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Speaker 1: Good evening, everyone, and welcome to the Patriots Podcast. We

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Speaker 1: are season two, episode forty six. We live stream right

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Speaker 1: here from the America First Warehouse every Tuesday night at

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Speaker 1: seven thirty pm live.

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Speaker 2: We're happy to have you back with us.

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Speaker 3: We're happy to have you back with us.

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Speaker 2: I was thinking, thank you, thank you.

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Speaker 1: I had a great time being away with my kids

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Speaker 1: and my grandkids and celebrating birthdays and things. But it

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Speaker 1: is so good to be back. I always miss being

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Speaker 1: We missed you. We're doing this, but you will notice

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Speaker 1: that we have a guest with us. He's a familiar

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Speaker 1: faith Yes, Bobby, Bobby vinch Is from Freeminds, Thrive Vincench.

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Speaker 1: I cannot do it, Vincent Bobby Vincench, think of Vincenzo.

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Speaker 1: I do every time anyway, from Freeminds Thrive. Bobby, you've

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Speaker 1: been with us before. We're so happy you decided to

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Speaker 1: come back.

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Speaker 3: Good buddy, Yeah yeah. You guys like my skin it's

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Speaker 3: beef Hello.

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Speaker 4: Made by the one and only Manuka Honey and Beef Talo,

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Speaker 4: and everyone's.

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Speaker 3: Like, like, your skin lost good.

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Speaker 1: I'm like, it's beef, it's aging and reverse.

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Speaker 2: Now I'll tea, you know, I was.

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Speaker 4: I was at a doctor that we both go to

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Speaker 4: when they were talking at was at the I was

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Speaker 4: at the counter and they were talking about like lip bombs,

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Speaker 4: and I said, have you guys ever heard of beef tallow?

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Speaker 4: And they're like, yeah, you know what. Somebody told me

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Speaker 4: about that and I bet I said, you know, you

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Speaker 4: know Teresa right, and they go yeah, and she goes,

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Speaker 4: you know what, I think it might have been her.

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Speaker 3: I tell everybody that. Yeah, I'm a little bit obsessed

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Speaker 3: with it. Actually like it.

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Speaker 5: I'm gonna try to be you know, I tell everybody.

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Speaker 5: I tell everybody that about it.

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Speaker 3: It's amazing. But that's not the only thing you.

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Speaker 5: Do life coach, healthy ways, all sorts of good stuff.

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Speaker 3: Oh we are we off that that's our fault.

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Speaker 5: Sorry, Sorry, we want to hear you go.

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Speaker 2: There's boy there, we're back.

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Speaker 1: Again.

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Speaker 3: It's now.

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Speaker 6: Yeah.

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Speaker 1: So, aside from the incredible products that you make with Freeminds,

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Speaker 1: thrive and I mean that's like an after that came

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Speaker 1: after some of the other.

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Speaker 2: Stuff that you've been doing.

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Speaker 7: Yeah. Yeah.

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Speaker 6: When I left my career and decided what am I

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Speaker 6: going to do with my life? Do I want to

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Speaker 6: spruce up the resume, go back into marketing and advertising

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Speaker 6: and all that kind of stuff, orre do I want

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Speaker 6: to do something new. I thought about all the people

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Speaker 6: in my life that quite frankly, made a lot of mistakes,

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Speaker 6: bad choices, things they regretted later, but things they had

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Speaker 6: full control over in the moment, and I said, there's

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Speaker 6: got to be a way to make a living just

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Speaker 6: helping people to be a little more in control of

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Speaker 6: the things they do. And what's interesting about it is

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Speaker 6: I started with adults, just helping adults kind of get

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Speaker 6: their minds straight. You know, we all have our things,

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Speaker 6: so if I can help you work through your thoughts, great.

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Speaker 6: So that's where the life coach came in. However, what

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Speaker 6: I found very quickly was a lot of adults were like, oh,

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Speaker 6: my kid could really use this. And that's when the

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Speaker 6: new avenue started developing, which was helping teenagers. Love that

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Speaker 6: so much? Idea, Yeah, I love it. I love it.

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Speaker 6: Rewarding time with these kids who aren't quite where we

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Speaker 6: are yet. They haven't made those mistakes yet, they're still

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Speaker 6: trying to figure things out. They're on the cusp of adulthood.

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Speaker 6: And so we started building out an education program and uh,

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Speaker 6: and and that's kind of what led us here and

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Speaker 6: now here we are and then you know health products

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Speaker 6: and when you're a are any of you guys entrepreneurs

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Speaker 6: outside of podcasting, okay, you tend to become a serial entrepreneur.

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Speaker 6: It's kind of hard. New ideas keep popping up. Of course,

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Speaker 6: you have to control what you film to run with

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Speaker 6: because you can't do everything. But still you're always like, ooh, this, oh.

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Speaker 3: Somebody, I want to do that. I want to come

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Speaker 3: up with something.

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Speaker 2: I just haven't figured it out yet.

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Speaker 5: But you know, you have the free like that beautiful

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Speaker 5: part of that is as much of the hard work

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Speaker 5: as it is and a lot of the burden and responsibility,

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Speaker 5: it's also the freedom of being able to.

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Speaker 3: Do what you want right and and take the risk

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Speaker 3: and the chance. And it's a beautiful thing.

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Speaker 5: And I loved how supportive of your wife was when

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Speaker 5: you came with this idea. And she's you know, partnered

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Speaker 5: with you to be the strong woman behind the man,

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Speaker 5: which is great.

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Speaker 6: Without her, without her saying take a chance and don't

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Speaker 6: make money for a little while, it never would have.

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Speaker 6: We love her with the business.

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Speaker 1: Yeah, it's tough, but well I do want to say,

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Speaker 1: I think that you should be I'm just going to

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Speaker 1: put my two cents, my entrepreneurial two cents. I think

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Speaker 1: your services are needed in the homeschool community. I think

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Speaker 1: if you haven't done that yet, it would be a

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Speaker 1: great place to connect in a book, right for the

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Speaker 1: co ops and things like that, because what a beautiful

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Speaker 1: thing to offer young folks and maybe help steer them

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Speaker 1: away because they don't always listen to their parents. To

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Speaker 1: that they start to turn a blind ear or a

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Speaker 1: deaf ear. But anyway, in that vein talking about where

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Speaker 1: we are today in education, technology and all of our institutions,

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Speaker 1: we wanted to talk with you today and get some

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Speaker 1: of your perspective on something that's looming and very present,

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Speaker 1: a very present danger.

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Speaker 2: I think AI.

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Speaker 3: I have a love hate for that.

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Speaker 6: All right, let me let me turn it around real

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Speaker 6: quick before I put my two cents in, Let's get

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Speaker 6: a baseline for what you guys think. What's your current

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Speaker 6: position on AI.

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Speaker 2: I Have you use it?

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Speaker 4: I've used it in a very limited way. I started

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Speaker 4: noticing it when I you know, when I'm googling stuff

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Speaker 4: and I start to see you know, you know, you

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Speaker 4: could ask more, You could do more. I haven't really

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Speaker 4: gotten deep into it yet because I'm a little bit

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Speaker 4: nervous about you know, about what I'm hearing and what

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Speaker 4: I'm seeing and how much does it really know? And

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Speaker 4: how much does it you know, how much can it

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Speaker 4: actually do? And does it have the ability to really

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Speaker 4: learn and take over for itself. I mean, like it'll more.

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Speaker 3: I wonder if you'll see that it does.

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Speaker 2: That's scary to me.

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Speaker 3: Oh, it's terrifying.

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Speaker 2: It's scary.

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Speaker 3: It's very scary to me. You weigh in first. Because

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Speaker 3: I have mixed feelings.

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Speaker 2: I'll quickly just say I use it.

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Speaker 1: Compared to many people who know how to wield it

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Speaker 1: in all its glory and terror, it.

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Speaker 3: Would be James up there.

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Speaker 1: I use it, and I used it in very limited

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Speaker 1: capacity to make basic things easier and quicker. But I

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Speaker 1: think it's a friend nfi. I think it is like

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Speaker 1: anything else, it has to be wielded, so it doesn't

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Speaker 1: wield us.

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Speaker 5: So here's the thing with that, all of us here,

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Speaker 5: I would think, Right, we went to how many of

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Speaker 5: us were in school in elementary school going through the

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Speaker 5: library index, Right, we had to learn things in an

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Speaker 5: antiquated matter.

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Speaker 3: We went through Yellow Pages.

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Speaker 5: We went through the library and write essays and really

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Speaker 5: read books and write script and cry writing your name

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Speaker 5: a thousand times.

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Speaker 3: So like, we went through all that already.

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Speaker 5: So when I use it now as a matter of convenience,

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Speaker 5: I don't think I'm dumping myself down me personally, I'm

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Speaker 5: terrified for the kids of the next generation because they

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Speaker 5: didn't do those learning those skills yet. And that absolutely

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Speaker 5: terrifies me for them, because I think when I have

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Speaker 5: the dumbest generation of kids out there, if they're only

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Speaker 5: going to use AI for their life.

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Speaker 3: Yeah, they're not.

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Speaker 4: They're not thinking, they're not using their own criticals.

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Speaker 3: We already have critical thinking skills. Bobby, go ahead, we'll hear. Yes,

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Speaker 3: I really want to.

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Speaker 6: We're on the same team. I mean, we all pretty

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Speaker 6: much are as taking a cautious approach, but a lot

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Speaker 6: of adults are jumping right in because look, we live

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Speaker 6: in a world where everybody wants the quick answer because

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Speaker 6: there's so much to do or expected to do, so.

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Speaker 2: Much produced, produced, produced, produce.

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Speaker 6: So we run to AI. We run to pharmaceutical pills

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Speaker 6: and drugs, we run to you know, before AI, it

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Speaker 6: was run to Google, it.

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Speaker 3: Was your quickest next, guilty, guilty, guilty before.

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Speaker 6: But now it's it's a little bit different, right, because,

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Speaker 6: as you pointed out, we had the foundation, We had

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Speaker 6: a whole childhood of having to figure out how to

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Speaker 6: think for ourselves. Who am I? Why do I think

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Speaker 6: the way I think?

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Speaker 5: We drank from a damn hose, Seriously, I played in dirt.

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Speaker 6: We had to figure it out. So we developed something

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Speaker 6: that these new generations of kids will be the first

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Speaker 6: generations in all of human history that will not know

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Speaker 6: how to think for themselves, how to come up with

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Speaker 6: their own conclusions, how to do the work to find

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Speaker 6: the right answer, not just an answer, because that's the problem, right,

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Speaker 6: It's not just a matter of getting an answer and

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Speaker 6: throwing it out. It's getting the right answer. Whether that's

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Speaker 6: a subjective thing or objective doesn't matter. It's getting the

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Speaker 6: right answer. The other thing is authenticity. Every one of

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Speaker 6: us has a voice. If I know you, any of

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Speaker 6: you well enough, and I see you speaking, and then

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Speaker 6: I see you writing, your writing reflects you. Now, everybody

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Speaker 6: who uses AI I would say that's a blanket statement.

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Speaker 6: It's damn near close to everybody. Nearly everybody who uses

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Speaker 6: AI I can tell right away you use AI.

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Speaker 7: From the word the way it's even if you try

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Speaker 7: to prompt it to speak in a unique kind of way,

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Speaker 7: you can still tell that there's a structure as a

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Speaker 7: formula to the way AI speak. So it is you

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Speaker 7: fused with AI, but more AI because many people wanting

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Speaker 7: to move to the next thing and be ultered.

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Speaker 6: Now you're a superhuman. It's like I could be ultra productive.

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Speaker 6: I could make a million more things than I could

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Speaker 6: have before. Yes, it took time before, but at least

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Speaker 6: what you put out you were proud of. It was

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Speaker 6: you reflected you.

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Speaker 5: It sounded like your own accountability.

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Speaker 8: Guys.

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Speaker 6: No, over half the Internet now is estimated to be

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Speaker 6: AI generated content. Over half. Can you guys tell me

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Speaker 6: what you think that means when somebody goes to do

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Speaker 6: research on anything.

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Speaker 4: Anymore, I'm thinking about that like college papers, high school papers,

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Speaker 4: things that kids have to do to put in the research.

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Speaker 1: For old even us trying to get to the bottom

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Speaker 1: or the truth.

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Speaker 9: Right.

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Speaker 3: Well, we've had it in the group chatter.

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Speaker 5: I mean, Lisa talked about this on the Morning Show

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Speaker 5: a few weeks ago. She had to like talk to

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Speaker 5: it three times. It like total the wrong information. She

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Speaker 5: was like, that's incorrect, and then it apologized to her

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Speaker 5: and it's like, you know, but there was a real

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Speaker 5: stagent that Arnie and I was talking to a few

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Speaker 5: days ago, and she said, there is a program so

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Speaker 5: these I didn't know this years ago. I guess it

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Speaker 5: was a program that teachers could see if you plagiarized,

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Speaker 5: like yeah, yes, yes, yeah, Now there's one that they

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Speaker 5: could tell.

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Speaker 3: It's AI.

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Speaker 5: I can tell right away because I learned early on

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Speaker 5: that when it does a lot of dashes and the

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Speaker 5: dash is very prominent, you know, when it's a AI dash.

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Speaker 5: When I do use AI, go in and edit all

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Speaker 5: those things, and I do change it to a little

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Speaker 5: bit more more my wording. I do use it now

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Speaker 5: because I do a million different things. But at the

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Speaker 5: same time, I don't encourage it like.

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Speaker 3: Younger you know, so younger kids.

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Speaker 1: So I think, you know, a reasonable question is, you know,

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Speaker 1: how do we safety or secure ourselves from becoming victims

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Speaker 1: really of AI and for ourselves in the next generation.

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Speaker 1: A ten seconds and now we have a few seconds.

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Speaker 1: I'm very pointed important questions.

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Speaker 6: Well, and I would love to I mean, this conversation

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Speaker 6: go for five hours, right, we could have a whole

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Speaker 6: round robin, but we will. I think the first thing

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Speaker 6: is making a conscious choice, choosing to stay human, meaning

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Speaker 6: I'm going to make most of my own stuff. It's

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Speaker 6: going to take longer, but it's going to sound like me.

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Speaker 6: It's going to take longer, but I'm going to be

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Speaker 6: proud of what I wrote. To take longer, but I'm

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Speaker 6: going to be sure it's right because I can give you, guys.

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Speaker 6: We won't do it now, but I can give you

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Speaker 6: numerous examples from the simplest things to the complicated things

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Speaker 6: where AI got it totally wrong. Now, for people who

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Speaker 6: start relying on it and treating it like a god,

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Speaker 6: like an expert, they're going to be basically copying and

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Speaker 6: pasting wrong information, spreading with the world and doing more damage.

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Speaker 6: And that compounds itself, so you know, and yeah, but

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Speaker 6: it starts there.

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Speaker 1: Hopefully we'll get back to this before the show is over,

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Speaker 1: but stay with us.

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Speaker 2: We'll be right back.

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Speaker 1: Welcome back to the Patriots Podcast. We just took a

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Speaker 1: break and we'll be coming back at the end of

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Speaker 1: the show to talk a little bit more touch a

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Speaker 1: little bit more on the AI conversation. But we do

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Speaker 1: have some other really amazing guests with us. Are they

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Speaker 1: here on zoom? We have Dana and Lauren Cavalier. They're

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Speaker 1: expected on any minute, So maybe what we'll do since

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Speaker 1: they're not quite on zoom yet, we can continue the

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Speaker 1: conversation a little bit on the AI.

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Speaker 5: I always I always get nervous. That's my that I

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Speaker 5: mess something up. I'm going to continue.

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Speaker 3: I'm going to make sure I didn't mess anything up here.

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Speaker 1: Okay, So we were really just saying, like, how do

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Speaker 1: we protect ourselves in humanity from AI while still using

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Speaker 1: it for the good that it can give, because there

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Speaker 1: is benefit to it, right, So we'd love to hear

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Speaker 1: your a little bit of your thoughts on that.

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Speaker 6: My personal opinion is for children, they shouldn't be anywhere

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Speaker 6: near it. You can start teaching them about it, but

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Speaker 6: you got to let them build out their own critical thinking,

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Speaker 6: their own independent mind. You got to let them work

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Speaker 6: out how to speak like themselves. And we don't need

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Speaker 6: averaged out, copy paste cookie cutter kids running around. It's

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Speaker 6: bad enough that many kids can form due to pressure

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Speaker 6: of wanting to be like everyone else, fit in and

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Speaker 6: all that. The last thing we need is then none

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Speaker 6: of them speaking and speaking to each other through a machine.

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Speaker 6: The machine is just speaking to itself, bouncing around between people.

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Speaker 2: That's creaty.

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Speaker 4: It's bad enough they sit in a car next to

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Speaker 4: each other and they're texting each other right exactly, they're

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Speaker 4: not even talking.

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Speaker 6: Well, now you've got people literally texting their significant others,

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Speaker 6: their bosses, and everyone else with AI messages. That's why

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Speaker 6: I boss, see what should I say back? Copy paste?

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Speaker 6: Here's what my boyfriend said. Analyze it and give me

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Speaker 6: a great message.

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Speaker 2: Copy paste.

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Speaker 6: This is Internet. There's all sorts of stories about this,

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Speaker 6: how people are doing this, and it's crazy. So but

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Speaker 6: what can you do if you're an adult, because I

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Speaker 6: would say, you know at some point you're gonna have

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Speaker 6: AI in your face. First of all, I think is

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Speaker 6: to remember it's one of many tools. You can't get

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Speaker 6: so absorbed in it because it's so quick and impressive

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Speaker 6: that you're like, I'm just gonna use it for everything.

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Speaker 6: You still have to balance out. I'm going to do

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Speaker 6: research by listening to some experts on YouTube. I'm going

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Speaker 6: to read a book about it. I'm going to go

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Speaker 6: search on Google. I'm going to talk to friends and family.

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Speaker 6: I'm going to call an expert. If I have an

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Speaker 6: electrical problem in my house, I'm not just going to

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Speaker 6: go based on what AI says. I watch some YouTube videos,

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Speaker 6: I'll read the comments, I'll call an electrician. Hey, buddy,

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Speaker 6: what do you think I should do? Then I'll make

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Speaker 6: the final decision. Everything should start and end with you.

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Speaker 6: With AI. Everything should start an end with you, And

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Speaker 6: you should remember it's one of many tools, right and

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Speaker 6: so my second tip is you start it, you finish it.

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Speaker 6: You create the idea, you write it all out, You

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Speaker 6: do as much of the work as you can up front.

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Speaker 6: Then you tap into AI as a middleman for some

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Speaker 6: brainstorming or to wrap up, clean it up, but then

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Speaker 6: you finish it. I shouldn't be able to tell you

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Speaker 6: used AI in the end when you post it. I

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Speaker 6: should never have known AI was involved when I tell

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Speaker 6: you that, not only can I see it, but I'm

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Speaker 6: sure you guys can recognize it. You're looking on the internet.

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Speaker 6: You can see the way a post is is laid

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Speaker 6: out or explained. You can see the videos, and you

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Speaker 6: can something's a little bit off about this.

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Speaker 4: I see it explaining. I see it explaining emails like

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Speaker 4: Gates summarizes emails and I'm.

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Speaker 3: Like, oh, but it gets it wrong.

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Speaker 6: Yeah, So I teach some classes on outschool right now.

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Speaker 6: We're going to be launching our own teen program directly

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Speaker 6: in February and on the outschool platform. Every time I'm

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Speaker 6: done with a class, Zoom summarizes the conversation when I

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Speaker 6: tell you how wrong it gets what we talked about.

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Speaker 6: It's embarrassing.

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Speaker 5: Now.

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Speaker 6: You could say, well, it'll get better, okay, but it's

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Speaker 6: not better now. So why does everyone all dug in

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Speaker 6: on it? I read it, and I have to I

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Speaker 6: have to highlight, delete, rewrite, the same.

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Speaker 1: Reason people love microwaves, quick and easy.

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Speaker 6: Quick and easy, quickly destroys your food.

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Speaker 1: Right, but it destroys the food.

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Speaker 2: It's the same. It's the same concept.

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Speaker 1: We're like this fast food, fast, fast, fast, easy, easy, easy.

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Speaker 4: Right and look yeah, yeah, and look at the garbage

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Speaker 4: in it just dropped up garbage in, garbage out, garbage.

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Speaker 6: And you said something before about how you know, can

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Speaker 6: it think for itself? It's a language learning model if

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Speaker 6: you just look into it, take a couple of minutes,

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Speaker 6: fifteen twenty minutes research language learning models how they work.

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Speaker 6: They're advanced, but it's not thinking for itself. It is

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Speaker 6: looking for patterns in the data it's been trained on.

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Speaker 6: That's human data. And then over time, through the generations

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Speaker 6: of it being trained, actually it gets trained more and

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Speaker 6: more on its own data. So it actually gets dumber

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Speaker 6: and dumber over time.

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Speaker 3: So, oh, that's grating.

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Speaker 6: So think about this for a second. Think about like,

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Speaker 6: think about a photocopier. You take the original picture, you

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Speaker 6: photo the second one looks.

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Speaker 1: A little off.

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Speaker 6: Colors aren't right, details are off, contrast is off. Run

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Speaker 6: it through again, Run it through again, run it through again.

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Speaker 6: Every time you do it, it gets worse and worse and

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Speaker 6: worse and worse. Well, if AI creates over half the

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Speaker 6: content on the Internet, and then they use all that content,

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Speaker 6: not knowing which one was created by people or AI,

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Speaker 6: and then they feed it back into AI, and then

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Speaker 6: AI gets trained on that and then feed it back,

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Speaker 6: it's now it diluted, average out. Diluted information actually gets

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Speaker 6: dumber and dumber. And I say dumber and dumber. It's

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Speaker 6: not quite literally dumb, but it actually gets less impressive information,

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Speaker 6: less complicated advanced ways of speaking and talking about things.

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Speaker 6: It starts missing certain points of views because it cuts

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Speaker 6: off the extremes and viewpoints. So if you want to

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Speaker 6: talk about vaccines to AI, it's already just how it's trained,

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Speaker 6: cutting off a lot of the end points of what

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Speaker 6: people think, averaging it out. And then as it does

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Speaker 6: that more and more and compounds it, it gets harder

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Speaker 6: and harder now for it to even know that there

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Speaker 6: are other points of view. So they got to go

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Speaker 6: in and they have to basically intercept it and retrain

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Speaker 6: it all the time. So it's not perfect. It constantly

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Speaker 6: requires human intervention to make it to keep the models right,

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Speaker 6: and it needs us because the less content we make

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Speaker 6: as people, the worse it gets because it understands us less.

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Speaker 6: It only understands its own made up interpretations of what

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Speaker 6: humans do more and more, which makes it delusional over time.

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Speaker 1: That's interesting scary, is well, it's scary when you think

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Speaker 1: about the fact that, you know, automation of major systems

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Speaker 1: is happening, right, so like computers are in charge of

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Speaker 1: grids and you know, and all kinds of industrialized structures

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Speaker 1: and structures. Yes, so what does that mean for you know,

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Speaker 1: the future? There if they dumbed down over time? I

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Speaker 1: have a friend who said, you know, we're going to

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Speaker 1: use it, and we're going to feed it what we want.

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Speaker 2: It to know, you have to just keep feeding it

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Speaker 2: the other things.

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Speaker 6: And I'm like, it doesn't.

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Speaker 10: Work like that.

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Speaker 2: Yeah, I don't know.

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Speaker 6: People seem to think it were like that, you're not.

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Speaker 6: This is the thing that gets me about these prompt

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Speaker 6: engineers and these AI experts, and I get it, and

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Speaker 6: we're all trying to figure it out, all right. So

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Speaker 6: this is not a criticism, but we all got to

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Speaker 6: be honest with each other or this conversation is going

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Speaker 6: to lead us to a world we don't want. Like,

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Speaker 6: are we happy with this world?

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Speaker 10: Guys?

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Speaker 6: You're happy with the way it's going? How do we

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Speaker 6: all feel about it?

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Speaker 9: You?

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Speaker 6: Everybody out there? The way it's going? Is this the

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Speaker 6: future you wanted? The future where humans are not involved

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Speaker 6: at all, machines just do everything. So the problem is

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Speaker 6: we're at the beginning of that process. What are we

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Speaker 6: going to do about it? It's like when you have

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Speaker 6: a program that you tell it exactly what to do,

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Speaker 6: If this, then that, if this, then that. That's one

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Speaker 6: thing is it's humans still in charge of every But

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Speaker 6: when you have something like AI that tries to interpret

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Speaker 6: a lot, it's not actually creative, it's not actually thinking,

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Speaker 6: but it does have a lot of open room for

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Speaker 6: interpreting things, and humans have to stay involved. And that's

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Speaker 6: why it's such a big industry. You see how much

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Speaker 6: money they're spending in this area and.

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Speaker 1: The amount of energy that requires energy, the energy, the

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Speaker 1: energy from the world.

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Speaker 6: Farms being bought to put solar panels down to feed

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Speaker 6: these data centers.

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00:19:02,720 --> 00:19:05,360
Speaker 1: But then we'll eat you know, lab grown meat, three

443
00:19:05,440 --> 00:19:07,880
Speaker 1: D printed meat, or eat a cow they put off

444
00:19:07,920 --> 00:19:08,679
Speaker 1: too much methane.

445
00:19:08,680 --> 00:19:09,680
Speaker 2: But anyway, I digress.

446
00:19:11,560 --> 00:19:14,840
Speaker 1: So the thing I was thinking about before was recursive

447
00:19:14,920 --> 00:19:20,560
Speaker 1: self improvement, which is the terminology for when AI starts

448
00:19:21,080 --> 00:19:27,480
Speaker 1: training itself without human intervention. It starts learning from They say,

449
00:19:27,520 --> 00:19:30,280
Speaker 1: it hasn't actually happened yet, but it's a concern that

450
00:19:30,359 --> 00:19:30,720
Speaker 1: it will.

451
00:19:31,200 --> 00:19:33,120
Speaker 2: And then where is it going from there?

452
00:19:33,160 --> 00:19:38,119
Speaker 1: Because that's without human input and interaction or oversight.

453
00:19:38,640 --> 00:19:41,639
Speaker 6: It doesn't train itself forever, like take a chatbot for instance,

454
00:19:41,720 --> 00:19:44,399
Speaker 6: or an image generator. It doesn't train itself forever and

455
00:19:44,440 --> 00:19:45,760
Speaker 6: ever and ever, And people are like, oh my god,

456
00:19:45,760 --> 00:19:49,080
Speaker 6: what's happening. They're constantly going in and kind of pausing

457
00:19:49,119 --> 00:19:52,080
Speaker 6: that version retraining, putting it back out. But every time

458
00:19:52,080 --> 00:19:53,840
Speaker 6: they retrain, one of the ways they try to get

459
00:19:53,840 --> 00:19:59,199
Speaker 6: it to stay seene and put out quality content is

460
00:19:59,240 --> 00:20:01,879
Speaker 6: they have to re it with human stuff again. So

461
00:20:02,280 --> 00:20:04,800
Speaker 6: some of these companies, even Xai, if you use grock

462
00:20:05,240 --> 00:20:08,280
Speaker 6: and you ask it about this very question we're talking about,

463
00:20:08,480 --> 00:20:12,480
Speaker 6: it tells you that that Xai, the company behind grock,

464
00:20:13,000 --> 00:20:18,560
Speaker 6: is actively collecting human books, human resources, human information in

465
00:20:18,680 --> 00:20:22,879
Speaker 6: order to create a foundation like a heart and soul

466
00:20:23,000 --> 00:20:27,000
Speaker 6: for AI to not get too crazy, meaning always always

467
00:20:27,080 --> 00:20:29,800
Speaker 6: hook back to the human stuff. Don't get so crazy

468
00:20:29,840 --> 00:20:32,480
Speaker 6: in your own warped AI mind that you start creating

469
00:20:32,520 --> 00:20:34,840
Speaker 6: delusions and get lost in your own.

470
00:20:34,840 --> 00:20:36,000
Speaker 2: It's like a movie. Do you believe?

471
00:20:36,200 --> 00:20:36,720
Speaker 4: What do we doing?

472
00:20:36,920 --> 00:20:40,879
Speaker 6: I know it's why we follow to produce more. Have

473
00:20:40,920 --> 00:20:43,440
Speaker 6: your essay written, or without doing any work, write a

474
00:20:43,520 --> 00:20:48,320
Speaker 6: quick social media post. My question is is it worth it?

475
00:20:48,400 --> 00:20:48,800
Speaker 1: That's all?

476
00:20:48,880 --> 00:20:49,240
Speaker 2: That's all?

477
00:20:49,680 --> 00:20:49,879
Speaker 8: Is this?

478
00:20:50,160 --> 00:20:50,679
Speaker 2: Is it worth it?

479
00:20:50,720 --> 00:20:52,359
Speaker 6: Is this the world you want? And if it's not,

480
00:20:52,760 --> 00:20:54,639
Speaker 6: don't buy into this idea that oh, but it's going

481
00:20:54,720 --> 00:20:57,280
Speaker 6: to happen anyway. The future hasn't happened yet.

482
00:20:57,280 --> 00:20:58,040
Speaker 3: What are you talking about?

483
00:20:58,440 --> 00:21:00,399
Speaker 6: What's going to happen is what we're going to let happened,

484
00:21:00,880 --> 00:21:02,240
Speaker 6: but they're pushing it. If they want to push it,

485
00:21:02,240 --> 00:21:05,119
Speaker 6: it's gonna happen. Well, first of all, that's a terrifyingly

486
00:21:06,440 --> 00:21:08,919
Speaker 6: awful way to think, just to think that. Oh so

487
00:21:08,960 --> 00:21:10,040
Speaker 6: if they do it, we got to deal with it.

488
00:21:10,040 --> 00:21:11,440
Speaker 6: So then what's the point of trying to do anything

489
00:21:11,480 --> 00:21:13,480
Speaker 6: anything right? If I want a different world, if you

490
00:21:13,520 --> 00:21:15,720
Speaker 6: guys want a different world, we have to make choices.

491
00:21:16,400 --> 00:21:18,359
Speaker 6: We have to do what we think is right. And

492
00:21:18,359 --> 00:21:20,320
Speaker 6: if we think AI is leading to a world that

493
00:21:20,320 --> 00:21:22,280
Speaker 6: we quite frankly don't want, do you want to be

494
00:21:22,359 --> 00:21:26,199
Speaker 6: judged by an AI police officer someday or human police officer? Now,

495
00:21:26,240 --> 00:21:29,159
Speaker 6: humans make mistakes, but humans have a soul. Yes, and

496
00:21:29,240 --> 00:21:33,480
Speaker 6: ANTI gets screwy, misjudges the situation and humans do it too.

497
00:21:33,560 --> 00:21:35,280
Speaker 6: But I'm going to take my I'm gonna take my

498
00:21:35,359 --> 00:21:35,720
Speaker 6: chances with.

499
00:21:35,720 --> 00:21:37,800
Speaker 3: That frightening, frightening story frightening.

500
00:21:37,840 --> 00:21:40,640
Speaker 1: Well, I think great examples right now that we can all.

501
00:21:41,200 --> 00:21:43,919
Speaker 1: I can't imagine anyone that can identify with this or

502
00:21:44,359 --> 00:21:47,040
Speaker 1: has experience has not experienced this. Is you know, you

503
00:21:47,160 --> 00:21:50,119
Speaker 1: try to get through to a customer service agent for

504
00:21:50,240 --> 00:21:54,320
Speaker 1: some issue or problem you're having and it's constantly automated,

505
00:21:54,480 --> 00:21:56,679
Speaker 1: and it's so hard to get to a person and

506
00:21:56,720 --> 00:22:00,480
Speaker 1: they can't solve your problem. You need a person. And

507
00:22:00,520 --> 00:22:02,440
Speaker 1: then when you do eventually get to a person, they're

508
00:22:02,480 --> 00:22:06,000
Speaker 1: reading a script. They might not be speaking English most likely,

509
00:22:06,760 --> 00:22:10,600
Speaker 1: or they're reading some AI generated scripts. They have nothing

510
00:22:10,640 --> 00:22:12,960
Speaker 1: that they can do beyond what the robot could have done,

511
00:22:12,960 --> 00:22:14,120
Speaker 1: but there at least a voice.

512
00:22:14,359 --> 00:22:15,720
Speaker 2: It's so frustrating.

513
00:22:16,200 --> 00:22:20,240
Speaker 1: We need people to be managing and running and caring.

514
00:22:20,480 --> 00:22:22,800
Speaker 1: Nothing will ever take the place of a human being. Nothing.

515
00:22:23,240 --> 00:22:25,720
Speaker 1: And to me, this feels like a sort of a

516
00:22:25,760 --> 00:22:28,840
Speaker 1: Tower of Babel, like this great tower.

517
00:22:28,680 --> 00:22:33,879
Speaker 2: Of you know, to worship of knowledge and ease for all,

518
00:22:34,359 --> 00:22:37,640
Speaker 2: and it's destroying us. It's got Can.

519
00:22:37,480 --> 00:22:40,160
Speaker 6: You see a day where they will I mean, let's

520
00:22:40,160 --> 00:22:42,399
Speaker 6: think ahead, right, This isn't being crazy guys, those of

521
00:22:42,480 --> 00:22:44,399
Speaker 6: you out there going they're just afraid. They're just I'm

522
00:22:44,440 --> 00:22:46,200
Speaker 6: a tech guy my whole life. I'm not afraid of anything.

523
00:22:46,520 --> 00:22:49,000
Speaker 6: I'm evaluating. I'm looking around the bin. Let me ask

524
00:22:49,040 --> 00:22:51,240
Speaker 6: you as a question, do you think someday they will

525
00:22:51,280 --> 00:22:55,320
Speaker 6: try to convince people that AI is God? Yes, he

526
00:22:55,480 --> 00:22:59,480
Speaker 6: knows so much. What does that mean? Who's the God,

527
00:22:59,520 --> 00:23:02,480
Speaker 6: the engine years behind the company behind.

528
00:23:02,200 --> 00:23:02,840
Speaker 3: Me, horrifying.

529
00:23:03,000 --> 00:23:05,000
Speaker 1: Oh yeah, yeah, the people direct, that's.

530
00:23:04,840 --> 00:23:07,000
Speaker 6: Where it leads inevitably, and anyone who can't see that,

531
00:23:07,040 --> 00:23:09,520
Speaker 6: quite frankly, shouldn't be listened to or taken seriously. Well,

532
00:23:09,560 --> 00:23:10,960
Speaker 6: I know there's people on the other end of the

533
00:23:10,960 --> 00:23:13,720
Speaker 6: camera going he just doesn't understand. Let's talk about it

534
00:23:13,720 --> 00:23:16,040
Speaker 6: for five hours and though we got to go get

535
00:23:16,080 --> 00:23:16,840
Speaker 6: where this is going.

536
00:23:16,840 --> 00:23:18,000
Speaker 1: We got to get to commercials.

537
00:23:18,000 --> 00:23:20,159
Speaker 2: Sorry, Bobby, Yeah, you know you're one hundred percent right.

538
00:23:20,160 --> 00:23:21,840
Speaker 2: But we'll be right back. Stay with us. We'll have

539
00:23:21,880 --> 00:23:22,560
Speaker 2: some more guests.

540
00:23:22,880 --> 00:23:23,600
Speaker 4: Can we have house?

541
00:23:23,720 --> 00:23:24,680
Speaker 3: Oh we need house? Sound?

542
00:23:24,880 --> 00:23:30,920
Speaker 1: Yeah, Welcome back back Patriots Podcast. We have a wonderful,

543
00:23:30,960 --> 00:23:34,680
Speaker 1: beautiful guest, our second time having her on, Natasha Owens.

544
00:23:35,119 --> 00:23:39,000
Speaker 1: Welcome back with us, Natasha Light, welcome me.

545
00:23:40,240 --> 00:23:41,440
Speaker 3: Hear a new song playing?

546
00:23:41,800 --> 00:23:43,679
Speaker 1: Yeah what are we hearing? Natasha?

547
00:23:44,840 --> 00:23:47,480
Speaker 9: Well, it's called climate Change is Real. We had to

548
00:23:47,680 --> 00:23:52,199
Speaker 9: re package it and reintroduce it because the climate people

549
00:23:52,320 --> 00:23:56,160
Speaker 9: pro climate were thanking me and our side was wondering

550
00:23:56,200 --> 00:23:57,359
Speaker 9: what the heck guy was doing.

551
00:23:58,040 --> 00:23:59,000
Speaker 8: It's calling out.

552
00:23:58,840 --> 00:24:02,640
Speaker 9: The billionaires who are on this climate journey, and they're

553
00:24:02,680 --> 00:24:05,440
Speaker 9: so hypocritical they want to zip around in their jets

554
00:24:05,480 --> 00:24:08,080
Speaker 9: book while all the while making us go out of

555
00:24:08,080 --> 00:24:08,920
Speaker 9: paper straws.

556
00:24:09,359 --> 00:24:11,320
Speaker 8: So we thought we would put a spotlight to.

557
00:24:11,320 --> 00:24:15,080
Speaker 9: This topic and did a song called climate change is

558
00:24:15,119 --> 00:24:15,880
Speaker 9: Real Stupid.

559
00:24:16,440 --> 00:24:16,959
Speaker 3: I love that.

560
00:24:17,000 --> 00:24:19,800
Speaker 5: Hey, guys, while Natasha's talking, can you just put her

561
00:24:19,800 --> 00:24:21,960
Speaker 5: two assets up while she's chatting with us? I want

562
00:24:21,960 --> 00:24:25,000
Speaker 5: people to see her website and her new song link.

563
00:24:25,400 --> 00:24:26,000
Speaker 2: Yeah.

564
00:24:26,119 --> 00:24:28,640
Speaker 1: Well, I love the rebranding of the song. It's such

565
00:24:28,640 --> 00:24:33,800
Speaker 1: a un say on the words. But for those who

566
00:24:33,840 --> 00:24:36,919
Speaker 1: don't know, Natasha is a singer songwriter. She came on

567
00:24:36,960 --> 00:24:40,159
Speaker 1: the Christian music scene in about twenty thirteen and she

568
00:24:40,800 --> 00:24:44,200
Speaker 1: really hit the scene heavy when she wrote the song

569
00:24:44,280 --> 00:24:47,080
Speaker 1: Trump one and it received over one hundred million social

570
00:24:47,160 --> 00:24:47,920
Speaker 1: media views.

571
00:24:48,000 --> 00:24:50,400
Speaker 4: Such a great song, oh so fun, such a great

572
00:24:50,400 --> 00:24:51,080
Speaker 4: song it is.

573
00:24:51,119 --> 00:24:52,840
Speaker 1: We've all enjoyed dancing around.

574
00:24:53,000 --> 00:24:54,960
Speaker 5: Oh my god, my kids, I will. I know we

575
00:24:55,040 --> 00:24:57,160
Speaker 5: all sang it for a while for a long time.

576
00:24:57,160 --> 00:25:00,000
Speaker 3: It was great. Yes, yeah, good stuff.

577
00:25:00,440 --> 00:25:03,280
Speaker 1: So Natasha tell us, like how you get inspired to

578
00:25:03,400 --> 00:25:06,159
Speaker 1: pick your songs and you know what your process is

579
00:25:06,200 --> 00:25:07,440
Speaker 1: in the songwriting journey.

580
00:25:08,280 --> 00:25:11,520
Speaker 9: We democrats give us so much material that I thought

581
00:25:11,600 --> 00:25:13,199
Speaker 9: to Shaddy.

582
00:25:12,600 --> 00:25:14,840
Speaker 8: I go from one idea to the next.

583
00:25:14,960 --> 00:25:18,800
Speaker 9: Our list just keeps growing, and sometimes we're halfway through

584
00:25:18,800 --> 00:25:22,600
Speaker 9: an idea and we pivot something very quickly. You know,

585
00:25:22,640 --> 00:25:25,760
Speaker 9: I was in the Christian world and decided to do

586
00:25:25,800 --> 00:25:28,320
Speaker 9: a pro life song, got kicked out of Contemporary Christian

587
00:25:28,480 --> 00:25:31,720
Speaker 9: or boycotted for that. So we are hitting topics that

588
00:25:32,320 --> 00:25:35,680
Speaker 9: need truth right, that we need to speak truth, controversial

589
00:25:35,720 --> 00:25:36,359
Speaker 9: topics we're.

590
00:25:36,240 --> 00:25:37,119
Speaker 8: Not allowed to talk about.

591
00:25:37,160 --> 00:25:38,840
Speaker 9: Let me give you a song so that you can

592
00:25:38,880 --> 00:25:40,080
Speaker 9: sing about it.

593
00:25:40,160 --> 00:25:40,679
Speaker 5: And so.

594
00:25:42,240 --> 00:25:45,720
Speaker 9: The process has been very hard because for a Christian writer,

595
00:25:45,960 --> 00:25:48,679
Speaker 9: we can write five Christian songs or worship songs in

596
00:25:48,680 --> 00:25:51,639
Speaker 9: a day, but when it comes to these social topics,

597
00:25:51,760 --> 00:25:55,240
Speaker 9: political topics, we want them to be very clever, and

598
00:25:55,440 --> 00:25:58,800
Speaker 9: that takes forever, sometimes six months to write a song

599
00:25:58,880 --> 00:26:01,760
Speaker 9: because one wrong we're makes it very cheesy and it

600
00:26:01,840 --> 00:26:04,760
Speaker 9: makes it a parody song, and we don't want that.

601
00:26:04,840 --> 00:26:07,200
Speaker 9: Hopefully you can see in our.

602
00:26:07,200 --> 00:26:09,800
Speaker 8: Songs that they're not cheesy. I think they're very clever.

603
00:26:10,119 --> 00:26:12,960
Speaker 2: I love that they are clever, including the names.

604
00:26:13,119 --> 00:26:14,200
Speaker 3: Oh my god, I love them.

605
00:26:14,280 --> 00:26:16,640
Speaker 2: Yeah, so much fun, so much fun.

606
00:26:16,680 --> 00:26:19,960
Speaker 1: So since your newest release, how has that been met

607
00:26:20,000 --> 00:26:22,400
Speaker 1: and what's been happening? Well, we have to.

608
00:26:22,359 --> 00:26:24,160
Speaker 8: Release our songs with press releases.

609
00:26:24,200 --> 00:26:26,760
Speaker 9: We have no other help than that, and it got

610
00:26:26,800 --> 00:26:28,919
Speaker 9: lost in the press for the first month or so.

611
00:26:29,280 --> 00:26:31,560
Speaker 9: But Bill Gates came out a couple of weeks ago

612
00:26:32,080 --> 00:26:36,000
Speaker 9: and did a reversal in his position and saying, hey, guys,

613
00:26:36,280 --> 00:26:36,679
Speaker 9: guess what.

614
00:26:37,160 --> 00:26:39,120
Speaker 8: The world is not coming to an end.

615
00:26:39,600 --> 00:26:43,520
Speaker 9: And when that happened, the media remembered my song and

616
00:26:43,640 --> 00:26:45,480
Speaker 9: it surged to number one.

617
00:26:48,800 --> 00:26:52,800
Speaker 8: We're going to have another award winning song with this one.

618
00:26:52,960 --> 00:26:53,159
Speaker 8: You know.

619
00:26:53,200 --> 00:26:56,240
Speaker 9: I wanted to put a spotlight because Americans don't realize

620
00:26:56,280 --> 00:26:58,480
Speaker 9: how much of a threat that we are with this

621
00:26:58,520 --> 00:27:02,640
Speaker 9: great Reset and thirty agenda that the UN, the World

622
00:27:02,680 --> 00:27:06,639
Speaker 9: Economic Forum, and leaders around the world, including our.

623
00:27:06,520 --> 00:27:08,520
Speaker 8: Own, are pushing.

624
00:27:08,920 --> 00:27:13,680
Speaker 9: It is a tyrants dream, this climate agenda, because it's

625
00:27:13,720 --> 00:27:17,880
Speaker 9: the only thing that can really take away your movements

626
00:27:18,280 --> 00:27:22,240
Speaker 9: and take away your freedom, take away your property, and tax.

627
00:27:22,000 --> 00:27:22,880
Speaker 8: You to death.

628
00:27:23,160 --> 00:27:25,800
Speaker 9: And I think you're seeing as President Trump got in

629
00:27:26,280 --> 00:27:29,920
Speaker 9: the world movement has really started putting it in high

630
00:27:30,000 --> 00:27:33,400
Speaker 9: gear and just start paying attention to it, because every

631
00:27:33,400 --> 00:27:35,880
Speaker 9: American needs to know what a threat that we have

632
00:27:36,440 --> 00:27:38,919
Speaker 9: between now and twenty thirty, and we need to be

633
00:27:38,960 --> 00:27:40,280
Speaker 9: fighting against it.

634
00:27:40,920 --> 00:27:42,440
Speaker 3: That's an easier yeah, for sure.

635
00:27:42,560 --> 00:27:44,960
Speaker 5: And I just want to say, like, you know, we're

636
00:27:44,960 --> 00:27:46,560
Speaker 5: in the same boat with you here at the warehouse

637
00:27:46,560 --> 00:27:48,960
Speaker 5: where you're you know, out there, you're making this great

638
00:27:49,040 --> 00:27:51,920
Speaker 5: music and you're not getting to the masses enough because

639
00:27:51,960 --> 00:27:53,720
Speaker 5: it keeps censoring us all. So you know what that's like,

640
00:27:53,760 --> 00:27:56,399
Speaker 5: because we're facing that too, and it's frustrating. But I

641
00:27:56,400 --> 00:27:58,840
Speaker 5: do want to say, really, from the bottom of my heart,

642
00:27:58,920 --> 00:28:03,159
Speaker 5: I'm proud whatever that's worth to you, you keep forging ahead,

643
00:28:03,160 --> 00:28:06,359
Speaker 5: regardless of the you know, the obstacles, regardless that they

644
00:28:06,359 --> 00:28:08,199
Speaker 5: want to censor us and cancel us. And that to

645
00:28:08,280 --> 00:28:10,439
Speaker 5: me is what a true patriot heart is. And I

646
00:28:10,680 --> 00:28:13,080
Speaker 5: you know, as a freedom fighter myself, I love that

647
00:28:13,240 --> 00:28:15,600
Speaker 5: you keep persevering. I love that we got to meet

648
00:28:15,600 --> 00:28:19,359
Speaker 5: with you. Will always highlight you here. In fact, I

649
00:28:19,400 --> 00:28:22,720
Speaker 5: was talking this to fun one today and there's a

650
00:28:22,760 --> 00:28:25,280
Speaker 5: good chance we might be seeing Natasha in person very soon.

651
00:28:25,359 --> 00:28:27,640
Speaker 3: We're we're trying to work out details and we're so excited.

652
00:28:27,680 --> 00:28:29,360
Speaker 2: So that's going to be that when that happens, it's

653
00:28:29,359 --> 00:28:29,960
Speaker 2: going to be great.

654
00:28:30,040 --> 00:28:32,000
Speaker 5: I want the audience to know look out very soon

655
00:28:32,040 --> 00:28:34,000
Speaker 5: because I think she's coming to the warehouse soon.

656
00:28:34,320 --> 00:28:35,680
Speaker 8: Yeah, we love that.

657
00:28:35,800 --> 00:28:38,480
Speaker 9: I cannot wait to get back up to Long Island

658
00:28:38,520 --> 00:28:41,360
Speaker 9: to see you guys, and thank you so much for

659
00:28:41,440 --> 00:28:44,160
Speaker 9: your words. You know, we get death threats, text oppression,

660
00:28:44,760 --> 00:28:46,200
Speaker 9: which is casting spells.

661
00:28:46,760 --> 00:28:50,160
Speaker 8: It is a we feel like a fish swimming upstream

662
00:28:50,200 --> 00:28:50,480
Speaker 8: a lot.

663
00:28:50,760 --> 00:28:53,680
Speaker 9: But when we hear that that that means more than

664
00:28:53,720 --> 00:28:58,280
Speaker 9: a normal compliment. It gives it gives me just strength

665
00:28:58,320 --> 00:28:58,960
Speaker 9: to keep going.

666
00:28:59,200 --> 00:29:01,720
Speaker 8: And that's amazing. All are doing the right thing.

667
00:29:02,320 --> 00:29:04,600
Speaker 9: I told my boys, My boys tried to get me

668
00:29:04,680 --> 00:29:07,040
Speaker 9: not to go down this route, and I said, I

669
00:29:07,080 --> 00:29:09,479
Speaker 9: can't look at you in the eye and my future

670
00:29:09,520 --> 00:29:12,240
Speaker 9: generations in the eye and tell you that I didn't

671
00:29:12,320 --> 00:29:14,760
Speaker 9: do everything that I could to help fight this and

672
00:29:14,800 --> 00:29:17,720
Speaker 9: bring awareness to what we're to what we're fighting exposing it.

673
00:29:17,880 --> 00:29:19,760
Speaker 9: So thank you for being in the fight with us.

674
00:29:19,920 --> 00:29:20,520
Speaker 3: Oh, thank you.

675
00:29:20,600 --> 00:29:22,760
Speaker 5: And we just all say covered in the armor of God, right,

676
00:29:22,800 --> 00:29:25,760
Speaker 5: and we we keep forging ahead. He was not that

677
00:29:25,800 --> 00:29:28,840
Speaker 5: we're any ever, meaning that we're like him, but symbolically

678
00:29:29,600 --> 00:29:32,960
Speaker 5: the righteous people get persecuted, and that's how you know

679
00:29:33,000 --> 00:29:33,760
Speaker 5: you're doing the right thing.

680
00:29:33,880 --> 00:29:34,080
Speaker 11: Yeah.

681
00:29:34,560 --> 00:29:36,880
Speaker 3: So it's beautiful to watch, it is.

682
00:29:36,880 --> 00:29:39,680
Speaker 4: And it's tiring it's not it's not all you know,

683
00:29:40,000 --> 00:29:43,440
Speaker 4: it's not roses and rainbows, it's it's exhausting.

684
00:29:43,480 --> 00:29:45,720
Speaker 1: It is it's a fight can be I'm sending up

685
00:29:45,760 --> 00:29:46,160
Speaker 1: for truth.

686
00:29:46,240 --> 00:29:48,000
Speaker 8: We live in a world today that doesn't want to

687
00:29:48,000 --> 00:29:48,560
Speaker 8: hear truth.

688
00:29:48,600 --> 00:29:51,080
Speaker 9: It's hard for them to hear it, and then the

689
00:29:51,080 --> 00:29:53,000
Speaker 9: people who are trying to hide it doesn't want us

690
00:29:53,040 --> 00:29:53,800
Speaker 9: to talk about it.

691
00:29:54,120 --> 00:29:55,480
Speaker 8: So it's not only a.

692
00:29:55,360 --> 00:29:58,040
Speaker 9: Physical battle in the world that we live in, but

693
00:29:58,080 --> 00:30:00,760
Speaker 9: it's a spiritual battle too, because this is a battle

694
00:30:00,800 --> 00:30:03,920
Speaker 9: between good and evil, and the Church needs to realize

695
00:30:03,960 --> 00:30:06,400
Speaker 9: that and start standing up and pushing back against this

696
00:30:06,800 --> 00:30:07,840
Speaker 9: satanic agenda.

697
00:30:08,520 --> 00:30:12,360
Speaker 1: With that statement, I would just like to return to

698
00:30:12,400 --> 00:30:14,000
Speaker 1: what you said a few minutes ago about how when

699
00:30:14,040 --> 00:30:16,680
Speaker 1: you first came on the Christian music scene and you

700
00:30:16,720 --> 00:30:19,200
Speaker 1: were doing great and then you got shunned by the

701
00:30:19,280 --> 00:30:23,000
Speaker 1: Christian music industry for having a pro life two pro

702
00:30:23,080 --> 00:30:26,080
Speaker 1: life song, and I don't know if you want to

703
00:30:26,120 --> 00:30:28,840
Speaker 1: share any more about that. Was it the record label,

704
00:30:29,000 --> 00:30:31,760
Speaker 1: was it just the industry in general? Because I think

705
00:30:31,840 --> 00:30:36,520
Speaker 1: also Christians across the country and world should know what

706
00:30:36,640 --> 00:30:40,880
Speaker 1: they're supporting and what they're not supporting, or maybe what

707
00:30:40,920 --> 00:30:43,200
Speaker 1: they don't want to support. So can you tell us

708
00:30:43,200 --> 00:30:43,920
Speaker 1: a little bit more.

709
00:30:43,760 --> 00:30:45,240
Speaker 8: About that industry itself.

710
00:30:45,680 --> 00:30:48,440
Speaker 9: Nashville is very progressive, more so in the Christian than

711
00:30:48,440 --> 00:30:52,320
Speaker 9: the country genre. I think when Spotify and all the

712
00:30:52,360 --> 00:30:55,040
Speaker 9: streaming came in, the money went down to nothing.

713
00:30:55,200 --> 00:30:57,120
Speaker 8: I mean that they Apple music.

714
00:30:57,200 --> 00:31:03,000
Speaker 9: Spotify really raped the the songwriter and it's an injustice,

715
00:31:03,320 --> 00:31:06,040
Speaker 9: and so there wasn't a lot of money. They hired

716
00:31:06,040 --> 00:31:09,640
Speaker 9: big execs from New York and from California and the

717
00:31:09,680 --> 00:31:13,440
Speaker 9: secular markets to come in and that's when everything changed

718
00:31:13,480 --> 00:31:16,720
Speaker 9: in the Christian market. It became just like a pop

719
00:31:16,760 --> 00:31:20,760
Speaker 9: in a rock world and with the same type agendas, sleeping.

720
00:31:20,360 --> 00:31:21,200
Speaker 8: Your way to the top.

721
00:31:21,480 --> 00:31:24,480
Speaker 9: All of that horrible stuff is in the Christian music

722
00:31:24,600 --> 00:31:26,920
Speaker 9: and the artists themselves are a product of their.

723
00:31:26,840 --> 00:31:27,960
Speaker 8: Environment in Nashville.

724
00:31:27,960 --> 00:31:31,120
Speaker 9: I live in Texas, Thank god, we are a free

725
00:31:31,160 --> 00:31:36,400
Speaker 9: country here compared to Nashville, and you know, Christian artists

726
00:31:36,440 --> 00:31:39,080
Speaker 9: aren't followed around by the pop ROPSI so they can

727
00:31:39,160 --> 00:31:42,120
Speaker 9: be something different on stage than what they really are

728
00:31:42,200 --> 00:31:45,360
Speaker 9: in real life. And I began to see this the

729
00:31:45,360 --> 00:31:47,040
Speaker 9: moment that I was on the road with some of

730
00:31:47,080 --> 00:31:50,560
Speaker 9: these artists, not realizing how corrupt it was until I

731
00:31:50,640 --> 00:31:53,640
Speaker 9: went against them. They did not like me doing a

732
00:31:53,640 --> 00:31:56,960
Speaker 9: patriotic album. That's what this whole thing started with. But

733
00:31:57,200 --> 00:32:00,440
Speaker 9: the radio is what is so contaminated. You've got some

734
00:32:00,480 --> 00:32:03,640
Speaker 9: great people on radio, but the radio promoters themselves, the

735
00:32:03,680 --> 00:32:07,920
Speaker 9: two main radio promoters in contemporary Christian one has trans children,

736
00:32:08,080 --> 00:32:10,480
Speaker 9: the other is a lesbian with a wife, and so

737
00:32:10,560 --> 00:32:15,200
Speaker 9: they want to stop anything that is to Jesus, anything

738
00:32:15,240 --> 00:32:18,920
Speaker 9: that's too conservative against how they believe. And so I

739
00:32:18,960 --> 00:32:22,520
Speaker 9: started getting boycotted by radio. That was the beginning, and

740
00:32:22,560 --> 00:32:26,040
Speaker 9: then promoters I became too controversial because of that, and

741
00:32:26,080 --> 00:32:29,280
Speaker 9: then artists saying we love you, we support you, we

742
00:32:29,320 --> 00:32:30,920
Speaker 9: can't have you on the road with us, we can't

743
00:32:30,920 --> 00:32:33,640
Speaker 9: be associated with you because you're too controversial.

744
00:32:33,800 --> 00:32:36,000
Speaker 8: So that's how it started.

745
00:32:36,120 --> 00:32:39,440
Speaker 9: And I was so upset getting fired off of women's events,

746
00:32:39,520 --> 00:32:42,680
Speaker 9: and my husband said, do you really want to stand

747
00:32:42,720 --> 00:32:44,880
Speaker 9: up for a genre that doesn't stand up for life?

748
00:32:44,880 --> 00:32:47,520
Speaker 8: And I said, you know what, You're right, because.

749
00:32:47,240 --> 00:32:49,520
Speaker 9: He'd been trying to get me to enter the political

750
00:32:49,560 --> 00:32:54,080
Speaker 9: arena forever and I said no, they hate Trump in Nashville,

751
00:32:54,680 --> 00:32:58,280
Speaker 9: but he spoke words of wisdom and I said, yep,

752
00:32:58,360 --> 00:33:01,520
Speaker 9: let's do it. And so I that's how I turned.

753
00:33:01,640 --> 00:33:04,920
Speaker 9: It took a stick of dynamite getting me out of

754
00:33:04,920 --> 00:33:08,240
Speaker 9: my conference zone to get me to be not afraid

755
00:33:08,400 --> 00:33:11,520
Speaker 9: and to term my husband was never afraid, but I was.

756
00:33:11,680 --> 00:33:12,720
Speaker 8: I knew what was coming.

757
00:33:13,320 --> 00:33:16,120
Speaker 9: And it's been the most rewarding thing I've ever done

758
00:33:16,200 --> 00:33:18,520
Speaker 9: doing music, but it's been the hardest thing I've ever

759
00:33:18,600 --> 00:33:22,320
Speaker 9: done too, So anyway, it's a different world for me.

760
00:33:22,360 --> 00:33:24,280
Speaker 9: I never thought it would be creating music that would

761
00:33:24,280 --> 00:33:26,320
Speaker 9: get me death threats, but that just tells me I'm

762
00:33:26,320 --> 00:33:27,720
Speaker 9: singing about the right things is.

763
00:33:27,720 --> 00:33:31,000
Speaker 5: Right well, and nothing worth having comes easy. That's how

764
00:33:31,040 --> 00:33:31,480
Speaker 5: it works.

765
00:33:31,680 --> 00:33:33,320
Speaker 1: So we'll have to go through that, but we are

766
00:33:33,360 --> 00:33:37,240
Speaker 1: glad you've persevered. And where's the best place for people

767
00:33:37,240 --> 00:33:40,600
Speaker 1: to listen to you that you are most rewarded directly?

768
00:33:41,720 --> 00:33:42,600
Speaker 8: It's iTunes.

769
00:33:42,800 --> 00:33:46,720
Speaker 9: Actually, iTunes is still available and we get the majority

770
00:33:47,240 --> 00:33:50,160
Speaker 9: of the money of that as a songwriter. It's the

771
00:33:50,280 --> 00:33:54,040
Speaker 9: streaming is where we get kind of skipped out of

772
00:33:54,040 --> 00:33:54,560
Speaker 9: the whole thing.

773
00:33:54,720 --> 00:33:56,960
Speaker 8: So you can physically buy my merch and.

774
00:33:57,640 --> 00:34:00,880
Speaker 9: Music on Natasha Owens music dot com, or you can

775
00:34:00,880 --> 00:34:03,280
Speaker 9: physically buy you You can buy it and download it

776
00:34:03,320 --> 00:34:08,439
Speaker 9: from iTunes or Amazon Music or wherever. If you purchase it,

777
00:34:08,960 --> 00:34:11,160
Speaker 9: then that's what helps, is stream it.

778
00:34:11,160 --> 00:34:11,800
Speaker 8: He doesn't.

779
00:34:11,920 --> 00:34:13,520
Speaker 9: But at the end of the day, I want you

780
00:34:13,560 --> 00:34:15,799
Speaker 9: to hear my music. And however you want to hear

781
00:34:15,840 --> 00:34:18,879
Speaker 9: the music, hear it. If it's streaming that you love,

782
00:34:19,280 --> 00:34:21,960
Speaker 9: go do it. Don't think twice about it. If it's

783
00:34:22,040 --> 00:34:24,279
Speaker 9: you really have a heart to help artists like me,

784
00:34:24,760 --> 00:34:25,880
Speaker 9: then that's in merch.

785
00:34:26,040 --> 00:34:28,520
Speaker 8: That's in getting me booked.

786
00:34:28,200 --> 00:34:31,000
Speaker 9: And on the road, you know, coming to a location,

787
00:34:31,280 --> 00:34:34,200
Speaker 9: and that is buying the music itself.

788
00:34:34,600 --> 00:34:36,719
Speaker 5: I love that. Well, I think the guys control them.

789
00:34:36,719 --> 00:34:38,840
Speaker 5: You're going to play us out with her song and

790
00:34:38,960 --> 00:34:41,040
Speaker 5: maybe the chorus and if you can put up in

791
00:34:41,120 --> 00:34:42,960
Speaker 5: Natasha Owens one again and I don't want to put

792
00:34:43,000 --> 00:34:44,960
Speaker 5: up the other graphic because that was going on YouTube

793
00:34:44,960 --> 00:34:47,200
Speaker 5: and we want iTunes, so I'm going to buy them tonight.

794
00:34:47,280 --> 00:34:48,640
Speaker 3: I want to support you.

795
00:34:48,640 --> 00:34:51,719
Speaker 8: YouTube is the funny is the funny videos? But you

796
00:34:51,760 --> 00:34:53,680
Speaker 8: can buy the video on iTunes.

797
00:34:53,280 --> 00:34:55,359
Speaker 3: Of course, Well I'm buying it on iTunes. I will

798
00:34:55,400 --> 00:34:57,080
Speaker 3: do that and we will thank you to the audience

799
00:34:57,120 --> 00:34:58,920
Speaker 3: to do the same. Yes we did, and it's the

800
00:34:59,080 --> 00:35:02,320
Speaker 3: twelve minutes one fan I said, thank you so much,

801
00:35:03,000 --> 00:35:04,240
Speaker 3: but we'll have you back again.

802
00:35:04,400 --> 00:35:05,840
Speaker 2: Yeah, thanks so much for being with us.

803
00:35:05,960 --> 00:35:09,600
Speaker 3: Natasha, We we'll see you soon. Our friends, thank you you.

804
00:35:11,440 --> 00:35:14,919
Speaker 1: Welcome back to the Patriots Podcast. And we have with

805
00:35:15,000 --> 00:35:20,360
Speaker 1: us Dana and Lauren Cavia Cavaliah sorry, from their husband

806
00:35:20,400 --> 00:35:22,880
Speaker 1: and wife team from Freedom Farms right here in the

807
00:35:22,960 --> 00:35:26,680
Speaker 1: state of New York or Pro America Direct to Consumer

808
00:35:26,760 --> 00:35:29,680
Speaker 1: Meat Company. We're so excited to have you folks with us.

809
00:35:29,719 --> 00:35:30,799
Speaker 1: Thank you for joining us.

810
00:35:30,920 --> 00:35:31,920
Speaker 3: Hi guys, welcome.

811
00:35:33,920 --> 00:35:35,560
Speaker 2: Sorry, we're jumping on a little late.

812
00:35:36,560 --> 00:35:37,120
Speaker 3: That's all right.

813
00:35:38,960 --> 00:35:41,200
Speaker 10: Always crazy up here. You never know what's gonna go

814
00:35:41,440 --> 00:35:42,359
Speaker 10: what's going to go on?

815
00:35:42,760 --> 00:35:44,920
Speaker 5: Hey, listen, we have a different kind of form down here.

816
00:35:44,920 --> 00:35:46,160
Speaker 5: You never know what's going to go on around here.

817
00:35:46,920 --> 00:35:48,920
Speaker 2: It's all good, a funny farm.

818
00:35:49,520 --> 00:35:51,319
Speaker 10: We're originally from Long Island, so.

819
00:35:51,320 --> 00:35:57,000
Speaker 5: We are you Yeah, yeah, Park County.

820
00:35:57,520 --> 00:36:00,120
Speaker 10: So we grew up in the Port jaf firsts in

821
00:36:00,239 --> 00:36:01,360
Speaker 10: Mount Sinai area.

822
00:36:01,600 --> 00:36:04,600
Speaker 1: Okay, nice, So tell us just give us a little

823
00:36:04,600 --> 00:36:06,960
Speaker 1: bit quickly of your backstory. How you came to do

824
00:36:07,040 --> 00:36:10,920
Speaker 1: what you're doing, live where you're living doing America First

825
00:36:10,920 --> 00:36:14,160
Speaker 1: Direct to Consumer Healthy Meat Company.

826
00:36:15,480 --> 00:36:20,680
Speaker 10: Yeah, well we didn't plan this, certainly. I was a

827
00:36:20,719 --> 00:36:24,240
Speaker 10: coach with the Yankees. Lord was working in Liberal news

828
00:36:24,280 --> 00:36:26,360
Speaker 10: for the ape for ABC.

829
00:36:28,000 --> 00:36:32,040
Speaker 11: Lauren Liberal and I had to be quiet to be quiet.

830
00:36:32,719 --> 00:36:35,560
Speaker 10: Yeah, so we basically we were actually living in Florida

831
00:36:35,560 --> 00:36:38,440
Speaker 10: when everyone else migrated from New York down there, uh,

832
00:36:39,040 --> 00:36:41,520
Speaker 10: you know, trying to avoid you know, COVID shots and

833
00:36:41,560 --> 00:36:44,840
Speaker 10: everything in between. So, you know, we had the summer

834
00:36:44,880 --> 00:36:47,640
Speaker 10: off and we ended up coming up to visit some

835
00:36:47,719 --> 00:36:49,759
Speaker 10: family on Long Island, and then we saw this real

836
00:36:49,880 --> 00:36:52,520
Speaker 10: estate opportunity when we just wanted to take a little

837
00:36:52,520 --> 00:36:55,719
Speaker 10: trip up Steam and I took a look at this

838
00:36:55,800 --> 00:37:00,200
Speaker 10: property and you know, we kind of fell in love

839
00:37:00,239 --> 00:37:01,640
Speaker 10: with it and we said, you know, we'll just use

840
00:37:01,680 --> 00:37:03,279
Speaker 10: it as a place to go in the summer to

841
00:37:03,480 --> 00:37:06,840
Speaker 10: escape the Florida heat. And after walking the property for

842
00:37:06,840 --> 00:37:09,359
Speaker 10: a little while, we said, all right, let's do it,

843
00:37:09,440 --> 00:37:11,239
Speaker 10: and we ended up doing it. And then our first

844
00:37:11,239 --> 00:37:13,040
Speaker 10: summer up here, we looked out and we said, you know,

845
00:37:13,200 --> 00:37:16,600
Speaker 10: what's a farm without any animals? So we know anything

846
00:37:16,640 --> 00:37:20,279
Speaker 10: about farming. We bought our first thirteen cows on Craigslist

847
00:37:20,320 --> 00:37:23,160
Speaker 10: because that's a place you can buy livestock, and then

848
00:37:23,719 --> 00:37:24,560
Speaker 10: we had no.

849
00:37:24,560 --> 00:37:25,399
Speaker 8: Idea what we were doing.

850
00:37:26,040 --> 00:37:26,239
Speaker 9: Yeah.

851
00:37:27,719 --> 00:37:30,200
Speaker 2: Wait, did you did you have a barn at least?

852
00:37:31,280 --> 00:37:32,080
Speaker 10: Yeah, we have a barn.

853
00:37:32,160 --> 00:37:33,600
Speaker 3: We have a big barn.

854
00:37:34,480 --> 00:37:36,680
Speaker 10: So we were thinking, okay, well maybe we'll throw weddings

855
00:37:36,680 --> 00:37:38,320
Speaker 10: in here and all that kind of stuff. But anyway,

856
00:37:38,320 --> 00:37:39,600
Speaker 10: now the barn it's filled.

857
00:37:39,600 --> 00:37:42,680
Speaker 12: But it's also like during COVID, and I thought it

858
00:37:42,680 --> 00:37:45,200
Speaker 12: would be good that, you know, we could raise our

859
00:37:45,200 --> 00:37:50,239
Speaker 12: own you know, food, have our place in the mountains.

860
00:37:49,719 --> 00:37:50,720
Speaker 8: Away from everything.

861
00:37:50,880 --> 00:37:51,799
Speaker 1: That would be a good thing.

862
00:37:53,440 --> 00:37:56,719
Speaker 11: And because I worked at the Liberal News and you know,

863
00:37:56,800 --> 00:37:59,040
Speaker 11: Dana and I were like, let's call it Freedom Farms,

864
00:37:59,040 --> 00:38:02,960
Speaker 11: a place that we could feel free doing have COVID,

865
00:38:03,719 --> 00:38:07,320
Speaker 11: and so like I took over. I started the Instagram,

866
00:38:07,360 --> 00:38:11,040
Speaker 11: he started a Facebook page, and I wanted a place

867
00:38:11,080 --> 00:38:13,680
Speaker 11: where I could finally let my hair down and say

868
00:38:13,680 --> 00:38:16,160
Speaker 11: how I really felt about what was going on in

869
00:38:16,200 --> 00:38:16,760
Speaker 11: the country.

870
00:38:17,880 --> 00:38:18,560
Speaker 8: And I didn't care.

871
00:38:18,640 --> 00:38:20,080
Speaker 2: I was like, you know what, I had to bite

872
00:38:20,080 --> 00:38:20,640
Speaker 2: my lip.

873
00:38:20,520 --> 00:38:21,240
Speaker 8: For so long.

874
00:38:21,760 --> 00:38:24,080
Speaker 12: You know, ABC News was great, but I had to,

875
00:38:24,120 --> 00:38:26,520
Speaker 12: you know, keep a lot of things to myself, which

876
00:38:27,000 --> 00:38:27,919
Speaker 12: you know, that's not right.

877
00:38:28,040 --> 00:38:30,600
Speaker 4: We have a voice too, we should be able to

878
00:38:30,640 --> 00:38:32,520
Speaker 4: speak our minds absolutely.

879
00:38:32,760 --> 00:38:35,080
Speaker 12: Like with Instagram, I'm like, I'm gonna go rogue. We're

880
00:38:35,120 --> 00:38:37,839
Speaker 12: gonna say how we feel. If people like it, great,

881
00:38:37,880 --> 00:38:38,640
Speaker 12: If they don't.

882
00:38:38,440 --> 00:38:39,200
Speaker 3: That's okay too.

883
00:38:39,960 --> 00:38:42,920
Speaker 8: But like I was sick of like always like liberals

884
00:38:42,920 --> 00:38:43,759
Speaker 8: were always.

885
00:38:43,520 --> 00:38:45,799
Speaker 2: So like you know, and it's they're right.

886
00:38:45,880 --> 00:38:51,279
Speaker 12: They're very passionate and vocal, but like we have to

887
00:38:51,320 --> 00:38:51,719
Speaker 12: be too.

888
00:38:52,480 --> 00:38:55,040
Speaker 2: So that's how Freedom Farms started.

889
00:38:55,040 --> 00:38:57,920
Speaker 12: And I think a lot of people they feel comfortable

890
00:38:58,160 --> 00:39:01,239
Speaker 12: like buying from us. And every year we throw a

891
00:39:01,280 --> 00:39:04,359
Speaker 12: big party called Freedom Fest where people from all over

892
00:39:04,480 --> 00:39:06,200
Speaker 12: come and they spend a day with us on a

893
00:39:06,200 --> 00:39:07,200
Speaker 12: pharm It's a big party.

894
00:39:09,360 --> 00:39:10,960
Speaker 3: Could we couldn't go this year?

895
00:39:11,000 --> 00:39:17,040
Speaker 5: It was going to be September thirteenth ring September.

896
00:39:17,080 --> 00:39:19,040
Speaker 3: Yeah, we will be the next year.

897
00:39:19,400 --> 00:39:22,040
Speaker 5: Called the warehouse and invited us. And that's how this

898
00:39:22,280 --> 00:39:24,600
Speaker 5: relationship started. Although I don't know if you guys realized,

899
00:39:24,640 --> 00:39:27,120
Speaker 5: but Joe the box here they did buy a like

900
00:39:27,280 --> 00:39:30,680
Speaker 5: a half a cow, his wife was telling me last

901
00:39:30,719 --> 00:39:31,840
Speaker 5: year with from of you guys.

902
00:39:32,400 --> 00:39:36,160
Speaker 3: I didn't realize that, Oh geez, yes, the owner of here.

903
00:39:35,960 --> 00:39:37,919
Speaker 5: Ordered from you guys, like a whole half a cow

904
00:39:38,000 --> 00:39:39,120
Speaker 5: or a whole cow or something.

905
00:39:39,640 --> 00:39:43,200
Speaker 10: Yeah, yeah, we appreciate it. So, yeah, it's a lot

906
00:39:43,200 --> 00:39:45,200
Speaker 10: of fun again. It was one of these journeys that

907
00:39:45,520 --> 00:39:47,160
Speaker 10: you know, life kind of takes you on and you

908
00:39:47,280 --> 00:39:49,480
Speaker 10: just go with it and before you know it. You know,

909
00:39:49,520 --> 00:39:52,879
Speaker 10: we started the model was you know, you know, we'll

910
00:39:52,920 --> 00:39:54,960
Speaker 10: sell some you know to some friends and family, and

911
00:39:55,000 --> 00:39:57,600
Speaker 10: then people started asking. And then you know, once you

912
00:39:57,640 --> 00:40:00,399
Speaker 10: know how it is, once one long islander get some.

913
00:40:00,360 --> 00:40:01,000
Speaker 6: Bight of it, they.

914
00:40:04,200 --> 00:40:04,520
Speaker 3: Spread.

915
00:40:04,560 --> 00:40:08,120
Speaker 10: So that's outspread and now you know, we've sent orders

916
00:40:08,160 --> 00:40:13,080
Speaker 10: to you know, Alaska, New Mexico, California, Colorado, to the US.

917
00:40:13,239 --> 00:40:17,279
Speaker 10: So it's a it's a very organic story, uh and

918
00:40:17,320 --> 00:40:20,160
Speaker 10: it's a very natural story and it's pretty cool. There's nothing,

919
00:40:20,160 --> 00:40:23,200
Speaker 10: I would say, there's nothing more American than beef, and

920
00:40:23,200 --> 00:40:25,640
Speaker 10: there's nothing more American than land and livestock.

921
00:40:25,800 --> 00:40:26,879
Speaker 2: So we're sort of.

922
00:40:26,880 --> 00:40:30,719
Speaker 10: Old school land barons that are, you know, doing it

923
00:40:30,719 --> 00:40:31,759
Speaker 10: in a new school way.

924
00:40:34,520 --> 00:40:37,680
Speaker 1: So tell us about the process there on your farm,

925
00:40:37,760 --> 00:40:41,360
Speaker 1: how you're different than other farms maybe that grow cattle

926
00:40:41,440 --> 00:40:45,279
Speaker 1: for slaughter, and how people can find you to order

927
00:40:45,320 --> 00:40:46,239
Speaker 1: this yummy meat.

928
00:40:47,280 --> 00:40:50,840
Speaker 10: Well, I think the biggest thing is we have a

929
00:40:50,920 --> 00:40:54,000
Speaker 10: show in alignment with our customers. So you know, again,

930
00:40:54,040 --> 00:40:56,000
Speaker 10: most of our customers, they come to us because they

931
00:40:56,000 --> 00:40:57,400
Speaker 10: believe in the same mission.

932
00:40:57,120 --> 00:40:57,600
Speaker 2: That we do.

933
00:40:57,680 --> 00:41:00,960
Speaker 10: It's a it's a very American mission, and we're all

934
00:41:02,320 --> 00:41:05,080
Speaker 10: we're all on that mission together. So that's our that's

935
00:41:05,120 --> 00:41:08,000
Speaker 10: our We know our customer base. They did not vote

936
00:41:08,000 --> 00:41:11,839
Speaker 10: for Mondami, they didn't Dividing or anyone else like that,

937
00:41:12,239 --> 00:41:15,000
Speaker 10: and that's our customer So and then from there, you know,

938
00:41:15,239 --> 00:41:19,319
Speaker 10: we you know, we do have a local element. We do, uh,

939
00:41:19,560 --> 00:41:22,640
Speaker 10: you know, have a very strong you know, family values.

940
00:41:23,160 --> 00:41:25,839
Speaker 10: Uh that we lead with old school values, old school

941
00:41:25,880 --> 00:41:29,680
Speaker 10: customer service and all that. So our differentiator is we'd

942
00:41:29,680 --> 00:41:34,080
Speaker 10: like to say that the taste profile is extremely different

943
00:41:34,120 --> 00:41:35,719
Speaker 10: than what you would get at the store or get

944
00:41:35,719 --> 00:41:37,960
Speaker 10: at your grocery store, and we send it right to

945
00:41:38,040 --> 00:41:40,439
Speaker 10: your house. So we bring you the beef, we bring

946
00:41:40,480 --> 00:41:43,040
Speaker 10: you the proteins. We also do pork, We also do chicken.

947
00:41:43,600 --> 00:41:45,400
Speaker 10: We have a fire drill going on right now with

948
00:41:45,440 --> 00:41:49,759
Speaker 10: Thanksgiving turkeys, and uh, we just try to have a

949
00:41:49,760 --> 00:41:50,719
Speaker 10: lot of fun while we do it.

950
00:41:51,040 --> 00:41:54,920
Speaker 1: And Norna vaccines right well, yeah, we bring that long

951
00:41:54,960 --> 00:41:56,719
Speaker 1: island hustle to upstate New York.

952
00:41:57,920 --> 00:41:59,680
Speaker 3: I always say New York has a special grit.

953
00:41:59,680 --> 00:42:01,480
Speaker 5: I say that a lot, right, I think New Yorkers

954
00:42:01,480 --> 00:42:04,759
Speaker 5: have a very special greadth that no one else has.

955
00:42:04,280 --> 00:42:07,960
Speaker 10: That's for sure. It's a misunderstood group when they leave

956
00:42:08,000 --> 00:42:11,799
Speaker 10: the state. And I even think even more so, like

957
00:42:11,840 --> 00:42:15,200
Speaker 10: when Long Islanders leave the island. It's like my friend says,

958
00:42:15,200 --> 00:42:17,680
Speaker 10: it's the equivalent of when people came to like Ellis Island.

959
00:42:17,680 --> 00:42:18,400
Speaker 2: It's that different.

960
00:42:18,440 --> 00:42:20,799
Speaker 5: Oh wow, I could believe that because when I went

961
00:42:20,800 --> 00:42:22,360
Speaker 5: to California and meet my sister in laws and I

962
00:42:22,400 --> 00:42:24,640
Speaker 5: love you if you're watching, I was like up ready

963
00:42:24,640 --> 00:42:26,239
Speaker 5: to roar, and everyone's like I'm like what I do

964
00:42:26,280 --> 00:42:27,200
Speaker 5: in a day takes them a week.

965
00:42:27,239 --> 00:42:32,759
Speaker 3: And I was like, people do oclock where I just

966
00:42:32,840 --> 00:42:33,320
Speaker 3: can't believe.

967
00:42:33,440 --> 00:42:35,880
Speaker 5: I mean, I'll probably die faster than that'd be of

968
00:42:35,920 --> 00:42:36,760
Speaker 5: a hard problem.

969
00:42:36,760 --> 00:42:38,000
Speaker 3: But it's wild.

970
00:42:38,040 --> 00:42:40,040
Speaker 5: But it's really cool that you made the leap to

971
00:42:40,080 --> 00:42:42,880
Speaker 5: come from you know, Long Island and go upstate.

972
00:42:42,920 --> 00:42:44,200
Speaker 3: It is it that is a big difference.

973
00:42:44,320 --> 00:42:46,200
Speaker 2: For sure, you're living your dream.

974
00:42:46,239 --> 00:42:48,359
Speaker 10: The only one in town that uses hair gel so.

975
00:42:49,520 --> 00:42:56,479
Speaker 3: Where Italian shirts. I love that. Yeah, that's so cool.

976
00:42:57,600 --> 00:42:58,680
Speaker 8: So it's it's.

977
00:42:58,520 --> 00:43:00,479
Speaker 10: Fun, you know, just being able to bring the gap.

978
00:43:00,520 --> 00:43:03,960
Speaker 10: And also you know, you can't forget agriculture is a

979
00:43:04,080 --> 00:43:07,640
Speaker 10: very old school thing, so you know, bringing a new

980
00:43:07,680 --> 00:43:11,040
Speaker 10: school mentality and bringing some spice and some flair and

981
00:43:11,600 --> 00:43:14,160
Speaker 10: you know, some modern day marketing to it.

982
00:43:13,960 --> 00:43:15,759
Speaker 3: Is a lot of fun. We love that.

983
00:43:15,960 --> 00:43:18,560
Speaker 4: What's your website so people can follow and and and

984
00:43:18,800 --> 00:43:20,759
Speaker 4: order for sure, as you control, we can bring that

985
00:43:20,840 --> 00:43:21,399
Speaker 4: up please too.

986
00:43:22,600 --> 00:43:27,200
Speaker 12: It's we are Freedom Farms dot com and uh we

987
00:43:27,239 --> 00:43:28,319
Speaker 12: ship nationwide.

988
00:43:29,040 --> 00:43:30,719
Speaker 8: We ship nationwide.

989
00:43:30,120 --> 00:43:32,120
Speaker 3: Now, so that's that's awesome.

990
00:43:33,239 --> 00:43:34,600
Speaker 8: Yeah, bring it right to your house.

991
00:43:34,600 --> 00:43:38,960
Speaker 10: But we still have a ton of customers there, you know,

992
00:43:39,000 --> 00:43:42,560
Speaker 10: the you know downstate as they stay as they say

993
00:43:42,640 --> 00:43:45,560
Speaker 10: up here, that's the majority of our customers. So we're

994
00:43:45,600 --> 00:43:51,960
Speaker 10: always driving the whole cows, corporate cows, small boxes of me.

995
00:43:52,160 --> 00:43:54,000
Speaker 10: We're always driving it tallo.

996
00:43:54,120 --> 00:43:57,640
Speaker 12: I heard someone talking about toot it.

997
00:43:59,640 --> 00:44:02,600
Speaker 10: Yeah, so the sue is the fat that the tallow comes.

998
00:44:03,040 --> 00:44:05,920
Speaker 10: So it's it's the wrong it's the raw material you

999
00:44:05,920 --> 00:44:06,920
Speaker 10: get to you know.

1000
00:44:06,880 --> 00:44:07,439
Speaker 8: Make your own.

1001
00:44:07,480 --> 00:44:10,279
Speaker 10: There's no odor to it. It's super clean, so you

1002
00:44:10,280 --> 00:44:12,000
Speaker 10: don't you know, you can bottle it yourself.

1003
00:44:12,520 --> 00:44:15,120
Speaker 5: I never thought I'd be putting beef on my face before,

1004
00:44:15,200 --> 00:44:17,160
Speaker 5: but it's all I use now. His stuff is incredible,

1005
00:44:17,360 --> 00:44:18,000
Speaker 5: that's all I use.

1006
00:44:18,120 --> 00:44:20,000
Speaker 6: Yeah, we'll definitely talk for sure.

1007
00:44:20,320 --> 00:44:23,400
Speaker 3: That's the good stuff. I'll connect to you magazines m.

1008
00:44:23,520 --> 00:44:27,000
Speaker 6: Hm yeah, sure, beautiful, Yeah, keep it clean. Right, that's

1009
00:44:27,000 --> 00:44:29,560
Speaker 6: it man, let's let's talk for sure. I checked out

1010
00:44:29,560 --> 00:44:32,680
Speaker 6: your social media before the show today and I saw

1011
00:44:32,719 --> 00:44:34,359
Speaker 6: you guys have a lot of fun over there doing

1012
00:44:34,400 --> 00:44:35,240
Speaker 6: the thriller dance?

1013
00:44:36,920 --> 00:44:37,560
Speaker 3: Is that her.

1014
00:44:40,640 --> 00:44:43,000
Speaker 2: A lot of heat recently from a lot of liberals?

1015
00:44:43,040 --> 00:44:45,080
Speaker 10: Right then? Yeah, you know, we take a lot of

1016
00:44:45,120 --> 00:44:46,920
Speaker 10: hits every week. You know, you learn when when you

1017
00:44:46,960 --> 00:44:50,560
Speaker 10: stand for something that's different than other people, regardless of

1018
00:44:50,560 --> 00:44:51,880
Speaker 10: what it is, you can take a beating.

1019
00:44:51,960 --> 00:44:53,680
Speaker 4: So we uh, you.

1020
00:44:53,600 --> 00:44:55,879
Speaker 10: Know, we embrace it. But you know, every week, whether

1021
00:44:55,880 --> 00:44:58,600
Speaker 10: it's the vegans or the liberals, uh, you know, or

1022
00:44:58,600 --> 00:45:01,719
Speaker 10: the socialists, whatever it is, we're we're taking a hit.

1023
00:45:01,680 --> 00:45:02,560
Speaker 8: Every week from them.

1024
00:45:02,560 --> 00:45:08,200
Speaker 10: But uh again, forming a business, that's that's a community base.

1025
00:45:08,239 --> 00:45:11,440
Speaker 10: I call it the mission, uh, the sort of the

1026
00:45:11,800 --> 00:45:14,439
Speaker 10: mission of meat that we're on. We have a great

1027
00:45:14,440 --> 00:45:17,279
Speaker 10: group of people that rally together and uh and sort

1028
00:45:17,280 --> 00:45:19,080
Speaker 10: of that's on our land.

1029
00:45:19,120 --> 00:45:21,640
Speaker 1: As you would say, Well, we're thrilled and we're going

1030
00:45:21,719 --> 00:45:23,400
Speaker 1: to be ordering from you, and we hope all of

1031
00:45:23,440 --> 00:45:25,120
Speaker 1: our listeners will be ordering.

1032
00:45:24,960 --> 00:45:25,560
Speaker 2: From you too.

1033
00:45:25,600 --> 00:45:28,120
Speaker 1: We can't wait to get to that Freedom Fest next summer.

1034
00:45:28,480 --> 00:45:30,200
Speaker 1: We've got to go to commercial break in a minute.

1035
00:45:30,200 --> 00:45:32,200
Speaker 1: We're wrapping up the show. But thank you so much

1036
00:45:32,280 --> 00:45:34,440
Speaker 1: for being with us, and we're really excited that you're

1037
00:45:34,480 --> 00:45:36,160
Speaker 1: doing what you're doing right in our own backyard.

1038
00:45:36,239 --> 00:45:37,480
Speaker 3: We are. Thank you, guys.

1039
00:45:37,520 --> 00:45:40,680
Speaker 5: We'll have you back on again for sure.

1040
00:45:41,320 --> 00:45:42,920
Speaker 2: Cool awesome stuff, guys.

1041
00:45:43,040 --> 00:45:46,480
Speaker 5: Thank you, guys, godless, thank.

1042
00:45:45,719 --> 00:45:47,560
Speaker 3: You, thank you, thank you. It is I know. I

1043
00:45:47,560 --> 00:45:48,279
Speaker 3: can't wait to go up there.

1044
00:45:48,280 --> 00:45:49,399
Speaker 2: I just wait to eat their meat.

1045
00:45:49,520 --> 00:45:52,080
Speaker 3: Yes, it looks incredible. You're going to get their all

1046
00:45:52,120 --> 00:45:54,319
Speaker 3: the prime special. I was like, I need to have that.

1047
00:45:54,719 --> 00:45:57,720
Speaker 6: So on the website there you can. You can schedule

1048
00:45:57,760 --> 00:45:59,759
Speaker 6: a free visit to hang out with these guys. But

1049
00:45:59,800 --> 00:46:01,720
Speaker 6: you to schedule it, you can't just we're scheduling.

1050
00:46:01,760 --> 00:46:02,160
Speaker 3: We're coming.

1051
00:46:02,160 --> 00:46:03,960
Speaker 1: We don't have to wait for Freedom fast.

1052
00:46:04,040 --> 00:46:04,479
Speaker 3: We're coming.

1053
00:46:04,600 --> 00:46:06,799
Speaker 1: Yeah yeah, yeah, So tee, all right, do you have

1054
00:46:06,800 --> 00:46:07,600
Speaker 1: any announcements?

1055
00:46:07,640 --> 00:46:07,920
Speaker 3: I do.

1056
00:46:08,120 --> 00:46:11,200
Speaker 5: I'm gonna go off memory right now. So fellas, if

1057
00:46:11,239 --> 00:46:13,759
Speaker 5: you're listening to me up there, what am I gonna do?

1058
00:46:13,800 --> 00:46:14,640
Speaker 3: First? Tomorrow night?

1059
00:46:14,920 --> 00:46:17,040
Speaker 5: Tomorrow night, we have Greg Hack, We have the Greg

1060
00:46:17,040 --> 00:46:20,960
Speaker 5: Cack graphic. Greg Hack my good good friend. You saw

1061
00:46:21,040 --> 00:46:23,960
Speaker 5: them on here a few weeks ago. Veteran, one of

1062
00:46:24,040 --> 00:46:27,240
Speaker 5: the top attorneys in the country running for Congressional District

1063
00:46:27,280 --> 00:46:28,360
Speaker 5: three in my district.

1064
00:46:28,440 --> 00:46:29,280
Speaker 3: I'm so excited.

1065
00:46:29,600 --> 00:46:32,160
Speaker 5: You can come tomorrow night meet him here. We've got

1066
00:46:32,200 --> 00:46:36,440
Speaker 5: to say, have a bite to eat. Also, on December sixth,

1067
00:46:36,480 --> 00:46:38,799
Speaker 5: we have the art exhibit with Scott Libato and a

1068
00:46:38,800 --> 00:46:44,080
Speaker 5: bunch of wonderful artist David Banangis, Chelsea, Carol Nelson, Medina,

1069
00:46:44,520 --> 00:46:47,040
Speaker 5: who am I forgetting, Elaine Thompson, and Kate Gancy.

1070
00:46:47,120 --> 00:46:49,640
Speaker 3: I think that's everyone. I hope there's a flyer.

1071
00:46:50,200 --> 00:46:53,080
Speaker 5: The next day we have the holiday shopping Extravaganza.

1072
00:46:53,239 --> 00:46:54,520
Speaker 3: We are almost sold out.

1073
00:46:54,520 --> 00:46:56,479
Speaker 5: We have like one table left, so this whole entire

1074
00:46:56,560 --> 00:46:59,480
Speaker 5: room and the front is booked. Now we need the shoppers,

1075
00:46:59,480 --> 00:47:03,040
Speaker 5: so please please please screenshot this flyer, post it, share it,

1076
00:47:03,160 --> 00:47:03,880
Speaker 5: plan to come.

1077
00:47:03,760 --> 00:47:04,360
Speaker 3: Down and shop.

1078
00:47:04,680 --> 00:47:06,239
Speaker 5: Bobby will be here with his table. It'll be a

1079
00:47:06,280 --> 00:47:09,560
Speaker 5: lot of great stuff here. And I think that's all

1080
00:47:09,560 --> 00:47:11,840
Speaker 5: I put in there for today. Oh and Kevin Downey Junior,

1081
00:47:11,960 --> 00:47:17,120
Speaker 5: Thank you guys always. Katij my Man his radio show

1082
00:47:17,200 --> 00:47:20,800
Speaker 5: one of three point nine Monday through Friday, he's awesome.

1083
00:47:20,880 --> 00:47:22,560
Speaker 3: He's here on Wednesday night to six o'clock.

1084
00:47:22,640 --> 00:47:24,359
Speaker 5: In fact, Greg Hack will be on his show before

1085
00:47:24,400 --> 00:47:26,239
Speaker 5: he has this event tomorrow night, so tune in for that.

1086
00:47:26,760 --> 00:47:30,520
Speaker 2: And that's it from me. All right, Well, we're out.

1087
00:47:30,360 --> 00:47:31,960
Speaker 1: Of time, but we are going to pray anyhow to

1088
00:47:31,960 --> 00:47:35,200
Speaker 1: pray any always do Heavenly Father, We thank you for

1089
00:47:35,239 --> 00:47:37,560
Speaker 1: another week and the many opportunities you give us to

1090
00:47:37,600 --> 00:47:40,120
Speaker 1: serve you and your people, And thank you for our

1091
00:47:40,160 --> 00:47:43,720
Speaker 1: guests tonight. We thank you for the work that they're

1092
00:47:43,719 --> 00:47:47,680
Speaker 1: doing out in the world and all around the country.

1093
00:47:48,280 --> 00:47:53,279
Speaker 1: We are seeking your will for our lives, and we

1094
00:47:53,400 --> 00:47:56,680
Speaker 1: thank you. When people answer their call, please.

1095
00:47:56,440 --> 00:47:57,359
Speaker 2: Guide and guard them.

1096
00:47:57,920 --> 00:48:00,520
Speaker 1: As many have been, aware that we have been living

1097
00:48:00,520 --> 00:48:02,439
Speaker 1: in a world that is very different than the one

1098
00:48:02,440 --> 00:48:04,520
Speaker 1: we once believed it to be. We ask that you

1099
00:48:04,600 --> 00:48:07,080
Speaker 1: show us the way and continue to illuminate a path

1100
00:48:07,120 --> 00:48:09,440
Speaker 1: for us that you intend for us and our families.

1101
00:48:10,120 --> 00:48:13,480
Speaker 1: Forgive us for having falling asleep for so long, Help

1102
00:48:13,560 --> 00:48:15,719
Speaker 1: us to return to our roots and raise those who

1103
00:48:15,800 --> 00:48:18,960
Speaker 1: seek to honor our natural bodies, minds, and spirits in

1104
00:48:19,040 --> 00:48:22,000
Speaker 1: all areas. We know that you are the only way,

1105
00:48:22,080 --> 00:48:24,680
Speaker 1: and that you are a waymaker. And we trust you

1106
00:48:24,719 --> 00:48:27,799
Speaker 1: with all our hearts and your name. We pray Amen

1107
00:48:28,360 --> 00:48:30,959
Speaker 1: and as always, keep your faith strong.

1108
00:48:30,719 --> 00:48:33,359
Speaker 5: Your family close, and your freedom alive and control them.

1109
00:48:33,400 --> 00:48:35,319
Speaker 5: If you could put a Bobby's graphic Free Mind Thrive

1110
00:48:35,360 --> 00:48:36,160
Speaker 5: as we roll out.

1111
00:48:36,040 --> 00:48:36,880
Speaker 3: So people can see it.

1112
00:48:38,239 --> 00:48:39,200
Speaker 1: Thanks for staying with us.

1113
00:48:39,200 --> 00:48:41,439
Speaker 5: Thank you guys, Good night everybody. I'll bless you guys,

1114
00:48:41,480 --> 00:48:42,160
Speaker 5: have a great night.

1115
00:48:42,440 --> 00:48:44,719
Speaker 2: Thank you, so good to have you with us.

1116
00:48:44,719 --> 00:48:44,959
Speaker 8: Bani.

1117
00:48:45,280 --> 00:48:45,560
Speaker 2: Thanks