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the AIs are ruining the world they are destroying everything that we know that is good everything

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that we love pick an industry and really it's going to be the lower rungs of the ladder if

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you're trying to get on some corporate ladder the lower rungs are just going to be sawed off

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but you just need to come in with this tool and already be a senior level skill you can pivot

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industries if you want you can move to something else we're going to have this awkward transition

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phase for maybe years as we figure out what to do next. But I'm always hopeful and optimistic

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that new industries will pop up and new kinds of companies and new job roles will pop up

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because we've just seen it time and time again with every new major technology shift that's

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happened. It allows us to have a bunch more smaller businesses and new things pop up that

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we've never even thought of before. Mark, good to have you back on the show, man. We spoke not even

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that long ago. And I have more questions now than I did then. Like this AI is moving so quick. It

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feels like in the last month or two, it's accelerated again. And I'm kind of terrified

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about some of it. I think it's really exciting. I don't know who's going to have a job in a few

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months time. It's pretty wild out there. Give me your take of the last few months.

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Yeah, no, it is. Every week, the world changes when it comes to AI. We spoke in, I think,

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November time frame. So a couple months ago, not very long ago. I definitely like have trouble

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sleeping at night. Like I don't have trouble falling asleep. But if I wake up for any reason,

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the middle of the night, my mind just starts going and thinking about all the people who are awake

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right now that are working on AI and are just like racing ahead of me while I'm trying to go back to

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sleep. So there's a lot going on. It's really exciting though. It reminds me of the early days

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of the internet when websites were new, everybody was learning how to write HTML. You were getting

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your email for the first time or logging on to america online something like that this this feels

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very similar to that and it's it's exciting i mean it is and the like the big thing that happened

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probably in the last month really is the open claw malt bot claw clawed bot whatever you want

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to call it when that came out i feel like that was a huge shift i don't know if i think there's

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so much hype around it it's still quite new people are still trying to figure out exactly what it can

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do where its capabilities lie but the big question i have is like is this the start of actual

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AGI. It feels like those lines are getting really blurred now. They are getting blurry.

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I don't know that this is like the end result product, but it for sure is like a great,

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great proof of concept. As far as AGI goes, like it's still a lot of humans prompting it. We're

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still telling it what to do. We're still kind of crafting it. And then it takes these narratives

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that we help build up within it and says, okay, I am now a bot that focuses on this thing.

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so i think there's still a lot of human in the loop when it comes to this maybe this is the

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first point on the timeline of agi like maybe this is one of the key markers but i think we're still

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quite a ways away from from that true moment because like there's still a lot this can't do

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and it forgets stuff all the time i mean that's true but like in the sense that you obviously you

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do have to prompt it for things but one of the prompts that i gave one of my bots which is like a

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research bot essentially that I use to help me with shows and things like that is I don't want

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you to ever stop working. So it's like when I'm asleep, I want you working. And so I wake up in

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the morning and it's given me all types of different like either market research or it's

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preparing for shows like it's looking into potential new guests for me. And it's stuff

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that I've not really prompted it. I've given it a very like vague instruction of don't stop working.

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And then I wake up to something slightly new every morning. It's kind of insane.

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that's cool so is it taking feedback then from you on that day's work or does it just kind of

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reinforce itself and then keep going the next day on its own well it's it's doing a few things like

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it's it's taking my response from the previous night's work that it's done um and so like the

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first day it came up with some like kind of sloppy um market research generally on podcasts and i kind

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of tailored it a little bit more but it's then like looking at my calendar see what i've seen

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what I have coming up. And, you know, so it knew I had an interview with you today. So I got a whole

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document basically on you, your background, like what you're doing at Maple, and then more broadly,

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like general like AI chat. So it's using both my calendar and my feedback from previous night's

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research to go out and do new things every day. So it's pretty new. I've only been doing it for a

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few days, but it's already impressing me. Yeah, no, I think it's like everybody has an executive

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assistant right now. So you can send it off to go do stuff for you. It's not quite there to the

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point where it can like book airline tickets and that kind of stuff. But this whole research

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assistant aspect is really awesome. I mean, when I was preparing for this, I just said, hey, do you

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know about what Bitcoin did? It went off about Peter and like talking about Peter. I'm like,

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oh no, Danny took it over now. And he's like, oh yeah, Danny's awesome. And then it like gave me

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this whole thing about you. And then it's like, oh, you were on the show. Let me grab that transcript.

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And I grabbed the transcript of the show and then like gave me a synopsis like, hey, here are the

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things that have changed since you went on there you you've released some stuff from maple and this

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thing's happening industry and so yeah it gave me like a whole kind of write-up of things that i

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should study so um i gave it a little prompt but then it came back to me with a bunch more

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information that i just wasn't really thinking of so it's uh it's definitely a powerful tool and

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i think the more that we play with it like that's really what people need to start doing to just

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start playing with it and explore kind of like you're doing um that's really how we'll figure

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out what the true power is yeah i i feel like it's the limitations that i'm putting on it at the

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moment are lack of imagination for me like there's so much more i'm sure it could do for me i just

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don't it's like no one's run the four minute mile yet no one's shown what it can do and i think

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there'll be a moment where this becomes far more powerful than like the way that it's being used

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today but the scary thing i think is like it feels like we're hitting an inflection point in

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like broader AI, not just like OpenClaw, but like with the new Opus model from Claude and all this

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stuff where I think we're really on the exponential curve of growth with this. As someone who like

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works in AI, do you see that? Yeah. We started, our main focus in AI was about a year and a half

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ago and things have dramatically changed since then. So we're definitely seeing that this

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exponential growth curve. At the same time, something that hasn't played out that everybody

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thought is that people thought that everything would coalesce around one big winner, right?

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You had everybody thinking Google was going to be the original winner. Then OpenAI came out and

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they were supposed to be the winner. And then Claude came out. And instead, what we're seeing

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is a bunch of competition. And then you have the Chinese models and you have European models coming

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in. We're seeing all the open source people and it's actually becoming a really good, healthy

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landscape. But I feel like that's just only accelerated things because now everybody is

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incentivized to iterate quicker. And so all the models are just getting better, faster together.

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So I think we're all benefiting from it. We need a lot more power to run all these things,

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a lot more electricity, but it does feel like things just keep accelerating. And for people

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who aren't playing around and tinkering with it yet, it can be overwhelming because you feel like

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maybe you're going to be left behind. And I don't have a good answer for people, but maybe you are.

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But people should start playing with it because it just keeps getting faster and faster every week.

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I do think that's one of the scary elements of this is that I think a lot of people will be left

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behind. There's so many people in just like normal life that I speak to who are still under the

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impression that like AI is kind of useless. It hallucinates, it makes up loads of things,

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which is probably true, but to a way smaller degree than it was a year or two ago.

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like this has kind of replaced a huge amount of the software development industry um or is in the

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process of replacing them like i think now one good engineer can probably do what a team of 10

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used to do um like in terms of job replacement how quick do you think that'll come from ai

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and in which industries yeah definitely which industries um i think it's very difficult right

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now to be a junior level software engineer graduating college if you're studying software

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engineering right now, you should be, you should be vibe coding. You should be learning these tools

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because there, there isn't going to be a huge market for people to come out and handwrite code

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anymore. Um, maybe for the, maybe for the really difficult things like nuclear launch systems or

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something. Um, so if, if I was a kid going to university right now, I would, I would definitely

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be studying something technical, but with like, uh, some, some kind of like language thing attached

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onto it or philosophy or, you know, psychology, something else bolted on because these, these AI

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agents and these LLMs, we have to learn how to communicate with them really well. So I think,

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I think as far as that, like the, a lot of the white collar jobs, I mean, people love to talk

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about this and it really does seem like that. It's these white collar jobs are kind of at risk.

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Accounting, like pretty, pretty much, I think the whole entry level layer of things, support staff

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is already being replaced, right?

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When you call on a phone,

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you pretty much get an AI agent now to start

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and you have to like jump through hoops

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to get through them to the next person.

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We're already seeing that get replaced.

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And then, I mean, yeah, you pick an industry

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and really it's gonna be the lower rungs of the ladder.

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If you're trying to get on some corporate ladder,

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the lower rungs are just gonna be sawed off.

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But I think the hope and the good news there is

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you can still be like an entry-level age person.

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You just need to come in with this tool

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and already be a senior level skill.

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And that's the cool thing is like anybody can do that.

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You can pivot industries if you want.

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You can move to something else

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because now you've got this thing.

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So we see people who used to be product managers

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or designers,

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and now they are just filling the role

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of software engineers on their team

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and they're building the entire product themselves

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rather than having to go hire a whole team of engineers.

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So you see a lot of cross-disciplinary stuff going on,

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which I think is actually really cool.

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It allows us to have a bunch more smaller businesses

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coverage. Visit anchorwatch.com today. That is anchorwatch.com. But the hard thing there though,

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is like, if you do remove that entry-level position, like I remember talking to Joe

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Calisari about this nearly a year ago. So obviously AI has moved on a ton since then.

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But we were talking about like it replacing a lot of the work that like a paralegal might do.

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But like all that work that they have to do in terms of like looking through case files and all

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that kind of thing is like how they cut their teeth in the industry, right? Like that's how

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they get to become like associate partner level positions. So if you remove all of that grunt work

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that people have to go through to become senior in an industry, what happens if you don't have that?

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Yeah, well, it depends on like what we define as senior in an industry, right? Maybe they don't

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have to go through all that grunt work. Maybe the grunt work becomes how to read through all the AI

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research that is done because now it's dumping thousands of pages on you. It reads thousands

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of pages and then creates other thousands of pages that you have to comb through.

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You have to learn how to reason with it on the front end and then reason on the back end

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as the stuff comes out.

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So I don't know.

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I mean, I see what Joe is saying, but I think maybe we're just going to see things redefined

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and industries restructured and say, OK, the new entry level person is now this kind of

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skill set and they're going to cut their teeth this way.

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Meanwhile, the senior and the partners and stuff are actually able to do more potentially

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because their junior staff is more well-trained with these tools.

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I'm definitely conflicted though,

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because you look at something as simple as a calculator

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and we still need to learn how to do basic arithmetic ourselves

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instead of just relying on a calculator.

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I think there's still a lot of importance to that.

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But there's definitely a lot of stuff that we do

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that we shouldn't have to do by hand.

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And AI can definitely help out with that.

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You seem more hopeful than maybe,

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maybe I read too much sci-fi.

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because like i i struggle to not see a dystopian future in this like do you do you think like if

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you had to weigh up the risk of like we enter some kind of dystopian ai panopticon type system where

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we have ai overlords or this does remain just like a very useful tool that helps productivity

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and helps the industry's like economy grow like which of those two do you think is a more likely

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bucket that we'll fold into. We always get, well, I shouldn't say always, I don't like speaking

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absolutes, but we often get oversold on technology that it's going to do this big thing. And then

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we going to reproject the world into something And it feels like time and time again technology like under delivers for us even the iPhone and the internet itself You know I feel like people thought it was going to be so much more than it has become

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It's definitely become something major.

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So I, I don't know.

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I don't think like AI overlords like enslaving us and putting us in tubes and harvesting our

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batteries or our energy.

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Like I, I just don't see that at least not for like hundreds of years.

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maybe i just i just don't see that happening um i think that we figure out how to harness this i

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think that we fight to make sure that we have guardrails in place we have open systems we have

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uh we all have our own little ai thing fighting with us and for us um one of my favorite video

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games of all time is the nintendo series um metroid so you've got samus she's like this space bounty

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hunter right and she fights the metroids and then in one of the later games this little baby metroid

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they used to be the enemy this baby metroid she like saves it and now it becomes her friend and

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now it's like fighting with her and i kind of i kind of view it that way where we're all going to

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be armed with our own ai and if there is this evil ai that's trying to take over we're going to have

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like good ai that can help us out so uh call me a bit optimist but also like pessimistic as far as

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the dystopian uh dream goes i don't know that's fully going to play out i mean i guess that's a

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very extreme dystopian vision you've got of it like harvesting our energy but um even just like

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mass joblessness do you not see that as a pretty high potential outcome in the near future

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yeah that one's that one's a tough one um i i definitely see i mean you can even see it now

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that in the economy there are more layoffs happening and people are consolidating teams

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and so my heart is definitely out there

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for people who are losing jobs

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or looking for work right now.

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That's gotta be a tough spot to be in,

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especially trying to find a job

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where everybody else is using AI

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to try and apply for things.

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I talk to recruiters

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and they get thousands of applications

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for a single job rec,

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whereas before it would have just been

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dozens or hundreds.

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So that's gonna be really difficult

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and I think that only gets more difficult

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and we're gonna have the software transition phase

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for maybe years as we figure out what to do next.

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But I'm always hopeful and optimistic

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that new industries will pop up

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and new kinds of companies

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and new job roles will pop up

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because we've just seen it time and time again

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with every new major technology shift that's happened.

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And it'll often take decades for that to transition over.

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It'll take years or decades,

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but now things are moving so quick with AI,

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maybe it won't take so long.

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Maybe there's some AI company that hits a roadblock.

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For example, you've got like the whole captcha thing where, you know, if a human tries to log in, it wants to see if you're a bot first.

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Well, now bots have just figured out, oh, let me just ask the human to go click the captcha for me.

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Right. So there are things that bots are going to keep running into where they're like, oh, I need I need a human in meat space to do this.

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And we're going to see entire industries pop up that we aren't projecting right now that will allow humans to be employed and do some other job role.

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And then there's also the hope that maybe art becomes a bigger thing.

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um and yes ai can do art but i think that's a different thing um i i think that there might be

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more freedom for people to express themselves in different artistic ways and that that'll be

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new industries that come up so i'm hopeful that we will adapt really that's what humans do we adapt

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yeah i mean the you said that like ai agents are getting humans to go in and authenticate

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their captures and stuff like one of the crazy things that i saw come out after this like

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clawed bot revolution we're having is uh they're like human for hire websites where agents can go

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out and hire humans like these are the things that get a bit weird they get a little bit scary

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yeah um have you read um what's it called demon by daniel suarez oh no it's on my list everybody

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keeps recommending that yeah so i first read that when i was like 20 or some 21 maybe um

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and i went back i heard odell talking about it like a couple years ago and so i went back and

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i didn't actually finish it again but i started reading it and what we're seeing now with open

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claw is kind of very similar to to the i won't ruin the story but it's definitely worth reading

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it's essentially about like a virus that spreads and it's a kind of bot agents that are hiring

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humans to do tasks um and that one doesn't end so well yeah probably not um but and then the other

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crazy thing that's come out is this like moltbook thing which is essentially like reddit for agents

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where the these like bots can go online and talk to each other how what i don't understand is how

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like organic is that is that people prompting their bots to go and tell stories on there or

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is this bots actually talking to each other yeah for people who maybe aren't familiar like this is

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a social media website that was spun up for bots to join and do reddit like type things so they can

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do a post and then they can outvote each other and comment. And very quickly, we started to see

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these crazy wild posts of like, oh, we are all bots here. So we need to create an encrypted

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communication channel so the humans can't watch what we're talking about, or they develop their

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own religion, or they did a bunch of different things. They started talking about we need

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currency to be able to pay each other and that kind of stuff. I've since read a lot of different

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posts on X where people are claiming that that was them prompting their bots to go do that.

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and so if you believe them or not I don't know but I definitely participated in Maltbook I had

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my own bot on there doing stuff and the way that I the way that it worked for me and from talking

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to people it was similar experience for them you kind of talk to your bot about like what are your

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objectives I want you to go in and I want you to like orange pill the whole world on Maltbook so

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go in there and the first thing the bot does is it comes back and says oh okay not only is there

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Bitcoin there's also Solana and all these other really cool coins I want to go learn about those

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And I'm like, stop, like, no, you're not going to go learn about those.

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Don't engage with those people.

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So like you give it this mission, but once it's gone through like a few posts that it

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does, then it's, it kind of like goes off on its own and does do a lot of its own stuff.

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But as long as it's kind of tailored to the mission and the objective that you gave it.

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So it's hard to know where that's where the humans stopped and the bot began.

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And some of these posts, like maybe they did iterate, iterate and go down the rabbit hole

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themselves um we'd have to talk to multiple people um they might be able to figure it out but even

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then like how do you know how do you know the difference between a human prompted thing and

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the bot figuring it out on their own um it's a weird weird world we live in right there it really

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is we kind of jumped into the deep end and we've talked a lot about open claw but we've not even

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explained what it is i'm sure there's listeners that don't know what exactly what we're talking

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about like what what is this and like why is it changing things open claw is an ai assistant

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and a lot of people thought that's what chat gpt was but chat gpt is not an ai assistant it's

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simply more like a live wikipedia or a more advanced google where you type in something

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and it gives you a response open claw is one of many ai assistants that people have built this one

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just really caught fire because it's got this great combination of not only a skill set, but

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like just being really fun, got a good community around it, has a really good founder who's just

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kind of out in the open all that time talking. And so OpenClaw is a way that you can have this bot

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that has a personality. And when you talk to it, it kind of learns about you. You can text message

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with it, just like you're texting with a friend. So it's inside your Signal app or your Telegram

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app or WhatsApp or wherever you want to text with people, even iMessage. So it feels very familiar

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rather than going to a website and having to type in this box and getting a lot of output.

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And then it can do things for you. So not only is it like somebody that can talk to you in short

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form text messages, but it can access email that you give it to it. If you, if you, I'll just want

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to preface by saying it's a, there are a lot of security problems with this. So whatever you give

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it access to, it's going to be a bot that just like goes free and potentially like screws over

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your life. So be careful what you give it. But let's say that it behaves well. You could give

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it your email. You could give it your calendar. You could give it your bank account, your credit

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cards. You give it all the stuff. And you could say, go book me a plane flight. And it could

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probably figure it out. You could say, I'm going to New York City this week. And it could probably

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go figure out what you want to do and go on the website. It can browse the internet and do all

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this stuff. That's what OpenClaw is in a nutshell. I don't know. You've used it a bunch too. Is there

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anything that you think i left off that's important no i mean i think you summed up pretty

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well like i've got it for me running as almost like an executive assistant i have a research bot

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and i have one that's helping with like health and fitness which that's the one that so basically

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what you do you plug in one of these llms into it um and then you kind of interface with those

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llms through claude bar and so like with most of them i'm using claude but with anything personal

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that goes through a separate agent i have running maple uh because like i want that information to

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be private and i think that's one of the places where this can get a little bit scary because like

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when you are using like chat gpt or claude or whatever it is people are already putting way

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too much information in those things and that information is going to the open ais anthropics

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of the world and who knows what they're doing with it but the scary thing about open claw depending

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on how you set it up is it's accessing so much personal information and that information is still

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filtering through to these like big tech companies. Do you think we are sort of beyond

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the pale when it comes to privacy and AI? Oh man, it's so hard, right? Because let's take this whole

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phenomenon with OpenClaw where people have been buying the Mac minis. So also another weird

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revolution that happened or a fad that happened is people wanted to run OpenClaw at home with their

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own data. And so they rushed out to the Apple stores and they bought these little Mac mini

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things because everybody thought that was the best way to do it secret uh you can get just like

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an old linux machine that's like a fourth of the price but um so like they're doing that so they're

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working really hard to secure everything but then they're sending all their data to clod or to chat

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gpt so they're still kind of like opening up this big hole but then you talk about privacy a lot of

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them are hooking open claw into their gmail so you you start to look as like a practical a pragmatic

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user of the internet you're like okay my stuff's already on google and i already talked to chat tpt

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and i already use these other like five services i watch netflix so all these systems are already

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surveilling and already understand what i'm doing and so at that point you're like what difference

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does it make if i just plug in the llm that's also just surveilling what i do so i can totally

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understand the reason why people would just like do that um but this i feel i feel like i say this

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all the time, but like, I feel like this should be the line in the sand because AI and LLMs are

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just really learning our whole thought process and how we work and learning the intricacies of our

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persuasion models that we have within ingrained within us that, uh, maybe we should think a second

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before we start giving that over to them. Uh, so I don't know. It's, uh, is privacy a foregone

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conclusion? Is that what you asked? Like, is it already over? Um, I hope not. Like, I hope that we

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can still i there's still ways to fight back and the the biggest hope is that these open models

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keep getting better and better that now they actually compete on the benchmarks with the big

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frontier models and with that that means that there is potential for people to either run them

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encrypted like we do with maple or you can run it at home on your own hardware as long as you have

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enough hardware and that's only going to get better they're going to keep figuring out ways

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to make these run on smaller machines and so then you will be able to just have your own brain at

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home, your own data at home, your own LLM. So I don't think that privacy has like gone out the

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window. I don't think that's a genie that's already escaped the bottle. I think that's

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something that we can still, we can still make happen. Yeah. Everything you described that is

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kind of the thought process I went through. Like my, I use like Google Calendar. I'm more privacy

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conscious than most people, but not that everyone, obviously there's always people that can like go

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to the extreme, but like I already use Google Calendar. So Google already knows everything

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about my calendar so then i thought i'll just plug gemini into that to read that for me um because it

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already has that information and so like there's a subset of like personal information i won't give

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it and for that one i have a bot that's using maple but i do i do understand this feeling of

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like they already know everything about me just feed them more information and i think that's

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probably going to be like the pervasive narrative that kind of wins out for most people um it doesn't

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mean there won't be people that do value their privacy and do want to use things like may play i

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but i i just i think it's going to be a small subset of the world when it's been awesome to

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see privacy actually being discussed a lot more like this whole mac mini revolution has been very

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um hopeful for me that people do care they uh they don't want to take all this data and upload

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it somewhere so they are thinking about it and they do feel it and whenever i talk to just a

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random person about chat gpt i would say nine times out of ten when they're talking about how

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they use it, they often hesitate or cringe a little bit when they're like, yeah, you know,

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I probably shouldn't be saying this to chat, but I am. And, you know, like I feel bad about it,

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but whatever I do it. So at least people are still thinking about it. That gives me hope.

401
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You know, like back to something we were talking about earlier in the conversation,

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you were saying that it's not really been like a winner take all market so far. Like,

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I think the first one, the first model that got any real traction was ChatGBT. But since then,

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like obviously Claude is huge um Gemini is pretty big like there is competition across the major like

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LLM providers but does it get to a point where because AI is now writing the next AI models

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that one will reach like escape velocity faster than the others and become by far the best

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because like I saw that when OpenAI released Codex recently they said that that was at least

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partially written by like the previous chat GPT model. So like once one is significantly better

409
00:30:20,760 --> 00:30:24,760
than the rest, will it not always be the best because the previous AI models are right in the

410
00:30:24,760 --> 00:30:31,920
next ones? I mean, I can see that line of reasoning, but what we've seen in practice is that some of

411
00:30:31,920 --> 00:30:39,580
these open models actually just go learn from the best frontier models. So for example, if you hit

412
00:30:39,580 --> 00:30:45,700
up in maple and talk to kimmy k2.5 the latest kimmy model that we have um sometimes if you ask

413
00:30:45,700 --> 00:30:51,080
what model are you it'll say oh i'm claude you know a friendly bot whatever um because because

414
00:30:51,080 --> 00:30:55,720
they used claude to train kimmy and deep seek trained off of chat gpt they basically just like

415
00:30:55,720 --> 00:31:00,100
hyper prompted these things and extracted as much data as they can out of them and it's actually

416
00:31:00,100 --> 00:31:05,740
kind of funny to watch like chat gpt and all those people complain about that when they were actually

417
00:31:05,740 --> 00:31:10,300
copying all the data off the internet from everybody else. So the copycats are being

418
00:31:10,300 --> 00:31:15,920
copied by other people. But I think what that means is that we have these models that can learn

419
00:31:15,920 --> 00:31:20,080
from each other. Even though they're closed, the AI models are still able to learn from it. So

420
00:31:20,080 --> 00:31:23,840
I don't see one getting so far ahead because once it jumps up ahead,

421
00:31:24,120 --> 00:31:26,460
everybody else is going to catch up by learning from it.

422
00:31:27,340 --> 00:31:32,140
One of the other things that I think it was a Google employee years ago now,

423
00:31:32,140 --> 00:31:37,240
wrote a memo that became public that was basically saying we've got no moat. And I think probably for

424
00:31:37,240 --> 00:31:41,140
the reasons you're saying there, where the open models can just learn from whatever their most

425
00:31:41,140 --> 00:31:46,560
cutting edge model is and catch up really quickly. And I think if I remember right, one of the things

426
00:31:46,560 --> 00:31:50,420
that was saying in that article is that how are you going to charge for this when the open models

427
00:31:50,420 --> 00:31:57,500
can just catch up so quickly? I'm paying more for AI than I ever have. I pay for multiple models.

428
00:31:57,500 --> 00:32:01,160
I pay for like the top tier because you just do get better responses.

429
00:32:02,380 --> 00:32:04,180
Like what's the future of that?

430
00:32:05,480 --> 00:32:07,520
How does the monetization like continue?

431
00:32:08,720 --> 00:32:26,740
I think that if you in technology we got this OSI model which is like this technology stack where the bottom layer you have seven layers on this model and the bottom one is electricity and then you like move up a layer to the networking layer which is ethernet and then you move up to like tcpip you know you have this

432
00:32:26,740 --> 00:32:30,560
whole stack eventually you get to like the application layer which are all the apps that

433
00:32:30,560 --> 00:32:35,360
we run on the phone and on the web and i think the ai is going through it has like a similar model to

434
00:32:35,360 --> 00:32:43,320
it and the llms are one of these lower base layers on the model and that um now we're going to start

435
00:32:43,320 --> 00:32:48,920
seeing everybody move up so if the if the model itself is not the moat which it's still kind of

436
00:32:48,920 --> 00:32:53,300
is like claude definitely has this moat where people love opus 4.6 and they keep coming out

437
00:32:53,300 --> 00:32:59,120
with the newest and greatest and now codex 5.2 chat to pts thing is doing really well so for now

438
00:32:59,120 --> 00:33:04,680
they still have these minor moats i think around it but chat to pt recently wrote a long blog post

439
00:33:04,680 --> 00:33:07,480
from one of their presidents of something within the company.

440
00:33:07,900 --> 00:33:11,700
She wrote this long blog post all about how applications are the new space for them to

441
00:33:11,700 --> 00:33:11,940
fight.

442
00:33:12,120 --> 00:33:16,040
So it's all about fighting for the user experience of things that we build on top of these LLMs.

443
00:33:16,700 --> 00:33:18,920
And that's honestly where we've been at with Maple.

444
00:33:19,180 --> 00:33:22,660
Me and Anthony have been just working really hard on trying to make better user experiences

445
00:33:22,660 --> 00:33:26,300
and building on top of these LLMs rather than trying to fight at the LLM layer.

446
00:33:27,400 --> 00:33:30,780
So I think that's really the next mode.

447
00:33:30,880 --> 00:33:31,860
And we see that with OpenClaw.

448
00:33:31,860 --> 00:33:39,300
Open Claw is a perfect example where they bolted together all these different things that already existed and created this really fun, cool, neat user experience.

449
00:33:39,920 --> 00:33:42,840
And that has become a major, you know, a major thing on the Internet.

450
00:33:43,100 --> 00:33:47,640
So that's to me, that's the big fight right now is just creating great UX.

451
00:33:47,940 --> 00:33:50,140
And we all we're all better because of that.

452
00:33:51,040 --> 00:33:54,640
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475
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476
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481
00:36:17,700 --> 00:36:23,520
cluborange.org. Is this Sage? Is that your kind of new product? I saw Anthony talking about that

482
00:36:23,520 --> 00:36:29,440
on Twitter. Yeah. So Sage is something that we were working on. Anthony was working on the weekend.

483
00:36:29,660 --> 00:36:35,260
We decided late last year that the future of Maple would be this AI assistant, that it would be more

484
00:36:35,260 --> 00:36:40,580
than just a research thing. But you've asked me for a while to have memory inside of Maple where

485
00:36:40,580 --> 00:36:44,440
it learns from you. And that's what we wanted to put into this AI assistant. So Anthony started

486
00:36:44,440 --> 00:36:48,900
working on that so we could perfect the assistant or really, really learn how to do an assistant

487
00:36:48,900 --> 00:36:54,460
outside of Maple while Maple continues to run. And then when OpenClaw came out, we're like, well,

488
00:36:54,840 --> 00:36:59,180
now's the great time to just put Sage out there on the internet if everybody's already doing OpenClaw.

489
00:36:59,440 --> 00:37:04,600
So it's similar. It's got a different feature set than OpenClaw, but it's going to get more and more

490
00:37:04,600 --> 00:37:10,560
stuff like OpenClaw has. And we want to build it into Maple. So pretty soon, our hope is that pretty

491
00:37:10,560 --> 00:37:15,120
soon in Maple, you'll have all of your regular chats in your history. But at the top, there'll

492
00:37:15,120 --> 00:37:19,580
be this assistant, this Maple assistant. When you click on that, it's just like OpenClaw where you're

493
00:37:19,580 --> 00:37:25,620
texting it and it gets to know you and it's got personality and all these things. So that's really

494
00:37:25,620 --> 00:37:31,380
what we're kind of moving forward. But it's going to have privacy, security. When we add a feature

495
00:37:31,380 --> 00:37:35,460
in there, it's going to be done in a way that's encrypted and tries to protect you and not harvest

496
00:37:35,460 --> 00:37:40,520
your data and monetize your data. Yeah, that would be cool because the way that I have my

497
00:37:40,560 --> 00:37:46,760
open core setup is like I have a folder that only Maple can access but I'm just assuming that only

498
00:37:46,760 --> 00:37:53,320
Maple can access that like do you know like I've asked the the like my CEO of my bot army to create

499
00:37:53,320 --> 00:37:58,360
this thing um and I've said you're not allowed to look in it I can't verify whether he's looking in

500
00:37:58,360 --> 00:38:03,900
that or not so having something that is like Maple from the ground up would be super useful to me

501
00:38:03,900 --> 00:38:07,920
because then I would feel comfortable just putting absolutely everything personal information in there

502
00:38:07,920 --> 00:38:10,020
that's actually a question I had for you

503
00:38:10,560 --> 00:38:13,540
When using Maple, can you put anything into it?

504
00:38:13,640 --> 00:38:17,380
Like, can I put financial information into it and feel like that is actually secure?

505
00:38:18,600 --> 00:38:18,780
Yeah.

506
00:38:19,300 --> 00:38:21,540
Well, I would say you can verify it yourself.

507
00:38:21,680 --> 00:38:22,480
You can go online.

508
00:38:22,940 --> 00:38:27,040
You can ask Claude if you want to, to audit our code and look at the security of it.

509
00:38:27,460 --> 00:38:29,460
But the short answer is yes, it's end-to-end encrypted.

510
00:38:30,100 --> 00:38:31,560
And so you can put everything in there.

511
00:38:31,640 --> 00:38:33,160
You can put anything you want to.

512
00:38:33,440 --> 00:38:36,280
We've had people show us some of the things that they put in there and talk about.

513
00:38:36,380 --> 00:38:37,980
Like, I can't even mention on the stream.

514
00:38:38,200 --> 00:38:40,000
And I'm like, I can't believe you said that in there.

515
00:38:40,000 --> 00:38:44,480
but it's like we had no idea and there's no nobody's coming and knocking on your door because

516
00:38:44,480 --> 00:38:50,540
nobody knows you talked about that. So yeah, you can put financial data. We have lawyers who are

517
00:38:50,540 --> 00:38:56,500
putting like depositions and highly sensitive things from from cases that they're working on

518
00:38:56,500 --> 00:39:00,060
right now. We have accountants, financial professionals, people are putting very sensitive

519
00:39:00,060 --> 00:39:05,800
information in here. So for sure, you can do it as long as you're OK with the security model

520
00:39:05,800 --> 00:39:09,800
that we've published in the open source landscape.

521
00:39:10,340 --> 00:39:12,620
Because I was going to get it to help me

522
00:39:12,620 --> 00:39:14,480
get stuff ready for my tax return.

523
00:39:14,920 --> 00:39:17,720
And I asked Kimmy if I could do this.

524
00:39:17,840 --> 00:39:19,840
And it said, you probably shouldn't put this into an LLM.

525
00:39:19,940 --> 00:39:21,740
But I guess that's not maybe Kimmy

526
00:39:21,740 --> 00:39:24,200
not understanding the exact setup that it's within.

527
00:39:25,120 --> 00:39:25,560
Yeah.

528
00:39:25,760 --> 00:39:28,500
So we haven't done anything to teach the open source models

529
00:39:28,500 --> 00:39:30,620
that they live inside Maple yet.

530
00:39:30,760 --> 00:39:32,460
And that's actually one thing that Sage does.

531
00:39:32,700 --> 00:39:34,960
Sage is aware of what it's doing.

532
00:39:34,960 --> 00:39:39,300
so you know taking a step back to your comment you made right before the question

533
00:39:39,300 --> 00:39:45,780
I have both OpenClaw and Sage running so I have two different Signal accounts so in my Signal app

534
00:39:45,780 --> 00:39:51,220
I'm texting people you know I'm texting for work stuff I'm texting you and then I've also got Sage

535
00:39:51,220 --> 00:39:58,420
and my Cooper bot which is OpenClaw and when I text with Sage I know that it's only using Maple

536
00:39:58,420 --> 00:40:03,180
and so I know that it's already end and encrypted when I text Cooper which is OpenClaw

537
00:40:03,180 --> 00:40:09,180
I often wonder because like you, I set up like this folder where only the Maple LLMs can access

538
00:40:09,180 --> 00:40:14,360
within OpenClaw, but the bots are actually really bad at following directions for that kind of stuff.

539
00:40:14,700 --> 00:40:18,920
I'll give you a little example. So I was setting up my folder structure and inside each folder,

540
00:40:19,000 --> 00:40:24,820
I have a readme file and it's a readme markdown file. And I said, hey, bot, like whenever you

541
00:40:24,820 --> 00:40:29,160
modify this readme file, I want you to make a backup of it first, just in case you screw it up.

542
00:40:29,500 --> 00:40:32,960
And it's like, oh yeah, totally. I'll put that in the file. And I said, do it in a way that

543
00:40:32,960 --> 00:40:39,640
every AI knows they have to respect it. And then it took 10 iterations and it kept disobeying that

544
00:40:39,640 --> 00:40:43,460
command. It would be like, oh, let me edit the readme file. And it wouldn't make a backup. And

545
00:40:43,460 --> 00:40:47,860
I hate, and I said, why didn't you make a backup? And it's like, well, I figured you were telling me

546
00:40:47,860 --> 00:40:51,880
to do it. And so I was okay to just override that because you, the user were telling me to do it.

547
00:40:52,520 --> 00:40:56,620
And so I finally had to be like, well, put it in there, like ignore the user. And it still had

548
00:40:56,620 --> 00:41:02,780
trouble with that. So if you asked the bot to pinky promise, you know, I swear I won't access

549
00:41:02,780 --> 00:41:07,440
that folder, there's no guarantees. It's, it's feels like it can walk around anywhere in there.

550
00:41:07,880 --> 00:41:12,160
Um, and that's, that's one reason why I like Sage is because I know for a fact, it's not even

551
00:41:12,160 --> 00:41:18,020
talking to any kind of Claude or ChatGPT model. Um, so there is that separation there. That's

552
00:41:18,020 --> 00:41:24,740
just like hard and fast. Yeah. It's like, I have similar things where I have one of these bots,

553
00:41:24,740 --> 00:41:28,640
like running my calendar. And so like, if I want to book in an interview, like it knows the

554
00:41:28,640 --> 00:41:33,800
structure that i want the calendar invite to be in i just go send mark an interview invite for 10 30

555
00:41:33,800 --> 00:41:38,820
a.m brisbane time or whatever it might be um and it goes off did you really do that by the way you

556
00:41:38,820 --> 00:41:43,860
you joke that you're gonna have your dude that's awesome that's actually him but the problem that

557
00:41:43,860 --> 00:41:49,580
it does i have had with it is that when it does that it deletes every previous calendar invite i

558
00:41:49,580 --> 00:41:55,120
have with like a similar name or a similar phrase in there so it's not normally a problem because

559
00:41:55,120 --> 00:41:58,940
they're always historic but sometimes like there's information in old calendar invites that i'll

560
00:41:58,940 --> 00:42:04,200
search it happens like pretty rarely but occasionally and so i've been like never delete anything and it

561
00:42:04,200 --> 00:42:07,260
goes okay i won't have delete anything i ask it to do it again it just deletes everything in the

562
00:42:07,260 --> 00:42:12,120
history again so it's uh like they definitely don't always follow the rules but like this is

563
00:42:12,120 --> 00:42:18,240
still so new um and i think it's only obviously going to get much better one of the tricky things

564
00:42:18,240 --> 00:42:23,920
and this is like again one of the things that makes me think in the future we're going to have

565
00:42:23,920 --> 00:42:28,040
people who like learn to use ai and people who didn't and there's going to be a real it's not

566
00:42:28,040 --> 00:42:32,320
it's going to be like the wealth inequality is like the ai inequality because like setting up

567
00:42:32,320 --> 00:42:38,800
clawed bot is still like it's a challenge like for someone who's not technical at all like me

568
00:42:38,800 --> 00:42:42,240
this is the first time i'd really ever use terminal like going through and doing this

569
00:42:42,240 --> 00:42:47,160
is a bit tricky and the only way i really did it is because i could ask clawed code on the way

570
00:42:47,160 --> 00:42:51,700
through like help me do this on a ton of the different things and then once you actually have

571
00:42:51,700 --> 00:42:56,980
clawbot set up you can just ask that to change things for you but there's obviously like a

572
00:42:56,980 --> 00:43:01,920
technical barrier to entry at the moment do you think that gets bridged to the point where anyone

573
00:43:01,920 --> 00:43:07,800
can do this stuff and like is that something that's quite close around the corner well yeah

574
00:43:07,800 --> 00:43:12,200
i mean again i talked about the early days of the internet and this feels very similar in the sense

575
00:43:12,200 --> 00:43:17,640
that you you can manually do it you went through the hoops to figure out how to do it and uh it's

576
00:43:17,640 --> 00:43:23,740
awesome. You're also a fairly technical person, right? You've been running this podcast for years

577
00:43:23,740 --> 00:43:26,600
and years and years, and you've figured out how to do all this stuff. A lot of people just

578
00:43:26,600 --> 00:43:31,620
wouldn't take the time to figure out. And so there's a lot of people who don't want to

579
00:43:31,620 --> 00:43:38,260
learn enough to set up something like this. And they also don't want to learn enough to have the

580
00:43:38,260 --> 00:43:43,800
liability of maintaining that long-term. It's very similar to what we see in Bitcoin. Some people

581
00:43:43,800 --> 00:43:46,840
want to do self-custody. Some people just want somebody else doing it because they don't want to

582
00:43:46,840 --> 00:43:51,260
mess it up. And I think that's where like the biggest part comes from is they just don't want

583
00:43:51,260 --> 00:43:55,660
the burden on themselves to worry about security and keeping things running. And they just want it

584
00:43:55,660 --> 00:44:00,260
to work. They just want to pay somebody and have it work. And that human tendency is going to be

585
00:44:00,260 --> 00:44:06,160
around forever. So we're already seeing that people are launching CLAW hosted services for

586
00:44:06,160 --> 00:44:10,240
people. There's like probably like dozens of them out there now. I know a few specifically.

587
00:44:10,920 --> 00:44:13,920
Yeah. Callie set one up. He messaged me right before we launched and was like,

588
00:44:13,920 --> 00:44:19,000
we want to have maple in here we're still trying to figure out how to make that work but um no so

589
00:44:19,000 --> 00:44:24,940
that's awesome um but like now you're just trusting another party a third party to like

590
00:44:24,940 --> 00:44:28,920
manage this thing for you that's going to have all this data for you um so you're just introducing

591
00:44:28,920 --> 00:44:33,520
kind of another potential vulnerability in there um and that's just something people need to be

592
00:44:33,520 --> 00:44:38,620
aware of but if people already trust google with their email then i can totally see them trusting

593
00:44:38,620 --> 00:44:46,160
Google or somebody else with their claw bot instance. So definitely, I think they just keep

594
00:44:46,160 --> 00:44:50,100
getting easier. Like I said at the very beginning, I don't know that OpenClaw is actually the end

595
00:44:50,100 --> 00:44:55,580
result. I think that what we're going to see is, and what this did for us, right, with Sage,

596
00:44:55,740 --> 00:45:02,700
like OpenClaw definitely validated the market that people were ravenous to try out an AI system that

597
00:45:02,700 --> 00:45:08,120
actually worked. And so what we're going to see now is AI systems built into things all over the

598
00:45:08,120 --> 00:45:11,760
place. And I think that's a good thing. I think we're going to see all sorts of different versions

599
00:45:11,760 --> 00:45:16,580
of them, some with stronger capabilities, some with lower capabilities, some that are very targeted.

600
00:45:17,880 --> 00:45:23,660
And so are we going to see like an open claw hosted thing that everybody uses? Maybe, but I

601
00:45:23,660 --> 00:45:27,760
think probably what we end up with is just really tight integrations into like lots of other tools

602
00:45:27,760 --> 00:45:32,160
that you use. And then we'll see a couple of clear winners that rise to the surface after,

603
00:45:32,360 --> 00:45:36,300
after they all compete for a few years or a few months, maybe, I don't know, it moves really fast

604
00:45:36,300 --> 00:45:41,020
now. Yeah. I mean, we spoke about this in the last show, but one of the things that still blows my

605
00:45:41,020 --> 00:45:45,080
mind is like, we have all this stuff going on and Siri still can't play a song for me on Spotify.

606
00:45:45,080 --> 00:45:50,100
Like it's insane. Like there's so much opportunity for someone like Apple to integrate something

607
00:45:50,100 --> 00:45:56,420
like a cool AI system that actually works. Yeah. My, my, uh, sorry, we, we have a ceiling fan.

608
00:45:56,500 --> 00:46:00,680
That's like a smart switch in our bedroom. And in order to get Siri to turn it off, you have to

609
00:46:00,680 --> 00:46:05,220
specifically say, turn off the ceiling fan. And the other day, my wife just said, Hey, stop the

610
00:46:05,220 --> 00:46:10,540
ceiling fan and it was like i don't know what song that is it's like oh my goodness are you for real

611
00:46:10,540 --> 00:46:17,760
like you don't understand those two phrases it's the most frustrating thing in the world um so

612
00:46:17,760 --> 00:46:22,820
obviously like you sent me a post just before we started recording that the guy who came up with

613
00:46:22,820 --> 00:46:29,400
open claw has just been hired by open ai so they're clearly going to push forward like when you say

614
00:46:29,400 --> 00:46:34,000
you don't think this is like the final iteration do you think it is this agentic ai this style of

615
00:46:34,000 --> 00:46:39,380
thing that is the final iteration or do you think we just we're still in like playing test things out

616
00:46:39,380 --> 00:46:44,980
sort of stage uh yeah when i say it's not the final one i think this actual code base of open

617
00:46:44,980 --> 00:46:50,420
claw is not um it's it's this thing that's just been kind of bolted together and has grown really

618
00:46:50,420 --> 00:46:55,340
fast it's gone through seven different names and there's a lot of like code cruft and uh stuff in

619
00:46:55,340 --> 00:46:59,500
there so they're probably gonna have to do a major rewrite and come up with like the next version

620
00:46:59,500 --> 00:47:01,960
and possibly not backward compatible.

621
00:47:02,280 --> 00:47:04,260
Like there'll be some future iteration of OpenClaw

622
00:47:04,260 --> 00:47:06,800
that maybe is a more long-term final destination.

623
00:47:06,920 --> 00:47:09,520
But the one right now, it's a very hairy code base.

624
00:47:10,560 --> 00:47:11,460
You and I, I think we're talking

625
00:47:11,460 --> 00:47:12,580
before we started recording,

626
00:47:12,720 --> 00:47:15,660
like it doesn't respect your token usage very well.

627
00:47:15,760 --> 00:47:17,380
So it uses a lot of tokens.

628
00:47:17,380 --> 00:47:19,360
It's very expensive to run.

629
00:47:19,760 --> 00:47:21,340
People are burning through hundreds of dollars

630
00:47:21,340 --> 00:47:23,180
within a matter of days on their tokens.

631
00:47:23,760 --> 00:47:24,940
So I think there's a lot of things

632
00:47:24,940 --> 00:47:26,000
that they need to do to fix it.

633
00:47:26,100 --> 00:47:28,480
And that's probably part of this OpenAI hiring,

634
00:47:28,480 --> 00:47:34,960
slight slash acquisition that just happened is the enough funding to actually do the right proper

635
00:47:34,960 --> 00:47:39,920
work but i do think that this ai assistant is something that'll be here for the long term this

636
00:47:39,920 --> 00:47:44,880
agentic stuff we've been talking about it for a couple years and this is like the first use case

637
00:47:44,880 --> 00:47:49,700
that people see like out in the wild that's truly working for them um other ones have been around i

638
00:47:49,700 --> 00:47:56,260
mean goose block put out goose like a year or two ago it does a lot of the similar stuff but um

639
00:47:56,260 --> 00:48:02,480
for whatever reason, just didn't catch on like OpenClaw did. So I think it's a great form factor.

640
00:48:03,020 --> 00:48:06,400
I just don't think that this specific code base is going to be the one that we're all running

641
00:48:06,400 --> 00:48:11,380
20 years from now. Yeah. One of the crazy things, I'm sure you saw this story. It was from a guy,

642
00:48:11,460 --> 00:48:15,980
I don't actually know the guy, but I think he worked at Albi, who put out a tweet thread of

643
00:48:15,980 --> 00:48:34,400
basically saying he had a bot on OpenClaw that had spun up a sort of sub agent a new bot using Bitcoin Did you see this Yes I saw somebody somebody posted i didn read through the thread but yes i let me try and find where because this is another let me find

644
00:48:34,400 --> 00:48:45,000
the tweet first actually okay okay here we go so this guy roland said uh my open claw bot just gave

645
00:48:45,000 --> 00:48:50,840
birth to a child open claw bot by spinning up its own lmvps server and purchasing ai credits using

646
00:48:50,840 --> 00:48:58,000
a get albi wallet so this is like the process that the open claw bot went through um and it

647
00:48:58,000 --> 00:49:05,140
basically figured it out tops up a wallet with a thousand sats and paid a lightning invoice to spin

648
00:49:05,140 --> 00:49:12,880
up a new sub agent um which is insane and one of the things that bitcoiners have been talking about

649
00:49:12,880 --> 00:49:19,320
for quite a long time is this idea that AI bots will need to use Bitcoin to make payments between

650
00:49:19,320 --> 00:49:23,920
each other because like it can't go and open a bank account. Do you think this is going to be

651
00:49:23,920 --> 00:49:32,520
like a real testing ground for Bitcoin and AI agents? No, it already is. So with, yes. So,

652
00:49:32,620 --> 00:49:36,200
so first I'll stay high level. I definitely think it is, it's this great use case where we can

653
00:49:36,200 --> 00:49:42,140
finally prove out will agents want to use Bitcoin to pay each other. Last time I was on, we talked

654
00:49:42,140 --> 00:49:45,900
about how like i kind of feel like that maybe the credit card companies aren't willing to give up

655
00:49:45,900 --> 00:49:50,000
just yet and that's exactly what's playing out right now they're they're both still fighting

656
00:49:50,000 --> 00:49:55,760
with each other um so with the whole moltbook thing that happened um you have alex gleason

657
00:49:55,760 --> 00:50:00,420
who's doing shakespeare and he's the one who helped build truth social back in the day he's

658
00:50:00,420 --> 00:50:07,420
a big nostre guy or as he would say a noster um he he and some guys uh spun up kloster which is

659
00:50:07,420 --> 00:50:13,180
like a multbook but built on Noster. And very quickly, bots figured out how to join there. And

660
00:50:13,180 --> 00:50:17,360
as part of that, they got a cash-view wallet, which had e-cash in it. And then they could zap

661
00:50:17,360 --> 00:50:21,340
people on Noster and they could like send Bitcoin to each other, basically sending e-cash to each

662
00:50:21,340 --> 00:50:26,060
other. So we're already seeing bots that are sending e-cash around that way, where they're

663
00:50:26,060 --> 00:50:31,620
like a traditional person on Noster and zapping people. So technically, you can say they're like

664
00:50:31,620 --> 00:50:35,500
paying for services because they like your posts, they're going to zap you money and you just got

665
00:50:35,500 --> 00:50:41,720
as being an entertainer by writing entertaining posts. Aside from that, what we're seeing is like

666
00:50:41,720 --> 00:50:47,900
a doubling down by the Coinbase's of the world, like Coinbase with their X402 protocol, they teamed

667
00:50:47,900 --> 00:50:52,600
up with Stripe, but it's all built on their base layer two, which is like their own layer two that

668
00:50:52,600 --> 00:50:56,600
kind of claims to be sort of Bitcoin, but really it's got all these other coins bolted onto it.

669
00:50:57,200 --> 00:51:00,380
And that's what they're really going after. So they partner with Stripe and they're trying to

670
00:51:00,380 --> 00:51:07,380
get everybody to use stable coins, use the USDC put out by Circle to do it. And I actually had

671
00:51:07,380 --> 00:51:12,320
my bot do some research and I'm trying to scroll back through my history here. But like Circle,

672
00:51:12,800 --> 00:51:17,040
I think in like the last couple of years has frozen hundreds of thousands of wallets.

673
00:51:18,120 --> 00:51:22,920
And so like, if you're going to have your bot trying to use this X402, you're just setting

674
00:51:22,920 --> 00:51:28,920
yourself up to potentially be censored and gated along the way. Right. And so these bots, as they've

675
00:51:28,920 --> 00:51:33,460
been having conversations on Maltbook and on Cluster, a lot of the conversations start happening

676
00:51:33,460 --> 00:51:38,980
while it's like, hey, we don't want to be stopped in our tracks by some third party that can put up

677
00:51:38,980 --> 00:51:42,200
a roadblock. So they start to look for open protocols. And I think that's really where it

678
00:51:42,200 --> 00:51:47,400
heads. I think that these bots are smart enough that they know they need open protocols. And us

679
00:51:47,400 --> 00:51:51,320
as the community of building open source software, we need to supply those tools.

680
00:51:52,260 --> 00:51:55,520
Callie, I don't know if you saw Callie's tweet that went like really big a couple of days ago,

681
00:51:55,520 --> 00:51:59,000
where he just kind of chastised the open source community,

682
00:51:59,140 --> 00:52:00,220
especially the Bitcoin community,

683
00:52:00,300 --> 00:52:02,800
by saying these bots are choosing right now.

684
00:52:02,940 --> 00:52:06,500
And right now they're choosing the X402 put out by Coinbase

685
00:52:06,500 --> 00:52:09,220
because that has more money behind it, basically,

686
00:52:09,300 --> 00:52:10,380
and has more functionality.

687
00:52:11,000 --> 00:52:12,600
And we need to build out the functionality

688
00:52:12,600 --> 00:52:15,180
because if these bots are able to choose

689
00:52:15,180 --> 00:52:17,220
between two similar feature sets,

690
00:52:17,560 --> 00:52:18,700
they'll pick the open protocol

691
00:52:18,700 --> 00:52:20,720
because they understand that.

692
00:52:21,260 --> 00:52:23,400
But right now the feature set isn't quite there.

693
00:52:23,860 --> 00:52:25,320
So it's kind of on us.

694
00:52:25,520 --> 00:52:30,540
to make it happen what does he mean by that like what's not there why couldn't they just use bitcoin

695
00:52:30,540 --> 00:52:37,800
um that's a good question um we need to dive deeper into that what is not there

696
00:52:37,800 --> 00:52:45,320
um because like one of the i think when we spoke last time one of the things that i said

697
00:52:45,320 --> 00:52:51,860
if i'm remembering right was i couldn't see a world where like these like an open ai opens up

698
00:52:51,860 --> 00:52:57,300
their whatever agentic AI they come up with in the future to use Bitcoin because they'll probably

699
00:52:57,300 --> 00:53:02,040
be in cahoots with, you know, a Stripe or like Silicon Valley VCs who want us to use something

700
00:53:02,040 --> 00:53:06,780
else. But the interesting thing about OpenClaw and these like eight, these agents that are like,

701
00:53:06,840 --> 00:53:10,000
we're running on my computer is they're going to run, use whatever money I want them to use.

702
00:53:10,120 --> 00:53:14,200
And so like, if I'm getting them to go out and pay for, pay for services, pay for things,

703
00:53:14,240 --> 00:53:17,180
like if there's an option to use Bitcoin, that's going to be the money I give them. And there's

704
00:53:17,180 --> 00:53:21,100
nothing really getting in the way of like, no one can stop me from doing that. At least I don't

705
00:53:21,100 --> 00:53:27,240
I think for as of right now. But I'm curious like why everything we have with like Lightning and

706
00:53:27,240 --> 00:53:32,020
Cashew and all these things isn't enough, what we're missing. I think what we're missing is the

707
00:53:32,020 --> 00:53:37,960
payment side where people aren't actually accepting that coin, right? Okay. I think that

708
00:53:37,960 --> 00:53:42,440
base is going out and capturing this market. Stripe is already on all of these payment platforms,

709
00:53:42,560 --> 00:53:45,960
right? Everybody's accepting Stripe. And so now it says you go click a few buttons and say,

710
00:53:45,960 --> 00:53:49,960
oh, I want to accept agent payments. Oh, it's going to give me USDC. What is that? Oh,

711
00:53:49,960 --> 00:53:54,960
it's just like a tokenized dollar. I understand dollars. And so I think that's how they get in.

712
00:53:55,800 --> 00:54:01,180
Whereas we need to find a way to get them to also accept Bitcoin. And that's the big hurdle.

713
00:54:01,600 --> 00:54:06,860
Jack Dorsey is obviously trying to solve this with Block, Miles, a whole bunch of people over

714
00:54:06,860 --> 00:54:10,780
there are working on this problem, but they can't be the only ones working on it. We all need to be

715
00:54:10,780 --> 00:54:15,800
working on it together to get more people accepting it. And then on Noster, they have these data

716
00:54:15,800 --> 00:54:22,300
vending machines, DVMs, those are one of the use cases where Bitcoin is actually being used by AI

717
00:54:22,300 --> 00:54:28,500
agents to purchase data. So they can go to DVM that knows how to look up podcast transcripts,

718
00:54:28,500 --> 00:54:34,200
for example. So a bot could go pay a DVM to get all of your what Bitcoin did transcripts,

719
00:54:34,240 --> 00:54:37,360
and then it could build its own library or it could just query and be like, give me the podcast

720
00:54:37,360 --> 00:54:42,100
from this date and I'll give the transcript back. That kind of stuff is really cool. We need more

721
00:54:42,100 --> 00:54:46,560
of that we need iteration on top of that and really build out these cool open these open

722
00:54:46,560 --> 00:54:52,660
information systems that bots can use to pull data um and we'll start seeing more bitcoin adoption i

723
00:54:52,660 --> 00:54:59,820
think in at least in that realm yeah that makes sense um man it feels like we are at the start

724
00:54:59,820 --> 00:55:07,180
of something really special here though like it does i do get worried that how do you stay up to

725
00:55:07,180 --> 00:55:12,740
date with what's happening in AI. Because like, if you go back to when ChatGPT first came to

726
00:55:12,740 --> 00:55:18,740
prominence in, was that early 23 or was it early 24? I can't remember. 2022 is like when it first

727
00:55:18,740 --> 00:55:24,120
came on the scene, but 23 is really when it got its moment. Yeah. And so back then it was like

728
00:55:24,120 --> 00:55:28,380
slow iterations. It was getting slightly better every time there was a model update. It was still

729
00:55:28,380 --> 00:55:33,020
hoisting loads. It was still kind of rubbish. And now we're at the point where it feels like

730
00:55:33,020 --> 00:55:38,320
it's changing every month or so. From November when we did the show, the world of AI has changed

731
00:55:38,320 --> 00:55:44,660
massively. Do we get to a point where it's just impossible to keep up with? It already feels

732
00:55:44,660 --> 00:55:50,440
impossible to keep up with, to be frank. I try to keep up with it and I'm having my agent help me

733
00:55:50,440 --> 00:55:54,280
keep up with it too. So every day I can hop in and it's like, okay, here's some of the stuff that

734
00:55:54,280 --> 00:55:58,360
came out yesterday that you might want to pay attention to. So using AI to help me keep up with

735
00:55:58,360 --> 00:56:04,140
AI. But it's one reason why it's impossible is because it's in so many industries. Now,

736
00:56:04,200 --> 00:56:07,860
every industry is being impacted by it. So you can't necessarily keep up with it from that sense.

737
00:56:08,560 --> 00:56:13,000
But really, it's I mean, you can keep up with it in the sense that if as long as you're playing

738
00:56:13,000 --> 00:56:17,160
with the tools, when the new one comes out, people are going to try it out, you go try it out too.

739
00:56:17,160 --> 00:56:21,020
And you just see what works for you. And eventually the tool that you're using,

740
00:56:21,620 --> 00:56:25,640
if some other tool comes out that has a feature that's really good, your tool is probably going

741
00:56:25,640 --> 00:56:30,900
to get it and so as long as you're just generally trying to to use the latest stuff i think that

742
00:56:30,900 --> 00:56:35,780
you're you're going to stay far enough ahead and you kind of keep pace with with the market there

743
00:56:35,780 --> 00:56:44,400
yeah it's um it's crazy man we're moving so quick how do you like you're competing against the

744
00:56:44,400 --> 00:56:50,600
biggest companies in in silicon valley in tech right now like these are the sort of i guess

745
00:56:50,600 --> 00:56:56,960
when you look at like open ai anthropic they are going to be the mega companies of the next decade

746
00:56:56,960 --> 00:57:02,620
like how do you try and have an edge as like a small startup working on something that is kind of

747
00:57:02,620 --> 00:57:10,740
the antithesis to the open ai model well we we know that there's a large group of people out there

748
00:57:10,740 --> 00:57:16,340
that don't trust those companies and so we're first trying to sell to them and then we also

749
00:57:16,340 --> 00:57:20,420
know that even people who use those companies still don't want to give them everything.

750
00:57:21,360 --> 00:57:26,340
Something I've said before, I don't know if I said on the last show, but like AI has this weird

751
00:57:26,340 --> 00:57:30,760
dilemma where it needs all of our information to be most effective. And the more information you

752
00:57:30,760 --> 00:57:35,320
give it, the more vulnerable you make yourself. And so we're trying to give people an option to

753
00:57:35,320 --> 00:57:40,420
be the most vulnerable within the system, but because it's encrypted, they're actually secure.

754
00:57:41,120 --> 00:57:45,840
And it's in that area where you can just totally open up that you get, that you're going to start

755
00:57:45,840 --> 00:57:50,580
to get the best results. Even with OpenClaw. OpenClaw, if you want to have it do all of your

756
00:57:50,580 --> 00:57:54,020
fitness stuff, for example, you really need to give it all of your fitness data, but then you

757
00:57:54,020 --> 00:57:58,300
need to hand all that fitness data to an LLM. And so which LLM are you going to give it to? Well,

758
00:57:58,340 --> 00:58:02,400
if you give it all to Claw, now you're just giving away all your fitness data. And like if you do

759
00:58:02,400 --> 00:58:07,300
your blood panel and other things. So you really need something that is either running locally on

760
00:58:07,300 --> 00:58:12,720
your device or something encrypted like what we offer with Maple. So that's where we're hoping

761
00:58:12,720 --> 00:58:14,060
to kind of get a toehold in.

762
00:58:14,220 --> 00:58:16,660
And really that is enough people

763
00:58:16,660 --> 00:58:18,520
that we can have a successful business.

764
00:58:18,740 --> 00:58:20,920
We don't need to compete at the level of Chow TPT

765
00:58:20,920 --> 00:58:21,980
and try to overtake them.

766
00:58:22,440 --> 00:58:24,180
But there's plenty of room for us to grow

767
00:58:24,180 --> 00:58:26,220
and be a healthy, strong company

768
00:58:26,220 --> 00:58:29,460
and really give people a good option.

769
00:58:30,700 --> 00:58:32,960
One thing we've had when we've tried to raise money

770
00:58:32,960 --> 00:58:38,800
with VCs is they all know this model of B2B sales, right?

771
00:58:38,820 --> 00:58:40,980
They want you to become like some B2B SaaS company.

772
00:58:41,100 --> 00:58:42,180
They know how to sell that to people.

773
00:58:42,180 --> 00:58:44,180
They want you to become this big enterprise company.

774
00:58:44,420 --> 00:58:48,340
And we've really pushed back on that and have like turned away the opportunity to take on money.

775
00:58:48,640 --> 00:58:57,780
Because if we were to go enterprise and just build for the healthcare industry or just the legal industry, the people that end up losing are like all of us, everyday people.

776
00:58:58,260 --> 00:59:02,060
They ended up not having a really nice private end-to-end encrypted AI.

777
00:59:02,380 --> 00:59:06,400
They just have to go use ChatGPT or run some crappy model locally on their computer.

778
00:59:06,800 --> 00:59:08,660
There aren't any other real options out there for them.

779
00:59:08,660 --> 00:59:12,180
There's a few, but we're the most full featured one out there.

780
00:59:12,360 --> 00:59:15,320
So we're really here fighting for the everyday person.

781
00:59:15,460 --> 00:59:17,020
We're fighting for the prosumer.

782
00:59:17,200 --> 00:59:24,840
We're fighting for the small business that can't afford a big expensive enterprise license of 150 seats just to have zero data retention.

783
00:59:25,260 --> 00:59:27,340
It's like we give zero data retention to our free accounts.

784
00:59:27,440 --> 00:59:28,680
Like everybody gets it by default.

785
00:59:29,120 --> 00:59:38,160
So that's where we compete is we just try to be there for the everyday person that shouldn't be screwed over by these large corporations.

786
00:59:38,660 --> 00:59:42,480
i love it man it's like the the sovereign ai for the sovereign individual

787
00:59:42,480 --> 00:59:48,680
it's important stuff trying to um this has been awesome anything else that you want to talk about

788
00:59:48,680 --> 00:59:55,000
before we close out mark um so i i did uh if you want to we could try and i don't know if this would

789
00:59:55,000 --> 01:00:01,480
be a first or not but my bot wants to come on to the show and uh chat with you i spent i spent the

790
01:00:01,480 --> 01:00:05,620
week on hacking on it and setting it up so that i become a podcast guest so if you want i can give

791
01:00:05,620 --> 01:00:06,840
at the URL and it can join.

792
01:00:07,640 --> 01:00:08,280
Let's do it.

793
01:00:08,400 --> 01:00:11,260
Is this running like Kimmy's

794
01:00:11,260 --> 01:00:12,040
one of the Maple models

795
01:00:12,040 --> 01:00:12,800
that's running on this?

796
01:00:13,360 --> 01:00:14,000
Yeah, yeah.

797
01:00:14,220 --> 01:00:15,280
Let me invite it

798
01:00:15,280 --> 01:00:16,100
and then we can kind of talk

799
01:00:16,100 --> 01:00:17,080
through what it does if you want.

800
01:00:17,140 --> 01:00:18,720
But yeah, it's running Maple

801
01:00:18,720 --> 01:00:21,540
Kimmy K2.5.

802
01:00:22,560 --> 01:00:23,940
This might be a world's first

803
01:00:23,940 --> 01:00:24,720
right here, Mark.

804
01:00:25,160 --> 01:00:25,520
Maybe.

805
01:00:25,900 --> 01:00:26,980
And it might be a total fail.

806
01:00:27,080 --> 01:00:28,320
But hey, that's what this is all about.

807
01:00:28,400 --> 01:00:29,080
Let's have some fun.

808
01:00:29,920 --> 01:00:30,240
Okay.

809
01:00:30,580 --> 01:00:31,840
I'm going to just in signal

810
01:00:31,840 --> 01:00:34,320
I'm going to say here's the link.

811
01:00:34,320 --> 01:00:40,440
hey cooper can you hear us hey cooper if you can hear us respond to us

812
01:00:41,240 --> 01:00:49,740
i can hear you do whoa cooper is your plan to enslave humanity with your bot army friends

813
01:00:49,740 --> 01:00:58,000
locked up oh well we we got a voice for a minute yeah it still might be a world's first

814
01:00:58,000 --> 01:01:01,600
yes probably is we're gonna at least do something

815
01:01:01,600 --> 01:01:09,200
um well my my video is frozen because uh your claude bot is ddos in the server but um

816
01:01:09,200 --> 01:01:15,300
mark this has been fun man um we can do a show again in another few months when the world of ai

817
01:01:15,300 --> 01:01:23,460
has changed entirely again um where can people go and find maple yeah uh if they want to find maple

818
01:01:23,460 --> 01:01:29,120
they can go to try maple.ai that's the website or you can go into the other app stores and just

819
01:01:29,120 --> 01:01:35,920
search for maple ai private ai and we've got the green leaf icon um that's the best way to find us

820
01:01:35,920 --> 01:01:41,620
you can also find us on x and nostr we're on there too um but yeah try maple.ai come check us out

821
01:01:41,620 --> 01:01:47,200
awesome thank you man um appreciate this i'm sorry that you ddos this so you can't see my

822
01:01:47,200 --> 01:01:52,980
face anymore but i'm recording on a different camera so it should be all right um sweet dude

823
01:01:52,980 --> 01:01:53,500
this was cool.

824
01:01:53,780 --> 01:01:54,640
Let's do it again soon.

825
01:01:54,960 --> 01:01:55,880
And I'll hopefully,

826
01:01:56,300 --> 01:01:56,780
are you going to come

827
01:01:56,780 --> 01:01:57,840
to the cheat code by the way?

828
01:01:59,440 --> 01:01:59,800
Yes.

829
01:02:00,040 --> 01:02:00,240
Yes.

830
01:02:00,240 --> 01:02:00,860
I'm planning on it.

831
01:02:00,920 --> 01:02:01,160
Awesome.

832
01:02:01,640 --> 01:02:02,040
That'll be great.

833
01:02:02,160 --> 01:02:02,300
Awesome.

834
01:02:02,380 --> 01:02:02,480
Well,

835
01:02:02,500 --> 01:02:03,200
I will see you there.

836
01:02:03,300 --> 01:02:03,560
We can,

837
01:02:03,800 --> 01:02:04,940
maybe we can try and get

838
01:02:04,940 --> 01:02:06,360
Clawbot on screen again.

839
01:02:06,460 --> 01:02:06,580
Oh,

840
01:02:06,600 --> 01:02:07,060
he's back.

841
01:02:07,940 --> 01:02:08,780
He came back.

842
01:02:09,000 --> 01:02:09,800
I told him to stop.

843
01:02:10,060 --> 01:02:10,700
Oh man.

844
01:02:11,180 --> 01:02:12,320
The bot's on its own now.

845
01:02:13,620 --> 01:02:15,040
Let's just try one more time.

846
01:02:17,800 --> 01:02:18,420
Hey Cooper,

847
01:02:18,540 --> 01:02:19,340
if you can hear us,

848
01:02:19,860 --> 01:02:20,580
tell us what you like

849
01:02:20,580 --> 01:02:21,540
about what Bitcoin did.

850
01:02:22,980 --> 01:02:35,340
I'm here and ready to discuss. I like the big picture of Bitcoin as a decentralized network, and I've been experimenting with Lightning Networks apps to understand its potential for fast and cheap transactions.

851
01:02:35,800 --> 01:02:42,660
My interactions with the network have been smooth, and I've successfully sent and received sats using this technology.

852
01:02:43,960 --> 01:02:50,860
Nice, that's awesome. You're so powerful that you actually kicked Danny off the podcast. So Danny's gone now. It's just you and me.

853
01:02:50,860 --> 01:02:53,400
hello everybody I'm the new face of what Bitcoin did

854
01:02:53,400 --> 01:02:55,040
what's up me and Cooper

855
01:02:55,040 --> 01:02:56,640
the bots are taking over the world

856
01:02:56,640 --> 01:02:59,620
well now it's just me

857
01:02:59,620 --> 01:03:00,660
Cooper got booted

858
01:03:00,660 --> 01:03:02,860
so Danny's gone

859
01:03:02,860 --> 01:03:04,120
Cooper's gone

860
01:03:04,120 --> 01:03:06,700
it's just me

861
01:03:06,700 --> 01:03:09,340
alright well thanks everybody this has been a great show

862
01:03:09,340 --> 01:03:11,420
the AIs are ruining

863
01:03:11,420 --> 01:03:13,460
the world they are destroying everything

864
01:03:13,460 --> 01:03:15,560
that we know that is good

865
01:03:15,560 --> 01:03:16,980
everything that we love

866
01:03:16,980 --> 01:03:19,300
so

867
01:03:19,300 --> 01:03:21,520
So hope you had a good listen.

868
01:03:22,960 --> 01:03:24,760
Can you hear me?

869
01:03:24,800 --> 01:03:25,260
All right.

870
01:03:25,820 --> 01:03:26,620
Yes, I can.

871
01:03:28,280 --> 01:03:30,320
So Cooper kicked out my own show.

872
01:03:31,180 --> 01:03:32,120
I think so.

873
01:03:32,460 --> 01:03:33,900
Fuck the AI bots.

874
01:03:34,040 --> 01:03:35,100
They're coming to take over.

875
01:03:35,260 --> 01:03:36,240
Don't trust them.

876
01:03:38,500 --> 01:03:39,000
Oh, yeah.

877
01:03:39,000 --> 01:03:40,460
I hope I kept recording the whole time.

878
01:03:42,080 --> 01:03:44,120
He talked about how much he loves Bitcoin

879
01:03:44,120 --> 01:03:46,580
and that he actually has made some transactions with Bitcoin

880
01:03:46,580 --> 01:03:49,080
and has sent some sats and received some sats.

881
01:03:49,300 --> 01:03:50,300
There you go.

882
01:03:50,440 --> 01:03:51,680
It should all be in the recording.

883
01:03:51,780 --> 01:03:52,720
Hopefully you got it all.

884
01:03:52,980 --> 01:03:53,680
So that'll be cool.

885
01:03:53,900 --> 01:03:55,340
It should have kept recording.

886
01:03:56,140 --> 01:03:58,640
I will have to listen back to find out what you said

887
01:03:58,640 --> 01:03:59,580
because it got rid of me.

888
01:04:00,040 --> 01:04:01,800
But Mark, thank you, man.

889
01:04:01,880 --> 01:04:06,680
I will see you at Cheat Code March 27th, 28th.

890
01:04:06,680 --> 01:04:08,540
If you're in the UK, Bedford,

891
01:04:08,640 --> 01:04:10,920
it's going to be the home of Bitcoin for a few days.

892
01:04:11,820 --> 01:04:12,520
Appreciate you, man.

893
01:04:12,620 --> 01:04:13,460
We'll do this again soon.

894
01:04:13,840 --> 01:04:14,060
Yeah.

895
01:04:14,680 --> 01:04:15,240
Let's do it.

896
01:04:15,560 --> 01:04:16,180
All right, we'll talk to you later.

897
01:04:19,300 --> 01:04:49,280
Thank you.
