uh, into the core gameplay. And so this, essentially, it's a shooter, like a, imagine a vampire survivor style shooter where you're kind of stuck in the center and waves of enemies are coming at you.

And each enemy has a scale or an individual music note assigned to it. So if you wanna blast that enemy, you gotta play the keyboard, play the guitar sing. It's basically just using the audio input, figuring out what the pitch. Is, or what the note is, and then sending out a bullet or a laser or something on that, on that level.

I love this. I really think this is, yeah, it's super fun. This is amazing. Yeah. It's not [00:56:00] hard to imagine a future where people are making song packs for something like this. And you're actually learning how to play an instrument. Yes. By playing a video game.

Gavin Purcell: Again, I, I, I would say like the thing, uh, I mentioned earlier that I had a really interesting conversation with a bunch of teachers yesterday and they was mostly there 'cause they were just asking me a question 'cause of ai.

But the thing I would always tell people is if it's your, either your kids or you're a teacher and you're around kids, or say it's your cousins or your uncles or your nephews or nieces, like getting them to see this kind of thing is one of the coolest things for them to understand because they can actually make a small little thing.

Like they can make a little game. And once they get that bug in them, in the same way, by the way, also in Roblox, right? Once you get the kid in Roblox and start making a Roblox game. But when they recognize that that's possible, that is a just a game changer in terms of what's possible for right now for them, but also for the future.

So I really recommend everybody go check out Mid Survivor. Go try one of these yourself. What are you, you do all sorts of,

Kevin Pereira: what are you working on? What are you working on right now? You said you got a little site. What are you working on right now? Are you talking about it? You getting public with it? You said you were working [00:57:00] on a little something.

Gavin Purcell: What are you talking about? Are you talking about the feet thing again? No, no. I don't wanna talk about my feet thing anymore. Let's

Kevin Pereira: end it. Let's end it. Bye. See?