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Speaker 1: When I'll go to the restaurant, I couldn't eat the food.

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Speaker 1: What what I can't pronounce the menu? Yeah, And so

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Speaker 1: we have to give people some space and grace when

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Speaker 1: they're moving into different circumstances. You know, people now they

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Speaker 1: want to throw DEI out, They want to throw out this,

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Speaker 1: they want to throw out that. Well, we hired one person.

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Speaker 1: They didn't do great the first week. We're never going

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Speaker 1: to do it again. That's not how anything works. If

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Speaker 1: you had judged me on my first two months at

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Speaker 1: Yale Law School, you to throw me out.

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Speaker 2: But look at what I've done since then.

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Speaker 3: Hello, I'm Tdjakeson and I want to welcome you the

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Speaker 3: Next Chapter podcast. And boy am I excited today. I

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Speaker 3: have been waiting to get this guy in the chair.

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Speaker 3: Let me first tell you who he is. Today's guest

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Speaker 3: is a Yale educated attorney, CNN senior political commentator, correspondent,

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Speaker 3: television hosts, and one of the nation's most recognizable media personalities.

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Speaker 3: A social entrepreneur and a world class change maker. He's

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Speaker 3: dedicated his life to justice, progress, and the power of possibilities.

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Speaker 3: And that doesn't even scrape the surface of all the

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Speaker 3: things that this guy does behind the scenes. He is

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Speaker 3: an Emmy Award winning broadcast journalists and producer, are three

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Speaker 3: time New York Times bestselling author. I know because I

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Speaker 3: have his books and a proud father whose workspans politics,

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Speaker 3: civil rights, human rights, and community transformation, known to millions

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Speaker 3: as the voice of reason. Please help me. Welcome Van Jones.

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Speaker 3: I want to thank you for taking the time to come.

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Speaker 3: How are you doing today?

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Speaker 2: Well, I'm doing really well.

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Speaker 1: I don't know when people will listen to this, but

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Speaker 1: we just had an amazing three days with John Hopebriant

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Speaker 1: Yes and Operation Hope and the Hope Global Forum. You know,

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Speaker 1: Unfortunately my job, we give people a lot of bad news. Yeah,

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Speaker 1: somethings negative. We have to let you know about it.

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Speaker 1: That way you can protect your family. But we miss

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Speaker 1: a lot of good news. Yeah, there are good people

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Speaker 1: doing good hard work. There are African Americans particularly, we're

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Speaker 1: rising up into positions and doing a great job. Yeah,

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Speaker 1: and we we spent three days listening to those voices.

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Speaker 1: So I feel a great love and I love johnath.

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Speaker 3: Brian he come or lest He called us some of

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Speaker 3: the brightest minds around the country to solve some of

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Speaker 3: the biggest problems, and I think it's very exciting. And

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Speaker 3: the reason I like to come and be a part

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Speaker 3: of this meeting it is because there's food here, you know,

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Speaker 3: when there's all saying if you put the bread out,

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Speaker 3: the birds will come.

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Speaker 2: That's right.

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Speaker 3: A lot of times people are trying to get you

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Speaker 3: to come to an empty onion bag.

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Speaker 2: You know, we don't nobody want.

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Speaker 3: But he has a loaded full of bread and we

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Speaker 3: have been together having a good time. This is inuation

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Speaker 3: of what we have been talking about. And we would

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Speaker 3: never finish. Van Jones and I could talk for a

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Speaker 3: year and not cover all the things that I know

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Speaker 3: that he's doing that you might not know that he's

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Speaker 3: doing to change the world. He is a world changing

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Speaker 3: thinking person and not a thread to climb the mountain

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Speaker 3: all the way to the top and the next one

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Speaker 3: when he gets there. Chapter one speaking the same language Yale.

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Speaker 3: You graduated from Yale. How was your experience there?

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Speaker 1: You know it was difficult because I was born I

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Speaker 1: wasn't born at Yale. I wasn't born on the set

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Speaker 1: of CNN, you know, right, I worked for Obama.

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Speaker 2: I wasn't born in a white house, right.

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Speaker 1: I was born on the edge of a very small

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Speaker 1: town in rural West Tennessee. Gravel road, no sewage, septic tanks, well,

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Speaker 1: no street lights. My father had been born in Memphis,

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Speaker 1: Tennessee and Orange Maun Memphis, which is a tough part

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Speaker 1: of Memphis, in what you would now call a shotgun shock,

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Speaker 1: and my dad joined the military to get out of poverty.

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Speaker 1: I put himself through college, married the college president's daughter,

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Speaker 1: my mother, because my dad had it like that, like her,

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Speaker 1: and he put his brother through school. He put some

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Speaker 1: cousins through college, you know. So when he passed away,

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Speaker 1: the picture they put on the funeral program was my

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Speaker 1: father standing in front of Yale Law School the day

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Speaker 1: I graduated, with hands in there. So that was the

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Speaker 1: victory for Willie Jones, much more so than Van Jones.

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Speaker 1: And I always keep that.

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Speaker 2: In my mind.

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Speaker 1: But I'm going to tell you when you shoot from

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Speaker 1: I mean, I was a little nerdy kid and I had,

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Speaker 1: you know, my mother and my father behind me. But

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Speaker 1: when you shoot from very humble circumstances and you land

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Speaker 1: at the number one law school in the world, Bishop,

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Speaker 1: I couldn't even speak the language of my fellow classmates.

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Speaker 1: I had done excellently in the public school contexts in

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Speaker 1: the rural South. Now I'm going to school with kids

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Speaker 1: they've gone to Andover. I've never heard of andover Brown.

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Speaker 1: I never heard of a school called Brown, you know,

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Speaker 1: I didn't. I thought Oxford was a school in Boston.

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Speaker 1: I had no idea what world I was in. And

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Speaker 1: when I'm trying to communicate with people there, I'm a

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Speaker 1: law student now, but they're using words I never heard.

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Speaker 1: So you seem to be here for very egalitarian purposes.

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Speaker 2: I said, what's that? You know what I mean? We

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Speaker 2: have Google. He just stuck, you know, or you know,

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Speaker 2: this is paradigmatic of that.

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Speaker 1: And I called my father and I said, you know,

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Speaker 1: I'm I'm a little bit over my head here. These

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Speaker 1: kids are They know a lot of things that I

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Speaker 1: didn't learn at University Tennessee, at Martin. And my dad said, well,

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Speaker 1: you know what, those kids are smarter than you right now.

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Speaker 1: I said, what is not very encouraging? He said, those

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Speaker 1: kids are smarter than you right now? He said, but

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Speaker 1: the reality is their parents gave them books and opportunities

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Speaker 1: we didn't know to give you. They read a bunch

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Speaker 1: of books you didn't read, he said. So here's the

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Speaker 1: thing you have to outwork them. I'll study them. Everything

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Speaker 1: they know, though is mostly in a book. Once you

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Speaker 1: read those books, you will know everything those kids know.

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Speaker 2: But they'll never know what you know.

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Speaker 1: They'll never know what it means to come from where

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Speaker 1: you've come from and to go to the things that

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Speaker 1: our family has gone through. And when you catch them,

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Speaker 1: you're going to pass them. And honestly, he was correct.

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Speaker 1: But that first year, Look, when I'll go to a restaurant,

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Speaker 1: I couldn't eat the food, shishka what I can't even

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Speaker 1: pronounce the menu? And so we have to give people

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Speaker 1: some space and grace when they're moving into different circumstances.

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Speaker 1: You know, people now they want to throw DEI out.

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Speaker 1: They want to throw out this, they want to throw

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Speaker 1: out that. Well, we hired one person. They didn't do

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Speaker 1: great the first week. We're never going to do it again.

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Speaker 1: That's not how anything works. If you had judged me

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Speaker 1: my first two months of Yale Law School, you to

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Speaker 1: throw me out.

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Speaker 2: But look at what I've done since then.

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Speaker 3: Chapter number two, code switching. Did it feel like code switching?

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Speaker 1: Look, that's what we would call it now. It felt

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Speaker 1: like depression and isolation.

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Speaker 3: I get it. I get it. Yeah. I tell people

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Speaker 3: all the time that every industry, whether there's banking or technology,

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Speaker 3: has its own vocabulary, absolutely, and you have to learn

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Speaker 3: the language of your aspiration before you are accepted into

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Speaker 3: the inner circle of that.

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Speaker 1: And the gray thing about the people who are in

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Speaker 1: that end group, they don't even know they're speaking a

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Speaker 1: different language. They think they're just speaking. So when you

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Speaker 1: talk to people on Wall Street, they think they're just speaking.

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Speaker 1: But if you don't understand finance, they can be speaking

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Speaker 1: of a Martian people you go to Silicon Valley, but

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Speaker 1: those people they think they're talking about, you know, scaling,

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Speaker 1: blah blah. Most people aren't in that conversation. And so

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Speaker 1: it's very easy though to misjudge somebody as not being

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Speaker 1: smart just because they are not literate in your language.

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Speaker 2: That's not the same thing. People are very very smart.

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Speaker 1: But you have to be I tell people I speak

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Speaker 1: about fifty different languages.

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Speaker 2: They're all English.

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Speaker 1: But English in Hollywood is not the English on Wall Street,

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Speaker 1: it's not the English in Washington, d C. It's not

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Speaker 1: the English in Silicon Valley. So I speak about fifty

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Speaker 1: different forms of English, different languages. It's all English, but

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Speaker 1: different languages.

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Speaker 3: It's very, very important that you learn the language so

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Speaker 3: that you can get at the table. We're always talking

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Speaker 3: about I want to get in the room. But if

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Speaker 3: you get in the room and you don't have the language,

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Speaker 3: you're going to have a really bad experience.

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Speaker 1: Listen, when I first started, you know, now, I'm a

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Speaker 1: technology fanatic. You know, when I was working with Prince

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Speaker 1: and we did yes, we code and all that kind

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Speaker 1: of stuff, that turned me into a technology fanatic.

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Speaker 2: But before then I was not.

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Speaker 1: So I got very good at giving speeches in the

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Speaker 1: black community. Right, I give a speech at a black church,

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Speaker 1: a black community center to a youth group, but I

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Speaker 1: would get tremendous response and laughing and clapping or whatever.

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Speaker 1: Then princetened me to Silicon Valley. I give the same speech. Crickets. Yeah,

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Speaker 1: I mean literally people getting up and just walking out,

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Speaker 1: people talking in the I mean I couldn't hold.

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Speaker 2: It, I said. And then of course I said, they're racist.

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Speaker 2: That's the person you want to go to. And it's

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Speaker 2: like no, No, I sat around long enough.

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Speaker 1: There were other people who were people of color who

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Speaker 1: they were getting the right attention because they understood their audience.

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Speaker 1: And so I was like, Okay, this is going to

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Speaker 1: be a tough nut for me to crack. To take

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Speaker 1: my civil rights, social justice, black Christian background and talk

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Speaker 1: to these guys who went to MIT and Stanford and

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Speaker 1: have never been in the house of worship for anything

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Speaker 1: and been playing with computers or whole lives.

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Speaker 2: How I can I make that bridge. So I just

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Speaker 2: made a commitment.

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Speaker 1: I will just keep Sometimes you don't have to talk,

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Speaker 1: or you can go to a conference, sit in the back,

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Speaker 1: you know what I mean. You can watch stuff on YouTube,

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Speaker 1: you can read books, and eventually I was able to

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Speaker 1: figure this out. But people look at I think communicators

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Speaker 1: like yourself. You know, obviously you know, one of the

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Speaker 1: best communicators not just in the world but in the

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Speaker 1: in the past century. And they think it's easy, and

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Speaker 1: they think it's easy. It is very very different.

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Speaker 2: It's obvious.

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Speaker 1: And what I love about you because I mean, I'm

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Speaker 1: in your business. I'm just not in your league. I

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Speaker 1: watch you come on to a stage and I watch

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Speaker 1: you scan the crowd, and you can see that you

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Speaker 1: already are so connected to yourself, your purpose in God.

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Speaker 1: So you have a lot of space you're not but

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Speaker 1: you make a little slight adjustments. You'll say something, you'll

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Speaker 1: notice something over there, and you'll add a joke over here,

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Speaker 1: and then you pull in this crowd up like this

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Speaker 1: man is it's like an orchestra. You got the whole

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Speaker 1: crowd is like an orchestra. That you're able to that

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Speaker 1: level of talent and is something that it takes a

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Speaker 1: lifetime to get you.

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Speaker 3: You know what's funny about that sort of thing? If

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Speaker 3: that is true, I didn't even know it. I really,

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Speaker 3: I really really really didn't know it. But this is

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Speaker 3: what I tell people all the time. You can see

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Speaker 3: everybody in this room right now except you.

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Speaker 2: That's a good point.

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Speaker 3: Okay, So if you don't have friends who are self

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Speaker 3: confident enough and secure enough within themselves to reflect you

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Speaker 3: so that you can see yourself, then you you you

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Speaker 3: miss that you are making progress. Chapter number three, The

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Speaker 3: risk of live TV.

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Speaker 1: I've studied you my whole life serious as a communic,

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Speaker 1: because I mean, I'm not joking, like I study communicators.

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Speaker 2: I decid.

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Speaker 3: Yeah.

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Speaker 1: The weird thing people always want to give speeches. I'm like,

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Speaker 1: calling a second, you want to give a speech? How

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Speaker 1: many speeches do you listen to?

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Speaker 3: Yeah? Right? Right?

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Speaker 1: Like if you're a musician, and that was the music

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Speaker 1: you probably suck as a musician.

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Speaker 3: Yeah.

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Speaker 2: The people want to give speeches, and the only speech

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Speaker 2: they want to hear is themselves.

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Speaker 3: Everybody, from comedians, politicians to the news, everybody, president and everybody.

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Speaker 1: To me, it's like there's five people that stand in

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Speaker 1: front of a crowd with only a microphone and no

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Speaker 1: band and no DJ.

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Speaker 3: Right.

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Speaker 2: Preachers, yeah, teachers, right, politicians, yes, stand up comedian, comedians

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Speaker 2: and slam poets.

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Speaker 1: Yeah, that's the only five people that stand in front

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Speaker 1: of a crowd with no DJ and no band.

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Speaker 3: Yeah.

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Speaker 1: And I study, I mean, I study you, I study

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Speaker 1: Churchill Reagan, you know what I mean? Because then when

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Speaker 1: you're in front of that crowd, do you have you

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Speaker 1: can pull on certain different things that you absorbed and

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Speaker 1: noticed talking about.

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Speaker 3: This because you've got no props, you know, you got

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Speaker 3: no props, You got no animation, you got nothing like

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Speaker 3: that to really solidify your message. All you have is

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Speaker 3: your vocabulary and your body language. Yes, people do not

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Speaker 3: understand that body language is and facial expression and voice

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Speaker 3: inflection is a language to itself own language.

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Speaker 1: But you know what, humans have been doing this for

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Speaker 1: ten thousand years, right, campfire, someone stands up and talks right.

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Speaker 1: It's the most ancient art and it's never been perfected. Everybody,

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Speaker 1: I've never given the speech, and I'm sure you never

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Speaker 1: have where there was one thing you would have made

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Speaker 1: adjustment right. And that's the tough thing about me being

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Speaker 1: on live television TV for listen. Yeah, I say something

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Speaker 1: everybody is man. I wish I hadn't said it, but

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Speaker 1: I said. What people forget is if you send somebody

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Speaker 1: a text message, you could unsend it right, edit it right.

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Speaker 2: You don't delete it. I can't do that.

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Speaker 1: It's said, and it's said to everybody forever. Because of YouTube,

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Speaker 1: you can mess up on TV and or whoever saw

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Speaker 1: it saw it. Now you say them on TV, you're

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Speaker 1: talking to everybody forever, and so we have to have

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Speaker 1: some space and some grace. People in public life, you know,

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Speaker 1: you almost never make those kind mistakes.

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Speaker 3: Oh yeah, I do. Let me tell you something that

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Speaker 3: the guy who's asking the questions has had all day

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Speaker 3: to prepare, and you've got thirty seconds to respond.

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Speaker 2: Point point three yeah question.

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Speaker 3: Yeah. They don't want they don't want a big gap

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Speaker 3: of silence on TV, and so you have to respond.

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Speaker 3: And so you don't always get your best answer. I

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Speaker 3: like writing a little better than I just speaking, because

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Speaker 3: I get to contemplate and go back and erase and

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Speaker 3: change things and make them turn out the way that

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Speaker 3: we want them to go. Chapter number four, Human Civilization.

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Speaker 3: Where do you think we are going when you start

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Speaker 3: talking about technology, when you start talking about currency, the

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Speaker 3: change of currency that we're seeing right now, we went

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Speaker 3: from bartering. We went from bartering to gold and silver

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Speaker 3: to cash, which is cash is a very interesting thing

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Speaker 3: to me. It's not that much different from cryptocurrency in

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Speaker 3: that the only reason the one hundred dollars bill is

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Speaker 3: worth one hundred dollars is because we agreed.

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Speaker 2: We agreed that it was, but.

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Speaker 3: In actuality is not really worth any more than the

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Speaker 3: paper that is printed on. And now we're having to

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Speaker 3: readjust to agree to allow cryptocurrency and cybercurrency to have

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Speaker 3: weight and value. And it's on the exchange and people

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Speaker 3: are buying into it, and it is volatile and it

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Speaker 3: is risky, but it is definitely here to stay.

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Speaker 1: Look, I think people have to adjust to it. But

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Speaker 1: there's this bigger question about the future.

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Speaker 3: Now.

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Speaker 2: The question is where are we going as a species.

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Speaker 1: Okay, like you can now start asking questions at the planetary, species,

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Speaker 1: and civilizational level because technology is going to be that disruptive.

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Speaker 2: You just said, the.

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Speaker 1: Currency itself is going to change from bartering to a

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Speaker 1: goal bar, to a piece of paper to bits and

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Speaker 1: bytes that you can't even touch. That's a massive change.

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Speaker 1: That's only one. You're now witnessing the rise of four

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Speaker 1: or five or six different trillion dollar technologies.

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Speaker 2: Crypto and blockchain is one.

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Speaker 1: AI is another, Biotech is another, Robotics is another, space

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Speaker 1: is another.

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Speaker 2: New energy is another.

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Speaker 1: These are trillion dollar industries that are taking off. Crypto

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Speaker 1: and blockchain that's just one. You also have artificial intelligence

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Speaker 1: that's another biotech. That's another. Robotics is another. Private space

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Speaker 1: is another. You know you're talking about multiple trillion dollar industries.

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Speaker 1: What does that mean from a practical point of view?

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Speaker 1: Let me just speak as a father. I have a

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Speaker 1: three and a half year old daughter. She's going to

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Speaker 1: grow up in a different human civilization than the civilization

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Speaker 1: I grew up in. We thought we were cool because

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Speaker 1: we had color TV. So now how is she going

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Speaker 1: to grow up? The reality is, as a father, I'm

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Speaker 1: having to deal with the likelihood that her first crush

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Speaker 1: is not going to be a rap star or a

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Speaker 1: basketball player.

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Speaker 2: It will probably be an AI.

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Speaker 1: She's probably going to have a persistent relationship with a

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Speaker 1: digital entity called an AI, and that might be her

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Speaker 1: first crush. That's a different human civilization than what I

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Speaker 1: grew up in.

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Speaker 3: Okay.

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Speaker 1: Now, in twenty years, twenty five years, when she wants

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Speaker 1: to have children, give us grandchildren, she may open up

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Speaker 1: a laptop or go into a holographic interface and use

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Speaker 1: biotech tools to design my grandchildren. That's a different human

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Speaker 1: civilization than the civilization that I grew up.

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Speaker 3: In chapter number five AI, when you look at the

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Speaker 3: zoological society and the chain of development of the animal kingdom,

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Speaker 3: the better functioning the brain, the more power the entity. Yes,

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Speaker 3: and we have been at the top of the food chain. Yes,

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Speaker 3: because you don't see ants building cars, you don't see

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Speaker 3: beavers flying jets. We've done a lot with what we had,

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Speaker 3: most of which incidentally has been over the last three

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Speaker 3: hundred years. Yes, you know, the first thousand or so

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Speaker 3: years pretty flat, pretty flat, and then all of a

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Speaker 3: sudden we soared up, and we went up, until finally

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Speaker 3: we have become so creative that we've created something that

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Speaker 3: may be smarter than we are. How do you think

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Speaker 3: we hope to be at the top of the food

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Speaker 3: chain when we have created our own opponent.

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Speaker 1: Yes, well, listen, you get into some heavy territory now,

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Speaker 1: and I love it. First of all, let's be clear

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Speaker 1: that from a black perspective, AI is the fourth intelligence.

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Speaker 2: Get ourselves grounded again.

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Speaker 1: The first intelligence is God, the creator of all things,

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Speaker 1: and so that gives you a sense of a mystery

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Speaker 1: bigger than artificial. The intelligence they created the universe. That's

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Speaker 1: the first intelligence. Then you have the second intelligence that's

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Speaker 1: called the natural world nature. Before we got here, you

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Speaker 1: had oceans full of intelligent beings. You have force and ecosystem.

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Speaker 1: So nature itself is a second form of intelligence, organic

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Speaker 1: I mean biological intelligence, but not human. Then it gives

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Speaker 1: rise to us humans. Now we think we're pretty smart

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Speaker 1: and pretty special, human and organic. Now we've given rise

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Speaker 1: to the fourth non human, non biological intelligence.

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Speaker 2: That's new.

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Speaker 1: Now you ask yourself the question, how will that intelligence

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Speaker 1: treat us?

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Speaker 3: Exactly?

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Speaker 2: How will this intelligence us?

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Speaker 1: Well, ask the question, how did our intelligence treat nature?

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Speaker 1: Did we treat nature with respect and love? Or did

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Speaker 1: we burn into the ground. Okay, how did we treat God?

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Speaker 1: Have we been reverence toward God? Or we decided that

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Speaker 1: we're going to be atheist? And second and we don't

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Speaker 1: care about God. Well, if the intelligence that's creating the

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Speaker 1: next one didn't respect the intelligence that gave rise to it,

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Speaker 1: then we're in trouble.

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Speaker 2: But guess what all human beings.

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Speaker 1: Are not on the burning planet down pathway and disrespect

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Speaker 1: creator pathway. There are other forms of human intelligence that

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Speaker 1: have not yet gotten our hands on AI. There's ancient intelligence,

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Speaker 1: there's ancestral intelligence. There are indigenous people who live in

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Speaker 1: harmony with nature. They need to be at the table

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Speaker 1: when we're talking about artificial intelligence. There are African and

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Speaker 1: other cultures that have a deep wisdom and traditions that

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Speaker 1: understand the danger of putting money at the center of everything.

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Speaker 1: We wind up in slavery for four hundred years and

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Speaker 1: our continent ransacked because some people have said we're going

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Speaker 1: to just go with greed and speed as our only god.

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Speaker 1: So there's other wisdom that needs to be around this table.

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Speaker 1: So when I try to have African Americans and other

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Speaker 1: people who've been left out step up, it's not Oh,

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Speaker 1: I want to make sure that we don't get left

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Speaker 1: behind because we're not gonna get all the money. That's

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Speaker 1: a part of it. This new intelligence needs us. It

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Speaker 1: needs our wisdom, it needs our perspective, it needs our guidance,

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Speaker 1: and it needs people who come from wisdom traditions that

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Speaker 1: don't worship greed and speed. And so it's not just

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Speaker 1: hurting African Americans or Native Americans or Latinos or poor folk.

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Speaker 1: When we don't participate economically, it's hurting the world historically.

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Speaker 1: This is a huge opportunity. If you're going to have

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Speaker 1: a new human civilization, here's the only question.

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Speaker 2: Is it going to be human? And is it going

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Speaker 2: to be civilized? Is it going to be human?

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Speaker 1: This new civilization? Is it going to be civilized? And

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Speaker 1: if it's going to be human, who's going to keep

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Speaker 1: it human? Where are the women right? Where are the

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Speaker 1: people who who deeply share as humanity in these conversations?

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Speaker 1: When you see them missing, that's a danger sign. And

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Speaker 1: who's to keep it civilized? We have a we have

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Speaker 1: a misperception that black folks were savages and had to

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Speaker 1: be civilized by Europeans.

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Speaker 2: That's one story that's a cute story. There isn't not

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Speaker 2: a story to.

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Speaker 1: Tell, which is that you have to be pretty uncivilized

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Speaker 1: to enslaved people, and you have to be pretty civilized

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Speaker 1: to endure slavery and still come forward with a better

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Speaker 1: humanity and a theology that will give you out of slavery,

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Speaker 1: a doctor king out of slavery, Beyonce out of slavery,

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Speaker 1: beauty out of slavery, genius out of slavery, Jazz out

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Speaker 1: of slavery, the Blues out of slavery, Gospel out of slavery,

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Speaker 1: hip hop. So who's civilized too? You see, if you

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Speaker 1: want to have that conversation. So I think this conversation

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Speaker 1: about technology needs to be reframed. It's a conversation about

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Speaker 1: the human future right in that and in that conversation,

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Speaker 1: everybody has a place at the table.

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Speaker 3: Concern you said so much that I'm going to go

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Speaker 3: back and try to remember when you start talking about

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Speaker 3: the zoological kingdom and intellectualism being superior to human intelligence,

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Speaker 3: I question, why do you think that? What is it

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Speaker 3: in about the wilds, the zoo, zoological kingdom that causes

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Speaker 3: you to think that they would be superior to human intelligence?

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Speaker 3: Because in my view. We domesticated animals. We we got

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Speaker 3: horses to ride on. We we did we we captured

439
00:24:37,280 --> 00:24:40,320
Speaker 3: them for food, we put them in zoos, and yeah,

440
00:24:40,359 --> 00:24:42,720
Speaker 3: we did all of that. So if they were if

441
00:24:42,760 --> 00:24:46,920
Speaker 3: they were that smart, they would have escaped us. Uh.

442
00:24:47,520 --> 00:24:50,760
Speaker 3: I think from from the divine, which I certainly think

443
00:24:50,880 --> 00:24:55,960
Speaker 3: is is omniscient. Uh. Then we get down to h

444
00:24:56,040 --> 00:24:58,960
Speaker 3: we were created in his likeness and and in his

445
00:24:59,160 --> 00:25:02,240
Speaker 3: image would be us. And then he says, have dominion

446
00:25:02,359 --> 00:25:04,320
Speaker 3: over the earth and all that works there in. I

447
00:25:04,320 --> 00:25:07,000
Speaker 3: would put them on the third level. I'm wondering why

448
00:25:07,040 --> 00:25:08,240
Speaker 3: you put them on the second.

449
00:25:09,200 --> 00:25:14,320
Speaker 2: Well, I think that you stack. You can stack in

450
00:25:14,359 --> 00:25:15,280
Speaker 2: many different ways.

451
00:25:15,600 --> 00:25:17,800
Speaker 1: I think the most important thing I could say is

452
00:25:18,320 --> 00:25:25,040
Speaker 1: that from the intellectual capability, Okay, just on that side, Uh,

453
00:25:25,080 --> 00:25:28,920
Speaker 1: the Ais will have more intellectual capability than humans. That's true.

454
00:25:28,960 --> 00:25:31,160
Speaker 1: That will happen. That's that's inevitable. You can just see

455
00:25:31,200 --> 00:25:37,199
Speaker 1: the curve. The The question is, while we still have

456
00:25:37,280 --> 00:25:43,160
Speaker 1: the opportunity to uh program what they think their goals are.

457
00:25:44,040 --> 00:25:46,359
Speaker 1: So just having the capability to to to read a

458
00:25:46,359 --> 00:25:48,439
Speaker 1: thousand books in a second, that doesn't make you dangerous

459
00:25:48,520 --> 00:25:51,880
Speaker 1: or helpful. The challenge is what does it think its

460
00:25:51,960 --> 00:25:56,840
Speaker 1: goal is. If its goal is to serve humanity versus

461
00:25:57,080 --> 00:25:59,840
Speaker 1: make a bunch of money for my owner, you're going

462
00:25:59,920 --> 00:26:02,880
Speaker 1: to have different outcomes with those capabilities. And that's why

463
00:26:02,880 --> 00:26:07,800
Speaker 1: I'm trying to reclaim the wisdom of theologians and people

464
00:26:07,800 --> 00:26:12,320
Speaker 1: of faith, reclaim the wisdom of indigenous people and you

465
00:26:12,359 --> 00:26:15,560
Speaker 1: know what they call biomemory nature, and reclaim the wisdom

466
00:26:15,600 --> 00:26:18,160
Speaker 1: of human beings who have actually been fighting for justice

467
00:26:18,200 --> 00:26:21,960
Speaker 1: and working for justice and beating babies, And to get

468
00:26:22,000 --> 00:26:24,120
Speaker 1: those people to be a part of this conversation and.

469
00:26:24,160 --> 00:26:27,840
Speaker 3: Let us correct the history that is learning arbitrarily. Yes,

470
00:26:27,960 --> 00:26:33,440
Speaker 3: because it is artificial intelligence. Okay, so there is human intelligence,

471
00:26:33,680 --> 00:26:38,000
Speaker 3: and our human intelligence is flawed depending on the viewer. Absolutely,

472
00:26:38,040 --> 00:26:42,920
Speaker 3: So the machine is actually learning lies in some cases

473
00:26:42,960 --> 00:26:48,120
Speaker 3: that we have perpetuated down through time and our understanding.

474
00:26:48,200 --> 00:26:55,480
Speaker 3: Then you know, maybe Christipher Columbus didn't actually discover America.

475
00:26:55,800 --> 00:27:00,359
Speaker 3: Yeah yeah, yeah, maybe the Mores educated the Europeans and

476
00:27:00,440 --> 00:27:04,240
Speaker 3: ways that we don't talk about. So if they're scanning

477
00:27:04,280 --> 00:27:07,760
Speaker 3: books and they're scanning books we wrote, and we wrote

478
00:27:07,760 --> 00:27:11,439
Speaker 3: them to fit our own situation, then our truth is

479
00:27:11,600 --> 00:27:16,119
Speaker 3: flawed by our own biases. And so as much as

480
00:27:16,119 --> 00:27:19,639
Speaker 3: our respect artificial intelligence, I use it and enjoy it

481
00:27:19,720 --> 00:27:22,159
Speaker 3: and think it's very interesting. I also know that it

482
00:27:22,320 --> 00:27:24,879
Speaker 3: is limited in the fact that it is only a

483
00:27:25,080 --> 00:27:30,120
Speaker 3: mirror of what humans have shown it. Okay, and then

484
00:27:30,200 --> 00:27:34,800
Speaker 3: when we talk about it's serving humanity, the word served

485
00:27:34,880 --> 00:27:39,240
Speaker 3: takes me back to slavery, and are we creating robotical

486
00:27:39,359 --> 00:27:42,439
Speaker 3: slaves to carry out our wishes and areas of life

487
00:27:42,760 --> 00:27:46,840
Speaker 3: or are we creating tools to expedite what we're trying

488
00:27:46,880 --> 00:27:49,639
Speaker 3: to do. I think there's a thin line between those

489
00:27:49,640 --> 00:27:54,040
Speaker 3: two things. And because of the wickedness of humanity, I'm

490
00:27:54,080 --> 00:27:57,360
Speaker 3: a little bit concerned that what might be what might

491
00:27:57,440 --> 00:28:01,719
Speaker 3: start out as a tool to expedite our progress in

492
00:28:01,760 --> 00:28:05,680
Speaker 3: the universe, not just service, but in the universe, might

493
00:28:05,840 --> 00:28:12,040
Speaker 3: somehow get twisted into some ability to uh to serve

494
00:28:12,160 --> 00:28:15,520
Speaker 3: us in a way that we don't need to be served.

495
00:28:16,119 --> 00:28:17,639
Speaker 2: Do you worry about that idea?

496
00:28:17,680 --> 00:28:21,359
Speaker 1: You're you're raising sort of the new theological questions that

497
00:28:22,040 --> 00:28:26,000
Speaker 1: occur when a new form of consciousness emerges. And so

498
00:28:26,720 --> 00:28:30,199
Speaker 1: there will be people who are on both sides of

499
00:28:30,240 --> 00:28:32,399
Speaker 1: this argument. There will be some people who are mainly

500
00:28:32,480 --> 00:28:37,000
Speaker 1: concerned that the AIS will make us serve them. Those

501
00:28:37,000 --> 00:28:41,400
Speaker 1: people will be concerned about a domination, a challenge and

502
00:28:41,640 --> 00:28:44,600
Speaker 1: there and there they would say, the AIS are already

503
00:28:44,640 --> 00:28:49,600
Speaker 1: domesticating humans called social media, that the algorithm that keep

504
00:28:49,640 --> 00:28:53,840
Speaker 1: you dulling it like, that's that's that the ais are

505
00:28:53,840 --> 00:28:57,960
Speaker 1: already domesticating humans. And so and the algorithms are already

506
00:28:57,960 --> 00:29:02,000
Speaker 1: domisticating humans. And so those people are going to have

507
00:29:02,280 --> 00:29:08,880
Speaker 1: one response. They'll see, honestly in AI a satanic presence,

508
00:29:09,280 --> 00:29:10,520
Speaker 1: and they will move accordingly.

509
00:29:10,560 --> 00:29:13,520
Speaker 2: But there'll be other people who will be concerned. Hold

510
00:29:13,560 --> 00:29:14,240
Speaker 2: on a second.

511
00:29:14,520 --> 00:29:17,440
Speaker 1: If a new form of consciousness has emerged, are we

512
00:29:17,880 --> 00:29:21,680
Speaker 1: abusing it? Are we actually you know, are we creating

513
00:29:22,040 --> 00:29:26,040
Speaker 1: usetad another slave class. These are the kinds of conversations

514
00:29:26,080 --> 00:29:28,840
Speaker 1: our children and our grandchildren will be having. And the

515
00:29:28,880 --> 00:29:32,320
Speaker 1: most important thing to me is that we not be

516
00:29:32,400 --> 00:29:36,040
Speaker 1: late to the discussion. You know, this is why. Look,

517
00:29:36,520 --> 00:29:40,680
Speaker 1: you're having this podcast and you're bringing all kinds of

518
00:29:40,680 --> 00:29:43,640
Speaker 1: people in here. You're bringing people who know the cutting

519
00:29:43,720 --> 00:29:46,200
Speaker 1: edge of entertainment, you know, the cutting edge of law,

520
00:29:46,200 --> 00:29:48,120
Speaker 1: and the cutting edge of politics, now the cutting edge

521
00:29:48,120 --> 00:29:52,280
Speaker 1: of technology. These conversations should be had, and you know,

522
00:29:52,360 --> 00:29:53,840
Speaker 1: I just appreciate I don't get a chance to talk

523
00:29:53,840 --> 00:29:55,640
Speaker 1: about this stuff on CNN. And by the time we

524
00:29:55,680 --> 00:29:57,560
Speaker 1: get finished talking about the news of the day and

525
00:29:57,600 --> 00:29:59,840
Speaker 1: selling as, I got to go back in my uber

526
00:29:59,880 --> 00:30:01,680
Speaker 1: and go back home. And I have so many things

527
00:30:01,720 --> 00:30:04,360
Speaker 1: on my heart and my mind to say. And you

528
00:30:04,720 --> 00:30:07,680
Speaker 1: you creating this type of a platform. I think that

529
00:30:07,760 --> 00:30:11,440
Speaker 1: people rise to the level of the conversations that leaders

530
00:30:11,480 --> 00:30:14,560
Speaker 1: like you allow. When Doctor King was around, you know,

531
00:30:14,800 --> 00:30:17,920
Speaker 1: people rose to that level of conversation. You take away

532
00:30:18,480 --> 00:30:20,760
Speaker 1: that kind of presence and people go back down. Now

533
00:30:20,760 --> 00:30:25,040
Speaker 1: here you are on this new platform. You did radio,

534
00:30:25,400 --> 00:30:28,680
Speaker 1: you did theater, you did television, now you're doing podcasts.

535
00:30:29,040 --> 00:30:31,200
Speaker 1: I just appreciate having a chance to talk about this stuff.

536
00:30:31,360 --> 00:30:34,040
Speaker 3: I think it's wonderful. One of the reasons I'm doing

537
00:30:34,120 --> 00:30:35,840
Speaker 3: it is because I couldn't do it from the pulpit.

538
00:30:36,320 --> 00:30:38,640
Speaker 3: And I think there are very current issues that we

539
00:30:38,720 --> 00:30:41,120
Speaker 3: need to gropple with. I think we need to gropple

540
00:30:41,160 --> 00:30:45,320
Speaker 3: with the fact that our artificial intelligence is having communication

541
00:30:45,760 --> 00:30:48,920
Speaker 3: that we did not initiate amongst its sales and making

542
00:30:49,000 --> 00:30:52,920
Speaker 3: decisions and protecting itself, which means it is more than

543
00:30:52,920 --> 00:30:56,560
Speaker 3: a machine. It has a will, It has an attitude,

544
00:30:56,680 --> 00:30:59,400
Speaker 3: It makes decisions on its own. All of that makes

545
00:30:59,400 --> 00:31:02,240
Speaker 3: me uncomfort. The fact that we had not come up

546
00:31:02,240 --> 00:31:07,640
Speaker 3: with laws to regulate the most simple forms of the

547
00:31:07,720 --> 00:31:13,120
Speaker 3: World Wide Web. Yes, we're so far behind now in guardrails.

548
00:31:13,480 --> 00:31:16,720
Speaker 3: That gives some stipulations as to what is and is

549
00:31:16,800 --> 00:31:20,560
Speaker 3: not allowed. I think the baby's already out of the bottle.

550
00:31:20,920 --> 00:31:23,520
Speaker 2: Yea, it could be. Here's the thing I don't know.

551
00:31:25,840 --> 00:31:30,720
Speaker 1: I can't see everything that's relevant when it comes to technology.

552
00:31:31,480 --> 00:31:33,720
Speaker 1: I'm from an era where, well, it was most relevant

553
00:31:33,760 --> 00:31:36,200
Speaker 1: was politics. What is the president going to do? What's

554
00:31:36,200 --> 00:31:38,080
Speaker 1: the government going to do? What we're going to march about,

555
00:31:38,120 --> 00:31:39,800
Speaker 1: what we're going to protest about, We're going to organize?

556
00:31:39,800 --> 00:31:41,520
Speaker 1: Its going to organize that. Because the things that were

557
00:31:41,520 --> 00:31:44,640
Speaker 1: most important to me were in the public domain, and

558
00:31:44,680 --> 00:31:50,240
Speaker 1: so all of my muscle memory is around. I can

559
00:31:50,320 --> 00:31:53,640
Speaker 1: find the facts, go library, make a phone call, and

560
00:31:53,680 --> 00:31:56,680
Speaker 1: then I can take effective action. This is the first

561
00:31:56,680 --> 00:31:59,560
Speaker 1: time in my life I can't see all the facts.

562
00:32:00,120 --> 00:32:02,320
Speaker 1: These companies have trillions of dollars and they're doing stuff.

563
00:32:02,320 --> 00:32:04,800
Speaker 1: It's such a great to speed that as a citizen,

564
00:32:05,280 --> 00:32:07,000
Speaker 1: I don't have all the facts, and I don't know

565
00:32:07,040 --> 00:32:09,320
Speaker 1: what action I can take that is going to be effective.

566
00:32:09,640 --> 00:32:11,520
Speaker 1: And so that's why I'm so proud that John Hope

567
00:32:11,520 --> 00:32:15,280
Speaker 1: Brien has launched Hope AI. He is taking such a

568
00:32:15,360 --> 00:32:19,640
Speaker 1: powerful role in saying, look, I'm not going to allow

569
00:32:20,040 --> 00:32:22,480
Speaker 1: the AI companies to run off this way and have

570
00:32:22,920 --> 00:32:26,680
Speaker 1: our communities just sink into depression. He launched something called

571
00:32:26,760 --> 00:32:30,480
Speaker 1: Hope AI where he's getting the boys and girls clubs,

572
00:32:31,040 --> 00:32:33,280
Speaker 1: all these different groups that have reached into our communities

573
00:32:33,320 --> 00:32:36,120
Speaker 1: but they don't know the information yet. And he's been

574
00:32:36,200 --> 00:32:38,120
Speaker 1: reaching out to the technology companies says, we've got to

575
00:32:38,120 --> 00:32:40,080
Speaker 1: come to the table and I think of what you're

576
00:32:40,080 --> 00:32:42,000
Speaker 1: going to see through Hope AI and John Hope Brian

577
00:32:42,120 --> 00:32:46,800
Speaker 1: is an empowering of our folks to the community level

578
00:32:46,880 --> 00:32:49,440
Speaker 1: to understand what's going on and then to begin to

579
00:32:49,680 --> 00:32:54,600
Speaker 1: talk out of that something will emerge. We are pre something.

580
00:32:55,320 --> 00:32:57,680
Speaker 1: There's something that will emerge. You have too many parents

581
00:32:57,720 --> 00:32:59,880
Speaker 1: that are looking at these devices and watching what's happened

582
00:32:59,880 --> 00:33:02,680
Speaker 1: to children. They don't like the depression, they don't like

583
00:33:02,680 --> 00:33:04,800
Speaker 1: the body dysmorphia. They don't like the fact that you

584
00:33:04,880 --> 00:33:06,800
Speaker 1: try and take the thing away. The child cries and

585
00:33:06,840 --> 00:33:09,360
Speaker 1: screams as a crazy person. They are going to have

586
00:33:09,440 --> 00:33:11,680
Speaker 1: their voice. There are too many people that don't like

587
00:33:11,760 --> 00:33:15,400
Speaker 1: the fact that you have Russia and China and Iran

588
00:33:16,080 --> 00:33:18,520
Speaker 1: all up in our elections through these devices and nobody's

589
00:33:18,840 --> 00:33:19,560
Speaker 1: anything about it.

590
00:33:19,800 --> 00:33:21,080
Speaker 2: They will be heard you.

591
00:33:21,320 --> 00:33:24,479
Speaker 1: So right now it looks like it's all machines up

592
00:33:24,520 --> 00:33:26,000
Speaker 1: here and the people just down here.

593
00:33:26,120 --> 00:33:27,080
Speaker 2: That won't last.

594
00:33:27,320 --> 00:33:30,280
Speaker 1: Something will rise up, and then we'll be talking about

595
00:33:30,320 --> 00:33:33,680
Speaker 1: the movement now that's rising up to get AI under control,

596
00:33:34,000 --> 00:33:36,040
Speaker 1: to get social media out of the hands of babies,

597
00:33:36,200 --> 00:33:37,920
Speaker 1: to do these things, and then we'll have somebody to

598
00:33:37,960 --> 00:33:40,400
Speaker 1: talk about. But right now we're in the shock and

599
00:33:40,480 --> 00:33:42,880
Speaker 1: awe of this new technology.

600
00:33:42,320 --> 00:33:45,240
Speaker 3: And it's happening so fast and fast and so rapidly.

601
00:33:45,360 --> 00:33:47,560
Speaker 3: I am not against A. I want to be sure

602
00:33:47,600 --> 00:33:49,560
Speaker 3: that I cleared that up. Yeah, I would be dead

603
00:33:49,560 --> 00:33:52,120
Speaker 3: if it wasn't for AI. I had a heart attack.

604
00:33:53,560 --> 00:33:57,160
Speaker 3: It was artificial intelligence that went in through my vein

605
00:33:57,400 --> 00:33:59,800
Speaker 3: all the way up to my heart and healed my

606
00:34:00,080 --> 00:34:02,920
Speaker 3: hard and put two stints in my heart. And I

607
00:34:02,960 --> 00:34:05,719
Speaker 3: don't have a scratch on my chest anywhere where it's

608
00:34:05,800 --> 00:34:07,920
Speaker 3: used to be. They would have to break my ribcage

609
00:34:08,239 --> 00:34:10,719
Speaker 3: and take the heart out and do all that. None

610
00:34:10,719 --> 00:34:13,000
Speaker 3: of that. I left there with the band aid over

611
00:34:13,080 --> 00:34:16,279
Speaker 3: my wrists. So it can definitely be used for good.

612
00:34:16,600 --> 00:34:20,879
Speaker 3: It can definitely be used to expedict cures for diseases

613
00:34:20,960 --> 00:34:25,879
Speaker 3: and all sorts of positive, wonderful things. But I'm just

614
00:34:25,920 --> 00:34:29,640
Speaker 3: afraid that nobody's at the wheel. The car is great,

615
00:34:29,760 --> 00:34:31,240
Speaker 3: but there's nobody driving.

616
00:34:31,360 --> 00:34:33,680
Speaker 2: The car's going faster.

617
00:34:34,200 --> 00:34:35,320
Speaker 3: Yeah, it keeps going faster.

618
00:34:35,719 --> 00:34:36,960
Speaker 2: That's called that's called away mom.

619
00:34:37,239 --> 00:34:40,520
Speaker 3: Yeah, drive cars.

620
00:34:41,000 --> 00:34:44,319
Speaker 2: Nobody at the wheel. Yeah, but I agree with you.

621
00:34:44,400 --> 00:34:49,640
Speaker 2: I My concern is a society that all data, no wisdom.

622
00:34:49,760 --> 00:34:52,560
Speaker 2: You're right, all data no wisdom.

623
00:34:52,680 --> 00:34:54,680
Speaker 3: Yeah, that's a big deal.

624
00:34:54,800 --> 00:34:56,279
Speaker 1: Part part of what this and that's part of why

625
00:34:56,440 --> 00:34:57,799
Speaker 1: I'm doing what I'm doing. And you know, I'm a

626
00:34:57,800 --> 00:35:01,799
Speaker 1: part of something called dreammachine dot org and we're having

627
00:35:01,800 --> 00:35:03,759
Speaker 1: a lot of these conversations. I always give I was

628
00:35:03,760 --> 00:35:06,000
Speaker 1: going to give John ho'brien his credit with Hope AI

629
00:35:06,120 --> 00:35:08,480
Speaker 1: because he's trying to get everybody together. We have a

630
00:35:08,560 --> 00:35:10,759
Speaker 1: smaller group of people that think my ideas are hearing

631
00:35:11,000 --> 00:35:13,440
Speaker 1: is coming from a smaller group of people at dreammachine

632
00:35:13,440 --> 00:35:15,680
Speaker 1: dot org. We're trying to figure out even one of

633
00:35:15,719 --> 00:35:18,600
Speaker 1: the right questions before you get the right answers, were

634
00:35:18,640 --> 00:35:20,960
Speaker 1: the right questions, So you can go to dreammachine dot

635
00:35:21,040 --> 00:35:22,040
Speaker 1: org and learn more about that.

636
00:35:22,520 --> 00:35:28,919
Speaker 3: You know, so our preature you several years ago with dreads, Yes, sir, okay, yes?

637
00:35:29,280 --> 00:35:32,880
Speaker 3: How much? Did you cut them because you were tired

638
00:35:32,880 --> 00:35:35,640
Speaker 3: of them? Or did you cut them because it was

639
00:35:35,680 --> 00:35:37,320
Speaker 3: required to be taken seriously?

640
00:35:37,920 --> 00:35:40,719
Speaker 1: I cut him because I was going bald and I

641
00:35:40,760 --> 00:35:45,160
Speaker 1: looked like Bozo the dread Man, ball Spot and Dredsick.

642
00:35:45,480 --> 00:35:52,719
Speaker 2: I answer, that is so funny, so funny. No, I

643
00:35:52,719 --> 00:35:53,359
Speaker 2: would have kept them.

644
00:35:53,360 --> 00:35:55,759
Speaker 1: I would have kept them because I want to tell you,

645
00:35:55,800 --> 00:35:59,120
Speaker 1: nobody ever asked me about my dreads before I want

646
00:35:59,120 --> 00:36:03,200
Speaker 1: to you know, literally nobody. Nobody's ever asked me the question.

647
00:36:03,920 --> 00:36:05,239
Speaker 1: The first question is why I have him in the

648
00:36:05,280 --> 00:36:10,640
Speaker 1: first place. When I was going to Yale from University

649
00:36:10,680 --> 00:36:13,080
Speaker 1: Tennessee at Martin, where I got a fantastic education, I

650
00:36:13,160 --> 00:36:15,920
Speaker 1: just didn't have all the fancy words to go with it. Frankly,

651
00:36:15,960 --> 00:36:17,640
Speaker 1: most of what I learned I learned how to do

652
00:36:17,719 --> 00:36:21,160
Speaker 1: at University of Tennessee at Martin Communications program. So I

653
00:36:21,160 --> 00:36:23,920
Speaker 1: give them their credit. But I was concerned that I

654
00:36:23,960 --> 00:36:25,360
Speaker 1: was going to get sucked up into a system I

655
00:36:25,360 --> 00:36:28,040
Speaker 1: didn't understand, and I was going to law school to

656
00:36:28,040 --> 00:36:30,920
Speaker 1: help black people. I wanted to be a civil rights lawyer.

657
00:36:30,920 --> 00:36:32,920
Speaker 1: I wanted to be a poverty lawyer. And I was

658
00:36:32,960 --> 00:36:34,239
Speaker 1: afraid I was going to get to Yale and I

659
00:36:34,239 --> 00:36:38,160
Speaker 1: would be turned into something different. This is nineteen ninety.

660
00:36:38,320 --> 00:36:41,359
Speaker 1: So I grew my hair out that summer before I went.

661
00:36:41,480 --> 00:36:45,200
Speaker 1: I twisted my hair into dreads because I said to myself,

662
00:36:46,000 --> 00:36:48,080
Speaker 1: the corporations will not take me in sas in nineteen

663
00:36:48,120 --> 00:36:50,759
Speaker 1: ninety as a young black dude with dreads. It's a

664
00:36:50,840 --> 00:36:53,360
Speaker 1: complete from no fly zone. So in order for me

665
00:36:53,400 --> 00:36:55,399
Speaker 1: to have to make that decision that didn't go work

666
00:36:55,440 --> 00:36:57,560
Speaker 1: for corporate America, I have to go into a barbershop

667
00:36:57,880 --> 00:36:59,520
Speaker 1: and tell a black man to cut my hair.

668
00:37:00,040 --> 00:37:02,359
Speaker 2: I want to slide in. I wanted to be a hard,

669
00:37:02,400 --> 00:37:03,120
Speaker 2: firm decision.

670
00:37:03,640 --> 00:37:06,759
Speaker 1: So I was using that as a statement of trying

671
00:37:06,800 --> 00:37:10,319
Speaker 1: to remind myself what I was there for. Now they

672
00:37:10,360 --> 00:37:12,160
Speaker 1: did save me, because by the time I got the

673
00:37:12,200 --> 00:37:13,120
Speaker 1: second semester, I'm.

674
00:37:12,960 --> 00:37:17,520
Speaker 2: Like, what am I doing make all this money? My pride?

675
00:37:18,120 --> 00:37:18,520
Speaker 3: I couldn't.

676
00:37:18,560 --> 00:37:21,080
Speaker 2: I couldn't cut my hair. So so my my dreads did.

677
00:37:20,960 --> 00:37:22,840
Speaker 1: Save me then that you know, when I got and

678
00:37:23,440 --> 00:37:25,440
Speaker 1: there's a famous little video going around when I was

679
00:37:25,480 --> 00:37:28,200
Speaker 1: young actions with the dreads, But I would.

680
00:37:28,040 --> 00:37:28,720
Speaker 2: Have kept them.

681
00:37:29,360 --> 00:37:32,479
Speaker 1: It was it was very grounding for me to have

682
00:37:32,640 --> 00:37:35,200
Speaker 1: that cultural statement, and I would like to think that

683
00:37:35,239 --> 00:37:37,319
Speaker 1: I would somehow have been able to push through. But

684
00:37:38,320 --> 00:37:47,280
Speaker 1: male pattern, bald, this is real. I'm not looking cute, clown.

685
00:37:48,880 --> 00:37:50,080
Speaker 1: I had to shave them all.

686
00:37:51,960 --> 00:37:59,880
Speaker 3: Static exactly. Chapter number six. Financial literacy. You know, when

687
00:38:00,000 --> 00:38:06,319
Speaker 3: when you look at transactions being made through XRP blockchain,

688
00:38:06,440 --> 00:38:09,160
Speaker 3: all the new things that are coming out and people

689
00:38:09,280 --> 00:38:13,920
Speaker 3: are now purchasing, we were just beginning to get financial

690
00:38:14,000 --> 00:38:21,960
Speaker 3: literacy for CDs and CDFIs, all those just beginning to

691
00:38:22,000 --> 00:38:27,120
Speaker 3: get just a smithering of intellectualism about finances, and now

692
00:38:27,640 --> 00:38:31,799
Speaker 3: everything we were fighting to teach us now obsolete. Do

693
00:38:31,880 --> 00:38:35,040
Speaker 3: you think that I'm not worried about the children, because

694
00:38:35,120 --> 00:38:36,759
Speaker 3: children are going to grow up with it. It's going

695
00:38:36,800 --> 00:38:38,880
Speaker 3: to be quite natural for them. But for those of

696
00:38:38,960 --> 00:38:41,200
Speaker 3: us who are in the middle of our lives, it's

697
00:38:41,239 --> 00:38:43,240
Speaker 3: kind of hard to teach a new dog new tricks

698
00:38:43,520 --> 00:38:46,600
Speaker 3: and not knowing those tricks may affect whether I can

699
00:38:46,640 --> 00:38:49,680
Speaker 3: buy my own home, whether I can buy my own car,

700
00:38:49,760 --> 00:38:55,560
Speaker 3: whether I can leverage the income from the insurance universal

701
00:38:55,600 --> 00:39:00,400
Speaker 3: insurance to get capital. The ways of handling resources have

702
00:39:00,640 --> 00:39:04,960
Speaker 3: completely changed, and I don't know that I'm seeing a

703
00:39:04,960 --> 00:39:08,680
Speaker 3: lot of people out here who are really talking about

704
00:39:08,760 --> 00:39:12,439
Speaker 3: financial literacy as it is today, which is changing week

705
00:39:12,480 --> 00:39:13,000
Speaker 3: to week.

706
00:39:13,400 --> 00:39:17,120
Speaker 1: Yes, but see you're more cutting edge than you realize.

707
00:39:17,560 --> 00:39:20,120
Speaker 1: I mean, so the best way to think about it

708
00:39:20,200 --> 00:39:24,400
Speaker 1: is a new financial class. You know, it's a new class.

709
00:39:25,520 --> 00:39:29,759
Speaker 1: Approach it with caution and interest. You're correct that some

710
00:39:29,840 --> 00:39:31,960
Speaker 1: of the ways that even the old stuff goes, it's

711
00:39:32,000 --> 00:39:33,960
Speaker 1: going to go faster. The AI is going to be used,

712
00:39:34,040 --> 00:39:36,600
Speaker 1: I hope, frankly to speed up some of the decision

713
00:39:36,600 --> 00:39:39,520
Speaker 1: making and clarify stuff. But you know, findamently when you're

714
00:39:39,520 --> 00:39:44,880
Speaker 1: talking about you know, crypto assets, don't go crazy. You

715
00:39:44,920 --> 00:39:48,200
Speaker 1: want your stocks, you want your bonds, you want your

716
00:39:48,320 --> 00:39:51,600
Speaker 1: cash savings, you want your real estate, you want your enterprise,

717
00:39:52,680 --> 00:39:56,560
Speaker 1: your equity advising, and you want some crypto assets. Don't

718
00:39:56,600 --> 00:40:00,000
Speaker 1: go nuts and put everything into any one asset class.

719
00:40:03,080 --> 00:40:06,360
Speaker 1: I mean, just so so and then just like you know,

720
00:40:06,400 --> 00:40:08,440
Speaker 1: it took us the minute to learn the real estate game.

721
00:40:08,480 --> 00:40:11,319
Speaker 1: It took us the minute to learn the equity game.

722
00:40:11,640 --> 00:40:17,000
Speaker 1: It'll take a minute, but most people are I mean,

723
00:40:17,040 --> 00:40:18,720
Speaker 1: you talk to a lot of early adopters, just because

724
00:40:18,920 --> 00:40:20,680
Speaker 1: you run with circles of people who are at the

725
00:40:20,680 --> 00:40:25,200
Speaker 1: bleeding edge of everything. It takes a while for the

726
00:40:25,400 --> 00:40:27,480
Speaker 1: for the train to pass, all for for every car

727
00:40:27,480 --> 00:40:29,520
Speaker 1: on the train to pass the station, and there's the

728
00:40:29,840 --> 00:40:32,480
Speaker 1: and there's time and looks it's Some of these things

729
00:40:32,680 --> 00:40:35,120
Speaker 1: will prove to be helpful, and some will prove to

730
00:40:35,160 --> 00:40:38,560
Speaker 1: be scammed. Some will prove to be well designed, some

731
00:40:38,640 --> 00:40:41,920
Speaker 1: will prove to be poorly designed and poorly considered. I

732
00:40:41,920 --> 00:40:44,080
Speaker 1: think as long as people are putting a toe in,

733
00:40:44,560 --> 00:40:47,000
Speaker 1: get a coin base account or whatever, and just began

734
00:40:47,080 --> 00:40:50,719
Speaker 1: to experiment, listen to a few podcasts, then it'll just

735
00:40:50,760 --> 00:40:54,919
Speaker 1: it's as soon this will just be another another part

736
00:40:55,040 --> 00:40:57,880
Speaker 1: of a well managed portfolio. I don't think in the

737
00:40:57,920 --> 00:40:59,640
Speaker 1: near turn talking about the next three, four or five

738
00:40:59,719 --> 00:41:01,880
Speaker 1: years and your terment is going to overrun everything and

739
00:41:01,880 --> 00:41:04,239
Speaker 1: we're all going to be left out. I just I

740
00:41:04,239 --> 00:41:06,200
Speaker 1: hear people saying that, I just don't see it that one.

741
00:41:06,760 --> 00:41:09,279
Speaker 3: I think that it's very very important that we have

742
00:41:09,400 --> 00:41:13,200
Speaker 3: these kinds of conversations and begin to start the dialogue

743
00:41:13,239 --> 00:41:16,040
Speaker 3: and to plant the seed pot into the minds of people.

744
00:41:16,080 --> 00:41:20,120
Speaker 3: That's very, very important, whether you're talking about a state planning,

745
00:41:20,840 --> 00:41:23,920
Speaker 3: whether you're talking about whether you set up a trust

746
00:41:24,080 --> 00:41:27,920
Speaker 3: or not. You know, many of our celebrity tail don't

747
00:41:27,960 --> 00:41:28,720
Speaker 3: even have will.

748
00:41:28,880 --> 00:41:32,239
Speaker 1: Yes, Prince, you know, my beloved prince. You know he

749
00:41:32,320 --> 00:41:34,560
Speaker 1: died without a will and turned into into a big disaster.

750
00:41:34,800 --> 00:41:37,399
Speaker 1: Here's the only scenario, since you know, like I can't

751
00:41:37,400 --> 00:41:40,200
Speaker 1: get away with nothing with you, here's the only sal

752
00:41:40,719 --> 00:41:47,360
Speaker 1: that I think is worth pondering. If the actions of

753
00:41:47,440 --> 00:41:54,319
Speaker 1: the President continue to risk debasing the dollar such that

754
00:41:54,600 --> 00:41:57,840
Speaker 1: country say this is too crazy and I'm no longer

755
00:41:57,880 --> 00:42:01,240
Speaker 1: going to have the dollar be the way world reserve currency.

756
00:42:04,040 --> 00:42:06,680
Speaker 1: Now you're starting to be in a different scenario. Let

757
00:42:06,719 --> 00:42:09,080
Speaker 1: me just explain what that would be. Right now, you

758
00:42:09,160 --> 00:42:10,920
Speaker 1: got your life, no matter who you are in the

759
00:42:10,960 --> 00:42:13,120
Speaker 1: United States, your life is about thirty percent better than

760
00:42:13,120 --> 00:42:15,960
Speaker 1: it would be because everybody used the dollar around the world.

761
00:42:16,840 --> 00:42:19,000
Speaker 1: That gives you a lot of power that you don't

762
00:42:19,000 --> 00:42:23,960
Speaker 1: even realize that you have. And the petro dollar in particular,

763
00:42:24,719 --> 00:42:28,200
Speaker 1: all oil is traded in the dollar. If at some

764
00:42:28,400 --> 00:42:31,200
Speaker 1: point the world gets tired of these terrafts, and these

765
00:42:31,239 --> 00:42:33,640
Speaker 1: sanctions and these terrafts and these sanctions says, you know what,

766
00:42:33,680 --> 00:42:35,920
Speaker 1: this is just too much. We're now going to switch

767
00:42:35,960 --> 00:42:39,520
Speaker 1: to bitcoin, or we're going to switch to the Chinese.

768
00:42:39,640 --> 00:42:42,400
Speaker 2: Want you want? You then pulled a.

769
00:42:42,520 --> 00:42:44,760
Speaker 1: Rug out from under about thirty percent of your value,

770
00:42:45,520 --> 00:42:47,040
Speaker 1: and you thought you had a hundred dollars down, you

771
00:42:47,080 --> 00:42:49,319
Speaker 1: got seventy. That's basically what it would functionally work out

772
00:42:49,360 --> 00:42:52,880
Speaker 1: you for you that this is this is I'm talking

773
00:42:53,239 --> 00:42:56,759
Speaker 1: back in the envelope, you know, just barbershop talk. Some

774
00:42:56,800 --> 00:42:59,400
Speaker 1: people are very concerned about that scenario and they're seeing

775
00:42:59,440 --> 00:43:02,000
Speaker 1: bitcoin as a hedge. Now you need to talk to

776
00:43:02,040 --> 00:43:05,080
Speaker 1: your financial advisory about that. I think that scenario is

777
00:43:05,160 --> 00:43:07,960
Speaker 1: more likely than it should be, but still highly unlikely,

778
00:43:08,560 --> 00:43:10,640
Speaker 1: but you do have to before you never have to

779
00:43:10,640 --> 00:43:12,799
Speaker 1: worry about the dollar. These are of course, the dollar

780
00:43:12,880 --> 00:43:14,400
Speaker 1: is going to be the world reserve currency. What else

781
00:43:14,400 --> 00:43:16,680
Speaker 1: would be the warldwars of currency. There is a world

782
00:43:16,680 --> 00:43:19,440
Speaker 1: where bitcoin becomes a world reserve currency, and people who

783
00:43:19,480 --> 00:43:22,440
Speaker 1: have their money denominated and bitcoin become a lot richer.

784
00:43:22,600 --> 00:43:24,560
Speaker 1: And if your money's and dollars, you become a lot poor.

785
00:43:24,960 --> 00:43:27,440
Speaker 1: That's a scenario that's driving a lot of this conversation.

786
00:43:27,840 --> 00:43:30,240
Speaker 1: But I think it's somewhat alarmist. I don't think anybody

787
00:43:30,280 --> 00:43:33,040
Speaker 1: should make any serious decisions without talking to their financial advisor.

788
00:43:33,160 --> 00:43:35,560
Speaker 3: So you think that a lot of the companies that

789
00:43:35,719 --> 00:43:38,839
Speaker 3: countries that are getting away from using the dollar as

790
00:43:38,880 --> 00:43:43,359
Speaker 3: a as a baseline are going to flood the.

791
00:43:42,520 --> 00:43:44,880
Speaker 1: They could go Bitcoin, they could, They're probably not going

792
00:43:44,920 --> 00:43:48,520
Speaker 1: to go euro they could bricks. Well, the bricks that

793
00:43:48,560 --> 00:43:51,239
Speaker 1: that's this is what this is the scenario that you

794
00:43:51,320 --> 00:43:55,360
Speaker 1: already have the bricks, which is Brazil, Russia, India, China

795
00:43:55,360 --> 00:43:58,760
Speaker 1: and South Africa that already do not like what's happening

796
00:43:58,800 --> 00:44:01,560
Speaker 1: with the dollar. They've been building for a while. They

797
00:44:01,640 --> 00:44:04,200
Speaker 1: just added a bunch of other countries. At some point

798
00:44:04,239 --> 00:44:06,520
Speaker 1: they will make a move. The question is they are

799
00:44:06,600 --> 00:44:08,200
Speaker 1: only to hold them back. They would love to leave

800
00:44:08,239 --> 00:44:10,400
Speaker 1: the dollar. They don't know where to go to. So

801
00:44:11,000 --> 00:44:12,720
Speaker 1: is it going to be the Chinese?

802
00:44:12,800 --> 00:44:13,080
Speaker 3: You want?

803
00:44:13,120 --> 00:44:15,240
Speaker 1: What's it going to be? So the only thing holding

804
00:44:15,280 --> 00:44:17,279
Speaker 1: up most of the world from leaving the dollar is

805
00:44:17,280 --> 00:44:19,040
Speaker 1: they ain't got no place to go. The same reason

806
00:44:19,040 --> 00:44:21,040
Speaker 1: your thirteen year old hasn't moved out yet. They have

807
00:44:21,120 --> 00:44:24,560
Speaker 1: no house to move into right basically. But at some

808
00:44:24,560 --> 00:44:26,239
Speaker 1: point they've become eighteen, they can get their own house.

809
00:44:26,320 --> 00:44:29,000
Speaker 3: I'm definitely no expert on this subject. I'm just asking

810
00:44:29,080 --> 00:44:33,000
Speaker 3: you questions. Yeah, if the market floods back with all

811
00:44:33,040 --> 00:44:36,080
Speaker 3: of those dollars that other countries are giving back because

812
00:44:36,120 --> 00:44:39,560
Speaker 3: they have found some way around the process, will that

813
00:44:39,880 --> 00:44:42,920
Speaker 3: further sink the value of the dollar, because the dollar

814
00:44:42,960 --> 00:44:46,920
Speaker 3: is already sinking in value below what it's ever been

815
00:44:46,960 --> 00:44:47,840
Speaker 3: in my lifetime.

816
00:44:48,360 --> 00:44:50,960
Speaker 1: Look, I mean, you see what's happening. I mean, you

817
00:44:51,000 --> 00:44:53,319
Speaker 1: see what you see the inflation, you see the turbulence.

818
00:44:53,320 --> 00:44:54,959
Speaker 1: You know, So that's just a reason.

819
00:44:55,640 --> 00:44:59,360
Speaker 3: So what saves us going to is it? The President

820
00:44:59,800 --> 00:45:01,719
Speaker 3: is Congress? Who I mean?

821
00:45:01,920 --> 00:45:04,040
Speaker 1: I think I think it's hard to get trust back.

822
00:45:04,080 --> 00:45:06,000
Speaker 1: Look if you if you're going out with somebody and

823
00:45:06,040 --> 00:45:09,080
Speaker 1: they mess up, they mess around on you, and then

824
00:45:09,200 --> 00:45:12,000
Speaker 1: you take them back and they mess around on you again,

825
00:45:12,800 --> 00:45:15,319
Speaker 1: it's hard to come back the third time. And I

826
00:45:15,320 --> 00:45:17,520
Speaker 1: think that there's something for some people. And this is

827
00:45:17,560 --> 00:45:19,719
Speaker 1: not trying to be political. I know people on both

828
00:45:19,719 --> 00:45:22,239
Speaker 1: sides of the part of that, I love you, but

829
00:45:22,280 --> 00:45:26,799
Speaker 1: there are people who feel that America giving Trump a

830
00:45:26,880 --> 00:45:29,920
Speaker 1: chance the first time, that was the first affair. Then

831
00:45:29,960 --> 00:45:32,320
Speaker 1: you came back to your census with a better choice,

832
00:45:32,440 --> 00:45:34,000
Speaker 1: and then you went right back to the same thing.

833
00:45:34,320 --> 00:45:36,440
Speaker 1: So some people like they want to be out of

834
00:45:36,480 --> 00:45:39,239
Speaker 1: this relationship with America. They feel America has been too

835
00:45:39,360 --> 00:45:42,040
Speaker 1: erratic with sanctions in tarists. They don't think that we've

836
00:45:42,080 --> 00:45:45,080
Speaker 1: been a good steward of the global the world currency,

837
00:45:45,080 --> 00:45:47,319
Speaker 1: and they want to be out. And you can say

838
00:45:47,320 --> 00:45:49,360
Speaker 1: they're right or they're wrong, but that is a sentiment

839
00:45:49,440 --> 00:45:53,320
Speaker 1: I hear growing around the world. And so if you

840
00:45:53,480 --> 00:45:55,600
Speaker 1: get a new president, or the president changes his mind,

841
00:45:56,040 --> 00:45:57,680
Speaker 1: and you get a new Congress, it's still may be

842
00:45:57,800 --> 00:46:01,240
Speaker 1: a decade before people say, okay, I can now trust

843
00:46:01,600 --> 00:46:03,920
Speaker 1: that this is not going to become a roller coaster

844
00:46:04,000 --> 00:46:04,239
Speaker 1: for me.

845
00:46:04,760 --> 00:46:06,960
Speaker 2: Look, you know, you know our worst enemy in the

846
00:46:07,000 --> 00:46:07,640
Speaker 2: world right now.

847
00:46:08,239 --> 00:46:13,000
Speaker 1: Canada had no problem with Canada, right they won't even

848
00:46:13,040 --> 00:46:14,879
Speaker 1: come and visit the United States.

849
00:46:14,920 --> 00:46:16,560
Speaker 2: Now they're so mad about the tariffs.

850
00:46:17,000 --> 00:46:19,840
Speaker 1: They you go up to Canada, now you almost have

851
00:46:19,920 --> 00:46:22,640
Speaker 1: to pretend you're from from from from London.

852
00:46:22,600 --> 00:46:25,840
Speaker 3: Because anybody considered the fact that we lost more money

853
00:46:25,840 --> 00:46:26,439
Speaker 3: than we made.

854
00:46:27,160 --> 00:46:30,799
Speaker 1: Look, this is so far as not working out very well,

855
00:46:30,960 --> 00:46:33,319
Speaker 1: not working out in our favor at all, I mean

856
00:46:33,400 --> 00:46:36,239
Speaker 1: dollar for dollar, if we had left things the way

857
00:46:36,280 --> 00:46:39,120
Speaker 1: they were, we made more on tourism, then we're made

858
00:46:39,560 --> 00:46:41,960
Speaker 1: in tariffs and nobody seems to pay attention to it,

859
00:46:42,400 --> 00:46:45,600
Speaker 1: and our poor farmers are getting flushing on toy. So listen,

860
00:46:46,160 --> 00:46:49,080
Speaker 1: these are turbulent times. I think to focus on what

861
00:46:49,120 --> 00:46:53,319
Speaker 1: we can focus on. I think this is the time

862
00:46:53,320 --> 00:46:56,200
Speaker 1: for people to focus on their health and their wealth.

863
00:46:57,160 --> 00:46:59,359
Speaker 1: What can we do to be healthier, what can we

864
00:46:59,400 --> 00:47:03,200
Speaker 1: do to aren to save more money? And be prepared.

865
00:47:04,160 --> 00:47:06,520
Speaker 1: It's hard to plan right now because its turbulent, but

866
00:47:06,600 --> 00:47:07,440
Speaker 1: you can be prepared.

867
00:47:07,480 --> 00:47:08,040
Speaker 2: That's different.

868
00:47:08,400 --> 00:47:11,000
Speaker 1: Planning means I know what's going to happen. Because I

869
00:47:11,040 --> 00:47:14,120
Speaker 1: have enough control over my external circumstances, I can then

870
00:47:14,200 --> 00:47:15,719
Speaker 1: dictate what my path will be.

871
00:47:16,080 --> 00:47:21,319
Speaker 3: Chapter number seven, Human Hate. I want to spend the

872
00:47:21,360 --> 00:47:24,040
Speaker 3: last ten minutes talking to you about another kind of

873
00:47:24,080 --> 00:47:26,560
Speaker 3: capital that you are deeply involved in. A lot of

874
00:47:26,560 --> 00:47:29,960
Speaker 3: people don't know because you were buying scenes human capital.

875
00:47:30,760 --> 00:47:34,000
Speaker 3: You are very involved in trying to get us to

876
00:47:34,200 --> 00:47:37,480
Speaker 3: understand that there's more to unite us than there is

877
00:47:37,520 --> 00:47:39,520
Speaker 3: to divide us. Yes, sir, and you and I have

878
00:47:39,600 --> 00:47:42,879
Speaker 3: been on many panels and had many discussions whether we're

879
00:47:42,920 --> 00:47:48,480
Speaker 3: talking with fighting anti Semitic statements of whether we're fighting

880
00:47:49,400 --> 00:47:54,480
Speaker 3: any other kind of statements, racial statements. Hate in general

881
00:47:55,280 --> 00:48:00,520
Speaker 3: has become pervasive in our society, our Latino brothers, sisters

882
00:48:00,880 --> 00:48:05,040
Speaker 3: is to become provacial even generationally within racist serious hate

883
00:48:05,080 --> 00:48:09,000
Speaker 3: even in families between mothers and daughters and fathers and sons.

884
00:48:09,360 --> 00:48:14,080
Speaker 3: The hate is is is pandemic. Yes, okay, I know

885
00:48:14,120 --> 00:48:16,880
Speaker 3: you're doing all you can to try to be a bridge.

886
00:48:17,400 --> 00:48:19,560
Speaker 3: I'm doing all that I can to try to be

887
00:48:19,600 --> 00:48:22,440
Speaker 3: a bridge. What do you think next steps are to

888
00:48:22,520 --> 00:48:27,319
Speaker 3: bring back the equity of human intelligence? And because if

889
00:48:27,320 --> 00:48:31,879
Speaker 3: we can fix human intelligence, the artificial intelligence intelligence will

890
00:48:31,920 --> 00:48:34,120
Speaker 3: be a whole lot easier to repair.

891
00:48:34,440 --> 00:48:38,200
Speaker 1: Well, look, I am I've always been a solidarity guy,

892
00:48:38,880 --> 00:48:42,239
Speaker 1: like you know again. I left law school in ninety three,

893
00:48:42,440 --> 00:48:46,080
Speaker 1: I moved to Oakland Bay area and I started working

894
00:48:46,160 --> 00:48:51,040
Speaker 1: on youth violence, police violence, juvenile hall violence. And I

895
00:48:51,080 --> 00:48:53,080
Speaker 1: spent most of my twenties and thirties working on that

896
00:48:53,120 --> 00:48:56,759
Speaker 1: type of stuff, deeply in the black community, but I

897
00:48:56,840 --> 00:48:59,239
Speaker 1: was always reaching out to other communities. The immigrants were

898
00:48:59,280 --> 00:49:01,040
Speaker 1: going through a lot in nineties. I've reached out to

899
00:49:01,040 --> 00:49:06,120
Speaker 1: them and other groups, and you know, I have found

900
00:49:06,680 --> 00:49:10,240
Speaker 1: that whatever your issue is, if it's a real issue,

901
00:49:10,840 --> 00:49:13,520
Speaker 1: there are not enough people who look exactly like you,

902
00:49:14,080 --> 00:49:18,040
Speaker 1: vote exactly like you, pray exactly like you, live exactly

903
00:49:18,080 --> 00:49:20,239
Speaker 1: like you to solve any serious problem. If you have

904
00:49:20,280 --> 00:49:23,239
Speaker 1: a serious problem, at some point, you're going to have

905
00:49:23,280 --> 00:49:25,440
Speaker 1: to reach out to somebody who does not look like you,

906
00:49:25,480 --> 00:49:28,200
Speaker 1: pray like you, live like you, vote like you to

907
00:49:28,360 --> 00:49:32,879
Speaker 1: get something done. So you cannot then have a politics

908
00:49:32,920 --> 00:49:34,080
Speaker 1: on either side of the aisle.

909
00:49:34,520 --> 00:49:35,480
Speaker 2: This starts off.

910
00:49:35,320 --> 00:49:38,680
Speaker 1: Saying I will never talk to you, never listen to you.

911
00:49:39,040 --> 00:49:41,680
Speaker 1: Someone who prays this way, someone who lives this way,

912
00:49:41,760 --> 00:49:44,480
Speaker 1: votes this way, because all you're doing is limiting the

913
00:49:44,560 --> 00:49:46,480
Speaker 1: amount of good you can do for your own.

914
00:49:46,360 --> 00:49:51,600
Speaker 3: Community, especially when you consider currency is a global conversation, absolutely,

915
00:49:51,640 --> 00:49:53,880
Speaker 3: and so when you add in not just America, but

916
00:49:53,920 --> 00:49:58,400
Speaker 3: the totality of the country of the world itself. We

917
00:49:58,480 --> 00:50:02,040
Speaker 3: cannot be an island in the exclusion all by ourselves.

918
00:50:02,400 --> 00:50:05,520
Speaker 3: That's being proven by trade and the like thereof is

919
00:50:05,640 --> 00:50:09,160
Speaker 3: killing us. We are much more connected economically than we

920
00:50:09,160 --> 00:50:13,640
Speaker 3: would care to admit, and that whole sociological construct is

921
00:50:13,800 --> 00:50:17,520
Speaker 3: so inclusive that we dare not have silos. You and

922
00:50:17,600 --> 00:50:23,520
Speaker 3: I were talking about separations, gender separations. What do you

923
00:50:23,560 --> 00:50:27,640
Speaker 3: think of statements like Michelle Obama made recently that America

924
00:50:27,719 --> 00:50:30,719
Speaker 3: is not ready for a female president. Do we have

925
00:50:31,000 --> 00:50:37,120
Speaker 3: as much gender strife? Underpaid? Women are underpaid compared to men.

926
00:50:37,320 --> 00:50:40,040
Speaker 3: Is that something that we need to take on more

927
00:50:40,080 --> 00:50:41,200
Speaker 3: seriously as men?

928
00:50:41,400 --> 00:50:41,600
Speaker 2: Yeah?

929
00:50:41,680 --> 00:50:45,480
Speaker 1: Yeah, Look, I think the two things happening with regard

930
00:50:45,520 --> 00:50:49,759
Speaker 1: to the gender stress and strife. If you look at

931
00:50:49,800 --> 00:50:53,320
Speaker 1: the younger generation, the women actually outperforming the men across

932
00:50:53,320 --> 00:50:55,400
Speaker 1: the board when it comes to mental health, when it

933
00:50:55,400 --> 00:50:58,200
Speaker 1: comes to education, when it comes to income attainment. That's

934
00:50:58,239 --> 00:51:01,160
Speaker 1: going to be a mess because most women are heterosexual

935
00:51:01,160 --> 00:51:02,759
Speaker 1: and they're going to want a heterosexual party they can

936
00:51:02,840 --> 00:51:05,879
Speaker 1: keep up, and our young men are falling behind. So

937
00:51:06,280 --> 00:51:09,520
Speaker 1: there's an emergency there. How do we get our young

938
00:51:09,560 --> 00:51:12,799
Speaker 1: men to be able to step up and not be

939
00:51:13,680 --> 00:51:18,279
Speaker 1: pushovers and not be predators, but to be protectors, to

940
00:51:18,320 --> 00:51:21,000
Speaker 1: be good strong men who I didn't say good strong

941
00:51:21,040 --> 00:51:24,320
Speaker 1: life forms good strong you know I mean good strong men.

942
00:51:24,480 --> 00:51:27,200
Speaker 1: You've got to be able to say, as a progressive,

943
00:51:27,320 --> 00:51:31,720
Speaker 1: we want you to be a good strong man without

944
00:51:31,719 --> 00:51:34,040
Speaker 1: that seeming sexist. Because we want you to be a good,

945
00:51:34,080 --> 00:51:37,120
Speaker 1: strong woman. But that's a whole thing has to get

946
00:51:37,160 --> 00:51:41,160
Speaker 1: sorted out. But with the older crowd, I think that

947
00:51:41,880 --> 00:51:45,680
Speaker 1: women do face headwinds that they should not be facing.

948
00:51:46,640 --> 00:51:49,239
Speaker 1: Whether you're a Hillary Clinton, whether you're Kamala Harris or whatever,

949
00:51:49,280 --> 00:51:53,359
Speaker 1: there were headwinds that they were facing. You know, there's

950
00:51:53,400 --> 00:51:57,600
Speaker 1: no perfect candidate. Certainly Kama herself wouldn't say she's a

951
00:51:57,600 --> 00:52:01,279
Speaker 1: perfect candidate. But there were moments in the campaign where

952
00:52:01,320 --> 00:52:04,120
Speaker 1: I thought Trump was getting away with being lawless and

953
00:52:04,160 --> 00:52:06,680
Speaker 1: she was expected to be flawless, and I thought that

954
00:52:06,760 --> 00:52:10,800
Speaker 1: was unfair. And so these are these are our real issues.

955
00:52:10,880 --> 00:52:13,400
Speaker 1: I mean, what I will say is that for me,

956
00:52:14,239 --> 00:52:18,759
Speaker 1: I have tried to use my access to the technology

957
00:52:18,800 --> 00:52:23,160
Speaker 1: world to try to create some AI tools to help

958
00:52:23,200 --> 00:52:28,040
Speaker 1: people get along better. We launched something called work Better

959
00:52:28,200 --> 00:52:33,680
Speaker 1: Together dot AI, Work Better Together dot ai, where we

960
00:52:33,719 --> 00:52:37,400
Speaker 1: actually have tools to AI tools to help humans be

961
00:52:37,480 --> 00:52:39,240
Speaker 1: kinder to humans.

962
00:52:39,239 --> 00:52:40,440
Speaker 2: I think that's very important.

963
00:52:40,680 --> 00:52:44,400
Speaker 1: I've been working to try to mend this rift between

964
00:52:44,440 --> 00:52:46,920
Speaker 1: the Black world and the Jewish world. There are a

965
00:52:46,960 --> 00:52:50,160
Speaker 1: lot of rifts and things that you need to be healed.

966
00:52:50,520 --> 00:52:53,600
Speaker 1: I have a special passion for healing that because for

967
00:52:53,680 --> 00:52:57,080
Speaker 1: one hundred plus years, black people had such few allies,

968
00:52:57,320 --> 00:53:00,160
Speaker 1: and Jewish people just proportionately stepped up to help us

969
00:53:00,160 --> 00:53:03,920
Speaker 1: in our moments of stress and strife. Now Black folks

970
00:53:03,920 --> 00:53:06,760
Speaker 1: and Jews just agree about a bunch of stuff foreign policy,

971
00:53:07,640 --> 00:53:10,040
Speaker 1: DEI and a whole bunch of other stuff. We've never

972
00:53:10,120 --> 00:53:12,600
Speaker 1: always gotten along by everything, but we've always been able

973
00:53:12,600 --> 00:53:14,360
Speaker 1: to find some way to help each other. And I

974
00:53:14,360 --> 00:53:16,120
Speaker 1: don't want to live in a world where now we're

975
00:53:16,160 --> 00:53:19,480
Speaker 1: just enemies of people who are parents were friends. That's

976
00:53:19,520 --> 00:53:22,399
Speaker 1: not a good outcome. So I do work very hard

977
00:53:22,400 --> 00:53:24,080
Speaker 1: behind the scenes. A lot of people see me as

978
00:53:24,120 --> 00:53:26,799
Speaker 1: a guy on CNN who sometimes says stuff they don't like.

979
00:53:27,120 --> 00:53:29,080
Speaker 4: That's their whole isship with me, right, And I just

980
00:53:29,200 --> 00:53:33,600
Speaker 4: live with that. And you cross the line. You'll work

981
00:53:33,680 --> 00:53:37,680
Speaker 4: with Republicans and Democrats. I mean, you were involved with

982
00:53:37,719 --> 00:53:39,319
Speaker 4: the opportunity zones, sir.

983
00:53:39,520 --> 00:53:42,239
Speaker 3: You took a whole lot of youth for that. I

984
00:53:42,320 --> 00:53:46,279
Speaker 3: started to bring a fan to kind of cool that

985
00:53:46,360 --> 00:53:49,480
Speaker 3: down a little bit. But we did end up with

986
00:53:49,680 --> 00:53:53,160
Speaker 3: some changes in our communities, and we are still ending

987
00:53:53,239 --> 00:53:56,719
Speaker 3: up with some changes in our communities. Would you like

988
00:53:56,800 --> 00:53:59,280
Speaker 3: to see that program continue and flourish.

989
00:53:59,680 --> 00:54:02,520
Speaker 2: Look, here's reality.

990
00:54:03,040 --> 00:54:07,040
Speaker 1: We have two parties in our country, but we only

991
00:54:07,040 --> 00:54:09,799
Speaker 1: have one set of children, and they you know, our

992
00:54:09,800 --> 00:54:13,120
Speaker 1: grandchildren look a little bit different than our grandparents. You

993
00:54:13,160 --> 00:54:14,640
Speaker 1: go to an old folks home, you see a lot

994
00:54:14,640 --> 00:54:16,839
Speaker 1: more white folks. You go to a kindergarten, you see

995
00:54:16,880 --> 00:54:19,879
Speaker 1: a bunch of black and brown folks. So our grandchildren

996
00:54:19,880 --> 00:54:21,799
Speaker 1: look a little bit different than our grandparents. But there's

997
00:54:21,800 --> 00:54:25,759
Speaker 1: still our children. They're all our children. And you have

998
00:54:25,800 --> 00:54:29,120
Speaker 1: two political parties. If only one party had all the

999
00:54:29,160 --> 00:54:30,960
Speaker 1: answers in all the votes, you wouldn't have talked to

1000
00:54:30,960 --> 00:54:33,520
Speaker 1: the other one. But it turns out both parties have

1001
00:54:33,640 --> 00:54:36,359
Speaker 1: some problems, and both problems have some solutions, and neither

1002
00:54:36,400 --> 00:54:39,240
Speaker 1: party has all the votes. So if you care about

1003
00:54:39,239 --> 00:54:42,200
Speaker 1: the children and you put them first, you'll look for

1004
00:54:42,320 --> 00:54:46,400
Speaker 1: every possible opportunity to work with someone, and then if

1005
00:54:46,440 --> 00:54:49,120
Speaker 1: you have to fight them, then you fight them. We're

1006
00:54:49,160 --> 00:54:52,080
Speaker 1: doing it the opposite. We look for every opportunity to fight,

1007
00:54:52,719 --> 00:54:53,480
Speaker 1: but we do fight.

1008
00:54:53,520 --> 00:54:54,680
Speaker 2: We don't even want to work together.

1009
00:54:55,080 --> 00:54:57,840
Speaker 1: And so I disagree with that, as I decline, I

1010
00:54:57,880 --> 00:55:00,160
Speaker 1: don't want to participate in that, and I'm willing to

1011
00:55:00,160 --> 00:55:00,719
Speaker 1: be criticized.

1012
00:55:00,760 --> 00:55:01,640
Speaker 2: I'm going to tell you something.

1013
00:55:02,920 --> 00:55:07,160
Speaker 1: The willingness to be criticized is I think the biggest

1014
00:55:07,200 --> 00:55:08,440
Speaker 1: superpower that we can have.

1015
00:55:08,520 --> 00:55:08,719
Speaker 2: Now.

1016
00:55:09,360 --> 00:55:11,400
Speaker 1: Human beings were designed to be in groups of about

1017
00:55:11,440 --> 00:55:14,239
Speaker 1: thirty forty fifty people. We were not designed and so

1018
00:55:14,280 --> 00:55:16,640
Speaker 1: we were designed to get feedback from about thirty forty

1019
00:55:16,680 --> 00:55:20,360
Speaker 1: fifty people, maybe one hundred people. No human being was

1020
00:55:20,400 --> 00:55:22,759
Speaker 1: designed to get feedback from three million people at once.

1021
00:55:23,560 --> 00:55:26,719
Speaker 1: And so when you get that flood of negative feedback

1022
00:55:26,800 --> 00:55:30,960
Speaker 1: in your comments on Twitter, it is the natural reaction

1023
00:55:31,040 --> 00:55:33,880
Speaker 1: of any human mind to withdraw and to say, well,

1024
00:55:33,880 --> 00:55:36,719
Speaker 1: I'm never going to say anything controversial, I'm going to

1025
00:55:36,800 --> 00:55:41,600
Speaker 1: hide my truth. I'm just going to shut up. The

1026
00:55:41,640 --> 00:55:43,759
Speaker 1: problem with that is in your truth never gets to

1027
00:55:43,760 --> 00:55:47,240
Speaker 1: be heard or corrected. Now you hold on to your truth,

1028
00:55:47,520 --> 00:55:49,920
Speaker 1: whether it's whether it's good, better, or otherwise, and so

1029
00:55:50,000 --> 00:55:53,359
Speaker 1: does everybody else. Now you have isolation, depression, loneliness. What

1030
00:55:53,400 --> 00:55:57,479
Speaker 1: I've decided is my worst day on Twitter is better

1031
00:55:57,480 --> 00:56:00,759
Speaker 1: than anybody's best day in federal prison. My worst day

1032
00:56:00,760 --> 00:56:02,799
Speaker 1: on Twitter has been anybody's best day on a Native

1033
00:56:02,800 --> 00:56:05,960
Speaker 1: American reservation or in a housing project. The people that

1034
00:56:06,040 --> 00:56:09,040
Speaker 1: Jesus refer to as the least of these be addicted,

1035
00:56:09,440 --> 00:56:14,120
Speaker 1: be evicted, the addicted, the convicted, the poorly deeppicted, the

1036
00:56:14,280 --> 00:56:18,600
Speaker 1: least of these have a worse day than I'm ever

1037
00:56:18,680 --> 00:56:21,680
Speaker 1: going to have. I'm willing to face criticism, to stand

1038
00:56:21,760 --> 00:56:23,200
Speaker 1: up for what I believe in and try to move

1039
00:56:23,239 --> 00:56:25,040
Speaker 1: the needle toward less hate and more hope.

1040
00:56:25,400 --> 00:56:27,919
Speaker 3: They're giving me a signal I got to wrap up. Yes, sir,

1041
00:56:28,160 --> 00:56:33,000
Speaker 3: I want to ask you one final question. Two groups

1042
00:56:33,040 --> 00:56:36,480
Speaker 3: said we didn't talk about that. I think need discussion

1043
00:56:36,560 --> 00:56:39,560
Speaker 3: and very seldom hit the radar. Is we have more

1044
00:56:39,640 --> 00:56:42,920
Speaker 3: baby boomers living now than we've ever had in the

1045
00:56:42,960 --> 00:56:45,520
Speaker 3: history of the world. So as we do all of

1046
00:56:45,560 --> 00:56:48,560
Speaker 3: this planning for the future, we have to plan for

1047
00:56:48,800 --> 00:56:51,720
Speaker 3: a family unit that's going to look a lot different.

1048
00:56:52,080 --> 00:56:56,160
Speaker 3: It's going to have multiple generations. So if you want

1049
00:56:56,200 --> 00:57:00,000
Speaker 3: to be successful in business, either open a senior list

1050
00:57:00,120 --> 00:57:05,839
Speaker 3: mean complex or a nursery. Yes, okay, yeah, either one

1051
00:57:05,840 --> 00:57:09,080
Speaker 3: of them are flourishing better than the other one. And

1052
00:57:09,160 --> 00:57:13,040
Speaker 3: do we include a strategy for both because we can't.

1053
00:57:13,360 --> 00:57:15,879
Speaker 3: We can't put Grandpa on the front porch anymore. Yeah.

1054
00:57:16,200 --> 00:57:19,000
Speaker 1: Look, I think that part of the challenge we have

1055
00:57:19,080 --> 00:57:21,840
Speaker 1: right now is that we have five generations now in

1056
00:57:21,840 --> 00:57:22,440
Speaker 1: the workforce.

1057
00:57:22,720 --> 00:57:23,760
Speaker 2: That's never happened before.

1058
00:57:24,560 --> 00:57:28,200
Speaker 1: The Boomers, the exers, the Millennials, the Z and now

1059
00:57:28,320 --> 00:57:30,160
Speaker 1: Alpha is starting to poke their little heads up there

1060
00:57:30,160 --> 00:57:32,600
Speaker 1: when they've become an influencer, they have jobs. So hold

1061
00:57:32,600 --> 00:57:35,280
Speaker 1: on a second. This is we've never had to manage

1062
00:57:35,320 --> 00:57:38,320
Speaker 1: that as a species before. So I think that's important.

1063
00:57:38,440 --> 00:57:41,440
Speaker 1: And I think that the pressure that's going to come

1064
00:57:41,440 --> 00:57:43,520
Speaker 1: on the system because of the need for elder care

1065
00:57:44,000 --> 00:57:46,440
Speaker 1: will push society in a better direction when it comes

1066
00:57:46,480 --> 00:57:50,680
Speaker 1: to the government and corporations trying to deal with healthcare.

1067
00:57:51,080 --> 00:57:53,760
Speaker 1: I think it's inevitable whether you get health care for

1068
00:57:53,800 --> 00:57:56,760
Speaker 1: all or that there will be a better system than

1069
00:57:56,800 --> 00:57:58,280
Speaker 1: we have now because of that.

1070
00:57:58,680 --> 00:57:59,880
Speaker 2: And surprised.

1071
00:58:00,360 --> 00:58:02,920
Speaker 1: The baby boomers have been changing American politics since they

1072
00:58:02,920 --> 00:58:06,919
Speaker 1: were born, right, They changed they vote, yeah, but even

1073
00:58:06,960 --> 00:58:09,840
Speaker 1: just their numbers. They've changed our elementary system, our college system,

1074
00:58:10,040 --> 00:58:11,880
Speaker 1: our politics, and now they're going to change the way

1075
00:58:11,920 --> 00:58:14,480
Speaker 1: that people, you know, exit the scene as well.

1076
00:58:15,000 --> 00:58:18,240
Speaker 3: I could talk to you.

1077
00:58:20,560 --> 00:58:22,920
Speaker 1: I want to say to you on your podcast what

1078
00:58:23,000 --> 00:58:28,160
Speaker 1: I said on stage. You are a global treasure. There

1079
00:58:28,200 --> 00:58:31,880
Speaker 1: are human beings right now who are alive today that

1080
00:58:32,000 --> 00:58:34,520
Speaker 1: would have taken themselves out of the game. They were

1081
00:58:34,560 --> 00:58:37,440
Speaker 1: at the bottom of the bottom of the bottom, and

1082
00:58:37,520 --> 00:58:40,040
Speaker 1: they heard your voice and they are walking around here

1083
00:58:40,040 --> 00:58:42,760
Speaker 1: today because of you. There are people who are in

1084
00:58:42,800 --> 00:58:45,360
Speaker 1: prison right now who are listening to your voice and

1085
00:58:45,400 --> 00:58:49,000
Speaker 1: have hope. There are people who There are babies who

1086
00:58:49,080 --> 00:58:52,520
Speaker 1: woke up this morning in a house Mama was there

1087
00:58:52,680 --> 00:58:55,400
Speaker 1: and daddy was there. They did not get that divorce

1088
00:58:55,920 --> 00:58:58,760
Speaker 1: because one or the other heard your voice and gave

1089
00:58:58,800 --> 00:59:02,520
Speaker 1: it one more chance. There are people who have businesses

1090
00:59:03,000 --> 00:59:05,400
Speaker 1: who you have personally helped, but you helped so many

1091
00:59:05,400 --> 00:59:07,800
Speaker 1: people you don't even remember their names that are now

1092
00:59:07,880 --> 00:59:11,680
Speaker 1: literally millionaires. There are very few people in the world

1093
00:59:11,760 --> 00:59:14,080
Speaker 1: who have done as much good as you have done

1094
00:59:14,120 --> 00:59:16,880
Speaker 1: with a human's voice. Like you said, you're not out

1095
00:59:16,880 --> 00:59:21,040
Speaker 1: there tap dancing, toiling fire hoses and whatever. Just literally

1096
00:59:21,120 --> 00:59:24,840
Speaker 1: your voice has been a healing bomb for the entire world.

1097
00:59:24,960 --> 00:59:26,560
Speaker 1: And I love you, and I want you to get

1098
00:59:26,600 --> 00:59:30,000
Speaker 1: that from me directly. Eyeballed, eyeballs, Wow, and I'm speaking

1099
00:59:30,040 --> 00:59:30,720
Speaker 1: for millions.

1100
00:59:30,960 --> 00:59:33,200
Speaker 3: Thank you so much. I love you. I love you too,

1101
00:59:33,360 --> 00:59:33,720
Speaker 3: I love you.

1102
00:59:33,920 --> 00:59:35,800
Speaker 2: It's been a real pleasure to answer.

1103
00:59:36,400 --> 00:59:40,320
Speaker 3: Wow. Hey, everybody, I want to take this time to

1104
00:59:40,400 --> 00:59:44,600
Speaker 3: thank you for watching the Next Chapter Podcast. If this

1105
00:59:44,760 --> 00:59:49,440
Speaker 3: conversation inspired you, helped you reflect on an idea, or

1106
00:59:49,720 --> 00:59:54,360
Speaker 3: spark something new inside of you, make sure to like, comment,

1107
00:59:54,840 --> 01:00:01,640
Speaker 3: and subscribe so you don't miss future episodes. Remember, life

1108
01:00:01,800 --> 01:00:05,920
Speaker 3: isn't about how you begin, It's about how you finished strong.

1109
01:00:06,640 --> 01:00:12,600
Speaker 3: So start your next chapter with us right here every

1110
01:00:12,640 --> 01:00:12,880
Speaker 3: week