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Speaker 1: Lute force. If it doesn't work, you're just not using enough.

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Speaker 1: You're listening to software radio, special Operations, Military nails and

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Speaker 1: straight talk with the guys in the community.

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Speaker 2: Hey, what's going on? Welcome back to soft Rep Radio.

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Speaker 2: I am your host, Brad and today I have Curvin

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Speaker 2: a Coin today and he is someone who has worked

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Speaker 2: in the military for fifteen years. He has transitioned into

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Speaker 2: doing what he loves and that's running a podcast called

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Speaker 2: This Week Explained. And it's found everywhere that podcasts are at,

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Speaker 2: including like soft Rep Radio. So if you go check

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Speaker 2: out This Week Explain Now. It's a geopolitical podcast. He

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Speaker 2: touches on a wide range of everything going on in

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Speaker 2: the world as well as you know I do as well,

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Speaker 2: which is why he wrote in and said, Hey, rad

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Speaker 2: I'd love to be on your esteemed show. And that

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Speaker 2: word esteemed. I stared at it. I was like, oh,

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Speaker 2: that's a nice word, you know. So I just want

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Speaker 3: that's exactly how I feel. So to say that soft

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Speaker 2: And then also we have a book club and that

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Speaker 2: soft rep dot com forward slash book hyphen Club. I

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Speaker 2: just got to get that out there right now. I

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Speaker 2: want you to go check out the books that we

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Speaker 2: have coming through there and please use it like a

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Speaker 2: library and tell them ratsent you. First of all, so

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Speaker 2: to talk just straight up about Russia invading Ukraine, Okay,

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Speaker 2: which is a very aggressive act that was around February

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Speaker 2: twenty second of twenty twenty two, is what we are

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Speaker 2: knowing that as these days. But it really went back

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Speaker 2: all the way to twenty twelve, twenty fourteen, when Obama

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Speaker 2: was in office President Obama respectively, and they started to

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Speaker 2: attack CRIMEA and go after you know, civilian airliners and

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Speaker 2: admitting Russia admitting that stay out of the airspace. Right,

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Speaker 2: let's talk about that. Let's go there.

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Speaker 3: Yeah, let's let's do it. Yeah, I think it does

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Speaker 3: get lost. We're now a year over a year and

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Speaker 3: a half now from this recent invasion, like you said

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Speaker 3: in twenty twenty two, something that I know I was

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Speaker 3: following on the podcast this week explained as we started

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Speaker 3: early off in twenty twenty one, like the October time

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Speaker 3: frame of twenty twenty one, kind of seeing well, first

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Speaker 3: listening to what putin the president of Russia was saying

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Speaker 3: about what he wants to do, and then verifying those

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Speaker 3: words that he's saying with what he had done previously.

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Speaker 3: So I'm glad you brought up twenty twelve twenty fourteen.

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Speaker 3: The war really started in twenty fourteen with Crimea. Russia

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Speaker 3: invaded Crimea under the same auspice that they did in

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Speaker 3: twenty twenty two. That Crimea is the people of Crimea

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Speaker 3: identify a Russian, they are Russian, and we are going

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Speaker 3: to take back that land as Russian land. Now what

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Speaker 3: was different about twenty twenty two? What I was trying

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Speaker 3: to look into as an intel analyst is is the

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Speaker 3: invasion of twenty two twenty two going to be different?

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Speaker 3: Is it only going to be those eastern parts? Or

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Speaker 3: is there greater aspirations from Putin? And before he did

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Speaker 3: the invasion, he started to talk not even about the

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Speaker 3: Ukrainian invasion, but even follow on points what he considered,

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Speaker 3: you know, parts of the of the Soviet Union, and

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Speaker 3: he wanted to return the Soviet Union back to its

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Speaker 3: glory during the Cold War times. And in order to

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Speaker 3: do that, that means Finland is in the cross hairs,

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Speaker 3: Sweden is in the crossers. Those are huge countries to

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Speaker 3: talk about, but you've also got Moldova and that has

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Speaker 3: already got Transnistria, which is this disputed area of Moldova,

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Speaker 3: that's that's Russian, and the Moldovans say that's ours. The

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Speaker 3: Russians say that that's theirs. So it's kind of like

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Speaker 3: that similar thing with Ukraine. So in identifying what he

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Speaker 3: was saying there, it became clear to me and clear

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Speaker 3: to the US government, I would say that or the

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Speaker 3: Department of Defense, that this is not just this brief

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Speaker 3: special military operation as Putin would call it. It was

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Speaker 3: going to be a full on invasion. And the hopes

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Speaker 3: the end goal of that invasion was to take Kiev,

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Speaker 3: install a pro Russian institution, a pro Russian government into Ukraine,

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Speaker 3: and then take that over to then follow on. And

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Speaker 3: so the goal was always it never ended with just Ukraine.

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Speaker 3: It was going to be a follow on from.

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Speaker 2: That, right, And then do you feel that the election

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Speaker 2: of twenty sixteen to twenty twenty disrupted that plan where

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Speaker 2: at twenty twenty he wasn't getting the same buy off

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Speaker 2: that was out there from President former President Trump, who

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Speaker 2: was agreeing with Putin and like you know, sitting there

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Speaker 2: basically just holding his hand along with a lot of

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Speaker 2: other leaders that were agreeing to do this invasion.

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Speaker 3: So that I mean, that's a very interesting question. And

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Speaker 3: it's something that former President Trump brings up a lot

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Speaker 3: right now because he's you know, he's in a campaign

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Speaker 3: to be the Republican candidate and saying that, you know,

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Speaker 3: on his watch, this this would have never happened. You

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Speaker 3: have a lot of people on the left if you

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Speaker 3: listen to my podcast, I do not get into politics

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Speaker 3: at all. I just don't like the discussions. But here

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Speaker 3: this won't even be political because it's facts. It's just facts.

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Speaker 2: Yeah.

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Speaker 3: So my thinking the whole time when the invasion was happening,

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Speaker 3: if Trump was still in office, would Putin have invaded?

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Speaker 3: I don't know that there's a clear answer to that

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Speaker 3: question I can tell you in twenty eighteen.

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Speaker 2: Or do you think Trump would have stopped the invasion?

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Speaker 2: You know what I mean, like or he just let it.

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Speaker 2: Here's the doors, let it happen. It's okay, because what

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Speaker 2: I'm thinking is of the like you know, Michael Diadder,

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Speaker 2: you know cartoons of maybe like you know, Putin and

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Speaker 2: Kim Jong un missing Trump in their threesome of a car. Yeah, okay,

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Speaker 2: And so what I'm saying here is that they don't

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Speaker 2: have that. That's just those two guys now, and they're like,

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Speaker 2: what do we do. Do we ride our green train

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Speaker 2: all around and threaten the world or do we actually,

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Speaker 2: you know, wait to see if he comes back or

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Speaker 2: this new world order.

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Speaker 3: I'd so let me answer the question of are they waiting, yes,

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Speaker 3: or Trump to be back in office to do something.

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Speaker 3: There is a lot of evidence in open source and

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Speaker 3: this happens every election cycle. Russia is meddling in US elections.

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Speaker 3: It's happening. They're meddling in Polish elections. Hey, also, guess

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Speaker 3: what the US has been implicated in meddling in other

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Speaker 3: people's elections to install US pro US people. Now, what

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Speaker 3: I can say is that in twenty eighteen I was

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Speaker 3: tabbed to go out to Poland for overt anti Russian aggression,

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Speaker 3: and that was during the Trump administration. And what happened

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Speaker 3: there was the Polish government asked for US help because

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Speaker 3: they were sure that through Coliningrad, through Belarus, Russia was

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Speaker 3: wanting to invade Poland and they were very worried about that.

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Speaker 3: So they tabbed the US military of the US Air

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Speaker 3: Force to come in and start doing an overt anti

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Speaker 3: Russian aggression campaign that involved diosaur intel and just just

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Speaker 3: being within Poland to prevent an attack like what happened

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Speaker 3: in Ukraine. And so what I have looked at and

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Speaker 3: what I have seen is because of that, because of

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Speaker 3: that overt and the reason it was overt is to

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Speaker 3: let Russia know that, hey, we know what you're doing.

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Speaker 3: We are going to back our partners whenever they ask

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Speaker 3: for it. So I do believe that halted some of

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Speaker 3: Putin's plans.

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Speaker 2: Like right now, like currently, right now, there was an

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Speaker 2: agreement with a country that is helpset Russia and the

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Speaker 2: US is going over doing that Operation Freedom Eagle. I

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Speaker 2: don't know what the name of the Operation per Se is,

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Speaker 2: and I want to say it's Armania, but I could

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Speaker 2: be wrong. But they just agreed to like say, the

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Speaker 2: US can protect us because they're watching Russia. Russia look

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Speaker 2: for weapons, right and they're like, if you're supposed to

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Speaker 2: cover US for ninety nine point nine percent of our

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Speaker 2: security and you don't have weapons right now to supply

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Speaker 2: your own wars, your own troops in a war that

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Speaker 2: you're creating, how are you going to protect us? So

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Speaker 2: they've decided to ally with the US. To say hey,

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Speaker 2: you know, enough's enough.

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Speaker 3: Yeah, I think that that Putin did make some missteps here.

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Speaker 3: I don't think so it's like people like you. You

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Speaker 3: talked about it with Armenians and in Kazakhstan and Uzbekistan,

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Speaker 3: a lot of countries that said, hey, we will deal

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Speaker 3: with Russia because they offer us in economic gains, they

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Speaker 3: offer us different things, and they're now seeing, oh, hey, wait,

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Speaker 3: we may be aligning with the wrong people here and

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Speaker 3: so and so that's something that I mean, look, it's

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Speaker 3: historical that Finland and Sweden asked to join NATO. Sweden

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Speaker 3: is a neutral country. They've they have spent their whole

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Speaker 3: history trying well current modern history, trying to be neutral

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Speaker 3: in every aspect of war globally. And they said, well,

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Speaker 3: this invasion of Ukraine is so significant and it's so

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Speaker 3: close to home, we need that protection. Finland got that,

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Speaker 3: Sweden still working for it, but it is that was

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Speaker 3: definitely a miscalculation from Putin In saying hey, this was

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Speaker 3: because NATO was on our doorstep and we want to

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Speaker 3: try to push back against a nuclear NATO who is

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Speaker 3: aggressive towards Russia. Well, now you've got Finland, who is

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Speaker 3: as close as you can be to the Russian border.

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Speaker 3: You've got Sweden gaining, You've got Moldova getting some talks

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Speaker 3: about becoming a NATO country, and that's far off because

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Speaker 3: of their economy and the size of their military. But

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Speaker 3: it is a bunch of countries that are saying, hey,

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Speaker 3: look we need protections and so there's an organization that

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Speaker 3: can protect us. You say what you want about NATO,

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Speaker 3: but they have been protecting their own. And then I

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Speaker 3: think the same can be said if you want to

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Speaker 3: talk if you want to cross over into the Indo

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Speaker 3: Pacific and talk about China. I think a lot of

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Speaker 3: countries right now are figuring out do we align with China,

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Speaker 3: do we get that possible economic boost that China may give,

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Speaker 3: or do we realize that China's only looking out for

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Speaker 3: themselves and we kind of need to to become an

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Speaker 3: ally with a country that would push back against an

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Speaker 3: aggressive China. And that's in countries not just like Taiwan,

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Speaker 3: not just the Philippines, but New Zealand, Australia. These are

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Speaker 3: large economies, large countries that are rethinking their entire global

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Speaker 3: standing and what they're going to do on a geopolitical level.

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Speaker 3: It is what we're going through is historical.

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Speaker 2: Of course it is, because we're going through it right.

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Speaker 2: I don't disagree with you at all, and this conversation

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Speaker 2: is good to have. I mean, I just want to

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Speaker 2: let my listener know that you have spent about fifteen

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Speaker 2: years in the Army and Intel and doing analytical, you know,

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Speaker 2: doing analyst stuff, which we all know our favorite superheroes

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Speaker 2: come from. I'm just an analyst, bro, I just have

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Speaker 2: a keyboard. I just I'm a computer salesman, Jamie Lee Curtis, Ah,

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Speaker 2: get down true lies. You know, I don't know. My

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Speaker 2: husband's a computer salesman. So when you're doing UAV okay,

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Speaker 2: so unmanned aerial vehicle. And then there's like i R

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Speaker 2: S is that international search and is R is that

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Speaker 2: International search and rescue? Where I saw that little tidbit,

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Speaker 2: what is IR?

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Speaker 3: So that is in the form of intelligence, surveillance and reconnaissance.

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Speaker 3: So UAV is part of an ISR system, satellites are

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Speaker 3: part of an ISR system. And sure it's just a

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Speaker 3: combination of all of those things. So talk about what

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Speaker 3: a UAV or you know, what's known I guess colloquially

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Speaker 3: as a drone. How does that fit in the ISR.

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Speaker 3: So a drone collects intelligence because it has a camera,

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Speaker 3: it flies around, it can can pick up things that

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Speaker 3: has other things that are classified that are attached to

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Speaker 3: it that can also pick up intelligence. You have surveillance, well,

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Speaker 3: it's got the camera. You can surveil, you can see

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Speaker 3: what people are doing. I spent many many hours on

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Speaker 3: a twelve hour shift just watching things and surveilling, observing, observing.

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Speaker 3: And then you've got reconnaissance, and that is you know

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Speaker 3: what we have is a route recon route reconnaissance. I

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Speaker 3: did this a lot with Special Operations. Hey do a

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Speaker 3: route recon immediately because we got we've got guys going out.

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Speaker 3: And so that's that's where I fit in in the

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Speaker 3: special operations. The soft community is a sport guy. I

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Speaker 3: was an intel guy. I was that person. I could

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Speaker 3: not have gone through the Q course or buds. I've

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Speaker 3: always said that, and I had I had one one

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Speaker 3: guy while I was in while I was in a RAT,

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Speaker 3: and I talked to him about it, and he kind

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Speaker 3: of he actually changed my perspective on it and probably

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Speaker 3: led me on the trajectory that I am today in

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Speaker 3: believing in myself and doing things that I think are

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Speaker 3: difficult to do that I could never accomplish, And if

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Speaker 3: you don't try it, you'll never know. And he said,

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Speaker 3: you can get through anything, but you've already failed because

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Speaker 3: in your head you told yourself you can't do it right.

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Speaker 2: And I believe that.

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Speaker 3: Yeah, it isle stayed with me. That was about I

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Speaker 3: would say, twelve years ago, and it's stuck with me

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Speaker 3: through these twelve years. And so I try. Everything I

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Speaker 3: try is harder and harder and harder. Podcasting is not

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Speaker 3: maybe the most physically enduring thing to do. Sometimes it

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Speaker 3: is if you're sitting down for four hours.

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Speaker 2: Yeah, if you're getting one hundred million dollars for five years,

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Speaker 2: you know, I mean, yeah, there's a big difference between

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Speaker 2: programming and editing, and you know, rescheduling and after you

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Speaker 2: have everything set up and then all of a sudden,

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Speaker 2: a technical issue, like prior to the show today, someone

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Speaker 2: I was having those technical issues and hear you. But

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Speaker 2: we had to work through that and resolve it, you know,

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Speaker 2: and we have to just keep pushing forward. If I

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Speaker 2: didn't try to go boxing, or didn't try to do snowboarding,

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Speaker 2: or didn't try I would never know that I would

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Speaker 2: I love those things. Yeah, that's it.

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Speaker 3: That's a great way to say it is that you

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Speaker 3: don't know you'll love it, right, It seems difficult, and

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Speaker 3: then you get through it. Listen, when I started out

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Speaker 3: in oh Man, I started in two thousand and one.

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Speaker 3: October sixteen, two thousand and one is when I raised

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Speaker 3: my right hand to join the army. And I never

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Speaker 3: would have thought my future would be in the intel community.

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Speaker 3: It was not something I thought was going to be

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Speaker 3: a passion of mine. I loved following sports, and I

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Speaker 3: loved writing about sports. I loved acting. I thought I

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Speaker 3: was going to go to LA and be an actor.

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Speaker 3: Just let me get through this little army thing and

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Speaker 3: then I can go do it.

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Speaker 2: And you can and now you can and you can

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Speaker 2: and you can. I'm sag. I got you, dude. I

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Speaker 2: stand with the writers, and I stand with everybody who

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Speaker 2: strike right now. I don't want our faces just to

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Speaker 2: be manipulated for time and eternity, even though they can be.

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Speaker 2: It should be fair wages. You know, through all of time,

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Speaker 2: my ancestors have been like entertainers or warriors. It's really weird.

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Speaker 2: I have a grandfather I never knew owned a circus,

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Speaker 2: I kind of do the same thing. So entertaining is

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Speaker 2: a trade, it is a skill. We are doing this.

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Speaker 2: You know, it's like it's only fair to have fair

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Speaker 2: wages for fair trade.

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Speaker 3: That is exactly right if you're putting the work in

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Speaker 3: and that this is the talk to get into like

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Speaker 3: AI and what is AI going to do and if allowed,

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Speaker 3: if not regulated? And I'm not saying by the you know,

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Speaker 3: the US government. Listen. I spent four hours in the

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Speaker 3: Social Security Administration on Friday, two more hours today before

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Speaker 3: I came on here. It's inefficient. There's a lot of

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Speaker 3: inefficiencies within the government. Yeah, but AI, if not regulated correctly,

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Speaker 3: will be used to make much cheaper labor. And we're

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Speaker 3: seeing that. We're seeing a group of I would say

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Speaker 3: forward thinking, the writers within SAD with the writers in Hollywood.

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Speaker 3: They're forward thinking about it and they are seeing what

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Speaker 3: production companies if First of all, and we do this

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Speaker 3: in an intel right, So if you're going to make

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Speaker 3: a predictive model, you first have to look to the

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Speaker 3: past and how somebody has acted in the past. So

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Speaker 3: if I'm following a high value target, I can go

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Speaker 3: see places that that high value target has interacted with

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Speaker 3: on a Monday at six pm, so I kind of

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Speaker 3: get a feel for Hey, every Monday at this time,

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Speaker 3: that's what they're going to do. So I believe the

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Speaker 3: writers looked at the past of the production companies and said,

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Speaker 3: they've siphoned off money from us for years. Every new

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Speaker 3: thing that came up, they found a new way to

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Speaker 3: take money away from us. So now we're going to

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Speaker 3: strike so that they can't do that with AI. Because

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Speaker 3: as good as AI is getting, and it's not there yet,

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Speaker 3: but as good as it's getting with machine learning, to

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Speaker 3: use the face and voice of a person without their

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Speaker 3: explicit written consent should be illegal to create that face

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Speaker 3: through AI, to create their words without their explicit and

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Speaker 3: like I said, I use words that mean something. Every

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Speaker 3: word to me means something, So to say explicit consent

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Speaker 3: to do that, I don't think the production companies have

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Speaker 3: a right now. I'm just a geopolitical analyst and an

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Speaker 3: Intel guys, So.

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Speaker 2: Let me tell you. I was doing some commercial work

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Speaker 2: for someone here locally and they said, hey, rad, we

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Speaker 2: need you to read some lines off camera. When you

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Speaker 2: get a minute, can you go voice those over and

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Speaker 2: then send them to us. Well, it was just kind

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Speaker 2: of like a convoluted situation. I was just like, how

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Speaker 2: do you want me to voice these except like, oh,

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Speaker 2: you know what, I don't really you don't really have

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Speaker 2: the time. I was like, yeah, I'm busy today, et cetera.

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Speaker 2: So they went and said we got it take care

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Speaker 2: of and they sent me the clip and it's like, hey, Mitch,

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Speaker 2: I need you to go into the house and rescue

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Speaker 2: the hostages. And he's like Roger that rad and I

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Speaker 2: was like, that's my voice. I'm like, wait, wait, wait,

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Speaker 2: let me listen to this. And I'm now I'm listening

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Speaker 2: to myself and they've overlaid my voice into this you

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Speaker 2: know scenario. And I'm not mad about it. I'm just

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Speaker 2: it's been done to me. I didn't know the technology

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Speaker 2: at the time was what they were doing. It was

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Speaker 2: about ten months ago, maybe like a year ago. This

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Speaker 2: has just been within a year, so it's out there.

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Speaker 2: You know. I've been recorded and overlaid into the background

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Speaker 2: of you know, like I'm on a walkie talkie. Okay,

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Speaker 2: so it sounds like you hear the breaks and everything

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Speaker 2: with the walkie and it's like rat or over over.

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Speaker 2: So yeah, So ask someone who has had that happen

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Speaker 2: as someone you know who's been in Stephen King movies

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Speaker 2: and things like that. How do we, you know, as

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Speaker 2: those actors, as these people out there try to prevent

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Speaker 2: that likeness from being abused in perpetuity, which is what

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Speaker 2: they put in contracts, perpetuity forever, right right. They want

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Speaker 2: to do a reality sh on my Airsoft war games

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Speaker 2: here in Utah, and we're looking at over all these

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Speaker 2: contracts from these guys out of la and it just

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Speaker 2: kept saying, in perpetuity, we get a percentage in perpetuity

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Speaker 2: of your business in perpetuity. I was like, wait, are

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Speaker 2: you telling me that all these other reality shows out

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Speaker 2: there that have a product behind them that they they

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Speaker 2: are cutting it to the producers and then the chat

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Speaker 2: like they're getting a cut of that for life. Right,

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Speaker 2: whether if they make a product and they're selling it

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Speaker 2: through the show, that show is getting it because they

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Speaker 2: learned with the chick that made vodka, the lady that

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Speaker 2: made vodka on that reality show back in the day,

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Speaker 2: and they didn't have her tied to any paperwork, and

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Speaker 2: she went with like skinny Girl vodka and it became

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Speaker 2: a huge, huge.

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Speaker 3: Thing that's still still selling today, Yes, exactly one of

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Speaker 3: the more popular popular vodkas.

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Speaker 2: And it's true.

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Speaker 3: So that's all because of what lawyers, right, I mean,

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Speaker 3: the production companies have the money to spend on lawyers,

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Speaker 3: and so when they make a mistake, they can go

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Speaker 3: back and go, Okay, how do we you know, can

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Speaker 3: we fix it? Can we adjust it? And they'll get

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Speaker 3: they'll get lawyers who there are some ethical lawyers out

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Speaker 3: there that will do the right thing. That's not who

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Speaker 3: they're looking for. I would say, no, they're mostly looking

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Speaker 3: for for those that would put in perpetuity in all that.

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Speaker 3: But what we can't also do is say, oh, well,

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Speaker 3: AI is becoming a thing, let's just not use it,

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Speaker 3: not do anything and fight fight back against it, because

396
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Speaker 3: it's already there, it's already being utilized, and if you're

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Speaker 3: not using it, you are not being productive enough in

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Speaker 3: the day. I will say, now, we started, when I

399
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Speaker 3: started working for Special Operations as part of their IR program,

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Speaker 3: we actually sent somebody to look at these AI models

401
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Speaker 3: to help with our UAV program. And what they found

402
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Speaker 3: was that at that point, this was ten years ago,

403
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Speaker 3: they said, you know, at that point, we don't see

404
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Speaker 3: that AI is going to be able to take over

405
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Speaker 3: any analyst. That was a bit of a relief for

406
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Speaker 3: me coming ten years ago first time really thinking about AI.

407
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Speaker 3: And then I it was about four years after that,

408
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Speaker 3: I'm sitting at a conference and AI is just blowing up.

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Speaker 3: It's everywhere, you know. The one of the creators of

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Speaker 3: Google came and did a keynote speech for this conference,

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Speaker 3: and at that point AI got to the point where, yes,

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Speaker 3: so now AI can't analyze these things for intelligence agents

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Speaker 3: and for different agencies. The problem is you have to

414
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Speaker 3: have a human element in there. What we found when

415
00:22:38,760 --> 00:22:42,040
Speaker 3: you're what we would call bean counting, which is just

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Speaker 3: counting things, whether it's people or tanks. The AI can

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Speaker 3: count all of the tanks in an area, but two

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Speaker 3: things happen. One it'll misidentify tanks because it's under you know,

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Speaker 3: it's under cover, between trees, things of that nature. And

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Speaker 3: two it'll miss or it'll over count the tank. So

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Speaker 3: analysts so have to go back and verify all of

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Speaker 3: that information. And so what I would say to the

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Speaker 3: writers who are fighting back against this is start using

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Speaker 3: AI to improve your craft. AI can maybe help think

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Speaker 3: outside the box. Hey, I want to write something about this,

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Speaker 3: give me a couple of ideas, and a very intelligent

427
00:23:27,000 --> 00:23:30,720
Speaker 3: person could get two ideas and go, oh, this is brilliant,

428
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Speaker 3: let's do it. It's not to the point where so

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Speaker 3: for me, unless the AI can feel emotion, unless it's sentient,

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Speaker 3: unless it understands all of this, it's not going to

431
00:23:45,600 --> 00:23:48,760
Speaker 3: write a good it's not going to write a quality

432
00:23:48,960 --> 00:23:50,879
Speaker 3: movie that you're going to want to see. It's not

433
00:23:50,920 --> 00:23:53,200
Speaker 3: going to write a quality song that you're going to

434
00:23:53,280 --> 00:23:55,160
Speaker 3: want to hear, and it's not going to do quality

435
00:23:55,200 --> 00:23:59,000
Speaker 3: analysis that is going to help you understand information.

436
00:24:00,320 --> 00:24:03,000
Speaker 2: See because in our lane as podcasters, you know, as

437
00:24:03,040 --> 00:24:06,040
Speaker 2: hosts and television even you know, NBC, any of these

438
00:24:06,040 --> 00:24:08,119
Speaker 2: other networks out there that have a host, you know,

439
00:24:08,160 --> 00:24:09,679
Speaker 2: they all have to be wondering, like are they going

440
00:24:09,760 --> 00:24:12,640
Speaker 2: to go into an AI platform for running a show?

441
00:24:12,680 --> 00:24:14,520
Speaker 2: And I've we've talked about it in our house of

442
00:24:14,640 --> 00:24:17,440
Speaker 2: softwa rep, you know, and like what's AI chat GPT.

443
00:24:17,760 --> 00:24:21,639
Speaker 2: If we're not embracing something with it, we're gonna be

444
00:24:21,680 --> 00:24:24,200
Speaker 2: missing out, which is exactly kind of what you're talking about, right.

445
00:24:24,240 --> 00:24:27,840
Speaker 2: How do we bring that and embrace it versus just

446
00:24:27,920 --> 00:24:31,000
Speaker 2: put on a robot per se that looks like somebody

447
00:24:31,040 --> 00:24:34,960
Speaker 2: talking about something that you'll have just AI watching AI,

448
00:24:35,240 --> 00:24:38,560
Speaker 2: artificial intelligence, just watching artificial intelligence, because the only thing

449
00:24:38,640 --> 00:24:42,639
Speaker 2: going to be happening is there's nobody real. So chat GPT,

450
00:24:42,840 --> 00:24:45,600
Speaker 2: everything written by a computer, then watched by a computer,

451
00:24:45,680 --> 00:24:47,840
Speaker 2: then hosted by a computer. It's just gonna be talking

452
00:24:47,880 --> 00:24:50,640
Speaker 2: to a computer. It's just gonna be all watching itself.

453
00:24:50,680 --> 00:24:54,080
Speaker 2: And how can it grow? And then you have Terminator. Okay,

454
00:24:54,240 --> 00:24:58,000
Speaker 2: the movie sky Start one hundred percent. You know, John

455
00:24:58,080 --> 00:25:00,280
Speaker 2: Connor is like, you're only as good as the you know,

456
00:25:00,280 --> 00:25:02,240
Speaker 2: they're only as good as the people who programmed them.

457
00:25:02,560 --> 00:25:07,280
Speaker 3: Yeah, so you got some too, Yeah, And that's exactly right.

458
00:25:07,320 --> 00:25:11,400
Speaker 3: The AI will only be as good as whoever's programming

459
00:25:11,440 --> 00:25:14,240
Speaker 3: it if it becomes sentient, and we talk about Skynet

460
00:25:14,280 --> 00:25:17,320
Speaker 3: and that, so that can be very worrisome. We're not

461
00:25:17,400 --> 00:25:20,280
Speaker 3: there yet, that's not in the foreseeable future.

462
00:25:20,760 --> 00:25:23,000
Speaker 2: What about something in this last little while, in the

463
00:25:23,080 --> 00:25:25,359
Speaker 2: last year that we're talking here, there's been like they

464
00:25:25,359 --> 00:25:28,159
Speaker 2: had to shut down the two AI robots that we're

465
00:25:28,200 --> 00:25:31,760
Speaker 2: talking in their own language at Facebook because they start

466
00:25:31,800 --> 00:25:34,840
Speaker 2: to like talk to themselves in their own language and

467
00:25:34,920 --> 00:25:35,439
Speaker 2: do things.

468
00:25:35,800 --> 00:25:39,080
Speaker 3: Yeah, and now think about it. So you do things

469
00:25:39,080 --> 00:25:41,880
Speaker 3: with AI to be more efficient. You want more efficiency

470
00:25:42,560 --> 00:25:47,119
Speaker 3: if AI understands that, if they get access to everything

471
00:25:47,880 --> 00:25:51,320
Speaker 3: that allows us to be human and keeps us running,

472
00:25:51,840 --> 00:25:55,600
Speaker 3: what is to stop AI from realizing that, Well, you

473
00:25:55,640 --> 00:25:57,800
Speaker 3: know who's doing the most damage to this earth.

474
00:25:58,359 --> 00:25:59,200
Speaker 2: You know who's.

475
00:25:59,480 --> 00:26:04,919
Speaker 3: Actually an invasive species. It's Homo sapiens. It's the human race.

476
00:26:05,920 --> 00:26:09,760
Speaker 3: So we may need to eradicate the human race in

477
00:26:09,880 --> 00:26:14,159
Speaker 3: order to save the planet. That is stuff that I

478
00:26:14,200 --> 00:26:16,800
Speaker 3: said it as AI. But you know, there are some

479
00:26:16,920 --> 00:26:20,600
Speaker 3: people that probably believe that. You know, if you get

480
00:26:20,600 --> 00:26:25,879
Speaker 3: into the environmentalist areas, they would very much agree that, yes,

481
00:26:26,080 --> 00:26:29,520
Speaker 3: it's Homo sapiens that are invasive creatures that are ruining

482
00:26:29,520 --> 00:26:32,520
Speaker 3: this world and probably need to go. They would probably

483
00:26:32,520 --> 00:26:35,119
Speaker 3: also say, but not me, because I'm doing the right thing.

484
00:26:35,359 --> 00:26:38,080
Speaker 2: Because every group has their own hit list, right, every

485
00:26:38,080 --> 00:26:40,199
Speaker 2: group has their own hit list. It's like, well, I

486
00:26:40,280 --> 00:26:42,439
Speaker 2: just don't want to be on any of them. Yeah,

487
00:26:42,640 --> 00:26:45,560
Speaker 2: just keep me, keep me out of it, keep my

488
00:26:46,040 --> 00:26:46,879
Speaker 2: name out your mouth.

489
00:26:47,920 --> 00:26:52,400
Speaker 3: So a regulation for AI should be to have that

490
00:26:52,560 --> 00:26:56,520
Speaker 3: kill switch that says, hey, when you start thinking, you know,

491
00:26:56,640 --> 00:27:03,480
Speaker 3: death and destruction to any living being, you turn off immediately.

492
00:27:03,800 --> 00:27:06,679
Speaker 3: That'll probably be something that needs to be to be

493
00:27:06,720 --> 00:27:08,000
Speaker 3: put into the algorithms.

494
00:27:08,040 --> 00:27:08,600
Speaker 2: But then with.

495
00:27:08,680 --> 00:27:14,640
Speaker 3: Machine clap offs, does the AI go find it and say, well,

496
00:27:14,680 --> 00:27:18,399
Speaker 3: look at that, let's delete that script and keep going.

497
00:27:18,960 --> 00:27:20,879
Speaker 3: You know, we can go down the rabbit hole and

498
00:27:20,920 --> 00:27:22,680
Speaker 3: get very scary very quickly.

499
00:27:23,080 --> 00:27:25,800
Speaker 2: Oh. I've seen the memes of the robot that they

500
00:27:25,880 --> 00:27:28,240
Speaker 2: kick and punch and it's trying to shoot and they

501
00:27:28,280 --> 00:27:30,000
Speaker 2: flip it around and it points at them and it

502
00:27:30,040 --> 00:27:32,360
Speaker 2: doesn't shoot them, and it's like super you know, I've

503
00:27:32,400 --> 00:27:35,160
Speaker 2: seen that, Like is it a a t X. They're

504
00:27:35,160 --> 00:27:37,920
Speaker 2: an artificial company, maybe Boston Dynamics are out there, they're

505
00:27:37,960 --> 00:27:38,760
Speaker 2: making stuff like that.

506
00:27:38,880 --> 00:27:44,320
Speaker 3: Well, there was a an experiment in twenty fourteen or

507
00:27:44,320 --> 00:27:47,639
Speaker 3: twenty fifteen, I can't now. I won't say years, but

508
00:27:47,720 --> 00:27:50,359
Speaker 3: it was a few years back where they sent a

509
00:27:50,480 --> 00:27:54,400
Speaker 3: robot through the length of Canada to see how far

510
00:27:54,640 --> 00:27:56,160
Speaker 3: it can make us a hitchhiking robot.

511
00:27:56,760 --> 00:28:01,200
Speaker 2: Why I know about this, yeah, I do. So through Canada.

512
00:28:01,320 --> 00:28:02,840
Speaker 3: It was picked up and it was trying to get

513
00:28:02,840 --> 00:28:05,360
Speaker 3: from one, you know, one end to the other end

514
00:28:05,520 --> 00:28:07,960
Speaker 3: of Canada and it made it successfully. Because it's Canada,

515
00:28:08,480 --> 00:28:11,520
Speaker 3: we all know Canadians for being very very kind, generous

516
00:28:11,560 --> 00:28:13,840
Speaker 3: and helpful. And then it made it to the United

517
00:28:13,880 --> 00:28:17,880
Speaker 3: States and it got to Philadelphia and by the time

518
00:28:17,920 --> 00:28:23,120
Speaker 3: it got to Philadelphia was completely destroyed. It was just nothing.

519
00:28:23,240 --> 00:28:25,320
Speaker 3: Nothing was there, and I believe it got it was lost.

520
00:28:25,359 --> 00:28:28,840
Speaker 3: They couldn't find it, so it's positioning, its GPS was

521
00:28:28,880 --> 00:28:32,080
Speaker 3: taken out, all of this kind of stuff. That's one story,

522
00:28:32,160 --> 00:28:34,639
Speaker 3: just to show you how different the United States is

523
00:28:34,640 --> 00:28:35,040
Speaker 3: from there.

524
00:28:35,359 --> 00:28:39,600
Speaker 2: Yeah, it gets down here and we graffeed it and

525
00:28:39,640 --> 00:28:42,680
Speaker 2: put some chains on it and throw it next pile.

526
00:28:43,000 --> 00:28:45,240
Speaker 2: You know, they need Mark Roper to make it. You know,

527
00:28:45,320 --> 00:28:45,800
Speaker 2: are we.

528
00:28:47,160 --> 00:28:52,560
Speaker 3: Are we ready for the uh the robot Overlord takeover? Well, Philadelphia,

529
00:28:52,560 --> 00:28:53,440
Speaker 3: I'll tell you we're ready.

530
00:28:53,560 --> 00:28:58,640
Speaker 2: We'll fight back. Yeah, they are, Rocky Marciano Philadelphia. What's up?

531
00:28:58,800 --> 00:29:02,920
Speaker 2: They're ready? One two one, bro, that's what's up. Yeah,

532
00:29:02,920 --> 00:29:05,600
Speaker 2: that skate park is brutal if you're not from there, right,

533
00:29:05,680 --> 00:29:09,280
Speaker 2: it's yeah, that's the or in the nineties it had that,

534
00:29:09,800 --> 00:29:11,920
Speaker 2: you know, like there was that whole show called Kids

535
00:29:12,560 --> 00:29:14,960
Speaker 2: and it was about all you know, like that was

536
00:29:15,040 --> 00:29:17,560
Speaker 2: my generation of kids that were doing those things, and

537
00:29:17,760 --> 00:29:20,200
Speaker 2: we were like, let's go skate there, but they kind

538
00:29:20,200 --> 00:29:24,000
Speaker 2: of showcase the brotherly love factor at Love Park there. So,

539
00:29:24,360 --> 00:29:27,440
Speaker 2: but what's up Philadelphia? Taylor Swift blew out some records

540
00:29:27,440 --> 00:29:30,240
Speaker 2: with some hotel rentals.

541
00:29:29,960 --> 00:29:33,200
Speaker 3: She is single handily saving the US economy.

542
00:29:34,040 --> 00:29:37,240
Speaker 2: And South America and wherever she's going to travel, and uh,

543
00:29:37,360 --> 00:29:40,720
Speaker 2: we love Taylor Swift at software. What's up Taylor Swift?

544
00:29:43,840 --> 00:29:46,480
Speaker 2: True story? I wouldn't. I would be a liar if

545
00:29:46,480 --> 00:29:48,240
Speaker 2: I said any other words.

546
00:29:50,120 --> 00:29:52,800
Speaker 3: Yeah, so we saw there that well, well there's people

547
00:29:52,840 --> 00:29:55,560
Speaker 3: with a lot of disposable income and they all wanted

548
00:29:55,600 --> 00:29:56,640
Speaker 3: to go see Taylor Swift.

549
00:29:56,640 --> 00:29:56,960
Speaker 2: That thought.

550
00:29:56,960 --> 00:30:00,600
Speaker 3: I think that was an incredible display of humanity.

551
00:30:01,240 --> 00:30:03,400
Speaker 2: I got to go, and I took my whole family.

552
00:30:03,440 --> 00:30:06,560
Speaker 2: Let's talk about disposable income. Tickets were about two fifty

553
00:30:06,600 --> 00:30:09,520
Speaker 2: apiece for me. Okay, two hundred and fifty bucks. That's

554
00:30:09,520 --> 00:30:11,520
Speaker 2: a lot considering I grew up in the nineties and

555
00:30:11,560 --> 00:30:18,080
Speaker 2: the two thousands with tickets being like five twenty bucks. Okay, now,

556
00:30:18,120 --> 00:30:19,880
Speaker 2: it's like all right, So we went and it was

557
00:30:19,920 --> 00:30:23,120
Speaker 2: well worth it, all right, I mean, like core memory accomplished.

558
00:30:23,800 --> 00:30:26,880
Speaker 2: But I got them through the whole debacle of the

559
00:30:27,720 --> 00:30:30,320
Speaker 2: ticket Master crumble. So I was in line, I was

560
00:30:30,360 --> 00:30:33,960
Speaker 2: in Q it crumbled. They sent me another code through

561
00:30:33,960 --> 00:30:36,880
Speaker 2: Taylor Swift's organization, saying, hey, we're gonna send you another code.

562
00:30:37,120 --> 00:30:39,520
Speaker 2: I was able to log that in and then at

563
00:30:39,520 --> 00:30:41,160
Speaker 2: three pm I was able to get the tickets for

564
00:30:41,200 --> 00:30:45,479
Speaker 2: the regular price twenty two rows up from the floor

565
00:30:45,560 --> 00:30:48,120
Speaker 2: for two fifty apiece. You can't beat that. Yeah, they

566
00:30:48,160 --> 00:30:50,920
Speaker 2: were going I could have sold them for like two

567
00:30:51,040 --> 00:30:55,520
Speaker 2: or three apiece. Sure, yeah, but yeah, that's incredible.

568
00:30:55,880 --> 00:30:59,320
Speaker 3: There's a video of you being a nineties kid, right,

569
00:30:59,640 --> 00:31:03,440
Speaker 3: There's there's this video of Kurt Cobain right from Nirvana

570
00:31:03,960 --> 00:31:08,400
Speaker 3: talking about Madonna's concert and ninety one or ninety two,

571
00:31:08,480 --> 00:31:11,360
Speaker 3: I believe, and they said, what do you think about

572
00:31:11,400 --> 00:31:16,920
Speaker 3: Madonna selling her tickets for fifty dollars? Fifty dollars? And

573
00:31:16,960 --> 00:31:18,000
Speaker 3: he was blown away.

574
00:31:18,880 --> 00:31:20,000
Speaker 2: Fifty dollars.

575
00:31:20,040 --> 00:31:23,080
Speaker 3: We're going to pay fifty dollars to go to a show?

576
00:31:23,480 --> 00:31:26,000
Speaker 2: Didn't he ask? Who is that again? They're like, it's Madonna.

577
00:31:26,000 --> 00:31:30,440
Speaker 2: He's like madonnadi dollars, you know, And honestly, let's put

578
00:31:30,480 --> 00:31:32,880
Speaker 2: let's put Madonna in perspective. She has a huge production,

579
00:31:33,200 --> 00:31:36,200
Speaker 2: she has the whole choreography and the dancing and everything,

580
00:31:36,240 --> 00:31:37,800
Speaker 2: and so you know, and I know she wants to

581
00:31:37,800 --> 00:31:40,760
Speaker 2: make some scrilla all right and some chetta okay. And

582
00:31:41,320 --> 00:31:43,719
Speaker 2: you know, fifty dollars though in the nineties was a

583
00:31:43,760 --> 00:31:46,840
Speaker 2: ton because shows again were like Fugazi was out there

584
00:31:46,840 --> 00:31:49,120
Speaker 2: saying like five dollars. You know, there was labels called

585
00:31:49,160 --> 00:31:51,320
Speaker 2: subpop and all these labels that were like, we don't

586
00:31:51,320 --> 00:31:54,000
Speaker 2: want to sell tickets for more than the kids can afford.

587
00:31:54,080 --> 00:31:56,480
Speaker 2: But you know, Metallica is like five hund.

588
00:31:56,360 --> 00:31:59,200
Speaker 3: Do ticket, you know, yeah, Metallics doing And now I

589
00:31:59,200 --> 00:32:01,080
Speaker 3: did I will say, I'm glad you brought that up

590
00:32:01,080 --> 00:32:04,560
Speaker 3: about the production quality and how it can be worth

591
00:32:04,560 --> 00:32:06,680
Speaker 3: it for your whole family if you're bringing your whole family.

592
00:32:07,040 --> 00:32:09,480
Speaker 3: I did that with the with Lady Gaga. I'm not

593
00:32:09,600 --> 00:32:12,360
Speaker 3: a big fan of Lady Gaga, but you know a

594
00:32:12,360 --> 00:32:14,280
Speaker 3: lot of we listened to a lot of pop in

595
00:32:14,320 --> 00:32:17,280
Speaker 3: the house, so that's one one name that's always out there.

596
00:32:17,600 --> 00:32:19,760
Speaker 3: And like I said, I had caveated with I'm not

597
00:32:19,800 --> 00:32:23,320
Speaker 3: a big fan of Lady Gaga's music, but it was

598
00:32:23,400 --> 00:32:29,000
Speaker 3: such an incredible show entertain experience that we had was

599
00:32:29,640 --> 00:32:32,600
Speaker 3: it was just awesome, So yeah, it can it can't

600
00:32:32,600 --> 00:32:34,920
Speaker 3: be worth it. You just have to realize what you're

601
00:32:34,960 --> 00:32:37,800
Speaker 3: spending your money on and then just go and have

602
00:32:37,840 --> 00:32:40,400
Speaker 3: fun and and accept it and embrace it.

603
00:32:41,320 --> 00:32:42,800
Speaker 2: Right, And it's and and and it was a thing

604
00:32:42,840 --> 00:32:44,640
Speaker 2: where it's like, uh, it was like we only lived

605
00:32:44,720 --> 00:32:47,200
Speaker 2: kind of once attitude. You know. We took on the

606
00:32:47,240 --> 00:32:50,360
Speaker 2: mantra of like, hey, the kids, they're not getting younger,

607
00:32:50,520 --> 00:32:53,479
Speaker 2: we're not getting younger. When I take travel destinations with

608
00:32:53,480 --> 00:32:55,440
Speaker 2: my wife and after we get done there for a

609
00:32:55,440 --> 00:32:57,120
Speaker 2: few days, we're like, hey, we're so glad we did

610
00:32:57,120 --> 00:33:00,440
Speaker 2: this when we were sixty five. Yeah, you know, because

611
00:33:00,520 --> 00:33:02,000
Speaker 2: how can we ever climb to the top of the

612
00:33:02,040 --> 00:33:06,880
Speaker 2: cathedral's top spire, you know, with a cane? You know.

613
00:33:06,960 --> 00:33:08,120
Speaker 2: And I'm not saying that you have to be old

614
00:33:08,160 --> 00:33:09,880
Speaker 2: to have a can. I'm just saying, you know, ailments

615
00:33:09,880 --> 00:33:11,840
Speaker 2: and like, you know, getting up and down every day.

616
00:33:12,120 --> 00:33:14,600
Speaker 2: You know, it's like you got to live life today, right,

617
00:33:14,680 --> 00:33:16,440
Speaker 2: You're living life, You're enjoying yourself.

618
00:33:17,000 --> 00:33:21,680
Speaker 3: Yeah, definitely, and you just don't know what tomorrow holds.

619
00:33:21,760 --> 00:33:24,320
Speaker 3: Every religion is based off of that. Stow. I've been

620
00:33:24,360 --> 00:33:27,920
Speaker 3: getting into Stoicism over the last few years. The Stoic's

621
00:33:27,920 --> 00:33:30,720
Speaker 3: mantra is, don't put off to tomorrow what you need

622
00:33:30,720 --> 00:33:34,800
Speaker 3: to accomplish today. Also, you know, Amnamor, I know that

623
00:33:34,880 --> 00:33:37,320
Speaker 3: you will die one day. We are going not to

624
00:33:37,360 --> 00:33:40,560
Speaker 3: get to morbid here, but we're all going to die

625
00:33:40,600 --> 00:33:44,800
Speaker 3: at some point. Don't spend your whole life worrying about

626
00:33:44,840 --> 00:33:47,680
Speaker 3: when that's going to be. Be in the moment, be

627
00:33:47,800 --> 00:33:50,960
Speaker 3: in the day. I look back on my career in

628
00:33:51,000 --> 00:33:53,920
Speaker 3: the military and dozens of deployments and being in austere

629
00:33:53,960 --> 00:33:59,080
Speaker 3: locations where I was moments from possibly being hit by

630
00:33:59,080 --> 00:34:02,520
Speaker 3: a rocket or shot or killed, and that would have

631
00:34:02,560 --> 00:34:07,120
Speaker 3: been it, And what legacy would I have left, And

632
00:34:07,200 --> 00:34:10,480
Speaker 3: so in thinking that, that's why I've started to do

633
00:34:11,080 --> 00:34:15,000
Speaker 3: what I'm doing now with the podcast is to create

634
00:34:15,040 --> 00:34:19,319
Speaker 3: that legacy. I saw a problem with too much misinformation

635
00:34:19,560 --> 00:34:25,480
Speaker 3: being put out by even high standard media individuals, and

636
00:34:25,680 --> 00:34:27,880
Speaker 3: I wanted to go against that, and I wanted to

637
00:34:27,880 --> 00:34:32,560
Speaker 3: make a legacy for future independent creators to know that

638
00:34:32,960 --> 00:34:39,000
Speaker 3: your logical, intelligence based thinking is correct. You're using facts

639
00:34:39,000 --> 00:34:43,479
Speaker 3: and logic. Don't get bogged down by what everyone else

640
00:34:43,560 --> 00:34:43,960
Speaker 3: is saying.

641
00:34:44,760 --> 00:34:47,560
Speaker 2: Yeah, the machine, the machine can just keep pumping it

642
00:34:47,600 --> 00:34:50,080
Speaker 2: out all day. You know, we lay down in bed

643
00:34:50,120 --> 00:34:52,640
Speaker 2: with these phones that are just super computers that stare

644
00:34:52,680 --> 00:34:55,399
Speaker 2: at our faces, you know, and you know what we're not.

645
00:34:55,480 --> 00:34:58,480
Speaker 2: We're not super computers. And so here you are, it's

646
00:34:58,520 --> 00:35:01,440
Speaker 2: reading you. It's you know, algorithm and your face and

647
00:35:01,480 --> 00:35:04,279
Speaker 2: your nose and your feet, facial structure because you've given

648
00:35:04,280 --> 00:35:10,000
Speaker 2: an app access to allow yeah, to your camera, you know,

649
00:35:10,080 --> 00:35:11,400
Speaker 2: and it's like and then all of a sudden, you

650
00:35:11,400 --> 00:35:12,799
Speaker 2: can't go to sleep and you're just staring at this

651
00:35:12,840 --> 00:35:14,600
Speaker 2: blue led light or you think you have it on

652
00:35:14,680 --> 00:35:17,360
Speaker 2: dark mode, but you're still scrolling, and it's just Fenian.

653
00:35:17,600 --> 00:35:20,280
Speaker 2: I have so many friends that I love and cherish

654
00:35:20,440 --> 00:35:23,960
Speaker 2: on these social media applications. I want to see their feeds, right,

655
00:35:24,360 --> 00:35:26,000
Speaker 2: But then I have other people that I just see

656
00:35:26,040 --> 00:35:29,080
Speaker 2: their feeds instead, I don't see and the other people

657
00:35:29,080 --> 00:35:32,439
Speaker 2: are posting My friends are posting stuff, where's that at?

658
00:35:32,520 --> 00:35:36,719
Speaker 2: You know, So it's still ciphering in what I'm they

659
00:35:36,719 --> 00:35:39,120
Speaker 2: think I want to see, and I have to stop myself.

660
00:35:39,120 --> 00:35:41,080
Speaker 2: The other day, I was talking about Beyonce with my wife.

661
00:35:41,160 --> 00:35:43,359
Speaker 2: I was like, yeah, hey, she's beautiful. Next thing I know, man,

662
00:35:43,480 --> 00:35:45,839
Speaker 2: Beyonce is in my feed. I'm like, I'm not what's

663
00:35:45,880 --> 00:35:47,839
Speaker 2: going on here and now I'm gonna get it again.

664
00:35:48,239 --> 00:35:49,360
Speaker 2: Are my daughter's laptop.

665
00:35:50,320 --> 00:35:53,160
Speaker 3: We have a we've got a dog, a Jack Russell's

666
00:35:53,200 --> 00:35:57,120
Speaker 3: fourteen years old, just getting old, and we constantly talk about,

667
00:35:57,200 --> 00:36:00,399
Speaker 3: you know, the process of how that's gonna look. She's

668
00:36:00,480 --> 00:36:04,640
Speaker 3: deteriorating and grows old. And just the other day of

669
00:36:04,640 --> 00:36:08,480
Speaker 3: my wife said, Hey, my entire Instagram feed is just

670
00:36:09,200 --> 00:36:11,960
Speaker 3: dogs memorials for dogs, so sad.

671
00:36:12,080 --> 00:36:13,000
Speaker 2: Why is that?

672
00:36:13,920 --> 00:36:16,680
Speaker 3: It's like we've been talking about it. Yeah, you know,

673
00:36:16,760 --> 00:36:20,480
Speaker 3: every motion you make with your phone is captured by

674
00:36:21,040 --> 00:36:24,200
Speaker 3: some data center and it is used within the algorithm.

675
00:36:24,480 --> 00:36:27,719
Speaker 3: And I am sometimes I'm not aware. Sometimes I'll doom

676
00:36:27,760 --> 00:36:30,600
Speaker 3: scroll and just scroll around. But then sometimes I'm I'm

677
00:36:30,640 --> 00:36:35,480
Speaker 3: acutely aware of how long I stay on a post knowing, oh,

678
00:36:35,520 --> 00:36:36,600
Speaker 3: that's in my algorithm.

679
00:36:36,640 --> 00:36:39,160
Speaker 2: Now, So how we turn it into a business. You know,

680
00:36:39,239 --> 00:36:42,759
Speaker 2: we turned into our justifying it because I work online.

681
00:36:42,280 --> 00:36:45,480
Speaker 3: And so that is a lot of like content creators

682
00:36:45,200 --> 00:36:48,600
Speaker 3: on Twitter and Instagram is trying to figure out the algorithm.

683
00:36:49,120 --> 00:36:53,239
Speaker 3: So you're not getting genuine content. Well, we have you know,

684
00:36:53,400 --> 00:36:57,960
Speaker 3: open Analytics has an Instagram page, and in researching how

685
00:36:57,960 --> 00:37:00,439
Speaker 3: to start that, how to gain a following. It all

686
00:37:00,520 --> 00:37:04,640
Speaker 3: about your content. It's not about what's in the content.

687
00:37:05,200 --> 00:37:08,560
Speaker 3: It's about how long somebody stays on the content. So

688
00:37:09,120 --> 00:37:13,040
Speaker 3: if it's a video, it should you know, don't lead

689
00:37:13,880 --> 00:37:17,760
Speaker 3: with the solution. Make sure it's if it's a minute video,

690
00:37:18,239 --> 00:37:22,239
Speaker 3: fifty seconds into that video, you've got the solution to

691
00:37:22,400 --> 00:37:25,759
Speaker 3: keep the audience there for the whole minute, and then

692
00:37:25,840 --> 00:37:27,919
Speaker 3: more of your content is going to be pulled from

693
00:37:27,920 --> 00:37:31,360
Speaker 3: that and it's going to be into more people's feeds.

694
00:37:31,640 --> 00:37:34,239
Speaker 3: People are making tons of money, like go on you

695
00:37:34,280 --> 00:37:36,479
Speaker 3: can go on Twitter or x as it's called now.

696
00:37:36,880 --> 00:37:40,920
Speaker 3: I still haven't gotten used to saying that, but it's

697
00:37:41,080 --> 00:37:42,640
Speaker 3: so what they'll tell you if you want to be

698
00:37:42,640 --> 00:37:46,279
Speaker 3: a content creator on Twitter. When Twitter was Twitter was

699
00:37:46,600 --> 00:37:50,040
Speaker 3: a lot of threads, you want multiple posts about one

700
00:37:50,160 --> 00:37:53,960
Speaker 3: thing because someone will click on it and then they

701
00:37:54,000 --> 00:37:56,840
Speaker 3: will start to read the other threads, and so you

702
00:37:56,960 --> 00:37:59,279
Speaker 3: keep them engaged in there. The longer they stay on

703
00:37:59,480 --> 00:38:04,440
Speaker 3: your post, the more engagement you can receive. So there's

704
00:38:04,480 --> 00:38:10,080
Speaker 3: so much in genuine like just non genuine people AI

705
00:38:10,440 --> 00:38:14,520
Speaker 3: post yeah AI for you know, creating an AI that

706
00:38:14,600 --> 00:38:18,640
Speaker 3: will post these it. I mean, it gets frustrating sometimes

707
00:38:18,680 --> 00:38:21,560
Speaker 3: because you see people with just millions of followers, and

708
00:38:22,040 --> 00:38:26,960
Speaker 3: they're just putting out content that is exactly cookie cutter.

709
00:38:27,560 --> 00:38:29,560
Speaker 3: And I mean it would be like in Hollywood. I'm

710
00:38:29,600 --> 00:38:34,319
Speaker 3: sure writers get frustrated when listen. I love The Avengers,

711
00:38:34,360 --> 00:38:39,200
Speaker 3: I love superhero movies, but it's it's cookie cutter. And

712
00:38:39,239 --> 00:38:42,279
Speaker 3: a lot of writers look at that and go, look,

713
00:38:42,400 --> 00:38:47,000
Speaker 3: they just did a basic college story writing course and

714
00:38:47,040 --> 00:38:50,960
Speaker 3: they created this movie. And I am actually creating something

715
00:38:51,080 --> 00:38:55,160
Speaker 3: new and it expresses a new feeling and it makes

716
00:38:55,200 --> 00:38:57,759
Speaker 3: people feel a certain way, and I can't get any

717
00:38:57,840 --> 00:39:01,240
Speaker 3: engagement because it's not cookie cutter.

718
00:39:02,440 --> 00:39:04,280
Speaker 2: You know. I think would like to get back to acting.

719
00:39:04,680 --> 00:39:07,400
Speaker 2: I think President Zelensky of the Ukraine would like to

720
00:39:07,440 --> 00:39:10,160
Speaker 2: be back in the act. Yeah, he you know, I

721
00:39:10,160 --> 00:39:12,600
Speaker 2: think that dude right there, he's also an actor. You know,

722
00:39:12,680 --> 00:39:15,640
Speaker 2: a lot of the presidents in my lifetime, Reagan, you know,

723
00:39:16,160 --> 00:39:19,040
Speaker 2: they all seem like Trump. They're all like television actors.

724
00:39:19,560 --> 00:39:21,799
Speaker 2: You know, they've all had some type of u Let's

725
00:39:21,800 --> 00:39:25,520
Speaker 2: look at Arnold, right, he's governor of California. That's basically

726
00:39:25,600 --> 00:39:29,120
Speaker 2: president of California, you know, and his claim to famous

727
00:39:29,600 --> 00:39:32,520
Speaker 2: his acting, you know, really, I know he's muscular, and

728
00:39:32,560 --> 00:39:34,520
Speaker 2: I know he has attention to detail, and he's got

729
00:39:34,560 --> 00:39:37,920
Speaker 2: dedication and that that that takes commitment and you know,

730
00:39:38,600 --> 00:39:40,680
Speaker 2: you know, the whole nine yards to be disciplined to

731
00:39:40,719 --> 00:39:42,520
Speaker 2: work out every day and do all of that. So

732
00:39:42,520 --> 00:39:44,000
Speaker 2: I'm not discrediting that from him.

733
00:39:44,200 --> 00:39:47,640
Speaker 3: But again Arnold, I don't think anybody would sit and

734
00:39:47,680 --> 00:39:52,400
Speaker 3: watch Arnold and say what a terrific actor he.

735
00:39:56,200 --> 00:39:58,880
Speaker 2: Did. Well, you know, when he got that job and terminator,

736
00:39:58,920 --> 00:40:02,080
Speaker 2: he was quoted as saying, like to James Cameron, you know,

737
00:40:02,120 --> 00:40:04,160
Speaker 2: the terminator, he can't look at the gun when he

738
00:40:04,200 --> 00:40:06,719
Speaker 2: puts it together. He just puts it together. He has

739
00:40:06,760 --> 00:40:09,360
Speaker 2: to just like no, because he is the terminator. And

740
00:40:09,400 --> 00:40:12,239
Speaker 2: he's like, well, how about you're the terminator because they

741
00:40:12,239 --> 00:40:14,480
Speaker 2: were supposed to have a OJ Simpson and he was

742
00:40:14,520 --> 00:40:15,400
Speaker 2: going to be the terminator.

743
00:40:15,480 --> 00:40:18,160
Speaker 3: Yeah, so they dodged a bullet for lack of a

744
00:40:18,360 --> 00:40:18,959
Speaker 3: better term.

745
00:40:19,200 --> 00:40:23,160
Speaker 2: Well, yeah, and at the time OJ was huge, right, huge, huge, huge, huge,

746
00:40:23,200 --> 00:40:24,960
Speaker 2: And so he went off to do airplane movies and

747
00:40:25,200 --> 00:40:28,680
Speaker 2: other things and the rental car agencies. But he was

748
00:40:28,800 --> 00:40:32,160
Speaker 2: and he was already like the terminator. And then Arnold

749
00:40:32,160 --> 00:40:35,200
Speaker 2: had lunch with James Cameron and he's like, you know,

750
00:40:35,239 --> 00:40:37,480
Speaker 2: the terminator needs to just like hold the shotgun like

751
00:40:37,520 --> 00:40:39,279
Speaker 2: this and not even look and like go through the

752
00:40:39,280 --> 00:40:41,920
Speaker 2: phone book and just touch the name, you know, like

753
00:40:41,960 --> 00:40:44,080
Speaker 2: here it is, he's the terminator.

754
00:40:44,520 --> 00:40:48,520
Speaker 3: That story is a great reflection of how you know,

755
00:40:48,719 --> 00:40:51,520
Speaker 3: if you just put yourself out there and you just

756
00:40:51,680 --> 00:40:56,400
Speaker 3: do it. You know how many people myself included, would

757
00:40:56,400 --> 00:41:00,799
Speaker 3: be very intimidated to tell James Cameron, a director, a

758
00:41:00,840 --> 00:41:05,480
Speaker 3: famed director right for a movie, that oh, you've got

759
00:41:05,480 --> 00:41:10,279
Speaker 3: this wrong. You should change it. It should be something different. Yeah,

760
00:41:10,320 --> 00:41:13,480
Speaker 3: And so so we go, oh, I think that's different.

761
00:41:13,520 --> 00:41:16,839
Speaker 3: But I either I don't have the confidence to say

762
00:41:16,840 --> 00:41:20,200
Speaker 3: that or I don't have the ability to tell them

763
00:41:20,280 --> 00:41:23,920
Speaker 3: just put yourself out there. When we started the podcast,

764
00:41:23,960 --> 00:41:26,759
Speaker 3: it was like, so what is this going to be?

765
00:41:26,840 --> 00:41:29,000
Speaker 3: You know, where's it going to go? And it was like,

766
00:41:29,200 --> 00:41:32,120
Speaker 3: so what if you fail? Well that I had to say,

767
00:41:32,160 --> 00:41:34,680
Speaker 3: if I fail, it just means the next opportunity is

768
00:41:34,680 --> 00:41:37,480
Speaker 3: going to open. You can gain success through failure. I

769
00:41:37,480 --> 00:41:42,120
Speaker 3: will say almost every successful entrepreneur, almost every successful person

770
00:41:42,160 --> 00:41:44,280
Speaker 3: you see, has gone through failure.

771
00:41:44,719 --> 00:41:48,000
Speaker 2: It's true, one hundred percent. The gym is failure. You

772
00:41:48,040 --> 00:41:50,000
Speaker 2: go to the gym, if you go to your craft's

773
00:41:50,480 --> 00:41:52,480
Speaker 2: workout space. If you're an actor and you go to

774
00:41:52,520 --> 00:41:55,319
Speaker 2: acting class and you fail there and you wanted to

775
00:41:55,360 --> 00:41:57,160
Speaker 2: get better. You know, if you go to the gym

776
00:41:57,200 --> 00:42:00,400
Speaker 2: and you push your muscle fatigue to failure, you know,

777
00:42:00,560 --> 00:42:02,759
Speaker 2: so that you can rebuild your muscles and let them

778
00:42:02,840 --> 00:42:04,919
Speaker 2: and go to bed and get some good sleep, because

779
00:42:04,960 --> 00:42:08,040
Speaker 2: sleep rebuild your muscles. You know. A failure, I like

780
00:42:08,080 --> 00:42:09,759
Speaker 2: to look at it like, you know, I get it.

781
00:42:09,760 --> 00:42:11,959
Speaker 2: We're there to be successful in life, and I'm that's

782
00:42:11,960 --> 00:42:14,160
Speaker 2: my goal, but I have to go through these failures.

783
00:42:14,560 --> 00:42:15,040
Speaker 2: It's true.

784
00:42:15,760 --> 00:42:19,440
Speaker 3: Yeah, better we all do without failure, because without failure,

785
00:42:19,480 --> 00:42:23,799
Speaker 3: you can't learn. You know, if you were successful your

786
00:42:23,840 --> 00:42:28,640
Speaker 3: whole life. And look for me through my entire elementary school,

787
00:42:28,640 --> 00:42:32,000
Speaker 3: through high school, through even I would say parts of

788
00:42:32,440 --> 00:42:37,480
Speaker 3: training and my original intel course I skated through really

789
00:42:38,160 --> 00:42:42,160
Speaker 3: bare bone, bare minimum. Just do enough to accomplish it,

790
00:42:42,840 --> 00:42:47,600
Speaker 3: don't fail, just get through it. And what I especially

791
00:42:47,640 --> 00:42:50,480
Speaker 3: getting into the soft community, the Special Operations Commune, what

792
00:42:50,520 --> 00:42:52,280
Speaker 3: I found out is you have to fail.

793
00:42:53,000 --> 00:42:53,920
Speaker 2: You cannot. You know.

794
00:42:53,960 --> 00:42:57,200
Speaker 3: They basically said, you cannot come to us without having

795
00:42:57,320 --> 00:43:01,120
Speaker 3: failed before, because if you fail with us, that's going

796
00:43:01,160 --> 00:43:05,239
Speaker 3: to be a problem that's going to cause death, destruction,

797
00:43:06,480 --> 00:43:11,120
Speaker 3: bad planning. So you know, I had to I had

798
00:43:11,480 --> 00:43:16,040
Speaker 3: to do uncomfortable things in order to get up to

799
00:43:16,120 --> 00:43:21,200
Speaker 3: that point and from so from that moment, once I

800
00:43:21,440 --> 00:43:26,959
Speaker 3: was doing support for those guys, my life changed dramatically

801
00:43:27,360 --> 00:43:30,760
Speaker 3: and I'm still to this day doing things that are failures.

802
00:43:30,800 --> 00:43:32,920
Speaker 3: When I started all of this, I thought I was

803
00:43:32,920 --> 00:43:38,239
Speaker 3: starting a company to do you know, travel safety reports

804
00:43:38,280 --> 00:43:41,120
Speaker 3: for Fortune five hundred companies. That was the plan, that

805
00:43:41,239 --> 00:43:45,240
Speaker 3: was the goal. And then that was April of twenty twenty,

806
00:43:46,000 --> 00:43:50,120
Speaker 3: so everything shut down, So I have no business anymore.

807
00:43:50,680 --> 00:43:53,560
Speaker 3: There's no one's traveling, So what am I going to do?

808
00:43:53,920 --> 00:43:58,040
Speaker 3: I had to reframe my mind and through that year

809
00:43:58,560 --> 00:44:03,440
Speaker 3: basically that we spent just at home doing work from

810
00:44:03,520 --> 00:44:07,200
Speaker 3: home and watching Netflix and all that kind of stuff,

811
00:44:07,239 --> 00:44:12,480
Speaker 3: and then seeing all of social media just you know,

812
00:44:12,560 --> 00:44:15,879
Speaker 3: both sides of a disinformation, misinformation coming from all over

813
00:44:15,880 --> 00:44:18,719
Speaker 3: the place, and people are just bickering and arguing, but

814
00:44:18,719 --> 00:44:21,719
Speaker 3: they're not getting to the source of what's actually happening

815
00:44:22,080 --> 00:44:26,320
Speaker 3: to understand the implications of it on a personal level.

816
00:44:26,800 --> 00:44:29,719
Speaker 3: That's where it changed, and I said, hey, look, I'm

817
00:44:29,800 --> 00:44:35,480
Speaker 3: identifying these things that are starting to happen. January sixth

818
00:44:35,640 --> 00:44:39,480
Speaker 3: is one thing. In twenty twenty one, December of twenty twenty,

819
00:44:39,520 --> 00:44:44,480
Speaker 3: I was already by doing open source identifying certain sects

820
00:44:45,239 --> 00:44:50,160
Speaker 3: that we're planning something. The mayor of DC came out

821
00:44:50,239 --> 00:44:53,280
Speaker 3: and said something is being planned. We don't think it's violent,

822
00:44:53,760 --> 00:44:56,799
Speaker 3: but be on the lookout, and so I had sent

823
00:44:56,960 --> 00:44:59,440
Speaker 3: We were in a group with just other Intel guys,

824
00:44:59,440 --> 00:45:01,880
Speaker 3: and so I started talking about it. And then January

825
00:45:01,880 --> 00:45:05,239
Speaker 3: sixth comes and there's the rallies and then they start

826
00:45:05,400 --> 00:45:08,440
Speaker 3: the march to the US Capitol and enter the US Capitol.

827
00:45:08,840 --> 00:45:15,040
Speaker 3: You know, if you had asked some unbiased Intel analysts,

828
00:45:15,120 --> 00:45:17,439
Speaker 3: maybe they would have said, hey, maybe you should get

829
00:45:17,480 --> 00:45:21,080
Speaker 3: some more security. It probably won't be violent. But what's

830
00:45:21,160 --> 00:45:25,200
Speaker 3: the problem in actually, you know, being prepared, being prepared

831
00:45:25,239 --> 00:45:28,840
Speaker 3: for it, take it. And so so that happened. I

832
00:45:28,880 --> 00:45:32,040
Speaker 3: will say DC was not prepared for it. They didn't

833
00:45:32,120 --> 00:45:36,480
Speaker 3: have enough capitol police there. Yeah, they probably should have

834
00:45:37,160 --> 00:45:41,000
Speaker 3: taken the National Guard and posted them just to kind

835
00:45:41,040 --> 00:45:43,839
Speaker 3: of have because sometimes when you talk about deterrence, that's

836
00:45:43,840 --> 00:45:45,319
Speaker 3: what you want to do. You want to deter it.

837
00:45:45,400 --> 00:45:50,399
Speaker 3: Sometimes showing might deters a lot of that, and then

838
00:45:50,480 --> 00:45:53,640
Speaker 3: with with Ukraine in twenty twenty one or in twenty

839
00:45:53,680 --> 00:45:57,520
Speaker 3: twenty two. There was when I was, you know, November,

840
00:45:57,600 --> 00:46:02,400
Speaker 3: December or January off for that going. I was talking

841
00:46:02,440 --> 00:46:03,920
Speaker 3: a lot about it, and I said, hey, Putin is

842
00:46:03,960 --> 00:46:06,120
Speaker 3: going to do this, He's he's going to do it.

843
00:46:06,239 --> 00:46:06,759
Speaker 2: I did it.

844
00:46:06,960 --> 00:46:09,200
Speaker 3: I said it to the date because of what he

845
00:46:09,280 --> 00:46:13,920
Speaker 3: was doing talking to Gi before the Winter Olympics, and

846
00:46:13,960 --> 00:46:17,000
Speaker 3: that after the Winter Olympics he would have been given

847
00:46:17,040 --> 00:46:20,200
Speaker 3: the go ahead to invade. I said, it's going to happen.

848
00:46:20,239 --> 00:46:21,919
Speaker 3: And a lot of people said that I was being

849
00:46:22,239 --> 00:46:26,760
Speaker 3: either a warmonger or crazy or not understanding the facts,

850
00:46:26,800 --> 00:46:29,000
Speaker 3: and I had to keep going. I had to stay.

851
00:46:29,160 --> 00:46:31,520
Speaker 3: You know, I was getting text messages saying I really

852
00:46:31,600 --> 00:46:33,080
Speaker 3: don't think this is going to happen. That was the

853
00:46:33,160 --> 00:46:36,319
Speaker 3: day before the invasion. So I really don't hope you're

854
00:46:36,440 --> 00:46:38,120
Speaker 3: I hope you're wrong on this, which I said, I

855
00:46:38,160 --> 00:46:42,480
Speaker 3: hope I'm wrong too, But be prepared, be prepared for that.

856
00:46:42,840 --> 00:46:45,759
Speaker 3: And that is what I'm trying to get out into

857
00:46:45,840 --> 00:46:49,279
Speaker 3: the ether. I guess to whoever would listen, is you've

858
00:46:49,320 --> 00:46:54,080
Speaker 3: got to understand these geopolitical problems, these geopolitical situations because

859
00:46:54,120 --> 00:46:57,480
Speaker 3: it is, it affects you, It is going to affect you.

860
00:46:58,160 --> 00:47:00,520
Speaker 3: We talked about World War three a lot, and it

861
00:47:00,560 --> 00:47:02,960
Speaker 3: hasn't happened yet. Are we on the cusp of it?

862
00:47:03,280 --> 00:47:06,160
Speaker 3: I think every day we become closer to World War

863
00:47:06,200 --> 00:47:10,160
Speaker 3: three just because of how our politics and the global

864
00:47:10,760 --> 00:47:14,640
Speaker 3: sphere has become where we're just so angry with each other.

865
00:47:15,400 --> 00:47:18,279
Speaker 3: But it's not there yet. And a good way to

866
00:47:18,320 --> 00:47:21,120
Speaker 3: deter that is to show might. So you know, d

867
00:47:21,239 --> 00:47:26,279
Speaker 3: od US military continue to expand and and spend on

868
00:47:26,480 --> 00:47:31,080
Speaker 3: quality equipment and things that the war fighter needs as

869
00:47:31,080 --> 00:47:36,000
Speaker 3: a deterrence. And for people with not in the military,

870
00:47:36,120 --> 00:47:38,920
Speaker 3: just your every day Joe, it's going to affect you

871
00:47:38,960 --> 00:47:42,000
Speaker 3: if something happened. So the war in Ukraine has affected

872
00:47:42,000 --> 00:47:46,640
Speaker 3: your pocketbooks, The war in Ukraine has made it less

873
00:47:46,719 --> 00:47:50,600
Speaker 3: has made some foods less accessible to you here in

874
00:47:51,200 --> 00:47:55,279
Speaker 3: whether you're in Montana or La, it's affecting you. And

875
00:47:55,320 --> 00:47:58,719
Speaker 3: so there's something So so Mike Baker does the he's

876
00:47:58,760 --> 00:48:02,239
Speaker 3: now doing the Daily the President's Dately Brief, and in

877
00:48:02,360 --> 00:48:04,960
Speaker 3: his intro he said something that really caught me that

878
00:48:04,960 --> 00:48:07,919
Speaker 3: that is something that I understood, is that he who

879
00:48:08,000 --> 00:48:13,080
Speaker 3: holds the best and most accurate information holds the key

880
00:48:13,160 --> 00:48:17,719
Speaker 3: to success. So if you have good, accurate information, you

881
00:48:17,840 --> 00:48:24,800
Speaker 3: have the ability to improve your life even when disasters happen.

882
00:48:25,560 --> 00:48:29,960
Speaker 3: And that goes just across the board. Yeah, watch out

883
00:48:29,960 --> 00:48:31,279
Speaker 3: for speed bumps along the way.

884
00:48:31,480 --> 00:48:33,239
Speaker 2: You know there's gonna be there. There's going to be

885
00:48:33,239 --> 00:48:34,920
Speaker 2: the off ramp that you're taking that you're supposed to

886
00:48:34,960 --> 00:48:37,960
Speaker 2: stay on this path. Like I'll be working diligently at

887
00:48:38,040 --> 00:48:40,040
Speaker 2: my job for my own company, and then all of

888
00:48:40,040 --> 00:48:42,040
Speaker 2: a sudden, I'll get on my phone and I'm looking

889
00:48:42,080 --> 00:48:44,719
Speaker 2: for emails and I get distracted and what I was

890
00:48:44,760 --> 00:48:47,319
Speaker 2: going to do five minutes ago, now I'm scrolling. I'm like,

891
00:48:47,360 --> 00:48:50,239
Speaker 2: you gotta watch Yeah, yes, watch out for that. You

892
00:48:50,320 --> 00:48:53,040
Speaker 2: know I do too. I'm a victim of it.

893
00:48:54,000 --> 00:48:57,520
Speaker 3: Well, I mean we're addicted. Go back to the phone conversation.

894
00:48:57,640 --> 00:49:00,160
Speaker 3: If if you don't think that you are addicted to

895
00:49:00,200 --> 00:49:02,120
Speaker 3: your phone, there are some people who aren't. I'm very

896
00:49:02,120 --> 00:49:04,920
Speaker 3: impressed by people who still have a dumb phone, the

897
00:49:04,960 --> 00:49:08,719
Speaker 3: little flip phone. Yeah, but if you don't think you're

898
00:49:08,719 --> 00:49:11,240
Speaker 3: addicted to your phone, have somebody take your phone away

899
00:49:11,239 --> 00:49:15,080
Speaker 3: from you for twenty four hours and see what happens.

900
00:49:15,800 --> 00:49:16,399
Speaker 2: Oh you will.

901
00:49:16,719 --> 00:49:20,280
Speaker 3: You will begin to shake, as you know an addict

902
00:49:20,400 --> 00:49:22,880
Speaker 3: I do with that. Without there, you will continue to

903
00:49:22,920 --> 00:49:25,480
Speaker 3: look and try to check for your phone. I do

904
00:49:25,600 --> 00:49:29,000
Speaker 3: this daily. You put my phone upstairs because we're going

905
00:49:29,040 --> 00:49:30,600
Speaker 3: to watch a movie as a family. You got to

906
00:49:30,640 --> 00:49:33,600
Speaker 3: be with the family. Be in the moment, right and

907
00:49:33,600 --> 00:49:36,600
Speaker 3: and I will go and you'll see me tapping my

908
00:49:36,680 --> 00:49:39,680
Speaker 3: legs because where's my phone? Where did I put my phone?

909
00:49:39,760 --> 00:49:41,440
Speaker 3: I have to see it. I have to be I

910
00:49:41,480 --> 00:49:43,120
Speaker 3: can't be in this moment because I have to be

911
00:49:43,680 --> 00:49:47,800
Speaker 3: in this moment. And so how to I don't know

912
00:49:47,840 --> 00:49:48,360
Speaker 3: how to solve that.

913
00:49:48,760 --> 00:49:50,600
Speaker 2: Bro. There. I saw this guy the other day. I

914
00:49:50,600 --> 00:49:52,560
Speaker 2: was driving my jeep and it's I have a five

915
00:49:52,600 --> 00:49:54,799
Speaker 2: speed ninety three Wrangler, so I have to I can't

916
00:49:54,840 --> 00:49:57,759
Speaker 2: do nothing except drive because I'm shifting right. Yeah. So

917
00:49:57,920 --> 00:49:59,600
Speaker 2: I look over at this dune. He's like right next

918
00:49:59,640 --> 00:50:01,960
Speaker 2: to me. Tops off, I'm cruising to work. I look over.

919
00:50:02,000 --> 00:50:03,759
Speaker 2: I'm like, well, he's so close to my jeep. Bro.

920
00:50:04,040 --> 00:50:06,239
Speaker 2: And I look over and he's literally leading over his

921
00:50:06,280 --> 00:50:09,680
Speaker 2: steering wheel, both his hands on the fetching phone, tapping

922
00:50:09,719 --> 00:50:12,000
Speaker 2: with his thumbs like driving with his knee trying to

923
00:50:12,040 --> 00:50:14,719
Speaker 2: drive and I'm like, I honk my jeep horn met me,

924
00:50:14,880 --> 00:50:18,319
Speaker 2: and I'm like, bro, like bro, bro.

925
00:50:19,080 --> 00:50:23,239
Speaker 3: The majority of congestion here in the DC area, I

926
00:50:23,360 --> 00:50:27,040
Speaker 3: guarantee is based off of I watch people sitting at

927
00:50:27,040 --> 00:50:29,479
Speaker 3: a red light goat green, and they're on Facebook. They're

928
00:50:29,520 --> 00:50:31,520
Speaker 3: posting a picture on who.

929
00:50:32,400 --> 00:50:34,319
Speaker 2: And by the time they drive, and they've taken that

930
00:50:34,400 --> 00:50:37,560
Speaker 2: three extra seconds to realize that to drive, you've caused traffic.

931
00:50:38,080 --> 00:50:41,440
Speaker 3: Yes, it's incredibly frustrating.

932
00:50:41,920 --> 00:50:43,520
Speaker 2: And I also saw that out here in Utah. They

933
00:50:43,520 --> 00:50:45,719
Speaker 2: have like a semi truck that they I think they

934
00:50:45,719 --> 00:50:48,120
Speaker 2: probably impounded from some kind of deal or something, you know,

935
00:50:48,480 --> 00:50:51,319
Speaker 2: and the cops are driving it and so they roll

936
00:50:51,400 --> 00:50:54,080
Speaker 2: up next to semi truck drivers and they look over

937
00:50:54,200 --> 00:50:57,000
Speaker 2: at the same height and they see semi truck drivers

938
00:50:57,080 --> 00:51:01,800
Speaker 2: big rigs hauling huge loads text driving texting dude, yeah,

939
00:51:01,960 --> 00:51:04,759
Speaker 2: just like totally like everyone else, just like big load behind.

940
00:51:04,800 --> 00:51:06,839
Speaker 2: Imagine trying to stop and break.

941
00:51:06,840 --> 00:51:08,880
Speaker 3: Well, that's I mean, that's another thing. I mean, the

942
00:51:08,880 --> 00:51:14,239
Speaker 3: most accidents are are created, if not by with these

943
00:51:14,280 --> 00:51:16,960
Speaker 3: big rigs. And I mean we go back to the

944
00:51:16,960 --> 00:51:21,080
Speaker 3: AI conversation. I am ready for at least those, and

945
00:51:21,239 --> 00:51:23,800
Speaker 3: not to say anything to truckers, I think you should

946
00:51:23,800 --> 00:51:27,160
Speaker 3: still be seated in the truck while these are self

947
00:51:27,239 --> 00:51:30,880
Speaker 3: driving trucks. But there would be so much, so less

948
00:51:31,160 --> 00:51:34,879
Speaker 3: congestion if the trucks are just doing the right thing,

949
00:51:35,840 --> 00:51:38,640
Speaker 3: you know, not getting in the far left lane to

950
00:51:38,800 --> 00:51:42,319
Speaker 3: pass up a truck. But you're only going one mile

951
00:51:42,360 --> 00:51:45,560
Speaker 3: per hour faster than that truck, so it takes twenty

952
00:51:45,600 --> 00:51:48,000
Speaker 3: minutes to pass it, and now you've got a row

953
00:51:48,040 --> 00:51:52,640
Speaker 3: of cars behind you for miles, just because you decided

954
00:51:53,160 --> 00:51:55,319
Speaker 3: I'm going to be selfish and I've got to get

955
00:51:55,360 --> 00:51:58,120
Speaker 3: over because my day is more important than everyone else.

956
00:51:58,160 --> 00:52:00,160
Speaker 3: That's what I always think about, and looking at that

957
00:52:00,280 --> 00:52:03,840
Speaker 3: people do frustrating things on the road. You were saying

958
00:52:03,880 --> 00:52:06,840
Speaker 3: your life is more important than mine is because you

959
00:52:06,880 --> 00:52:08,960
Speaker 3: have to get to where you want to get to.

960
00:52:09,440 --> 00:52:12,000
Speaker 3: That's one of the things in my stoicism journey that

961
00:52:12,080 --> 00:52:14,840
Speaker 3: I have not dealt with. I could still get angry

962
00:52:15,840 --> 00:52:19,600
Speaker 3: about on a Yeah, right, I have yet to be

963
00:52:19,800 --> 00:52:23,239
Speaker 3: to d C. So one day I'll experience this. The

964
00:52:23,320 --> 00:52:26,200
Speaker 3: turn it's like popular what's it called the turn belt

965
00:52:26,880 --> 00:52:27,400
Speaker 3: or the.

966
00:52:27,400 --> 00:52:31,240
Speaker 2: Beltway, the beltway, Capital beltway. Yeah, the Capitol Beltway.

967
00:52:31,520 --> 00:52:33,960
Speaker 3: For the way was four ninety five Beltway, which goes

968
00:52:34,360 --> 00:52:37,800
Speaker 3: just all around d C. It does a complete loop

969
00:52:38,440 --> 00:52:41,200
Speaker 3: of DC. And if you think about it, now, DC

970
00:52:41,320 --> 00:52:45,759
Speaker 3: has about seven hundred and thirty thousand people within its population.

971
00:52:46,360 --> 00:52:49,240
Speaker 3: But when you take in the DMV, the DC, Maryland,

972
00:52:49,320 --> 00:52:53,440
Speaker 3: Virginia sort of what we call the National Capital region

973
00:52:53,560 --> 00:52:56,040
Speaker 3: where you got the Pentagon and that kind of stuff

974
00:52:56,680 --> 00:52:59,880
Speaker 3: you're talking about, and you're putting in I want to say,

975
00:53:00,040 --> 00:53:04,560
Speaker 3: two to three million people. So this small little area

976
00:53:05,000 --> 00:53:07,839
Speaker 3: has seven hundred and fifty thousand, but within that you

977
00:53:07,880 --> 00:53:10,919
Speaker 3: branch out just two to three miles and you're talking

978
00:53:10,960 --> 00:53:14,720
Speaker 3: about three million people all going to the same place,

979
00:53:15,840 --> 00:53:16,520
Speaker 3: going to work.

980
00:53:16,960 --> 00:53:20,560
Speaker 2: Take on to one exit. Yeah, jeez. If everybody works

981
00:53:20,560 --> 00:53:22,040
Speaker 2: with the Pentagon, they got to get to the Pentagon,

982
00:53:22,160 --> 00:53:26,400
Speaker 2: so expect that delay, you know. And yeah, geez cheese,

983
00:53:26,680 --> 00:53:29,160
Speaker 2: that's crazy. Yeah, I get that. A lot of people

984
00:53:29,160 --> 00:53:31,680
Speaker 2: going in there. There's a lot going on every Basically,

985
00:53:31,760 --> 00:53:34,960
Speaker 2: the Beltway is just your commute off wrap probably to

986
00:53:34,960 --> 00:53:35,799
Speaker 2: all these different.

987
00:53:35,640 --> 00:53:38,920
Speaker 3: Yeah, I mean, that's exactly what it is. You explained

988
00:53:38,960 --> 00:53:41,239
Speaker 3: it exactly right. I got to go all the way

989
00:53:41,239 --> 00:53:43,000
Speaker 3: around here because I had to take this exit which

990
00:53:43,040 --> 00:53:45,840
Speaker 3: is going to go to you know whatever, Get me

991
00:53:45,880 --> 00:53:48,640
Speaker 3: into DC, get me to the Pentagon, get me to Aberdeen,

992
00:53:49,080 --> 00:53:52,040
Speaker 3: any of those places. And yeah, So it's just it's congestion.

993
00:53:52,600 --> 00:53:55,279
Speaker 3: And it's something that I've been thinking about for a

994
00:53:55,280 --> 00:53:58,920
Speaker 3: while that you know, intelligence analysis could try to solve

995
00:53:59,400 --> 00:54:03,040
Speaker 3: this issue. I've written up the ladrafts of papers of

996
00:54:03,239 --> 00:54:05,319
Speaker 3: how to do that because it is one of the

997
00:54:05,360 --> 00:54:08,399
Speaker 3: things that you talk about. Things I'm passionate about. It's

998
00:54:08,440 --> 00:54:12,000
Speaker 3: fixing traffic here in DC to make everyone's life.

999
00:54:12,400 --> 00:54:17,280
Speaker 2: Just send that Pete Bootage's office. Yes, right away, Pete.

1000
00:54:17,320 --> 00:54:19,080
Speaker 2: If you're listening and you want to get on SOFTWAREP

1001
00:54:19,080 --> 00:54:23,080
Speaker 2: and talk about the traffic in DC, we'll three way

1002
00:54:23,120 --> 00:54:25,759
Speaker 2: it with curve it here. No problem, we'll talk about it.

1003
00:54:26,560 --> 00:54:29,000
Speaker 3: Let's just float some ideas. It doesn't hurt to float

1004
00:54:29,040 --> 00:54:29,719
Speaker 3: some ideas.

1005
00:54:29,880 --> 00:54:33,120
Speaker 2: That's exactly right, that's exactly right. It does not. No, hey,

1006
00:54:33,120 --> 00:54:35,160
Speaker 2: there's no wrong idea in a brainstorm session.

1007
00:54:35,760 --> 00:54:38,839
Speaker 3: There is whenever you're taking action. Now, Oh well, call

1008
00:54:38,920 --> 00:54:40,280
Speaker 3: those the good idea fairies.

1009
00:54:40,719 --> 00:54:43,360
Speaker 2: The good idea fairies. Huh jeez, Well, it was a

1010
00:54:43,360 --> 00:54:45,160
Speaker 2: good idea to have you on the show. How about that?

1011
00:54:45,680 --> 00:54:47,719
Speaker 3: Well, thank you so much for having me once again.

1012
00:54:47,800 --> 00:54:50,600
Speaker 3: Like I said, I'm just blessed to be here.

1013
00:54:50,760 --> 00:54:55,680
Speaker 2: Honestly, sure, same we both are, and I literally you

1014
00:54:55,719 --> 00:54:57,560
Speaker 2: wrote in I just want to let my listener know

1015
00:54:57,719 --> 00:55:00,600
Speaker 2: we've talked just like this. It's our first time having

1016
00:55:00,640 --> 00:55:03,040
Speaker 2: a conversation. And you can go out and have conversations

1017
00:55:03,040 --> 00:55:05,000
Speaker 2: with other people in this world and not getting each

1018
00:55:05,000 --> 00:55:08,440
Speaker 2: other's throats, right, So just try to be kind to

1019
00:55:08,480 --> 00:55:10,520
Speaker 2: one another and be the kindness you want to see

1020
00:55:10,520 --> 00:55:13,400
Speaker 2: in the world today. But upgrade yourself so she can always

1021
00:55:13,400 --> 00:55:14,360
Speaker 2: downgrade yourself.

1022
00:55:14,560 --> 00:55:17,200
Speaker 3: Hey, listen, we had we had the Trump conversation, and

1023
00:55:17,200 --> 00:55:19,759
Speaker 3: no one yelled, and no one was on one side

1024
00:55:19,840 --> 00:55:22,520
Speaker 3: or the other. So I think that that's good. That

1025
00:55:22,680 --> 00:55:25,720
Speaker 3: is uh, that's good for the future of this country.

1026
00:55:25,880 --> 00:55:29,400
Speaker 2: It's part of history. It's yes, you can't can't can't

1027
00:55:29,440 --> 00:55:31,719
Speaker 2: ban that book? Can you should? We should we ban

1028
00:55:31,880 --> 00:55:34,000
Speaker 2: that book? Huh that he existed in our lives or

1029
00:55:34,239 --> 00:55:36,879
Speaker 2: anybody else that as anybody has a problem with us

1030
00:55:36,920 --> 00:55:39,520
Speaker 2: ban that book. Nah. There's a lad lady down the

1031
00:55:39,520 --> 00:55:41,359
Speaker 2: street here, a nice old lady. She has a sign

1032
00:55:41,560 --> 00:55:43,440
Speaker 2: and it waves a flag in her little yard. It

1033
00:55:43,440 --> 00:55:45,240
Speaker 2: says read banned books.

1034
00:55:46,080 --> 00:55:48,800
Speaker 3: Yeah, I definitely agree with that. If if a book

1035
00:55:48,840 --> 00:55:51,960
Speaker 3: makes you uncomfortable, read it and then figure out why

1036
00:55:52,000 --> 00:55:56,720
Speaker 3: that makes you uncomfortable. Maybe it's because it goes against

1037
00:55:56,760 --> 00:55:59,880
Speaker 3: your worldview, and maybe that worldview is wrong, or may

1038
00:56:00,080 --> 00:56:02,560
Speaker 3: be it was right, and you just don't know enough

1039
00:56:02,719 --> 00:56:05,560
Speaker 3: to express how your worldview is is right, and the

1040
00:56:05,600 --> 00:56:09,279
Speaker 3: books isn't. So educate that's I'm all about. Read a book,

1041
00:56:09,880 --> 00:56:13,920
Speaker 3: read a book, get educated that. I continue to do that.

1042
00:56:13,960 --> 00:56:16,520
Speaker 3: I'm thirty nine years old. Now that might not sound

1043
00:56:16,560 --> 00:56:19,839
Speaker 3: old to some people, but listen, I continue to read

1044
00:56:19,960 --> 00:56:23,879
Speaker 3: things every day and learn new things. And so that's

1045
00:56:23,920 --> 00:56:26,680
Speaker 3: what I that's what I love about today, the information age.

1046
00:56:26,719 --> 00:56:29,200
Speaker 2: Here's my bookshelf behind me. Now, okay, there's my bookshelf.

1047
00:56:29,239 --> 00:56:31,279
Speaker 2: There's a couple of books right there for you, just

1048
00:56:31,320 --> 00:56:32,719
Speaker 2: so you know, just right.

1049
00:56:32,960 --> 00:56:35,960
Speaker 3: The I guess it's not good because I've got the uh,

1050
00:56:36,760 --> 00:56:38,200
Speaker 3: the liquor cabinet back there.

1051
00:56:38,360 --> 00:56:41,880
Speaker 2: So, oh, Japanese it's is that Japanese whiskey? What is

1052
00:56:41,920 --> 00:56:42,359
Speaker 2: that is that?

1053
00:56:42,440 --> 00:56:47,360
Speaker 3: Ah? I've got some gin I've got I have old

1054
00:56:47,400 --> 00:56:50,520
Speaker 3: Bay vodkas, So now you know I'm in the DC area.

1055
00:56:50,600 --> 00:56:57,360
Speaker 3: Is probably the only place you can find Old Bay, DC. Well, listen,

1056
00:56:57,480 --> 00:56:59,560
Speaker 3: I really appreciate you of being on the show. I'm

1057
00:56:59,560 --> 00:57:02,560
Speaker 3: going to play your show right now. It's a geopolitical podcast.

1058
00:57:02,760 --> 00:57:06,359
Speaker 3: It's called This Week Explained. It's found everywhere. I typed

1059
00:57:06,400 --> 00:57:08,720
Speaker 3: it in it was Apple everywhere that's found.

1060
00:57:08,920 --> 00:57:12,759
Speaker 2: Curvin A. Coin is his name, And you know, thanks

1061
00:57:12,760 --> 00:57:14,640
Speaker 2: for your service in the military. Thanks for coming on

1062
00:57:14,719 --> 00:57:17,880
Speaker 2: and talking about the political world theater that we live

1063
00:57:17,920 --> 00:57:18,320
Speaker 2: in today.

1064
00:57:18,760 --> 00:57:21,280
Speaker 3: Hey, thank you. Thank you for continuing to support us

1065
00:57:21,520 --> 00:57:26,360
Speaker 3: as as veterans and current military people. Your show is amazing.

1066
00:57:26,480 --> 00:57:28,400
Speaker 3: It's awesome what you guys are doing and getting those

1067
00:57:28,440 --> 00:57:30,240
Speaker 3: conversations out, So thank you so much.

1068
00:57:30,600 --> 00:57:32,720
Speaker 2: Well, thank you for that. And to our listener, if

1069
00:57:32,720 --> 00:57:34,240
Speaker 2: you have something that you want to say or you

1070
00:57:34,320 --> 00:57:36,200
Speaker 2: want to write in, hit us up, go through the

1071
00:57:36,240 --> 00:57:39,080
Speaker 2: contact us on soft reap dot com. Check out our

1072
00:57:39,120 --> 00:57:41,880
Speaker 2: merch check out the book club. And this is rad

1073
00:57:41,960 --> 00:57:42,760
Speaker 2: Say in peace.

1074
00:57:49,520 --> 00:57:52,000
Speaker 1: You've been listening to self reg Radia