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03:42 dieses Buch The Three Body Problem also Drei Sonnen auf Deutsch das wurde ja

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06:38 just need a body to fill that role, I needed

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36:34 Our body intelligence. 36:16 not focusing on tending to my body, the vessel and 36:49 body and say, what do you need right now so

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31:44 was like, oh, I've seen that. That totally works. So yeah,

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08:56 and this just works for me. I'm not saying every 01:54 through a miscarriage and my body has not been taking 04:57 my health. But I really was hoping my body would

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28:25 Yep. Yeah. I think one lesson I've had to learn over and over again k. Is not doubling down and tripling down on something that already works even if it's a little bit. It's like almost like you find something that works, whether it's a marketing channel, whether it's a feature that you just launched, and it works and, like, hooray. 13:48 I was just, like, curled up on my bed 9 hours straight a day. Yeah. Wow. So, yeah, that that taught me to move my body more, and, also, it's time to hire a first employee. 14:51 Yeah. And that works really well if you have one specific type of meeting. Right? Like, Kevin, if you're just booking podcast interviews or, that that's great because it's one very specific type for Yeah. Recruiters, for salespeople, for customer support.

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22:33 And so I, you know, I that's kind of where I encourage different people to start is, like, yeah, Gen AI is cool and it will continue to get better and better. But there's other, you know, technologies out there that that can provide real proven value today where there's a body of case studies, that that you know you're gonna get good value out of. 21:36 Yeah. We have, you know, and that's, you know, we've tried to call it different things over the years, to kind of almost shy away from the term AI because Yeah. You know, it it kind of made people's head spin when you say AI or machine learning. They don't really know what that means or how it works. Sometimes they just think it's like this magical thing, that just magic you know, it just just solves all the world's problems. 41:51 And I think every industry is going to, you know, every industry is getting disrupted by by software and technology, and that that will continue. But I think it will accelerate with with AI. And so if whatever industry you're in or business model you have, I think sitting down and looking at how can AI help. And and candidly, you don't have to be an expert in all the different ways that AI works or use cases today. I would just start with what problems would it be really nice to solve within my current business model or my current industry.

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10:30 works. Interesting. 11:11 So the the idea of X Y O is is a protocol, like many of these things. And so there's certain rules of how it works. And the the primary concept in X. Y. O. 41:21 So I don't think it those tools preclude a person from having a cursory understanding of how technology works. It just precludes them from having to be an expert at those. And it's kind of what I was saying before, like, I don't have to be an expert at copywriting. I can use ChatGPT to copyright for me better than I can copyright because that's a skill which I would not say I'm, you know, the top 10% person of so, you know, especially for the skills where, you know, it really allows people to focus on their their expertise and then still get, you know, 70, 80 percent quality out of their non expertise. That's all it.

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43:51 It's not just like once I installed it and how it works. And like you said, people often like think, and it must, it must kill you. Like the user experience is just Yep. So Milo was like, how did they discover us? Like, you know, what did they first see? 19:09 And that makes the model smaller. And it it's obviously way more complicated than that. But, like, but it's it's not from an and the bridge user where, like, how that works is kinda rocket science. And then and then the second part is then what we are able to do is we're able to help them size. So the, really, it means, like, choosing the right infrastructure, in this case, it's CPUs.

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08:52 When you do the testing and something works or fails, what is the reaction among your colleagues? Do you get excited and cheer and and, you know, have a great commentary? Kind of like you're at, you we were alluding to, sports earlier, football earlier. It it do you have that type of atmosphere where you're sort of in awe of, like, woah, it really it worked, or or that thing flung apart before we could even get to Mach 5 and beyond? What what is that environment like? 35:15 And what you're discovering. Now there could now in the, on the spiritual side of things, you know, how they say the spirit works in mysterious ways. And they're they're re really there is truth in it because there might be some instances of our faith that just can't be calculated or can't be explained a lot. And so I do agree that there is an aspect to it where it's very much, it's very much spiritual and non non graspable. I'm trying to find words here, but yeah. 09:59 But not too flexible that it breaks. And so I have to walk. You know, the fine line of, you know, how, how rigid or how flexible it should be. And when it works, I, and you get beautiful data it's it's we do celebrate, when it doesn't work, I usually have to take the walk of shame and go outside and try to look for the broken pieces because the when when the model breaks, it gets, swept down downstream. The the the wind tunnel, the wind tunnel is open to the atmospheric environment outside, and there's a whole field of grass out there.

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14:05 body

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21:40 works

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37:06 His whole body had changed to a defeatist demeanor. 01:29 do at the end of every interview. When it works, 09:21 don't have a body, don't even have a name. I'm

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37:06 His whole body had changed to a defeatist demeanor. 01:29 do at the end of every interview. When it works, 09:21 don't have a body, don't even have a name. I'm