1000 Downloads! (Ep.66) 2nd Version

0:00Yeah, we're all, we're all here. We've been, we've been together a lot since the holidays. It's been pretty good. So, yeah. And so, high, high school hockey tournament, let's talk about the cake. You want to talk hockey? No cake. Cake. We have some cake. We, uh, we have, what are we celebrating? Our thousandth download, uh, we're celebrating thousands and our, and it's our one thousand and oneth episode. Easy. He didn't. So, we wanted to say, say, thank you to our, to, to Drew and, and some handful of Russian bots scraping us. It is a very funny, um, the downloads go, they all, they go back. It's not, you know, you would think they would just be the new ones, but it's often more of the downloads are from previous episodes, you know, in a given week. Well, I think it happens with AI, um, they're being scraped, transcribed and scraped. Oh, sure. Two things.

1:00Yeah. That makes sense. Oh, it's like. So we're getting, hello, robot. Yeah. So lots of robots. Lanker. We want to say thank you to the robots. My open claw agent will triple our downloads. Yeah. He's like, yeah, I do anything, but I can't do that. Yeah. All right. Let me get off here. Let's help Skynet get started. I would do any. Oh, my. Look at this. I'm saying it. Wow. Thursday, March 5th, proof of law podcasts, quantum elect studios, John Navi, John Hayden, Chad Jamrosey. Talk maybe a little bit of a thought in the crypto winter and the real winter. Yeah. And the real one. There's coinciding with some bizarrely warm weather we're having here in Minnesota and looks like this weekend. It's going to be quite warm in the 60s. It looks like. You should see how much dog shit was in my back there. It was disgusting. It is that time of year.

2:01We pick it up real time. It's not possible with us. Yeah. Too much going on. Teddy takes the dog out and we just like go all done. Yeah. I know. I know. Well, just stay ahead of it. Even then, when we were out of town in December, we had a house sitter. There were some remnants, but not much. I'm telling you. I hate when, because we used to do that, and it's just like, I just grossed me out. It was probably a two foot by two foot cube of shit. Oh, that's tough. All right. Moving on. That's disgusting. Time stamp. I did forgot time stamp. We're having a little bit about a little bit of a bump here. So Bitcoin at 71,100. Let's go. It hit 63. Yeah. I think that it's lowest. It hit 60. I thought it hit 60. It hit 60. It hit 60. It hit 60. We went off to 60. Yeah. Yeah. It hit 18%. Yeah. It hit 20,300, I think yesterday at some point. If you're in greed in 26, you know, still, we haven't seen a two handle in quite some

3:03time. No, we've had single digits for multiple weeks, so I don't know, I don't get an overwhelming sense that sentiment has changed that dramatically, but it's not financial advice. But Solana is going to double over the next 12 months. Oh, look at that. I think Solana will come along. Yeah. Such a value. Yeah. Get some. Yeah. I got a list. You can stake it too. You can like it. I'll stake it. I'll stake it. I'll stake it. You can make a look. I'll stake it. And I'll let you run all that stuff. If you're not doing anything with it, or you can buy mean coins, I bought mean coins. I took a really hard hit last week. What was the, I have not gotten a sense of any mean coin, like any, any momentum there or what, what, what inspired you? I bought broke at a $600,000 market cap, and it is currently at a $6,000 market cap. So is there a way to short things? That's wild. Is there a way to short things? I don't think so.

4:03There are some platforms where you can, you can borrow a bunch of it. Dude, that's the play. It seems too easy though. I like this. Well, they are, but 90% of them. Right. I mean, you know, it's kind of like my calcium strategy where I, I've been doing the stuff. This is the complete opposite. Yeah. I look at all, it's all NBA games. Oh, yeah. You told me about this. Yeah. It's just funny. It's a double digit. Spread. Spread. Spread. Anything double digit. I put $20 on it. I went $23 or $22. If it's like, and it's usually I could 84%. They're favorite to win. So I just do that. And I even put it in the AI and I said, this is, this is a good strategy. Because double digit historically, double digit spreads when 96% of the time. Okay. Free money. Yeah. I'm just, but it's tedious, a little tedious. You know, like in the morning, I like, all right. What's the spreads? What's that? You need a bot, right? I'm an open claw agent.

5:04An AI agent. I still have yet to be described how to employ. So here in here is what we did after the episode. Is anybody last week? Yes. On the way home. I listen. I listen to some of the podcasts, which I don't usually do. Yeah. Which one? Podcasts are terrible. Just kidding. I listened to many. Listen to Lex Friedman talk to the creator of open claw. Yeah. Who's now an open AI employee? Yeah. He's doing all right. Yeah. He is the one. And then when I got home, I looked into how do I set up open claw? Yeah. It is. You need some chops. Okay. Programming chops. You need some chops. Tech chops. To like set up the environment. Okay. You got to go to get help. You got to like. Oh, okay. It's not like that one and getting an app. So there's a barrier to telling it to do something.

6:04Yeah. There's a barrier to entry right now. Okay. And I'm determined in the next couple of weeks to break through that and set up some agentic folks. I'm very, very, very, I am super interested in this. We're going to get a Mac many. You're going to do the whole bit. The Mac many is apparently the platformer choice. Really? I need to get it. You can appear. Maybe you should just get the Mac many for this experiment, right? Absolutely. Because part of the thing is I've gone a little bit. I'm thinking about paying a little bit for the clawed next stuff because you get access something called cold work and cold cloud or a code, a cloud code and all this other stuff that you hear talked about and start playing with it a little bit. But you start to start giving it permissions and it starts getting a little funny. You know, you're like, I don't know, dude. You're like, you know, you get my you know, yeah, like you're going to go through my whole computer. That seems weird. And you know, so there's like this weird. I don't know. I got all this new stuff starts, right? Yeah. But we got to do it. We got to do it. You got to learn that 100% agree.

7:05What is an API? That was a joke, guys. It's an application, programmable interface. Yeah. There we go. So yeah, I'm determined to sort that out. Maybe we should we should talk about that. Make it make it make it. Once we figure it out, we'll talk about it. And then we'll walk people out how to do it. I love it. Yeah. I have this idea that agent thing is so fascinating to me that you could potentially spin up something. Will you text it? Yeah. You can watch that. The first billion dollar company without a single employee is on the horizon. Yeah. It feels like it's really near. And the thing is, it's like so they call it vibe coding. Yes. Right. And so you can like once you kind of you don't even need to know how to code once you know how to set this up. And I was, and I was listening to this podcast with the guy he's like, once I got it going, it started doing some looping and some critical thinking for itself, not like in a human way, but in a problem.

8:10So in a way, in a way that was like, well, I noticed this wasn't working. So I said, oh, I don't want to check. I don't want to try to do this. And he's like, he was doing something like he had built the app for himself. And he was like, and you're up. And he's like, hey, find me some good places to go out to eat or something. He just like, and it's connected to his WhatsApp. So it's like, you're just chatting with somebody. Yeah. And it responded. And then it's like, wait, I didn't know how to get it. And he's like, how did you get access? Like, what, how did you get access to that? And it's like, oh, here's what I did. I went, I thought, look, okay, I could do this in this. And I couldn't get through that. But then I set this up. And now we're going to go. And he was like, oh, dang. Like, this thing's, if I tell it to go do something, it will go do something. And it'll work and problem solve until it's got to figure it out. And it's the same way for codeies. It's like, hey, I need you to build me an application that will do this and debug it. And he was saying, so once he got to a certain point with his like beta version

9:16that he had just kind of cobbled together himself. He's like, all right. I need you, I need this to be repackaged and rewritten in a different code language so that we can put it in a like a more transferable and palatable version for others to work off of. And he said, and he said it worked overnight. Like it was working on this project. And the morning he had it in the fresh code and the whole new packaging one shot 100% correct. Really? Yeah. What did it do? Do you remember what the thing did that he built? Like, what was the app for? The app. So it was for, it was the base, the level one open claw. Okay. The the agentic platform for, you know, when anyone ever wants to start, it's my understanding. I couldn't be wrong on this.

10:16My understanding is like, open claw is like my, my closed loop private open claw won't be the same as yours. But we started the same place. Right. Right. Right. And I just took like a local agent. Right. I took it a certain direction to help out with what I'm doing. Yeah. You're going to take yours in a different direction. And it, and it, and it, you set up these like loops or whatever. So anyways, we got, we absolutely must do it. Yeah. And I love this. And it's the data stays on your. Or if you want agent. Right. Which is good for lawyers. So I think we say like here's what we should do as an experiment. Yeah. We should set up a company using one of these. Yeah. I think we should create a product and put it out into the world in crypto. Yeah. That's what we should do. I'm 100% on board. Let's make a generative AI NFT.

11:20By the way, that was something cool. That, um, with the centrenie report. I did. You know, I still haven't read it yet. Did you read it? I haven't read it. But I read an article saying basically. The way that stable coins will become dominant in this new AI world that's coming because they're going to look for the least friction and least cost to move money around. And like to move stable coins is almost free. It's almost free. Yeah. And they'll completely just, when all the agents are doing the thing, they're never going to go through a bank rail where they have to pay fees. They're going to do it through the blockchain and move it on stable coins. And it's going to be a massive explosion for crypto. If this centrenie prediction is true, it's interesting.

12:20I mean, really digital currency and AI, they, yeah, they're all together just obviously. I just had to, like, I just have such like excitement right now to like do something with it. And then I was like, I have so much work. I was on Apple and I was about to buy the Mac mini and I'm just like, I don't have time right now to do this. But if I had a bunch of agents doing my work for me, maybe I would have to. Here's my goal. Inspector, yeah, I just be like the front end just to get it started, right? Here's, here's what we'll, here's our plan. We'll dabble. We'll learn until the completion of the upcoming trial. And after that trials, maybe not, well, the upcoming one, the one mid mid April. We have one mid late April too. Is that I thought we didn't we lost on summary judgment done one count, stupid judge.

13:24Stupid judge. That's stupid judge. This judges. I do. Uh, some of them. And then then we go all in and we build a project and we go all in. Yep. And we were we, I like it. I'm going to do some research. I was going to do something on anyways, be fun to do it with you guys. So here is Mac mini for like six in our bucks. Yep. Yep. You need a monitor. But that's fine. That's cool. So here's the just saw that. Okay. I just started listening to this two weeks ago, the AI breakdown and he has got. He's got a, um, I forget his name, uh, but he's got an enterprise training. So for people in business that want to create a, an open claw agency model for their businesses, six weeks training and it's completely free and it closes on Friday and I'm like, I want to do that. I don't know if I have the capacity to the thing is it's like that, that is like the

14:28thing. It's like claw camp. There are people who are like, there's always been people who like wanted to do some vision, right? And they, what they needed was capital so that they could leave what they were doing to do it, to do it. And the barrier was always capital barrier is not capital for this stuff anymore. It's, it's time to do your enrollment. To get your, yeah, to get your pass into this new economy, uh, in labor force, like, you got to pay your dues, you got to just buckle down and do it. Yeah. I agree. I think we have to do it. What is this? What is that podcast you're talking about? What's it called? It's called AI something like the quantum likes podcast, the AI daily briefing, AI daily briefing, Nathaniel Whitmore. He's good. Yeah.

15:28He does some tender daily. And so he does the news and AI and then he touches on a story. Yeah. Well, this all, yeah. This all feels like the stuff you need to be doing, right? Because this is not going anywhere and anybody not paying attention to it's, it's, it's people are just letting me realize so too, though, and help you understand what the world is going to be like coming up, right? It's terrifying. The AI jitters every once in a while. Yeah. But what makes me realize is clarity and genius, these are the acts that are already outdated, like, extremely outdated in a lot of ways because like, it, those are regulating human behaviors and actions. And like, there's going to be so much of a firewall between what's happening automatically in the world because the agent, the agents are out there.

16:32And because we have virtually no restrictions on AI and agents, and it's like, what, what is, what is your liability? If you create agents that go off and do crime, not even at your direction, but they're like, eh, we're going to just shoot. We're just going to, we're just going to interact with this wallet that's on the old fact list, right? And make a transaction with them. And then, you know, some age, some, just day in the future, when there are agents looking into these kind of things, not like actual like federal agents, there will be federal agents too, which, right, right, right, right, we're going to be on this. But then they're like, oh, we tracked it back to this set of agents, we're like, we did not tell it to do that.

17:33And it just creates this, and it's not just like, there could be real harm too when it comes to like, hey, we need to figure out, hey, we got to solve this problem in that. We want to do this thing that's going to take a lot of energy. And you know, it starts thinking a little too meta, and it's like, oh, what I'll do is I'll just shut down this Excel energy grid over here. And that will allow me to siphon energy over here. And it starts thinking like, oh, yeah, no problem. I'll just, yeah, it starts just going. And then you're like, oh, it's just kind of out there now. Yeah. Right. Yeah. It's just like, like, great, like, like agentic, the White House pressuring them to give them full access with no limitations to their platform. And they, they had to agent, it was like, no, there's two things we won't let you do.

18:34Anthropic, Anthropic. Anthropic. Anthropic. Two things we won't let you do have AI fire weapons for you. And what was the other one master valence master valence US Yeah, like that that decision. I mean, they know they have the power to do it. And they're saying, I was like, we'll do it. So, yeah. So wait, here's the thing, my name is Sam Altman. My name is that here to serve. No, here, there was hours after that. This is like hilarious. The timeline was so so funny. And he was the one saying that he was backing up and dropping because there was like some talk of this within Silicon Valley of the pressure of that. And then he's just like, no, we'll do it. Well, here's the thing. He's probably like, we'll do it. And he's thinking is like, well, if I do it, then I'll know it's done right now. And that's what he's saying to have. And I'll understand exactly what it's like, what we have now is anthropic regulating the federal government and telling them what they can.

19:38They can't out half because they are more powerful, right? There's no question that these AI companies have more power at their fingertips to unleash on the world to control it. They can control elections using these, these bots, they can control resources. They can control the financial system if they release these bots properly. It's fascinating way to look at this. CrowdStrike or Palo Alto for cyber security. Because now, you know, these agentic threats are going to be maybe not even bad actors, but you've got to make sure the agents stay out that are authorized, right? And it's like, hey, were you using, I can imagine a situation where, okay, you had control, you, you have a fleet of agents. What, and we've mentioned this before, but like you have a fiduciary duty to the public and an order for you to meet that fiduciary duty, you need to have X software

20:41installs a fiduciary duty, the controller of the AI. You have a duty to the public and you breach that duty. And it's just like you bring in an expert to, you know, we have a plaintiff class action firm that was all harmed by these agents. And they say, you failed to meet your duty, bring in our experts, okay, what kind of checks, what kind of code did you point out? Did you have the latest anti-corruption safeguards installed, right? No, you didn't, you're just raw dog and you're like, download something off GitHub that you found that doesn't meet the standard of satisfying your duty to the public to do this. It's just like, you know, having a bonfire in your backyard. So there is, there's a company out there that they advertise on the AI daily breakdown. And they'll certify it's like a certification for your AI and insurance

21:43to make sure it's so like so companies can use it and not expose themselves to massive liability like you're talking about. So there's, there's people thinking about this and are already have products and solutions for this. It's interesting. That's interesting. It was just when you were talking. And so there's this whole area of law called products liability law. And it was developed 100 years ago. Res, it's a low quitter. And one of the concepts in product liability laws, if your product hurts somebody, you're strictly liable for any injury caused. It's a very complicated doctrine that, you know, has exceptions and stuff like that. Did your design, did, you know, it's like the stickers on a lawnmower. It's like, don't put your hand in the blade. You know, that those are all from that that area of law. But like if your product is designed in a way where the blade will fly off and

22:45kill somebody, you're strictly liable for that. Now, if somebody puts their hand in the blade, you might be strictly liable for that if you didn't put a guard over it or something like that. It's all this and it seems like that could get applied to AI. Yeah, that's the only way to do it. But the other thing about so the defense, so like, you're a restaurant that sells some soup and someone eats the soup and there's a chunk of glass in it. Okay. So it's like, oh, we didn't make the soup in house. We brought in this stuff from Gordon Foods. So now there's this line of liability. And then they share purport that the jury decides like they allocate what percentage is your fault, what percentage is your fault. But then there's also another concept. Recipes, right? That's like, we don't know what happened. But given the circumstance, it had to be you. Piano is just a fall on top of people's heads. Somebody had to be negligent.

23:46Right. There has to be something in here along the line. And that's probably, it's like, we don't know what happened here. But all we know is that it came from your thing. Your agent did it. I'm getting scared. Yeah. Can't wait to make one. Here we go. Can you just, I'm just thinking like JP Morgan loses one billion dollars and then gent, a gentick AI theft. I mean, that's the, that's when I retire. Is that the, is that the, is that the problem? Yeah, I'm going to check that out. By the way, do you listen to your podcast on regular speed or faster regular? I'm a, I'm a 1.2 guy. I'm a 1.253. Yeah, I get, I get that. I just, you know, I, I forget about it. I listen to a lot. You know, sometimes I maybe wish I did because sometimes you're like, it depends on the podcast. You see something you're like, totally, you're like, oh, that's a long one. You know, and like, what's the one that's like bits and bits or, yeah,

24:48it gets, it's getting a little dry these days. I know, but there's a lot of people with stronger English accents. Oh, yeah, yeah, I have to slow down because of it. Accents, get a little, you slow it down under one or one point. It's a normal. I mean, yeah, yeah, no, that's a good recommend. We should talk very slowly. So that people have to pick you at 1.5. This will sound normal. All right, it still won't be smart, though. All right, we're up against it. You guys, this was a fun AI talk. And now it looks like it might have been the, the nexus of the AI project. So I'm fired up. Yeah, me too. I have to do all this work. I'm actually appearing on another podcast tonight. Oh, look at this. Talk about AI. So you're appearing. Is this I love this one? What's the point? We need to cross from all. Just cross from all. Let's see if I see what happens next week. I like it. That's cool. I, I want to say that. Well, it's a little, you can report back to us next week.

25:51Sounds good. I like it. All right, thanks, guys. We'll talk next week. Peace.