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Speaker 1: Bulet Cap Podcast. We are in the building man with

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Speaker 1: my guy nineteen keys. Man.

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Speaker 2: It feels good to be better.

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Speaker 1: A very good day in La. By the way, Sorry,

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Speaker 1: you gotta do the white guy your white dude pound.

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Speaker 1: But yoh, thank you for coming back, brother, and thank

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Speaker 1: you for having me. How's everything been? Everything is great?

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Speaker 3: Yeah, I mean in despite of the world, you know,

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Speaker 3: shifting into a new world order.

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Speaker 1: Yeah. It's funny because I think the last time you

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Speaker 1: were here, it might have been like right around the

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Speaker 1: time Trump was getting in, I believe.

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Speaker 3: So I think it was like right beforehand, and we

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Speaker 3: was kind of just giving an analysis on everything.

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Speaker 1: Yeah, and like you know, I think like back then

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Speaker 1: there was like a very and I think like hindsight's

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Speaker 1: twenty twenty. And this is what I try to tell

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Speaker 1: people all the time, Like I think at that point

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Speaker 1: in time, like we had just watched uh genocide of

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Speaker 1: people happen on the watch of the left. Yeah, and

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Speaker 1: we watched like a democratic national convention happen without any

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Speaker 1: or to mention of like or really any sort of

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Speaker 1: empathy for what's going on over there. And you know,

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Speaker 1: we kind of saw Commala kind of tiptone around that

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Speaker 1: subject in a real serious way, and it kind of

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Speaker 1: felt like left or right were kind of fucked. But

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Speaker 1: now that we're, you know, a year and some change

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Speaker 1: into Trump's presidency, man, like you said, bro, it feels

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Speaker 1: like a year and a half is really this is

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Speaker 1: like the type of transit. I feel like this is

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Speaker 1: kind of like we're on the other side of COVID,

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Speaker 1: but in a different way, like where the world that

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Speaker 1: just never be the same.

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Speaker 3: We've been through a great transition already. It may not

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Speaker 3: even realize it. Just the way that we experience time

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Speaker 3: has changed in the profound way. Like over just think

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Speaker 3: about the week of Carmelo Anthony Verdict. Then you got

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Speaker 3: the FIFA World Cup, Then you got the NBA Championships

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Speaker 3: with the Knicks winning, right, and then you have the

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Speaker 3: SpaceX ipo, we have our first trillionaire, right, Like, there's

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Speaker 3: all of these things that converge that usually would be

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Speaker 3: one long news cycle, but instead these are just a

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Speaker 3: day of conversation, right and so like we at this

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Speaker 3: point now where they can literally get full disclosure on

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Speaker 3: aliens and we'll go about our day the next day.

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Speaker 1: Nothing sticks anymore. Nothing.

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Speaker 3: That's why attention is such a such a raw asset

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Speaker 3: that everybody wants because the moment you have it and

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Speaker 3: while you're holding its valuable, but then it dissipates and

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Speaker 3: it disappears, and you only got to find out amount

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Speaker 3: every single day. And that's why we have our first trillionaire.

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Speaker 1: Yeah, it's interesting because, like you said, like I think

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Speaker 1: that that change has benefited some of the elites in

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Speaker 1: the world because so much shit, the news cycle changes

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Speaker 1: so fast. It's almost like we were so drummed up

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Speaker 1: about the Epstein shit and then they wouldn't kidnap a

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Speaker 1: Dua Yeah, and then we were on that for a

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Speaker 1: few days. Yeah, and then the Maduro shit. It was

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Speaker 1: like the thing happens then the next and it's like, bro,

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Speaker 1: the fact that we still like, we kidnapped the president

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Speaker 1: of a foreign country and he's currently incarcerated in New

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Speaker 1: York and I don't think anybody in mainstream media has

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Speaker 1: talked about it. What's the last time we got an

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Speaker 1: update on his shit? None? But it's because who has

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Speaker 1: time to process?

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Speaker 2: Well.

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Speaker 3: We currently have a world of reaction instead of reflection.

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Speaker 3: Everybody reacts to videos, reacts to news. We don't reflect

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Speaker 3: on anything. There's no process no real critical analysis. And

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Speaker 3: then from there that means that all our conversations are shallow. Right,

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Speaker 3: when we have a society that can't properly process anything,

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Speaker 3: they're much easier to control because you're keeping them all

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Speaker 3: at this shallow point to where nothing matters to them.

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Speaker 3: There's no morals, right because we went through a deep

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Speaker 3: phase of demoralization, and therefore there's no rebellion that's going

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Speaker 3: to occur as well, Right, Like what would make American

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Speaker 3: people re bail against empire? Like what could they do

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Speaker 3: at this point?

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Speaker 1: Yeah, it's almost like we're kind of with open arms,

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Speaker 1: like ushering in our replacement. It's almost like when you

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Speaker 1: watch like the Hunger Games, which is obviously you know,

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Speaker 1: I think a lot I think a lot of the

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Speaker 1: Hollywood shit is is just preconditioning us for what's going

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Speaker 1: to be inevitable. But it's like, how does society get

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Speaker 1: to a point like that. It's like they damn, you

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Speaker 1: got it, they let it happen.

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Speaker 2: Well, America is the experiment that gets to that point.

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Speaker 3: If you look at Europe, right, Europe is a capitalist,

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Speaker 3: but they don't have any growth, they don't have any

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Speaker 3: economic growth. They watching and looking at America to see

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Speaker 3: what happens. Right, America is such a greedy place, and

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Speaker 3: we in lay stage capitalism where everything is a product.

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Speaker 3: Your attention is a product, your passion is a product,

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Speaker 3: your time is a product, your mind. Everything is being monetized, right,

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Speaker 3: and so it's now money of a meaning. And now

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Speaker 3: people are getting money, but then they have lives that

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Speaker 3: are meaningless. They don't know what they're doing it for.

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Speaker 3: While they're alive, what matters anymore?

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Speaker 1: Right?

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Speaker 2: And I think that that's.

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Speaker 3: Where we at to this point where as long as

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Speaker 3: there's a fiduciary duty that a person that is already

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Speaker 3: ahead of a trillion dollar company has to then grow

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Speaker 3: and scale past a trillion versus sustained right growth or

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Speaker 3: sustain you know, profits on where it already is. It's

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Speaker 3: always going to push profit over people. America is unsustainable

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Speaker 3: in its current trajectory because let's say, if space gets

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Speaker 3: to ten trillion, how many people got to die for

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Speaker 3: that to happen. Like, let's think about this. Elon Muss

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Speaker 3: is a trillionaire, right, which no one person should ever

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Speaker 3: have become a trillionaire. That means capitalist capitalism is past

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Speaker 3: anything that its initial stages ever thought it was going

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Speaker 3: to be even Rockefeller. I'm sure never thought he'd probably

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Speaker 3: see a trillionaire because that number shouldn't even exist. That

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Speaker 3: means that he is hoarding most of the world's wealth, right.

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Speaker 3: It was a position that came out, a statement that

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Speaker 3: came out and said that Jeff Bezo's wealth is closer

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Speaker 3: to yeah, I mean, the average citizen than it is

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Speaker 3: to Elon Musk, because at a trillion.

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Speaker 1: Dollars, that's crazy, it's ridiculous.

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Speaker 3: But then let's ask this question, if all of Elon

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Speaker 3: musk inventions and his companies that he had bought and

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Speaker 3: now he currently owned, if they disappeared.

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Speaker 1: How would it affect your life? Wouldn't it wouldn't.

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Speaker 3: Yeah, the man becomes a trillionaire and none of our

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Speaker 3: lives have become better because of it. You might like

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Speaker 3: a nice little Tesla car, but you can go get

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Speaker 3: some other card.

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Speaker 2: He did help pioneered the electric car industry, right.

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Speaker 1: But China's fucking miles right ahead of us in that way.

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Speaker 3: Now, and gas is still high as hill understand me,

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Speaker 3: like we have not. The average person can't say they

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Speaker 3: have had a positive impact on their lives. And if

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Speaker 3: Elon Musk did not exist. This trillionaire did not exist.

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Speaker 3: My life will be exactly the same, maybe better.

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Speaker 1: I think the same thing can go when it comes

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Speaker 1: to these data centers and these AI companies, like a

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Speaker 1: guy like Kevin O'Leary, And that's suation that just happened

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Speaker 1: in Utah, where you're like, like, if AI went away tomorrow,

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Speaker 1: none of our lives would really take a hit because

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Speaker 1: in terms of like normal Americans, most of us are

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Speaker 1: using AI for like just a new version of Google

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Speaker 1: or dumb meme.

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Speaker 3: Shit, yeah no, right now, the AI is just making

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Speaker 3: the rich richer.

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Speaker 1: And it's like a tool to just increase wealth.

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Speaker 3: Because if you already had these systems and you know

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Speaker 3: how they work, and you got SOPs for these systems,

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Speaker 3: and then you're looking at what they call a token ROI, right,

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Speaker 3: like how do you get return of investment from every

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Speaker 3: token that you're spending for every AI task that you

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Speaker 3: have in doing something?

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Speaker 1: Are you saving time?

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Speaker 2: Are you saving money?

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Speaker 1: Et cetera.

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Speaker 3: So if you start to take everything and you detail

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Speaker 3: it out and then you can say, okay, well this

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Speaker 3: is a system. Let's say we're talking about podcastsing and editing.

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Speaker 3: Somebody has to stitch together clips, somebody has to review them, right,

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Speaker 3: and then somebody has to cut up and then contextually

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Speaker 3: send you over those clips, and then that.

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Speaker 1: Has to be posted.

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Speaker 3: We're talking about time, you talking about energy, right, you're

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Speaker 3: talking about creativity. Well, if you can automate parts of

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Speaker 3: those tasks, how much money are you saving? How much

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Speaker 3: time are you saving? Then with that time save, what

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Speaker 3: are you doing with that gap? Now, let's say if

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Speaker 3: you automate that with a press of a button. Now

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Speaker 3: you can do that across one hundred pages. Right now,

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Speaker 3: Let's say that is still only costing you one hundred

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Speaker 3: to two hundred dollars a month, right, but it's allowing

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Speaker 3: you to make an additional twenty to two hundred.

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Speaker 2: Thousand dollars a month.

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Speaker 3: Right now, you can justify that spend. But the only

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Speaker 3: people that's truly doing that, it's a very small percentage

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Speaker 3: of people on try it.

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Speaker 1: It's very big minority that's to do that.

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Speaker 3: Most people don't have what they call AI fluency, like

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Speaker 3: the way that you're actually using AI, the way that

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Speaker 3: you're prompting it, the way that you're checking it, the

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Speaker 3: way that you're reviewing it. And then most people are

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Speaker 3: not checking to see if they're getting the most out

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Speaker 3: of it, right, So we're not trying when we look

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Speaker 3: at what AI is, I don't think that it shouldn't exist,

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Speaker 3: right because I think that the same thing with like

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Speaker 3: social media. It gives us the opportunity to level the

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Speaker 3: playing field if it was used by us correctly, right.

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Speaker 3: But if we're not owning, controlling mastering the models, AI

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Speaker 3: literacy becomes a new financial literacy, right. And with financial

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Speaker 3: literacy and a lack of financial literacy, we see the

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Speaker 3: economic devastation that it hasn't in our communities every single day, right,

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Speaker 3: Like the health and wellness are intrinsically connected. It's a

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Speaker 3: thing called poverty and douce stress syndrome, which is basically

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Speaker 3: pissed right, where when you don't have money and let's

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Speaker 3: say you get sick. Now, when you get sick, that's

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Speaker 3: going to stress you out more because you can't pay

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Speaker 3: the health bill, right, and so this then becomes this cycle.

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Speaker 1: It's the same thing with education.

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Speaker 3: And most of the time you get a low education,

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Speaker 3: it's because you're an environment that serves you education that

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Speaker 3: you don't even have an option to get a better one.

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Speaker 3: You can't afford the tutor, But with the AI, you

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Speaker 3: can start putting these things in place to start creating

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Speaker 3: an opera unity for people that normally would not be

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Speaker 3: able to afford a tutor based on their cognitive type

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Speaker 3: to be able to learn. Now, but does it really

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Speaker 3: matter if the whole world is going to change and

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Speaker 3: they're trying to figure out every single day how to

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Speaker 3: replace job, how to replace influencers, how to replace rappers

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Speaker 3: with AI? What is actually left after you get this

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Speaker 3: education and now you say I'm smarter because of it,

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Speaker 3: But the world has changed so much that it doesn't

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Speaker 3: even matter.

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Speaker 1: It doesn't have a place for you in it anymore, because.

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Speaker 2: You're preparing for a world that don't exist no more.

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Speaker 1: All right, another podcast brought to you by odd Socks.

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Speaker 1: I think it's interesting. I saw you say don't ever

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Speaker 1: use AI to replace your gifts exactly, and I think that,

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Speaker 1: like you said, in the same way financial literatary literacy,

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Speaker 1: it's I think purposefully not taught in public schools, to

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Speaker 1: be honest, which is I think interesting, But like it

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Speaker 1: is kind of like as a it's a world that's inevitable,

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Speaker 1: so you might as well learn it. You might as

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Speaker 1: well learn how to use claude. You might as well

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Speaker 1: learn how to because there's nothing like it's just it's

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Speaker 1: like how the Internet was, you know, thirty years ago.

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Speaker 1: It's like get on board or you know, get involved.

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Speaker 3: You know, it's the same thing with any particular process,

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Speaker 3: Like when you kind of the people that are against

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Speaker 3: a a lot of them don't understand it enough and

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Speaker 3: haven't done enough research to be effectively against it, right,

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Speaker 3: Because if you are illiterate in something, it's your ignorance, right,

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Speaker 3: that is your position.

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Speaker 2: But when you do it from a place that you knowledgeable,

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Speaker 2: now you can say, well, I.

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Speaker 3: Can participate in regulating it. I can participate in teaching

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Speaker 3: other people how to master it so that it doesn't

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Speaker 3: master them. Right, because the machines will control you if

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Speaker 3: you don't control them.

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Speaker 1: It's inevitable, and it's like almost like made for just

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Speaker 1: like a lot of things, like you said with the

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Speaker 1: with the pists syndrome, it's like if you are somebody

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Speaker 1: who could barely survive, you're taking public transit to work,

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Speaker 1: you're working two jobs. Yeah, you're worried about getting your

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Speaker 1: kids to school. You're worried about if they're at school

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Speaker 1: while you're at work.

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Speaker 2: Yeah, you're You're not worried about learning this shit, not

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Speaker 2: at all, And that's by design. You only ahead of

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Speaker 2: time too, you don't have the time to So it's

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Speaker 2: like those are the people.

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Speaker 1: And I do think that there's been.

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Speaker 3: There or you have not got to a point where

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Speaker 3: you're calm enough to manage your time right for those things,

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Speaker 3: because poverty also makes you blind to the future, because

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Speaker 3: all you can focus on is what's.

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Speaker 1: In front of you. Yeah, how do I get right

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Speaker 1: by next week? Exactly?

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Speaker 3: So like you in such a survival state that you

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Speaker 3: know poverty, I'll look at it as an illness, right,

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Speaker 3: Like I think that money can help remove the blockades

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Speaker 3: towards your happiness. I don't think it directly buys it,

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Speaker 3: but I know poverty never buys it.

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Speaker 1: Right, And would you say, because obviously there's certain economic

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Speaker 1: things that people can't immediately control, but do you think

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Speaker 1: that's more of also an outlook that you can control,

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Speaker 1: Like maybe you aren't in the most financially stood place,

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Speaker 1: but that that shouldn't reflect maybe your attitude.

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Speaker 2: Oh no, it definitely shouldn't.

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Speaker 1: You don't there was this something you can't control. There

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Speaker 1: was this interview with Oprah and.

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Speaker 3: It was one of these authors, this author I think

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Speaker 3: this might be the one who did Harry Potter or something,

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Speaker 3: but they made like a billion dollars problem. She said

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Speaker 3: over from Oprah and she was like, I still have

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Speaker 3: this fear that one day I lose it all and

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Speaker 3: go broke.

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Speaker 1: And she said do you do you get that as well?

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Speaker 3: And Oprah looked at her and say, no, I'll always

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Speaker 3: be rich, I'll never go broke.

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Speaker 1: Right.

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Speaker 3: And it's a shift where you got two different people, right,

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Speaker 3: one that don't feel completely like they deserve it, Like

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Speaker 3: your identity hasn't shifted to what you deserve and what

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Speaker 3: you have.

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Speaker 1: And it gets to a.

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Speaker 3: Point where you get to some money and you say

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Speaker 3: that no, I'm always going to be rich.

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Speaker 2: You make it your normal, right.

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Speaker 3: And the people that become rich is because they also

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Speaker 3: think that they deserve it. Think that you become delusion

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Speaker 3: on your mind starts to align your reality to your

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Speaker 3: own beliefs.

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Speaker 1: Right.

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Speaker 3: You talk to people like you deserve it, and those

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Speaker 3: people are infected with your belief and they think you

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Speaker 3: deserve it as well. You start to mimic the things

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Speaker 3: that rich people do, and you say that this is

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Speaker 3: my identity. So it doesn't matter how poor you are.

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Speaker 3: It really matters if you have a poor imagination and

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Speaker 3: a sense of self worth, right, because if you think

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Speaker 3: that you deserve to be poor, if you think that

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Speaker 3: you're supposed to stay in this survival state, right, then.

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Speaker 1: You will always stay there.

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Speaker 3: Now, you feel like a survivor with money, right, versus

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Speaker 3: I feel like I'm a rich man. But what does

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Speaker 3: that mean to you? Because if you connect money to

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Speaker 3: negative things right now, you're gonna make sure that you

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Speaker 3: don't have money because money is associated with something that

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Speaker 3: you don't think is good. Right, And so you actually

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Speaker 3: have to create your own self definitions and you have

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Speaker 3: to change your identity at every level of life, right,

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Speaker 3: Otherwise you're going to get what you think you deserve

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Speaker 3: subconsciously and you're going to get rid of it. You

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Speaker 3: with somebody who you think is better than you, you're

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Speaker 3: gonna be insecure and you're gonna end up fulfilling a

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Speaker 3: self fulfilling prophecy. And now you're like, man, I knew

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Speaker 3: she wasn't nothing, knew he wasn't nothing. No, that's because

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Speaker 3: you was thinking that way that you produce that right, Like,

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Speaker 3: whatever you get, you have to feel you deserve, and

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Speaker 3: I think that you know it goes beyond just like attitude.

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Speaker 3: But when we start talking about save yourself, you know

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Speaker 3: it's the way the where you can participate in redistributing

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Speaker 3: wealth towards you before the system is ever going to

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Speaker 3: do it, because we don't live in a socialist economy,

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Speaker 3: and maybe there could be a political movement that changes

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Speaker 3: that in the future, but the current reality that we

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Speaker 3: have is let me see things for as they are,

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Speaker 3: and let me see how I exist in this system

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Speaker 3: and what can I do to navigate to put myself

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Speaker 3: in position. Right, you have to be completely optimistic and

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Speaker 3: delusion or about who you are right and where you're going,

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Speaker 3: and you have to believe that every single day. It's

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Speaker 3: like being a character in the game, right, Like, do

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Speaker 3: I want to dress myself in poverty every single day?

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Speaker 3: Or do I want to dress myself as somebody from

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Speaker 3: the way I talk, the way I walk, the way

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Speaker 3: I act. And I ain't even talking about like somebody,

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Speaker 3: just like code switching and shit like that. No, it's

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Speaker 3: like when I'm walking in the room, I got a

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Speaker 3: level of confidence that even if I'm talking to a billionaire,

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Speaker 3: my perspective is value because this is something that he

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Speaker 3: can't by, right, So what is my value in that situation?

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Speaker 2: It's being me, right.

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Speaker 3: And then when you start using your imagination, never use

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Speaker 3: it to imagine something negative. So the most of the

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Speaker 3: reasons that we have a negative outlook on even technology

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Speaker 3: itself is because most people ain't grow up on Star Trek,

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Speaker 3: you understand me. Most people grow up on Terminator and

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Speaker 3: they grew up on matrix movies that give you a

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Speaker 3: negative outlook of the future. So right now, the technology

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Speaker 3: purpose it is and it goes to twofold, like you're

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Speaker 3: incentivized to make these horror movies because people want to watch.

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Speaker 2: The more people are.

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Speaker 1: Not watching, just tech optimistic views.

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Speaker 2: Of the future.

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Speaker 1: Everything is like the worst case scenario.

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Speaker 3: Yeah, like we grow poor. So I watched Star Trek

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Speaker 3: a lot. It's one of the only channels I had.

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Speaker 3: I was watching Star Trek Voyager and I realized, like,

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Speaker 3: on there they was creating just like three D food.

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Speaker 3: Right when I'm young, I thought it was the coolest

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Speaker 3: shit in the world. It looked like a microwave and

390
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Speaker 3: they can press anything they want and it'll just make it.

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Speaker 3: And when you pour and you hungry, Like, that's the

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Speaker 3: best invention on the planet. Now they're talking about creating

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Speaker 3: three D meat and food, and I think it's the

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Speaker 3: worst thing, right, And so there's something that happens along

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Speaker 3: that journey to where you think about the people who

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Speaker 3: own it. You think about Masanto, you think about greedy billionaires.

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Speaker 3: You no longer in throw out with technology like as

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Speaker 3: this thing that enhances life, right, because the reality of

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Speaker 3: it is, there are people starving every single day. So

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Speaker 3: when you see an advention, you would be like, oh,

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Speaker 3: that's gonna help save people. But no, now we start

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00:19:05,240 --> 00:19:08,360
Speaker 3: thinking about the political new ones, the lack of farmers, right,

403
00:19:08,400 --> 00:19:11,080
Speaker 3: the lack of ownership, the lack of good crops, right,

404
00:19:11,240 --> 00:19:15,840
Speaker 3: our even lack of agricultural intelligence whatsoever within our communities,

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Speaker 3: which is the whole other AI our lack of land ownership,

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Speaker 3: and then our food deserts that we have. Then we

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Speaker 3: talk about nutrition forever, chemicals within our blood and plastics.

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Speaker 3: So you go to a real dark place and all

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Speaker 3: of that is associated. So media, I think, is the

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Speaker 3: most powerful thing in this whole scenario. If you can

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Speaker 3: create movies and you have conversations and podcasts, that has

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Speaker 3: giving you a optimistic outlook of the future. That's what

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Speaker 3: your mind imagines. That imagination is fair so healthily that

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Speaker 3: you start falling in love with the future.

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Speaker 1: Most people ain't in love with the future now, they're

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Speaker 1: scared of it.

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Speaker 3: No, So therefore, if you about to go meet somebody

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Speaker 3: that you're afraid of, man you reject that idea, you're

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Speaker 3: gonna start trying to get there as much as possible.

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Speaker 1: So I'll call.

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Speaker 2: It like falling in love with.

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Speaker 3: The future, romanticizing it if you will. Right Like, when

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Speaker 3: you think about your life, are you in love with

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Speaker 3: next year? Are you in love with ten years out

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Speaker 3: from now? Or do you have a negative outlook based

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Speaker 3: on your reality that's existing.

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Speaker 1: Have you because I feel like the AI thing, like

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Speaker 1: you said, it's very I feel like there has been

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Speaker 1: like this billionaire class that has always kind of like

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Speaker 1: I mean, and I think every single party. You know,

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Speaker 1: obviously Kamala had more billionaires donated to her campaign than

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Speaker 1: Trump did. But it feels like this Trump administration has

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Speaker 1: kind of like ushered in like the tech oligarchs unapologetically. Yeah.

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Speaker 1: You know you think about like who's donated to this

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Speaker 1: fucking ballroom? And you know Peter Thiel funded jd Vance's

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Speaker 1: entire political career, he's in the White House. Do you

437
00:20:56,000 --> 00:21:00,400
Speaker 1: feel like like, because it is a if you pay

438
00:21:00,400 --> 00:21:02,760
Speaker 1: too much attention to the news cycle, you could trick

439
00:21:02,800 --> 00:21:07,480
Speaker 1: yourself into becoming like really hopeless. Yeah, what is what

440
00:21:07,560 --> 00:21:11,119
Speaker 1: are the ways you think that like AI could be applied,

441
00:21:11,240 --> 00:21:14,200
Speaker 1: Like if somebody is like, look, I'm struggling, I got

442
00:21:14,200 --> 00:21:18,359
Speaker 1: two or three jobs, what is the AI angle for

443
00:21:18,440 --> 00:21:21,520
Speaker 1: that person to maybe implement on a daily basis or

444
00:21:21,560 --> 00:21:24,600
Speaker 1: something that they could use a claud for or a

445
00:21:24,680 --> 00:21:27,199
Speaker 1: chat GPT for. I mean, I think you know, building

446
00:21:27,200 --> 00:21:28,920
Speaker 1: an app, if you got an idea, you can build

447
00:21:28,920 --> 00:21:31,040
Speaker 1: an app in two or three days, right, you know,

448
00:21:31,080 --> 00:21:33,719
Speaker 1: there's things you could do. But I think like it

449
00:21:33,760 --> 00:21:36,119
Speaker 1: does feel like we're in a place where if you

450
00:21:36,160 --> 00:21:38,480
Speaker 1: pay too much attention to the news, like you said earlier,

451
00:21:38,560 --> 00:21:41,280
Speaker 1: there's just so much shit every day that you could

452
00:21:41,280 --> 00:21:43,640
Speaker 1: either get lost in it or you could psych yourself out.

453
00:21:45,080 --> 00:21:49,399
Speaker 1: My radio show producer is like, mentally he gets in

454
00:21:49,520 --> 00:21:53,840
Speaker 1: dark places over the Trump shit. Yeah. But like for

455
00:21:53,920 --> 00:21:56,119
Speaker 1: those people that are like in that spot where like

456
00:21:56,119 --> 00:21:57,879
Speaker 1: they're like I just I mean, like you said, man,

457
00:21:57,880 --> 00:21:59,600
Speaker 1: they're just thinking about next week, They're not thinking about

458
00:21:59,640 --> 00:22:03,639
Speaker 1: next year. What are those kind of right spots that

459
00:22:03,640 --> 00:22:05,280
Speaker 1: they could use some of this tech for and and

460
00:22:05,800 --> 00:22:07,480
Speaker 1: what would be the advice you'd give them to kind

461
00:22:07,480 --> 00:22:10,520
Speaker 1: of change their outlook? Yeah, that's a good question.

462
00:22:10,960 --> 00:22:12,840
Speaker 3: I mean every day I see people in my own

463
00:22:12,840 --> 00:22:16,560
Speaker 3: family using it for different things. You know, my first

464
00:22:16,760 --> 00:22:19,960
Speaker 3: use case for AI is a thinking partner, right, and

465
00:22:20,320 --> 00:22:23,440
Speaker 3: essentially it's not replacing your thinking, right. I think when

466
00:22:23,480 --> 00:22:25,360
Speaker 3: most people are missing in their life is clarity.

467
00:22:25,920 --> 00:22:26,080
Speaker 1: Right.

468
00:22:26,160 --> 00:22:29,760
Speaker 3: They don't know themselves, they can't afford some person. And

469
00:22:29,800 --> 00:22:31,920
Speaker 3: I ain't talking about like even just a therapist. A

470
00:22:31,960 --> 00:22:33,760
Speaker 3: lot of people are using it for therapy. I wouldn't

471
00:22:33,760 --> 00:22:36,320
Speaker 3: suggest that I would use it for more so you know,

472
00:22:36,440 --> 00:22:39,480
Speaker 3: researching things so you can understand maybe what's happening with you,

473
00:22:39,600 --> 00:22:42,640
Speaker 3: but not just over self diagnosing yourself with all these

474
00:22:42,680 --> 00:22:45,280
Speaker 3: issues and problems, right, because I think then that becomes

475
00:22:45,280 --> 00:22:46,399
Speaker 3: a new identity trend.

476
00:22:46,520 --> 00:22:49,800
Speaker 1: And it feels like sometimes chat ept will kind of

477
00:22:49,880 --> 00:22:52,600
Speaker 1: lean ch rept is what they call a sick efent. Yeah,

478
00:22:52,640 --> 00:22:54,520
Speaker 1: it like leans into whatever they wanted to do.

479
00:22:54,600 --> 00:22:56,159
Speaker 2: It pitman, it's gonna tell you what you want to hear.

480
00:22:56,680 --> 00:22:58,480
Speaker 3: Understand me, so they can keep using you and you

481
00:22:58,520 --> 00:23:00,920
Speaker 3: can keep using it, and you get called in this rotation.

482
00:23:01,040 --> 00:23:03,879
Speaker 3: So that's why I say a thinking partner is number

483
00:23:03,880 --> 00:23:08,000
Speaker 3: one right where I want to use it to do research,

484
00:23:08,200 --> 00:23:10,040
Speaker 3: research at a level that you would have never been

485
00:23:10,080 --> 00:23:11,159
Speaker 3: able to get in your life.

486
00:23:11,600 --> 00:23:11,760
Speaker 1: Right.

487
00:23:11,840 --> 00:23:15,840
Speaker 3: So if your dad and you know you want to

488
00:23:15,880 --> 00:23:19,119
Speaker 3: start a company, right, what time do you have to

489
00:23:19,160 --> 00:23:21,359
Speaker 3: go do the proper research so that you have a

490
00:23:21,760 --> 00:23:24,840
Speaker 3: co founder that's helping you set up this business, right

491
00:23:24,920 --> 00:23:29,680
Speaker 3: Because you may not know how to.

492
00:23:28,080 --> 00:23:28,880
Speaker 1: Start a company.

493
00:23:28,960 --> 00:23:30,520
Speaker 3: You may not know how to do marketing, you may

494
00:23:30,560 --> 00:23:32,480
Speaker 3: not know who to do branding, you may not have

495
00:23:32,760 --> 00:23:33,200
Speaker 3: nothing to.

496
00:23:33,160 --> 00:23:36,720
Speaker 2: Do with design, taste, sourcing, et cetera.

497
00:23:37,160 --> 00:23:39,159
Speaker 3: Right, So I think The first use case is sitting

498
00:23:39,240 --> 00:23:42,000
Speaker 3: through and number one asking yourself why you want to

499
00:23:42,040 --> 00:23:45,320
Speaker 3: get this done? Right, and you will essentially do a

500
00:23:45,359 --> 00:23:47,560
Speaker 3: set up an interview with the AI. So you would

501
00:23:47,560 --> 00:23:49,639
Speaker 3: take a prompt and you'd be like, listen, here's what

502
00:23:49,680 --> 00:23:51,359
Speaker 3: I want to do. I want you to interview with

503
00:23:51,600 --> 00:23:53,800
Speaker 3: and take me through like one hundred different questions.

504
00:23:54,119 --> 00:23:55,440
Speaker 1: Right. So a lot of people that do.

505
00:23:55,400 --> 00:23:57,600
Speaker 3: This and they will find out they have a particular

506
00:23:57,640 --> 00:24:00,679
Speaker 3: skill that they could turn into a digital product. So

507
00:24:00,720 --> 00:24:03,479
Speaker 3: after you go through this interview, then you essentially are

508
00:24:03,520 --> 00:24:06,280
Speaker 3: creating an ebook or digital product and you start learning

509
00:24:06,280 --> 00:24:06,960
Speaker 3: your positioning.

510
00:24:07,359 --> 00:24:07,520
Speaker 1: Right.

511
00:24:07,560 --> 00:24:09,359
Speaker 3: So let's say somebody that's sitting here and there a

512
00:24:09,400 --> 00:24:11,399
Speaker 3: producer and they do a manager you got your editor

513
00:24:11,400 --> 00:24:13,639
Speaker 3: back here. He sits there and says, I want you

514
00:24:13,720 --> 00:24:15,800
Speaker 3: to take me through one hundred questions on my framework

515
00:24:15,840 --> 00:24:18,359
Speaker 3: on how I do editing. So now once you have

516
00:24:18,520 --> 00:24:20,560
Speaker 3: that down, you can then go on social media and

517
00:24:20,600 --> 00:24:23,119
Speaker 3: start teaching it. Once you start teaching it and you

518
00:24:23,200 --> 00:24:26,080
Speaker 3: have your framework, now people saying that, man, would you

519
00:24:26,119 --> 00:24:28,160
Speaker 3: teach me, you start picking up clients.

520
00:24:28,440 --> 00:24:28,600
Speaker 1: Right.

521
00:24:28,640 --> 00:24:30,600
Speaker 3: I've done that and I know other people who've done

522
00:24:30,600 --> 00:24:33,199
Speaker 3: this as well, where you're literally just learning.

523
00:24:33,240 --> 00:24:35,080
Speaker 1: What is your skill, what is your value?

524
00:24:35,080 --> 00:24:36,119
Speaker 2: What is your gift?

525
00:24:36,400 --> 00:24:38,840
Speaker 3: Then we start studying our cognitive types, like what is

526
00:24:38,840 --> 00:24:41,520
Speaker 3: the way that you think? I think the biggest process

527
00:24:41,560 --> 00:24:44,960
Speaker 3: that people have to goal with learning, not learning, but unlearning, right,

528
00:24:45,000 --> 00:24:51,320
Speaker 3: because in school you are taught to be somewhere yeah right,

529
00:24:52,359 --> 00:24:54,919
Speaker 3: unlearning is the key to the future. You understand me,

530
00:24:54,960 --> 00:24:58,240
Speaker 3: because that's how you evolve, Like when you are in school.

531
00:24:58,280 --> 00:25:03,119
Speaker 3: School started to especially during the industrial economies, to make people,

532
00:25:03,160 --> 00:25:05,639
Speaker 3: of course workers, and that work will meaning that I

533
00:25:05,760 --> 00:25:11,120
Speaker 3: need you to be a specialized skill alone this wheelhouse, right,

534
00:25:11,200 --> 00:25:13,639
Speaker 3: so you the person that packaged it. You twist the bottle,

535
00:25:14,040 --> 00:25:15,800
Speaker 3: you turn into this, you turn to this, you turn

536
00:25:15,840 --> 00:25:19,000
Speaker 3: to this. So each person became specialists yeah right, because

537
00:25:19,040 --> 00:25:21,119
Speaker 3: you know that you will be working in an industry

538
00:25:21,119 --> 00:25:21,840
Speaker 3: inside that kind.

539
00:25:21,960 --> 00:25:26,160
Speaker 1: Yeah, we were creating a class of manufacturers exactly factory workers.

540
00:25:26,200 --> 00:25:28,000
Speaker 1: We became factory thinkers.

541
00:25:28,600 --> 00:25:31,640
Speaker 3: Right, So we need a factory reset because what you're

542
00:25:31,680 --> 00:25:33,920
Speaker 3: trying to do now is get into creativity and think

543
00:25:34,000 --> 00:25:35,960
Speaker 3: like an entrepreneur. But you don't know how to manage

544
00:25:36,000 --> 00:25:39,119
Speaker 3: yourself because you were never taught that. The way that

545
00:25:39,160 --> 00:25:42,080
Speaker 3: you analyze patterns and things of that nature was valuable

546
00:25:42,320 --> 00:25:44,600
Speaker 3: because when you go into a school and a child

547
00:25:44,640 --> 00:25:47,720
Speaker 3: doesn't want to sit in a class because they don't

548
00:25:47,720 --> 00:25:49,840
Speaker 3: want to sit through an hour lesson, that's not a

549
00:25:49,880 --> 00:25:52,359
Speaker 3: bad thing. It just may not capture their interests or

550
00:25:52,400 --> 00:25:54,639
Speaker 3: it may not be their learning type right. They may

551
00:25:54,680 --> 00:25:57,080
Speaker 3: see a pattern and they may question a teacher, and

552
00:25:57,080 --> 00:25:58,920
Speaker 3: that teacher would be like, don't question it, just get

553
00:25:58,920 --> 00:26:01,520
Speaker 3: it done. But they may recognize patterns for things to

554
00:26:01,520 --> 00:26:02,200
Speaker 3: get done better.

555
00:26:02,240 --> 00:26:03,520
Speaker 1: They may be a systems thinker.

556
00:26:04,160 --> 00:26:06,240
Speaker 3: But when you go to a job, your manager don't

557
00:26:06,240 --> 00:26:08,119
Speaker 3: want to hear that shit. I need you to complete

558
00:26:08,119 --> 00:26:10,120
Speaker 3: a task within this time and then get it done.

559
00:26:10,760 --> 00:26:12,280
Speaker 3: And so now you have people.

560
00:26:12,000 --> 00:26:14,119
Speaker 2: That are waiting to be told what to do next.

561
00:26:14,240 --> 00:26:16,960
Speaker 3: So when they get on chat GPT, they're asking chat

562
00:26:16,960 --> 00:26:20,440
Speaker 3: GPT to tell them what to do. This becomes dangerous

563
00:26:20,480 --> 00:26:24,720
Speaker 3: because you then start offloading. It's called cognitive offloading, to

564
00:26:24,760 --> 00:26:27,480
Speaker 3: where you then start giving your mind away to chat

565
00:26:27,480 --> 00:26:30,400
Speaker 3: GPT and you stop developing that muscle to think for yourself.

566
00:26:30,800 --> 00:26:32,520
Speaker 2: So before I tell people to use.

567
00:26:32,440 --> 00:26:34,480
Speaker 3: AI, I want you to understand how it could also

568
00:26:34,640 --> 00:26:38,040
Speaker 3: use you and understand how sophisticated these tools are. So

569
00:26:38,200 --> 00:26:41,200
Speaker 3: use it as a thinking partner to where you're always

570
00:26:41,240 --> 00:26:44,720
Speaker 3: making the final decision. AI is just presenting you information

571
00:26:44,840 --> 00:26:47,400
Speaker 3: and data, like if people work for you, and now

572
00:26:47,480 --> 00:26:50,960
Speaker 3: you're reflecting on Okay, what's the best pathway ABC or

573
00:26:51,080 --> 00:26:53,240
Speaker 3: D Right, and so now you got to think of

574
00:26:53,280 --> 00:26:56,639
Speaker 3: it like you have world class experts inside Joe Pocket

575
00:26:56,640 --> 00:26:58,800
Speaker 3: at any single time for any dream that you want

576
00:26:58,840 --> 00:26:59,640
Speaker 3: to create in your life.

577
00:27:00,160 --> 00:27:01,320
Speaker 1: If you got a child and you.

578
00:27:01,240 --> 00:27:03,560
Speaker 3: Want to understand how to create a curriculum for them

579
00:27:03,880 --> 00:27:07,720
Speaker 3: so that you can teach them I don't know marketing,

580
00:27:07,880 --> 00:27:10,280
Speaker 3: if you will, right now, you can sit down with

581
00:27:10,359 --> 00:27:12,520
Speaker 3: that child and you can turn that into a story lesson,

582
00:27:12,640 --> 00:27:13,680
Speaker 3: you can turn that into.

583
00:27:13,520 --> 00:27:16,399
Speaker 2: A coloring book. Right, you can do whatever you want to.

584
00:27:16,600 --> 00:27:19,400
Speaker 3: I know people that's sat down and they created children's

585
00:27:19,400 --> 00:27:21,880
Speaker 3: books and then that became viral and then they made

586
00:27:21,920 --> 00:27:24,639
Speaker 3: ten twenty thirty thousand dollars from it, right with AI

587
00:27:24,720 --> 00:27:27,720
Speaker 3: companies even partnering with them. Right, So it's like it's

588
00:27:27,720 --> 00:27:31,240
Speaker 3: more so about what's your dream? What is something that

589
00:27:31,280 --> 00:27:33,440
Speaker 3: you want to get done? And a problem for a

590
00:27:33,480 --> 00:27:36,400
Speaker 3: lot of people, they stopped dreaming a long time ago, right,

591
00:27:36,520 --> 00:27:39,920
Speaker 3: like we start looking at reality. We stopped using our imagination,

592
00:27:40,560 --> 00:27:43,359
Speaker 3: so it shouldn't be I don't want to tell people

593
00:27:43,400 --> 00:27:45,120
Speaker 3: what to do, because when you tell them what to do,

594
00:27:45,200 --> 00:27:46,720
Speaker 3: they need you to tell them the next thing to

595
00:27:46,760 --> 00:27:49,760
Speaker 3: do as well, Right, like we do AI hackathions, But

596
00:27:49,800 --> 00:27:52,080
Speaker 3: we're essentially just showing you how to build out these

597
00:27:52,119 --> 00:27:54,400
Speaker 3: AI agents that exist that can help you build out

598
00:27:54,400 --> 00:27:54,879
Speaker 3: your dream.

599
00:27:55,320 --> 00:27:56,960
Speaker 2: But if you don't have no dream, then a AI

600
00:27:57,080 --> 00:27:57,639
Speaker 2: nothing for you.

601
00:27:58,200 --> 00:28:00,800
Speaker 3: Right, but use it as a research company so that

602
00:28:00,960 --> 00:28:02,440
Speaker 3: every single day you can go in there and you

603
00:28:02,480 --> 00:28:03,439
Speaker 3: can learn new things.

604
00:28:03,600 --> 00:28:05,639
Speaker 2: I use it to automate calendars. I use it to

605
00:28:05,680 --> 00:28:06,680
Speaker 2: automate my emails.

606
00:28:06,720 --> 00:28:10,760
Speaker 1: Every single time I use it, I have a clause

607
00:28:11,119 --> 00:28:14,640
Speaker 1: right invoices every month and I get it to where

608
00:28:15,440 --> 00:28:16,639
Speaker 1: every day I get a brief.

609
00:28:17,040 --> 00:28:19,119
Speaker 3: That brief is giving me the most interesting things that

610
00:28:19,119 --> 00:28:21,240
Speaker 3: I wanted telling me about. AI is showing me giving

611
00:28:21,280 --> 00:28:23,960
Speaker 3: me some information about the news, and may give me

612
00:28:24,000 --> 00:28:26,199
Speaker 3: some information about what's going on in the cosmos on

613
00:28:26,200 --> 00:28:28,560
Speaker 3: a daily basis. Right, it might let me know what's

614
00:28:28,560 --> 00:28:29,560
Speaker 3: going on in the stock market.

615
00:28:29,640 --> 00:28:30,600
Speaker 1: That just saved me time.

616
00:28:30,640 --> 00:28:32,960
Speaker 3: And I'm just telling it what sources that I think

617
00:28:32,960 --> 00:28:35,720
Speaker 3: are credible that I want to learn from the way

618
00:28:35,800 --> 00:28:38,040
Speaker 3: that I want to get my information given to me

619
00:28:38,160 --> 00:28:40,840
Speaker 3: why it's important, right, And then the more I'm feeding

620
00:28:40,840 --> 00:28:43,560
Speaker 3: it information on my brand, here's content ideas that I

621
00:28:43,560 --> 00:28:46,200
Speaker 3: think will be good based on your positioning right in

622
00:28:46,200 --> 00:28:48,440
Speaker 3: a way that you can frame it. And so now

623
00:28:48,520 --> 00:28:50,680
Speaker 3: every single day, instead of me having to think about

624
00:28:50,720 --> 00:28:52,800
Speaker 3: those things, I save time, I save money.

625
00:28:52,840 --> 00:28:56,320
Speaker 1: Do you have multiple AI agents that? Yes? Okay, so

626
00:28:56,440 --> 00:28:59,520
Speaker 1: because I haven't gotten to that point, but I see

627
00:28:59,600 --> 00:29:01,720
Speaker 1: like on X and shit, they'll be like a dude

628
00:29:01,760 --> 00:29:05,000
Speaker 1: with like three mac minis. Uh huh. Does each agent

629
00:29:05,080 --> 00:29:06,800
Speaker 1: need its own computer? No, not at all.

630
00:29:06,880 --> 00:29:09,520
Speaker 3: Okay, So you can operate the agents in the cloud

631
00:29:09,920 --> 00:29:11,200
Speaker 3: or you can operate them locally.

632
00:29:11,680 --> 00:29:11,880
Speaker 1: Right.

633
00:29:11,920 --> 00:29:13,600
Speaker 3: So I had this on I was out in Philly.

634
00:29:13,600 --> 00:29:15,560
Speaker 3: I was giving meat meals this breakdown because he been

635
00:29:15,600 --> 00:29:15,960
Speaker 3: being an.

636
00:29:15,920 --> 00:29:18,360
Speaker 1: AI I saw, I've ever seen this tweet? Yeah?

637
00:29:18,440 --> 00:29:20,680
Speaker 2: Yeah, So I sent him a couple too.

638
00:29:20,760 --> 00:29:22,440
Speaker 1: Man, I feel like he'd be getting a bad rap,

639
00:29:22,480 --> 00:29:23,800
Speaker 1: but he'd be saying some real shit.

640
00:29:23,880 --> 00:29:26,800
Speaker 3: Yeah, he had that tour, so he just gonna say

641
00:29:26,800 --> 00:29:29,520
Speaker 3: what's on his mind without filtering it, you feel me.

642
00:29:29,560 --> 00:29:32,280
Speaker 3: But we had a good conversation just about technology and

643
00:29:32,280 --> 00:29:34,720
Speaker 3: the coachure in the future, and one of the things

644
00:29:34,840 --> 00:29:37,360
Speaker 3: was using a local model. So most people don't know

645
00:29:37,440 --> 00:29:40,280
Speaker 3: is actually you can gain free AI access so you

646
00:29:40,320 --> 00:29:42,520
Speaker 3: don't have to go pay for chat, GPT or CLAW

647
00:29:42,960 --> 00:29:45,760
Speaker 3: right because most of the time China has open source models.

648
00:29:46,200 --> 00:29:47,480
Speaker 3: So open source meaning.

649
00:29:47,280 --> 00:29:48,160
Speaker 1: That the code is open.

650
00:29:48,240 --> 00:29:50,360
Speaker 3: You can literally take that and you can download it

651
00:29:50,440 --> 00:29:53,080
Speaker 3: on this part of your computer called the terminal. Right

652
00:29:53,240 --> 00:29:55,680
Speaker 3: inside the terminal is essentially like the back end of

653
00:29:55,720 --> 00:29:58,800
Speaker 3: your computer. You can upload that free software and now

654
00:29:58,880 --> 00:30:01,040
Speaker 3: you have a full AI that's only working for you.

655
00:30:01,120 --> 00:30:04,440
Speaker 3: It's customized for you. It's learning you over time. Now

656
00:30:04,440 --> 00:30:06,480
Speaker 3: they do have agents, so most of the ones that

657
00:30:06,520 --> 00:30:09,160
Speaker 3: people know about is or MISS and the other agent

658
00:30:09,240 --> 00:30:12,360
Speaker 3: is a CLAW agent. But then Claude has agents inside

659
00:30:12,400 --> 00:30:15,280
Speaker 3: of their premium tier model to where they will spawn

660
00:30:15,400 --> 00:30:16,720
Speaker 3: up multiple agents for you.

661
00:30:17,040 --> 00:30:18,720
Speaker 1: Yeah, it's like there's the code side.

662
00:30:18,840 --> 00:30:20,840
Speaker 3: It's all these different When that can do sales, right,

663
00:30:21,520 --> 00:30:23,600
Speaker 3: one that can do marketing, when they can do branding,

664
00:30:23,600 --> 00:30:25,880
Speaker 3: when they can do research, when that is about tastes,

665
00:30:25,920 --> 00:30:27,600
Speaker 3: when that can spawn up websites.

666
00:30:28,120 --> 00:30:29,280
Speaker 1: Right, then you can have.

667
00:30:29,240 --> 00:30:32,320
Speaker 3: One that's managing all of these as well, then one

668
00:30:32,320 --> 00:30:35,320
Speaker 3: that's checking their work, one that's making sure that there's

669
00:30:35,360 --> 00:30:39,240
Speaker 3: no security leaks in between everything that's auditing, Like you're

670
00:30:39,360 --> 00:30:41,920
Speaker 3: essentially saying what employees that I want to hire and

671
00:30:41,960 --> 00:30:44,600
Speaker 3: how do I turn these AI workers into my employees.

672
00:30:45,240 --> 00:30:47,840
Speaker 3: So instead of prompting, now they call it loops. So

673
00:30:47,880 --> 00:30:50,080
Speaker 3: when you do one prompt, how do you make that

674
00:30:50,160 --> 00:30:53,280
Speaker 3: happen every single day to where it turns into a loop. Right,

675
00:30:53,360 --> 00:30:55,920
Speaker 3: So therefore you're not going every day and prompting. Yes,

676
00:30:56,400 --> 00:30:58,640
Speaker 3: So think about the task that you do every day,

677
00:30:58,680 --> 00:31:00,720
Speaker 3: and I want you to write them down. Once you

678
00:31:00,760 --> 00:31:02,680
Speaker 3: write them down, I want you to then go into

679
00:31:02,720 --> 00:31:04,880
Speaker 3: the AI and then I want you to turn that

680
00:31:04,920 --> 00:31:06,600
Speaker 3: into a loop so that you don't have to do

681
00:31:06,680 --> 00:31:07,640
Speaker 3: that every single day.

682
00:31:07,840 --> 00:31:10,120
Speaker 1: So what would be practical terms.

683
00:31:10,440 --> 00:31:14,320
Speaker 2: Let's say someone has claud uh huh content So everybody

684
00:31:14,400 --> 00:31:15,480
Speaker 2: wants to be a content creator.

685
00:31:15,520 --> 00:31:18,200
Speaker 3: Everybody is a content creator. They have what they call

686
00:31:18,240 --> 00:31:20,520
Speaker 3: the MCP, which is basically.

687
00:31:20,200 --> 00:31:21,560
Speaker 1: By the way, is there one of those two that

688
00:31:21,600 --> 00:31:24,960
Speaker 1: you prefer to use? No, No, because they're always competing.

689
00:31:25,880 --> 00:31:29,600
Speaker 3: Claude just had a model called Mythos that they and

690
00:31:29,640 --> 00:31:32,120
Speaker 3: it was under the Mythos models one called fable that

691
00:31:32,160 --> 00:31:35,800
Speaker 3: you were able to use. But they discontinued it because

692
00:31:35,840 --> 00:31:37,960
Speaker 3: they said it was too powerful, and the government said

693
00:31:38,000 --> 00:31:41,720
Speaker 3: that they couldn't allow people to have it, foreign adversaries

694
00:31:41,800 --> 00:31:43,800
Speaker 3: and other people to have it. And there's a lot

695
00:31:43,800 --> 00:31:45,160
Speaker 3: that goes on into that side the way.

696
00:31:45,240 --> 00:31:49,280
Speaker 1: Kind of like the only semi ethical thing I've seen

697
00:31:49,280 --> 00:31:53,040
Speaker 1: an AI company do was anthropics say nah, yeah, But

698
00:31:53,120 --> 00:31:54,000
Speaker 1: even then, it's like.

699
00:31:56,080 --> 00:31:58,320
Speaker 3: Some of this stuff, man, it's very interesting because I

700
00:31:58,320 --> 00:31:59,920
Speaker 3: think they've building up a lot of myth the lord

701
00:32:00,040 --> 00:32:02,239
Speaker 3: around it. And I always think every time I get

702
00:32:02,280 --> 00:32:03,960
Speaker 3: a new model, I always think it's the old model

703
00:32:03,960 --> 00:32:04,520
Speaker 3: in the future.

704
00:32:04,680 --> 00:32:06,880
Speaker 1: So you okay, So it doesn't matter if you use

705
00:32:06,960 --> 00:32:07,960
Speaker 1: chatgypt Claude.

706
00:32:11,080 --> 00:32:13,800
Speaker 3: Now, some people will say that Claude has less footprint

707
00:32:13,800 --> 00:32:16,640
Speaker 3: and a little more ethical right in their use. But

708
00:32:16,680 --> 00:32:20,239
Speaker 3: if you're talking about effectiveness, you have Codex, which is

709
00:32:21,000 --> 00:32:23,440
Speaker 3: chatgybt's model for coding. So if you want to do

710
00:32:23,520 --> 00:32:26,560
Speaker 3: vibe coding to where you just giving it English language

711
00:32:26,560 --> 00:32:28,080
Speaker 3: and you're telling it what to build, it will go

712
00:32:28,120 --> 00:32:31,240
Speaker 3: through that full process and building out an application, building

713
00:32:31,280 --> 00:32:36,120
Speaker 3: out a website, helping you do research, crediting images, videos.

714
00:32:35,600 --> 00:32:36,120
Speaker 1: Et cetera.

715
00:32:36,360 --> 00:32:38,960
Speaker 3: Right, you can edit inside claud as well. Yesterday I

716
00:32:39,040 --> 00:32:41,400
Speaker 3: just did a really good hookup where they have something

717
00:32:41,440 --> 00:32:44,160
Speaker 3: called Remotion. You can take those clips and you can

718
00:32:44,320 --> 00:32:48,920
Speaker 3: edit clips inside Remotion, right, which clips like clip like this?

719
00:32:50,160 --> 00:32:53,920
Speaker 3: Dast Yeah, you can upload those clips inside Remotion. There's

720
00:32:53,960 --> 00:32:56,719
Speaker 3: a couple other connectors on there that you can put in.

721
00:32:56,760 --> 00:32:58,600
Speaker 3: But once you have it set up, and I'll give

722
00:32:58,640 --> 00:33:00,800
Speaker 3: you the prompt. Once you have it set up, you

723
00:33:00,840 --> 00:33:04,120
Speaker 3: can actually have the claud and you'll put it all

724
00:33:04,160 --> 00:33:05,760
Speaker 3: the way on Max. And when you should put it

725
00:33:05,800 --> 00:33:08,240
Speaker 3: on Max, I forget what it's called, but they actually

726
00:33:08,320 --> 00:33:11,320
Speaker 3: spawn multiple agents that's working on it at once. So

727
00:33:11,520 --> 00:33:13,560
Speaker 3: what this means is is that let's say you want

728
00:33:13,560 --> 00:33:16,120
Speaker 3: it to be your video editor, right, what it does

729
00:33:16,240 --> 00:33:18,280
Speaker 3: is it'll go in there and instead of one agent

730
00:33:18,360 --> 00:33:20,640
Speaker 3: working on it on behind the scenes, it might have

731
00:33:20,640 --> 00:33:23,280
Speaker 3: one hundred agents working on multiple tasks, all that wants

732
00:33:23,280 --> 00:33:26,040
Speaker 3: to get it done faster. One might be checking the code,

733
00:33:26,360 --> 00:33:28,640
Speaker 3: one might be checking the link that you just sent,

734
00:33:28,760 --> 00:33:30,920
Speaker 3: one might be actually doing the code and making sure

735
00:33:30,960 --> 00:33:33,360
Speaker 3: it works. One might be running a security on it.

736
00:33:33,480 --> 00:33:36,920
Speaker 3: All these are happening simultaneous, right. But this is in

737
00:33:37,000 --> 00:33:40,160
Speaker 3: the claw like max plan that you get to simplify

738
00:33:40,200 --> 00:33:41,720
Speaker 3: it though, it's just saying that you get it to

739
00:33:41,760 --> 00:33:44,320
Speaker 3: a point where you can just upload a video and say,

740
00:33:44,360 --> 00:33:45,920
Speaker 3: bring me out some of the most viral clips and

741
00:33:45,960 --> 00:33:48,000
Speaker 3: you'll get it done, just like these AI apps that's

742
00:33:48,040 --> 00:33:48,520
Speaker 3: doing it for you.

743
00:33:48,640 --> 00:33:51,560
Speaker 1: Yeah, I've used the Opus clip and it's still very imperfect.

744
00:33:51,920 --> 00:33:54,200
Speaker 3: Yeah, because you really want to get it to the

745
00:33:54,240 --> 00:33:56,680
Speaker 3: point where like, what's your framework for finding clips in

746
00:33:56,680 --> 00:33:57,360
Speaker 3: the first place.

747
00:33:57,480 --> 00:34:00,280
Speaker 1: Yeah, I think I have my guy and I just

748
00:34:00,280 --> 00:34:02,959
Speaker 1: trust my guy cook and he just chops everything up.

749
00:34:03,000 --> 00:34:05,600
Speaker 1: And there's just something about having a human touching. The

750
00:34:05,720 --> 00:34:07,680
Speaker 1: human touch always go be there.

751
00:34:07,720 --> 00:34:10,759
Speaker 3: That's in a review style when it comes to the editor, Like,

752
00:34:10,920 --> 00:34:12,839
Speaker 3: I'll sit with a team and I was training him

753
00:34:12,920 --> 00:34:13,560
Speaker 3: yesterday on this.

754
00:34:13,600 --> 00:34:14,239
Speaker 1: It's more so.

755
00:34:14,239 --> 00:34:17,520
Speaker 3: About them being able to get it done faster and

756
00:34:17,560 --> 00:34:20,719
Speaker 3: get it done more efficiently. Like so, if it takes you,

757
00:34:20,719 --> 00:34:23,319
Speaker 3: you know, three hours to get something done, now, how

758
00:34:23,320 --> 00:34:25,399
Speaker 3: can we figure out to cut that down into one hour?

759
00:34:25,800 --> 00:34:29,240
Speaker 3: Now you can spend more time on a creative right, because.

760
00:34:29,280 --> 00:34:31,759
Speaker 1: Now you can put more flair into division, right, more

761
00:34:32,040 --> 00:34:34,719
Speaker 1: exactly as opposed to okay, I need ten clips. Well,

762
00:34:34,760 --> 00:34:35,520
Speaker 1: what if you.

763
00:34:35,480 --> 00:34:37,480
Speaker 3: Know I'm trying to get you to stop doing machine

764
00:34:37,560 --> 00:34:38,279
Speaker 3: like tasks.

765
00:34:38,400 --> 00:34:41,480
Speaker 1: Because the AI can technically clip your shit out, or

766
00:34:41,520 --> 00:34:44,800
Speaker 1: at least give you an idea of what could be clipped.

767
00:34:45,560 --> 00:34:47,319
Speaker 1: And then you could go and you know, well, you

768
00:34:47,320 --> 00:34:48,240
Speaker 1: could use dscript.

769
00:34:48,280 --> 00:34:51,360
Speaker 3: Dscript have an MCP, which is basically a connector to

770
00:34:51,520 --> 00:34:54,600
Speaker 3: whatever ar service you use it, and then from there

771
00:34:54,680 --> 00:34:57,720
Speaker 3: dscript will edit your clips out. So you say, listen,

772
00:34:58,760 --> 00:35:00,920
Speaker 3: give me all the clips. When Ninete Keys was talking

773
00:35:00,920 --> 00:35:03,640
Speaker 3: about AI, and then in the first eight words of

774
00:35:03,680 --> 00:35:07,799
Speaker 3: every sentence he was talking about described exactly the next sentence, right,

775
00:35:08,080 --> 00:35:10,480
Speaker 3: So therefore it'll go in there, find those clips and

776
00:35:10,480 --> 00:35:13,200
Speaker 3: tell you why. Now from there you can actually change

777
00:35:13,200 --> 00:35:15,160
Speaker 3: which models you're using, so you might want to put

778
00:35:15,160 --> 00:35:18,239
Speaker 3: it on Claude Opus four point eight, which is a

779
00:35:18,280 --> 00:35:21,440
Speaker 3: stronger model that has thinking, so it has a logic

780
00:35:21,480 --> 00:35:24,000
Speaker 3: of why it's doing it. It's not just guessing, and

781
00:35:24,040 --> 00:35:26,799
Speaker 3: you can actually look at the logic and why it's

782
00:35:26,880 --> 00:35:29,640
Speaker 3: choosing this clip. And let's say once you read that

783
00:35:30,080 --> 00:35:32,520
Speaker 3: and you're like, okay, y'all pick this clip because.

784
00:35:32,320 --> 00:35:33,520
Speaker 1: You thought it was gonna be viral.

785
00:35:33,840 --> 00:35:36,040
Speaker 3: But then you go in there and give it your

786
00:35:36,080 --> 00:35:38,160
Speaker 3: reason and on why that wasn't a good clip. So

787
00:35:38,200 --> 00:35:42,120
Speaker 3: therefore you're training it to become better. So that yeah,

788
00:35:42,160 --> 00:35:44,239
Speaker 3: so now when you drop an hour video in there,

789
00:35:44,880 --> 00:35:48,080
Speaker 3: and if you could set up a you set up

790
00:35:48,120 --> 00:35:51,240
Speaker 3: a workflow to where it goes in there. It stitches,

791
00:35:51,320 --> 00:35:54,960
Speaker 3: it reviews, it color grades, it checks the sound audio.

792
00:35:55,480 --> 00:35:56,880
Speaker 1: Right then it pulls you a clip.

793
00:35:56,920 --> 00:35:58,719
Speaker 3: You might get to a point where you take raw

794
00:35:58,800 --> 00:36:02,279
Speaker 3: video soon as it done, lines up the audio with

795
00:36:02,440 --> 00:36:04,839
Speaker 3: the video, and then create you a clip within an hour.

796
00:36:05,360 --> 00:36:08,320
Speaker 3: Right that process sometimes when an editor can take days

797
00:36:08,360 --> 00:36:09,320
Speaker 3: depending on their workload.

798
00:36:09,360 --> 00:36:11,080
Speaker 2: That they working individually just for you.

799
00:36:11,719 --> 00:36:11,879
Speaker 1: Right.

800
00:36:11,920 --> 00:36:14,560
Speaker 3: So, when we start talking about content, if you using

801
00:36:14,640 --> 00:36:19,239
Speaker 3: something like Higgs Field, which they have something called supercomputer,

802
00:36:19,320 --> 00:36:22,960
Speaker 3: which is like you can do marketing, branding, content creation,

803
00:36:23,200 --> 00:36:25,799
Speaker 3: you can do animation, you can do almost anything on

804
00:36:25,840 --> 00:36:28,640
Speaker 3: the back end there. And that's because the average person

805
00:36:28,680 --> 00:36:30,640
Speaker 3: wouldn't be able to afford all these things if they

806
00:36:30,680 --> 00:36:32,839
Speaker 3: tried to pay for them all. So this is why

807
00:36:32,840 --> 00:36:35,400
Speaker 3: I'm not mad at Ai, because most people can't afford

808
00:36:35,480 --> 00:36:38,120
Speaker 3: to have When you start talking about branding, you start

809
00:36:38,120 --> 00:36:42,080
Speaker 3: talking about business. How can we democratize access to taste

810
00:36:42,400 --> 00:36:45,160
Speaker 3: so where all they have to focus on is their

811
00:36:45,239 --> 00:36:48,319
Speaker 3: taste level, and then the skill can be done by

812
00:36:48,360 --> 00:36:50,760
Speaker 3: the machine. The human side is the output.

813
00:36:50,880 --> 00:36:53,400
Speaker 1: It's getting the taste down that matters. Yeah.

814
00:36:53,640 --> 00:36:56,120
Speaker 3: Now there's some companies that's even trying to automate taste,

815
00:36:56,120 --> 00:36:58,480
Speaker 3: which I don't think is possible because once you do that,

816
00:36:58,600 --> 00:37:01,440
Speaker 3: then everybody has the same right, and then it's no

817
00:37:01,520 --> 00:37:02,760
Speaker 3: longer tasteful.

818
00:37:02,600 --> 00:37:06,040
Speaker 1: And nothing's unique. Everyone's got the same style of clips exactly.

819
00:37:06,080 --> 00:37:07,800
Speaker 1: It's not. There's nothing that makes you shit different.

820
00:37:08,080 --> 00:37:11,279
Speaker 3: But I think there's like some things you don't want

821
00:37:11,280 --> 00:37:13,040
Speaker 3: it to do. You don't want it to write for you,

822
00:37:13,200 --> 00:37:16,200
Speaker 3: right right. You always want to be the human in

823
00:37:16,320 --> 00:37:19,719
Speaker 3: the process. And maybe there's seventy percent human, meaning that

824
00:37:20,120 --> 00:37:22,600
Speaker 3: I'm the one doing most of the research, doing the review.

825
00:37:22,719 --> 00:37:25,520
Speaker 3: But what part of the process can you have AI do?

826
00:37:26,320 --> 00:37:28,759
Speaker 1: Yeah, it's almost like if you're an editor and you

827
00:37:28,800 --> 00:37:30,759
Speaker 1: were smart enough and I don't want to say smart

828
00:37:30,800 --> 00:37:34,040
Speaker 1: enough because but if you if you applied yourself to

829
00:37:34,280 --> 00:37:37,120
Speaker 1: learning this shit the right way, you could scale your business.

830
00:37:38,000 --> 00:37:39,320
Speaker 1: You know, if you if you were just like a

831
00:37:40,280 --> 00:37:45,680
Speaker 1: freelance editor, Yeah, you could build out a real fucking Hey,

832
00:37:45,760 --> 00:37:49,839
Speaker 1: I want to edit clips for thirty different Everybody who

833
00:37:49,880 --> 00:37:53,600
Speaker 1: does podcast the clips radio stations need content all that.

834
00:37:53,680 --> 00:37:55,840
Speaker 3: Once you have your system done all you can go

835
00:37:55,880 --> 00:37:59,319
Speaker 3: hit the small businesses right now, right, and you can

836
00:37:59,440 --> 00:38:02,239
Speaker 3: go look at who they hiring for. And then once

837
00:38:02,280 --> 00:38:04,480
Speaker 3: you know what they hiring for, you can create an

838
00:38:04,520 --> 00:38:06,640
Speaker 3: AI agent and be like, look, I created this for

839
00:38:06,680 --> 00:38:07,240
Speaker 3: your business.

840
00:38:07,239 --> 00:38:08,400
Speaker 2: I love to take you through this.

841
00:38:08,920 --> 00:38:09,120
Speaker 1: Right.

842
00:38:09,160 --> 00:38:11,880
Speaker 3: You can go look at small businesses that have ugly websites.

843
00:38:12,080 --> 00:38:14,279
Speaker 3: You can go redesign those websites and be like, look,

844
00:38:14,280 --> 00:38:16,120
Speaker 3: I made you a better website. And it's the funnels

845
00:38:16,120 --> 00:38:17,600
Speaker 3: for your business. I think that it can give you

846
00:38:17,640 --> 00:38:20,480
Speaker 3: a twenty percent return, right, and you could do it

847
00:38:20,520 --> 00:38:22,799
Speaker 3: in a way to where it's like, look, I don't

848
00:38:22,840 --> 00:38:24,799
Speaker 3: You don't even have to charge them nothing. You can

849
00:38:25,120 --> 00:38:27,080
Speaker 3: get a cut on a percentage of what it makes

850
00:38:27,080 --> 00:38:27,920
Speaker 3: them if this thing.

851
00:38:27,840 --> 00:38:31,799
Speaker 1: Works, and it doesn't take you that much. Once you

852
00:38:31,840 --> 00:38:35,080
Speaker 1: get those systems down, it doesn't take it. Yeah, I saw.

853
00:38:36,960 --> 00:38:38,640
Speaker 1: And I don't want to bring up Kevin o'larry like

854
00:38:39,000 --> 00:38:40,960
Speaker 1: he's a good because Kevin o'larry's a piece of shit

855
00:38:41,000 --> 00:38:43,200
Speaker 1: in my opinion, But I did see his whole thing

856
00:38:43,320 --> 00:38:44,800
Speaker 1: was like he was like, if I had to restart

857
00:38:44,840 --> 00:38:48,480
Speaker 1: from nothing at zero right now, huh, I would teach

858
00:38:49,600 --> 00:38:52,239
Speaker 1: businesses how to build the I agents. Yeah, that would

859
00:38:52,280 --> 00:38:54,399
Speaker 1: be my I would just go all in on that.

860
00:38:54,840 --> 00:38:56,719
Speaker 1: I would go to small businesses. I would teach him

861
00:38:56,719 --> 00:38:59,600
Speaker 1: how to build out their their AI agents and they

862
00:38:59,640 --> 00:39:01,640
Speaker 1: would pay me a fee and I would just scale that.

863
00:39:01,960 --> 00:39:03,600
Speaker 3: And that's what we're doing, you know what I mean

864
00:39:03,640 --> 00:39:05,200
Speaker 3: when we do a hack ofthons, be teaching you how

865
00:39:05,239 --> 00:39:06,879
Speaker 3: to set up your first agent so that they can

866
00:39:06,880 --> 00:39:10,239
Speaker 3: produce a task for you. And our students are already

867
00:39:10,239 --> 00:39:12,240
Speaker 3: at that point to where the agents are doing stuff

868
00:39:12,239 --> 00:39:15,000
Speaker 3: for them, and we focus on what's the ROI for

869
00:39:15,080 --> 00:39:16,799
Speaker 3: when these agents are doing I want you to just

870
00:39:16,840 --> 00:39:17,120
Speaker 3: make it.

871
00:39:17,160 --> 00:39:19,080
Speaker 1: I want you to have a specific.

872
00:39:18,600 --> 00:39:21,040
Speaker 3: Output in mind and outcome in mind so that you

873
00:39:21,080 --> 00:39:22,960
Speaker 3: can say that this was worth my time and this

874
00:39:23,040 --> 00:39:25,719
Speaker 3: is worth having within my business. But most of the

875
00:39:25,719 --> 00:39:28,000
Speaker 3: time you can't do that if you don't understand your business,

876
00:39:28,040 --> 00:39:30,040
Speaker 3: if you're not writing down the systems and things of

877
00:39:30,080 --> 00:39:32,920
Speaker 3: that nature, because then once you have that, you can

878
00:39:32,920 --> 00:39:36,799
Speaker 3: feed that into the AI. There's I forget what it's called.

879
00:39:36,840 --> 00:39:39,040
Speaker 3: I thought Steve was in here, but there's this website

880
00:39:39,040 --> 00:39:41,799
Speaker 3: where you can take the work that you do and

881
00:39:41,840 --> 00:39:44,760
Speaker 3: then you can screen record that, and then that screen

882
00:39:44,840 --> 00:39:47,600
Speaker 3: recording becomes the way that you train your AI agent

883
00:39:47,680 --> 00:39:49,080
Speaker 3: to work just like you, so.

884
00:39:49,080 --> 00:39:51,879
Speaker 1: It'll see what you're doing exactly that point right.

885
00:39:51,960 --> 00:39:54,320
Speaker 3: So now you got to sop. So now it understands

886
00:39:54,360 --> 00:39:57,440
Speaker 3: every step in the process that you take. So every

887
00:39:57,520 --> 00:40:00,600
Speaker 3: step in that process then turns into a four system,

888
00:40:01,200 --> 00:40:01,600
Speaker 3: you know what I mean.

889
00:40:01,719 --> 00:40:02,920
Speaker 1: So, oh, we see that.

890
00:40:02,880 --> 00:40:05,600
Speaker 3: You research here first, then you go check this clip,

891
00:40:05,800 --> 00:40:08,120
Speaker 3: then you open up this app, then you edit here,

892
00:40:08,200 --> 00:40:10,880
Speaker 3: then you stitch here, then you do this. Now AI

893
00:40:11,120 --> 00:40:13,279
Speaker 3: turns that into a transcript to what give us a

894
00:40:13,280 --> 00:40:15,640
Speaker 3: step by step Now that's step by step.

895
00:40:15,719 --> 00:40:18,000
Speaker 1: You feed that and then you go to claud and

896
00:40:18,040 --> 00:40:20,279
Speaker 1: you have that turned into an agent. Shout out to

897
00:40:20,280 --> 00:40:22,959
Speaker 1: our brothers at Hard Dean Man Odds Family. Of course,

898
00:40:22,960 --> 00:40:25,600
Speaker 1: they've been sponsoring the podcast for years now. You've been

899
00:40:25,600 --> 00:40:27,680
Speaker 1: seeing the mic flag for years now. Want to give

900
00:40:27,680 --> 00:40:29,760
Speaker 1: a shout out to our brothers. I just was in Vegas.

901
00:40:29,880 --> 00:40:31,360
Speaker 1: I had to pull up all right. Look, it's the

902
00:40:31,440 --> 00:40:34,279
Speaker 1: number one dispensary in the world. When I tell you, you

903
00:40:34,400 --> 00:40:37,480
Speaker 1: walk in that thing and the butt tenders are great.

904
00:40:37,600 --> 00:40:40,440
Speaker 1: They take care of you immediately. The selection is great.

905
00:40:40,800 --> 00:40:42,719
Speaker 1: So when you go to Vegas. You get into that cab,

906
00:40:42,760 --> 00:40:45,280
Speaker 1: you get into that uber immediately say take me to Hardean.

907
00:40:45,440 --> 00:40:47,080
Speaker 1: The don't know what they're doing, all right, they go

908
00:40:47,200 --> 00:40:49,320
Speaker 1: get you right, all right, the number one premium cannabis

909
00:40:49,320 --> 00:40:51,799
Speaker 1: dispensary in the world. They just got me right. I

910
00:40:51,840 --> 00:40:54,680
Speaker 1: was just in town for a raffie's birthday. Had to

911
00:40:54,719 --> 00:40:57,200
Speaker 1: pull up. Get right, this nice little one on one

912
00:40:57,680 --> 00:41:01,960
Speaker 1: Hardeing jersey. These are not available, all right? Shot to them, man,

913
00:41:01,960 --> 00:41:04,080
Speaker 1: all right, salute to the family. Follow them on Instagram.

914
00:41:04,120 --> 00:41:08,160
Speaker 1: Harding Underscore Las Vegas. Sorry, let's get back to the podcast.

915
00:41:08,400 --> 00:41:12,000
Speaker 1: Do you have because I've seen a lot of like

916
00:41:12,160 --> 00:41:15,160
Speaker 1: hour two hour long YouTube videos breaking down how to

917
00:41:15,239 --> 00:41:16,960
Speaker 1: learn quart or whatever. Have you done your own version

918
00:41:17,040 --> 00:41:20,239
Speaker 1: of Obviously you got the hackathon, which is more of

919
00:41:20,280 --> 00:41:21,320
Speaker 1: like a workshop, i'd assume.

920
00:41:21,560 --> 00:41:24,279
Speaker 3: Yeah, so we actually like take people through it. I

921
00:41:24,360 --> 00:41:27,560
Speaker 3: have my tech guy, Antoine Digital. He's been doing this

922
00:41:27,560 --> 00:41:30,399
Speaker 3: for the last like ten plus years. And in those

923
00:41:30,440 --> 00:41:32,799
Speaker 3: spaces is where we want to make sure that we're

924
00:41:32,840 --> 00:41:35,520
Speaker 3: not just giving you a video and you're looking online

925
00:41:35,520 --> 00:41:38,920
Speaker 3: because information is everywhere, but we're thinking about your specific

926
00:41:39,000 --> 00:41:39,439
Speaker 3: use case.

927
00:41:39,520 --> 00:41:41,319
Speaker 1: Yeah, like what's your use case? What do you got

928
00:41:41,320 --> 00:41:41,840
Speaker 1: in mind that.

929
00:41:42,160 --> 00:41:44,920
Speaker 3: Yeah, so our hackathon was making sure that every single

930
00:41:44,960 --> 00:41:47,799
Speaker 3: person left with a working agent that they can use

931
00:41:47,840 --> 00:41:48,560
Speaker 3: in their business.

932
00:41:48,719 --> 00:41:53,080
Speaker 1: Yeah. Do you do you have any sort of Obviously

933
00:41:53,120 --> 00:41:55,240
Speaker 1: we were talking earlierbout having a positive outlook for the future.

934
00:41:55,239 --> 00:41:59,200
Speaker 1: But I'm just curious, like, what is your thoughts on

935
00:42:00,800 --> 00:42:04,440
Speaker 1: I guess the world right now? We just got on

936
00:42:04,480 --> 00:42:07,120
Speaker 1: the other side of this Iran deal that looks like

937
00:42:07,160 --> 00:42:10,200
Speaker 1: it might be real. I mean, Trump just signed a

938
00:42:10,200 --> 00:42:13,400
Speaker 1: deal that was written in Farsi, which is which I

939
00:42:13,600 --> 00:42:15,719
Speaker 1: thought was a cool flex you know, by Iran. But

940
00:42:16,800 --> 00:42:21,040
Speaker 1: you know, it feels like the Zi the Zion could be.

941
00:42:21,280 --> 00:42:26,120
Speaker 1: But it feels like the Zion is like agenda has

942
00:42:26,200 --> 00:42:29,400
Speaker 1: been kind of like exposed to a point where you know,

943
00:42:29,440 --> 00:42:31,080
Speaker 1: the cats out outside of the bag. I don't know

944
00:42:31,120 --> 00:42:34,240
Speaker 1: if it'll ever go back in the bag, which also

945
00:42:34,960 --> 00:42:40,799
Speaker 1: explains why they're in such a rush to get this

946
00:42:40,960 --> 00:42:43,520
Speaker 1: Greater Israel thing pushed through and to kind of get

947
00:42:43,560 --> 00:42:47,839
Speaker 1: all of this far right Zionis shit pushed through while

948
00:42:47,840 --> 00:42:52,320
Speaker 1: they can, because they're losing the youth, they're losing the left,

949
00:42:52,400 --> 00:42:56,480
Speaker 1: and they're losing a good portion of the right. I mean,

950
00:42:56,520 --> 00:42:57,759
Speaker 1: I just showed you a video or it feels like

951
00:42:57,840 --> 00:43:00,520
Speaker 1: Jade Vance has kind of drawing a line in the sand,

952
00:43:00,000 --> 00:43:03,560
Speaker 1: and obviously it's it's all bullshit because he has no spine.

953
00:43:03,600 --> 00:43:05,920
Speaker 1: But I'm just curious, what are your thoughts just with

954
00:43:05,960 --> 00:43:07,680
Speaker 1: all that that's happening in the world, and we just

955
00:43:07,680 --> 00:43:10,839
Speaker 1: got on the other side. We've had technically, you know,

956
00:43:10,960 --> 00:43:13,080
Speaker 1: two wars under Trump, and there was the Twelve Day War,

957
00:43:13,120 --> 00:43:14,200
Speaker 1: and then we just got on the other side of

958
00:43:14,200 --> 00:43:17,200
Speaker 1: the sun Iranian War. And then you know, there was

959
00:43:17,440 --> 00:43:21,080
Speaker 1: the shit that happened in Venezuela that was obviously an operation.

960
00:43:21,200 --> 00:43:23,800
Speaker 1: But you know, kind of crazy world we're living.

961
00:43:23,640 --> 00:43:29,640
Speaker 3: In, Yeah, Man, one of those questions that there's the

962
00:43:29,680 --> 00:43:32,239
Speaker 3: things that's outside of our control, and then there's the

963
00:43:32,280 --> 00:43:35,600
Speaker 3: things that we can control, right And so I think

964
00:43:35,640 --> 00:43:37,320
Speaker 3: the way that you make sure that you don't go

965
00:43:37,440 --> 00:43:40,040
Speaker 3: crazy is you think about the things that you can control.

966
00:43:40,239 --> 00:43:40,399
Speaker 1: Right.

967
00:43:40,480 --> 00:43:42,279
Speaker 3: Like, as much as we talk about how messed up

968
00:43:42,280 --> 00:43:47,160
Speaker 3: imperialism is, even white supremacy within our community, if we

969
00:43:47,239 --> 00:43:49,200
Speaker 3: really think the enemy is so bad, then how come

970
00:43:49,239 --> 00:43:50,279
Speaker 3: we don't coordinate more?

971
00:43:50,760 --> 00:43:51,399
Speaker 1: Right? Right?

972
00:43:51,520 --> 00:43:53,560
Speaker 3: Like, you can think about who do you think are

973
00:43:53,600 --> 00:43:56,319
Speaker 3: like black voices that you see are like pro black

974
00:43:56,400 --> 00:43:57,000
Speaker 3: right now.

975
00:43:57,400 --> 00:44:05,600
Speaker 1: I mean you're the main one, Charlotte, Jaylen Brown, Kyrie.

976
00:44:07,600 --> 00:44:17,920
Speaker 1: What about the media killer Mike Mark Lamont Hill? Who else? Dom?

977
00:44:17,960 --> 00:44:18,200
Speaker 1: I think?

978
00:44:18,239 --> 00:44:21,239
Speaker 3: I don't know now the question have you seen us

979
00:44:21,320 --> 00:44:22,480
Speaker 3: do anything together?

980
00:44:24,040 --> 00:44:24,080
Speaker 1: No?

981
00:44:25,280 --> 00:44:27,640
Speaker 2: Then the things that we talk about can't be that bad.

982
00:44:28,320 --> 00:44:28,440
Speaker 1: Hm.

983
00:44:29,280 --> 00:44:31,359
Speaker 3: That's the way I look at it. The world can't

984
00:44:31,400 --> 00:44:33,640
Speaker 3: be that bad if the people are not organizing.

985
00:44:34,520 --> 00:44:36,680
Speaker 1: What's almost like what you said earlier, like, how is

986
00:44:36,680 --> 00:44:38,760
Speaker 1: there ever supposed to be a revolution? Yeah?

987
00:44:39,360 --> 00:44:41,840
Speaker 3: Well, I just think that we've turned everything into entertainment.

988
00:44:42,000 --> 00:44:45,120
Speaker 3: Everything is monetizable, everything's a meme for sure. The reason

989
00:44:45,160 --> 00:44:50,920
Speaker 3: grown man gossip is because the effemination of manhood is

990
00:44:50,960 --> 00:44:54,760
Speaker 3: monetizable now, like you get paid to gossip. So therefore

991
00:44:54,920 --> 00:44:58,000
Speaker 3: you don't even look at it as a feminine thing, right,

992
00:44:58,120 --> 00:45:01,520
Speaker 3: even though historically it was something I was associated right

993
00:45:01,600 --> 00:45:05,279
Speaker 3: with women. Right, And so when we think about it,

994
00:45:05,520 --> 00:45:08,320
Speaker 3: men have always had ways to where we take in information.

995
00:45:08,400 --> 00:45:11,879
Speaker 3: We just never called it gossiping. Today, man don't mind gossiping, right,

996
00:45:11,960 --> 00:45:13,560
Speaker 3: because you can monetize it.

997
00:45:14,040 --> 00:45:15,560
Speaker 1: So now it's capitalism.

998
00:45:15,880 --> 00:45:17,960
Speaker 3: Even the way we talk about white supremacy, the way

999
00:45:17,960 --> 00:45:19,640
Speaker 3: we talk about the world. The way we talk about

1000
00:45:19,680 --> 00:45:22,640
Speaker 3: the problems, it's all just capitalism because we're all just

1001
00:45:22,719 --> 00:45:24,600
Speaker 3: monetizing on the grievances of the world.

1002
00:45:24,880 --> 00:45:28,960
Speaker 1: Yeah. I saw the homie poetic Flocko, who hasn't really

1003
00:45:29,080 --> 00:45:32,200
Speaker 1: entertaining YouTube channel, but he was showing this Chud the

1004
00:45:32,200 --> 00:45:35,239
Speaker 1: Builder thing went down and he was showing like the

1005
00:45:35,239 --> 00:45:37,359
Speaker 1: amount of money he made on YouTube talking about Chud

1006
00:45:37,400 --> 00:45:39,440
Speaker 1: the Builder for the month. Yeah, and it was like

1007
00:45:39,520 --> 00:45:43,560
Speaker 1: one hundred and twenty thousand dollars. Yeah, which is which

1008
00:45:43,680 --> 00:45:44,320
Speaker 1: is crazy.

1009
00:45:44,440 --> 00:45:49,200
Speaker 2: Yeah, No, but think about that, so this is nothing

1010
00:45:49,320 --> 00:45:51,040
Speaker 2: is meaningful anymore. It's just money.

1011
00:45:51,160 --> 00:45:51,399
Speaker 1: Right.

1012
00:45:51,600 --> 00:45:54,400
Speaker 3: Social media has two main purposes. There's money or messaging.

1013
00:45:55,200 --> 00:45:58,200
Speaker 3: If you have a message right that you think is meaningful,

1014
00:45:58,360 --> 00:46:00,960
Speaker 3: or you have a counter narrative to what is the

1015
00:46:01,000 --> 00:46:03,960
Speaker 3: dominant messaging, then you're going to use social media for that.

1016
00:46:04,480 --> 00:46:07,719
Speaker 3: The other one is Mark Zuckerberg and Elon Musk, which

1017
00:46:07,760 --> 00:46:12,160
Speaker 3: are extremely wealthy individuals beyond what we can calculate right

1018
00:46:12,280 --> 00:46:15,919
Speaker 3: own these platforms. So anytime we're using these platforms, right,

1019
00:46:15,960 --> 00:46:17,240
Speaker 3: we're benefiting them.

1020
00:46:17,560 --> 00:46:17,719
Speaker 1: Right.

1021
00:46:17,880 --> 00:46:18,359
Speaker 2: All of the.

1022
00:46:18,320 --> 00:46:21,359
Speaker 3: Attention, all the energy that we galvanize on these platforms

1023
00:46:21,719 --> 00:46:24,280
Speaker 3: is theirs to use and convert so that they can grow.

1024
00:46:24,080 --> 00:46:26,879
Speaker 1: And get richer and richer and richer. Right.

1025
00:46:26,960 --> 00:46:29,760
Speaker 3: So, if you're not making money to put resources behind

1026
00:46:30,400 --> 00:46:34,080
Speaker 3: your sovereignty, if you will, right, then it's a waste

1027
00:46:34,080 --> 00:46:36,000
Speaker 3: of time to even use social media if it's not

1028
00:46:36,040 --> 00:46:37,080
Speaker 3: for money or messaging.

1029
00:46:37,719 --> 00:46:37,919
Speaker 1: Right.

1030
00:46:38,440 --> 00:46:40,239
Speaker 3: So that's the way I look at it, point blank

1031
00:46:40,239 --> 00:46:42,600
Speaker 3: period at this point in time, because it's not social media,

1032
00:46:42,600 --> 00:46:46,399
Speaker 3: it's not interest media, you understand me. It's just capitalism, right, right,

1033
00:46:46,480 --> 00:46:49,719
Speaker 3: It's about media to make money, right, And the way

1034
00:46:49,760 --> 00:46:52,160
Speaker 3: you make money is to get people's attention and convert

1035
00:46:52,160 --> 00:46:56,239
Speaker 3: that attention into a product. It's been commodified, right, So

1036
00:46:56,680 --> 00:46:58,319
Speaker 3: where do we go from here is how do we

1037
00:46:58,360 --> 00:47:00,920
Speaker 3: create more face to face experiences for the next generation

1038
00:47:01,320 --> 00:47:03,920
Speaker 3: so they're not stuck on these algorithms. Because I look

1039
00:47:03,960 --> 00:47:06,360
Speaker 3: at the world as being homo social. It's not that

1040
00:47:06,400 --> 00:47:10,439
Speaker 3: the young generation that we say effeminine or do things

1041
00:47:10,440 --> 00:47:13,320
Speaker 3: that we wouldn't considered to be naturally attributed to manhood

1042
00:47:13,840 --> 00:47:16,160
Speaker 3: is at number one, they didn't grow up with examples

1043
00:47:16,200 --> 00:47:19,640
Speaker 3: and principles. They grew up with algorithms, right, Like we

1044
00:47:19,760 --> 00:47:22,280
Speaker 3: stare at celebrities more than we stare at real stars

1045
00:47:22,320 --> 00:47:22,719
Speaker 3: in the sky.

1046
00:47:22,840 --> 00:47:24,960
Speaker 2: Now we don't look at the fucking sky anymore.

1047
00:47:25,200 --> 00:47:27,959
Speaker 1: And we also have we also like let streamers live.

1048
00:47:28,480 --> 00:47:31,560
Speaker 2: Like for us, ninety percent of streamers ain't talking about shit.

1049
00:47:31,560 --> 00:47:33,000
Speaker 2: It ain't about nothing, and they do a lot of

1050
00:47:33,080 --> 00:47:34,280
Speaker 2: raise baiting and gay baiting.

1051
00:47:34,440 --> 00:47:36,240
Speaker 3: We know that that happens because they want to convert

1052
00:47:36,239 --> 00:47:40,000
Speaker 3: it right, But that's all that means that nothing matters,

1053
00:47:40,040 --> 00:47:42,560
Speaker 3: there's no morals, it's saying that what gets me attention.

1054
00:47:43,000 --> 00:47:45,920
Speaker 3: I would run the script on that, convert that into monetization.

1055
00:47:46,400 --> 00:47:49,360
Speaker 3: So even if somebody slapped the hell out you, somebody

1056
00:47:49,360 --> 00:47:51,719
Speaker 3: going on to interview you right after that slap and

1057
00:47:51,719 --> 00:47:54,319
Speaker 3: they'll probably pay you for it once that's happeneding you,

1058
00:47:54,400 --> 00:47:58,000
Speaker 3: incentivizing negative behavior. So the question becomes is what is

1059
00:47:58,040 --> 00:48:00,840
Speaker 3: the coordination layer for the culture that counter what the

1060
00:48:00,880 --> 00:48:03,719
Speaker 3: current narrative is. So we know what the trajectory and

1061
00:48:03,800 --> 00:48:07,279
Speaker 3: direction of the world that we don't like, But who

1062
00:48:07,360 --> 00:48:11,840
Speaker 3: is willing to be intentional about resourcing right a different incentive.

1063
00:48:12,360 --> 00:48:14,480
Speaker 3: So if we're talking about independent media, I think that

1064
00:48:14,560 --> 00:48:17,919
Speaker 3: we are in a great opportunity zone for those who

1065
00:48:17,920 --> 00:48:21,560
Speaker 3: have media platforms to coordinate so that there's a better

1066
00:48:21,680 --> 00:48:25,879
Speaker 3: narrative in messaging. But if there's no intentionality between the

1067
00:48:25,880 --> 00:48:30,080
Speaker 3: thought leader and the celebrity and the wealth manager right

1068
00:48:30,160 --> 00:48:33,959
Speaker 3: and the politician, then that's not a culture. It's fragmentation.

1069
00:48:34,640 --> 00:48:37,680
Speaker 3: So my focus is more so about what is the

1070
00:48:37,719 --> 00:48:40,280
Speaker 3: world that we want we see, where the world is going,

1071
00:48:40,280 --> 00:48:42,480
Speaker 3: what's the counter narrative to that, and how do we

1072
00:48:42,520 --> 00:48:46,080
Speaker 3: get there? And I think through coordination and organization is key.

1073
00:48:46,520 --> 00:48:49,279
Speaker 3: Otherwise we're just monetizing the grievances of the world and

1074
00:48:49,280 --> 00:48:51,120
Speaker 3: where things are going. But hell yeah, I got a

1075
00:48:51,160 --> 00:48:52,640
Speaker 3: positive outlook about the world.

1076
00:48:53,120 --> 00:48:53,319
Speaker 1: You know.

1077
00:48:53,480 --> 00:48:55,319
Speaker 3: I was always taught that the world is mineing. I

1078
00:48:55,320 --> 00:48:58,280
Speaker 3: believe that right until the day I die. I believe

1079
00:48:58,280 --> 00:49:01,440
Speaker 3: that we are gods right. I believe in infinite confidence.

1080
00:49:01,520 --> 00:49:05,239
Speaker 3: I believe in maximizing my optimism. I believe in force

1081
00:49:05,360 --> 00:49:09,760
Speaker 3: redistribution of wealth right through us creating collective sovereignty systems

1082
00:49:09,760 --> 00:49:12,760
Speaker 3: that are interconnected and linked. I believe in us focusing

1083
00:49:12,840 --> 00:49:16,000
Speaker 3: on family offices so that we can take the collective

1084
00:49:16,040 --> 00:49:19,040
Speaker 3: power right because individually we ain't got no power. I

1085
00:49:19,040 --> 00:49:21,560
Speaker 3: don't care how great somebody sound on a microphone, what

1086
00:49:21,600 --> 00:49:23,759
Speaker 3: their platform is doing, and what announcement that they have

1087
00:49:23,840 --> 00:49:26,279
Speaker 3: none of that shit matters. What matters is do they

1088
00:49:26,280 --> 00:49:28,399
Speaker 3: have coordination. We mad at Peter Till and the rest

1089
00:49:28,440 --> 00:49:30,920
Speaker 3: of these guys for getting together and coordinating about power.

1090
00:49:31,239 --> 00:49:33,480
Speaker 3: But if you think secret society, what if you think

1091
00:49:33,520 --> 00:49:35,120
Speaker 3: that's so bad, I'll come you don't do it.

1092
00:49:35,480 --> 00:49:37,560
Speaker 1: If you think that that's so bad, but you're.

1093
00:49:37,400 --> 00:49:39,319
Speaker 3: Not willing to do the same for something good, how

1094
00:49:39,360 --> 00:49:42,080
Speaker 3: you consider yourself good? I'm just saying that. I just

1095
00:49:42,120 --> 00:49:43,959
Speaker 3: think that a lot of this shit is fake as fuck,

1096
00:49:44,400 --> 00:49:45,960
Speaker 3: You understand me. I think that we talk a lot

1097
00:49:46,000 --> 00:49:49,520
Speaker 3: about white supremacy and imperialism and techno feudalism, but the

1098
00:49:49,560 --> 00:49:51,160
Speaker 3: good guys ain't willing to link up.

1099
00:49:51,320 --> 00:49:55,279
Speaker 1: Because I feel like some of that is ego and

1100
00:49:55,360 --> 00:49:57,759
Speaker 1: some of it is everything that is fear too. And

1101
00:49:57,800 --> 00:50:00,920
Speaker 1: also I also feel like everything has to have a

1102
00:50:00,960 --> 00:50:03,640
Speaker 1: bag attached. Well, you can get the bag if you're

1103
00:50:03,680 --> 00:50:06,239
Speaker 1: operating collectively, right, But I just mean in terms of like,

1104
00:50:07,000 --> 00:50:08,840
Speaker 1: it's hard to get people to operate for the greater

1105
00:50:08,920 --> 00:50:12,719
Speaker 1: good immediately. But like you said, there is a part

1106
00:50:12,719 --> 00:50:13,319
Speaker 1: of fear that is.

1107
00:50:14,080 --> 00:50:16,719
Speaker 3: Well, see, here's the thing, it's just just coordination. Most

1108
00:50:16,760 --> 00:50:19,520
Speaker 3: people we have the knowledge within our communities person become rich,

1109
00:50:19,520 --> 00:50:22,520
Speaker 3: they go get a you go get you a white

1110
00:50:23,160 --> 00:50:25,960
Speaker 3: you know, financial manager for your money. That money is

1111
00:50:26,000 --> 00:50:30,160
Speaker 3: then being flipped into their communities and leveraged inside their community.

1112
00:50:30,239 --> 00:50:32,719
Speaker 3: So even when we are celebrating somebody getting a deal,

1113
00:50:32,719 --> 00:50:35,880
Speaker 3: we never look at, okay, who is behind those deals?

1114
00:50:35,880 --> 00:50:36,720
Speaker 2: Who is their manager?

1115
00:50:36,800 --> 00:50:38,840
Speaker 3: Who's like when we sat down with Jaylen Brown and

1116
00:50:38,880 --> 00:50:40,399
Speaker 3: he said that he didn't want to get an agent

1117
00:50:40,440 --> 00:50:42,759
Speaker 3: because he didn't want nobody taking their percentage when he

1118
00:50:42,800 --> 00:50:45,040
Speaker 3: can do that himself where he can set that up

1119
00:50:45,040 --> 00:50:48,040
Speaker 3: within his family. That was intelligent, right, because you then

1120
00:50:48,120 --> 00:50:51,759
Speaker 3: start looking at the infrastructure. Who's the lawyer, who's the accountant, right,

1121
00:50:51,800 --> 00:50:54,759
Speaker 3: who's managing the money, who's taking fees on that right?

1122
00:50:54,840 --> 00:50:58,040
Speaker 3: Who's controlling the bank behind all this black celebrity every

1123
00:50:58,080 --> 00:51:00,640
Speaker 3: time they get a thirty million dollar deal. Okay, but

1124
00:51:01,000 --> 00:51:04,200
Speaker 3: is there a black wealth family office behind that?

1125
00:51:04,680 --> 00:51:06,120
Speaker 1: No? You understand me.

1126
00:51:06,160 --> 00:51:09,560
Speaker 3: So we talk black, but economically, right, our money is

1127
00:51:09,600 --> 00:51:12,080
Speaker 3: circulated and controlled by people that don't look like us.

1128
00:51:12,440 --> 00:51:14,920
Speaker 3: So even if you want to do something good, right,

1129
00:51:14,960 --> 00:51:17,400
Speaker 3: they're gonna be like, well, I don't really get fees

1130
00:51:17,440 --> 00:51:20,080
Speaker 3: off if you take money out of my management. I'm

1131
00:51:20,120 --> 00:51:21,839
Speaker 3: not going to get fees off you chasing your dream

1132
00:51:21,880 --> 00:51:24,080
Speaker 3: of doing something for your community. I was talking to

1133
00:51:24,120 --> 00:51:25,840
Speaker 3: my brother Keenan Bees, and we was talking about how

1134
00:51:25,920 --> 00:51:28,000
Speaker 3: much money do you think it costs to run a

1135
00:51:28,000 --> 00:51:29,400
Speaker 3: grocery store just yearly?

1136
00:51:31,360 --> 00:51:35,560
Speaker 1: I would say probably a few hundred thousand dollars? How

1137
00:51:35,560 --> 00:51:35,920
Speaker 1: big it is?

1138
00:51:35,920 --> 00:51:38,440
Speaker 3: One hundred and fifty thousand dollars on the average. Okay, right,

1139
00:51:38,880 --> 00:51:41,759
Speaker 3: very small. Now, think about all the foundations that these

1140
00:51:41,800 --> 00:51:44,880
Speaker 3: celebrities have, so called wealthy people have all these foundations.

1141
00:51:44,920 --> 00:51:47,040
Speaker 3: How many of them started a grocery store with just

1142
00:51:47,080 --> 00:51:49,520
Speaker 3: the money that they're writing off from their foundation can

1143
00:51:49,560 --> 00:51:50,640
Speaker 3: go to to operate.

1144
00:51:51,160 --> 00:51:53,799
Speaker 1: Yeah, Like it can literally just be an attached d Yeah.

1145
00:51:53,880 --> 00:51:55,880
Speaker 3: So it's not that it can't be done, we're not

1146
00:51:55,920 --> 00:51:57,680
Speaker 3: being intentional about doing it.

1147
00:51:58,200 --> 00:51:59,840
Speaker 1: Yeah. I think that's another thing too that happens in

1148
00:51:59,840 --> 00:52:04,960
Speaker 1: the music industry where you'll see artists make decisions that

1149
00:52:05,080 --> 00:52:08,160
Speaker 1: are really good for their management because their management is

1150
00:52:08,160 --> 00:52:10,640
Speaker 1: getting paid. Yeah, so like they're going to push them

1151
00:52:10,640 --> 00:52:12,560
Speaker 1: in the direction of because they don't got to.

1152
00:52:12,520 --> 00:52:14,120
Speaker 3: Worry about it. Man, they'd be hoing them. They don't

1153
00:52:14,120 --> 00:52:15,839
Speaker 3: even think that they can control their own money. They

1154
00:52:15,920 --> 00:52:17,560
Speaker 3: be asking them what they can do what they mar.

1155
00:52:17,520 --> 00:52:19,560
Speaker 1: Right, and it's like yo, like you signed a shitty

1156
00:52:19,640 --> 00:52:22,400
Speaker 1: deal because your management got on the upfront and now

1157
00:52:22,440 --> 00:52:23,160
Speaker 1: you gotta recoup.

1158
00:52:23,200 --> 00:52:25,840
Speaker 3: When a rapper gets a nice deal, Okay, who's managing

1159
00:52:25,840 --> 00:52:28,440
Speaker 3: that money? Right, He's in a transition phase of now

1160
00:52:28,440 --> 00:52:30,240
Speaker 3: having to be an operator of wealth.

1161
00:52:30,719 --> 00:52:30,879
Speaker 1: Right.

1162
00:52:30,920 --> 00:52:33,160
Speaker 3: If you get thirty million dollars, you got thirty million

1163
00:52:33,160 --> 00:52:36,120
Speaker 3: dollar company, right, because that money is the business that

1164
00:52:36,160 --> 00:52:39,279
Speaker 3: you now have to manage. You know, daily, I'll go

1165
00:52:39,320 --> 00:52:41,680
Speaker 3: to an office. You're not just the office, but I

1166
00:52:41,719 --> 00:52:45,360
Speaker 3: work within a family office called factory and we have

1167
00:52:45,400 --> 00:52:47,759
Speaker 3: our Factory Club. It's sixty eight thousand square feet over

1168
00:52:47,800 --> 00:52:50,080
Speaker 3: there by la people coming in on a daily basis.

1169
00:52:50,120 --> 00:52:53,239
Speaker 3: I'm learning this, learning the real intricacies when you start

1170
00:52:53,239 --> 00:52:56,640
Speaker 3: talking about wealth and management and coordinational organization and way

1171
00:52:57,200 --> 00:52:59,200
Speaker 3: that these business in.

1172
00:52:59,239 --> 00:53:00,399
Speaker 1: The world is really ran.

1173
00:53:00,800 --> 00:53:02,799
Speaker 3: It's really easy to be a gettest things when you're

1174
00:53:02,840 --> 00:53:05,880
Speaker 3: ignorant of how they actually work, right, It's easy to

1175
00:53:05,920 --> 00:53:08,120
Speaker 3: destroy things. But we are in an era where we

1176
00:53:08,120 --> 00:53:10,880
Speaker 3: should be focused on what are we building right, and

1177
00:53:10,920 --> 00:53:13,879
Speaker 3: the things that we build becomes the institutions because there's

1178
00:53:13,920 --> 00:53:18,440
Speaker 3: no independent media if it's dependent right on somebody else's resources.

1179
00:53:19,000 --> 00:53:23,319
Speaker 3: Now there's no power if it's individual. Collectively, if I say,

1180
00:53:23,840 --> 00:53:25,920
Speaker 3: nineteen Keys is going to take his views that he

1181
00:53:26,040 --> 00:53:29,319
Speaker 3: has as a media operator yearly, it don't even matter.

1182
00:53:29,320 --> 00:53:31,400
Speaker 3: If it's hundreds of millions, that's still not enough to

1183
00:53:31,440 --> 00:53:33,720
Speaker 3: go and go get you hundreds of millions of dollars

1184
00:53:33,760 --> 00:53:36,680
Speaker 3: off that. But if I say, let me go in

1185
00:53:36,760 --> 00:53:39,480
Speaker 3: my phone rolodex a people that I can call, and

1186
00:53:39,560 --> 00:53:44,320
Speaker 3: I got everybody number that's somebody's independent media or in media,

1187
00:53:44,560 --> 00:53:47,560
Speaker 3: and you go gather the top one hundred voices and platforms,

1188
00:53:47,560 --> 00:53:53,560
Speaker 3: and collectively we have billions billions of views, right, billions

1189
00:53:53,880 --> 00:53:58,160
Speaker 3: or millions and millions of constituents that followers and fans

1190
00:53:58,200 --> 00:54:01,200
Speaker 3: and viewers every single year. And I take that collective.

1191
00:54:01,520 --> 00:54:03,480
Speaker 3: Now you can run a bag for that, because you

1192
00:54:03,520 --> 00:54:05,080
Speaker 3: go to a company and say, if you ever want

1193
00:54:05,080 --> 00:54:08,480
Speaker 3: inside the culture, same way revolt random Model, then okay,

1194
00:54:08,880 --> 00:54:09,719
Speaker 3: give us the bag for.

1195
00:54:09,760 --> 00:54:13,000
Speaker 1: Yeah, it's like a collective. Everybody gets a piece of

1196
00:54:12,680 --> 00:54:14,680
Speaker 1: of of the pot. Right, you know what I'm saying.

1197
00:54:14,680 --> 00:54:16,440
Speaker 1: If there's like a you know, if somebody wants to

1198
00:54:16,440 --> 00:54:18,600
Speaker 1: come in and let's say it's Nike or whoever, the

1199
00:54:18,640 --> 00:54:21,600
Speaker 1: fuck is, and they want to tap in with a

1200
00:54:21,600 --> 00:54:23,480
Speaker 1: certain you know, like you said, tap in with the

1201
00:54:23,520 --> 00:54:26,719
Speaker 1: quote unquote culture. Everybody eats talk of that. Yeah, but

1202
00:54:27,120 --> 00:54:28,680
Speaker 1: and then everybody has to kind of agree on like

1203
00:54:28,719 --> 00:54:30,279
Speaker 1: the morals on who you're gonna work with and what

1204
00:54:30,400 --> 00:54:31,080
Speaker 1: the ya you know.

1205
00:54:31,160 --> 00:54:33,240
Speaker 2: But these niggas ain't got no morals, Let's be honest.

1206
00:54:33,400 --> 00:54:34,839
Speaker 1: Well you and never Well you and I were talking

1207
00:54:34,840 --> 00:54:37,279
Speaker 1: a little bit last week, and we're kind of talking

1208
00:54:37,280 --> 00:54:39,279
Speaker 1: about like, you know, look, at the end of the day,

1209
00:54:39,280 --> 00:54:42,680
Speaker 1: there's like certain information, and there's certain like narratives that

1210
00:54:42,760 --> 00:54:47,319
Speaker 1: are obviously pushed through mainstream media. And as much as

1211
00:54:47,360 --> 00:54:49,680
Speaker 1: like we like to think everyone's kind of waking up

1212
00:54:49,680 --> 00:54:54,680
Speaker 1: the shit, most people who consume information, they consume it

1213
00:54:54,719 --> 00:54:58,719
Speaker 1: on a really surface level basis, right, So it's like

1214
00:54:59,200 --> 00:55:01,440
Speaker 1: whatever the headline might be, whatever they see when they're

1215
00:55:01,440 --> 00:55:04,640
Speaker 1: scrolling on their you know, commute, or whatever Fox New

1216
00:55:04,719 --> 00:55:08,640
Speaker 1: CNN might feed you. But if there is a you know,

1217
00:55:08,760 --> 00:55:11,480
Speaker 1: let's say it's nineteen Keys and it's Charlotte Mane, and

1218
00:55:11,520 --> 00:55:14,920
Speaker 1: it's like, you know, this coalition of people who have

1219
00:55:15,200 --> 00:55:20,759
Speaker 1: the attention that everybody desperately wants and collectively can kind

1220
00:55:20,760 --> 00:55:27,800
Speaker 1: of push certain you know, perspectives that aren't being represented accurately.

1221
00:55:28,280 --> 00:55:32,920
Speaker 3: You know, it's powerful, and let's say every person probably

1222
00:55:32,960 --> 00:55:35,359
Speaker 3: won't be able to do good research to figure out

1223
00:55:35,360 --> 00:55:37,040
Speaker 3: if the source of the things that they're talking about

1224
00:55:37,120 --> 00:55:40,960
Speaker 3: is even true because malinformation, disinformation and misinformation is a

1225
00:55:41,040 --> 00:55:44,000
Speaker 3: huge issue, I mean still, because most of the stuff

1226
00:55:44,040 --> 00:55:46,279
Speaker 3: that we're getting is not even real. So we end

1227
00:55:46,360 --> 00:55:49,480
Speaker 3: up having a conversation on something that's already false. So

1228
00:55:49,520 --> 00:55:52,440
Speaker 3: it doesn't matter what perspective we end up gaining, because

1229
00:55:52,880 --> 00:55:55,040
Speaker 3: the root of it is false in the first place.

1230
00:55:55,440 --> 00:55:58,719
Speaker 3: But now let's say you got information that's being disseminated

1231
00:55:58,719 --> 00:56:02,160
Speaker 3: amongst those platforms, fact checking those things, so now they

1232
00:56:02,280 --> 00:56:05,680
Speaker 3: can at least have trusted sources. Right now, that's worth

1233
00:56:05,719 --> 00:56:08,359
Speaker 3: the membership, right That's worth being a part of that

1234
00:56:08,600 --> 00:56:11,680
Speaker 3: just bit of coordination to make sure that we're at

1235
00:56:11,760 --> 00:56:15,279
Speaker 3: least having conversations and reflecting truth and when something that

1236
00:56:15,320 --> 00:56:19,799
Speaker 3: does come out, because the misinformation warfare and the narrative warfare.

1237
00:56:19,520 --> 00:56:21,880
Speaker 2: Is only going to spread and get bigger, right.

1238
00:56:21,800 --> 00:56:24,520
Speaker 3: Cognitive warfare, the controlling of how we think is only

1239
00:56:24,560 --> 00:56:27,520
Speaker 3: going to get worse. With AI agents and algorithms, When

1240
00:56:27,520 --> 00:56:30,520
Speaker 3: a person can go create a thousand pages spawned up

1241
00:56:30,520 --> 00:56:32,840
Speaker 3: in an instant to go spread the narratives, to start

1242
00:56:32,840 --> 00:56:36,680
Speaker 3: seeding these ideas and thoughts all throughout social media strategically.

1243
00:56:37,000 --> 00:56:39,160
Speaker 3: And it feels real because when you go check one

1244
00:56:39,200 --> 00:56:41,120
Speaker 3: source to take you to another source and another source,

1245
00:56:41,160 --> 00:56:43,640
Speaker 3: you've probably done research it because they set up this

1246
00:56:43,760 --> 00:56:46,360
Speaker 3: rabbit hole and cadence so that you think it was

1247
00:56:46,400 --> 00:56:47,440
Speaker 3: real in the first place.

1248
00:56:47,560 --> 00:56:50,359
Speaker 1: Yeah, the bot shit is crazy. Yeah, I realized it,

1249
00:56:50,400 --> 00:56:52,440
Speaker 1: like when I started getting into it with Drake fans

1250
00:56:52,440 --> 00:56:55,239
Speaker 1: on Twitter and every single one of their profiles didn't

1251
00:56:55,239 --> 00:56:56,480
Speaker 1: follow anybody. Yeah.

1252
00:56:56,520 --> 00:56:58,759
Speaker 3: Well, the bar forms are set up pretty easy, man.

1253
00:56:58,800 --> 00:57:01,160
Speaker 3: You go find some offices, it's going to have thousands

1254
00:57:01,200 --> 00:57:05,399
Speaker 3: of phones, right, And they're not just spreading just the misinformation,

1255
00:57:05,480 --> 00:57:08,400
Speaker 3: they're seating it as gossip, right, and the seating it

1256
00:57:08,800 --> 00:57:12,200
Speaker 3: in these particular places with looking like is UGC creator

1257
00:57:12,239 --> 00:57:16,040
Speaker 3: content that is organic. Once it reaches a certain threshold,

1258
00:57:16,080 --> 00:57:18,360
Speaker 3: then that's when they push it. Then it starts getting

1259
00:57:18,400 --> 00:57:21,560
Speaker 3: picked up and it's everywhere, so you feel it is real, right,

1260
00:57:21,680 --> 00:57:24,640
Speaker 3: And I think the problem is that speed is easier

1261
00:57:24,640 --> 00:57:28,400
Speaker 3: to monetize, so when something happens like with the chuck

1262
00:57:28,440 --> 00:57:31,400
Speaker 3: the builder thing. You don't care about accuracy, no, because

1263
00:57:31,440 --> 00:57:33,800
Speaker 3: you feel like I can correct it maybe later on.

1264
00:57:33,960 --> 00:57:35,960
Speaker 3: You really care about let me be the first to

1265
00:57:36,000 --> 00:57:37,800
Speaker 3: get to the punch so I can get paid.

1266
00:57:38,840 --> 00:57:41,600
Speaker 1: Exactly the attention and the views will be there immediately.

1267
00:57:41,840 --> 00:57:45,760
Speaker 3: So there then is what is the watch dog that

1268
00:57:45,840 --> 00:57:50,000
Speaker 3: makes sure that we're not intentionally being our own oppressors

1269
00:57:50,120 --> 00:57:53,360
Speaker 3: or unintentionally being our on oppressors. Right, And so if

1270
00:57:53,360 --> 00:57:56,400
Speaker 3: we're not being intentional, then we are impressing each other

1271
00:57:56,760 --> 00:57:59,600
Speaker 3: because we are not really filtering on what we're saying

1272
00:57:59,680 --> 00:58:02,760
Speaker 3: or what doing has a positive impact or not. So

1273
00:58:02,840 --> 00:58:04,880
Speaker 3: if you really don't care, then you can go look

1274
00:58:04,880 --> 00:58:08,600
Speaker 3: at Peter till secret organization all you want to that

1275
00:58:08,720 --> 00:58:10,840
Speaker 3: has people on both sides of the aisle, which is

1276
00:58:11,320 --> 00:58:14,760
Speaker 3: I don't care about them, I care about what's our organization, right,

1277
00:58:14,840 --> 00:58:17,520
Speaker 3: That's all. Like anytime I see somebody doing something on

1278
00:58:17,520 --> 00:58:19,440
Speaker 3: one side and you got a problem with it, how

1279
00:58:19,440 --> 00:58:20,760
Speaker 3: come you're not doing it on this side.

1280
00:58:20,800 --> 00:58:21,400
Speaker 1: I'll tell you this.

1281
00:58:22,040 --> 00:58:23,400
Speaker 2: Good is slow to organize.

1282
00:58:24,200 --> 00:58:26,720
Speaker 3: Good people that think they're good, it's not the same

1283
00:58:26,760 --> 00:58:27,600
Speaker 3: as people that's evil.

1284
00:58:27,680 --> 00:58:28,439
Speaker 2: Evil people are.

1285
00:58:28,320 --> 00:58:31,040
Speaker 3: Greedy, so they want it now. They're not waiting for it,

1286
00:58:31,080 --> 00:58:33,680
Speaker 3: They're going to get it now. Good is reacting when

1287
00:58:33,720 --> 00:58:36,600
Speaker 3: injustice happens. That's when we step it in place, right,

1288
00:58:36,680 --> 00:58:40,720
Speaker 3: and so instead you have to be villaging about everything.

1289
00:58:40,800 --> 00:58:43,360
Speaker 3: Right now, when I look at Africa, Eli musk is

1290
00:58:43,440 --> 00:58:45,280
Speaker 3: getting to deal with all of these countries over there

1291
00:58:45,280 --> 00:58:47,760
Speaker 3: in Africa to go do Starlink, right, I think that's

1292
00:58:47,800 --> 00:58:50,680
Speaker 3: probably one of the truest values of SpaceX right now

1293
00:58:50,680 --> 00:58:53,480
Speaker 3: in the first place, right, But when he goes set

1294
00:58:53,560 --> 00:58:55,680
Speaker 3: up that star link, how much control does he have

1295
00:58:55,800 --> 00:58:58,480
Speaker 3: over the African mind or the continent when he's setting

1296
00:58:58,520 --> 00:59:00,760
Speaker 3: up in villages and they never had to end. I

1297
00:59:00,800 --> 00:59:03,360
Speaker 3: set across from the president. I interviewed him when I

1298
00:59:03,400 --> 00:59:06,000
Speaker 3: went to Uganda and he had this first podcast with

1299
00:59:06,080 --> 00:59:08,160
Speaker 3: gen Z and he did his first podcast ever with me,

1300
00:59:08,760 --> 00:59:11,280
Speaker 3: And before I got up there, gen Z was asking,

1301
00:59:11,360 --> 00:59:13,400
Speaker 3: I'm like, what are you going to do about internet access?

1302
00:59:13,480 --> 00:59:16,120
Speaker 3: Make sure that we can have more access to data

1303
00:59:16,200 --> 00:59:18,560
Speaker 3: because in Africa right now, they're not able to monetize

1304
00:59:18,560 --> 00:59:20,840
Speaker 3: our social media. They don't have a way to tax

1305
00:59:20,880 --> 00:59:22,400
Speaker 3: it and things of that nature, so they don't even

1306
00:59:22,400 --> 00:59:24,760
Speaker 3: have the infrastructure set up for that whole.

1307
00:59:24,560 --> 00:59:26,080
Speaker 1: Entire creator economy, economy.

1308
00:59:26,520 --> 00:59:29,080
Speaker 3: But now the average age over there is nineteen years old.

1309
00:59:29,720 --> 00:59:31,560
Speaker 3: So what's going to happen to the young people when

1310
00:59:31,560 --> 00:59:34,400
Speaker 3: there's no opportunities, there's no jobs, They're going to revolt.

1311
00:59:35,040 --> 00:59:38,280
Speaker 3: And that's going to put pressure on the government to say, Okay,

1312
00:59:38,480 --> 00:59:40,960
Speaker 3: we'll take the deal with Elon, But you don't know

1313
00:59:40,960 --> 00:59:43,440
Speaker 3: what comes along with that, right, because.

1314
00:59:43,200 --> 00:59:46,200
Speaker 1: Now you're getting Elon's Internet with exactly.

1315
00:59:46,040 --> 00:59:49,960
Speaker 3: And then the demoralization of your culture. Because once the

1316
00:59:50,080 --> 00:59:53,480
Speaker 3: Internet culture really reaches and y'all got five G everywhere

1317
00:59:53,520 --> 00:59:57,400
Speaker 3: and you monetizing, right, our current becomes their future. So

1318
00:59:57,440 --> 00:59:59,439
Speaker 3: if you're not putting things in place when it comes

1319
00:59:59,440 --> 01:00:01,880
Speaker 3: to AI, make sure we have trusted models, make sure

1320
01:00:01,920 --> 01:00:04,120
Speaker 3: they learn how to run their own local models and

1321
01:00:04,160 --> 01:00:07,400
Speaker 3: things of that nature. Then you have all of these

1322
01:00:07,440 --> 01:00:09,920
Speaker 3: mechanisms in control. That's going to be a level of

1323
01:00:09,960 --> 01:00:14,360
Speaker 3: colonization that they never even understood before. So I went

1324
01:00:14,440 --> 01:00:17,520
Speaker 3: to the United Nations in Ghana because they was doing

1325
01:00:17,560 --> 01:00:20,200
Speaker 3: their AI adoption out there, and I talked to some

1326
01:00:20,240 --> 01:00:23,120
Speaker 3: of their top scientists and as I give them a

1327
01:00:23,160 --> 01:00:27,000
Speaker 3: breakdown about collgnitive warfare, they did not have an understanding

1328
01:00:27,040 --> 01:00:29,800
Speaker 3: of that right and hopefully some of them see some

1329
01:00:29,800 --> 01:00:31,960
Speaker 3: of this right now. And that's kind of why I'm

1330
01:00:32,000 --> 01:00:36,240
Speaker 3: passionate about it, because I see the next redlining here

1331
01:00:36,400 --> 01:00:40,360
Speaker 3: for us, and I see the next digital neo colonialism

1332
01:00:40,400 --> 01:00:43,120
Speaker 3: that happens through AI and it looks like advancement, but

1333
01:00:43,120 --> 01:00:46,400
Speaker 3: it's a trojan horse. When Elon Musk bought Twitter, he

1334
01:00:46,440 --> 01:00:49,280
Speaker 3: became a trillionaire because I look at it like this,

1335
01:00:49,960 --> 01:00:51,800
Speaker 3: and we own these platforms.

1336
01:00:51,200 --> 01:00:52,480
Speaker 2: And he became an influencer.

1337
01:00:52,560 --> 01:00:56,000
Speaker 3: CEO Tesla was going up thousands of dollars up to

1338
01:00:56,000 --> 01:00:59,840
Speaker 3: like five thousand dollars, and it wasn't a logical reason

1339
01:01:00,360 --> 01:01:04,120
Speaker 3: in my opinion, right, but it was because he was

1340
01:01:04,240 --> 01:01:08,720
Speaker 3: using the algorithm to push those coin He was pushing bitcoin,

1341
01:01:08,800 --> 01:01:10,320
Speaker 3: he was pushing crypto, and he like.

1342
01:01:10,240 --> 01:01:10,880
Speaker 2: Wait a minute.

1343
01:01:11,160 --> 01:01:14,720
Speaker 3: I can tweet out things and move markets, but when

1344
01:01:14,800 --> 01:01:17,400
Speaker 3: you are somebody that understands systems, you say, Okay, what's

1345
01:01:17,440 --> 01:01:19,919
Speaker 3: the real value here? If my stock is not going

1346
01:01:20,000 --> 01:01:21,880
Speaker 3: up for earnings, My stock is not going up for

1347
01:01:21,960 --> 01:01:25,200
Speaker 3: something I'm doing, it's because I am using this social

1348
01:01:25,240 --> 01:01:26,040
Speaker 3: media platform.

1349
01:01:26,080 --> 01:01:27,880
Speaker 1: So attention is the most valuable thing.

1350
01:01:28,440 --> 01:01:31,600
Speaker 3: So let me just buy instead of being a passenger, right,

1351
01:01:31,720 --> 01:01:34,360
Speaker 3: let me buy the whole vehicle. And when I think

1352
01:01:34,400 --> 01:01:36,680
Speaker 3: he bought Twitter at a time where everybody was saying

1353
01:01:36,680 --> 01:01:40,200
Speaker 3: forty four billion dollars was a bad deal. He understood

1354
01:01:40,800 --> 01:01:43,160
Speaker 3: that no attention is the only thing that would matter

1355
01:01:43,200 --> 01:01:43,760
Speaker 3: in the future.

1356
01:01:43,960 --> 01:01:47,400
Speaker 1: Best buy. Ever, so if I buy this, yeah, then

1357
01:01:47,440 --> 01:01:48,680
Speaker 1: I can become a trillionaire.

1358
01:01:49,000 --> 01:01:51,720
Speaker 2: And he did, you control the You control the you know,

1359
01:01:51,800 --> 01:01:56,600
Speaker 2: I think people don't understand like stocks are, they're they're

1360
01:01:56,640 --> 01:02:01,320
Speaker 2: sold on sentiment. Yeah, public sentiments like like obviously like yeah,

1361
01:02:01,360 --> 01:02:02,160
Speaker 2: profitability all that.

1362
01:02:02,200 --> 01:02:05,640
Speaker 1: But there's a reason why, you know, Navidia earnings will

1363
01:02:05,640 --> 01:02:07,640
Speaker 1: come out and it'll be great, and then the day

1364
01:02:07,640 --> 01:02:11,240
Speaker 1: that they drop, the fucking stock drops because people take

1365
01:02:11,280 --> 01:02:13,480
Speaker 1: their people take their profits, right, And.

1366
01:02:13,440 --> 01:02:16,520
Speaker 3: There's multiple factors that go into that public sentiment and

1367
01:02:16,560 --> 01:02:17,360
Speaker 3: how it was affected.

1368
01:02:17,480 --> 01:02:19,520
Speaker 1: What do you think about I saw you say, uh

1369
01:02:20,240 --> 01:02:23,280
Speaker 1: uh SpaceX, I po there's new money in the streets.

1370
01:02:23,280 --> 01:02:26,040
Speaker 1: Obviously it's I think it's around two tovering around two hundred.

1371
01:02:26,080 --> 01:02:28,280
Speaker 1: I want to say it came up. Was it a

1372
01:02:28,280 --> 01:02:33,720
Speaker 1: buck fifty had a top number? But what are your

1373
01:02:33,760 --> 01:02:37,400
Speaker 1: thoughts on like SpaceX and JA. I mean, obviously I

1374
01:02:37,440 --> 01:02:39,960
Speaker 1: think Elon I want to say he has a deal

1375
01:02:40,400 --> 01:02:43,680
Speaker 1: that further incentivizes him to make more money because I

1376
01:02:43,720 --> 01:02:47,440
Speaker 1: think his exit deal that he signed with Tesla was

1377
01:02:47,480 --> 01:02:50,000
Speaker 1: he had to I think his portion had to be

1378
01:02:50,080 --> 01:02:52,680
Speaker 1: like a trillion dollars or something just to get out

1379
01:02:52,680 --> 01:02:54,240
Speaker 1: of Tesla. Did you see that that was like earlier

1380
01:02:54,240 --> 01:02:58,880
Speaker 1: this year. Yeah, So now they're SpaceX. I do think

1381
01:02:59,760 --> 01:03:03,800
Speaker 1: it's Starlink is probably like the most valuable of all

1382
01:03:03,800 --> 01:03:06,880
Speaker 1: of these companies if you really think about, like how

1383
01:03:07,040 --> 01:03:10,040
Speaker 1: the scalability of it. But what do you think about

1384
01:03:10,040 --> 01:03:11,880
Speaker 1: SpaceX as an investment just in general?

1385
01:03:11,960 --> 01:03:16,080
Speaker 3: Like, well, it's going up because I think only four

1386
01:03:16,080 --> 01:03:18,560
Speaker 3: percent is being traded right now, right, the rest is

1387
01:03:18,600 --> 01:03:22,640
Speaker 3: still locked up. So everybody like a factory when I

1388
01:03:22,680 --> 01:03:27,560
Speaker 3: was around the table when they got a allocation towards

1389
01:03:27,840 --> 01:03:32,000
Speaker 3: SpaceX early, right, so people that was in factory club

1390
01:03:32,360 --> 01:03:36,160
Speaker 3: was able to invest in SpaceX before it goes to market. Wow, Right,

1391
01:03:36,240 --> 01:03:38,520
Speaker 3: So that investment and a lot of people don't get

1392
01:03:38,520 --> 01:03:40,560
Speaker 3: into what they call alpha deals or private deals, right,

1393
01:03:40,600 --> 01:03:43,040
Speaker 3: which is what real money is made in the private markets.

1394
01:03:43,480 --> 01:03:45,240
Speaker 3: But if we're looking at the public markets, were looking

1395
01:03:45,280 --> 01:03:47,920
Speaker 3: at retail traders are looking at four percent of Tesla

1396
01:03:47,960 --> 01:03:51,000
Speaker 3: stock or SpaceX stock being traded. The rest is locked

1397
01:03:51,080 --> 01:03:53,160
Speaker 3: up for whatever period that Eline has said.

1398
01:03:53,200 --> 01:03:54,840
Speaker 1: I forget how much it was.

1399
01:03:55,280 --> 01:03:57,960
Speaker 3: But you're then going to see people start selling some

1400
01:03:58,040 --> 01:04:00,960
Speaker 3: of that because right now they may be aper billionaires,

1401
01:04:01,000 --> 01:04:03,880
Speaker 3: paper wants sending to millionaires, but they want to go

1402
01:04:03,920 --> 01:04:06,440
Speaker 3: buy cars, They want to go goddamn buy yachts, and

1403
01:04:06,720 --> 01:04:08,680
Speaker 3: they want to go then and go invest in companies

1404
01:04:08,680 --> 01:04:11,040
Speaker 3: that they believe in that they probably are already writing

1405
01:04:11,120 --> 01:04:14,880
Speaker 3: checks too, exactly, And that's when you're going to see

1406
01:04:14,960 --> 01:04:18,000
Speaker 3: movement within the stock right. And but at the same time,

1407
01:04:18,080 --> 01:04:21,600
Speaker 3: I think that we're in untold territories just as far

1408
01:04:21,640 --> 01:04:24,160
Speaker 3: as where the world is right now, right, and the

1409
01:04:24,200 --> 01:04:26,560
Speaker 3: moves that Elin is going to be making, and how

1410
01:04:26,600 --> 01:04:29,120
Speaker 3: he's leveraging whatever this SpaceX thing is. You got to

1411
01:04:29,120 --> 01:04:33,800
Speaker 3: remember his dream was to create an everything company X, right,

1412
01:04:33,880 --> 01:04:36,000
Speaker 3: and he's packaging all of these companies up.

1413
01:04:36,520 --> 01:04:39,720
Speaker 2: The question becomes is it too big to fill? Right?

1414
01:04:39,840 --> 01:04:43,280
Speaker 3: Like if Elon must died today, what would happen with SpaceX?

1415
01:04:44,360 --> 01:04:47,000
Speaker 3: You know, because the company is heavily dependent upon him.

1416
01:04:47,440 --> 01:04:49,680
Speaker 3: But then the question that I think is greater is

1417
01:04:50,320 --> 01:04:53,880
Speaker 3: anytime you have a massive wealth event like this, it

1418
01:04:53,960 --> 01:04:59,280
Speaker 3: lets you know the direction of where wealth is going, right, robotics, AI, tech, space,

1419
01:05:00,160 --> 01:05:02,800
Speaker 3: because the rest of the wealth is you know, looking

1420
01:05:02,920 --> 01:05:05,439
Speaker 3: at this is what works, this is what has worked.

1421
01:05:05,480 --> 01:05:07,640
Speaker 3: Now how do we get similar same results as well?

1422
01:05:08,280 --> 01:05:10,480
Speaker 3: People don't want him to be the only trillionaire, you

1423
01:05:10,560 --> 01:05:11,080
Speaker 3: know what I'm saying.

1424
01:05:11,440 --> 01:05:13,800
Speaker 1: It's funny because now that he's kind of kicked that

1425
01:05:13,840 --> 01:05:17,320
Speaker 1: door down. Yeah, there's gonna be another, I would say

1426
01:05:17,320 --> 01:05:19,240
Speaker 1: in the next five years, will be another one. Yeah.

1427
01:05:19,280 --> 01:05:22,040
Speaker 3: I think that we're entering into untold territories and I

1428
01:05:22,080 --> 01:05:23,920
Speaker 3: think that people have to be willing to open their

1429
01:05:23,960 --> 01:05:27,480
Speaker 3: imagination up. Sometimes you can use cycles, right, So some

1430
01:05:27,480 --> 01:05:29,320
Speaker 3: people will look at the fundamentals of the company. The

1431
01:05:29,360 --> 01:05:32,360
Speaker 3: company has no earning. So you already got a company

1432
01:05:32,400 --> 01:05:34,920
Speaker 3: that's trading one hundred times multiple with no earnings. You

1433
01:05:34,920 --> 01:05:38,160
Speaker 3: got a trillion dollar, goddamn trillionaire with no earnings from space.

1434
01:05:38,280 --> 01:05:40,200
Speaker 1: Yes, for sure, it's an idea. I mean, obviously it's

1435
01:05:40,200 --> 01:05:42,240
Speaker 1: a company, but it's it's the proof of concept that

1436
01:05:42,200 --> 01:05:44,720
Speaker 1: is very selfmading. Rockets and all that. I don't care

1437
01:05:44,760 --> 01:05:45,800
Speaker 1: about them, you know what I'm saying.

1438
01:05:46,360 --> 01:05:48,760
Speaker 3: But the reality of it is is that I think

1439
01:05:48,800 --> 01:05:51,400
Speaker 3: that you are looking at a new playbook. You're looking

1440
01:05:51,480 --> 01:05:53,960
Speaker 3: at a completely new world, and you have to be

1441
01:05:54,040 --> 01:05:56,760
Speaker 3: willing to open your mind to even understand that some

1442
01:05:56,800 --> 01:06:00,160
Speaker 3: of the previous cycles you can't use to address what

1443
01:06:00,200 --> 01:06:01,280
Speaker 3: this current cycle is.

1444
01:06:01,760 --> 01:06:02,920
Speaker 1: Crazy things can happen.

1445
01:06:03,440 --> 01:06:05,720
Speaker 3: People weren't looking at bitcoin as it would have ever

1446
01:06:05,760 --> 01:06:07,920
Speaker 3: gotten to where it is, around with sixty thousand, then

1447
01:06:07,920 --> 01:06:10,200
Speaker 3: it got up to one hundred and twenty thousands. They

1448
01:06:10,200 --> 01:06:13,680
Speaker 3: thought that was impossible because everything that they had in

1449
01:06:13,720 --> 01:06:16,439
Speaker 3: the textbook that told them that it wasn't going to work,

1450
01:06:16,520 --> 01:06:20,080
Speaker 3: they were using and they were wrong. Right, All coins

1451
01:06:20,160 --> 01:06:23,080
Speaker 3: they went up skyrocket made people all kind of millions.

1452
01:06:23,520 --> 01:06:26,360
Speaker 3: People never seen them kind of returns. Next thing, you know,

1453
01:06:26,400 --> 01:06:30,439
Speaker 3: you start seeing the stock market perform like the crypto market. Right,

1454
01:06:30,760 --> 01:06:33,360
Speaker 3: the question becomes is will the stark Is there going

1455
01:06:33,400 --> 01:06:34,760
Speaker 3: to be a stock that's a bitcoin?

1456
01:06:35,680 --> 01:06:35,880
Speaker 1: Right?

1457
01:06:36,240 --> 01:06:38,960
Speaker 3: If there's the closest one to it, maybe specsc a

1458
01:06:39,040 --> 01:06:42,440
Speaker 3: space X. But then how long can the market sustain

1459
01:06:43,040 --> 01:06:45,080
Speaker 3: not being connected to reality?

1460
01:06:45,160 --> 01:06:49,120
Speaker 1: Yeah, because it's right now it's sentiment strictly sentiment and vibes.

1461
01:06:48,960 --> 01:06:51,400
Speaker 3: Right, buzz, And then you got the new markets that's

1462
01:06:51,400 --> 01:06:53,440
Speaker 3: going to be coming. Of course, all of this longevity

1463
01:06:53,440 --> 01:06:57,640
Speaker 3: and health and biotech sciences, and then you got quantum, right,

1464
01:06:57,720 --> 01:07:00,720
Speaker 3: and so I think that the word's gonna as things

1465
01:07:00,760 --> 01:07:01,600
Speaker 3: are progressing.

1466
01:07:01,800 --> 01:07:05,800
Speaker 1: Quantum computing for people who don't know, is like it's

1467
01:07:05,840 --> 01:07:07,400
Speaker 1: supposed to be the I mean, I want to say,

1468
01:07:07,520 --> 01:07:09,320
Speaker 1: is China ahead of us on the quantum computing?

1469
01:07:09,400 --> 01:07:12,480
Speaker 3: You got China, you got Israel's doing some stuff in quantum,

1470
01:07:12,600 --> 01:07:14,840
Speaker 3: Chryinga doing stuff with fusion and quantum. But then you

1471
01:07:14,960 --> 01:07:18,600
Speaker 3: got Microsoft, you got all these different companies that say

1472
01:07:18,560 --> 01:07:21,040
Speaker 3: in quantum quantum is still it's like a world race

1473
01:07:21,160 --> 01:07:21,560
Speaker 3: right now.

1474
01:07:21,640 --> 01:07:24,160
Speaker 1: Right, it's still very much infatile.

1475
01:07:24,120 --> 01:07:28,240
Speaker 3: Because in video is like compressing all of the requirement

1476
01:07:28,320 --> 01:07:30,320
Speaker 3: of having so much data and putting it in these

1477
01:07:30,320 --> 01:07:31,000
Speaker 3: small chips.

1478
01:07:31,080 --> 01:07:32,440
Speaker 1: It's gonna get to a point where you can.

1479
01:07:32,360 --> 01:07:34,960
Speaker 3: Run these small you can run a full AI model

1480
01:07:35,000 --> 01:07:37,560
Speaker 3: on your computer. Right that what if let's say it

1481
01:07:37,600 --> 01:07:41,560
Speaker 3: took a whole multiple computers to run. It's where everybody's

1482
01:07:41,600 --> 01:07:42,840
Speaker 3: gonna get the Mac minis.

1483
01:07:42,600 --> 01:07:43,680
Speaker 1: To run AI agents.

1484
01:07:44,160 --> 01:07:45,800
Speaker 3: Well, it gets to a point where you can run

1485
01:07:45,840 --> 01:07:49,000
Speaker 3: that on your computer and everybody has a personal AI agent.

1486
01:07:49,360 --> 01:07:50,880
Speaker 3: But then it's gonna get to a point where when

1487
01:07:50,880 --> 01:07:54,520
Speaker 3: you can connect them to quantum plus AI, then you're

1488
01:07:54,560 --> 01:07:57,280
Speaker 3: going to go into security, because how do you it's

1489
01:07:57,320 --> 01:07:59,160
Speaker 3: at the point where quantum gonna be able to crack

1490
01:07:59,200 --> 01:08:01,560
Speaker 3: the bitcoin, right, how you're going to be able to

1491
01:08:01,600 --> 01:08:02,480
Speaker 3: secure anything?

1492
01:08:02,760 --> 01:08:02,920
Speaker 1: Right?

1493
01:08:03,000 --> 01:08:08,480
Speaker 3: So there are some cryptos even stocks out there that's

1494
01:08:08,520 --> 01:08:10,720
Speaker 3: thinking about solving this problem. But I don't think it's

1495
01:08:10,720 --> 01:08:14,320
Speaker 3: fully solved until really the threat becomes right imminent, because

1496
01:08:14,320 --> 01:08:17,120
Speaker 3: these AI are already good at doing it right without

1497
01:08:17,160 --> 01:08:20,599
Speaker 3: them being connected to that quantum side. So I think

1498
01:08:20,720 --> 01:08:22,880
Speaker 3: we go go into a real sci fi type world,

1499
01:08:23,400 --> 01:08:25,360
Speaker 3: you know what I'm saying, And I don't think nobody

1500
01:08:25,360 --> 01:08:26,120
Speaker 3: owns the future.

1501
01:08:26,200 --> 01:08:29,400
Speaker 1: Do you still think the video's underpriced? No?

1502
01:08:30,600 --> 01:08:33,280
Speaker 3: I think though the video may be misunderstood. Still, Like

1503
01:08:33,320 --> 01:08:35,640
Speaker 3: the way they're creating chips is they're using AI to

1504
01:08:35,680 --> 01:08:39,680
Speaker 3: create chips at such a small level, right, Like they

1505
01:08:39,720 --> 01:08:42,639
Speaker 3: got the laser lithography, they got these small where they

1506
01:08:43,040 --> 01:08:46,280
Speaker 3: it's almost like they're doing engineering science on sales the

1507
01:08:46,280 --> 01:08:50,479
Speaker 3: way they're creating chips, right. And I think all of

1508
01:08:50,520 --> 01:08:52,719
Speaker 3: AI and a lot of this tech in the future

1509
01:08:52,880 --> 01:08:55,880
Speaker 3: has the black box problem where they know the outcome

1510
01:08:55,960 --> 01:08:57,280
Speaker 3: it can produce, but they don't.

1511
01:08:57,080 --> 01:09:00,400
Speaker 1: Know how it's actually working, right, and these.

1512
01:09:00,280 --> 01:09:01,240
Speaker 2: Companies are like that.

1513
01:09:01,680 --> 01:09:04,320
Speaker 3: But the question ain't even really like that company has

1514
01:09:04,400 --> 01:09:05,960
Speaker 3: already the trallion dollar company.

1515
01:09:06,000 --> 01:09:07,320
Speaker 1: Yeah, I mean I'm talking about the stock like I

1516
01:09:07,360 --> 01:09:09,840
Speaker 1: wonder if Yeah, Like I just think like, there's so

1517
01:09:09,880 --> 01:09:13,920
Speaker 1: many of these, like you know, there's like AMD, there's Micron,

1518
01:09:14,040 --> 01:09:18,519
Speaker 1: And I feel like if every time I think, like, okay,

1519
01:09:18,560 --> 01:09:21,120
Speaker 1: do I sell, it'll go back down to like a

1520
01:09:21,160 --> 01:09:24,200
Speaker 1: buck ninety a buck eighty. I tell you, the real

1521
01:09:24,240 --> 01:09:27,479
Speaker 1: come up was when it was like ninety two bucks

1522
01:09:27,560 --> 01:09:28,000
Speaker 1: last year.

1523
01:09:28,080 --> 01:09:31,720
Speaker 3: Yeah, but I think that again, this is just me.

1524
01:09:31,800 --> 01:09:34,400
Speaker 3: This is an opinion more than anything. But when I

1525
01:09:34,439 --> 01:09:36,880
Speaker 3: look at stock prices right now, right when you have

1526
01:09:36,960 --> 01:09:41,000
Speaker 3: a trillionaire, the gap between the poorest person and the

1527
01:09:41,080 --> 01:09:42,120
Speaker 3: richest person.

1528
01:09:42,080 --> 01:09:43,639
Speaker 1: Right has changed, never.

1529
01:09:43,520 --> 01:09:48,120
Speaker 3: Been so even from the gap between again Jeff Bezos

1530
01:09:48,160 --> 01:09:50,840
Speaker 3: and Eli Muss, is this huge gap that has to

1531
01:09:50,880 --> 01:09:53,920
Speaker 3: be filled, right, and people now the trajectory is how

1532
01:09:53,920 --> 01:09:56,720
Speaker 3: do we fill that gap from the richest because now

1533
01:09:56,800 --> 01:09:59,800
Speaker 3: capitalism has a new mark, right, And I think we're

1534
01:09:59,840 --> 01:10:02,639
Speaker 3: going and to get a crazy ass world that comes

1535
01:10:02,720 --> 01:10:05,880
Speaker 3: out of that pursuit and ambition to become the next trillionaire,

1536
01:10:06,320 --> 01:10:09,240
Speaker 3: right and companies to become ten trillion dollar companies and

1537
01:10:09,240 --> 01:10:12,120
Speaker 3: one hundred trillion dollar companies. Then when you ask, what

1538
01:10:12,200 --> 01:10:16,000
Speaker 3: are stock prices anymore? These are empires that you invested in.

1539
01:10:16,040 --> 01:10:17,560
Speaker 3: These are not companies.

1540
01:10:17,240 --> 01:10:19,639
Speaker 1: Who what companies would you bet on to become those

1541
01:10:19,920 --> 01:10:21,560
Speaker 1: those trillion dollar companies?

1542
01:10:21,960 --> 01:10:23,880
Speaker 3: Some of them may not even be on the radar yet.

1543
01:10:23,920 --> 01:10:25,640
Speaker 3: But I would just say the ones that, well, all

1544
01:10:25,680 --> 01:10:27,120
Speaker 3: you say trillion dollar company.

1545
01:10:26,880 --> 01:10:29,120
Speaker 1: Well you say, you said they already exist.

1546
01:10:29,200 --> 01:10:30,040
Speaker 2: The trillion dollar.

1547
01:10:29,800 --> 01:10:32,000
Speaker 1: Companies exist, tenion, is what you said.

1548
01:10:32,320 --> 01:10:36,639
Speaker 3: I would look at the ones that's already trillion dollar companies,

1549
01:10:37,280 --> 01:10:37,800
Speaker 3: you know what I mean?

1550
01:10:37,880 --> 01:10:41,640
Speaker 1: Like they're only going to get more powerful.

1551
01:10:41,680 --> 01:10:45,320
Speaker 2: Because they just buy up everything, right, Like Elon just

1552
01:10:45,360 --> 01:10:48,280
Speaker 2: bought a company under SpaceX. Right when you got a

1553
01:10:48,280 --> 01:10:50,040
Speaker 2: trillion dollars, you got all the leverage in the world,

1554
01:10:50,080 --> 01:10:52,800
Speaker 2: you got infinite money. So they're too big to fail

1555
01:10:52,840 --> 01:10:55,519
Speaker 2: at this point because you invent something that could be

1556
01:10:55,560 --> 01:10:58,040
Speaker 2: competitive to that and they just buy you out. There's

1557
01:10:58,040 --> 01:11:00,320
Speaker 2: a patent that just popped up somewhere. They just bought

1558
01:11:00,320 --> 01:11:02,400
Speaker 2: that patent that would have took their company out.

1559
01:11:02,640 --> 01:11:06,120
Speaker 3: Right, Once you become these empires again, fuck companies. These

1560
01:11:06,160 --> 01:11:12,439
Speaker 3: are empires. Right, These are huge techno feudalism empires, and

1561
01:11:12,520 --> 01:11:15,040
Speaker 3: we keep treating them like they companies because we invested

1562
01:11:15,080 --> 01:11:17,559
Speaker 3: in them as if this is still just a regular

1563
01:11:17,600 --> 01:11:18,200
Speaker 3: stock market.

1564
01:11:18,240 --> 01:11:20,240
Speaker 1: It's like a much larger scale of what Amazon's been

1565
01:11:20,240 --> 01:11:22,679
Speaker 1: doing to like small sellers on their site for years.

1566
01:11:22,680 --> 01:11:24,680
Speaker 1: Like Amazon will see like a small seller with like

1567
01:11:24,720 --> 01:11:27,679
Speaker 1: a product that works, and they'll just it'll be getting

1568
01:11:27,680 --> 01:11:29,559
Speaker 1: sold on their site and then they'll just steal it

1569
01:11:29,600 --> 01:11:30,040
Speaker 1: and make it.

1570
01:11:30,160 --> 01:11:34,559
Speaker 3: Yeah, and they will do a documentary in an interview

1571
01:11:34,560 --> 01:11:37,400
Speaker 3: about it. Because when you do something like that and

1572
01:11:37,439 --> 01:11:39,360
Speaker 3: the people behind this one people know they.

1573
01:11:39,200 --> 01:11:41,320
Speaker 1: Did it, like, yeah, I did it. Maybe not the

1574
01:11:41,320 --> 01:11:42,920
Speaker 1: best thing for the world, but I did it.

1575
01:11:43,080 --> 01:11:45,760
Speaker 3: Yeah, Right, But who cares because what you're gonna do

1576
01:11:46,200 --> 01:11:49,639
Speaker 3: that documentary comes out, nothing changes, Amazon gets bigger.

1577
01:11:50,200 --> 01:11:54,120
Speaker 1: What are your thoughts. I've been seeing jay Z get

1578
01:11:54,160 --> 01:11:57,040
Speaker 1: some negative feedback, which I thought I thought was a

1579
01:11:57,040 --> 01:12:01,559
Speaker 1: little unfair for doing an exclusive to drop a Target,

1580
01:12:01,560 --> 01:12:04,320
Speaker 1: which I feel like every rapper does. I got a

1581
01:12:04,360 --> 01:12:08,519
Speaker 1: Kendrick exclusive vinyl from Target. Yeah yeah, But I mean,

1582
01:12:08,680 --> 01:12:10,840
Speaker 1: I guess do you feel like a guy like jay

1583
01:12:10,880 --> 01:12:13,760
Speaker 1: Z has like a greater responsibility to the cause if

1584
01:12:13,760 --> 01:12:17,799
Speaker 1: you will or I think it's interesting.

1585
01:12:17,800 --> 01:12:22,080
Speaker 3: I've been kind of marinate on that one because I

1586
01:12:22,080 --> 01:12:26,559
Speaker 3: didn't know j cole Or and Kendrick had did the

1587
01:12:26,640 --> 01:12:33,280
Speaker 3: Target exclusive stuff during the boycott. Right, I'm with any boycott.

1588
01:12:33,479 --> 01:12:35,280
Speaker 3: That's kind of how I meant you feel me, Like,

1589
01:12:35,680 --> 01:12:38,559
Speaker 3: if we want to boycott anybody that does something negative

1590
01:12:38,600 --> 01:12:40,360
Speaker 3: to the black community, and black community says if we

1591
01:12:40,439 --> 01:12:42,439
Speaker 3: boycotting them, I don't even need to know the reason why,

1592
01:12:42,479 --> 01:12:44,000
Speaker 3: for real, I'm just with it.

1593
01:12:44,160 --> 01:12:45,040
Speaker 1: Yeah, you feel me?

1594
01:12:45,120 --> 01:12:48,479
Speaker 3: And so jay Z is a capitalist. I don't think

1595
01:12:48,520 --> 01:12:51,600
Speaker 3: he's ever made apologies for being a capitalist. And I

1596
01:12:51,600 --> 01:12:53,320
Speaker 3: think the problem is is that we keep trying to

1597
01:12:53,320 --> 01:12:56,960
Speaker 3: put people in categories right that they're not in. Jay

1598
01:12:57,080 --> 01:13:01,120
Speaker 3: Z is not some person that's that's that's sacrificing money

1599
01:13:01,120 --> 01:13:01,759
Speaker 3: for moros.

1600
01:13:02,240 --> 01:13:05,240
Speaker 1: He says that I'm a billionaire. I'm a businessman. You

1601
01:13:05,320 --> 01:13:05,880
Speaker 1: understand me.

1602
01:13:06,040 --> 01:13:10,240
Speaker 3: He is a Black Republican. He is a billionaire, and

1603
01:13:10,320 --> 01:13:14,800
Speaker 3: he uses that as his moniker for his identity of

1604
01:13:14,840 --> 01:13:17,680
Speaker 3: who he is. Right, he tells people, y'all looking at

1605
01:13:17,720 --> 01:13:19,519
Speaker 3: the wrong charts. Don't look at me as a black

1606
01:13:19,520 --> 01:13:22,400
Speaker 3: man and a rapper, look at me as a capitalist. Billionaire.

1607
01:13:23,000 --> 01:13:25,880
Speaker 3: So if you're judging those moves for him, he's being

1608
01:13:25,960 --> 01:13:28,320
Speaker 3: successful because he's making the moves that is aligned with

1609
01:13:28,360 --> 01:13:31,599
Speaker 3: the identity that he has said, that's the one that's

1610
01:13:31,640 --> 01:13:32,599
Speaker 3: most important to him.

1611
01:13:32,920 --> 01:13:36,560
Speaker 1: He's doing the billionaires. Yeah, so when people tell you

1612
01:13:36,600 --> 01:13:37,720
Speaker 1: who they are, believe him.

1613
01:13:37,800 --> 01:13:40,600
Speaker 3: I think that the people keep getting like, it's just

1614
01:13:40,680 --> 01:13:42,920
Speaker 3: weird that we act surprised every time something happened.

1615
01:13:43,280 --> 01:13:46,200
Speaker 1: Right, he put Kendrick Lamar on the super Bowl.

1616
01:13:46,320 --> 01:13:48,760
Speaker 3: We love the super Bowl, but then we had a conversation.

1617
01:13:48,880 --> 01:13:51,439
Speaker 3: We hate the fact that jay Z is the one

1618
01:13:51,439 --> 01:13:53,959
Speaker 3: that's heading it because of the thing that happened with Kaepernick.

1619
01:13:54,240 --> 01:13:56,320
Speaker 3: But then Kaepernick took the easy ride out and when

1620
01:13:56,360 --> 01:13:57,160
Speaker 3: it got a check too.

1621
01:13:58,479 --> 01:14:01,120
Speaker 2: That's what I'm saying. So again, I think.

1622
01:14:01,000 --> 01:14:04,320
Speaker 3: A lot of it that the outrage be fake, the

1623
01:14:04,360 --> 01:14:08,960
Speaker 3: strategies be ineffective, and the people are disorganized, right, and

1624
01:14:09,040 --> 01:14:11,400
Speaker 3: so a lot of this stuff just don't matter, right,

1625
01:14:11,479 --> 01:14:15,160
Speaker 3: Like what jay Z is doing. If you're supporting it, right,

1626
01:14:15,240 --> 01:14:17,599
Speaker 3: then it matters. If you're not supporting it, go about

1627
01:14:17,640 --> 01:14:20,519
Speaker 3: your day. Stop giving everything more attention.

1628
01:14:20,640 --> 01:14:23,240
Speaker 1: It only helps. Not everything needs to be a thing,

1629
01:14:23,320 --> 01:14:25,320
Speaker 1: because there's so many things that should be a thing.

1630
01:14:25,520 --> 01:14:27,559
Speaker 3: Yeah, there was people that didn't know that jay Z

1631
01:14:27,680 --> 01:14:29,840
Speaker 3: was dropping that target thing that are fans of jay Z,

1632
01:14:30,280 --> 01:14:30,840
Speaker 3: and then when.

1633
01:14:30,680 --> 01:14:32,400
Speaker 2: They seen it, Oh, thank you for letting me know.

1634
01:14:32,439 --> 01:14:33,439
Speaker 2: Now I'm gonna go by it.

1635
01:14:34,320 --> 01:14:36,840
Speaker 1: Hey, I'm one of those guys.

1636
01:14:37,920 --> 01:14:40,519
Speaker 3: You gotta understand the way attention work. That's why, like

1637
01:14:40,600 --> 01:14:42,400
Speaker 3: some things, I just don't talk about it at all

1638
01:14:42,520 --> 01:14:44,360
Speaker 3: unless I want to bring attention to it.

1639
01:14:44,760 --> 01:14:46,600
Speaker 1: Yeah. I feel like there's so much shit to be

1640
01:14:46,600 --> 01:14:51,240
Speaker 1: outraged about in the world today that like, Yo, man,

1641
01:14:51,520 --> 01:14:53,880
Speaker 1: let's just talk about like how many kids died in

1642
01:14:53,960 --> 01:14:57,000
Speaker 1: levinon this week, you know what I'm saying, Like, or

1643
01:14:57,160 --> 01:14:59,519
Speaker 1: just by what we organize in the building. Yeah, you

1644
01:14:59,520 --> 01:15:02,559
Speaker 1: know what I mean, keep on bringing up the Epstein file. Please.

1645
01:15:02,800 --> 01:15:05,920
Speaker 3: The world is not all negative, right, right, And if

1646
01:15:05,960 --> 01:15:08,519
Speaker 3: we do that, we become nihilistic. We burnt out from

1647
01:15:08,600 --> 01:15:11,479
Speaker 3: hope of the future, right, And I think that that's dangerous.

1648
01:15:11,520 --> 01:15:13,920
Speaker 3: I don't think it's like online we like to shame

1649
01:15:13,960 --> 01:15:16,800
Speaker 3: people to try to get them to change psychologically, we

1650
01:15:16,880 --> 01:15:18,720
Speaker 3: learn that that doesn't work. It gets people to do

1651
01:15:18,760 --> 01:15:21,720
Speaker 3: the opposite. They start defending the person who they are right,

1652
01:15:21,800 --> 01:15:25,640
Speaker 3: And so we have these tactics, and we think that

1653
01:15:25,680 --> 01:15:28,160
Speaker 3: they're beneficial and effective, and a lot of times they

1654
01:15:28,160 --> 01:15:31,880
Speaker 3: have the opposite effect. So my frustration is, you know,

1655
01:15:32,439 --> 01:15:36,280
Speaker 3: the movement that doesn't actually have real direction to it,

1656
01:15:36,800 --> 01:15:40,240
Speaker 3: And anytime somebody positions themselves as a so called voice

1657
01:15:40,320 --> 01:15:42,439
Speaker 3: or a leader, they will be attacked as well. So

1658
01:15:42,520 --> 01:15:45,080
Speaker 3: then you reposition to figure out what's the best strategy

1659
01:15:45,120 --> 01:15:47,479
Speaker 3: to be the most effective. Most of the work I'm

1660
01:15:47,520 --> 01:15:50,000
Speaker 3: doing right now behind the scenes, right, I'm not even

1661
01:15:50,040 --> 01:15:53,040
Speaker 3: putting it out there right because who cares. I don't

1662
01:15:53,080 --> 01:15:55,559
Speaker 3: need no more followers. I don't even want no more followers.

1663
01:15:55,560 --> 01:15:57,120
Speaker 3: If you've been locked in with me over the last

1664
01:15:57,120 --> 01:15:59,800
Speaker 3: ten years, was enough time to discover me, you understand me?

1665
01:15:59,840 --> 01:16:02,240
Speaker 3: I'm sureut and found the people I'm suposed to fellowship with.

1666
01:16:02,760 --> 01:16:04,240
Speaker 3: Those are the people I want to build with. In

1667
01:16:04,360 --> 01:16:06,360
Speaker 3: my phone up probably got billions of dollars in it.

1668
01:16:06,439 --> 01:16:08,400
Speaker 3: I need to figure out how to organize that. I

1669
01:16:08,520 --> 01:16:11,200
Speaker 3: need trying to think about meaningful movements that create real

1670
01:16:11,280 --> 01:16:14,519
Speaker 3: impact and institutions that can last over time. When I

1671
01:16:14,600 --> 01:16:17,120
Speaker 3: announce something, I'm announcing it because it's already real. I'm

1672
01:16:17,160 --> 01:16:19,479
Speaker 3: not waiting for nothing, you know, I mean anybody that

1673
01:16:19,600 --> 01:16:21,960
Speaker 3: wants to support me and invest in what I'm doing

1674
01:16:22,400 --> 01:16:25,800
Speaker 3: and have done cool we align what goes into the world.

1675
01:16:25,880 --> 01:16:27,560
Speaker 3: The only reason I'm talking about the world is so

1676
01:16:27,600 --> 01:16:29,840
Speaker 3: I can monetize off of it and get more resources

1677
01:16:29,920 --> 01:16:33,800
Speaker 3: into what I'm doing. But I wholly believe that ninety

1678
01:16:33,840 --> 01:16:36,759
Speaker 3: nine percent of the conversations we have on an Internet

1679
01:16:36,800 --> 01:16:39,439
Speaker 3: that is ninety percent ran by robots is meaningless.

1680
01:16:39,840 --> 01:16:42,800
Speaker 1: That's that's the real shit. What is your perspective on

1681
01:16:44,160 --> 01:16:48,840
Speaker 1: Zoramandannie who's obviously seemingly having a pretty a pretty successful

1682
01:16:50,080 --> 01:16:51,040
Speaker 1: Issalama Lakam.

1683
01:16:51,479 --> 01:16:53,080
Speaker 2: You know what I'm saying, Mom, Donnie. You know what

1684
01:16:53,080 --> 01:16:53,400
Speaker 2: I'm saying.

1685
01:16:53,439 --> 01:16:56,960
Speaker 1: I'm glad they got their first Muslim yugandin president and

1686
01:16:57,280 --> 01:17:01,560
Speaker 1: like in New York been win and maybe like the

1687
01:17:01,640 --> 01:17:04,960
Speaker 1: first real success case for like a democratic socialist.

1688
01:17:05,040 --> 01:17:06,400
Speaker 2: You know what I'm say, y'all should have been put

1689
01:17:06,439 --> 01:17:08,360
Speaker 2: a Muslim up there, That's all I'm gonna say.

1690
01:17:08,640 --> 01:17:12,360
Speaker 3: You know what I'm saying here an African Muslims such.

1691
01:17:13,200 --> 01:17:14,920
Speaker 1: I like anything that pissed people off.

1692
01:17:15,040 --> 01:17:17,320
Speaker 3: Mat when the pissed them people off, man, I'll be

1693
01:17:17,439 --> 01:17:21,040
Speaker 3: fod when I seen them called Michelle Obama man, Oh,

1694
01:17:21,120 --> 01:17:22,360
Speaker 3: y'all don't like Michelle Obama?

1695
01:17:22,439 --> 01:17:24,240
Speaker 1: What then I do like her? You know what I mean.

1696
01:17:24,439 --> 01:17:27,240
Speaker 2: I'm anti with y'all, Auntie, you feel me like, Oh,

1697
01:17:27,280 --> 01:17:29,760
Speaker 2: I'm pro with y'all antie like, that's that's how I am.

1698
01:17:29,920 --> 01:17:32,080
Speaker 3: If the enemy don't like it, then I'm rocking with you.

1699
01:17:32,439 --> 01:17:34,439
Speaker 3: But if you favored by the enemy, didn't fuck you,

1700
01:17:34,920 --> 01:17:37,560
Speaker 3: you understand me? And Mom, Donny, I think you know,

1701
01:17:38,640 --> 01:17:40,120
Speaker 3: you can't get to a point where you just want

1702
01:17:40,160 --> 01:17:43,040
Speaker 3: to overcriticize and look at every detailed little politician to

1703
01:17:43,080 --> 01:17:46,559
Speaker 3: figure out why something doesn't work. You know, Meaningful movements,

1704
01:17:46,640 --> 01:17:49,800
Speaker 3: most of the time are connected politically, right, Testling figure,

1705
01:17:49,840 --> 01:17:52,200
Speaker 3: I always talk about organized, and I believe in organized,

1706
01:17:52,240 --> 01:17:54,280
Speaker 3: and there's a lot of people that's doing meaningful things.

1707
01:17:54,680 --> 01:17:56,920
Speaker 3: And I say, let the thing play out, because what

1708
01:17:57,080 --> 01:17:59,519
Speaker 3: you get with people like him is somebody that's willing

1709
01:17:59,600 --> 01:18:01,439
Speaker 3: to do the thing that everybody else wouldn't do.

1710
01:18:01,760 --> 01:18:04,320
Speaker 1: Yeah. I think it's important that it works because it

1711
01:18:04,479 --> 01:18:08,519
Speaker 1: can show the like if it can work in New York, Yeah,

1712
01:18:08,800 --> 01:18:09,360
Speaker 1: it can work.

1713
01:18:09,720 --> 01:18:12,839
Speaker 3: Just hold them to fire, that's all. Once somebody is elected,

1714
01:18:12,960 --> 01:18:15,000
Speaker 3: that's not the time to be their friend. Yeah, that's

1715
01:18:15,080 --> 01:18:16,439
Speaker 3: the time to hold them to their word.

1716
01:18:17,000 --> 01:18:18,519
Speaker 1: Like like we were talking a little bit about the

1717
01:18:19,000 --> 01:18:23,200
Speaker 1: LA mayoral race and it got to the I mean,

1718
01:18:23,439 --> 01:18:26,720
Speaker 1: obviously now it's Nithie Rahman and Karen Bass, but it

1719
01:18:26,760 --> 01:18:29,160
Speaker 1: looked like it was gonna be Spencer Pratt and yeah, yeah,

1720
01:18:29,920 --> 01:18:33,320
Speaker 1: but it's like there's like as as awesome as New

1721
01:18:33,400 --> 01:18:37,200
Speaker 1: York feels from far away. Yeah, LA feels hopefully, But.

1722
01:18:37,240 --> 01:18:39,960
Speaker 3: I like, I just LA, ain't we ain't we ain't

1723
01:18:40,000 --> 01:18:43,560
Speaker 3: dissatisfied enough in California with that kind of change, like

1724
01:18:43,640 --> 01:18:47,080
Speaker 3: keeping uncomfortable, no, no, no, even with you know, I

1725
01:18:47,120 --> 01:18:49,760
Speaker 3: would say you should be, but New York has been

1726
01:18:49,800 --> 01:18:53,600
Speaker 3: through so much, you understand me, And so that dissatisfaction

1727
01:18:53,800 --> 01:18:57,000
Speaker 3: level rang to a fever pitch the same way America

1728
01:18:57,120 --> 01:18:59,400
Speaker 3: did to get Obama and Donald Trump.

1729
01:19:00,720 --> 01:19:03,040
Speaker 1: Trump is a result of that. Yeah, whatever you want

1730
01:19:03,080 --> 01:19:04,479
Speaker 1: to say. Trump is a result of that.

1731
01:19:04,640 --> 01:19:07,360
Speaker 3: But when you got somebody that understands social media, they

1732
01:19:07,479 --> 01:19:08,760
Speaker 3: understand the pain points of the.

1733
01:19:08,800 --> 01:19:11,160
Speaker 1: People, they can speak to that directly. Right.

1734
01:19:11,400 --> 01:19:14,240
Speaker 3: They can also be anti Zionists, right, and then they

1735
01:19:14,280 --> 01:19:17,760
Speaker 3: can be unapologetic about that, and they're not taking all

1736
01:19:17,840 --> 01:19:21,120
Speaker 3: of the money from the institutional machine while it's still.

1737
01:19:20,960 --> 01:19:24,080
Speaker 2: Time running a great campaign. Man, you get a combination

1738
01:19:24,240 --> 01:19:24,799
Speaker 2: for success.

1739
01:19:25,160 --> 01:19:28,240
Speaker 1: Yeah, shout out to Raffi Law Group our family. Yes,

1740
01:19:28,600 --> 01:19:31,120
Speaker 1: it's been so dope to partner with, you know, such

1741
01:19:31,160 --> 01:19:33,920
Speaker 1: a name and brand and somebody who I actually am

1742
01:19:33,960 --> 01:19:36,599
Speaker 1: a customer of. Shout out to Raffi Law Group, man

1743
01:19:36,880 --> 01:19:40,720
Speaker 1: Arizona's premier personal injury law firm. And I don't just

1744
01:19:40,840 --> 01:19:43,719
Speaker 1: put my name on anybody when we do this stuff

1745
01:19:43,760 --> 01:19:45,840
Speaker 1: on the Bootleg cap podcast and you see it's partnering

1746
01:19:45,920 --> 01:19:48,880
Speaker 1: with brands. We're very selective about who we connect with.

1747
01:19:49,240 --> 01:19:52,599
Speaker 1: And Raffi is someone who's actually helped my family, helped

1748
01:19:52,640 --> 01:19:55,519
Speaker 1: my wife get a settlement, all right, has helped over

1749
01:19:55,680 --> 01:19:59,800
Speaker 1: seventy thousand people in Arizona. No matter what happens, man,

1750
01:20:00,160 --> 01:20:03,639
Speaker 1: car accident, crash, injury, you maybe get bit by a dog,

1751
01:20:03,920 --> 01:20:07,200
Speaker 1: I don't know, whatever it is, Raffi Law Group makes

1752
01:20:07,240 --> 01:20:10,880
Speaker 1: the process less stressful. They put money in your pocket. Yes,

1753
01:20:11,200 --> 01:20:13,799
Speaker 1: the name you can trust. You already know, man, Raffi

1754
01:20:13,960 --> 01:20:16,920
Speaker 1: Law Group. Save the number just in case, because hey,

1755
01:20:16,960 --> 01:20:19,240
Speaker 1: you get into a car accident tomorrow, you gotta call

1756
01:20:19,439 --> 01:20:23,240
Speaker 1: Raffi six two three three eight eight four three three

1757
01:20:23,439 --> 01:20:25,720
Speaker 1: three and want to wish a big happy birthday to

1758
01:20:25,880 --> 01:20:28,000
Speaker 1: Raffi's just celebrated his fortieth birthday. We had a good

1759
01:20:28,040 --> 01:20:31,280
Speaker 1: time in Vegas. Fifty cent was there, pauly D was there,

1760
01:20:31,760 --> 01:20:35,000
Speaker 1: mad Rich was there, e c Rock was there. It

1761
01:20:35,160 --> 01:20:37,599
Speaker 1: was a movie all right, Secretary of State was there.

1762
01:20:37,640 --> 01:20:39,760
Speaker 1: We were just hanging out, Man Show. Look shout out

1763
01:20:39,800 --> 01:20:42,639
Speaker 1: to Brandon Raffi. Don't forget Raffi Law Group. The only

1764
01:20:42,720 --> 01:20:44,720
Speaker 1: calling you to make if you're an az and you

1765
01:20:44,800 --> 01:20:47,120
Speaker 1: get into an accident or you get into any sort

1766
01:20:47,160 --> 01:20:51,599
Speaker 1: of injury situation, they'll take care you immediately call Raffi. Baby.

1767
01:20:51,680 --> 01:20:54,040
Speaker 1: Let's get back to the podcast. Do you feel like

1768
01:20:55,680 --> 01:20:58,760
Speaker 1: because it even like six months ago, nine months ago,

1769
01:20:59,120 --> 01:21:04,680
Speaker 1: the idea of being like publicly anti Zionist. Yeah, I

1770
01:21:04,760 --> 01:21:06,840
Speaker 1: mean listen by the day, it's becoming more and more

1771
01:21:06,960 --> 01:21:09,640
Speaker 1: like it's a badge of honor today. Correct, But like

1772
01:21:09,760 --> 01:21:11,720
Speaker 1: even two years ago, it's like the I mean, if

1773
01:21:11,760 --> 01:21:13,240
Speaker 1: you think back to like what they try to do

1774
01:21:13,320 --> 01:21:15,840
Speaker 1: with Kyrie and shit, I mean, obviously Kanye had a

1775
01:21:16,000 --> 01:21:21,479
Speaker 1: very uh troublesome way of communicating his thoughts in regards

1776
01:21:21,560 --> 01:21:24,000
Speaker 1: to he should have just wrapped it the first time

1777
01:21:24,760 --> 01:21:26,759
Speaker 1: I mean that they but you know, if bank account

1778
01:21:26,760 --> 01:21:28,080
Speaker 1: got fucking deleted as well, I'll try to get to

1779
01:21:28,200 --> 01:21:31,479
Speaker 1: But but nonetheless he's back now, right right now, Like

1780
01:21:31,600 --> 01:21:35,040
Speaker 1: I think, you know this, the Zionist propaganda has kind

1781
01:21:35,120 --> 01:21:38,240
Speaker 1: of like run its course for a huge faction of

1782
01:21:38,280 --> 01:21:42,840
Speaker 1: our population. And you know, I think it's a good thing. Yeah,

1783
01:21:43,200 --> 01:21:44,920
Speaker 1: I think. I don't think you can run on the

1784
01:21:45,000 --> 01:21:47,120
Speaker 1: left and have a serious chance and be pro Israel.

1785
01:21:47,439 --> 01:21:49,760
Speaker 3: No, I mean, but that's the thing that people have tried,

1786
01:21:49,760 --> 01:21:52,320
Speaker 3: and that's why out of the Democrats have loss, right,

1787
01:21:52,439 --> 01:21:53,160
Speaker 3: they try to.

1788
01:21:53,160 --> 01:21:55,679
Speaker 1: Toe that line. What's the one lady, the black lady,

1789
01:21:56,120 --> 01:21:59,120
Speaker 1: Corey Bush that lost are you talking about in Texas? Yeah,

1790
01:21:59,720 --> 01:22:01,439
Speaker 1: Jack Crockett, Jasamin Crockett.

1791
01:22:01,600 --> 01:22:04,200
Speaker 2: She tried to run on that, you understand me, and

1792
01:22:04,280 --> 01:22:05,600
Speaker 2: then she supported.

1793
01:22:06,760 --> 01:22:09,840
Speaker 1: The guy who was running against Cory Bush Wesley. And

1794
01:22:10,560 --> 01:22:11,080
Speaker 1: here's the thing.

1795
01:22:11,240 --> 01:22:14,519
Speaker 3: It can't just be vaguely that I ain't taking money

1796
01:22:14,560 --> 01:22:19,080
Speaker 3: from them. It's like you have to be proactively against it.

1797
01:22:19,920 --> 01:22:22,960
Speaker 3: The people want to see you take a clear moral stance,

1798
01:22:23,479 --> 01:22:27,519
Speaker 3: show us what it shouldn't be an ambiguous answer. Oh

1799
01:22:27,560 --> 01:22:29,880
Speaker 3: I didn't say this, I said that they took it wrong. No,

1800
01:22:30,479 --> 01:22:33,439
Speaker 3: give us a clear moral stamp. So are you either

1801
01:22:33,520 --> 01:22:36,000
Speaker 3: with us or them? Let me tell you, man, people

1802
01:22:36,040 --> 01:22:40,640
Speaker 3: don't have time for ambiguity and ambiguity and people don't have.

1803
01:22:40,680 --> 01:22:43,280
Speaker 1: Time for nuance. They want to know everything is black

1804
01:22:43,320 --> 01:22:43,679
Speaker 1: and white.

1805
01:22:43,920 --> 01:22:45,519
Speaker 2: It's good and evil, you're good and evil?

1806
01:22:45,520 --> 01:22:48,639
Speaker 1: Who you with? Right? And maybe it's never that simple.

1807
01:22:48,760 --> 01:22:51,400
Speaker 3: Ever, It literally is never that simple, because sometimes you

1808
01:22:51,479 --> 01:22:54,479
Speaker 3: want to think about what is the best move to

1809
01:22:54,640 --> 01:22:58,280
Speaker 3: make right, And so you are weighing evil people to

1810
01:22:58,360 --> 01:22:59,920
Speaker 3: figure out how you can get the best.

1811
01:22:59,760 --> 01:23:03,599
Speaker 1: Out and because you're always, unfortunately in America, gonna vote

1812
01:23:03,600 --> 01:23:04,439
Speaker 1: for the lester of two years.

1813
01:23:04,520 --> 01:23:07,640
Speaker 3: Yeah, but these people have been bought a long time ago, right,

1814
01:23:08,000 --> 01:23:10,080
Speaker 3: And so I think that you have to realize that.

1815
01:23:10,200 --> 01:23:11,479
Speaker 1: These people are bought paid.

1816
01:23:11,880 --> 01:23:14,360
Speaker 3: And until you buy your own politicians and put them

1817
01:23:14,400 --> 01:23:18,040
Speaker 3: into position, right, you still are dealing with puppets that's

1818
01:23:18,080 --> 01:23:20,640
Speaker 3: on strings that you don't hold. That's the way I

1819
01:23:20,760 --> 01:23:23,160
Speaker 3: look at them, you know what I mean? And you

1820
01:23:23,320 --> 01:23:25,840
Speaker 3: might I've been saying these things early now that people

1821
01:23:25,920 --> 01:23:27,240
Speaker 3: get to see it, and I just sit back like

1822
01:23:27,320 --> 01:23:28,880
Speaker 3: Farcon does and smele that it.

1823
01:23:29,320 --> 01:23:31,439
Speaker 1: Yeah, it's like if you look at like, uh, this

1824
01:23:31,600 --> 01:23:35,320
Speaker 1: Peter til like group that is compiled. You see, Oh,

1825
01:23:36,000 --> 01:23:39,200
Speaker 1: there really is no difference between Corey Booker and JD. Vance.

1826
01:23:39,800 --> 01:23:44,960
Speaker 1: They just bicker on identity politics. They throw the football

1827
01:23:45,000 --> 01:23:47,519
Speaker 1: over there while you're looking. Meanwhile, they're over here aligned

1828
01:23:47,560 --> 01:23:48,400
Speaker 1: on all the real shit.

1829
01:23:48,520 --> 01:23:50,840
Speaker 2: Oh man, listen, going to the same good old boys

1830
01:23:51,400 --> 01:23:51,880
Speaker 2: money a lot.

1831
01:23:51,960 --> 01:23:54,360
Speaker 3: It's because the problem is is that we keep looking

1832
01:23:54,360 --> 01:23:57,360
Speaker 3: at it as a political issue, race issue, and it's

1833
01:23:57,400 --> 01:23:58,080
Speaker 3: always gonna be a.

1834
01:23:58,080 --> 01:23:59,720
Speaker 1: Class It's a class issue one hundred percent.

1835
01:24:00,040 --> 01:24:01,880
Speaker 3: And when you can get people to steer away from

1836
01:24:01,960 --> 01:24:04,760
Speaker 3: class warfare, that you can control them, right, you can

1837
01:24:04,840 --> 01:24:07,200
Speaker 3: throw in all of the conspiracies that you want to.

1838
01:24:07,640 --> 01:24:09,799
Speaker 3: But the simplification of it is looking at it as.

1839
01:24:09,680 --> 01:24:11,000
Speaker 1: A class issue. Right.

1840
01:24:11,200 --> 01:24:13,400
Speaker 3: It is the reason why white was created. It is

1841
01:24:13,479 --> 01:24:15,679
Speaker 3: the reason why you wanted to separate them from black people.

1842
01:24:15,720 --> 01:24:18,400
Speaker 3: I need you to see yourself as racial classes, right,

1843
01:24:18,520 --> 01:24:21,679
Speaker 3: not wealth classes, because when moment it becomes the people

1844
01:24:21,760 --> 01:24:26,280
Speaker 3: against the empire, moment it becomes the poor against the wealthy, right,

1845
01:24:26,320 --> 01:24:28,200
Speaker 3: you're going to have way more people that are poorer

1846
01:24:28,240 --> 01:24:30,679
Speaker 3: than are wealthy because the moment that we start talking

1847
01:24:30,720 --> 01:24:33,080
Speaker 3: about that most of the wealth is concentrated in a

1848
01:24:33,120 --> 01:24:35,840
Speaker 3: one percent of the ten percent. That means another ninety

1849
01:24:35,840 --> 01:24:37,280
Speaker 3: percent should be aligned.

1850
01:24:37,280 --> 01:24:39,680
Speaker 1: Because if you get that other ninety percent together right,

1851
01:24:40,200 --> 01:24:41,679
Speaker 1: so it'd be in theory a lot.

1852
01:24:41,840 --> 01:24:45,160
Speaker 3: It'd be very easy to the empire wins when the

1853
01:24:45,200 --> 01:24:47,240
Speaker 3: people fueled. So as long as we can keep the

1854
01:24:47,280 --> 01:24:50,400
Speaker 3: people divided, whatever way we need to do that, right,

1855
01:24:50,960 --> 01:24:54,360
Speaker 3: whether that's actually taking controlled opposition, not people that we

1856
01:24:54,560 --> 01:24:57,000
Speaker 3: actually created, but we might want to boost this platform

1857
01:24:57,080 --> 01:24:59,519
Speaker 3: to keep these sides distracting and fighting each other so

1858
01:24:59,600 --> 01:25:03,879
Speaker 3: that no fighting us. Right, you gotta simplify the problem

1859
01:25:03,960 --> 01:25:04,400
Speaker 3: with people.

1860
01:25:04,800 --> 01:25:06,880
Speaker 1: What are your thoughts? I saw you had a moment

1861
01:25:07,040 --> 01:25:10,120
Speaker 1: with the little dude. Don't even say that little do

1862
01:25:10,560 --> 01:25:17,960
Speaker 1: the trans bruh, But what are your thoughts there? Is

1863
01:25:18,120 --> 01:25:20,759
Speaker 1: like I saw what you had said to the trans

1864
01:25:20,840 --> 01:25:25,400
Speaker 1: bra and uh, there you kind of sol over the

1865
01:25:25,520 --> 01:25:29,719
Speaker 1: last like eight years a certain level of like African

1866
01:25:29,800 --> 01:25:33,679
Speaker 1: American maga people who realized it was good for their pockets,

1867
01:25:34,000 --> 01:25:36,600
Speaker 1: so they just continue to dig into the grift. And

1868
01:25:36,720 --> 01:25:39,360
Speaker 1: I've never seen somebody in such an eloquent way kind

1869
01:25:39,400 --> 01:25:42,360
Speaker 1: of like just melt somebody with kindness.

1870
01:25:43,000 --> 01:25:46,679
Speaker 2: Yeah, well, you know, I went to the the hike

1871
01:25:46,760 --> 01:25:48,400
Speaker 2: and I got a symbol right in this Sunday.

1872
01:25:48,560 --> 01:25:53,080
Speaker 1: Yeah, and the little guy I guess was a fan

1873
01:25:53,320 --> 01:25:54,600
Speaker 1: or however you want to put it.

1874
01:25:55,280 --> 01:26:00,320
Speaker 3: And I'm I'm interrogating to see how he thinks, because

1875
01:26:00,320 --> 01:26:01,280
Speaker 3: he asking me questions.

1876
01:26:01,320 --> 01:26:01,960
Speaker 2: And then as I.

1877
01:26:02,000 --> 01:26:04,400
Speaker 3: Listened to him, he's telling me that the people he

1878
01:26:04,520 --> 01:26:08,960
Speaker 3: look up to, his mount Rushmore of aspiration, is Izi

1879
01:26:09,080 --> 01:26:13,080
Speaker 3: Osborne and Donald Trump. So I say, is there not

1880
01:26:13,160 --> 01:26:14,880
Speaker 3: a black man in your mind that you look up

1881
01:26:14,880 --> 01:26:15,640
Speaker 3: to and inspire to be?

1882
01:26:15,840 --> 01:26:15,880
Speaker 1: Like?

1883
01:26:16,280 --> 01:26:19,720
Speaker 3: He said, no, just myself. That's the problem, right, Like

1884
01:26:20,120 --> 01:26:23,840
Speaker 3: you don't even have not a single person that looks

1885
01:26:23,960 --> 01:26:28,160
Speaker 3: like you that you look up to. So that's when

1886
01:26:28,280 --> 01:26:29,920
Speaker 3: I was kind of done with the conversation in the

1887
01:26:29,960 --> 01:26:32,040
Speaker 3: first place. And then he pulls out the phone and

1888
01:26:32,120 --> 01:26:34,160
Speaker 3: I'm like, after everything that you just told about me,

1889
01:26:34,479 --> 01:26:36,920
Speaker 3: are you outside for these people? We're not about to

1890
01:26:37,000 --> 01:26:39,400
Speaker 3: have this moment on the internet like we cool, you

1891
01:26:39,520 --> 01:26:41,479
Speaker 3: understand me? And that's when I start calling him out.

1892
01:26:42,040 --> 01:26:44,320
Speaker 3: For me, that's a simple moment in time, right, That's

1893
01:26:44,360 --> 01:26:46,320
Speaker 3: how I deal with anybody that's like that. Like I

1894
01:26:46,400 --> 01:26:49,320
Speaker 3: grew up in such the opposite environment, right, a black

1895
01:26:49,400 --> 01:26:52,639
Speaker 3: Muslim environment nation in Islam. Oaken California as a soldier

1896
01:26:52,720 --> 01:26:54,439
Speaker 3: that was taught that I'm a god and that we

1897
01:26:54,479 --> 01:26:56,559
Speaker 3: got to deal with being in the devil's world until

1898
01:26:56,560 --> 01:26:57,880
Speaker 3: we can take over, right.

1899
01:26:58,000 --> 01:27:00,880
Speaker 2: And so in the deepness of my mind, that's me

1900
01:27:01,000 --> 01:27:01,640
Speaker 2: and who I am.

1901
01:27:02,000 --> 01:27:03,800
Speaker 3: And then I see a young man like that, who

1902
01:27:03,880 --> 01:27:08,479
Speaker 3: I think is caught up in this space to where

1903
01:27:08,479 --> 01:27:10,880
Speaker 3: he's lost his identity. He does not have a place,

1904
01:27:11,200 --> 01:27:13,439
Speaker 3: and in these groups, all it is I don't even

1905
01:27:13,479 --> 01:27:15,479
Speaker 3: look at MiG I just look at people trying to

1906
01:27:15,600 --> 01:27:19,800
Speaker 3: find belonging inside these identity groups, right, And so these

1907
01:27:19,840 --> 01:27:24,400
Speaker 3: are people that are most likely vulnerable, insecure, right, impoverished, right,

1908
01:27:24,520 --> 01:27:27,680
Speaker 3: stressed out. We have the loneliest generation of young men

1909
01:27:27,760 --> 01:27:30,559
Speaker 3: today committing the highest rate of suicide, and they're going

1910
01:27:30,640 --> 01:27:31,839
Speaker 3: through a sexual recession.

1911
01:27:32,360 --> 01:27:32,479
Speaker 1: Right.

1912
01:27:32,640 --> 01:27:35,680
Speaker 3: They're not having experiences where they're talking with women, they're

1913
01:27:35,720 --> 01:27:38,120
Speaker 3: not going to face to face events. They're stuck on

1914
01:27:38,160 --> 01:27:41,560
Speaker 3: the algorithm, and they're homosocial. And so the problem is

1915
01:27:42,600 --> 01:27:44,760
Speaker 3: if you're looking at it, I'm not looking at him

1916
01:27:44,800 --> 01:27:46,880
Speaker 3: for who he is. All I see is the way

1917
01:27:46,960 --> 01:27:50,599
Speaker 3: his mind works and why he's connected to that, right,

1918
01:27:50,760 --> 01:27:54,280
Speaker 3: And I can understand that, right, For when I understand

1919
01:27:54,400 --> 01:27:57,880
Speaker 3: something then I'm gonna treat you accordingly. You're a victim, right,

1920
01:27:58,040 --> 01:28:01,880
Speaker 3: and because attention is the drug that everybody wants, you

1921
01:28:01,920 --> 01:28:04,120
Speaker 3: would do anything for it. It's your crack.

1922
01:28:04,439 --> 01:28:07,080
Speaker 1: So whether it makes you look good or bad, you

1923
01:28:07,120 --> 01:28:09,080
Speaker 1: will still upload a video and it makes you look

1924
01:28:09,200 --> 01:28:11,640
Speaker 1: like an idiot. Yeah, like why why would you have

1925
01:28:11,760 --> 01:28:13,800
Speaker 1: that moment with you right, and be like all right,

1926
01:28:13,840 --> 01:28:16,679
Speaker 1: I'm gonna share this with everybody because attention is the drug.

1927
01:28:17,400 --> 01:28:19,639
Speaker 1: Niggas are streaming and making themselves look foolish.

1928
01:28:19,680 --> 01:28:22,160
Speaker 3: But here's the thing that even if somebody criticizes you,

1929
01:28:22,439 --> 01:28:24,519
Speaker 3: people will forget down there two days from now and

1930
01:28:24,600 --> 01:28:27,800
Speaker 3: you get a clean slate to start over. People are

1931
01:28:27,880 --> 01:28:30,000
Speaker 3: looking at who has the attention here. Theer can walk

1932
01:28:30,080 --> 01:28:32,800
Speaker 3: down the street if he's social media famous, people want

1933
01:28:32,840 --> 01:28:35,960
Speaker 3: to take selfies with him because he has attention, and

1934
01:28:36,080 --> 01:28:37,800
Speaker 3: they feel like, well, if you got attention, then I

1935
01:28:37,840 --> 01:28:39,880
Speaker 3: can get attention, and then I can convert that because

1936
01:28:39,920 --> 01:28:41,320
Speaker 3: everybody is poor and suffering.

1937
01:28:41,600 --> 01:28:45,720
Speaker 1: Yeah, we've seen like every six seven months there's like

1938
01:28:45,760 --> 01:28:47,960
Speaker 1: a new streamer and like obviously now it's a dean

1939
01:28:48,040 --> 01:28:51,040
Speaker 1: and abuh and I just want it. It's all I

1940
01:28:51,120 --> 01:28:53,040
Speaker 1: see on my fucking phone is Adrian Browner and Dean

1941
01:28:53,120 --> 01:28:55,880
Speaker 1: the greats. Yeah, And I didn't know Dean the Great

1942
01:28:56,040 --> 01:29:00,479
Speaker 1: was before he got fucking yeah hit by the broom. Yeah,

1943
01:29:01,400 --> 01:29:03,880
Speaker 1: and now he's like, you know, let's let's go back

1944
01:29:03,920 --> 01:29:04,120
Speaker 1: to this.

1945
01:29:04,320 --> 01:29:06,760
Speaker 2: When Leo lil Bee got slapped off the couch, he

1946
01:29:06,880 --> 01:29:07,680
Speaker 2: became base god.

1947
01:29:08,920 --> 01:29:11,439
Speaker 3: He built up a whole cult after that. Right, that

1948
01:29:11,600 --> 01:29:13,960
Speaker 3: was the early signal of the future.

1949
01:29:14,400 --> 01:29:15,720
Speaker 1: He was very ahead of his time.

1950
01:29:15,760 --> 01:29:19,240
Speaker 3: And and it's the same thing now. He converted that

1951
01:29:19,520 --> 01:29:22,439
Speaker 3: into something that became court like and positive. But you know,

1952
01:29:22,520 --> 01:29:24,080
Speaker 3: he got a lot of white fans. He ain't become

1953
01:29:24,479 --> 01:29:26,920
Speaker 3: like at that time. He ain't become like super famous

1954
01:29:26,960 --> 01:29:30,320
Speaker 3: in the black community that following, but he became a

1955
01:29:30,439 --> 01:29:33,160
Speaker 3: super cult following. Those are as a future. As I

1956
01:29:33,280 --> 01:29:35,720
Speaker 3: look at those signals, it's signals what the future is.

1957
01:29:35,720 --> 01:29:37,880
Speaker 2: Going to be. Now we at that point in time

1958
01:29:37,920 --> 01:29:39,000
Speaker 2: where anybody can get.

1959
01:29:38,880 --> 01:29:42,800
Speaker 3: Slapped and get famous. Guy slap, I still don't know

1960
01:29:42,840 --> 01:29:47,040
Speaker 3: who he is. That victory slap that was just for Nipsey.

1961
01:29:48,280 --> 01:29:50,360
Speaker 1: I do feel like the I R L streaming economy

1962
01:29:50,520 --> 01:29:56,040
Speaker 1: is it's like it's it's just becoming like everyone is

1963
01:29:56,479 --> 01:29:59,599
Speaker 1: is living there. They gave bait. They act gave for money.

1964
01:30:00,880 --> 01:30:02,479
Speaker 1: I don't know if they really are, but you know,

1965
01:30:02,960 --> 01:30:06,000
Speaker 1: I feel like they're just living life for like clippable moments. Yeah.

1966
01:30:06,080 --> 01:30:07,960
Speaker 1: So it's like if I'm walking down the street and

1967
01:30:08,040 --> 01:30:10,280
Speaker 1: I see it, dude, I might try to like fuck

1968
01:30:10,320 --> 01:30:12,960
Speaker 1: with this dude, Yeah, just to get a reaction. Yeah,

1969
01:30:12,960 --> 01:30:15,200
Speaker 1: I know someone's gonna clip it. Like you wouldn't if

1970
01:30:15,280 --> 01:30:16,600
Speaker 1: the cameras are running, you wouldn't do that.

1971
01:30:16,720 --> 01:30:19,479
Speaker 3: I was talking with Symbol yesterday. Then he say, what

1972
01:30:19,720 --> 01:30:22,840
Speaker 3: what what ray J said to go raping for a clip?

1973
01:30:23,320 --> 01:30:24,920
Speaker 1: Oh? Yeah, ray J's on a sick one right now,

1974
01:30:24,960 --> 01:30:25,559
Speaker 1: That's what I'm saying.

1975
01:30:25,560 --> 01:30:28,800
Speaker 3: It's like, sure, well, at this point where what you

1976
01:30:28,920 --> 01:30:31,639
Speaker 3: think is being a man has been totally thrown out

1977
01:30:32,800 --> 01:30:36,040
Speaker 3: and a person, we are in late States capitalism, where

1978
01:30:36,120 --> 01:30:37,519
Speaker 3: your manhood is.

1979
01:30:37,600 --> 01:30:40,840
Speaker 2: Completely up for sale. Now at a time when we

1980
01:30:40,920 --> 01:30:43,679
Speaker 2: would be like, that's selling your soul, they are happily

1981
01:30:43,760 --> 01:30:45,840
Speaker 2: saying I will sell my soul for some more.

1982
01:30:46,120 --> 01:30:48,680
Speaker 1: Popular more than ever because yeah, because because twelve year

1983
01:30:48,680 --> 01:30:49,800
Speaker 1: old white kids fuck with him now.

1984
01:30:49,960 --> 01:30:53,840
Speaker 3: Yeah, So this is this is like an idiocracy at

1985
01:30:53,840 --> 01:30:58,080
Speaker 3: this point, right, and this is all of these industries

1986
01:30:58,320 --> 01:31:00,599
Speaker 3: can be turned into something good, like we can use

1987
01:31:00,640 --> 01:31:02,960
Speaker 3: the streaming and you've probably yet to see somebody like

1988
01:31:03,120 --> 01:31:06,240
Speaker 3: me in the streaming ever. But companies are doing this

1989
01:31:06,439 --> 01:31:09,000
Speaker 3: now where they want to have educational streams. They want

1990
01:31:09,040 --> 01:31:10,960
Speaker 3: to figure out how do we convert this because it's

1991
01:31:11,000 --> 01:31:11,840
Speaker 3: not sustainable.

1992
01:31:11,960 --> 01:31:14,400
Speaker 1: It's I like Speed. I feel like Speed does like, oh,

1993
01:31:14,840 --> 01:31:17,800
Speaker 1: Speed got it very very like. I never see him

1994
01:31:18,200 --> 01:31:21,080
Speaker 1: stepping out and I didn't watch Speed, you know, seven

1995
01:31:21,080 --> 01:31:23,560
Speaker 1: eight years ago. Yeah, he was wilding back then, but

1996
01:31:24,840 --> 01:31:26,640
Speaker 1: but I think like he's pretty dialed in, like and

1997
01:31:26,720 --> 01:31:29,160
Speaker 1: it feels like he's moving like he just seems like

1998
01:31:29,240 --> 01:31:29,920
Speaker 1: a very yeah.

1999
01:31:30,240 --> 01:31:32,200
Speaker 3: Well see, dude, a lot of them are where Speed

2000
01:31:32,479 --> 01:31:35,720
Speaker 3: was at when he first started right franking people and

2001
01:31:35,800 --> 01:31:39,400
Speaker 3: knocking on doors and wilding out. Speed became refined. He

2002
01:31:39,479 --> 01:31:42,200
Speaker 3: started learning off his mistakes and he started growing right.

2003
01:31:42,720 --> 01:31:44,360
Speaker 3: And so I see this a lot of times when

2004
01:31:44,439 --> 01:31:46,519
Speaker 3: people are early on their journey. And this is why

2005
01:31:46,520 --> 01:31:48,679
Speaker 3: I kind of give people grace to evolve and mature

2006
01:31:48,840 --> 01:31:52,840
Speaker 3: and shallah. But not everybody does. But you have to

2007
01:31:52,880 --> 01:31:55,760
Speaker 3: give people grace because sometimes God can use them for

2008
01:31:55,880 --> 01:31:59,400
Speaker 3: something bigger. If people wanted to cancel Speed right early on,

2009
01:31:59,640 --> 01:32:01,679
Speaker 3: he would not being able to do the great things

2010
01:32:01,720 --> 01:32:02,439
Speaker 3: that he's doing.

2011
01:32:02,920 --> 01:32:05,200
Speaker 1: Right here is I feel like he's poured down so

2012
01:32:05,280 --> 01:32:05,960
Speaker 1: much propaganda.

2013
01:32:07,040 --> 01:32:09,479
Speaker 3: I've been going to Africa since twenty nineteen, i'dn't been

2014
01:32:09,520 --> 01:32:13,160
Speaker 3: through all the different countries. And no matter how much

2015
01:32:13,240 --> 01:32:15,719
Speaker 3: I went to Africa, I had podcasts in South Africa.

2016
01:32:15,880 --> 01:32:20,000
Speaker 3: The tallest building in Africa in twenty nineteen built bridging

2017
01:32:20,080 --> 01:32:23,280
Speaker 3: the gap. But it peels in comparison to what I've

2018
01:32:23,320 --> 01:32:27,479
Speaker 3: done in the last like eight nine years. To see

2019
01:32:27,520 --> 01:32:31,280
Speaker 3: in Speed take that in one trip all across the continent.

2020
01:32:31,920 --> 01:32:35,360
Speaker 3: But what he does is Speed is somebody that is

2021
01:32:35,640 --> 01:32:36,880
Speaker 3: he's like an anime character.

2022
01:32:37,040 --> 01:32:37,680
Speaker 2: You understand me.

2023
01:32:37,760 --> 01:32:40,040
Speaker 3: He's showing the adventure of a young man, and he's

2024
01:32:40,080 --> 01:32:44,200
Speaker 3: treating everybody, whether they are an emperor, to a politician,

2025
01:32:44,320 --> 01:32:47,360
Speaker 3: or whether it's a somebody in the marketplace. He's treating

2026
01:32:47,439 --> 01:32:50,720
Speaker 3: everybody with respect and love and energy. Right, and then

2027
01:32:50,800 --> 01:32:54,599
Speaker 3: he's showing these spaces that traditional media is not showing.

2028
01:32:54,640 --> 01:32:57,680
Speaker 3: He's a representation of independent media right in a new

2029
01:32:57,800 --> 01:33:00,000
Speaker 3: form of it. But that's harder to replicate, so people

2030
01:33:00,160 --> 01:33:03,320
Speaker 3: look at that as an outlier, right, and Speed also

2031
01:33:03,439 --> 01:33:07,160
Speaker 3: has a level of consciousness. He's very anti Zionist, you

2032
01:33:07,200 --> 01:33:09,360
Speaker 3: know what I mean, telling somebody ask him little bout Israel,

2033
01:33:09,760 --> 01:33:13,120
Speaker 3: you feel me, and he like that question just did

2034
01:33:13,240 --> 01:33:20,920
Speaker 3: not exist. He exit that conversation fast, shout out, yeah,

2035
01:33:20,960 --> 01:33:21,560
Speaker 3: he's catching me.

2036
01:33:21,640 --> 01:33:22,479
Speaker 1: But he's intelligent.

2037
01:33:22,520 --> 01:33:24,560
Speaker 3: You can see a man thinking in the moment and

2038
01:33:24,600 --> 01:33:26,840
Speaker 3: shout out to Shaka Bars that's been working with him

2039
01:33:26,880 --> 01:33:27,760
Speaker 3: setting up that tour.

2040
01:33:28,479 --> 01:33:30,439
Speaker 1: It's about the people you have around you. Yeah. I

2041
01:33:30,439 --> 01:33:33,160
Speaker 1: think Speed did such a good job on his world

2042
01:33:33,320 --> 01:33:35,600
Speaker 1: tour stream thing of just like even when he was

2043
01:33:35,640 --> 01:33:38,280
Speaker 1: in China, for better for worse, because he also kind

2044
01:33:38,320 --> 01:33:39,200
Speaker 1: of showed everybody.

2045
01:33:38,920 --> 01:33:41,479
Speaker 2: Like, yeah, motherfuckers and China a little racist, oh a

2046
01:33:41,520 --> 01:33:43,720
Speaker 2: lot of racist Chinese a lot of and shout out

2047
01:33:43,720 --> 01:33:46,600
Speaker 2: to Chinese people need how but what happens is is

2048
01:33:46,800 --> 01:33:48,760
Speaker 2: like a lot of Chinese people take the narratives that

2049
01:33:48,800 --> 01:33:51,360
Speaker 2: they get in media and they believe them wholesale.

2050
01:33:51,040 --> 01:33:53,000
Speaker 1: For sure, and they also don't have black people there

2051
01:33:53,040 --> 01:33:55,240
Speaker 1: like yeah, yeah. But but on the other side, he

2052
01:33:55,320 --> 01:33:58,880
Speaker 1: also showed like China is kind of the ship compared

2053
01:33:58,880 --> 01:34:03,200
Speaker 1: to the US. Technically, technically they are yeah, ahead of

2054
01:34:03,280 --> 01:34:05,559
Speaker 1: us in terms of infrastructure and how they sure that.

2055
01:34:05,640 --> 01:34:07,920
Speaker 3: The money you know, well, all we get is Western

2056
01:34:08,000 --> 01:34:11,719
Speaker 3: media on China, and all they get is Western media

2057
01:34:11,840 --> 01:34:15,720
Speaker 3: on us. Right, So average Chinese person ain't gonna know

2058
01:34:15,720 --> 01:34:18,080
Speaker 3: who to hell Malcolm X is, you know what I mean.

2059
01:34:18,160 --> 01:34:20,120
Speaker 3: They ain't gonna know none of our black leaders, but

2060
01:34:20,280 --> 01:34:23,680
Speaker 3: they will know all black rappers, right, are entertainers.

2061
01:34:24,120 --> 01:34:26,519
Speaker 1: So therefore that's the image and picture that they have

2062
01:34:26,680 --> 01:34:28,040
Speaker 1: of you. It's a character of.

2063
01:34:28,320 --> 01:34:31,559
Speaker 2: The lowest common denominator, right, not the highest self.

2064
01:34:31,600 --> 01:34:37,360
Speaker 1: It's almost racism from like a space of naiveness.

2065
01:34:37,840 --> 01:34:39,519
Speaker 3: I used to work with a lot of Chinese people,

2066
01:34:40,040 --> 01:34:44,240
Speaker 3: and they seemingly really cool ass people, right, like we

2067
01:34:44,479 --> 01:34:46,599
Speaker 3: friends with good people. Then when you talk to them

2068
01:34:46,640 --> 01:34:49,200
Speaker 3: and you understand they beliefs, and they're gonna ask you

2069
01:34:49,320 --> 01:34:51,640
Speaker 3: some crazy, wild shit like do all black people eat

2070
01:34:51,640 --> 01:34:52,200
Speaker 3: fried chicken?

2071
01:34:52,960 --> 01:34:54,120
Speaker 2: Y'all be eating the watermelons?

2072
01:34:54,200 --> 01:34:59,840
Speaker 3: Hunt and to them straight up to them, it's not race,

2073
01:35:00,080 --> 01:35:05,240
Speaker 3: it's not it's what they really think is true. And

2074
01:35:05,360 --> 01:35:09,000
Speaker 3: so you really understand, like, ah, like you take holds

2075
01:35:09,080 --> 01:35:12,040
Speaker 3: there's no critical thinking on the analysis of the stereotypes

2076
01:35:12,120 --> 01:35:12,799
Speaker 3: that you receive.

2077
01:35:13,520 --> 01:35:16,200
Speaker 1: You take Western media as truth. It's almost like a

2078
01:35:16,320 --> 01:35:20,040
Speaker 1: certain level of like Americans in the seventies or eighties,

2079
01:35:20,080 --> 01:35:22,639
Speaker 1: might ask somebody from Japan if they know karate. Yeah,

2080
01:35:23,280 --> 01:35:25,080
Speaker 1: you know what I mean? You know karate? Yeah, like

2081
01:35:25,320 --> 01:35:26,880
Speaker 1: you know what I mean? I thought you was jedly

2082
01:35:27,320 --> 01:35:30,679
Speaker 1: right or what It's interesting?

2083
01:35:33,080 --> 01:35:33,240
Speaker 2: Yeah?

2084
01:35:33,280 --> 01:35:36,120
Speaker 3: Yeah, yeah, But you know, I think that that's where

2085
01:35:36,680 --> 01:35:40,120
Speaker 3: independent media has to become stronger, if we can't control

2086
01:35:40,200 --> 01:35:44,600
Speaker 3: the narratives that are presented to the world about.

2087
01:35:44,360 --> 01:35:45,360
Speaker 1: Who we are, right.

2088
01:35:46,000 --> 01:35:47,920
Speaker 3: And the other thing is that we're all living in

2089
01:35:48,000 --> 01:35:52,240
Speaker 3: our own bubbles. I think I heard who is that

2090
01:35:52,360 --> 01:35:55,439
Speaker 3: giving this breakdown on? Like now that you have hits

2091
01:35:55,479 --> 01:35:58,640
Speaker 3: out there, right, there's no universal hits like when we

2092
01:35:58,800 --> 01:36:02,920
Speaker 3: was younger. You are Jenny in the Bottle from Britney Spears, right,

2093
01:36:03,080 --> 01:36:06,640
Speaker 3: no matter what. Yeah, Now I never hear Teryler Swift song.

2094
01:36:06,720 --> 01:36:07,960
Speaker 3: I wouldn't know a single.

2095
01:36:07,760 --> 01:36:11,080
Speaker 1: One sad, right, So we're like a Morgan Wallen song.

2096
01:36:11,320 --> 01:36:12,320
Speaker 2: I don't even know who that is.

2097
01:36:13,000 --> 01:36:15,920
Speaker 1: You know, Morgan Walling I don't know. He just stadiums.

2098
01:36:16,320 --> 01:36:19,600
Speaker 1: That's fine. He's got records with Dirk Amazing.

2099
01:36:20,720 --> 01:36:23,599
Speaker 2: Maybe if I heard it, but it's a country artist,

2100
01:36:24,160 --> 01:36:27,519
Speaker 2: that's why. Yeah, you know, but to that point, you.

2101
01:36:27,560 --> 01:36:31,160
Speaker 3: Could be as big as you possibly can, but we're

2102
01:36:31,200 --> 01:36:33,360
Speaker 3: all living in our own little worlds and bubbles like

2103
01:36:33,960 --> 01:36:36,000
Speaker 3: algorithm is controlling the.

2104
01:36:36,080 --> 01:36:40,400
Speaker 1: Most unique example for me because I have no fucking

2105
01:36:40,479 --> 01:36:43,280
Speaker 1: idea yeah about bts or any of those.

2106
01:36:43,520 --> 01:36:45,759
Speaker 2: Yeah, I think that's behind the scenes.

2107
01:36:45,800 --> 01:36:48,040
Speaker 1: It is a thing that you're just like, oh, there's

2108
01:36:48,120 --> 01:36:52,519
Speaker 1: just there's just a whole other yeah world that you know,

2109
01:36:52,640 --> 01:36:55,840
Speaker 1: and I'm not about to so you know, I get it.

2110
01:36:56,160 --> 01:36:58,880
Speaker 3: We're all in our own worlds and we're not We

2111
01:36:58,960 --> 01:37:01,200
Speaker 3: don't even have enough person aspective of each other to

2112
01:37:01,320 --> 01:37:04,479
Speaker 3: create a half empathy. I watched that movie Disclosure, and

2113
01:37:04,600 --> 01:37:06,439
Speaker 3: I think one of the greatest lines in it was

2114
01:37:06,520 --> 01:37:11,240
Speaker 3: talking about how the aliens, you know, it's Spielberg movie,

2115
01:37:11,439 --> 01:37:18,600
Speaker 3: but it was talking about empathy being and biological evolutionary

2116
01:37:18,640 --> 01:37:23,960
Speaker 3: biological advantage, right that human beings have, right, But most

2117
01:37:24,040 --> 01:37:27,320
Speaker 3: of us don't have empathy anymore, right, Like we don't

2118
01:37:27,320 --> 01:37:30,200
Speaker 3: really drop in and really speak to the person that's

2119
01:37:30,240 --> 01:37:32,720
Speaker 3: in front of us. We're all talking at each other,

2120
01:37:32,880 --> 01:37:33,320
Speaker 3: we're all.

2121
01:37:33,280 --> 01:37:36,200
Speaker 1: Trying to make points. We're not conversing anymore.

2122
01:37:36,240 --> 01:37:39,160
Speaker 2: We're not having dialogues, we're having battles, we're having debates,

2123
01:37:39,840 --> 01:37:41,280
Speaker 2: We're reacting to everything.

2124
01:37:41,439 --> 01:37:43,960
Speaker 3: We're not really thinking about this human being and their

2125
01:37:44,120 --> 01:37:47,320
Speaker 3: life and who they are, right, and we feel that

2126
01:37:47,479 --> 01:37:50,720
Speaker 3: lack of empathy everywhere we go, right, and without having

2127
01:37:50,800 --> 01:37:54,120
Speaker 3: that empathy to where somebody can see you for you, right,

2128
01:37:54,200 --> 01:37:56,720
Speaker 3: you always alone, no matter how many people are in

2129
01:37:56,800 --> 01:37:59,080
Speaker 3: the room. And I believe that's what's happening with this

2130
01:37:59,200 --> 01:38:02,439
Speaker 3: current generation. They're being sing but they ain't really being

2131
01:38:02,520 --> 01:38:05,720
Speaker 3: seen right, and so people might like them, but they

2132
01:38:05,760 --> 01:38:08,680
Speaker 3: don't love them. You might get likes and comments, but

2133
01:38:08,960 --> 01:38:10,920
Speaker 3: you ain't gonna getting on real love in real life.

2134
01:38:11,360 --> 01:38:13,400
Speaker 3: And so there's a lack of intimacy, there's a lack

2135
01:38:13,439 --> 01:38:16,800
Speaker 3: of empathy, and when of those human things disappear, that's

2136
01:38:16,840 --> 01:38:18,759
Speaker 3: where you start to get people that's depressed.

2137
01:38:19,920 --> 01:38:22,439
Speaker 1: I want to know your thoughts on a couple of albums.

2138
01:38:22,720 --> 01:38:24,320
Speaker 2: Uh huh, Oh, I'm dropping an album.

2139
01:38:25,120 --> 01:38:26,160
Speaker 1: You are dropping an album.

2140
01:38:26,520 --> 01:38:27,960
Speaker 2: I don't know when this release, but it will be

2141
01:38:28,000 --> 01:38:31,479
Speaker 2: out by time this release. It'll be out by the

2142
01:38:31,560 --> 01:38:35,240
Speaker 2: time tomorrow. Drop tomorrow. Yeah.

2143
01:38:35,880 --> 01:38:38,479
Speaker 3: I had already finished it about a year ago, and

2144
01:38:38,600 --> 01:38:39,320
Speaker 3: I had sold you.

2145
01:38:39,680 --> 01:38:43,400
Speaker 1: Sent me some like an untitled link. Yeah, yeah, that

2146
01:38:43,560 --> 01:38:46,160
Speaker 1: was the album at the time, and you never never

2147
01:38:46,280 --> 01:38:51,640
Speaker 1: listened to it. So what is uh so tell me

2148
01:38:51,880 --> 01:38:54,519
Speaker 1: I listen to some of it. I think I listened

2149
01:38:54,520 --> 01:38:57,320
Speaker 1: to the first song you said, okay first, But what

2150
01:38:57,600 --> 01:39:00,360
Speaker 1: is when you say you sold it? You sold it

2151
01:39:00,400 --> 01:39:02,360
Speaker 1: to like? So, yeah, I put it on the private market.

2152
01:39:02,479 --> 01:39:07,439
Speaker 3: So we had a company that we work with called Unreleased, right,

2153
01:39:08,120 --> 01:39:10,880
Speaker 3: So we did nice little five fit.

2154
01:39:10,880 --> 01:39:13,439
Speaker 1: Figures and sales. You understand how that's fine?

2155
01:39:13,560 --> 01:39:14,639
Speaker 2: Yeah, we did really good.

2156
01:39:14,800 --> 01:39:18,160
Speaker 3: So and that's and I wasn't even like pushing it.

2157
01:39:18,240 --> 01:39:20,040
Speaker 3: That's what I was, just just me pushing it behind

2158
01:39:20,080 --> 01:39:23,280
Speaker 3: the scenes, and we were selling it in person as

2159
01:39:23,360 --> 01:39:25,840
Speaker 3: well throughout the tour. So people buying the album for

2160
01:39:25,880 --> 01:39:28,200
Speaker 3: one hundred dollars all throughout the tour. Wow, I mean

2161
01:39:28,560 --> 01:39:31,560
Speaker 3: they get the small little plastic album, they tap it,

2162
01:39:31,760 --> 01:39:33,479
Speaker 3: it's on their phone and it's only theirs.

2163
01:39:34,280 --> 01:39:36,200
Speaker 1: Some people we use the whole Nipsey model.

2164
01:39:36,240 --> 01:39:38,080
Speaker 3: Pay what you want, what you want, I mean people

2165
01:39:38,200 --> 01:39:41,479
Speaker 3: paying two, three, four, five hundred dollars for the album, right.

2166
01:39:41,600 --> 01:39:43,800
Speaker 3: So I wanted to do that first just for the

2167
01:39:43,920 --> 01:39:46,160
Speaker 3: core base. And now I'm putting it on streaming platforms

2168
01:39:46,200 --> 01:39:50,280
Speaker 3: just so that. Yes, yeah, but I think that everybody

2169
01:39:50,320 --> 01:39:53,160
Speaker 3: should do that. I think go to your owned audience.

2170
01:39:52,800 --> 01:39:55,599
Speaker 1: First, Yeah, I think there's a guy named Rock Marciano

2171
01:39:55,600 --> 01:39:57,400
Speaker 1: who does a good job of that, who will drop

2172
01:39:58,520 --> 01:40:01,479
Speaker 1: in like six months later, it'll be on DSPs. Yeah,

2173
01:40:01,800 --> 01:40:03,280
Speaker 1: you know, I think that's a smart thing to do.

2174
01:40:03,360 --> 01:40:04,080
Speaker 1: It's the best thing.

2175
01:40:04,439 --> 01:40:07,479
Speaker 3: Owned audience is the audience you if the algorithm cuts off,

2176
01:40:07,560 --> 01:40:08,840
Speaker 3: who do you have access to?

2177
01:40:10,000 --> 01:40:13,160
Speaker 1: Thoughts on a month later, Iceman, I saw your tweets

2178
01:40:13,200 --> 01:40:15,120
Speaker 1: when it dropped you kind of like your real time

2179
01:40:15,160 --> 01:40:17,880
Speaker 1: tweets while listening. Yeah, yeah, yeah, yeah. I did a

2180
01:40:17,960 --> 01:40:20,479
Speaker 1: full like breakdown of Iceman. Oh.

2181
01:40:20,600 --> 01:40:22,320
Speaker 2: You know, I always got to go high level with stuff.

2182
01:40:22,479 --> 01:40:23,000
Speaker 1: It's funny.

2183
01:40:23,160 --> 01:40:25,479
Speaker 3: I'd be really just enjoying stuff for the listen, but

2184
01:40:25,600 --> 01:40:27,479
Speaker 3: then by the time I talk about it on social

2185
01:40:27,560 --> 01:40:29,759
Speaker 3: it's always this high level critique and stuff.

2186
01:40:34,840 --> 01:40:36,559
Speaker 2: It's funny because now I feel.

2187
01:40:36,400 --> 01:40:38,479
Speaker 3: Like it kind of it died down fast. I mean,

2188
01:40:38,520 --> 01:40:41,599
Speaker 3: but that's the nature of social media. I first looked

2189
01:40:41,600 --> 01:40:47,519
Speaker 3: at Iceman as him embracing you know, his white Ashka

2190
01:40:47,560 --> 01:40:51,639
Speaker 3: Nazi Caucasian villain side, right there.

2191
01:40:51,640 --> 01:40:57,880
Speaker 1: Was this listen, dad, listen.

2192
01:40:57,960 --> 01:41:02,439
Speaker 3: Then I'm saying it's just from a truthful place my

2193
01:41:02,600 --> 01:41:06,360
Speaker 3: perspective on it, and I did a much larger breakdown

2194
01:41:06,479 --> 01:41:07,920
Speaker 3: but what is an iceman.

2195
01:41:07,960 --> 01:41:10,080
Speaker 2: An iceman is somebody who has went.

2196
01:41:10,040 --> 01:41:12,920
Speaker 3: Cold, you know, I mean they emotionally frozen. I ain't

2197
01:41:12,960 --> 01:41:14,720
Speaker 3: got no more love for you you. I mean they

2198
01:41:14,800 --> 01:41:17,439
Speaker 3: in survival mode. They want revenge, you know. I mean

2199
01:41:17,479 --> 01:41:20,639
Speaker 3: they're closing borders and closing ranks. And hip hop has

2200
01:41:20,840 --> 01:41:24,439
Speaker 3: historically always rewarded that iceman mentality. Fifty Cent came in

2201
01:41:24,520 --> 01:41:26,920
Speaker 3: the game after he got shot. He went, Iceman, you

2202
01:41:27,040 --> 01:41:29,160
Speaker 3: understand me, ain't no more warmth than my voice.

2203
01:41:29,320 --> 01:41:30,080
Speaker 2: It's all cold.

2204
01:41:30,240 --> 01:41:30,760
Speaker 1: Yeah, right.

2205
01:41:30,920 --> 01:41:34,040
Speaker 3: I feel like Drake was really vying for the culture

2206
01:41:34,520 --> 01:41:37,600
Speaker 3: for a very long time, and then Kendrick came in

2207
01:41:37,720 --> 01:41:39,960
Speaker 3: and gave him a very cold winter, and then he

2208
01:41:40,080 --> 01:41:42,760
Speaker 3: embraced everything that was said about him and he put

2209
01:41:42,800 --> 01:41:45,560
Speaker 3: that into album for him. Right, Okay, I'm not with

2210
01:41:45,680 --> 01:41:47,479
Speaker 3: the culture, I'm not this that, and the third I'm

2211
01:41:47,560 --> 01:41:48,840
Speaker 3: just for the money, all right, Well, I'm gonna be

2212
01:41:48,880 --> 01:41:51,240
Speaker 3: the biggest in the money game, then you understand me.

2213
01:41:51,400 --> 01:41:53,320
Speaker 3: And when I listened to it, I seen the man

2214
01:41:53,400 --> 01:41:56,880
Speaker 3: that he also understands the game to where he gonna

2215
01:41:56,880 --> 01:41:58,519
Speaker 3: put all of these names in so he can see

2216
01:41:58,560 --> 01:42:01,320
Speaker 3: it all across the algorithm. But it also represents a

2217
01:42:01,360 --> 01:42:03,840
Speaker 3: man who ain't letting nothing go. Understand me, like, I

2218
01:42:03,920 --> 01:42:05,400
Speaker 3: want my revenge at all costs.

2219
01:42:05,560 --> 01:42:06,759
Speaker 2: It's going to be a cold summer.

2220
01:42:07,120 --> 01:42:08,920
Speaker 3: So the way I looked at it was there's this

2221
01:42:09,040 --> 01:42:11,400
Speaker 3: book by this Canadian scholar that came out of nineteen

2222
01:42:11,479 --> 01:42:14,479
Speaker 3: seventy eight, and it's called The Iceman Inheritance, and it

2223
01:42:14,560 --> 01:42:18,960
Speaker 3: talks about this exact mentality that white people have when

2224
01:42:19,320 --> 01:42:22,200
Speaker 3: from growing up in cold climates genetically that gives them

2225
01:42:22,240 --> 01:42:24,680
Speaker 3: this disposition that everybody doesn't agree with the scholar and

2226
01:42:24,720 --> 01:42:26,679
Speaker 3: whether it's true or not, But I think that there's

2227
01:42:26,800 --> 01:42:28,720
Speaker 3: a lot of logic that comes into it, where it's

2228
01:42:28,760 --> 01:42:31,960
Speaker 3: called cold cognition, right, it's very cold thinking. Where culture

2229
01:42:32,000 --> 01:42:33,840
Speaker 3: is supposed to be warm, it's supposed to be summer,

2230
01:42:34,240 --> 01:42:39,080
Speaker 3: supposed to be community, love, rhythm, spirituality, right, vibration. Iceman

2231
01:42:39,200 --> 01:42:41,719
Speaker 3: is the complete opposite of all of that. He said, Listen,

2232
01:42:41,800 --> 01:42:43,360
Speaker 3: I ain't trying to say that I'm the man of

2233
01:42:43,439 --> 01:42:45,559
Speaker 3: the culture. I'm out here kissing white bitches in the mouth.

2234
01:42:45,680 --> 01:42:48,720
Speaker 3: That's what he said. Understand me, Like, when I listen

2235
01:42:48,800 --> 01:42:50,680
Speaker 3: to the lyrics, I listened to a man who is

2236
01:42:50,720 --> 01:42:53,519
Speaker 3: in survival mode that went through probably the worst thing

2237
01:42:53,600 --> 01:42:56,200
Speaker 3: that a human being can go through, which is a

2238
01:42:56,520 --> 01:43:00,400
Speaker 3: humiliation ritual in front of the entire world two years.

2239
01:43:00,640 --> 01:43:03,080
Speaker 2: I don't know what that's like that. I'm gonna be honest.

2240
01:43:03,160 --> 01:43:05,160
Speaker 3: I give him his credit for being strong to be

2241
01:43:05,200 --> 01:43:07,439
Speaker 3: able to go through that, because some people would have

2242
01:43:07,439 --> 01:43:09,120
Speaker 3: committed suicide for something like that.

2243
01:43:09,800 --> 01:43:11,040
Speaker 2: Right when we talk about.

2244
01:43:10,880 --> 01:43:13,120
Speaker 3: Things that people go through that destroy them, like, that's

2245
01:43:13,240 --> 01:43:15,360
Speaker 3: a hundred million times worse than what meat went through

2246
01:43:15,400 --> 01:43:18,880
Speaker 3: when they was having their battle. So I can understand.

2247
01:43:18,960 --> 01:43:20,760
Speaker 3: And that's why I'm not looking at it from even

2248
01:43:20,840 --> 01:43:22,760
Speaker 3: like a hateful lens. I look at it from an

2249
01:43:22,920 --> 01:43:27,040
Speaker 3: understanding like this is probably the mindset and the mentality

2250
01:43:27,120 --> 01:43:30,280
Speaker 3: that anybody that went through that would have. But he

2251
01:43:30,439 --> 01:43:33,400
Speaker 3: found a very strategic way to convert that into music

2252
01:43:33,880 --> 01:43:36,000
Speaker 3: and to convert that into a favorable.

2253
01:43:35,600 --> 01:43:38,840
Speaker 1: Outcome and get back outside. Yeah. My thing with it was,

2254
01:43:38,920 --> 01:43:43,720
Speaker 1: once I got I guess kind of through my own

2255
01:43:43,880 --> 01:43:46,639
Speaker 1: interpretation of essentially what you just said, it was like, okay,

2256
01:43:47,439 --> 01:43:50,120
Speaker 1: Once I said, okay, I don't know what it's like

2257
01:43:50,200 --> 01:43:52,920
Speaker 1: to be in someone's shoes who just went through with

2258
01:43:53,360 --> 01:43:57,400
Speaker 1: this Kendrick thing. You know, super Bowl, Yeah, fucking stadium,

2259
01:43:57,479 --> 01:44:01,080
Speaker 1: tour going to Toronto. Yeah, so it was like, okay once,

2260
01:44:01,120 --> 01:44:04,560
Speaker 1: I because because my first listen was like, it's just

2261
01:44:04,680 --> 01:44:10,080
Speaker 1: eighteen songs of like bitching. You know, it's like we

2262
01:44:10,280 --> 01:44:12,960
Speaker 1: I saw and I don't want to I don't want

2263
01:44:13,000 --> 01:44:14,840
Speaker 1: to take credit for the for the tweet, but I

2264
01:44:14,920 --> 01:44:18,639
Speaker 1: saw a tweet where somebody said, like, Drake Drake's whole career,

2265
01:44:18,680 --> 01:44:20,200
Speaker 1: he was rapping about women who broke his heart and

2266
01:44:20,240 --> 01:44:21,559
Speaker 1: this was the only album he wrapped about a man

2267
01:44:21,640 --> 01:44:24,840
Speaker 1: and broke his heart. Yes, really and uh and my

2268
01:44:24,960 --> 01:44:29,040
Speaker 1: first listen met multiples. Yeah, I was like I just

2269
01:44:29,040 --> 01:44:31,760
Speaker 1: couldn't get through that part. But then once I kind

2270
01:44:31,800 --> 01:44:34,479
Speaker 1: of came to peace with like, Okay, this is the

2271
01:44:34,560 --> 01:44:38,040
Speaker 1: theme of the album. Let me just appreciate the rapping

2272
01:44:38,760 --> 01:44:41,800
Speaker 1: the songs. You know, it's it's It's in the top

2273
01:44:41,840 --> 01:44:44,320
Speaker 1: half of his discography, and I thought, lyrically he was

2274
01:44:44,360 --> 01:44:47,480
Speaker 1: the most potent. Yeah, I agree. I think he penharder

2275
01:44:47,520 --> 01:44:49,400
Speaker 1: on this album than he did on any other album

2276
01:44:49,560 --> 01:44:50,479
Speaker 1: because he kind of had to.

2277
01:44:51,240 --> 01:44:54,120
Speaker 3: He's the way and Steve noticed the way I judge albums.

2278
01:44:54,320 --> 01:44:55,639
Speaker 3: I thought, I'm done being biased.

2279
01:44:56,160 --> 01:44:57,000
Speaker 1: I do the same thing.

2280
01:44:57,160 --> 01:44:59,120
Speaker 3: I look at it as what did you intend to

2281
01:44:59,200 --> 01:44:59,920
Speaker 3: do and did you do that?

2282
01:45:00,720 --> 01:45:03,160
Speaker 1: Right? Because there's what you want from an album.

2283
01:45:03,240 --> 01:45:05,479
Speaker 3: But then as an artist, you have to look at

2284
01:45:05,520 --> 01:45:07,840
Speaker 3: whether they intended to do that, and I have to

2285
01:45:07,920 --> 01:45:11,240
Speaker 3: judge the talent on whether they actually delivered. And I

2286
01:45:11,320 --> 01:45:13,559
Speaker 3: think conceptually I didn't listen to the other two albums,

2287
01:45:13,600 --> 01:45:14,800
Speaker 3: so I can't say nothing about them.

2288
01:45:15,040 --> 01:45:17,920
Speaker 2: I like a BFT, but the Native Honors Speaking do.

2289
01:45:18,080 --> 01:45:22,880
Speaker 2: I haven't listened to it, but as the listen to Iceman. Conceptually,

2290
01:45:23,120 --> 01:45:25,559
Speaker 2: I think that he delivered on the concept perfectly.

2291
01:45:26,360 --> 01:45:30,040
Speaker 1: What about an album that I think is aged with

2292
01:45:30,280 --> 01:45:33,280
Speaker 1: every listen? What do you think about the fall off? J? Cole?

2293
01:45:36,520 --> 01:45:37,840
Speaker 2: The Cole is not you know what?

2294
01:45:39,240 --> 01:45:40,519
Speaker 1: Damn? Such a great album.

2295
01:45:43,000 --> 01:45:45,639
Speaker 3: I think the album is good just for the album

2296
01:45:45,720 --> 01:45:49,040
Speaker 3: to exist, right. It's not the again, it's not the

2297
01:45:49,120 --> 01:45:52,120
Speaker 3: album I want it, right, But it's hard to say that.

2298
01:45:52,160 --> 01:45:54,960
Speaker 3: I'm just super biased. I don't even know what I wanted.

2299
01:45:55,120 --> 01:45:57,400
Speaker 3: But it wasn't my favorite album. But if I go

2300
01:45:57,560 --> 01:45:59,839
Speaker 3: back and listen, I'm sure I would love it. Sometimes

2301
01:45:59,880 --> 01:46:02,040
Speaker 3: you got to go back and listen outside the space

2302
01:46:02,120 --> 01:46:04,360
Speaker 3: and when it's dropped and just listen to it for

2303
01:46:04,439 --> 01:46:08,560
Speaker 3: the music itself, right, j Cole will always prove that

2304
01:46:08,640 --> 01:46:11,639
Speaker 3: he is a phenomenal lyricist. He can make great songs,

2305
01:46:11,680 --> 01:46:14,519
Speaker 3: he can put together concepts. I think what it is

2306
01:46:14,600 --> 01:46:17,439
Speaker 3: with Jay Cole is that sometimes I give him credit

2307
01:46:17,600 --> 01:46:20,360
Speaker 3: for more depth than he has right, and so I

2308
01:46:20,520 --> 01:46:22,960
Speaker 3: end up wanting more than. I think it's unfair to

2309
01:46:23,360 --> 01:46:27,120
Speaker 3: have an expectation of right, and so I think that

2310
01:46:27,280 --> 01:46:31,200
Speaker 3: that creates a disappointment just from an expectation lens so.

2311
01:46:31,479 --> 01:46:34,760
Speaker 3: But when I bring down that expectation and I just

2312
01:46:35,160 --> 01:46:37,920
Speaker 3: listen to it, then I can enjoy it. But it

2313
01:46:38,040 --> 01:46:41,320
Speaker 3: wasn't my favorite album. I think I like some of

2314
01:46:41,360 --> 01:46:44,120
Speaker 3: his previous albums better, but I also just haven't given

2315
01:46:44,160 --> 01:46:45,760
Speaker 3: it the time to go back and listen to it

2316
01:46:45,840 --> 01:46:46,679
Speaker 3: outside of that bias.

2317
01:46:46,720 --> 01:46:48,439
Speaker 1: Do you have a favorite album this year beside Drone?

2318
01:46:48,479 --> 01:46:52,120
Speaker 3: Of course, besides my own? Let me see what Clumb's close,

2319
01:46:52,360 --> 01:46:55,639
Speaker 3: what I've been listening to, because when I'm in a giant,

2320
01:46:55,840 --> 01:46:57,840
Speaker 3: a lot be turning on me a lot. I was

2321
01:46:57,960 --> 01:47:01,360
Speaker 3: just listening to some of that Yak understand Me, that

2322
01:47:01,479 --> 01:47:02,160
Speaker 3: Kodak Black.

2323
01:47:03,720 --> 01:47:04,519
Speaker 1: I like some of it.

2324
01:47:04,600 --> 01:47:06,920
Speaker 3: I think a lot of it is vibes, feels like

2325
01:47:07,200 --> 01:47:09,479
Speaker 3: he went he went in the studio, I listen to

2326
01:47:09,520 --> 01:47:10,519
Speaker 3: the whole down, just listen to.

2327
01:47:10,520 --> 01:47:12,120
Speaker 2: It on the way here, so I can't really give

2328
01:47:13,680 --> 01:47:14,280
Speaker 2: I listened to that.

2329
01:47:15,840 --> 01:47:16,599
Speaker 1: I think it's dope.

2330
01:47:16,600 --> 01:47:17,479
Speaker 2: It's not my vibe.

2331
01:47:17,760 --> 01:47:21,040
Speaker 3: It's different, different when I go through it because I

2332
01:47:21,160 --> 01:47:23,360
Speaker 3: like Vin Staples so much that I'm trying to find

2333
01:47:24,479 --> 01:47:26,240
Speaker 3: something that could be my vibe.

2334
01:47:26,280 --> 01:47:28,200
Speaker 1: But I think that's what you like him, right.

2335
01:47:28,520 --> 01:47:31,080
Speaker 3: I think that's a bad way to approach music for sure, right,

2336
01:47:31,160 --> 01:47:33,800
Speaker 3: Like it should come natural to you. And so maybe

2337
01:47:33,960 --> 01:47:37,000
Speaker 3: again the way I'm listening to something, I might put

2338
01:47:37,080 --> 01:47:39,160
Speaker 3: it on as I'm in a car or I'm walking,

2339
01:47:39,800 --> 01:47:42,320
Speaker 3: I got to put it myself in a different environment

2340
01:47:42,439 --> 01:47:44,240
Speaker 3: to try to see if I can enjoy that music

2341
01:47:44,320 --> 01:47:46,360
Speaker 3: in the environment in which it was supposed to exist.

2342
01:47:46,840 --> 01:47:49,639
Speaker 3: But right now, it's not my my type of vie.

2343
01:47:49,720 --> 01:47:53,720
Speaker 1: You obviously you're from Oakland. What are your thoughts on

2344
01:47:55,120 --> 01:47:58,679
Speaker 1: what seemed to be like a very quick everybody turning

2345
01:47:58,680 --> 01:48:01,560
Speaker 1: their back on the Rustle earlier this year. He just

2346
01:48:01,640 --> 01:48:03,679
Speaker 1: made his return to the internet, just was on America's

2347
01:48:03,720 --> 01:48:07,840
Speaker 1: Got Talent this week. Actually, I think he had a

2348
01:48:08,040 --> 01:48:10,400
Speaker 1: you know, he had a moment that didn't know his way,

2349
01:48:10,520 --> 01:48:15,200
Speaker 1: and I think even like that song. I mean, what

2350
01:48:15,240 --> 01:48:16,200
Speaker 1: are your thoughts on that whole thing?

2351
01:48:16,640 --> 01:48:20,400
Speaker 3: Larrussell will always be a star. He's a permanent star.

2352
01:48:21,200 --> 01:48:23,840
Speaker 3: That light ain't going away nowhere. In fact, when we

2353
01:48:23,920 --> 01:48:28,919
Speaker 3: look at social media, social media reacts the way it's designed.

2354
01:48:29,640 --> 01:48:32,880
Speaker 3: It's designed to be polarizing. It's not designed to understand you.

2355
01:48:33,320 --> 01:48:34,839
Speaker 3: It's designed to take clickbait.

2356
01:48:35,120 --> 01:48:38,080
Speaker 1: It's not designed for nuance, no nuance whatsoever.

2357
01:48:38,840 --> 01:48:41,280
Speaker 3: And so I heard somebody give a great breakdown that

2358
01:48:42,080 --> 01:48:45,000
Speaker 3: if I want to be more polarized, and I'll give

2359
01:48:45,000 --> 01:48:46,960
Speaker 3: an opinion, if I want to be more understood, I'll

2360
01:48:47,000 --> 01:48:50,960
Speaker 3: give a perspective. Once you give a perspective, you can't

2361
01:48:51,000 --> 01:48:54,040
Speaker 3: really fight somebody's perspective. It's just the way I see it, right,

2362
01:48:55,080 --> 01:48:57,560
Speaker 3: And opinion is a little more less objective in the

2363
01:48:57,640 --> 01:48:59,519
Speaker 3: sense that you're saying this is what it is and

2364
01:48:59,600 --> 01:49:01,680
Speaker 3: the person and then gets angry. No, it ain't like that,

2365
01:49:01,760 --> 01:49:06,240
Speaker 3: because everybody wants to have a battle of opinions. So

2366
01:49:06,360 --> 01:49:08,120
Speaker 3: when I see what l Russell did, I think the

2367
01:49:08,240 --> 01:49:13,439
Speaker 3: only thing was probably taking it personal. You know, when

2368
01:49:13,520 --> 01:49:15,680
Speaker 3: you have a machine, that machine can work for you

2369
01:49:15,760 --> 01:49:17,800
Speaker 3: and it can work against you. Right, when you have

2370
01:49:17,840 --> 01:49:20,960
Speaker 3: a machine that is amplifying everything you're doing. Something that

2371
01:49:21,040 --> 01:49:23,360
Speaker 3: would have been a normal moment in his regular life

2372
01:49:23,920 --> 01:49:26,400
Speaker 3: now became a moment that the machine picked up because

2373
01:49:26,400 --> 01:49:28,160
Speaker 3: he just had the supermold moment. He just had the

2374
01:49:28,240 --> 01:49:30,640
Speaker 3: jay Z moment, he just had the signing moment. So

2375
01:49:30,920 --> 01:49:33,280
Speaker 3: for me, it was I think it was one of

2376
01:49:33,360 --> 01:49:37,120
Speaker 3: those first moments of seeing the negative publicity pick up

2377
01:49:37,160 --> 01:49:39,000
Speaker 3: the way the positive publicity picks up.

2378
01:49:39,320 --> 01:49:41,320
Speaker 1: And I think it was a perfect example of a

2379
01:49:41,400 --> 01:49:42,719
Speaker 1: lot of people looking.

2380
01:49:42,560 --> 01:49:44,760
Speaker 2: For a reason and not like Lrussell, Yeah, well like

2381
01:49:45,439 --> 01:49:49,040
Speaker 2: it once you no longer the so called underdogs like

2382
01:49:49,160 --> 01:49:51,040
Speaker 2: oh you sab a rock nation, you sold out? Now

2383
01:49:51,080 --> 01:49:53,160
Speaker 2: we got a reason to say fuck you, right, But

2384
01:49:53,200 --> 01:49:55,120
Speaker 2: it's supposed to being like, well, the whole song is

2385
01:49:55,200 --> 01:49:57,280
Speaker 2: on Spotify, and if you listen to the whole song,

2386
01:49:57,800 --> 01:49:59,879
Speaker 2: you understand where the concept.

2387
01:50:00,240 --> 01:50:02,160
Speaker 1: Yeah, like clip the way it was clipped.

2388
01:50:02,560 --> 01:50:07,160
Speaker 4: Sure I could see, but still no nuance, like anybody

2389
01:50:07,240 --> 01:50:09,519
Speaker 4: with a brain could understand what he was trying to say. Now,

2390
01:50:10,280 --> 01:50:13,320
Speaker 4: the reaction he had that I think you said, like

2391
01:50:13,600 --> 01:50:16,040
Speaker 4: taking the reaction personal maybe is kind of where.

2392
01:50:16,000 --> 01:50:18,000
Speaker 3: Yeah, he lost a lot and I'm sure that he

2393
01:50:18,479 --> 01:50:21,720
Speaker 3: you know, I don't know what again, we kind of

2394
01:50:21,760 --> 01:50:22,719
Speaker 3: take the human out.

2395
01:50:22,600 --> 01:50:25,000
Speaker 1: Of things for sure. I mean, look, he took himself

2396
01:50:25,000 --> 01:50:25,639
Speaker 1: off social media.

2397
01:50:25,680 --> 01:50:28,679
Speaker 3: I mean right, but it's like where you have to conclude,

2398
01:50:29,040 --> 01:50:31,160
Speaker 3: I don't know his state of mind. Right, you just

2399
01:50:31,240 --> 01:50:33,200
Speaker 3: had one of the best moments of your life. You

2400
01:50:33,560 --> 01:50:35,760
Speaker 3: might even be burnt out from all these things that's

2401
01:50:35,840 --> 01:50:39,400
Speaker 3: going on, and you feel like, I've done so much

2402
01:50:39,479 --> 01:50:42,160
Speaker 3: for a community, I've done so much for people. I've

2403
01:50:42,200 --> 01:50:44,760
Speaker 3: put so many people on and sometimes it feels like, man,

2404
01:50:45,400 --> 01:50:47,960
Speaker 3: you can do a whole life, right, and then one

2405
01:50:48,080 --> 01:50:51,040
Speaker 3: moment people can hate you for and that can feel

2406
01:50:51,200 --> 01:50:53,720
Speaker 3: very troubling. Right when you think about that, It's like,

2407
01:50:53,760 --> 01:50:56,000
Speaker 3: I'm doing all of this for people every single day,

2408
01:50:56,400 --> 01:50:57,800
Speaker 3: and then you realize it don't matter.

2409
01:50:57,880 --> 01:50:59,839
Speaker 2: The only thing that matters is the last moment.

2410
01:50:59,680 --> 01:51:03,160
Speaker 1: That they sauce and they won't give you. They to

2411
01:51:03,680 --> 01:51:06,400
Speaker 1: understand the point you were trying to make. This is

2412
01:51:06,439 --> 01:51:08,640
Speaker 1: a guy who's got free Palestine Freestyle.

2413
01:51:08,840 --> 01:51:12,360
Speaker 3: Yeah, I mean, he's putting on communities, he's putting on businesses,

2414
01:51:12,439 --> 01:51:15,360
Speaker 3: he's feeding people, he has a platform that's putting on

2415
01:51:15,439 --> 01:51:18,759
Speaker 3: independent artists. He's taking children and putting them on stages.

2416
01:51:18,800 --> 01:51:21,840
Speaker 3: And giving people careers and giving out money and changing

2417
01:51:21,920 --> 01:51:24,880
Speaker 3: the industry and the independent lens of things and sharing game.

2418
01:51:25,200 --> 01:51:27,240
Speaker 3: And it's like, you're not going to conclude all of

2419
01:51:27,320 --> 01:51:32,200
Speaker 3: that into your next perspective on Nah. So I don't

2420
01:51:32,240 --> 01:51:34,840
Speaker 3: buy no hate against people because I know how the

2421
01:51:34,920 --> 01:51:38,040
Speaker 3: internet loves to hate people, right, and so the love

2422
01:51:38,560 --> 01:51:40,920
Speaker 3: can easily be flipped into hate because it's just an

2423
01:51:40,960 --> 01:51:43,439
Speaker 3: emotion and depending on how it's being charged at the

2424
01:51:43,520 --> 01:51:46,400
Speaker 3: moment and what narrative is being spun. But that can

2425
01:51:46,439 --> 01:51:48,840
Speaker 3: make a person feel a certain way when you're doing

2426
01:51:48,920 --> 01:51:51,360
Speaker 3: so much good and then people try to spend it

2427
01:51:51,760 --> 01:51:53,960
Speaker 3: as if I'm actually allowed to have a bad day.

2428
01:51:54,439 --> 01:51:57,160
Speaker 3: I'm allowed to fuck up. I'm allowed to have mistakes.

2429
01:51:57,200 --> 01:51:59,800
Speaker 3: I'm allowed to do something wrong because the other rappers

2430
01:52:00,000 --> 01:52:04,960
Speaker 3: I'll to see talking about killing, murdering, prostitution, pimping, gambling

2431
01:52:05,360 --> 01:52:07,800
Speaker 3: and every other thing, y'all still rock with them one

2432
01:52:07,880 --> 01:52:08,960
Speaker 3: hundred percent all day.

2433
01:52:09,280 --> 01:52:11,000
Speaker 1: He's not wrong to have that perspective.

2434
01:52:11,120 --> 01:52:13,560
Speaker 3: Yeah, I think you have to in order to be

2435
01:52:13,640 --> 01:52:16,760
Speaker 3: successful today. You just gotta not care and you still

2436
01:52:16,800 --> 01:52:18,640
Speaker 3: have to be intentional about how you move, but you

2437
01:52:18,720 --> 01:52:20,480
Speaker 3: have to understand that everything is temporary.

2438
01:52:20,960 --> 01:52:22,280
Speaker 2: You understand me, and the people.

2439
01:52:22,120 --> 01:52:24,960
Speaker 3: That's hating online are not the same people that's offline.

2440
01:52:25,320 --> 01:52:27,400
Speaker 3: I've been across the planet Earth, and I got nothing

2441
01:52:27,479 --> 01:52:29,559
Speaker 3: but love across the hole in planet Earth. I got

2442
01:52:29,640 --> 01:52:34,040
Speaker 3: nothing but respect online. I've been disrespected before. Online needs

2443
01:52:34,080 --> 01:52:36,680
Speaker 3: done hate it before. I've never experienced that, not one

2444
01:52:36,760 --> 01:52:39,080
Speaker 3: time over the last ten years since I've.

2445
01:52:39,000 --> 01:52:41,880
Speaker 1: Been a public figure, any of that energy. Right.

2446
01:52:42,720 --> 01:52:46,400
Speaker 3: So I know that there's a complete disconnect on what's

2447
01:52:46,520 --> 01:52:51,599
Speaker 3: reality right and then what's social media right. That's true,

2448
01:52:52,040 --> 01:52:54,200
Speaker 3: But Lorussel is one of the ones that man, when

2449
01:52:54,200 --> 01:52:56,800
Speaker 3: you see a person do ninety ninety nine percent good,

2450
01:52:57,280 --> 01:52:59,880
Speaker 3: I don't care if he even if he meant it

2451
01:53:00,040 --> 01:53:02,720
Speaker 3: that way, I still rock with him because what I

2452
01:53:02,960 --> 01:53:07,400
Speaker 3: know of him, your pattern becomes your character, right, and

2453
01:53:07,560 --> 01:53:10,400
Speaker 3: the pattern of who he is, the dominance of who

2454
01:53:10,479 --> 01:53:14,160
Speaker 3: he is, will override anything that I disagree with. I

2455
01:53:14,200 --> 01:53:15,840
Speaker 3: will still at the end of the day say that's

2456
01:53:15,920 --> 01:53:18,320
Speaker 3: my brother, right. And so I think that I did

2457
01:53:18,360 --> 01:53:20,000
Speaker 3: see a lot of people jump out the window and

2458
01:53:20,160 --> 01:53:25,360
Speaker 3: was so ready, was ready to hate, you know what

2459
01:53:25,360 --> 01:53:27,080
Speaker 3: I mean, because he'd have made it to a place

2460
01:53:27,160 --> 01:53:29,720
Speaker 3: that they never will. And so now they mad and

2461
01:53:29,880 --> 01:53:31,640
Speaker 3: there's this thing that well, if I can tear you.

2462
01:53:31,720 --> 01:53:34,760
Speaker 1: Down, I can have a come up. Yeah, and it's

2463
01:53:34,800 --> 01:53:38,040
Speaker 1: like it's shut out to t shout out to Larussell.

2464
01:53:38,400 --> 01:53:39,080
Speaker 2: You understand me.

2465
01:53:39,760 --> 01:53:42,719
Speaker 3: Those are the good company man. They are incredible people,

2466
01:53:42,880 --> 01:53:44,880
Speaker 3: good people. I've been seeing him for a long time

2467
01:53:45,439 --> 01:53:47,120
Speaker 3: and every time I see him as nothing but good

2468
01:53:47,240 --> 01:53:50,080
Speaker 3: energy love. He might ask a question to try to

2469
01:53:50,120 --> 01:53:53,120
Speaker 3: even get more perspective on things, because I remember when

2470
01:53:53,160 --> 01:53:54,960
Speaker 3: we was at Revote years ago, it's like, how do

2471
01:53:55,080 --> 01:54:00,160
Speaker 3: you deal with like managing, you know, being in the

2472
01:54:00,280 --> 01:54:03,200
Speaker 3: industry if you will while being you right, because I

2473
01:54:03,200 --> 01:54:06,120
Speaker 3: think people will see me as an outlier like and

2474
01:54:07,200 --> 01:54:10,599
Speaker 3: I think when Honorable Missed Louis Farakhm once said, when

2475
01:54:10,640 --> 01:54:13,240
Speaker 3: he walks into a room, he brings his own atmosphere.

2476
01:54:14,120 --> 01:54:16,479
Speaker 3: You know, like you can't go in and assimilate, you

2477
01:54:16,600 --> 01:54:20,200
Speaker 3: lose parts of yourself. Part of that being sovereign is

2478
01:54:20,360 --> 01:54:24,840
Speaker 3: understanding that you know you're going to affect people and

2479
01:54:24,960 --> 01:54:28,879
Speaker 3: impact people, right, and you have to understand the environments

2480
01:54:28,920 --> 01:54:32,160
Speaker 3: that you're stepping into that are not like you, and

2481
01:54:32,280 --> 01:54:35,200
Speaker 3: you can't let them change you to where that thing

2482
01:54:35,280 --> 01:54:37,240
Speaker 3: that made you special, the thing that made you stand

2483
01:54:37,320 --> 01:54:39,520
Speaker 3: out the thing that made you different. You start giving

2484
01:54:39,640 --> 01:54:41,800
Speaker 3: up more and more of that because you say, in

2485
01:54:41,960 --> 01:54:44,520
Speaker 3: order to be around these people, I should assimilate, I

2486
01:54:44,520 --> 01:54:46,880
Speaker 3: should think like them more, I should be like them more. No,

2487
01:54:47,800 --> 01:54:50,880
Speaker 3: you got here from being different, right, And what's going

2488
01:54:50,960 --> 01:54:53,560
Speaker 3: to make you not just stay here, but what's going

2489
01:54:53,640 --> 01:54:56,360
Speaker 3: to make you happy with your own success is being

2490
01:54:56,520 --> 01:55:00,120
Speaker 3: loyal to those parts of yourself that you believe that

2491
01:55:00,200 --> 01:55:03,160
Speaker 3: come from God. That's your values, that's your principles, that's

2492
01:55:03,200 --> 01:55:05,280
Speaker 3: your morals. You have to be consistent in that and

2493
01:55:05,480 --> 01:55:07,840
Speaker 3: not break it. And people are going to try to

2494
01:55:07,960 --> 01:55:10,200
Speaker 3: do that, from social media to people that's trying to

2495
01:55:10,240 --> 01:55:10,600
Speaker 3: get you to.

2496
01:55:10,640 --> 01:55:11,720
Speaker 2: Sell out and buy out.

2497
01:55:12,280 --> 01:55:14,680
Speaker 1: It's just more and so about sticking to your script

2498
01:55:15,040 --> 01:55:16,240
Speaker 1: and not letting everybody.

2499
01:55:16,000 --> 01:55:16,720
Speaker 2: Change your narrative.

2500
01:55:16,960 --> 01:55:18,720
Speaker 1: Okay, so album is dropping tomorrow.

2501
01:55:19,360 --> 01:55:22,680
Speaker 2: Yeah, June Teams drops tomorrow with the guys all platforms.

2502
01:55:23,200 --> 01:55:25,600
Speaker 2: Make sure you lock in. Still got the coffee, Still

2503
01:55:25,640 --> 01:55:26,839
Speaker 2: got the supermind coffee.

2504
01:55:28,440 --> 01:55:28,760
Speaker 1: Right now.

2505
01:55:28,880 --> 01:55:31,320
Speaker 3: We have the coffee, We have the tea, we got gummies,

2506
01:55:31,360 --> 01:55:34,360
Speaker 3: we got chocolates. Everything is all cognitive wellness. So it's

2507
01:55:34,400 --> 01:55:35,440
Speaker 3: super food for your brain.

2508
01:55:35,600 --> 01:55:36,280
Speaker 2: You understand me.

2509
01:55:37,160 --> 01:55:39,640
Speaker 3: Clean, No jitters none of those different things that you

2510
01:55:39,720 --> 01:55:42,920
Speaker 3: get from normal caffeine consumption and things of that nature.

2511
01:55:43,000 --> 01:55:46,040
Speaker 3: So we've been focusing on that. Our plan is to

2512
01:55:46,600 --> 01:55:49,960
Speaker 3: have a coffee shop startup. Our goal is to create

2513
01:55:50,040 --> 01:55:53,360
Speaker 3: these third spaces because we don't have enough in person experiences.

2514
01:55:53,960 --> 01:55:57,000
Speaker 3: July nineteenth, we have our AI networking event doing with

2515
01:55:57,200 --> 01:56:00,680
Speaker 3: my brother Rants yes, and we play. We're doing a

2516
01:56:00,760 --> 01:56:06,320
Speaker 3: hike this Sunday, a Freedom hike is Father's Day plus

2517
01:56:06,440 --> 01:56:10,040
Speaker 3: June teenth, yep, and we also have some networking events

2518
01:56:10,080 --> 01:56:11,160
Speaker 3: we're doing at the facility.

2519
01:56:11,320 --> 01:56:12,520
Speaker 1: Can you tell me about the facility?

2520
01:56:12,920 --> 01:56:15,920
Speaker 3: So it is owned by a family office called Factory

2521
01:56:16,960 --> 01:56:19,400
Speaker 3: and so that is a space that does it's a

2522
01:56:19,480 --> 01:56:22,880
Speaker 3: multi family office that does wealth management for the culture, right,

2523
01:56:22,960 --> 01:56:25,240
Speaker 3: and then there's the Factory Club that is the coordination

2524
01:56:25,400 --> 01:56:28,920
Speaker 3: layer for the culture. So how you put infrastructure behind influence?

2525
01:56:28,960 --> 01:56:31,520
Speaker 3: How do we make sure that we actually own the culture?

2526
01:56:32,320 --> 01:56:33,880
Speaker 3: A lot of these things that we talk about are

2527
01:56:33,960 --> 01:56:36,720
Speaker 3: like super fragmented, But I'm in there daily with people

2528
01:56:37,080 --> 01:56:39,560
Speaker 3: that are EXE regulated. Right when it comes to being

2529
01:56:39,600 --> 01:56:42,480
Speaker 3: a financial advisor, when it comes to wealth managing of

2530
01:56:42,560 --> 01:56:45,000
Speaker 3: billions of dollars, when it comes to how you structure

2531
01:56:45,040 --> 01:56:48,600
Speaker 3: deals and how you do business with governments and raise

2532
01:56:48,680 --> 01:56:50,680
Speaker 3: hundreds of millions of dollars and things of that nature.

2533
01:56:50,760 --> 01:56:53,240
Speaker 3: That's the infrastructure layer that I think that we've always

2534
01:56:53,360 --> 01:56:55,120
Speaker 3: missed to become an institution.

2535
01:56:55,360 --> 01:56:56,360
Speaker 2: So it's more so.

2536
01:56:56,480 --> 01:56:59,440
Speaker 3: About taking all of our influences collectively and saying what

2537
01:56:59,560 --> 01:57:00,160
Speaker 3: power we have.

2538
01:57:01,000 --> 01:57:04,000
Speaker 1: And then the hackathons that you do, how often do

2539
01:57:04,040 --> 01:57:06,760
Speaker 1: you do those? What are the goals are doing monthly?

2540
01:57:07,440 --> 01:57:09,160
Speaker 1: The goal is also networking.

2541
01:57:09,240 --> 01:57:11,520
Speaker 3: Make sure we have face to face experiences with each

2542
01:57:11,520 --> 01:57:13,400
Speaker 3: other and we're not online on the computer.

2543
01:57:13,160 --> 01:57:17,720
Speaker 1: Type like Chattanooga, Tennessee. They can't get to LA. Yeah,

2544
01:57:17,880 --> 01:57:20,760
Speaker 1: is there a way to participate in getting some of

2545
01:57:20,800 --> 01:57:22,640
Speaker 1: the AI game from you? Or yeah?

2546
01:57:22,720 --> 01:57:26,280
Speaker 3: So we do two AI weekly live labs, so we

2547
01:57:26,560 --> 01:57:29,200
Speaker 3: take you through there. You can get your questions asked,

2548
01:57:29,240 --> 01:57:31,080
Speaker 3: whatever you have when it comes to AI. We do

2549
01:57:31,240 --> 01:57:33,520
Speaker 3: live building sessions, so we show you how to build

2550
01:57:33,520 --> 01:57:37,040
Speaker 3: it in real time, and that's through our high level university.

2551
01:57:37,160 --> 01:57:39,600
Speaker 3: But our platform is called Zion, so you can go

2552
01:57:39,720 --> 01:57:42,640
Speaker 3: there and apply and then you get two weekly passes

2553
01:57:42,720 --> 01:57:45,840
Speaker 3: to be inside these classes learning as we go, right,

2554
01:57:45,920 --> 01:57:48,840
Speaker 3: So there's no excuse to say, well, you know, I

2555
01:57:48,880 --> 01:57:51,440
Speaker 3: don't want to just look at a course video. I

2556
01:57:51,480 --> 01:57:53,680
Speaker 3: don't want to just go online and just learn from

2557
01:57:53,720 --> 01:57:56,760
Speaker 3: people that's just dropping information. No, you get to actually

2558
01:57:56,880 --> 01:58:01,240
Speaker 3: ask questions. You get to build alongside somebody that's building websites,

2559
01:58:01,280 --> 01:58:04,240
Speaker 3: somebody building AI agent, somebody that's teaching you about all

2560
01:58:04,320 --> 01:58:06,440
Speaker 3: this language you might hear out of there. And the

2561
01:58:06,520 --> 01:58:08,680
Speaker 3: goal is to take really one hundred people then getting

2562
01:58:08,680 --> 01:58:11,280
Speaker 3: them making their first ten thousand dollars a month, right,

2563
01:58:11,520 --> 01:58:13,880
Speaker 3: that's the real goal with the AI. So my brother

2564
01:58:13,960 --> 01:58:16,200
Speaker 3: Antoine Digital, who's been doing this for like the last

2565
01:58:16,560 --> 01:58:18,880
Speaker 3: ten to fifteen years, who had taught himself how to

2566
01:58:18,960 --> 01:58:21,040
Speaker 3: cold and he has colded thousands of apps and put

2567
01:58:21,080 --> 01:58:23,440
Speaker 3: a bunch of them on social I mean on the

2568
01:58:23,480 --> 01:58:26,160
Speaker 3: app store. He is the one that is leading it

2569
01:58:26,360 --> 01:58:26,960
Speaker 3: week to week.

2570
01:58:27,560 --> 01:58:29,840
Speaker 1: That's fire. Yeah, I don't think people understand like the

2571
01:58:30,000 --> 01:58:32,680
Speaker 1: if you have an app idea. Yeah, it used to

2572
01:58:32,720 --> 01:58:35,480
Speaker 1: be like, you know, almost like back in the day

2573
01:58:35,520 --> 01:58:38,280
Speaker 1: when you were a rapper. Yeah, the idea of getting

2574
01:58:38,280 --> 01:58:41,320
Speaker 1: your music heard by anybody when it was CDs and tapes,

2575
01:58:41,560 --> 01:58:44,560
Speaker 1: just like it felt impossible. How do you do recording studio?

2576
01:58:44,680 --> 01:58:46,480
Speaker 1: Do you know? How? Now it's like if you have

2577
01:58:46,520 --> 01:58:49,400
Speaker 1: an app idea, like it's not far away from you

2578
01:58:49,840 --> 01:58:51,200
Speaker 1: making it, not at all.

2579
01:58:51,440 --> 01:58:54,720
Speaker 3: No, I mean like now nothing should stay an idea, right.

2580
01:58:55,280 --> 01:58:56,560
Speaker 1: I think about it. I don't know if you saw

2581
01:58:56,600 --> 01:58:58,600
Speaker 1: that game like two years ago, like NBA Young Boy

2582
01:58:58,720 --> 01:59:00,880
Speaker 1: Broke out of Jail. It was like an app that

2583
01:59:01,080 --> 01:59:04,120
Speaker 1: was went viral on and it was like unauthorized. Somebody

2584
01:59:04,200 --> 01:59:06,320
Speaker 1: just made it on chat GPTs. Yeah, and you're just

2585
01:59:06,520 --> 01:59:08,840
Speaker 1: NBA Young Boy breaking out of Jail. Yeah. I don't

2586
01:59:08,880 --> 01:59:10,520
Speaker 1: know how much money the guy made, but he had

2587
01:59:10,600 --> 01:59:13,200
Speaker 1: to have just like spitballed that into chat gpt What.

2588
01:59:13,320 --> 01:59:16,080
Speaker 3: Night did you see the guy who created two forms

2589
01:59:16,120 --> 01:59:17,720
Speaker 3: so when you were filming you can do it in

2590
01:59:17,800 --> 01:59:19,240
Speaker 3: horizontal and vertical at once.

2591
01:59:19,680 --> 01:59:19,720
Speaker 1: No.

2592
01:59:20,240 --> 01:59:22,560
Speaker 3: So he vibe coded something because he had a problem

2593
01:59:22,640 --> 01:59:24,920
Speaker 3: he wanted to fix because he was making viral content

2594
01:59:24,960 --> 01:59:27,560
Speaker 3: about squirrels or something. But he didn't want to have

2595
01:59:27,680 --> 01:59:32,040
Speaker 3: to reshoot sometimes horizontal sometimes for different social pages. So

2596
01:59:32,240 --> 01:59:34,600
Speaker 3: he just vibe coded an app and it ended up

2597
01:59:34,600 --> 01:59:36,800
Speaker 3: becoming number one right in the app store.

2598
01:59:37,000 --> 01:59:39,400
Speaker 1: Crazy and such an easy thing to think of, like, hey,

2599
01:59:40,000 --> 01:59:41,320
Speaker 1: it would be nice if we can.

2600
01:59:41,440 --> 01:59:43,600
Speaker 3: Yeah, like one of the use cases I use in

2601
01:59:43,680 --> 01:59:47,240
Speaker 3: my business is building our CRMs right. So we built

2602
01:59:47,280 --> 01:59:51,080
Speaker 3: out a two hundred and forty six thousand customer CRM

2603
01:59:51,200 --> 01:59:55,400
Speaker 3: system that can automatically rank people from hot, cold, and warm.

2604
01:59:55,720 --> 01:59:57,760
Speaker 3: I can see how much they bought, when they bought,

2605
01:59:57,800 --> 02:00:00,120
Speaker 3: where they went to a tour, how many times, what

2606
02:00:00,240 --> 02:00:03,440
Speaker 3: they patterns right, and then we then took that information

2607
02:00:03,600 --> 02:00:06,240
Speaker 3: and create what we call passports on our platform, so

2608
02:00:06,520 --> 02:00:08,600
Speaker 3: it essentially sends them an email to be like, yo,

2609
02:00:08,640 --> 02:00:11,720
Speaker 3: collect your passport. You get two free weeks of AI

2610
02:00:11,880 --> 02:00:14,800
Speaker 3: Live labs. So now I can retarget my customers.

2611
02:00:14,920 --> 02:00:17,120
Speaker 1: So if you see somebody as like a committed customer,

2612
02:00:17,800 --> 02:00:19,600
Speaker 1: you can reach out to them with you like, hey.

2613
02:00:19,640 --> 02:00:22,560
Speaker 3: Yeah, now I know their exact names, I know who

2614
02:00:22,680 --> 02:00:24,680
Speaker 3: they are, I know how many times they supported, I

2615
02:00:24,800 --> 02:00:26,520
Speaker 3: know how many times they've shown up.

2616
02:00:27,080 --> 02:00:30,880
Speaker 1: That data is invaluable for entrepreneurs right now, no matter

2617
02:00:30,920 --> 02:00:33,120
Speaker 1: what your if you have a restaurant, exactly.

2618
02:00:32,840 --> 02:00:35,280
Speaker 3: Like every tour that we've done has been self funded

2619
02:00:35,320 --> 02:00:37,440
Speaker 3: and independent, so we get to keep all that data

2620
02:00:37,880 --> 02:00:40,560
Speaker 3: anytime we've done it with somebody else, like CIA wants

2621
02:00:40,600 --> 02:00:43,440
Speaker 3: to keep all the data. They want to keep it exactly,

2622
02:00:43,560 --> 02:00:46,160
Speaker 3: and then they're trying to say our value is interpreting

2623
02:00:46,200 --> 02:00:48,800
Speaker 3: the data for you. Right, So now you have the

2624
02:00:48,880 --> 02:00:52,120
Speaker 3: ability to start your own agency inside your company right

2625
02:00:52,240 --> 02:00:55,160
Speaker 3: to where you can analyze your own data and then

2626
02:00:55,600 --> 02:00:59,000
Speaker 3: make the data driven decisions. Right, you can do your

2627
02:00:59,040 --> 02:01:03,000
Speaker 3: own research and then make research driven decisions. So I

2628
02:01:03,080 --> 02:01:05,480
Speaker 3: think that this is important that people understand it. And

2629
02:01:05,600 --> 02:01:08,360
Speaker 3: the last thing that I wanted to say is about

2630
02:01:08,400 --> 02:01:11,680
Speaker 3: these the local models. I think that everybody should be

2631
02:01:11,760 --> 02:01:16,280
Speaker 3: focusing on not just using chg EPT in Claude locally,

2632
02:01:16,360 --> 02:01:20,640
Speaker 3: it's installing it on your computer inside the terminal. Right,

2633
02:01:20,840 --> 02:01:22,680
Speaker 3: that's what we really focus on. That's what me and

2634
02:01:22,800 --> 02:01:27,000
Speaker 3: my brother Rans fifteen hundred, my brother Exavier Systems focus on,

2635
02:01:27,120 --> 02:01:29,760
Speaker 3: and that's what we've taught people at the last AI hackathon.

2636
02:01:30,440 --> 02:01:32,560
Speaker 3: And once you do that, you can then set it

2637
02:01:32,640 --> 02:01:34,080
Speaker 3: up in a way that it is secure, you can

2638
02:01:34,120 --> 02:01:36,360
Speaker 3: give it access to your data. Once you give it

2639
02:01:36,400 --> 02:01:39,040
Speaker 3: access to your data. We've had people that are in

2640
02:01:39,120 --> 02:01:43,160
Speaker 3: the music industry that had really great testimonials because they

2641
02:01:43,200 --> 02:01:46,080
Speaker 3: found money that they were old, right, they found fifty

2642
02:01:46,080 --> 02:01:48,800
Speaker 3: different ways to make money on their music. They was

2643
02:01:48,880 --> 02:01:50,960
Speaker 3: able to go through all their data and be like, oh,

2644
02:01:51,080 --> 02:01:52,360
Speaker 3: this is really good ip that.

2645
02:01:52,400 --> 02:01:54,480
Speaker 2: Can be converted into an ebook that you're sitting here.

2646
02:01:54,600 --> 02:01:57,400
Speaker 1: So if you install it that way, it's a lot

2647
02:01:57,560 --> 02:02:00,760
Speaker 1: more trustworthy way to say, yeah, let me get you

2648
02:02:00,840 --> 02:02:03,280
Speaker 1: into all the back end. Yes. So having Claude have

2649
02:02:03,440 --> 02:02:04,800
Speaker 1: access to your email.

2650
02:02:04,600 --> 02:02:09,200
Speaker 3: And when you're using Claude and CHGPT, you're training their

2651
02:02:09,280 --> 02:02:13,080
Speaker 3: next model with your data, right, so every time you're

2652
02:02:13,160 --> 02:02:15,400
Speaker 3: prompting that is going to them. And those models are

2653
02:02:15,480 --> 02:02:19,080
Speaker 3: influenced by companies, they're influenced by the advertisers, they're influenced

2654
02:02:19,080 --> 02:02:22,120
Speaker 3: by the government, you know, So it's being trained on

2655
02:02:22,240 --> 02:02:24,480
Speaker 3: the collective versus you have in a local model that

2656
02:02:24,560 --> 02:02:26,040
Speaker 3: you can customize.

2657
02:02:25,520 --> 02:02:26,240
Speaker 2: To be trained on you.

2658
02:02:26,880 --> 02:02:28,480
Speaker 3: And then they have what you call weights, and the

2659
02:02:28,560 --> 02:02:31,840
Speaker 3: weights is basically adjusting the model itself, so you can

2660
02:02:31,880 --> 02:02:35,200
Speaker 3: do a lot more customizable things. You can download free

2661
02:02:35,280 --> 02:02:37,680
Speaker 3: models to where you're not paying for these image models,

2662
02:02:37,680 --> 02:02:39,840
Speaker 3: you're not paying for these video models. You can go

2663
02:02:39,960 --> 02:02:42,760
Speaker 3: and get hub, you can download Quinn and all these

2664
02:02:42,840 --> 02:02:45,240
Speaker 3: other things. So we also not trying to get people

2665
02:02:45,240 --> 02:02:47,520
Speaker 3: to spend a bunch of money on AI. We're trying

2666
02:02:47,520 --> 02:02:49,720
Speaker 3: to get you to make sure that it's personalized for you.

2667
02:02:50,200 --> 02:02:52,440
Speaker 3: They're not taking a culture and then training off the

2668
02:02:52,480 --> 02:02:54,520
Speaker 3: culture and then trying to replace us. The same way,

2669
02:02:55,040 --> 02:02:57,800
Speaker 3: you will have rappers like Symbol Me and Symbols talking

2670
02:02:57,840 --> 02:02:59,720
Speaker 3: about this, rappers that go to some of these companies

2671
02:02:59,760 --> 02:03:01,520
Speaker 3: and be rapid for them so that they can learn

2672
02:03:01,600 --> 02:03:03,720
Speaker 3: the cadence, they can learn the language, and then they

2673
02:03:03,760 --> 02:03:07,320
Speaker 3: can train the models. Right, So you have to be

2674
02:03:07,480 --> 02:03:10,520
Speaker 3: careful as we're using these platforms. They're training how to

2675
02:03:10,640 --> 02:03:13,600
Speaker 3: replace the culture. They're plaining how to replace you. But

2676
02:03:13,680 --> 02:03:15,800
Speaker 3: if you're using locally and no data is being sent

2677
02:03:15,880 --> 02:03:19,480
Speaker 3: to them, and I probably oversimplify the way you set

2678
02:03:19,520 --> 02:03:21,720
Speaker 3: it up. And that's why we have our trainings to

2679
02:03:21,800 --> 02:03:23,960
Speaker 3: make sure you're doing it securely. But this is the

2680
02:03:24,000 --> 02:03:26,000
Speaker 3: way that we're not training our replacements.

2681
02:03:26,160 --> 02:03:26,680
Speaker 1: That makes sense.

2682
02:03:27,120 --> 02:03:30,320
Speaker 3: You can go to computer, you can go to there's

2683
02:03:30,360 --> 02:03:32,920
Speaker 3: a Google application. I forget what the model is called

2684
02:03:32,960 --> 02:03:35,200
Speaker 3: right now, but you can install it on your phone completely.

2685
02:03:35,280 --> 02:03:36,800
Speaker 3: So if you lost in the woods and ain't got

2686
02:03:36,840 --> 02:03:38,680
Speaker 3: no internet, you still have an AI that you can

2687
02:03:38,760 --> 02:03:41,760
Speaker 3: ask any question you want to, Like, we don't know

2688
02:03:41,960 --> 02:03:44,120
Speaker 3: all of the things that we can do with AI.

2689
02:03:44,600 --> 02:03:46,720
Speaker 3: And this is what I want us to understand, because

2690
02:03:46,760 --> 02:03:48,840
Speaker 3: I see people that are ignorant of it because these

2691
02:03:48,920 --> 02:03:52,960
Speaker 3: data censors are being put in black communities, are poisoning

2692
02:03:53,040 --> 02:03:56,040
Speaker 3: the water, are poisoning the air. So how can we

2693
02:03:56,160 --> 02:03:58,760
Speaker 3: then make sure that we're not participating in the poisoning.

2694
02:03:59,040 --> 02:04:01,080
Speaker 3: You can't do that if you're ignorant of how these

2695
02:04:01,120 --> 02:04:04,080
Speaker 3: things work. AI literacy is a new financial literacy. You

2696
02:04:04,080 --> 02:04:04,640
Speaker 3: gotta get you some.

2697
02:04:04,960 --> 02:04:07,160
Speaker 1: I love it, man, Well listen, I appreciate you pulling up.

2698
02:04:07,640 --> 02:04:10,240
Speaker 1: Go get his album. Yeah, man, tap it in with me. Uh,

2699
02:04:11,040 --> 02:04:13,880
Speaker 1: go support the sign up for a hackathon. What's the

2700
02:04:13,920 --> 02:04:15,320
Speaker 1: website people can sign up for all that.

2701
02:04:15,640 --> 02:04:16,960
Speaker 2: Go to nineteen keys dot com.

2702
02:04:17,080 --> 02:04:17,760
Speaker 1: Slash ai.

2703
02:04:18,640 --> 02:04:20,160
Speaker 2: Uh you go to nineteen keys dot com.

2704
02:04:20,600 --> 02:04:22,480
Speaker 1: Are you dropping on the YouTube channel when you do

2705
02:04:22,560 --> 02:04:24,720
Speaker 1: the like the high level conversations and ship.

2706
02:04:25,200 --> 02:04:28,720
Speaker 3: We're gonna start doing it back bi weekly. So we

2707
02:04:28,800 --> 02:04:31,960
Speaker 3: got the episodes coming out this Sunday. That's gonna be

2708
02:04:32,000 --> 02:04:35,240
Speaker 3: a really good one. My brother Kenan Beasley, but we

2709
02:04:35,360 --> 02:04:38,120
Speaker 3: had took some time off to really focus on the infrastructure.

2710
02:04:38,360 --> 02:04:40,240
Speaker 1: Yeah you know what I mean, because I remember initially

2711
02:04:40,240 --> 02:04:43,440
Speaker 1: I saw you on micro sheets channel Yeah yeah, yeah,

2712
02:04:43,840 --> 02:04:47,120
Speaker 1: and well that's that's how I found you. I was

2713
02:04:47,200 --> 02:04:51,000
Speaker 1: on his channel. Yeah, and then I just started checking out.

2714
02:04:51,000 --> 02:04:53,320
Speaker 1: Oh no, I've been podcasting for the last ten years now,

2715
02:04:53,960 --> 02:04:55,240
Speaker 1: you know what I mean. Like, he goes back to

2716
02:04:55,560 --> 02:04:58,120
Speaker 1: were you surprised as somebody who sat down with RFK

2717
02:04:58,280 --> 02:05:00,280
Speaker 1: for like three hours and had his best and review

2718
02:05:00,440 --> 02:05:02,360
Speaker 1: of the entire time he was running for president to

2719
02:05:02,360 --> 02:05:05,800
Speaker 1: see him kind of just fucking I don't know.

2720
02:05:06,160 --> 02:05:08,200
Speaker 3: Well, you know, we've been cited in Congress, so I'm

2721
02:05:08,200 --> 02:05:10,720
Speaker 3: glad we did that, you know what I mean. But

2722
02:05:11,360 --> 02:05:13,240
Speaker 3: I think a lot of people at the time was

2723
02:05:13,280 --> 02:05:15,040
Speaker 3: asking why would we sit down with him? At first,

2724
02:05:15,120 --> 02:05:17,440
Speaker 3: we were supposed to actually sit down with Jamal Bawman,

2725
02:05:17,440 --> 02:05:18,320
Speaker 3: who was a congressman.

2726
02:05:18,800 --> 02:05:22,400
Speaker 1: And at that time I wasn't mad at RFK back

2727
02:05:22,400 --> 02:05:25,920
Speaker 1: then by a third as an actual yeah, I wasn't

2728
02:05:25,920 --> 02:05:29,120
Speaker 1: mad at him. So at the time, what's the what's

2729
02:05:29,200 --> 02:05:29,600
Speaker 1: the league?

2730
02:05:29,640 --> 02:05:32,200
Speaker 3: The not the ad L, but the other Zion is

2731
02:05:32,240 --> 02:05:35,080
Speaker 3: a money pack a pak they had spent the most

2732
02:05:35,200 --> 02:05:36,440
Speaker 3: money against somebody in.

2733
02:05:36,440 --> 02:05:38,360
Speaker 1: The campaign, Jamal Bowman.

2734
02:05:38,480 --> 02:05:40,360
Speaker 3: Yeah, he was supposed to come down to sit with us.

2735
02:05:40,400 --> 02:05:42,280
Speaker 3: He will be the first politician that we had talked to.

2736
02:05:43,000 --> 02:05:45,520
Speaker 3: And then I guess his campaign strategies at the time

2737
02:05:45,680 --> 02:05:49,760
Speaker 3: was like, nah, let's not do keys right, and they

2738
02:05:49,880 --> 02:05:52,880
Speaker 3: made that wrong decision and then they ended up losing.

2739
02:05:53,560 --> 02:05:56,680
Speaker 3: And then Rfkking reached out to us, and I was like,

2740
02:05:56,760 --> 02:05:59,320
Speaker 3: why not let me see what happens when you can

2741
02:05:59,360 --> 02:06:02,920
Speaker 3: actually mix up in independent media can now be a

2742
02:06:03,040 --> 02:06:04,640
Speaker 3: part of these political processes.

2743
02:06:04,960 --> 02:06:06,120
Speaker 1: It was a conversation too.

2744
02:06:06,280 --> 02:06:07,800
Speaker 3: It was the best he ever had, which is why

2745
02:06:07,880 --> 02:06:10,280
Speaker 3: it's the one that it's the reason why it's the

2746
02:06:10,360 --> 02:06:12,640
Speaker 3: most cited because he got comfortable and he was having

2747
02:06:12,720 --> 02:06:16,520
Speaker 3: loan form conversations and those conversations are now being cited

2748
02:06:16,560 --> 02:06:19,040
Speaker 3: in Congress and consistently against him because it's when he

2749
02:06:19,120 --> 02:06:21,200
Speaker 3: was speaking the most truth of the way he thinks.

2750
02:06:21,000 --> 02:06:24,120
Speaker 1: At that time. Had the election been at that time,

2751
02:06:24,480 --> 02:06:26,680
Speaker 1: that interview, that's what sold me on. I would have

2752
02:06:26,760 --> 02:06:29,320
Speaker 1: voted for our instead of Kamala or Trump for sure.

2753
02:06:29,440 --> 02:06:31,520
Speaker 1: Now obviously, well.

2754
02:06:31,600 --> 02:06:33,839
Speaker 2: I would have sat down with Kamala had that conversation.

2755
02:06:34,520 --> 02:06:36,240
Speaker 1: She wouldn't have sit down with me.

2756
02:06:36,640 --> 02:06:38,840
Speaker 3: But that's why she lost, not because she didn't sit

2757
02:06:38,880 --> 02:06:41,400
Speaker 3: down with me, but because she was unwilling right to

2758
02:06:41,440 --> 02:06:43,440
Speaker 3: sit down with people that's like me, right.

2759
02:06:43,520 --> 02:06:46,720
Speaker 1: She didn't go to show she's a human who can

2760
02:06:46,920 --> 02:06:50,920
Speaker 1: be put in uncomfortable positions and not be asked scripted questions.

2761
02:06:50,920 --> 02:06:52,280
Speaker 1: She already a knowledge exactly.

2762
02:06:52,600 --> 02:06:54,960
Speaker 3: If you're not willing to get put in that hot seat,

2763
02:06:54,960 --> 02:06:56,000
Speaker 3: then people ain't gonna believe you.

2764
02:06:56,000 --> 02:06:58,120
Speaker 1: I would love to see you sit down with Row Connor,

2765
02:06:58,800 --> 02:07:02,120
Speaker 1: who's he's the congressman in Silicon Valley. Okay, he's the

2766
02:07:02,120 --> 02:07:05,120
Speaker 1: guy who pushed the Epstein Transparency Act with and then

2767
02:07:05,200 --> 02:07:08,040
Speaker 1: Thomas Massey, who is the new congressman who's had the

2768
02:07:08,080 --> 02:07:11,720
Speaker 1: most money spent against them from APAC. Hey, they sat

2769
02:07:11,840 --> 02:07:14,280
Speaker 1: been with me thirty million dollars. Did you see this

2770
02:07:14,480 --> 02:07:15,400
Speaker 1: Bras in Kentucky?

2771
02:07:15,680 --> 02:07:17,600
Speaker 3: Well, I think I think they need this right now,

2772
02:07:17,800 --> 02:07:20,280
Speaker 3: like you need to be able to sit down and

2773
02:07:20,440 --> 02:07:22,920
Speaker 3: have these unscripted conversations that put you in a hot

2774
02:07:22,960 --> 02:07:24,760
Speaker 3: seat that people can see, even if you don't answer

2775
02:07:24,840 --> 02:07:27,280
Speaker 3: things perfectly, they can say this is a human being.

2776
02:07:27,400 --> 02:07:28,160
Speaker 1: Yep. Right.

2777
02:07:28,240 --> 02:07:31,120
Speaker 3: And I think that you being over polishing your campaign

2778
02:07:31,160 --> 02:07:33,880
Speaker 3: manager is the reason that you're losing because they're going

2779
02:07:33,920 --> 02:07:36,200
Speaker 3: off their experience and their experiences from an old world

2780
02:07:36,760 --> 02:07:39,000
Speaker 3: and people the world man, people don't want anything that

2781
02:07:39,360 --> 02:07:42,040
Speaker 3: is reminiscent of that old institutional style.

2782
02:07:42,360 --> 02:07:46,360
Speaker 1: Even Trump, all the podcasting he did how you felt

2783
02:07:46,400 --> 02:07:48,920
Speaker 1: about him as a dude. Well, the strategy was right,

2784
02:07:49,000 --> 02:07:52,040
Speaker 1: It was a great strategy. They understood attention and Jdvan

2785
02:07:52,400 --> 02:07:54,040
Speaker 1: is currently in the middle of trying to do that

2786
02:07:54,160 --> 02:07:54,400
Speaker 1: right now.

2787
02:07:54,440 --> 02:07:56,480
Speaker 3: I mean, and then of course you get the Charlie

2788
02:07:56,520 --> 02:07:58,800
Speaker 3: Kirks of the world that was funded to help put

2789
02:07:58,880 --> 02:08:03,160
Speaker 3: him into positions. Again, when I see what the opposition

2790
02:08:03,360 --> 02:08:05,920
Speaker 3: is doing, I'm always asking what are we willing to do?

2791
02:08:06,640 --> 02:08:08,600
Speaker 3: And a lot of us are disconnected from each other

2792
02:08:08,640 --> 02:08:10,920
Speaker 3: because they be like, well, maybe I don't agree with

2793
02:08:11,040 --> 02:08:12,840
Speaker 3: keys on this position or that position, but we all

2794
02:08:12,920 --> 02:08:13,800
Speaker 3: got the same enemies.

2795
02:08:14,080 --> 02:08:16,480
Speaker 1: It's the one position. It's the one position that you

2796
02:08:16,640 --> 02:08:19,080
Speaker 1: have that will make them not fuck with you. So

2797
02:08:19,160 --> 02:08:19,880
Speaker 1: it is the big z.

2798
02:08:20,160 --> 02:08:22,800
Speaker 3: I think that's some sucker shit to be like, here,

2799
02:08:22,880 --> 02:08:25,360
Speaker 3: we have the same enemy, but I'm unwilling to unite

2800
02:08:25,480 --> 02:08:27,400
Speaker 3: with you because we have small indifferences.

2801
02:08:27,760 --> 02:08:28,640
Speaker 2: That's narcissistic.

2802
02:08:28,760 --> 02:08:31,480
Speaker 1: It's really just the one the one difference though it

2803
02:08:31,560 --> 02:08:34,080
Speaker 1: feels like if it feels like, if you're like an

2804
02:08:34,920 --> 02:08:37,560
Speaker 1: establishment democrat, you're not going to sit down with someone

2805
02:08:37,600 --> 02:08:39,840
Speaker 1: who's like super anti Israel. Yeah, it just kind of

2806
02:08:39,960 --> 02:08:43,360
Speaker 1: is what it is. So, but I appreciate you, appreciate you.

2807
02:08:43,520 --> 02:08:47,320
Speaker 1: Nineteen Keys Broyes, Sir yes, sir boom, what y'all were

2808
02:08:47,360 --> 02:08:49,280
Speaker 1: here at Ease? You already know. If you're in La

2809
02:08:49,360 --> 02:08:52,440
Speaker 1: Southern cal Man, tap in, go to the website right now,

2810
02:08:52,840 --> 02:08:55,440
Speaker 1: use that promo code Bootlegger and to get thirty percent

2811
02:08:55,640 --> 02:09:01,320
Speaker 1: off Flower concentrates, whatever you're into, they got thirty percent off.

2812
02:09:01,520 --> 02:09:04,880
Speaker 1: Go to ease dot com right now. It'll get delivered

2813
02:09:04,920 --> 02:09:07,600
Speaker 1: right to your door. Or if you're in LA, pull

2814
02:09:07,680 --> 02:09:09,440
Speaker 1: up because we're here right now. Come on, men, shout

2815
02:09:09,440 --> 02:09:09,920
Speaker 1: out to Ease

2816
02:09:13,680 --> 02:09:13,720
Speaker 3: M