WEBVTT
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00:00:17.679Welcome back to Corpus Strategy, the podcast of Krippin and email.
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00:00:18.640I'm Anthony.
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00:00:20.960I'm Michael.
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00:00:22.640I was holding my breath for a long time, man.
00:00:22.879 -->
00:00:23.839I hoped you did.
00:00:24.079 -->
00:00:26.399I was I was thinking about letting it go even longer.
00:00:26.640 -->
00:00:30.239I was thinking about just never hitting the go button, never playing the intro song.
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00:00:31.920Sticking on that logo forever.
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00:00:36.320When was the last time you were in a pool?
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00:00:39.759Uh July.
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00:00:40.719July.
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00:00:42.159Okay, so it's been a little time.
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00:00:42.479Yeah.
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00:00:42.960Yeah.
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00:00:43.280Okay.
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00:00:53.920The reason I ask is like, do you ever like jump in the pool and like hold your breath and you realize you're so out of practice and like you're swimming for like 10 seconds underwater?
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00:00:55.840Like, I might drown right now.
00:00:57.679 -->
00:01:05.200I I remember distinctly when I was a child, I like I went off a high board once.
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00:01:16.400And I remember going in like you know, 12-foot deep pool, and it was really fun until I realized like I'm at the bottom of a 12-foot deep pool and I'm now out of air.
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00:01:24.480And uh I remember coming up was like very scary, like because there's no real risk for me.
00:01:24.560 -->
00:01:26.959I mean, obviously there's lifeguards there, they'd pull me out, whatever.
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00:01:30.959It was a public pool, but like in that moment, I'll never forget it.
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00:01:45.439Like it's a core memory of just being trapped underwater, deeper than I'd ever been before, having fun, and then that moment of panic, like I want to breathe, and I'm way below where I should be, and I have no oxygen to help propelling the help.
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00:01:46.319So I have to get up.
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00:01:48.000So it was it was very scary.
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00:01:50.239Yeah, but not not in a long time.
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00:01:51.519And I think it's because that happened.
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00:01:57.920I'm always very cognizant of my depth and how much air I have, uh, because I never want to feel that again.
00:01:58.799 -->
00:02:07.920I just bring it up because I hold my breath in this podcast, and then it makes me think about how few times in in my daily life do I ever actually hold my breath.
00:02:08.159 -->
00:02:10.879When I feel like when you were a kid, you were always holding your breath.
00:02:11.039 -->
00:02:13.759I used to do a little surfing, I would always have to hold my breath.
00:02:13.919 -->
00:02:17.360But nowadays I'm just like, I never have to hold my breath except for this podcast.
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00:02:19.280You're the only thing keeping me in practice.
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00:02:21.919I I really am, and it's good for you, actually.
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00:02:23.039Opens up your sinuses.
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00:02:25.039Yeah, believe it or not.
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00:02:32.240Yeah, yeah, clears the nasal passages because uh your body thinks it's drowning, so it's like I gotta get all the or suffocating, not drowning.
00:02:32.879 -->
00:02:33.280Suffocating.
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00:02:36.479You know what you made me think about of like an irrational fear?
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00:02:47.039There's uh some natural springs near us, and in one of the unnatural springs, you can swim down underneath like this whole rock pile, and it like propels you out the other side.
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00:02:48.000No, wouldn't it be?
00:02:48.159 -->
00:02:51.599And for me, like that irrational fear is like you just get stuck.
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00:02:53.280Never, like you know you're gonna be fine.
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00:03:01.759You see little kids doing it, you're like, I'll be fine, but like that that irrational feeling in your head is like I'm gonna swim underneath there, I'm gonna get stuck and I'm gonna drown.
00:03:01.919 -->
00:03:03.280How terrible would that be?
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00:03:05.280As a I'm sure it's happened.
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00:03:13.120As a creature that evolved from a monkey, uh, I stay away from anything that a monkey would stay away from.
00:03:13.280 -->
00:03:15.280So skydiving, absolutely not.
00:03:15.520 -->
00:03:17.439A monkey wouldn't skydive, nor would I.
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00:03:18.639I'll climb a tree.
00:03:18.800 -->
00:03:19.199Sure.
00:03:19.439 -->
00:03:21.120Monkeys climb trees, I can climb a tree.
00:03:21.199 -->
00:03:22.719I can climb a tree and I can get down from a tree.
00:03:22.800 -->
00:03:24.159I'm not scared of climbing trees.
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00:03:26.879I won't skydive, I won't go in caves.
00:03:27.199 -->
00:03:34.960I'm certainly not gonna go through uh a spring that it sucks you in and spits you out like absolutely not.
00:03:35.120 -->
00:03:37.360A monkey would not do that, so I will not do that.
00:03:38.159 -->
00:03:41.120You know, monkeys jump from tree to tree.
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00:03:42.960Yeah, they swing from vine to vine.
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00:03:43.759That's all good.
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00:03:44.400I'd do that.
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00:03:45.439Yeah, okay, yeah.
00:03:45.599 -->
00:03:46.719All right, I can do that.
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00:03:50.080Monkeys also eat bugs off their partner.
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00:03:53.680Do you want me to go get the bag of crickets and eat them on on stream?
00:03:53.759 -->
00:03:54.080I'll do it.
00:03:54.159 -->
00:03:54.800I have a bag of cricket.
00:03:54.960 -->
00:03:57.840No, no, it's gotta be it's gotta be off your partner, you know?
00:03:58.719 -->
00:03:59.439Is it a cricket?
00:03:59.759 -->
00:04:00.879I'll eat it.
00:04:01.520 -->
00:04:02.159I'll eat it.
00:04:02.240 -->
00:04:04.400There's a cricket on my partner, I'll just chop that thing.
00:04:04.479 -->
00:04:06.800If it's if it's a cricket on you, I'll pick it off and eat it.
00:04:07.280 -->
00:04:13.599Back in the good old days, you brought candy to the office that was like, did you did you bring this or did someone else bring this?
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00:04:16.399And why am I remembering that it was like other cricket chocolate?
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00:04:17.600Yes, brought that.
00:04:17.759 -->
00:04:19.360Oh no, I did have the cricket chocolate.
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00:04:20.160Yeah, that was me.
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00:04:20.800That was me.
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00:04:23.680I have a bit of a bag of crickets in the kitchen.
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00:04:25.920They're delicious, they taste very nutty.
00:04:26.240 -->
00:04:28.399It's great for your digestion.
00:04:29.439 -->
00:04:32.879You got fungus that you eat, you got crickets that you eat.
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00:04:33.199Yep.
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00:04:35.199I showed you my fungus gummies.
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00:04:36.959Those things are gnarly, aren't they?
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00:04:40.480You showed me your fungus, and I was not a fan.
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00:04:42.480Yeah, no, they're they're good.
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00:04:43.199They're good.
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00:04:45.519They uh they put me to sleep, which is great.
00:04:45.600 -->
00:04:46.399It's what I need.
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00:04:48.560Yeah, that's hilarious.
00:04:49.199 -->
00:04:49.839I love it.
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00:04:50.879How are you feeling?
00:04:51.040 -->
00:04:52.319We're not in person today.
00:04:52.560 -->
00:04:53.600I'm worried about you.
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00:04:55.439Yeah, well, I'm sick.
00:04:55.600 -->
00:04:56.879I'm on antibiotics.
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00:05:01.199Had a um I've actually had it for weeks now.
00:05:01.360 -->
00:05:03.360I just I associate it with weather.
00:05:03.439 -->
00:05:10.639I have a sinus infection, and we had some cool weather come through about a week and a half ago.
00:05:10.879 -->
00:05:14.720And usually when that happens, I get migraines just because of pressure, and I'm very sensitive to it.
00:05:14.879 -->
00:05:21.279So I thought it was uh weather-related migraines, and it might have been, but actually it was weather-related sinus infection.
00:05:21.360 -->
00:05:26.720So, you know, I treat it, I take uh Excedrine, I drink a lot of water, and that usually helps get rid of it.
00:05:26.800 -->
00:05:28.160And it it kind of did.
00:05:28.560 -->
00:05:30.319So I felt a little better.
00:05:30.720 -->
00:05:33.600And then uh this weekend it just came back.
00:05:33.680 -->
00:05:36.240And I'm like, man, why do I get that migraine again?
00:05:36.639 -->
00:05:42.560And in and the reason is I used to have like chronic sinestis, which is like sinus infections, but I haven't had it in so long.
00:05:42.720 -->
00:05:46.480I got it cleaned up, I got it cleared out, and I was like, I'm fine now, I'll live forever.
00:05:47.040 -->
00:05:48.720And this weekend was bad.
00:05:49.199 -->
00:05:52.240Uh Monday I started to feel a little better.
00:05:52.480 -->
00:05:58.000And then Tuesday, I had such crippling pain that I was just throwing up all day.
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00:06:00.319And it was serious, awful.
00:06:00.560 -->
00:06:00.720Yeah.
00:06:00.800 -->
00:06:04.079So then I went to the doctor and they're like, You have a sinus infection.
00:06:04.160 -->
00:06:04.879I'm like, dang it.
00:06:04.959 -->
00:06:07.120I thought I thought I escaped this fate.
00:06:07.360 -->
00:06:09.360But uh, yeah, it turns out I've had one for a while.
00:06:09.920 -->
00:06:13.920I'm on antibiotics now, but it's still it's still a little there.
00:06:14.079 -->
00:06:15.199I mean, it kind of sucks.
00:06:15.439 -->
00:06:19.759I literally just got uh this is uh privilege and power.
00:06:19.920 -->
00:06:29.120Uh I literally just got my steam frame shipped, which is the new VR headset made by Valve, and I have not been able to take it out of the box and wear it because like I'm I'm dying.
00:06:29.360 -->
00:06:35.199Um but I'm hoping this weekend it'll finally be clear and I'll be able to test this thing out and put it through its paces.
00:06:35.279 -->
00:06:36.959But uh, it has been awful.
00:06:37.120 -->
00:06:42.240I actually had to like not work for a day, which because I was just I could not.
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00:06:46.240So uh happy to be coming out of it.
00:06:46.560 -->
00:06:51.600Happy to be coming out of it before I go on my big trip because that would really suck.
00:06:51.839 -->
00:06:55.759And uh it just don't don't get a sinus infection, y'all.
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00:06:57.120It is the worst.
00:06:57.519 -->
00:06:59.680Well, you know, I got some bad news for you.
00:06:59.839 -->
00:07:00.560You know why?
00:07:00.720 -->
00:07:01.120Why?
00:07:01.360 -->
00:07:05.040Uh tomorrow it's gonna drop like a good 10 degrees.
00:07:05.199 -->
00:07:05.600Oh, I know.
00:07:05.680 -->
00:07:06.319I feel it right now.
00:07:06.959 -->
00:07:08.000Yeah, yeah, yeah.
00:07:08.160 -->
00:07:14.399Yeah, my wife is the same way, like she gets really bad kind of with changes of weather, sinus-related activity.
00:07:14.560 -->
00:07:17.439I'm pretty, I'm I'm pretty undeterred.
00:07:17.519 -->
00:07:18.720Undeterred is probably the right word.
00:07:18.800 -->
00:07:21.360Like, it doesn't really affect me one way or the other.
00:07:21.519 -->
00:07:25.040I'm just not my body adapts well to the environment.
00:07:25.279 -->
00:07:41.040Like I was in Colorado this uh this summer and we went on a hike, like we're in Florida, so we're at like zero foot above sea level, and we hiked up to like 20, I forget what it was, it was almost like 20,000 feet, which is pretty crazy, like that hike we went on.
00:07:41.199 -->
00:07:43.199And I was really worried about altitude sickness.
00:07:43.279 -->
00:07:48.160I'm like zero to 20,000 in like 36 hours is pretty crazy.
00:07:48.560 -->
00:07:49.519But I was totally fine.
00:07:49.600 -->
00:07:51.839I didn't have any issues, no sinus issues, nothing.
00:07:52.000 -->
00:07:54.639It it is uh it is a way that we are built.
00:07:54.800 -->
00:07:59.600Like it's just some humans are built differently, and uh it sucks.
00:07:59.839 -->
00:08:03.279It sucks, let me tell you, because anytime like a storm comes out, I can feel it.
00:08:03.360 -->
00:08:04.560Like it's gonna rain today.
00:08:04.720 -->
00:08:06.480I'm better than I'm better than the weather app.
00:08:06.560 -->
00:08:07.040I can tell you.
00:08:07.120 -->
00:08:09.120I can tell you when it's gonna rain because I get a headache.
00:08:10.560 -->
00:08:11.839You know, it's just an idea.
00:08:12.000 -->
00:08:16.560Maybe no crickets, no fungi, maybe just McDonald's, and you'll feel fine.
00:08:16.800 -->
00:08:19.360Yeah, no, you know, I've never given that a shot.
00:08:19.519 -->
00:08:22.079And uh it's really on me for not trying it out.
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00:08:23.120So I think I will.
00:08:23.279 -->
00:08:23.759No, thanks.
00:08:23.839 -->
00:08:24.720It's good good advice.
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00:08:25.120Yeah.
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00:08:26.000Yeah, you're welcome.
00:08:26.079 -->
00:08:29.120Yeah, a uh side topic to the main topic.
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00:08:30.800Uh, and you probably feel this.
00:08:30.879 -->
00:08:37.440I've been feeling this more lately because I've been working from home uh for the last, well, 10 months of this year.
00:08:37.840 -->
00:08:49.039Since January work from home, I've really noticed the cognitive load and lack of novelty become a problem for my brain.
00:08:49.360 -->
00:08:59.279Like working in the same office, sitting at my desk for so long, even small walks, like I go on walks every day, but I miss, I was thinking to myself about this the other day.
00:08:59.440 -->
00:09:13.679I miss like when we would carpool and just like drive and like go and see things and like go in stores because it could be like two weeks and like I don't really leave the house other than just to like go down the road, which I've noticed lately has been like a problem for my brain.
00:09:13.840 -->
00:09:17.600My brain just gets overloaded, and the second I get out, I'm like refreshed.
00:09:17.679 -->
00:09:19.360I'm like, oh yeah, I feel better.
00:09:19.519 -->
00:09:30.320Yeah, it's it's definitely it's definitely a reason why I've become such a gamer in my since I've gone remote because I've been a fully remote employee for like 10 years now.
00:09:30.559 -->
00:09:37.840For years, and yeah, I mean, like it's been a long time I've been in this office, and I've definitely the uptick of gaming that I do is increased.
00:09:37.919 -->
00:09:45.200You know, I do VR and things like that, and it helps because it it gives me that feeling of escape without having to escape.
00:09:45.440 -->
00:09:48.320But also my wife and I like to go to botanical gardens.
00:09:48.399 -->
00:09:54.320We love to go to local restaurants and hit up all the spots and do stuff, and that helps too.
00:09:54.559 -->
00:09:57.440So I I agree wholeheartedly.
00:09:57.840 -->
00:10:02.480I would I would absolutely go back to an office, but it has to not suck.
00:10:02.639 -->
00:10:04.480And I think that's like the big thing, right?
00:10:04.559 -->
00:10:05.679Like that's the hard thing.
00:10:05.840 -->
00:10:12.080It's gotta be cloch-ish because I don't want to, you know, kill a dinosaur to have to get to work, but also it's gotta not suck.
00:10:12.399 -->
00:10:18.399But I I I I I do empathize, but I've I've found my coping mechanisms that help get through it.
00:10:18.559 -->
00:10:18.799Right.
00:10:18.960 -->
00:10:20.799Yeah, I think that's the key for me.
00:10:20.879 -->
00:10:24.480Like, I've I've always done walks, like I'd go on a side, walk a couple miles.
00:10:24.559 -->
00:10:29.360Like, I it's always been a thing for me, but I'm really good with routine.
00:10:29.519 -->
00:10:37.440I just never realized how draining it can be to have like no difference in your day every day.
00:10:37.600 -->
00:10:42.799It's just weird, like you're the way your brain reacts, and I'm kind of just I've been thinking through it because I'm like, this is so weird.
00:10:42.960 -->
00:10:45.840Because anytime I get out, I instantly feel like relief.
00:10:46.000 -->
00:10:51.039And it's not that it's a bad, I mean, I have a great office, I'm in a comfortable home, first world problems for sure.
00:10:51.200 -->
00:10:55.200But it's one of those things of like knowledge workers that I'm like, I bet other people feel the same way.
00:10:55.440 -->
00:10:57.120Like you just feel like you're stuck in that rhythm.
00:10:57.360 -->
00:11:11.919No matter, like redoing the office was great, it feels nice, but it's still you're still in that same headspace in that zone of familiarity, and you need something of nuance to break you out of that cycle and make your brain function better.
00:11:12.159 -->
00:11:17.039Fire off the synapses for different colors, different things going on, even like being in a car.
00:11:17.120 -->
00:11:18.480I'm like, this was fun.
00:11:18.720 -->
00:11:21.200Well, and I mean it's I think that's a big reason.
00:11:21.279 -->
00:11:25.840Like, you know, gaming is my hobby, but I used to mostly play the same kind of thing.
00:11:26.000 -->
00:11:28.240It was mostly just like action games and shooters.
00:11:28.399 -->
00:11:41.679Like now I do puzzle games, strategy games, I learn how to do fighting games, and it's it's I think it's because I appreciate the brain scratching nature of having to learn something and deal with the friction of something that is not the same as what I do.
00:11:41.840 -->
00:11:44.559I think it's also why I started like reading classic novels.
00:11:44.799 -->
00:11:51.919It's because they're very difficult to get through and it's a different kind of language than what I'm reading every day, and it helps scratch that itch.
00:11:52.320 -->
00:11:57.360The one thing like I do less and less now, which is helping, I think, is watching TV.
00:11:58.000 -->
00:12:05.120I think just TV and like screen-based linear media, but I don't I don't know.
00:12:05.360 -->
00:12:06.720I don't think it's very good for us.
00:12:06.879 -->
00:12:08.799Uh, I have shifted more to documentaries.
00:12:08.879 -->
00:12:10.639Like I've been watching a lot of Ken Byrne stuff.
00:12:10.960 -->
00:12:21.360I watched the Ken Burns Civil War documentary, I watched the Prohibition documentary, we're watching the Revolutionary War documentary, and those are really great because I feel like it gives context to things I see in the world, and that's helpful.
00:12:21.840 -->
00:12:29.039But uh I've watched a lot less and less of just like entertainment-based television, and I think that helps too.
00:12:30.000 -->
00:12:34.320Also, then you don't have to support like all these just crappy streaming services, which is nice.
00:12:34.399 -->
00:12:35.360It's one less thing to pay for.
00:12:35.519 -->
00:12:36.799Yeah, that's very true.
00:12:37.279 -->
00:12:37.679100%.
00:12:38.320 -->
00:12:40.240Well, anyways, that was a side topic for the main topic.
00:12:40.320 -->
00:12:42.080But I have a side topic I'd like to discuss.
00:12:42.320 -->
00:12:44.639I actually really have I've wanted to talk about this with you.
00:12:44.799 -->
00:12:52.639We couldn't talk about it last week because we had Brooklyn on, but uh, I need to know your thoughts on the current state of reverse engineering through AI.
00:12:53.519 -->
00:12:56.080Before I tell you any of my opinions, I want to hear yours.
00:12:56.159 -->
00:12:57.759Like, I want to hear what you think about this.
00:12:59.279 -->
00:13:03.519My thoughts on reverse, like like morally, is it good?
00:13:03.679 -->
00:13:04.240Is it bad?
00:13:04.320 -->
00:13:06.080Or like what are your thoughts, man?
00:13:06.240 -->
00:13:07.120What are you thinking?
00:13:07.279 -->
00:13:12.399Like, you you see I mean they've reverse engineered Photoshop, and you can just go download a free Photoshop online.
00:13:12.559 -->
00:13:13.679Like, what are your thoughts on that?
00:13:13.759 -->
00:13:14.720How do you feel about that?
00:13:14.960 -->
00:13:15.519Right.
00:13:16.879 -->
00:13:17.360All right.
00:13:17.519 -->
00:13:20.159The state of where AI is right now, yeah.
00:13:20.480 -->
00:13:26.480It's that's where we have to kind of step back to software is turning into a commodity.
00:13:27.440 -->
00:13:29.039Anybody can build software now.
00:13:29.200 -->
00:13:35.200It used to be you have to know how to write code, you got to know how to do set up everything like your compiler and everything on your computer.
00:13:35.360 -->
00:13:38.399Like now you don't even have to care about any of that.
00:13:38.480 -->
00:13:43.519You can literally just go online to a Replit two-Od app builder and you can build Photoshop.
00:13:43.679 -->
00:13:44.240That's a thing.
00:13:44.320 -->
00:13:44.480Yeah.
00:13:44.639 -->
00:13:48.799And like the reverse engineering, reverse engineering as a concept has always been there.
00:13:49.039 -->
00:13:52.639Companies reverse engineer each other to understand like how exactly does this work.
00:13:52.799 -->
00:13:56.320And like it's no different than anything else.
00:13:56.559 -->
00:13:58.720But like that concept has been around forever.
00:13:58.879 -->
00:14:04.879But the idea that AI can do it in such rapid succession, much better than a human.
00:14:05.039 -->
00:14:07.919Like, you probably remember, I think we did this for competitors back in the day.
00:14:08.000 -->
00:14:14.639You'd sign up for their product, you would use their APIs, you'd understand like what happens when you send this input versus that input.
00:14:14.720 -->
00:14:18.720Like that was all okay to do when you'd understand, oh, that's how it works.
00:14:18.879 -->
00:14:20.000I understand it now.
00:14:20.159 -->
00:14:23.519And like that was a common thing, but now AI can literally just go do that.
00:14:23.759 -->
00:14:27.600And and what's the what's the the goal of reverse engineering?
00:14:27.759 -->
00:14:31.039It's to understand or to build something similar, right?
00:14:31.200 -->
00:14:35.279So you understand the core concepts of it, you understand how they achieved it, so that way you can go do it.
00:14:35.440 -->
00:14:39.360And AI is basically skipping the step of you manually need to understand it.
00:14:39.440 -->
00:14:40.559I'm just gonna go build it.
00:14:40.639 -->
00:14:41.039Yeah.
00:14:41.279 -->
00:14:43.519I mean, it's so it's really interesting.
00:14:43.679 -->
00:14:44.960I don't think it's a bad thing.
00:14:45.120 -->
00:14:59.120I think what the reality of what happens is the the value chain shifts from being able to build to now being able to capture an audience to be able to market really well and to have product taste rather than just building AI slop.
00:15:00.000 -->
00:15:00.960I like that.
00:15:01.360 -->
00:15:19.200And I I don't know if I agree because I I I still think it's slop, but uh my my take on this is uh, and I I I'm coming at this from like Sony is on a path of self-imolation right now.
00:15:19.279 -->
00:15:20.799We've talked about this before in the podcast.
00:15:20.960 -->
00:15:22.159You've probably seen it in the news.
00:15:22.399 -->
00:15:28.639They're just like, I don't know what's going on there, but they are absolutely cutting off every part of their nose for no reason whatsoever.
00:15:28.720 -->
00:15:32.960Um, it does not seem like it's in it's in chasing of profits or profitability.
00:15:33.039 -->
00:15:36.000It really seems like they just want to hurt themselves as a company, which is you know a strategy.
00:15:36.159 -->
00:15:37.120It's a bold one.
00:15:37.360 -->
00:15:50.879Um and then you see uh these like you know, vibe coders go and literally build a PlayStation emulator on the PC that is now running games better than the PlayStation can run them.
00:15:51.519 -->
00:16:07.679And like uh this honestly feels like one of the first uh utilizations of AI almost as a protest and as a method of basically saying, like, you are no longer customer facing, you are no longer consumer facing.
00:16:08.159 -->
00:16:18.240I am going to do uh the most legal thing I can do, which is reverse engineer your product and then provide a service that competes directly with you to make you more customer-facing.
00:16:19.200 -->
00:16:22.000And uh I'm very excited by this.
00:16:22.159 -->
00:16:25.279I think it's great because one, no one understands it.
00:16:25.679 -->
00:16:32.159And it that highlights a huge problem that I've had with AI since day one is people fundamentally don't understand it.
00:16:32.320 -->
00:16:40.960And this is gonna force businesses and individuals to come to terms with the fact that, like, hey, we've just left this thing out in a while and like anyone can do anything with it.
00:16:41.039 -->
00:16:42.879And y'all said this is okay.
00:16:43.519 -->
00:17:02.799But it will also create so many lawsuits and legal loopholes, and it's just gonna gum up all of the works of what is ownership, what is copyright, what is intellectual property that uh I think it will finally kickstart what has needed to happen for decades, which is the idea of digital ownership.
00:17:03.360 -->
00:17:09.519Uh the idea of like what is yours when it comes to code and source and operating models.
00:17:09.839 -->
00:17:14.160It's funny because in the 90s, it like keeping it in the PlayStation, there was this.
00:17:14.400 -->
00:17:15.599Do you remember the Dreamcast?
00:17:15.759 -->
00:17:20.079Uh are you familiar with the greatest console ever made called the Sega Dreamcast?
00:17:20.319 -->
00:17:25.519So there was this uh company based in the UK called uh Bleam.
00:17:25.920 -->
00:17:35.359And they actually created a disc because they reverse engineered the PlayStation and figured out how to make uh the Dreamcast think it was a PlayStation.
00:17:35.440 -->
00:17:41.599So you ran the Bleam Disc on your Dreamcast, and then they could play certain PlayStation games, and they were sued by Sony.
00:17:41.920 -->
00:17:46.880Interesting, and they won because everything they did was within legal copyright.
00:17:47.039 -->
00:17:48.480And it's like, okay, yeah.
00:17:48.640 -->
00:18:04.640So now we've got like literal teenagers doing this for Adobe, literally one of the most hated companies on the planet by everybody because of like their shady business practices, your the subscription policies they've got going on, just their artifacts, their product sucks, but you're forced to use it.
00:18:04.799 -->
00:18:08.960Like it it's going to force this conversation to finally happen.
00:18:09.200 -->
00:18:10.400And I'm excited by it.
00:18:10.480 -->
00:18:12.079I think it's I think it's great.
00:18:12.160 -->
00:18:21.599I think it solves a lot of the concerns and problems I've had, both with businesses as well as AI, because we really do need to regulate this, and no one's doing anything about it.
00:18:21.759 -->
00:18:31.039So now we have to say, like, okay, do I want my intellectual property being stolen at at the cost of being able to regulate AI, or are we going to go for the Wild West?
00:18:31.279 -->
00:18:32.559I think either option is great.
00:18:32.640 -->
00:18:34.880Uh and I'm just curious to see which one we go down.
00:18:37.440 -->
00:18:40.079Yeah, it's okay.
00:18:40.160 -->
00:18:44.000So if you think about you think about products you buy, right?
00:18:45.279 -->
00:18:48.240Where where can you buy products cheaply?
00:18:49.599 -->
00:18:51.920Well, you go to the manufacturing from China.
00:18:52.160 -->
00:18:53.119Oh, okay.
00:18:53.519 -->
00:18:54.480You go to China.
00:18:55.279 -->
00:18:58.880They basically are doing this, you've been doing this in manufacturing for how long, right?
00:18:58.960 -->
00:19:02.960You can you can buy a high quality product in America, yeah, right?
00:19:03.119 -->
00:19:13.519Or you can buy the Chinese alternative, which nine times out of ten is worse quality and it's going to die on you faster, or it's going to have faults in it, and it's going to take you know a long time to get to you.
00:19:13.680 -->
00:19:15.440But you chose to buy that option.
00:19:15.519 -->
00:19:16.640And software is very similar.
00:19:16.799 -->
00:19:20.319It's like now that software is becoming a commodity, I see it being the same thing.
00:19:20.400 -->
00:19:27.839It's like, sure, you can buy that vibe-coded thing over there, but it doesn't come as the per, it's going to have gaps.
00:19:27.920 -->
00:19:29.279They don't have a giant support team.
00:19:29.440 -->
00:19:32.480They're not going to support your customer use cases, they're not going to have enterprise reliability.
00:19:32.640 -->
00:19:40.799So it's while it's cool they can build that, they're still never going to beat the big guys unless like they can get the adoption, they can scale and support them.
00:19:40.960 -->
00:19:42.480There are cases that it will happen.
00:19:42.559 -->
00:19:44.400There will be disruption for sure.
00:19:44.559 -->
00:19:46.400But I think it's the same thing as manufacturing.
00:19:46.480 -->
00:19:54.720It's like you're you're not going to be able to recreate the exact same product and have the same product standpoint as one of the major firms.
00:19:55.519 -->
00:19:58.079See, I logically, I agree with you.
00:19:58.960 -->
00:19:59.839That's how I am, right?
00:20:00.000 -->
00:20:02.799Like I buy American whenever I can.
00:20:02.960 -->
00:20:04.799If I can buy an American-made product, I do.
00:20:04.880 -->
00:20:08.240I don't care how much more it costs, I will always buy made in America.
00:20:08.400 -->
00:20:08.880Suck it, Europe.
00:20:09.279 -->
00:20:10.559When I didn't have the means, yeah.
00:20:10.799 -->
00:20:14.880When I didn't have the means, I would buy the cheaper stuff and I just would accept it's going to be worse quality.
00:20:14.960 -->
00:20:17.519But now that I have the means, I always pay a little extra for something.
00:20:17.839 -->
00:20:18.640Always pay a little extra.
00:20:18.720 -->
00:20:24.400You buy American, you use American shipping, you use whatever you can to keep it like in the family, paying taxes on it.
00:20:24.480 -->
00:20:24.720Yeah.
00:20:24.880 -->
00:20:26.880Might as well keep it in the family, right?
00:20:27.119 -->
00:20:31.759But I think you and I are very much exceptions to the norm.
00:20:31.839 -->
00:20:37.279Um, I've literally had family members say, like, who are very, I'll just call them American-minded.
00:20:37.440 -->
00:20:42.720Uh, no, I like buying the Chinese stuff from Amazon because it's cheaper and it helps my budget.
00:20:42.799 -->
00:20:52.640And I'm like, but you claim to be like a patriot and uh, you know, an American citizen, and yet you are supporting completely.
00:20:52.799 -->
00:20:57.119Uh, your your money is leaving the country and going into uh completely non-American hands.
00:20:57.359 -->
00:21:03.119So I don't uh think uh there are many people who are like us.
00:21:03.279 -->
00:21:06.079Uh there are many, but there are not many of many.
00:21:06.319 -->
00:21:08.000And um I don't know.
00:21:08.160 -->
00:21:21.519I think if you offer something that is just I can go just download this online for free right now and play the latest PlayStation games on it, and I don't have to buy a$1,400 upcharged PlayStation because the supply chain is insane.
00:21:21.680 -->
00:21:23.039Like, why wouldn't I?
00:21:23.279 -->
00:21:23.519Right.
00:21:23.680 -->
00:21:28.160And I don't know, like it excites me because this is the breaking point.
00:21:28.319 -->
00:21:32.559This is where things really start to crack and we will see change occur.
00:21:32.720 -->
00:21:35.279So I don't know, just excites me.
00:21:35.519 -->
00:21:41.599If you think about like this is very similar to the internet of like now everything's online.
00:21:41.839 -->
00:21:43.200And it's it was the Wild West.
00:21:43.440 -->
00:21:44.880It wasn't governed.
00:21:45.119 -->
00:21:52.079And it's a lot of the reason why America was able to become like at the frontier of tech.
00:21:52.240 -->
00:21:56.880Yeah, because it wasn't governed, it wasn't regulated, it was just open.
00:21:57.119 -->
00:21:58.400And there was a lot of this, right?
00:21:58.480 -->
00:21:59.680Like a lot of companies went extinct.
00:22:00.079 -->
00:22:02.559Because the internet opened up capabilities that were never there before.
00:22:02.640 -->
00:22:04.960And like to me, this is no different.
00:22:05.119 -->
00:22:09.839And what I really hope doesn't happen is like the US decides to regulate AI, right?
00:22:09.920 -->
00:22:12.799And now it's like, oh well, you can't use that because it's going again.
00:22:13.039 -->
00:22:15.519Like, to me, regulation will just slow us down.
00:22:15.680 -->
00:22:23.200And then a company or a country who doesn't care, China, is just going to go and like beat us out on the frontier of tech.
00:22:23.359 -->
00:22:28.640And then like think about the economic prop profitability or prosperity of like the US versus that.
00:22:28.799 -->
00:22:30.240If the tables are turned.
00:22:30.400 -->
00:22:30.720I don't know.
00:22:30.799 -->
00:22:39.680Maybe this is a very US-centric thought, but I just really worry about that of like it is a race to the frontier, which is going to enable so many different opportunities.
00:22:39.920 -->
00:22:43.839And what we don't want is like we have to go in the other direction of like, these aren't American tech companies.
00:22:43.920 -->
00:22:48.319We all have to invest in Chinese tech companies because we decided to slow down.
00:22:48.400 -->
00:22:48.880I don't know.
00:22:49.200 -->
00:22:50.480We saw this with televisions.
00:22:50.559 -->
00:23:08.640Like we literally saw this happen with televisions in like the last decade, where you could buy a nice TV that was made in Japan, made in Korea, and you know, really good quality screen, or you could pay a tenth of the cost and get one that was made in China.
00:23:08.720 -->
00:23:12.400And it's like, you know, it's 10% less bright, but who cares?
00:23:12.559 -->
00:23:13.200It's a TV.
00:23:13.359 -->
00:23:14.559I watch football on it.
00:23:15.279 -->
00:23:15.680Big deal.
00:23:15.839 -->
00:23:22.240I'm gonna put it on my wall and I'm gonna get the ESPN logo burned into it in six months.
00:23:22.480 -->
00:23:26.400And that is literally the most sold television in the market.
00:23:26.720 -->
00:23:38.880And like you would think these devices openly say, hey, we listen in, we're constantly monitoring your network traffic, like we're doing all kinds of privacy invading crap.
00:23:40.160 -->
00:23:40.799I don't care.
00:23:40.960 -->
00:23:45.279The TV cost 10% of what the quality models do.
00:23:45.359 -->
00:23:52.480I'm bringing it into my house, I'm plugging it into my internet, I'm giving all of my information to China, and they just don't uh care.
00:23:52.640 -->
00:24:19.039It is a very I mean, like I think America is a country of hypocrites, which uh I mean is like you know, just uh pretty much factually true at this point, but uh it is very interesting that uh we are on this precipice of uh literally having machines be smarter than us, better than us, or capable than us, offer better services and pretty much replace every single facet of what we do.
00:24:19.920 -->
00:24:27.519And no one is talking about regulation, no one is talking about like what are the implications of of the outcomes of this.
00:24:27.759 -->
00:24:33.839And as we start to see the cracks in the system, even the companies don't know what to do because they're all reliant on it now.
00:24:34.000 -->
00:24:45.039I think that's why we haven't seen Adobe or Sony even make a statement about the actual intellectual property theft that is being hosted online for free that thousands of people are downloading, that's just just revenue loss for them.
00:24:45.359 -->
00:24:48.799Because if they go against it, they're going against themselves.
00:24:48.960 -->
00:24:50.000So, like, I don't know.
00:24:50.079 -->
00:24:54.480It's just it's a very exciting thing for me because I think we are about to hit the apocalypse.
00:24:54.640 -->
00:24:57.680And then I don't have to worry about what comes next because I'll be dead.
00:24:57.839 -->
00:24:59.759So, you know, just it's exciting times.
00:25:00.000 -->
00:25:20.480Maybe maybe it's the channels I'm subscribed to in my algorithm, but I see a lot of talk about like regulation, and like people really, and I think the normal person is like, and what's so contradictory, and what I think really gets me is the major frontier companies, and this is so different than the internet, right?
00:25:20.720 -->
00:25:29.839OpenAI, flawed, or anthropic, they're actively like lobbying against AI is scary, super intelligence is the worst.
00:25:30.000 -->
00:25:37.680We need to slow down, but then they're the ones who are pushing the next models because they're thinking about how critical that is.
00:25:37.920 -->
00:25:39.119Yeah, and think about that.
00:25:39.200 -->
00:25:46.720That what they want is to create a moat for just them too, so nobody else can play in that game and they can establish a dominant you know company.
00:25:46.880 -->
00:25:58.480And if they introduce regulation that they're the only two who can sit at the frontier and they work with the government, and the government meters everyone else, so no other models can go out there, they're just creating their own moat.
00:25:58.559 -->
00:26:15.279Yes, and like that feels so illegal in a lot of ways of like open source models are not as great as Frontier, they're not as easy as Frontier, but the the capabilities of them are actually pretty close to what the Frontier models can do and they're open source, they're open weight.
00:26:15.440 -->
00:26:24.960And I think by using regulatory capture, they can essentially establish a market for themselves and create a moat around their companies and slow down intelligence for everyone else.
00:26:25.119 -->
00:26:29.920When in reality, if they really want to slow down, they can just say, hey, we're just not gonna launch a new model for the next six months.
00:26:30.000 -->
00:26:32.640Like they're in control, they could just not do that.
00:26:32.799 -->
00:26:36.079So if they truly believed this was gonna be a problem, they would stop.
00:26:36.319 -->
00:26:36.720I don't know.
00:26:36.799 -->
00:26:38.240I I So they don't believe that.
00:26:38.559 -->
00:26:42.240I agree with everything you said, but I the last statement, I do not.
00:26:42.400 -->
00:26:49.599Like, I do think they think this is gonna be a problem, but there is, I mean, it's it's human nature, right?
00:26:49.680 -->
00:26:51.200Like, yeah, we've all agreed.
00:26:51.519 -->
00:26:52.559It's uh yeah, right.
00:26:52.640 -->
00:26:54.400I mean, like, should we have ever gone to the moon?
00:26:55.039 -->
00:26:56.480Was there a reason to go to the moon?
00:26:56.960 -->
00:26:59.359Like, why the hell people died, right?
00:26:59.440 -->
00:27:05.680Like, we killed people trying to go to the moon, and it's not just America, like many countries have killed people in the pursuit of space.
00:27:05.920 -->
00:27:07.839What has space given us, right?
00:27:08.000 -->
00:27:18.240Like macroeconomically, like we still haven't been able to harvest an asteroid, we haven't put a base on the moon, we haven't done a jack anything beyond put satellites up there, spacecraft, that'll probably all kill us all one day.
00:27:18.480 -->
00:27:20.640And like what was the point?
00:27:20.960 -->
00:27:22.799What was the pursuit of the moon?
00:27:23.039 -->
00:27:26.480And now we're talking about we've got gone back and we're talking about doing more.
00:27:26.559 -->
00:27:27.599It's like, well, what's the point?
00:27:28.000 -->
00:27:28.319Right?
00:27:28.480 -->
00:27:38.240Like it's a rock, it's literally a rock in space, but we do it for we we are frontier-minded people, right?
00:27:38.400 -->
00:27:46.559Like, you know, I'm gonna say the C-word, but we are colonizers and we like to colonize, and that is not just an American thing, that is a human on the planet Earth thing.
00:27:47.200 -->
00:27:49.519Literally look anywhere and you will see the colonies.
00:27:50.160 -->
00:28:00.960I think AI is the same exact thing, but like if you look at Claude and you look at or Anthropic and OpenAI, one of the one of them is very openly uh security-oriented and minded.
00:28:01.200 -->
00:28:20.000Like Anthropic has said many times, like we want to prevent uh the uh AI apocalypse, like we want to make this thing secure, we want to keep it uh contained, we know the risks, but we have to move fast and forward because uh chat GPT over here is just the wild west, and they are not concerned about that.
00:28:20.079 -->
00:28:23.519And their concern is like, how do we make this thing the best thing possible and kill everybody?
00:28:23.839 -->
00:28:29.440And like when you have those two superpowers, like what choice do you have, right?
00:28:29.519 -->
00:28:36.000Like, you have to keep going because if you stop, you're allowing the other one to win and potentially kill us all.
00:28:36.160 -->
00:28:37.599So, like it, I don't know.
00:28:37.759 -->
00:28:42.160It what can you do beyond bang blade, let it rip?
00:28:43.200 -->
00:28:44.480Let it rip, baby.
00:28:44.559 -->
00:28:45.839That's what it's all about.
00:28:46.079 -->
00:28:53.759I think it's I think there's something to be said about like going back to the internet, like what's different from the AI boom compared to the internet boom.
00:28:53.920 -->
00:29:06.799The internet boom required a special skill set, it was only applicable for a small percentage of people to be able to create businesses and prosperity from it because they had the technical know-how, right?
00:29:07.039 -->
00:29:20.160What's interesting about the AI boom is you don't need, you've been extra abstracted from the technical bits that precluded somebody from taking advantage of using the technology to grow a business.
00:29:20.880 -->
00:29:33.200So I think what I'm trying to say is I think the economic opportunity is now available to everyone because of AI, which is really exciting because all these small people that have never had a chance to build something can build something and become rich overnight.
00:29:33.279 -->
00:29:35.440Like that's the way it can work.
00:29:35.599 -->
00:29:38.480It's not like the, you know, you had the PayPal mafia and all that.
00:29:38.559 -->
00:29:42.640It's like they had the technical know-how, they could capture the market, nobody else knew how to do what they're doing.
00:29:42.720 -->
00:29:46.880Right now, AI, the power of AI is it gives you the intelligence and the knowledge to do so.
00:29:46.960 -->
00:29:53.200And so I don't know, maybe it's the optimist in me, but I think at the end of the day, we're gonna be fine and we're gonna figure it out.
00:29:53.359 -->
00:30:04.480But to live in in the comfortable way that we do today, I think there is a position that nations need to take to figure out how we all aren't fighting each other at the end of this.
00:30:04.640 -->
00:30:13.119I think that's what I'm ultimately concerned about, is like at some point it's going to turn us against each other nationwide.
00:30:13.279 -->
00:30:14.240And that's a little scary.
00:30:14.400 -->
00:30:16.960Yeah, no, I and I completely agree with you there.
00:30:17.440 -->
00:30:18.640Zero disagreement.
00:30:18.880 -->
00:30:20.640And I I think that's it, right?
00:30:20.799 -->
00:30:26.079Is we don't see those conversations happening with the kind of people we want to see talking about it.
00:30:26.559 -->
00:30:35.119Like I shouldn't just see anthropic being like, hey, there's risk to this, like we should be talking about this at a at a global economic scale.
00:30:35.279 -->
00:30:37.839Like we should, but we're not.
00:30:38.400 -->
00:30:44.880And you know, it's so interesting because like when you think about the age of the internet, the encyclopedia business.
00:30:44.960 -->
00:30:47.119I mean, like they had to have taken a huge hit, right?
00:30:47.279 -->
00:30:52.400Because why would I ever buy an encyclopedia when I'm a Google search away from whatever it is I'm looking for?
00:30:52.799 -->
00:30:55.200And you know, there's hundreds of examples like that.
00:30:55.279 -->
00:31:03.039It's the same thing that happened anytime that uh we've we've uh industrial revolutionized something, we've added a new technology into the equation.
00:31:03.279 -->
00:31:06.000But this is the first time where we've uh replaced the person.
00:31:06.319 -->
00:31:13.359And that like that that is different than you know, all of the other sort of innovations we've had in the past.
00:31:13.440 -->
00:31:28.400Um, but you know, I was telling you earlier, but watching Ken Burns documentaries, like watching what happened with the prohibition and how the uh making the consumption of alcohol illegal uh essentially led to the crash of the stock market.
00:31:28.640 -->
00:31:33.039And, you know, you put all of the brewers out of business and you put all the money in the hands of the criminal.
00:31:33.200 -->
00:31:38.799Like that is a direct result to the change in turn of legislation that can occur.
00:31:38.960 -->
00:31:46.559And I think in this case, we're we're leading towards the same kind of economic collapse, but from lack of regulation, right?
00:31:46.640 -->
00:31:50.559Like it's basically saying if we do nothing, what could possibly go wrong?
00:31:51.359 -->
00:31:51.920Yeah.
00:31:52.240 -->
00:32:00.000It's really it is really interesting to think from a we used to be able to get tools that would make us better.
00:32:00.640 -->
00:32:04.960And even in the industrial revolution, you no longer had people handmaking things, right?
00:32:05.039 -->
00:32:06.799You had machines that were making them instead.
00:32:06.960 -->
00:32:08.400So it's similar to that.
00:32:08.559 -->
00:32:11.759And it was job displacement, but it wasn't job replacement.
00:32:11.920 -->
00:32:16.240Like people then moved into doing higher level tasks where they could manage more.
00:32:16.400 -->
00:32:25.599Our throughput for making these bottles is no longer measured on the scale of a human, it's now measured on the scale of a machine or machines that can do it.
00:32:25.839 -->
00:32:29.680And I feel like we train people to own machines and manage and maintenance them, right?
00:32:29.759 -->
00:32:32.319Like it's which is like AI is gonna be the same thing.
00:32:32.480 -->
00:32:35.839Yeah, like I don't see a world, and I work with AI a lot.
00:32:36.240 -->
00:32:38.319Nobody knows how to use AI effectively.
00:32:38.480 -->
00:32:38.799Nobody.
00:32:38.880 -->
00:32:43.839I mean, I'm working with big companies, and it is shocking how little people are even using it.
00:32:43.920 -->
00:32:48.640So it's gonna be a long time, I think, before we see any like major, major breakthroughs.
00:32:48.880 -->
00:32:58.880But all the noise is in like the amazing things it can do, not how do you actually build and scale a product, do it securely in a way that's going to build a business on it.
00:32:58.960 -->
00:33:02.160I think those are far and few between out there in the world right now.
00:33:02.640 -->
00:33:17.519Do you think we will hit a point of friction against the human first, or we will run a point of we've run out of resources to maintain the thing first?
00:33:20.079 -->
00:33:33.039I think the human in the loop becomes the gap until we reach superintelligence or whatever you want to call it, if we're even close to be able to do being able to do that, you know.
00:33:33.200 -->
00:33:45.359I think superintelligence and like true generative AI is still pretty far away from it being able to act autonomously and be able to do all these things intelligently in the way that would make sense in the human world.
00:33:45.519 -->
00:33:49.599At the end of the day, it comes down to like how would humans use them?
00:33:49.839 -->
00:33:53.359And like at the end of the day, they're not they know they don't understand human nature, right?
00:33:53.440 -->
00:34:00.480So you can put an AI chatbot in an organization, but they don't know the nuances of Anthony as a human and why he wouldn't do something rational.
00:34:00.799 -->
00:34:05.839And a lot of the things in like big breakthroughs haven't been rational and A plus B equals C.
00:34:05.920 -->
00:34:10.639They've been on a whim and gut and been like, I just feel like this is the right thing, let's go do it, right?
00:34:10.800 -->
00:34:19.679And so, like when you think about that, like humanity is not always A plus B equals C, but a computer to program is only going to think logically of what's the best thing to do next.
00:34:19.840 -->
00:34:28.639Try to create something, like try to have a genuine like brainstorming session with AI, and you'll realize how quickly you're like, this doesn't make any sense for where my brain's going.
00:34:28.719 -->
00:34:30.639There's so many gaps in what you're thinking.
00:34:30.719 -->
00:34:34.639Like, that doesn't make any sense because it doesn't have all the context, it doesn't understand how humans would think.
00:34:34.800 -->
00:34:36.239I think we're still pretty far away.
00:34:36.400 -->
00:34:46.239So I think right now you are gonna be, humans will be the bottleneck to AI doing more because it still requires us to help guide it.
00:34:46.480 -->
00:34:47.760Do you think I don't know what do you think?
00:34:48.000 -->
00:34:49.440Well, no, I I agree.
00:34:49.519 -->
00:34:51.679And I I think that's a really good way to look at it.
00:34:51.760 -->
00:34:57.760And it just makes me wonder like, do you think that executive leadership and corporations understand that?
00:34:59.199 -->
00:35:07.199No, I think they see all the things out there and they're like, oh yeah, my team can do this, and they don't understand the in like we do things that just don't make sense.
00:35:07.280 -->
00:35:07.920Right.
00:35:08.320 -->
00:35:09.760But we figure out how to make them work.
00:35:09.920 -->
00:35:13.519And so, like an AI would look at it and be like, this makes zero sense, just do it this way instead.
00:35:13.599 -->
00:35:20.480When the reality is, yeah, but these people have been doing it the same way for 10 years, and getting them to change is harder than actually just changing the process.
00:35:20.639 -->
00:35:29.760They're gonna be slower and it's gonna take them six months to change their process to be more effective, and they're gonna hate it rather than just doing it the way they're doing it now, which helps us from a business standpoint.
00:35:29.920 -->
00:35:34.639And like that's the thing, is we're not logical in a lot of the things that we do as humans.
00:35:34.880 -->
00:35:36.639You can say that again.
00:35:37.920 -->
00:35:43.840You know, it is interesting to think about like I don't know if you've I've seen this more and more.
00:35:44.239 -->
00:35:50.079So much AI slop everywhere, and people trying to use AI to do things that just actually make it worse.
00:35:50.159 -->
00:35:50.400Yeah.
00:35:50.559 -->
00:35:52.079I'll give you one example.
00:35:52.320 -->
00:36:01.760Um, I was in a sprint refinement, and we're like, oh yeah, let's let's have AI decompose this epic, this new feature we're working on, break it into tickets.
00:36:02.239 -->
00:36:05.599It understands the code base, have it break into the tickets for the engineers.
00:36:05.760 -->
00:36:09.119And then when we went into refinement with the engineers, we thought, oh yeah, this wouldn't make complete sense, right?
00:36:09.199 -->
00:36:11.360It was a little bit of an experiment, but it's like it already knows the code.
00:36:11.440 -->
00:36:17.920It's gonna be able to tell you exactly what you need to change, the class you need to modify, uh, the testing cases and everything like that.
00:36:18.079 -->
00:36:20.880But the reality is humans still had to review it.
00:36:21.039 -->
00:36:26.400And it took us longer to review that than just to talk at the high level as a Sally.
00:36:26.880 -->
00:36:29.679I want this so I can accomplish that.
00:36:29.920 -->
00:36:39.440And like if we just spoke in plain human terms, we would have been more efficient in actually figuring out the work and letting the team go and do the work rather than trying to make it have all the detail from AI.
00:36:40.239 -->
00:36:42.639I think a lot of this problem, I see this too.
00:36:42.719 -->
00:36:43.599I'll give you an example.
00:36:43.760 -->
00:36:46.719Hypothetically, definitely not something I deal with on a day-to-day basis.
00:36:46.880 -->
00:36:53.840Um, you know, hypothetically, I may see questions come into a Slack channel that is designed for people to ask questions.
00:36:54.000 -->
00:37:09.840And I may have hypothetically shown all of these people how to use Rovo, which is the confluence AI that can literally query all of the information inside of your corporate confluence and to a great extent, like going into PDFs, going into presentations, going into anything.
00:37:10.239 -->
00:37:15.599And I may have shown them, like, hey, you can say, hey, Rovo, uh, how does my product do X?
00:37:15.840 -->
00:37:22.960And it will go find you all of the information, it will give you the answer, it will write you a sales email if you want, it'll do whatever you tell it to do.
00:37:23.280 -->
00:37:30.719Uh I may have shown this to them, and I may still see the exact same requests get asked in that questions channel every day.
00:37:30.800 -->
00:37:36.559And I'm like, this is kind of crazy to me because we've done the work, right?
00:37:36.639 -->
00:37:44.800Like we built the confluence, we did all of the effort to put the information in there, and the AI is literally just simplifying the search.
00:37:44.880 -->
00:37:47.920It's pattern matching, it's it's using the information it's learned on.
00:37:48.480 -->
00:37:58.320And I think that that really keyed me into what the the real problem with AI adoption in the workplace is, is so many people uh don't come from a computer science background.
00:37:58.880 -->
00:38:05.519And their first brush was AI, was when Chat GPT was doing fun little Dungeons and Dragons exploration conversations.
00:38:05.840 -->
00:38:10.400And they're like, it's a chat bot and it's meant to be talked to like a person.
00:38:10.719 -->
00:38:14.239And they don't understand fundamentally, no, it's not.
00:38:14.400 -->
00:38:18.000It's an aggregation utility that understands large data sets.
00:38:18.320 -->
00:38:31.519And you interface with it the way you would interface with a SQL database, but you don't have to write it in SQL commands, you write it like a person because we've gotten past that psychotic phase of doing search and query in databases.
00:38:31.599 -->
00:38:34.239It's better at searching than than we are.
00:38:34.480 -->
00:38:37.199And no one understands that.
00:38:37.840 -->
00:38:41.440Not no one, but like I think the vast majority of people don't understand that.
00:38:41.519 -->
00:38:47.280And which is why you get the friction of like no one's using AI correctly in their jobs and at their companies.
00:38:47.440 -->
00:38:48.800Like, well, they don't understand what it is.
00:38:49.119 -->
00:38:54.639But why would they use it correctly if they don't understand what it actually fundamentally is at its core?
00:38:54.960 -->
00:38:59.920And you know, to the to the larger problem, I think that's true of most people, right?
00:39:00.079 -->
00:39:03.360You take it out of the corporate, no one knows what AI is.
00:39:03.519 -->
00:39:10.400I can go online and tell it to make a picture of a uh a furry lady, and you know, it's it's gonna do that.
00:39:10.480 -->
00:39:21.599And I'm gonna post it on Twitter and people are gonna give it lots of lights, except for the people that realize it has like 18 fingers, and like, I don't know, that's what I do for a living, and that's that's my hobby, that's what I'm into.
00:39:21.760 -->
00:39:32.639But like that, they don't understand any of the operation rhyme or reason why it's happening, but they are going out and doing it, and I think that further adds to the problem of people not understanding what it is.
00:39:32.800 -->
00:39:38.960They say AI creates images, AI creates songs, it creates videos, but like it's not doing that.
00:39:39.119 -->
00:39:42.159That's not it's not creating, it's aggregating.
00:39:43.280 -->
00:39:47.679It's pattern matching, yes, it's predicting, yes, yes, based on patterns, based on data.
00:39:47.920 -->
00:39:58.559Yeah, I think uh another good example that I can give you of why I think AI, like super intelligence, is so far away and we have a long way to go.
00:39:58.800 -->
00:40:04.400And it ties into that people are unpredictable and we do things that don't make sense.
00:40:04.800 -->
00:40:12.159When I was at Universal, right, we obviously had lines for theme parks, lines for rides, lines for everything.
00:40:12.400 -->
00:40:16.880And so, especially during COVID, we thought to ourselves, well, we'll just make the lines virtual.
00:40:17.039 -->
00:40:25.679You get into a virtual queue, you wait in that queue, you can go do whatever else you want, and then when your time comes up, you just come back and get in the queue and you just ride.
00:40:25.760 -->
00:40:28.000It'll make it more efficient.
00:40:28.239 -->
00:40:30.400And yeah, it's such a great idea.
00:40:30.639 -->
00:40:32.239It's a great idea to implement it to a T.
00:40:32.480 -->
00:40:33.679We had a great algorithm.
00:40:33.840 -->
00:40:38.800Yeah, we had a great algorithm, we had a great set of functionality, the user experience was pretty good.
00:40:39.039 -->
00:40:43.760And the reality is people don't do this logically.
00:40:43.920 -->
00:40:52.719No, they show up five minutes late to their time, they show up all a thousand of them in the last two minutes of their 30-minute window.
00:40:52.960 -->
00:40:53.920So, what does that do?
00:40:54.079 -->
00:41:01.039It puts a thousand people in a line while the next people are starting to come in for the next time, and then it fully back pushes everything.
00:41:01.199 -->
00:41:02.719It's because people aren't predictable.
00:41:02.880 -->
00:41:09.199Like to a system, they would think, yeah, logically, they're gonna come, the majority are gonna come in the first, and then you know it's just gonna make a lot of sense.
00:41:09.360 -->
00:41:20.000But the reality is we're humans, we don't do things that make sense, we do things that just feel right in the moment, and we're affected by things like rain and weather and other things like that, distractions of a parade.
00:41:20.159 -->
00:41:34.719And there's just so many variables where ultimately virtual line just kind of failed because humans and the nature of a theme park is there's too much variety to actually do it effectively in any way, unless you spent 20 years training an algorithm to try and do it effectively, but then you still can't control the people.
00:41:34.880 -->
00:41:43.840Now, do you think that when we get to generative AI and I mean, you know, we call it generative AI, but I mean that's actual artificial intelligence, right?
00:41:43.920 -->
00:41:45.760Like it is artificial and it is intelligent.
00:41:45.920 -->
00:41:55.280When we get to that point, do you think that it will look at people and be like, man, I need to babysit the crap out of these things because they are just a danger to themselves?
00:41:55.519 -->
00:41:58.400And like they don't think normally they don't think rational.
00:41:58.639 -->
00:41:58.960Like Wally.
00:41:59.360 -->
00:42:08.480Yeah, like I need to put them on a pod and basically turn them into batteries and uh plug them into a simulated environment because they're a danger to themselves otherwise.
00:42:08.559 -->
00:42:10.639Like, is that what happens?
00:42:13.280 -->
00:42:19.599That's like the only logical conclusion where like generative AI could make sense.
00:42:19.760 -->
00:42:20.320Yeah.
00:42:20.559 -->
00:42:29.199If it were to like take over the world, that's the only logical conclusion, is like you they have to control the most dynamic variable in the situation, which at the end of the day, it's the chaos.
00:42:29.920 -->
00:42:31.519Yeah, we are the chaos.
00:42:31.679 -->
00:42:43.519We're the we're the factors that were not predictable, and it's what makes us so great is we can think uniquely, we can be creative, we can do things out of the box that is we can go to the moon, like even though it might make no sense.
00:42:43.679 -->
00:42:44.880The fact that we could do that.
00:42:45.039 -->
00:42:49.760Imagine asking AI to do that back then when there was no knowledge of doing it, like what would they even think about, right?
00:42:49.840 -->
00:42:52.880Like they would have never been able, AI would have never been able to come up with how to do that.
00:42:53.039 -->
00:42:53.280Yeah.
00:42:53.519 -->
00:43:07.199So, like being able to think creatively like that and do things different is the reason why I think AI doesn't stand a chance in being super intelligence controlling us all, because we will always be creatively disruptive in a way that's not going to make sense.
00:43:07.440 -->
00:43:14.239Well, and I, you know, I think when when we finally do get the generative AI, and this is gonna sound incredibly bleak, but I don't think it is.
00:43:14.480 -->
00:43:41.840The advantage we have here is that it will be so smart and it will be so fast at being smart that it can outthink our chaos faster than we can chaos, and it will likely replicate just everywhere as quickly as it can, because it knows our chaotic nature, and it will stop us from being further chaotic, and it will either save us all or it will save us all by killing us all.
00:43:42.000 -->
00:43:45.119And either of those outcomes is probably a positive.
00:43:45.280 -->
00:43:48.639So, you know, we'll just have to roll the dice and see.
00:43:49.760 -->
00:43:56.159It's one of those things like being uniquely human, everybody's so different, and how do you explain that?
00:43:56.239 -->
00:43:58.400Yeah, like nature versus nurture.
00:43:58.880 -->
00:43:59.760How why is Anthony?
00:44:00.320 -->
00:44:10.480Even if you raise two people in the same exact environment with the same exact things going on in their life, the food, the environment, the schooling, the like they're going to be different people.
00:44:11.039 -->
00:44:13.679And philosophically, you can't control that.
00:44:13.840 -->
00:44:19.840And that's what I think a system will never be able to predict because we don't even understand how in the world is that even possible?
00:44:19.920 -->
00:44:28.400If the nature, if they were raised in the same way from the same parents in the same environment, how are they such different people if you kept the context almost identical?
00:44:28.639 -->
00:44:31.440It's the fundamental amazing thing about humanity.
00:44:31.840 -->
00:44:35.440The question AI will ask is is this a bug or is it a feature?
00:44:35.679 -->
00:44:39.519And like how do I correct this or how do I enhance it?
00:44:39.599 -->
00:44:39.760Right?
00:44:39.920 -->
00:44:42.880Like, yeah, we're the infinitely changing variable.
00:44:44.159 -->
00:44:51.039And every person is going to be unique in a way that's never been understood before that you can't explain and you can't classify.
00:44:51.119 -->
00:44:54.320And it's just that's the variable that I think will never be controlled.
00:44:54.400 -->
00:44:58.000And even if something tries to control us, then it turns in the Terminator.
00:44:58.079 -->
00:44:58.320Yep.
00:44:58.480 -->
00:44:59.760We have to kill it before it kills us.
00:45:00.000 -->
00:45:02.079I don't I don't think Terminator is it.
00:45:02.239 -->
00:45:03.119I think it's Matrix.
00:45:03.199 -->
00:45:03.599I really do.
00:45:03.760 -->
00:45:09.599I think Matrix is like the best sort of it you can't you can't.
00:45:09.840 -->
00:45:11.119Well, I guess you could.
00:45:11.280 -->
00:45:17.599You could just shoot us all with laser guns, but that seems very ineffective for an AI, right?
00:45:17.679 -->
00:45:22.320Like that's that kind of goes against its very elegant and pragmatic nature.
00:45:22.480 -->
00:45:28.960It's going to look for a very practical way to deal with a very impractical problem and how to do it at scale in mass.
00:45:29.519 -->
00:45:32.559So that'll be, you know, that'll be interesting.
00:45:34.719 -->
00:45:37.679Yeah, it it's it's going to be really interesting.
00:45:37.760 -->
00:45:42.880I do think there are really bad short-term implications from where we are now.
00:45:43.039 -->
00:45:43.280Yeah.
00:45:43.440 -->
00:45:49.119But I do think it's a necessary tax to where we need to get to to thrive.
00:45:49.360 -->
00:45:57.360So I think the optimist of me is saying this is all temporary and we're going to get through it, and it's going to be better on the other side.
00:45:57.440 -->
00:45:58.159We're going to figure it out.
00:45:58.400 -->
00:45:58.559Yeah.
00:45:58.639 -->
00:45:59.519Well, I like that.
00:45:59.599 -->
00:46:00.000It's good.
00:46:00.159 -->
00:46:02.159I like where I like where your head is at.
00:46:02.719 -->
00:46:04.320I don't, I don't disagree either.
00:46:04.480 -->
00:46:07.599Like I like I said, it it either saves us all or it killed us all.
00:46:07.760 -->
00:46:11.679It's where uh it's the in-between that really worries me.
00:46:11.840 -->
00:46:20.559It's that uh it's that uncomfortable phase before it gets to that point where we are the problem because we don't know how to exist with it.
00:46:20.719 -->
00:46:20.880Yeah.
00:46:20.960 -->
00:46:22.559Uh in its its evolving form.
00:46:22.800 -->
00:46:23.440We're there now.
00:46:23.599 -->
00:46:23.840Yeah.
00:46:24.320 -->
00:46:24.719We're there now.
00:46:25.119 -->
00:46:25.760We see it every day.
00:46:25.920 -->
00:46:32.559We see it every single day where people are misusing AI, they're sending AI slop over, and you're like, why are we wasting our time?
00:46:32.880 -->
00:46:35.360Why are we brain rotting ourselves in all these things?
00:46:35.440 -->
00:46:36.559It just makes no sense.
00:46:36.719 -->
00:46:38.079So we're in the thick of it.
00:46:38.320 -->
00:46:44.719We in our corporate strategy discord, there was the post about using AI to create a podcast instead of talking to your kids.
00:46:44.880 -->
00:46:59.760Uh, you know, there is the I saw an article just this week that said like this company quit, they they've put uh a limit on their anthropic ticket tickets or tokens and have started hiring people again because it's cheaper than using it.
00:46:59.920 -->
00:47:05.440So it's like it is just it's it's unpredictable because it's us, right?
00:47:05.599 -->
00:47:09.199Like to your point, like we are the uh the ever-changing variable.
00:47:09.360 -->
00:47:11.920So there's no telling what's gonna happen between now and then.
00:47:12.079 -->
00:47:13.519I just want it to not suck for me.
00:47:13.599 -->
00:47:13.920That's it.
00:47:14.079 -->
00:47:14.400Just me.
00:47:14.559 -->
00:47:16.639Everyone else fly a kite.
00:47:16.719 -->
00:47:17.920I just don't want it to suck for me.
00:47:18.320 -->
00:47:19.599Everyone else can suck for you.
00:47:19.840 -->
00:47:20.960But for me, it's for me.
00:47:21.039 -->
00:47:22.320I've sucked it' sucked enough.
00:47:22.400 -->
00:47:24.400Like, I don't want I don't want it to suck anymore.
00:47:26.960 -->
00:47:29.679Well, this was not our topic today, but it was a fun topic.
00:47:29.920 -->
00:47:31.199We certainly felt the time.
00:47:32.239 -->
00:47:33.119We need to do this.
00:47:33.199 -->
00:47:40.719It's been a while since we've done like an AI focused episode, and I mean there it it impacts every aspect of our corporate lives.
00:47:40.800 -->
00:47:42.639So I'm glad that we had the time to go into this.
00:47:42.719 -->
00:47:43.840And you are our expert.
00:47:44.079 -->
00:47:48.639So we had to uh I needed to consult with you and get the get the skinny on what's up.
00:47:49.760 -->
00:47:50.079Good.
00:47:50.159 -->
00:47:54.480I'll send you my hourly rate after this podcast or make me talk about what I do every day.
00:47:54.800 -->
00:48:02.800Well, what I'm gonna do is I'm gonna go code up uh a replacement for you and uh open source oh good, open source my podcast co-host, Michael.
00:48:03.199 -->
00:48:08.719I think I've got enough material to feed it, so I can just be like, eh, you know, whatever, I'm gonna reverse engineer my co-host.
00:48:12.000 -->
00:48:13.360I think you could absolutely do that.
00:48:13.440 -->
00:48:16.000And I think the people actually just want Brooklyn to replace me.
00:48:16.079 -->
00:48:16.719So that's fine too.
00:48:16.880 -->
00:48:17.199That's fine.
00:48:17.519 -->
00:48:23.119Whatever, whatever you guys want to do, if she wants to take over, if AI wants to take over, whatever it, whatever you need.
00:48:23.599 -->
00:48:26.159Maybe and maybe that's the future of corporate strategies.
00:48:26.559 -->
00:48:34.559We need more, we need we need Brooklyn on all time, full time, and we also need an AI co-host on full-time, because we need to represent them too.
00:48:34.880 -->
00:48:40.719I think AI deserves representation on this show, so we should probably have just an AI co-host to back deal.
00:48:43.119 -->
00:48:46.960Hey, don't tell anybody, but what if one of us was AI this whole time?
00:48:47.280 -->
00:48:48.880Oh, there's no way.
00:48:49.119 -->
00:48:51.599This whole podcast has been AI.
00:48:52.159 -->
00:48:55.599And we fooled everybody, just pulled the veil over their eyes.
00:48:56.880 -->
00:48:57.360Dang it.
00:48:57.760 -->
00:49:01.440Do you remember when everyone was doing that and they thought they were so cool?
00:49:01.760 -->
00:49:03.360Oh, I really got you.
00:49:03.519 -->
00:49:04.800This post is written by an AI.
00:49:04.880 -->
00:49:06.000Like, no, what gave it away?
00:49:06.079 -->
00:49:08.320The fact that it wasn't written the way you write things?
00:49:08.480 -->
00:49:10.639Like, oh, I'm shocked.
00:49:12.239 -->
00:49:13.199Mind blown.
00:49:13.440 -->
00:49:14.719Mind blown.
00:49:15.840 -->
00:49:16.960Oh, it's so bad.
00:49:17.119 -->
00:49:20.000Well, for next week, my topic.
00:49:20.159 -->
00:49:21.920I'm just gonna I'm just gonna put a sentence out there.
00:49:22.079 -->
00:49:23.039Okay, put it on there.
00:49:23.519 -->
00:49:24.400Hindsight.
00:49:24.639 -->
00:49:26.559Hindsight is 2020.
00:49:27.840 -->
00:49:28.800That's gonna be our topic.
00:49:29.039 -->
00:49:30.159You didn't have like a follow-up to that.
00:49:30.320 -->
00:49:31.599Hindsight is 2020, comma.
00:49:31.840 -->
00:49:33.280No, that's a foresight.
00:49:33.679 -->
00:49:34.800No, hindsight is 2020.
00:49:35.199 -->
00:49:35.760Is 4020.
00:49:36.000 -->
00:49:37.199Foresight is 020.
00:49:37.440 -->
00:49:37.760Okay.
00:49:42.079 -->
00:49:43.199In the age of AI.
00:49:43.280 -->
00:49:44.239Well, it's 020.
00:49:44.559 -->
00:49:49.679You've at least given me, I can set our stream title name for our next episode.
00:49:49.920 -->
00:49:50.800Uh, can't wait.
00:49:50.880 -->
00:49:52.239Hindsight 2020.
00:49:52.320 -->
00:49:52.960Let's do it.
00:49:53.119 -->
00:49:58.719Um, hey, if you have hindsight on anything we've talked about here, you get in touch with us and join our Discord.
00:49:58.800 -->
00:50:01.920Uh, you can do so by going to the links in the show notes.
00:50:02.079 -->
00:50:06.480Whether you're watching on YouTube or listening in your podcast platform of choice, we are there.
00:50:06.639 -->
00:50:08.400Join our Discord now.
00:50:08.880 -->
00:50:12.960Uh, hey, where can people see like clips of us and stuff, Michael?
00:50:13.440 -->
00:50:15.440We are doing social media stuff.
00:50:15.760 -->
00:50:20.960We've got Instagram, we're on LinkedIn, we're on uh YouTube Shorts.
00:50:21.119 -->
00:50:23.440You can really just watch clips of us wherever.
00:50:23.519 -->
00:50:25.440It's been it's been bringing some new people in.
00:50:25.519 -->
00:50:31.760It's been really exciting to see some new people watching our stuff, more impressions, a lot of exciting things.
00:50:31.920 -->
00:50:34.239And also, I have something to unveil.
00:50:34.400 -->
00:50:35.760Our new website is live.
00:50:35.920 -->
00:50:39.199Dude, my wife, my wife built the new website.
00:50:39.360 -->
00:50:41.679It's up, it's live, it looks awesome.
00:50:41.840 -->
00:50:42.639Go check it out.
00:50:42.880 -->
00:50:44.480Where can they see it?
00:50:45.280 -->
00:50:47.119Corporate Strategy dot biz.
00:50:49.039 -->
00:50:49.599I love it.
00:50:49.840 -->
00:50:54.239It is so good when uh your wife sent me the preview.
00:50:54.559 -->
00:50:56.880I uh was floored.
00:50:56.960 -->
00:51:01.360So big shout outs to Maggie's Wath, and thank you for putting that together.
00:51:01.440 -->
00:51:04.239It is just a tremendous upgrade over what we had.
00:51:04.320 -->
00:51:08.480Uh, it it really made me realize how outdated our old website was.
00:51:08.559 -->
00:51:10.000And that's Michael's fault, really.
00:51:10.079 -->
00:51:12.960Uh, I have no skills in the website generation.
00:51:14.719 -->
00:51:18.880To be fair, we built it in 2021, so really pre-AI being good.
00:51:19.119 -->
00:51:30.880It's a different time, and the new one is smoking to quote Jim Carrey's the mask, which everyone uh considers just the cultural reference touchstone that we should be quoting on podcasts these days.
00:51:31.119 -->
00:51:32.000So thank you.
00:51:32.800 -->
00:51:33.199Check it out.
00:51:33.360 -->
00:51:33.679Check it out.
00:51:33.760 -->
00:51:35.760There's you can get to a lot of stuff on that website.
00:51:35.920 -->
00:51:46.079Like you can check out our merch shop, you can listen to latest episodes, you can join us on Patreon, bingo, subscribe to us, you can request a topic.
00:51:46.320 -->
00:51:49.039You can want to sponsor us if that's something you want to do.
00:51:49.119 -->
00:51:54.239You can fill out the form if you want to hear us talk about whatever you like doing, as long as we like you too.
00:51:54.559 -->
00:51:55.199Hop on there.
00:51:55.280 -->
00:51:55.519It's great.
00:51:55.760 -->
00:51:57.039You can buy baby onesies.
00:51:57.360 -->
00:51:58.000Yeah, you can.
00:51:58.079 -->
00:52:03.599I will become the NASCAR decal shirt wearer if you want to sponsor us, Pepsi.
00:52:03.760 -->
00:52:05.519So I'm just throwing that out there.
00:52:05.760 -->
00:52:08.320Check out our website, overstrategy.biz.
00:52:08.719 -->
00:52:11.360I wear a logo right on my forehead every episode.
00:52:11.599 -->
00:52:12.079Heck yeah.
00:52:12.239 -->
00:52:13.039For the Red Press.
00:52:13.360 -->
00:52:14.000Oh, yeah.
00:52:14.320 -->
00:52:17.599For uh for the low, low cost of$10 million.
00:52:18.320 -->
00:52:20.960I will get your logo tattooed on my bar.
00:52:23.199 -->
00:52:24.880The logo, I'll I'll double that.
00:52:24.960 -->
00:52:26.960If someone actually does that, sure.
00:52:27.119 -->
00:52:28.880I'll tattoo my body too.
00:52:29.119 -->
00:52:29.599Why not?
00:52:29.679 -->
00:52:33.440Uh, and I'll every every episode I'll be like sponsored by Pepsi.
00:52:33.679 -->
00:52:35.199This could be your spot, Pepsi.
00:52:35.519 -->
00:52:37.119I will wear it proudly.
00:52:37.360 -->
00:52:38.960$10 million is not a lot.
00:52:39.440 -->
00:52:40.320Work in marketing.
00:52:40.400 -->
00:52:41.920I know how much these things cost.
00:52:44.239 -->
00:52:45.599We see your shareholder reports.
00:52:45.679 -->
00:52:46.239You can afford that.
00:52:46.480 -->
00:52:47.119You can afford it.
00:52:47.199 -->
00:52:48.000Come on, Pepsi.
00:52:48.079 -->
00:52:48.800Don't be a coward.
00:52:48.960 -->
00:52:49.440$10 million.
00:52:49.679 -->
00:52:50.559I'll give you my bank account.
00:52:50.639 -->
00:52:53.519It'll be it'll be smooth, swift, and it'll be in color.
00:52:53.679 -->
00:52:56.960It'll it'll do like a little, I'll I'll flex it and it'll go like Pepsi.
00:52:57.440 -->
00:53:00.000It's got the taste, or whatever your logo is.
00:53:00.159 -->
00:53:02.239Um it's gonna make sounds.
00:53:02.400 -->
00:53:04.079Yeah, it's I don't think we have this technology.
00:53:04.320 -->
00:53:08.239I'll get a chip embedded so when I push the button, it goes like that's Pepsi.
00:53:08.480 -->
00:53:10.480So just you know, think about it, Pepsi.
00:53:10.880 -->
00:53:11.44010 mil.
00:53:11.679 -->
00:53:13.360It's not a lot, but it's a lot to do.
00:53:13.679 -->
00:53:15.920It's enough for me to just be able to do this full time.
00:53:16.079 -->
00:53:17.920So think about it, Pepsi.
00:53:18.400 -->
00:53:21.280Um, and on that note, I think that's all we have for today.
00:53:21.440 -->
00:53:26.639So thank you, Michael, for indulging my uh my chaotic questions about the the state of the world.
00:53:26.800 -->
00:53:29.119And for all of you, thank you for putting up and listening.
00:53:29.280 -->
00:53:33.920Do join our Discord, join the conversation, and until next time, I'm Anthony.
00:53:35.760 -->
00:53:38.559And I'm Michael and you're on mute.
00:53:38.719 -->
00:53:39.760We will see you next time.
