00:00Are you a marathon person? Have you done marathons before?
00:03I'm so not this person. I don't think anyway. No, I tried a marathon like more than 10 years ago,
00:11and it was a complete disaster. I mean, really complete disaster. I think a lot of runners
00:16sometimes will say that, oh, this didn't go well. And you look at the time and it's like,
00:21oh my goodness. No, this was genuinely a complete disaster. It was the Marine Corps
00:25marathon in Washington. I went to a podiatrist afterwards because I had so many problems and
00:31they were like, congratulations on your only ever marathon you're ever going to do. This is dumb.
00:36You're never going to do this. So this is not me, but I sort of decided, look, you know,
00:41I wanted to try something that I couldn't do. Right. And I wanted to sort of get myself in a,
00:50in a fitness shape that I, that I wasn't in and that I couldn't get into. And I was like,
00:56okay,
00:56if I'm going to do this, I need to make some changes. What could I do? And I was like,
01:02I know
01:02what I'm going to do. I'll go get a trainer better yet. Let me just build one myself.
01:07And you did. That's exactly what you did. I, I, I totally get where you are. I did the New
01:11York
01:11marathon, tore my meniscus and I swear I would never do another one again. So you're a better person
01:16than me, but you have like apps like Strava runner, right? You have human coaches, but you decided
01:23on chat GPT. Okay. So why did you decide to go that route with this? Well, look, so I'm living
01:31now
01:32in, in San Francisco, right? It's the world capital of artificial intelligence. And every single time
01:37that you talk to somebody I've discovered the number one question is, what are you doing? What are
01:43you building? You know, what are you trying to develop? And so there's this sort of spirit in
01:48the city that like anything is possible and the AI can kind of do a lot. So I guess there's
01:53a little
01:54bit of like optimism in the water, um, that, that, that all things are kind of possible. This is like
02:00San Francisco, I would say is like all things positive on AI where a lot of other places are
02:06like very much all things negative. And so there's a little bit of that optimism that I was trying to
02:12do,
02:12but there was also this, this curiosity, right? Which is basically, um, what could I do with it?
02:19I, it seemed like it would be a really smart way for me to be able to figure out, uh,
02:24what AI can do,
02:26maybe what it cannot do. And I, and, and, you know, use myself as my own Guinea pig. I'm, I'm
02:31always
02:32happy to, to, to sort of do that. I have not run a marathon. I don't want to run a
02:37marathon. I want to
02:39want to run a marathon. I keep waiting. I turned 40 this year and I thought maybe it'll kick in
02:44and
02:44I'll have a midlife crisis. And what? Nope. But as someone who's tried this once before, I'm assuming
02:50you trained a little bit before. What was the training regimen? What was different? What did
02:55chat GPT and our AI overlords tell you to do? Yeah. So, so it was really interesting. So I spent
03:02about
03:02an hour feeding this thing, this beast that I was building, uh, basically all of the training that I
03:09had done for everything before all of my, uh, 5k runs, my 10k runs, you know, the, the, the soccer
03:17I was doing, the tennis, I was playing all of that. I fed it, all of that. It came out
03:21with a plan for me
03:22of, of sort of going out about five or six days a week of doing something. Um, but it was
03:28a lot,
03:29it was a lot more structured, but what I found that was really different, it was, it was a lot
03:34more responsive. It was a lot more personalized. I could go back and say, Hey, look, here's how I'm
03:41feeling. Um, here's what I was thinking. Um, and, and, and it would make adjustments for me.
03:47And that was something I'd never really seen before. Um, you know, if, if something went wrong,
03:53it was able to be a lot more responsive than before. I actually, in this, in the, in the process
03:58of
03:59doing this article, I talked to some people who were, who were developing, uh, AI based fitness
04:05apps on the very, on the very vanguard of this technology. They said, that's actually something
04:09they're hoping to be able to build in future editions. So that's actually something it's not
04:15really out there. Um, but that was something really cool on the downside though. AI does have
04:22its limitations. You know, at some point, my, my AI system started hallucinating. It has a, it has a
04:29limit on how much stuff that you can tell it before it doesn't really know what's important and what's
04:35not important. So, you know, it's not necessarily an easy cure all this, this got, got very difficult to
04:43be able to manage as we were going through. All right, Derek, are you going to go when you do
04:47your
04:47next marathon? Cause you know, you're gonna, or maybe you're iron man or whatever. No, are you
04:52going for the app, the human or the chat GPT? Which are you going? If you had to do this
04:57again? Yeah.
04:58I'm going for a mix of humans and, and technology for sure. You know, you, you try and figure out
05:05how to get out, how to be moving, how to be positive and going forward. Uh, and any way you
05:10do
05:10that is good, but technology alone is not going to get you there. It can help though. And I do
05:16think
05:16that the, that this, um, this increase in AI technology is going to maybe make some of
05:22this a little bit more accessible to the general public than it has been before. Cause it's certainly
05:28if, if nothing else, it's a lot cheaper than some of the other options that may be on the table
05:34right
05:34now.
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