Latest / Money And Wealth With John Hope Bryant / AI, Agency & The Black Future: Van Jones & Sheldon Gilbert

Transcript

AI, Agency & The Black Future: Van Jones & Sheldon Gilbert · Money And Wealth With John Hope Bryant

• 0:00
  Speaker 1: Welcome to Money and Wealth with John O'Bryant, a production
• 0:03
  Speaker 1: of the Black Effect Podcast Network and iHeartRadio. This is
• 0:14
  Speaker 1: John O'Brien. This is a top one percent podcast in
• 0:18
  Speaker 1: the world today on every continent, and the top one
• 0:21
  Speaker 1: hundred for a business and top fifty for entrepreneurship on Apple.
• 0:25
  Speaker 1: And so thanks everybody for your support on the silver
• 0:28
  Speaker 1: for rights movement, from civil rights to civil rights, from
• 0:31
  Speaker 1: the streets to the suites. This is a very special episode.
• 0:34
  Speaker 1: I don't remember ever having two guests with me at
• 0:37
  Speaker 1: the same time. A lot of you know that I
• 0:39
  Speaker 1: do these solo often. I thought, this is so important.
• 0:42
  Speaker 1: This is not just a tech episode. It's not just
• 0:45
  Speaker 1: about AI. It's a survival guy, a playbook, and our
• 0:50
  Speaker 1: warning label all in the same breath. Black and brown
• 0:55
  Speaker 1: communities have historically been last in line when economic revolutions
• 0:59
  Speaker 1: hit the world. Is the insight from Van Jones, who's
• 1:03
  Speaker 1: on with us today, my brother from another mother, from
• 1:07
  Speaker 1: the industrial era to the digital boom. But AI is different.
• 1:12
  Speaker 1: It's moving faster than anything anybody has ever seen. To
• 1:17
  Speaker 1: go from the automobile to horse and buggy to the
• 1:19
  Speaker 1: automobile took about sixty years to go from labor to
• 1:24
  Speaker 1: technology centric reality will take about six and that's probably
• 1:28
  Speaker 1: a very generous timing. We're going to probably see thirty
• 1:32
  Speaker 1: percent improvements in efficiencies and companies in the next two
• 1:35
  Speaker 1: to three years, which means that they won't need employees
• 1:41
  Speaker 1: to do many of the jobs that just got made
• 1:45
  Speaker 1: more automated and efficient. New jobs will come, but this
• 1:50
  Speaker 1: may not be a direct overlay in real time, which
• 1:53
  Speaker 1: means you need a survival guy. You need to be
• 1:56
  Speaker 1: your own toolkit. The communities that understand shape and own
• 2:03
  Speaker 1: a stake in this revolution now will define the future
• 2:06
  Speaker 1: of power, wealth and opportunity later. So before I lay
• 2:11
  Speaker 1: in and let my brother Van Jones and Sheldon Gilbert
• 2:17
  Speaker 1: lean into this in a way that will transform your life,
• 2:22
  Speaker 1: let me just say this AI is moving faster than
• 2:25
  Speaker 1: civil rights legislation ever did.
• 2:28
  Speaker 2: What happens if we don't act now?
• 2:31
  Speaker 1: Doctor King once said the world is moving that human
• 2:35
  Speaker 1: rights and social justice in America. This is what he
• 2:37
  Speaker 1: said back then was moving at horse and buggy pace,
• 2:39
  Speaker 1: but the world was moving at jetlife speed. That can
• 2:42
  Speaker 1: be said for where we are now, between what's going
• 2:44
  Speaker 1: on with the suites and the streets. Van Jones brings
• 2:48
  Speaker 1: his policy and media voice and his brilliance. I think
• 2:51
  Speaker 1: he is literally a genius in this area and others
• 2:55
  Speaker 1: revealing what's happening in Washington and Silicon Valley behind closed doors.
• 3:01
  Speaker 2: Uh, and technology too.
• 3:04
  Speaker 1: He once told me that nine night persent a black
• 3:07
  Speaker 1: folk on think about AI, but nine nights in a
• 3:10
  Speaker 1: white folks think about AI either so orver. This is
• 3:15
  Speaker 1: the equal opportunity discrimination. Van Jones introduced me to Sheldon Gilbert,
• 3:22
  Speaker 1: who compensates not smiling with having a brilliant brain. That
• 3:28
  Speaker 1: makes it irrelevant whether he smiles that you or not.
• 3:31
  Speaker 1: He's just dead serious. He's making smart sexy and it's
• 3:35
  Speaker 1: a big thing for me to tell somebody to smile.
• 3:37
  Speaker 2: My wife's always telling I have mister serious. This brother
• 3:40
  Speaker 2: makes me look like I'm a libertary.
• 3:42
  Speaker 3: I'm a liberal.
• 3:46
  Speaker 1: Breaks down how AI is being coded without us and
• 3:50
  Speaker 1: why that's dangerous for us, for algorithms, for equity, and
• 3:54
  Speaker 1: for democracy.
• 3:57
  Speaker 2: I'm going to help.
• 3:57
  Speaker 1: I'm going to try to in the middle of this
• 3:59
  Speaker 1: great conversation reframe AI as the next frontier of financial inclusion,
• 4:03
  Speaker 1: civil rights, civil rights, and community economic empowerment. It's an
• 4:07
  Speaker 1: urgency of now to my brother Van Jones.
• 4:12
  Speaker 4: Well, it's it's an honor to be here, and I
• 4:16
  Speaker 4: think you know you've done more than any the next
• 4:19
  Speaker 4: one hundred people in getting financial literacy and the silver
• 4:24
  Speaker 4: rights movement taken seriously, we're now in a position where,
• 4:29
  Speaker 4: if you're going to be focused on economics, what's happening
• 4:34
  Speaker 4: now when it comes to artificial intelligence and exponential technology
• 4:40
  Speaker 4: that there's no lawsuit protest bill you can pass like
• 4:43
  Speaker 4: it's it's it's moving so rapidly.
• 4:46
  Speaker 5: And yet I.
• 4:47
  Speaker 4: Want to point out we as black folks, should be
• 4:51
  Speaker 4: happy because if everything's going to be disrupted, as they
• 4:55
  Speaker 4: say they're going to disrupt everything, AI is going to
• 4:57
  Speaker 4: disrupt every industry good because he's interested to have been
• 5:02
  Speaker 4: leaving us out the whole time.
• 5:03
  Speaker 2: Anyway.
• 5:03
  Speaker 4: It's not like the status quo has been so wonderful.
• 5:06
  Speaker 4: I mean, do we like the healthcare system that we've got?
• 5:09
  Speaker 4: Do we like the education system that we've got? Do
• 5:11
  Speaker 4: we like all this stuff so much?
• 5:13
  Speaker 2: So?
• 5:13
  Speaker 4: Why we're the main ones who are being threat sensitive
• 5:16
  Speaker 4: as opposed to opportunities sensitive. You're now in a position
• 5:20
  Speaker 4: where the most creative people in the world, black cultures,
• 5:24
  Speaker 4: you know, inarguably I'm the most creative, most innovative.
• 5:31
  Speaker 1: You just said something about about basically the urgency and
• 5:36
  Speaker 1: how we miss the dot com boom, we missed the
• 5:37
  Speaker 1: web two oh, and yeah, you know we're not gonna
• 5:40
  Speaker 1: miss ai. But I just want to say, and I'm
• 5:42
  Speaker 1: not making at all a political comment. Please, anybody listening
• 5:45
  Speaker 1: to this, as you know, I'm inclusive of everybody. I'm
• 5:49
  Speaker 1: not making it at all a political comment. I just
• 5:51
  Speaker 1: think this is sort of funny people say. Some people
• 5:53
  Speaker 1: have said, let's make America great again. I'm not making
• 5:56
  Speaker 1: a political comment. I'm not even digging at anybody. I'm
• 5:58
  Speaker 1: just saying, when was America every great for black people?
• 6:03
  Speaker 1: I'm just saying, like when my grandfather was a sharecropper,
• 6:10
  Speaker 1: my second grade grandfather was a slave Georgiana.
• 6:14
  Speaker 2: He fought in a Union army for a country that enslaved.
• 6:19
  Speaker 1: In fact, but he was in the he was part
• 6:21
  Speaker 1: of the Emancipation Proclamation, I mean civil rights movement. Doctor
• 6:26
  Speaker 1: King was killed and all these other folks, and just
• 6:28
  Speaker 1: trying to get some folks to a to a guy stage,
• 6:30
  Speaker 1: to a watering station, a water fountain.
• 6:34
  Speaker 2: You know. Furnivash was given to white women. All good.
• 6:37
  Speaker 2: I love that for them.
• 6:39
  Speaker 1: I'm just wondering, Well, I'm not trying to get off.
• 6:44
  Speaker 1: I'm just saying this for the record, when making America
• 6:48
  Speaker 1: great again? When did that ever? And we worked twenty
• 6:53
  Speaker 1: trillion dollars of free labor and slavery forty four trillion,
• 6:56
  Speaker 1: and you taught missed opportunity.
• 6:58
  Speaker 2: I'm not complaining, I'm not why, I'm just contextualizing.
• 7:01
  Speaker 4: Back to Vangelines, Well, I I think what you're saying
• 7:08
  Speaker 4: seriously in the following respect though, black folks really do
• 7:12
  Speaker 4: have a profound sense of history. In fact, you know,
• 7:16
  Speaker 4: we do history as well as anybody's ever done it.
• 7:19
  Speaker 4: In fact, we have a whole Black History Month. Everybody
• 7:22
  Speaker 4: in the world knows who Harriet Dubbin is. Everybody in
• 7:24
  Speaker 4: the world knows Doctor kingis. I'm not sure anybody knows
• 7:27
  Speaker 4: who any Irish American or Italian America or Greek American
• 7:30
  Speaker 4: heroes are. So we've done a great job with Black history.
• 7:33
  Speaker 4: The question is what about the Black future. I would
• 7:37
  Speaker 4: trade in at this point about ten Black History months
• 7:41
  Speaker 4: for one Black Future weekend? Can we talk about the
• 7:44
  Speaker 4: black future? Where are we actually going? Especially given that
• 7:48
  Speaker 4: when waves of change come. You can either be knocked
• 7:51
  Speaker 4: down by them or you can ride them to a
• 7:53
  Speaker 4: different place. And so the reason I'm so happy to
• 7:55
  Speaker 4: be on with Sheldon is because there are very few
• 7:59
  Speaker 4: people in the world, black, white, or any other color
• 8:01
  Speaker 4: who understand the depth of what this AI revolution means
• 8:07
  Speaker 4: than Sheldon Gilbert. And one of the things I think
• 8:10
  Speaker 4: that we get caught up in is we tend to
• 8:13
  Speaker 4: look at this from the perspective either of just folks
• 8:16
  Speaker 4: who are scared or folks who are at a thousand
• 8:19
  Speaker 4: feet above and are thinking about how they're going to
• 8:21
  Speaker 4: beat China with AI and that sort of stuff. But
• 8:23
  Speaker 4: here's reality. These AI data centers are not in the cloud.
• 8:29
  Speaker 4: Right we talk about cloud computing. I think a lot
• 8:31
  Speaker 4: of people think there's some laptops up there in the clouds,
• 8:34
  Speaker 4: you know what I mean, like holding all this information.
• 8:38
  Speaker 4: There's no laptops in the cloud. You've been on a
• 8:40
  Speaker 4: plane many times. You've never seen a laptop up there.
• 8:42
  Speaker 4: Because they're data centers on the ground on planet Earth
• 8:46
  Speaker 4: using materials that came from Africa. They call them rare
• 8:51
  Speaker 4: earth minerals. They're rare in Europe. They're africa abundant minerals
• 8:54
  Speaker 4: is what we should call them. And there's water being
• 8:58
  Speaker 4: used on the ground, there's energy being used on the ground,
• 9:01
  Speaker 4: and their work is going in there every day who
• 9:03
  Speaker 4: are doing real computational work in a very different way
• 9:07
  Speaker 4: than somebody from Silicon Valley, grassroots, real time people. And
• 9:11
  Speaker 4: that material reality of what this AI revolution means is
• 9:16
  Speaker 4: something that Sheldon understands. And then also the fact that
• 9:19
  Speaker 4: the Internet itself, which was built for humans, is now
• 9:24
  Speaker 4: that have to be rebuilt for AI agents. These two
• 9:28
  Speaker 4: massive changes in terms of the data centers and what
• 9:31
  Speaker 4: they mean on the ground level and this new Internet
• 9:36
  Speaker 4: that's being created are two areas that Sheldon knows as
• 9:39
  Speaker 4: much or more about anybody else. And I just wanted
• 9:41
  Speaker 4: to make sure that we had that conversation because if
• 9:44
  Speaker 4: we're going to make Wakanda real, which should be the
• 9:47
  Speaker 4: new Black aspiration is to make Wakanda real, science, spirituality, heroism,
• 9:55
  Speaker 4: high purpose, but technology being central, we have to have.
• 10:00
  Speaker 4: I have to start honoring our technologists and one of
• 10:02
  Speaker 4: those is Sheldon Gilbert. So get that mostly right and
• 10:06
  Speaker 4: mostly wrong, shall and you keep correct me.
• 10:08
  Speaker 3: You're the engineer, Yeah, no, absolutely. I love Also the
• 10:11
  Speaker 3: reference to kind of a dune in the background. So
• 10:13
  Speaker 3: good stuff. I say, I'm broad, broad exactly, all encompassing,
• 10:19
  Speaker 3: and I want to.
• 10:19
  Speaker 1: Ask knowledge Van as a new kind of leader, because
• 10:22
  Speaker 1: leaders in the past our community would not commend another
• 10:25
  Speaker 1: leader will certainly not recommend another leader. In fact, doctor
• 10:28
  Speaker 1: King was viciously attacked by civil rights leaders who happened
• 10:31
  Speaker 1: to be black because you, I don't know he was popular.
• 10:34
  Speaker 1: I don't know what it was, but I mean he
• 10:36
  Speaker 1: really died chained, smoking, overweight, and depressed. He thought he'd failed.
• 10:40
  Speaker 1: And we tried to even give them the Nobel Peace
• 10:42
  Speaker 1: Prize money away to the other nonprofit civil rights leaders.
• 10:45
  Speaker 1: They didn't even acknowledge the gift after he had wired
• 10:47
  Speaker 1: the money to them. They were so resentful. And the
• 10:49
  Speaker 1: stories going on and on. The guy in Chicago who
• 10:52
  Speaker 1: changed the dress of his church because it was on
• 10:54
  Speaker 1: Martin the King Boulevard. After Doctor King was assassinated, he
• 10:57
  Speaker 1: changed his address to the side Street and here you
• 10:59
  Speaker 1: are avenged zones. Not taking credit for himself. He introduced
• 11:03
  Speaker 1: me to to Sheldon, who runs Cure Labs, amongst other things,
• 11:07
  Speaker 1: and told me he was a genius and all this stuff.
• 11:09
  Speaker 1: And I took some time with Sheldon realized he really
• 11:11
  Speaker 1: was a genius. And really all me and Van Jones
• 11:14
  Speaker 1: are doing here as a prop for Sheldon. But I
• 11:18
  Speaker 1: think it's really beautiful and command to give band his
• 11:20
  Speaker 1: flowers for being the kind of leader who's willing to
• 11:23
  Speaker 1: share the stage and even hold up the stage for
• 11:26
  Speaker 1: someone else.
• 11:27
  Speaker 3: Sheldon over to you absolutely well, first, John, again, really appreciate,
• 11:31
  Speaker 3: really appreciate your actually inviting me in. And yes, but
• 11:33
  Speaker 3: I do smile, but you're right, the time is it's
• 11:37
  Speaker 3: a very urgent and serious moment. And again, brother Van
• 11:39
  Speaker 3: as always, thanks again for you a constant brilliance and
• 11:42
  Speaker 3: insight and perspecassy with regards to a wide range of topics.
• 11:46
  Speaker 3: And I know that you began first and foremost, you know,
• 11:50
  Speaker 3: sort of really sort of stuff, you know, making that
• 11:53
  Speaker 3: clearing call with regards to environmental issues that to your point,
• 11:57
  Speaker 3: it's still even that much more pressing given the massive
• 11:59
  Speaker 3: energy consumption of Ah. Look, you know it's interesting. My mom,
• 12:04
  Speaker 3: I'm from Saint Lucia, are born and raised, and my
• 12:08
  Speaker 3: mom down there, to your credit, abou a few years ago,
• 12:10
  Speaker 3: she's about seventy one years old. She goes, Shell, what's
• 12:12
  Speaker 3: what's the big deal about this AI thing. I kind
• 12:14
  Speaker 3: of walked it through chat GBT my mom, you know
• 12:16
  Speaker 3: that really that cruise that you want my sister. I
• 12:19
  Speaker 3: want my sister I need to take you on. She's
• 12:20
  Speaker 3: like yeah, I'm like, okay, check this out this itinerary.
• 12:22
  Speaker 3: I'm not gonna put the itinerary together. Look at this thing.
• 12:25
  Speaker 3: I pulled mysel phone and I showed her this thing
• 12:28
  Speaker 3: called chat GPT. I said, Mom, think of all the
• 12:30
  Speaker 3: islands that you want to go to, and it'll give
• 12:32
  Speaker 3: us that itinerary hour by hour everybody. And she was
• 12:35
  Speaker 3: blown away. I go, okay, you think that's impressive. Check
• 12:38
  Speaker 3: this out. It shows you all the restaurants, all the
• 12:42
  Speaker 3: right everything, all the places we can go. Yes, imagine
• 12:45
  Speaker 3: if you actually hit a button. Says okay, now book that.
• 12:48
  Speaker 3: She's like, what do you mean. I'm like, imagine the
• 12:49
  Speaker 3: next thing you could say book that. It will book
• 12:52
  Speaker 3: all the entire itinerary for you. Goes you kidd me.
• 12:54
  Speaker 3: I'm like, that's exactly what's going to happen. And that's
• 12:56
  Speaker 3: exactly what's happening. This is the world what we called
• 13:00
  Speaker 3: AI agents. And I remember someone was giving a talk
• 13:03
  Speaker 3: recently and saying, what is the most consequential tool that
• 13:06
  Speaker 3: human beings have ever created? I think is you've all
• 13:10
  Speaker 3: Harari who wrote Sapiens and many of us know, give
• 13:12
  Speaker 3: a really interesting perspective on this and saying, is it
• 13:16
  Speaker 3: the wheel? Is it fire?
• 13:20
  Speaker 2: What is it?
• 13:20
  Speaker 1: Steam?
• 13:21
  Speaker 2: Engine?
• 13:21
  Speaker 3: What is it? And he goes, I don't even think
• 13:24
  Speaker 3: we actually put AI in that category. And he goes, well,
• 13:29
  Speaker 3: why is that? Because it's not a tool. We need
• 13:33
  Speaker 3: to harness the wheel, we need to harness fire, we
• 13:37
  Speaker 3: need to harness water, we need to harness steam. AI
• 13:40
  Speaker 3: could harness itself. It has self agency. These things can
• 13:45
  Speaker 3: act on their own. So we've never been in a
• 13:48
  Speaker 3: situation ever in human history where we've created something that
• 13:51
  Speaker 3: one could argue could start to act independent of us. Now,
• 13:56
  Speaker 3: lots of concerns, lots of drama, industrial exactly, exactly, Yeah,
• 14:05
  Speaker 3: And so these are things are called AI agents. Like,
• 14:08
  Speaker 3: let's let's talk about practically what that means to have
• 14:11
  Speaker 3: an AI agent. An AI agent is basically think of
• 14:15
  Speaker 3: this basically as software that can act on your behalf.
• 14:20
  Speaker 3: It has agency, not unlike a real estate agent, right
• 14:24
  Speaker 3: or a broker. It acts on your behalf. So imagine
• 14:28
  Speaker 3: now that you basically could have an agent that could
• 14:33
  Speaker 3: go in there and check your calendar and go book
• 14:37
  Speaker 3: flights for you, or a doctor's appointment for you, or
• 14:40
  Speaker 3: buy stops for you, or can educate you. The question
• 14:44
  Speaker 3: is do you actually now need to go get a PhD?
• 14:48
  Speaker 3: Do you need to now go to the like There
• 14:50
  Speaker 3: are ways in which these things could could advance your
• 14:53
  Speaker 3: understanding in very, very significant ways. But this also has
• 14:56
  Speaker 3: real consequences for labor in the workforce. You know, John,
• 15:09
  Speaker 3: I've told you, I've told Van before. I said, look,
• 15:12
  Speaker 3: the future is when they're hiring, they're not going to hire,
• 15:16
  Speaker 3: you know, our kids. It's like saying, hey Janice, Hey Sean,
• 15:21
  Speaker 3: hey Maria, we want to give you your job. Companies
• 15:24
  Speaker 3: aren't going to be hiring our children's individuals anymore. They're
• 15:27
  Speaker 3: going to be hiring our children alongside agents, the agents
• 15:30
  Speaker 3: that they have built that are working alongside them. And
• 15:34
  Speaker 3: think about that. It fundamentally changes the nature of employment,
• 15:41
  Speaker 3: right and what it means to be an employee. So
• 15:44
  Speaker 3: whether you're a nurse practitioner, whether you're a truck driver,
• 15:48
  Speaker 3: whether you're a teacher, or even if you're a surgeon,
• 15:52
  Speaker 3: and the other thing about this, by the way, is
• 15:53
  Speaker 3: all these revolutions you refer to before John the horse
• 15:55
  Speaker 3: and buggy farming into certain things, primarily what was at risk?
• 16:00
  Speaker 3: One we're gonna argue sort of like manual labor, right,
• 16:03
  Speaker 3: blue collar work. This is an inversion. This is the
• 16:06
  Speaker 3: first time ever that white collar services jobs are at risk.
• 16:10
  Speaker 3: We've never had that level of inversion before. So whether
• 16:14
  Speaker 3: you're are again a stock analyst, or even even thinking
• 16:19
  Speaker 3: about jobs in the most advances like be a neurosurgeon,
• 16:22
  Speaker 3: they're a deep risk.
• 16:23
  Speaker 2: Why.
• 16:24
  Speaker 3: I don't know if you guys have paid attention to
• 16:25
  Speaker 3: surgery recently. When I good friends an orthopedic surgeon as
• 16:28
  Speaker 3: well as an ob g u I N surgeon, he
• 16:32
  Speaker 3: performed surgery with robots. Half of his surgeries are done
• 16:37
  Speaker 3: with robots fore arms. Why because they don't tremor like
• 16:40
  Speaker 3: the human hand can, so they can achieve for more precision.
• 16:43
  Speaker 3: And the other arms are in their scopes and magnifying glasses.
• 16:46
  Speaker 3: And he's just controlling his procedures to a joystickture. So
• 16:51
  Speaker 3: what does that mean?
• 16:52
  Speaker 2: Human error? No?
• 16:54
  Speaker 1: No, no lawsuits because you left us a scalable and somebody's.
• 16:58
  Speaker 3: Uh right exactly. But but now think about this, So
• 17:03
  Speaker 3: think about like not only a long distance surgery, what
• 17:05
  Speaker 3: does it mean now to actually have AI conductor surgery?
• 17:10
  Speaker 3: So what does it mean now to be a doctor?
• 17:12
  Speaker 3: Are you just supervising the robot? What what does it
• 17:15
  Speaker 3: mean to be a nurse practitioner? Many people from our
• 17:17
  Speaker 3: communities are nurse practitioners. What does it mean?
• 17:19
  Speaker 1: Now?
• 17:19
  Speaker 3: You've got a lot of start to learn how to
• 17:21
  Speaker 3: sort of collaborate and interact with those agentic systems both
• 17:25
  Speaker 3: suffer it and physical world. This is where Elon is
• 17:28
  Speaker 3: really going after you look at the different question.
• 17:31
  Speaker 4: Yeah, well I was just just going to add on
• 17:34
  Speaker 4: you know, uh, two things, one conceptual and one practical.
• 17:40
  Speaker 4: There's this is a fourth intelligence on the planet.
• 17:43
  Speaker 5: Right, So if you believe as I.
• 17:45
  Speaker 4: Do, you have the original intelligence. You know, we call
• 17:49
  Speaker 4: it God and call the universe called whatever you want
• 17:51
  Speaker 4: you But there's a great intelligence that uh, you know,
• 17:57
  Speaker 4: I believe is divine. That intelligence gave rise to what
• 18:02
  Speaker 4: you would call nature, the natural world, which is very intelligent,
• 18:07
  Speaker 4: biological but non human, but very intelligent. Uh, go in
• 18:12
  Speaker 4: the ocean, you see, you know, go in the forest
• 18:14
  Speaker 4: is very intelligent. But then that biological non human intelligence
• 18:19
  Speaker 4: gave rise to us, who are you know, biological human intelligence,
• 18:23
  Speaker 4: and that we've given rise to a fourth intelligence, which
• 18:26
  Speaker 4: is non biological, non human intelligence, artificial intelligence.
• 18:31
  Speaker 5: That's the fourth intelligence.
• 18:32
  Speaker 4: And so you now the next the rest of the
• 18:35
  Speaker 4: century is going to be determined by how did these
• 18:37
  Speaker 4: intelligences interact with each other.
• 18:40
  Speaker 1: Anybody who did not recognize when I said that Van
• 18:42
  Speaker 1: Jones is a genius and you just singing with scen in,
• 18:46
  Speaker 1: don't get it.
• 18:46
  Speaker 2: You only getting a slice of him, replay what he
• 18:49
  Speaker 2: just said, because it's.
• 18:50
  Speaker 1: Smarter I think I am. I've never framed I was
• 18:54
  Speaker 1: still with acknowledgement. Van Jones just said. That was Van
• 18:58
  Speaker 1: Jones was telling me there were four people there are
• 19:00
  Speaker 1: for a countries that want to just take America out.
• 19:04
  Speaker 1: I mean, I thought about this, I had part of
• 19:05
  Speaker 1: it right. But Iran, North Korea, China, Russia, and they're
• 19:12
  Speaker 1: just waiting for us to screw up.
• 19:13
  Speaker 2: They can't win in a fair fight.
• 19:15
  Speaker 1: But we're just so busy tripping over each other and
• 19:17
  Speaker 1: fighting over politics and black and white and red and blue,
• 19:20
  Speaker 1: which by the way, is an externally generated fight Jewish
• 19:24
  Speaker 1: and black, but externally a generated fight of us against us,
• 19:28
  Speaker 1: because that's what they swoop in and lead. But band
• 19:31
  Speaker 1: throughout another knowledge bomb on you with these four intelligences
• 19:36
  Speaker 1: that I've never heard before.
• 19:37
  Speaker 2: You need to listen. To listen to podcasts. It reversed.
• 19:43
  Speaker 3: Again.
• 19:43
  Speaker 2: We don't have a lot of times I want asked
• 19:45
  Speaker 2: to repeat it. But that was that was That was.
• 19:51
  Speaker 5: The reason. The reason I'm saying because I wanted.
• 19:53
  Speaker 4: I wanted to give it back to Sheldon, which is
• 19:57
  Speaker 4: if you look at the first three intelligences, how to
• 19:59
  Speaker 4: basically God Nature. God gives rise to nature, and nature
• 20:02
  Speaker 4: gives rise to man. And then man turns around and
• 20:04
  Speaker 4: abuses nature and.
• 20:08
  Speaker 5: Badly.
• 20:09
  Speaker 4: I mean the planet is overheating, were floods, fires and extinctions, whatever,
• 20:15
  Speaker 4: and often disrespects God. So now we've given rise to
• 20:19
  Speaker 4: something else, artificial intelligence, you should be worried because if
• 20:23
  Speaker 4: it then turns around and abuses us the way we've
• 20:26
  Speaker 4: abused nature and disrespects us the way we've disrespected God.
• 20:29
  Speaker 5: You can now see karma is a mug. So what
• 20:33
  Speaker 5: you don't.
• 20:34
  Speaker 4: Want right as we move forward is to have uh,
• 20:40
  Speaker 4: this new civilization that's emerging be lacking in wisdom, lacking
• 20:47
  Speaker 4: in compassion, lacking in morals. There's a there is a
• 20:52
  Speaker 4: reason for African descended people to be engaged now because
• 20:57
  Speaker 4: you're about to have a society where the leading technology
• 21:00
  Speaker 4: to use all data and know wisdom. That's a great danger,
• 21:03
  Speaker 4: I think. And so it's important for us from a
• 21:06
  Speaker 4: practical point of view, as you're pointing out, to try
• 21:09
  Speaker 4: to begin to evolve our professions and evolve our ability
• 21:12
  Speaker 4: to compete, but also to recognize we have something to
• 21:16
  Speaker 4: offer now because we know what happens when a single group,
• 21:20
  Speaker 4: a single ethnicity decided it's going to recreate human civilization.
• 21:25
  Speaker 4: That happened forty years ago. Europe, you know, jumped the
• 21:28
  Speaker 4: queue and redesigned civilization, and we had slavery, we had colonialism,
• 21:33
  Speaker 4: we had ecological destruction.
• 21:34
  Speaker 5: You need everybody at the table.
• 21:36
  Speaker 4: I think around technology that's powerful, to make sure that
• 21:39
  Speaker 4: it reflects wisdom and decency. And I wonder, Sheldon, if
• 21:44
  Speaker 4: you agree, in adition to the professional part, there is
• 21:45
  Speaker 4: also the purpose part that we got to deal with.
• 21:48
  Speaker 3: Yeah. I think, Look, I think those four layers that
• 21:51
  Speaker 3: you laid out there then are really astute. I think
• 21:55
  Speaker 3: there there's actually some sort of quitic aspect of that too,
• 21:59
  Speaker 3: because in many ways the constructs for artificial intelligence based
• 22:04
  Speaker 3: on what it called neural networks, which is basically trying
• 22:06
  Speaker 3: to mimic the emon brain. My background is in moleculy
• 22:11
  Speaker 3: molecular genetics, and so my entire thing and the way
• 22:14
  Speaker 3: in which I think about the world is.
• 22:16
  Speaker 2: The lens of sea. Again, do you mean to turn
• 22:21
  Speaker 2: you on?
• 22:21
  Speaker 1: John? But you see a whole bunch of women.
• 22:25
  Speaker 2: Like, I don't know what, I'm completely straight what you say?
• 22:32
  Speaker 3: Yeah, no, no, So it's an interesting thing. It's called
• 22:35
  Speaker 3: it's a whole feel called molecular genetics. You're trying to
• 22:38
  Speaker 3: understand genes and inheritance and heredity. But at the small
• 22:43
  Speaker 3: sort of molecular level. What does that mean understanding how
• 22:46
  Speaker 3: DNA is formed, how DNA is basically unravels itself, makes copies, forms, proteins,
• 22:53
  Speaker 3: everything in life. So so this all ties together here,
• 22:55
  Speaker 3: here's the interesting thing. And people say all the time, like, wait,
• 22:59
  Speaker 3: so you know your background is molecular genetics, how did
• 23:02
  Speaker 3: you end up in encoding? And I said, you do
• 23:04
  Speaker 3: realize the person I actually wrote out door programming, Java
• 23:08
  Speaker 3: and those different things and Python was actually a MALECLI biologist.
• 23:11
  Speaker 3: So all these terms have deep references around each other.
• 23:14
  Speaker 3: So these terms like polymorphism inheritance. The more importantly is
• 23:17
  Speaker 3: this you could have to you to imagine that these
• 23:23
  Speaker 3: systems that are being built out are trying to mimic nature.
• 23:26
  Speaker 3: They try to mimic the natural order. So the new
• 23:28
  Speaker 3: thing right now around drones and military systems, there is
• 23:32
  Speaker 3: whole no strong swarms, and how do you actually have
• 23:35
  Speaker 3: these swarms on the battlefield regulate themselves. They study ant colonies,
• 23:40
  Speaker 3: they study, like my background, particulars around the immune system.
• 23:45
  Speaker 3: And so the immune system is one of the most
• 23:48
  Speaker 3: to me, that's the true artificial it's true intelligence. As
• 23:52
  Speaker 3: you mentioned before, it's like just if you think about
• 23:54
  Speaker 3: how the immune system acts, it's remarkable. As we're sitting here,
• 23:58
  Speaker 3: there are trillions of things invading our bios and our
• 24:01
  Speaker 3: genes are literally turning things on and off to try
• 24:04
  Speaker 3: and help us evade the attack. It's going through constant simulations,
• 24:09
  Speaker 3: and so all these new digital systems are trying to
• 24:12
  Speaker 3: mimic that. Whether it's called the neural network. So all
• 24:16
  Speaker 3: these things are based on these true organic biological systems,
• 24:21
  Speaker 3: and we're trying to mimic that as much as we can.
• 24:23
  Speaker 3: Now here's the reality. Look, that's very a lot of concern,
• 24:26
  Speaker 3: a lot of dystopy around, you know, artificial and general intelligence.
• 24:30
  Speaker 3: The robots are taking over. Like look, as someone who's
• 24:33
  Speaker 3: who operates in the space, we're far away from artificial
• 24:37
  Speaker 3: general intelligence, so that that we're still very far away.
• 24:41
  Speaker 3: That said, that said, what is very real is the
• 24:45
  Speaker 3: ability of these things to do a lot of processing
• 24:49
  Speaker 3: and synthesis of information that it's going to cause massive
• 24:52
  Speaker 3: economic dislocation jobs very quickly. So for everything from being
• 24:56
  Speaker 3: a law clerk to being an assistant to be all
• 25:01
  Speaker 3: these different things are rapidly going to change, and so
• 25:06
  Speaker 3: we have to pay very very close attention to that.
• 25:08
  Speaker 3: But you know, one of the things that someone said is, look,
• 25:11
  Speaker 3: we don't have to don't necessarily worry about being replaced
• 25:13
  Speaker 3: by AI, but we have to be worried about being
• 25:15
  Speaker 3: replaced by people who know how to use AI. I'm
• 25:17
  Speaker 3: in that ladder camp. I'm focusing extensively on making sure
• 25:21
  Speaker 3: that we're being equipped. So companies before they had teams
• 25:25
  Speaker 3: of about thirty to forty people and John, they're going
• 25:28
  Speaker 3: to shrink down to about twelve people. And the people
• 25:30
  Speaker 3: that are left are going to be sort of these
• 25:32
  Speaker 3: super employees, and they're going to be having these teams
• 25:35
  Speaker 3: of part of agents that are working alongside them. That's
• 25:37
  Speaker 3: what I'm thinking about. I want to make sure that
• 25:40
  Speaker 3: our communities are not left behind this AI agentic economy,
• 25:43
  Speaker 3: because if we're not careful, that's being calcified already.
• 25:47
  Speaker 4: Can I say in the positives this is the biggest
• 25:51
  Speaker 4: opportunity for black progress ever. So everything that you're saying
• 25:57
  Speaker 4: is scary and weird, but it's not just scary we're
• 26:00
  Speaker 4: black folks. It's scary and weird period. There is such
• 26:02
  Speaker 4: a number. Don't lose your fears, trans thought.
• 26:05
  Speaker 1: But what we can't talk about as a meeting we
• 26:07
  Speaker 1: were just at which we can't even acknowledge the meeting
• 26:09
  Speaker 1: just happened, but what we heard at the meeting didn't
• 26:12
  Speaker 1: happen is there's almost another podcast episode, uh that's a
• 26:18
  Speaker 1: layer scarier than this one.
• 26:20
  Speaker 2: Basically what we heard is coming.
• 26:22
  Speaker 1: But anyway, so continue, but I think this is a
• 26:25
  Speaker 1: what I'm hearing is that we got to do this
• 26:27
  Speaker 1: again to go a layer deeper so we can truly
• 26:30
  Speaker 1: prepare our people for what's coming and not to be
• 26:32
  Speaker 1: afraid of it, but when you're being run out of town,
• 26:35
  Speaker 1: get in front of the crowd, made like a parade,
• 26:37
  Speaker 1: and oddly that black people are uniquely positioned this time
• 26:40
  Speaker 1: to continue van.
• 26:41
  Speaker 2: I think that is where you're going.
• 26:42
  Speaker 4: Yeah, yeah, This is what I'm saying, is that on
• 26:46
  Speaker 4: the one hand, you know, someone listening this might be thinking, Wow,
• 26:49
  Speaker 4: this dude's saying that basically, you know, robots and computer
• 26:53
  Speaker 4: computer programs are going to replace me, and so that
• 26:56
  Speaker 4: that could that could be very disparaging. Hope as you're
• 27:01
  Speaker 4: listening to this that everybody else listening to this feels
• 27:04
  Speaker 4: that way except you. Now, let me talk to you.
• 27:08
  Speaker 4: What you should be saying is I could build. If
• 27:13
  Speaker 4: I lean into this and I learned how to use
• 27:14
  Speaker 4: these tools, I can be in the twelve. If it's
• 27:18
  Speaker 4: going to go from from thirty to twelve, I can
• 27:20
  Speaker 4: be in the twelve.
• 27:21
  Speaker 3: That's exactly it. And I want to talk about this
• 27:23
  Speaker 3: specifically what you need to do to make sure that
• 27:25
  Speaker 3: you're in that twelve. I got a friend who's who's
• 27:27
  Speaker 3: she's becoming a real estate agent, potentially leaving journalism entering
• 27:30
  Speaker 3: real estate, and I asked her about that. I said,
• 27:33
  Speaker 3: you do know the world you're entering. She's like, what
• 27:35
  Speaker 3: do you mean, Mike, you heard the word agent. Okay,
• 27:39
  Speaker 3: that's going to that may be you, it may be
• 27:42
  Speaker 3: a system, but how do we make sure that you
• 27:45
  Speaker 3: become the super real estate agent that's leveraging these new capabilities?
• 27:50
  Speaker 3: And she was showing me all these different tools. I
• 27:51
  Speaker 3: think we got to do it for just about every
• 27:54
  Speaker 3: every system that's out there. Look, there's still going to
• 27:56
  Speaker 3: be a need for what's called HILD is a term
• 27:58
  Speaker 3: HILD human in the loop. So companies are making sure
• 28:01
  Speaker 3: that the people whose entire job is to build these
• 28:05
  Speaker 3: systems and managing these systems sort of quarterbacking those systems,
• 28:09
  Speaker 3: and every field is going to have that. It'd be
• 28:11
  Speaker 3: great to actually talk about how you could be that
• 28:13
  Speaker 3: for any field that you're in. How do you make
• 28:15
  Speaker 3: sure that you are familiar with these agents and you're
• 28:17
  Speaker 3: helping to manage them along with the other other teams.
• 28:19
  Speaker 3: And the premium is going to be in human relationships.
• 28:22
  Speaker 2: Yeah.
• 28:22
  Speaker 4: So, so, for instance, if you're listening to this, if
• 28:26
  Speaker 4: you have not downloaded chat, GPT downloaded as simple as that.
• 28:31
  Speaker 4: Some people haven't even done that yet. And I'll tell
• 28:33
  Speaker 4: you why. There was a time. I'm a little bit
• 28:36
  Speaker 4: older than my brother Sheldon. There was a time when
• 28:39
  Speaker 4: there was a real digital divide. It was a hardware divide.
• 28:45
  Speaker 4: I can't remember how many meetings and clean as we
• 28:49
  Speaker 4: went through talking about one laptop per child.
• 28:51
  Speaker 5: We've got to get one laptop per child.
• 28:54
  Speaker 4: And you know, and and now everybody has one of
• 28:56
  Speaker 4: these devices in their back pocket. So so the one
• 28:59
  Speaker 4: laptop for child is already solved. It's in your back
• 29:01
  Speaker 4: pocket right now.
• 29:02
  Speaker 2: So it's not an.
• 29:03
  Speaker 1: Only just showed you basically his iPhone. This is essentially
• 29:06
  Speaker 1: a microcomputer in your pocket.
• 29:08
  Speaker 4: Yeah, So so you know, we all have to be
• 29:11
  Speaker 4: the ten years we spent crying about one laptop child,
• 29:13
  Speaker 4: you never have to cry that again. Everybody's got some
• 29:15
  Speaker 4: kind of smartphone in their back pocket. That problem has
• 29:17
  Speaker 4: been solved. So the digital divide is not a hardware divide.
• 29:21
  Speaker 4: You've got the hardware in your pocket. It's not a
• 29:23
  Speaker 4: software divide. It used to be you have to spend
• 29:25
  Speaker 4: money to you know, buy you buy all these software
• 29:28
  Speaker 4: packages and get them on the laptop. You can download chat,
• 29:31
  Speaker 4: GPTO free, fr Ee free, and so it's not a
• 29:38
  Speaker 4: hardware divide. It's not a software divide. It's a wetware divide.
• 29:43
  Speaker 4: The wetware in your brain, the wetwear between your ears
• 29:47
  Speaker 4: is telling you this is this is scary. Stuff is
• 29:49
  Speaker 4: for white folks. It's going to come and get me,
• 29:52
  Speaker 4: and it's stopping you from getting the best coach, the
• 29:57
  Speaker 4: best lawyer you will ever have four free on your
• 30:00
  Speaker 4: phone right now before this podcast is over, you should.
• 30:03
  Speaker 3: Ceto the best strategic thinker. All those different things.
• 30:05
  Speaker 1: You know you can take Sheldon co creator absolutely absolutely creator, Yeah,
• 30:13
  Speaker 1: a thousand percent.
• 30:14
  Speaker 5: Listen.
• 30:14
  Speaker 3: You know, you know John, I know this is also
• 30:16
  Speaker 3: a podcast about entrepreneurism, So you know what. Listen, just
• 30:20
  Speaker 3: take what what what then said, let's extend it to
• 30:22
  Speaker 3: be for entrepreneurs. Well, there are four main things that
• 30:25
  Speaker 3: were that guided the success of the company.
• 30:27
  Speaker 2: Right.
• 30:27
  Speaker 3: The first thing I remember years ago when I first
• 30:29
  Speaker 3: run my first tech startup the capital. So you basically
• 30:32
  Speaker 3: need to basically have access to engineers. You need engineering talent.
• 30:35
  Speaker 2: That was number one.
• 30:36
  Speaker 3: Number two, you needed computational infrastructure, data centers, these different things.
• 30:41
  Speaker 3: Thirty needed capital. You raised the capital so you could
• 30:43
  Speaker 3: get the engineers, get the infrastructure. And fourth was domain
• 30:46
  Speaker 3: expertise and relationships. I got to tell you the first
• 30:51
  Speaker 3: three of falling. The first three of falling AI is
• 30:55
  Speaker 3: the great equalizer. Listen, you could pull out your credit
• 30:58
  Speaker 3: card and start renting clocking, you know, on an AWS
• 31:01
  Speaker 3: right now, and with with a lot of the coding
• 31:05
  Speaker 3: agents that are available through Cursor and others, you actually,
• 31:09
  Speaker 3: you know, you can actually get a lot done written
• 31:12
  Speaker 3: a I can now write code somewhat better than most
• 31:14
  Speaker 3: human beings. At this point, we're probably about two cycles
• 31:16
  Speaker 3: of a way by GPT five for sure. Along those lines,
• 31:20
  Speaker 3: so does a baron of entry has been significantly reduced.
• 31:22
  Speaker 3: And you know what the you know what the premium
• 31:24
  Speaker 3: is now on is on human relationships. It is your
• 31:28
  Speaker 3: ability to actually know how to articulate your ideas. Meet
• 31:33
  Speaker 3: with the prime minister of Jamaica, Botswana or Nepal and
• 31:37
  Speaker 3: talk about how you're going to help modernize the electrical
• 31:40
  Speaker 3: grid system or the mayor is this exactly, let's school
• 31:44
  Speaker 3: board president, exactly what?
• 31:46
  Speaker 1: And by the way, let's say say this for the
• 31:48
  Speaker 1: average person listening to this, Uh, we're all average, but
• 31:51
  Speaker 1: we're also extoring there. You're listening to this, you're saying,
• 31:54
  Speaker 1: how does it relate to me. I want you to
• 31:55
  Speaker 1: think before we run out of time here. You don't
• 31:57
  Speaker 1: want everybody get the last word and tell me what
• 32:00
  Speaker 1: do you want us to continue this series on Ai
• 32:02
  Speaker 1: and you? But think about everything in your world is
• 32:05
  Speaker 1: about to be reimagined. Everything from the most basic thing
• 32:10
  Speaker 1: the cup that you're drinking from, the hair, the brush
• 32:15
  Speaker 1: that you comb your hair with and how you comb here.
• 32:18
  Speaker 1: I mean, I'm being a little crazy, but you're gonna
• 32:20
  Speaker 1: have three hundred million robots or one hundreds of millions
• 32:23
  Speaker 1: of robots amongst us human eyed robots in your lifetime.
• 32:26
  Speaker 1: You're gonna have three hundred million virtual robots by twenty thirty.
• 32:30
  Speaker 1: But think about Sheldon Man help me out here. The phone,
• 32:34
  Speaker 1: the how furniture gets produced, your medicine, your medicine.
• 32:39
  Speaker 3: How how you can sue media, how educated where you
• 32:44
  Speaker 3: consume media?
• 32:45
  Speaker 2: What is a network?
• 32:46
  Speaker 3: What do you care free? How do you care for
• 32:48
  Speaker 3: our elders?
• 32:49
  Speaker 4: Yeah, elder care for the reason why.
• 32:54
  Speaker 2: You can change everything wherever you are. You can be
• 32:57
  Speaker 2: a pioneer today. I see you combine this with your
• 33:01
  Speaker 2: passion sports. Great event.
• 33:03
  Speaker 4: So again, just trying to keep it as practical as possible.
• 33:07
  Speaker 4: All this stuff might sound way outlandish, download Shaggy Peach
• 33:13
  Speaker 4: and literally just say I'm scared, I want your advice.
• 33:18
  Speaker 4: I'm a nurse, I'm of this, I'm of that. How
• 33:20
  Speaker 4: could I use AI to become a super employee or
• 33:24
  Speaker 4: a super employer? And it will tell you for free
• 33:29
  Speaker 4: in two seconds. You literally need you don't have to
• 33:31
  Speaker 4: be afraid of it. It will literally tell you what
• 33:34
  Speaker 4: to do, and it will ask you is this good
• 33:36
  Speaker 4: enough idea?
• 33:37
  Speaker 5: Do you want more of this? You want more of that?
• 33:38
  Speaker 4: And you can guide it and literally, this afternoon you
• 33:42
  Speaker 4: can become an expert in how to become an expert.
• 33:45
  Speaker 5: That is what's so amazing.
• 33:46
  Speaker 4: You would have had to go and take a test,
• 33:49
  Speaker 4: apply to college, and spend four years to get the
• 33:52
  Speaker 4: information you can get this afternoon. And why is that?
• 33:56
  Speaker 4: There used to be something called water spit ten thousand years,
• 34:02
  Speaker 4: the hardest thing to get with some clean water. That's
• 34:03
  Speaker 4: why everybody lives along rivers and stuff like that, because
• 34:07
  Speaker 4: clean water it's hard to get. Modern city and modern cities,
• 34:10
  Speaker 4: et cetera. Now you don't even think about it. If
• 34:14
  Speaker 4: you live in an an industrial country, you just turn
• 34:16
  Speaker 4: a screw and the water comes out. You don't have
• 34:19
  Speaker 4: to walk down to the river with the thing on
• 34:20
  Speaker 4: your head and come back. What is right there. Intelligence
• 34:25
  Speaker 4: is now right there. You used to have to walk
• 34:27
  Speaker 4: down the street and take an sat and get it
• 34:30
  Speaker 4: rolled in a program of it's right there. So now
• 34:35
  Speaker 4: everything that John and Sheldon's been telling you should go
• 34:38
  Speaker 4: from being frightening to being liberating. Yes, AI is going
• 34:42
  Speaker 4: to tear the floor out from under you, but it's
• 34:45
  Speaker 4: also going to tear the ceiling off from over you.
• 34:47
  Speaker 4: You can literally fall or fly based on your own effort.
• 34:52
  Speaker 4: And that's all we've ever wanted in the first place.
• 34:54
  Speaker 4: That's called freedom. That's what freedom is. And you now
• 34:58
  Speaker 4: have a jet pack. You have a jet pack is
• 35:01
  Speaker 4: for free on your phone. I'm a JATGBT claude. I'm
• 35:04
  Speaker 4: not picking anyone, but I'm just saying that that's when
• 35:06
  Speaker 4: you heard of get that one and literally everything that
• 35:09
  Speaker 4: just made you feel uncomfortable from what John O'Brien, Van
• 35:12
  Speaker 4: Jones and Sheldon said. You can tell the AI and
• 35:15
  Speaker 4: it will give you the answer. And you say, give
• 35:18
  Speaker 4: me a curriculum to stay this stuff? What books are
• 35:20
  Speaker 4: I reading?
• 35:20
  Speaker 2: What order?
• 35:22
  Speaker 3: It will tell you that too. Absolutely, by the way,
• 35:24
  Speaker 3: if you watch some of the leaders in tech talk
• 35:26
  Speaker 3: about it. I was just watching podcasts recently with Michael
• 35:29
  Speaker 3: dell Or Synthion and Jensen. They tell you all the
• 35:31
  Speaker 3: time that they spend the weekend, and I do the
• 35:35
  Speaker 3: same thing. I'll say, Okay, the ten year you'l curve.
• 35:39
  Speaker 3: We explain that to me like I'm in third grade,
• 35:42
  Speaker 3: or explain that to me like I'm like him in
• 35:44
  Speaker 3: eleventh grade. And then you know what I then do,
• 35:46
  Speaker 3: I'll say, quiz me, quiz me, it's next level. Oh,
• 35:51
  Speaker 3: I give you two quick antidotes. By the way, at
• 35:52
  Speaker 3: a friend who's trying to negotiate a job at this company. Well,
• 35:57
  Speaker 3: she's been this twenty years and you bought this has
• 36:00
  Speaker 3: come in and she's a little bit nervous come back
• 36:01
  Speaker 3: from betraying Eve and so forth. I said. She said, Sho,
• 36:04
  Speaker 3: I'm godn't tell me about something, Judge, Mike, hold on
• 36:06
  Speaker 3: a second. Give me the person's give me your new
• 36:07
  Speaker 3: boss's LinkedIn profile. She's like, what are you doing, Mike?
• 36:10
  Speaker 3: Watch this? I loaded in her new boss's LinkedIn profile.
• 36:15
  Speaker 3: I didn't load it in my friends LinkedIn profile. I said, Okay,
• 36:17
  Speaker 3: judgept this is the person's new boss come up with
• 36:20
  Speaker 3: a script for how they should negotiate the new salary.
• 36:23
  Speaker 3: She was blown away and she used that gut okay.
• 36:36
  Speaker 2: No, let us w to a lunch.
• 36:38
  Speaker 1: And I was running tight on time and with a
• 36:41
  Speaker 1: really powerful guy on Wall Street. I knew I liked him.
• 36:44
  Speaker 1: I just didn't know why. I just had a vibe.
• 36:46
  Speaker 1: I said, look, I got three names. We'll give it
• 36:48
  Speaker 1: this lunch. Tell me this is the person's name. Tell
• 36:51
  Speaker 1: me how what what's correlation to this person? And John
• 36:54
  Speaker 1: O'Brien have are we? Is my gut feeling right to
• 36:57
  Speaker 1: be a common threads man. Three seconds later, it's here, Yeah,
• 37:03
  Speaker 1: your story and his story and he connect and capital
• 37:07
  Speaker 1: and community and here's here's the value added.
• 37:10
  Speaker 3: I'm never exactly exactly. And John, here's the other thing
• 37:13
  Speaker 3: I tell people all the time is what Ben said.
• 37:14
  Speaker 3: It's actually spot on the same thing with you. John's
• 37:17
  Speaker 3: to take it to the next level. If there's an
• 37:19
  Speaker 3: article that someone has just sent to your boss, your friend, whomever,
• 37:23
  Speaker 3: take that copy that you are all that link, put
• 37:26
  Speaker 3: it into chat GPT and said, could you give an
• 37:28
  Speaker 3: executive summary of this article? Can you tell me how
• 37:31
  Speaker 3: this article is related?
• 37:32
  Speaker 1: To this.
• 37:32
  Speaker 3: It can summarize it for you could send this even
• 37:34
  Speaker 3: behind the paywall, by the way, so this is just
• 37:37
  Speaker 3: we I got a ton of these things. There's a
• 37:39
  Speaker 3: bunch of these, but that's one of the ones I
• 37:41
  Speaker 3: think is a is a massive unlock when you actually
• 37:44
  Speaker 3: have it sort of distilling information if you and synthesizing information.
• 37:48
  Speaker 3: By the way, guess what your boss is already doing it? Yes, okay, okay.
• 37:54
  Speaker 1: So the Van's gonna have to go on TV soon
• 37:56
  Speaker 1: and and Sheldon's got to go make another billion dollars
• 37:59
  Speaker 1: for somebody. Uh, Sheldon tries to rein with what he's
• 38:03
  Speaker 1: doing around AI. I'm doing financial literacy, Van's doing, you know,
• 38:10
  Speaker 1: trying to heal the world. And we're trying to bring
• 38:12
  Speaker 1: these three things together for a new movement for all people,
• 38:17
  Speaker 1: by the way, but certainly underserved people. When manstream, Maria
• 38:19
  Speaker 1: has a headache, black and brafelks have pneumonia, but we're
• 38:22
  Speaker 1: all sick. Uh. We got to get the folks who
• 38:24
  Speaker 1: have pneumonia first because they're the most at risk. But
• 38:27
  Speaker 1: here's the first what Vana said is those were at
• 38:30
  Speaker 1: the bottom have a chance. The folks who folk who
• 38:32
  Speaker 1: don't get hit. Yes, if you work at CBS or
• 38:34
  Speaker 1: a grocery store, your job's going the way. Okay.
• 38:38
  Speaker 2: Uh, you say that automation at the check check out
• 38:40
  Speaker 2: count in the grocery store. Okay, that's obvious.
• 38:42
  Speaker 1: But also the countains the middle class folks who work
• 38:45
  Speaker 1: their whole life to get If they don't retool themselves,
• 38:49
  Speaker 1: they're done and that severe income is gonna disappear. So
• 38:54
  Speaker 1: you're it's planeflow has been leveled. We don't want anybody
• 38:57
  Speaker 1: to be run over by this, right, But if you're
• 39:00
  Speaker 1: black and brown, you used to crisis. You're the crisis
• 39:02
  Speaker 1: every Tuesday.
• 39:03
  Speaker 2: So this is you.
• 39:06
  Speaker 1: So we want you to give you the army with
• 39:07
  Speaker 1: the tools to be successful and then help your brother
• 39:10
  Speaker 1: and sister come up. Be they black, white, brown, yellow,
• 39:12
  Speaker 1: be they middle classlas. We're all in this thing together,
• 39:15
  Speaker 1: the world starting a new man. Oh, let give us
• 39:18
  Speaker 1: some walk off music. Yes, what do you have to
• 39:21
  Speaker 1: say to folks as you and you know, we don't
• 39:23
  Speaker 1: have time to get into why this relates to the
• 39:25
  Speaker 1: Black Jewish conversation or the global conversation or the other converses.
• 39:29
  Speaker 1: But you're normally five or ten years ahead of everybody else.
• 39:31
  Speaker 1: In your thought leadership. Folks don't understand you. That doesn't
• 39:34
  Speaker 1: mean you're wrong. That means that they're not caught up yet.
• 39:37
  Speaker 1: I need to say as a drunk the mic and
• 39:38
  Speaker 1: then Sheldon will leave you with the last word.
• 39:42
  Speaker 4: Yeah, I just I just think the main thing I
• 39:44
  Speaker 4: would just say is to be encouraged. Be encouraged. You know,
• 39:48
  Speaker 4: no pressure, no diamonds. All the things that we've gone through,
• 39:52
  Speaker 4: that you've gone through has really prepared you for a
• 39:54
  Speaker 4: time like this. You've been through the stuff and you
• 39:58
  Speaker 4: know how to make a way out of no way.
• 40:00
  Speaker 4: There's this This thing can either be a hand grenade
• 40:02
  Speaker 4: or it can be a jet pack. It really just
• 40:04
  Speaker 4: depends on how you choose to relate to it. And
• 40:07
  Speaker 4: if you move first and you say, you know what
• 40:11
  Speaker 4: I can ask it. I want to do a business
• 40:13
  Speaker 4: on this is a good idea, bad idea? What I
• 40:16
  Speaker 4: need to do? It will literally teach you whatever you
• 40:18
  Speaker 4: need to know, because all the intelligence has been been
• 40:21
  Speaker 4: put in there now sometimes to be hallucinating and you
• 40:23
  Speaker 4: have to like double Checkstu. But just to Claire that
• 40:28
  Speaker 4: this is your moment's Claire, that this line that you've
• 40:32
  Speaker 4: been standing at the back of is about to get
• 40:34
  Speaker 4: blown away anyway, and so you get a chance to
• 40:37
  Speaker 4: fly or fall based on your own effort. But with
• 40:39
  Speaker 4: technology that you know we can only dream of. To me,
• 40:44
  Speaker 4: if you said you can have reparations, that you can
• 40:45
  Speaker 4: have AI, I would take AI every time, because you know,
• 40:49
  Speaker 4: if you gave me reparations and I had no knowledge
• 40:52
  Speaker 4: of what to do with it, I would be in trouble.
• 40:54
  Speaker 4: But if you give me AI, I can figure out
• 40:56
  Speaker 4: way to get reparations times one thousand. That's the way
• 41:00
  Speaker 4: should be thinking about this thing. Hey man, shel does
• 41:03
  Speaker 4: she have to bring us home?
• 41:04
  Speaker 3: Yeah?
• 41:06
  Speaker 1: You know.
• 41:06
  Speaker 3: And where I began by saying that, like both of
• 41:10
  Speaker 3: you said, I think so eloquently, is that this became.
• 41:12
  Speaker 3: This is the deepest repository of human knowledge collected together.
• 41:15
  Speaker 3: I think that's the first order is how do we
• 41:17
  Speaker 3: actually learn from this? The second thing is about action.
• 41:21
  Speaker 3: How do we actually make it act on our behalf.
• 41:23
  Speaker 3: We've never dealt with a substrate like this before they
• 41:27
  Speaker 3: could act in our behalf. This is a whole thing
• 41:28
  Speaker 3: called vibe coding. You sort of basically tell the system
• 41:31
  Speaker 3: what you're thinking about building, and will build it for you.
• 41:33
  Speaker 3: This is literally what is happening. Look, next week, we
• 41:37
  Speaker 3: have a meeting with a number of students through a
• 41:40
  Speaker 3: programm with Accentsure teaching high school students about agents. You know,
• 41:43
  Speaker 3: We're going to teach them about emergency evacuations for the
• 41:48
  Speaker 3: next forest fire, for the next flesh floods, for the
• 41:52
  Speaker 3: next earthquake. They're going to be building agents that could
• 41:55
  Speaker 3: scan all the real time news reports, things on Twitter,
• 41:58
  Speaker 3: all these different feeds and will then basically connect to
• 42:01
  Speaker 3: mechanism that will actually do three one to one notifications
• 42:04
  Speaker 3: based on their location right based on their location on
• 42:08
  Speaker 3: their cell phones, and to tell them to the nearest
• 42:11
  Speaker 3: areas for emergency evacuation. They can now build the plumbing
• 42:18
  Speaker 3: for the emergency relief infrastructure. We're just getting started. This
• 42:22
  Speaker 3: is about agency. That's the ultimate driver. Here is agent
• 42:27
  Speaker 3: self agency amplified at a level that we've never seen before.
• 42:32
  Speaker 1: I want everybody to tell your friends about this podcast episode.
• 42:36
  Speaker 1: Share it, start a conversation and your fraternity, your sorority,
• 42:41
  Speaker 1: your community group at the barbershop. Play This was a
• 42:45
  Speaker 1: short episode. It's forty two minutes. I want you to
• 42:46
  Speaker 1: play this and you can cut down pieces of it.
• 42:49
  Speaker 1: Any One piece of this for five minutes will be
• 42:51
  Speaker 1: an hour long conversation. I want you to reimagine everything.
• 42:56
  Speaker 1: This is why I keep saying we got to make
• 42:58
  Speaker 1: stop making dumb sexy. You gotta make smart sexy again.
• 43:02
  Speaker 1: Because if you're dumb as rocks, if you think bling sings,
• 43:08
  Speaker 1: if you are locked in this old narrative of look
• 43:11
  Speaker 1: the part, but not be the part, you can't take
• 43:14
  Speaker 1: advantage of what we just talked about. So, in other words,
• 43:16
  Speaker 1: crap in, crap out, and you will crap out if
• 43:19
  Speaker 1: you take what they just said this you download this up.
• 43:23
  Speaker 1: But you're not creative because it's the creativity is your superpower.
• 43:26
  Speaker 1: Now you're not intelligent, creative, and you can't ask the
• 43:29
  Speaker 1: right question. You're not gonna get the right answer, so
• 43:33
  Speaker 1: you can all you be asking, You'll be asking AI
• 43:35
  Speaker 1: for how to get movie tickets? How to get a ticket?
• 43:39
  Speaker 2: You know? Tell you about what you know?
• 43:40
  Speaker 3: Shoes who won the game last night? But do that?
• 43:45
  Speaker 1: So yeah that that I do that too? About being lazy.
• 43:49
  Speaker 1: You'll miss the brilliance. If you here's a good part,
• 43:52
  Speaker 1: may be sorry to the positive. We gotta wrap this up.
• 43:54
  Speaker 1: If you're brilliant, you know you're brilliant, and I know
• 43:58
  Speaker 1: you brilliant. We were doing so much with so little
• 43:59
  Speaker 1: for so long. We'd almost do anything with nothing. If
• 44:01
  Speaker 1: you're black, so if you're brilliant, he was like, I
• 44:04
  Speaker 1: just need a shot. I just need a shot. These
• 44:07
  Speaker 1: guys just gave it to you. Now you can ask
• 44:09
  Speaker 1: the question I asked three, four or five times a day,
• 44:12
  Speaker 1: mind bending questions of my AI agent, mind bending questions.
• 44:16
  Speaker 1: I'll take this and this, smash them together and say, Okay,
• 44:21
  Speaker 1: now tell me how to do.
• 44:22
  Speaker 3: This this third thing exactly.
• 44:24
  Speaker 1: Now I gotta go do it. First of all, I
• 44:26
  Speaker 1: had to have the creativity to think about it. But
• 44:28
  Speaker 1: now I have to exk you on Okay, brand's got
• 44:29
  Speaker 1: to go. But I want you to. I'm trying to
• 44:32
  Speaker 1: light the fuse for you. If you are smart, this
• 44:34
  Speaker 1: is your time. If you're nosy, this is your time.
• 44:38
  Speaker 1: Go ahead, man, listen. I grew up on the edge
• 44:42
  Speaker 1: of a small town in rural West Tennessee. It took
• 44:45
  Speaker 1: me a very long time to figure out how to
• 44:47
  Speaker 1: basically get my twin sister was smarter than me to
• 44:50
  Speaker 1: get her. She got an affirmative bastion of scholarship at
• 44:53
  Speaker 1: the University of Tennessee at Martin, and then she tricked
• 44:55
  Speaker 1: them and to give me one. So I've literally started
• 44:58
  Speaker 1: my career all my sister's affirm of action, the scholarship
• 45:01
  Speaker 1: at the University of Tennessee at Martin. It took me
• 45:03
  Speaker 1: a long time to know when I I know and
• 45:05
  Speaker 1: to get where I am. But that's never going to
• 45:09
  Speaker 1: happen again, because you can now get you your dream
• 45:14
  Speaker 1: so much faster. Everything that took me so long to
• 45:18
  Speaker 1: assemble this relationship, that relationship, this book, that book, but
• 45:21
  Speaker 1: it's all right there in your phone.
• 45:24
  Speaker 5: And so you who.
• 45:25
  Speaker 4: Are the most creative, most imaginative, most innovative. You came
• 45:29
  Speaker 4: up with jazz, you came up with hip hop, you
• 45:31
  Speaker 4: came up with the blues, you came up with gospel.
• 45:33
  Speaker 5: You found a way out of no way.
• 45:35
  Speaker 4: You started black colleges two minutes out of slavery. It
• 45:39
  Speaker 4: wasn't Harvard Law School that figured out that the Constitution
• 45:43
  Speaker 4: wasn't compatible with segregation.
• 45:45
  Speaker 5: That was Howard Law School. That was your school.
• 45:47
  Speaker 4: It wasn't the White Church that figured out the Bible
• 45:50
  Speaker 4: was incompatible with racism. That was the Black Church. So
• 45:53
  Speaker 4: everything you have created from theology to jurisprudence, to art.
• 45:57
  Speaker 4: The culture has been magnificent, has been world's changing, and
• 46:00
  Speaker 4: you had nothing to nothing, nothing but your own brilliance
• 46:04
  Speaker 4: and God's love.
• 46:05
  Speaker 5: Now you have a jet pack. You have a jet pack.
• 46:10
  Speaker 4: Any dream you have, it's possible now in a way
• 46:14
  Speaker 4: that's never been true since we were brought over here
• 46:16
  Speaker 4: four hundred years ago. And so do not let them
• 46:19
  Speaker 4: call you and scare you and and all the tricks
• 46:22
  Speaker 4: of this. This is your time. This is your time,
• 46:26
  Speaker 4: and this is your tool artificial intets.
• 46:28
  Speaker 1: So Van has got to go pulling him for TV.
• 46:30
  Speaker 1: But I want Van to hear this as he walks off,
• 46:33
  Speaker 1: and I want you to hear this. And then Sheldon,
• 46:35
  Speaker 1: you're the last word. There was a joke, not a joke.
• 46:38
  Speaker 1: There was a story about Africa. Somebody told me that
• 46:42
  Speaker 1: blacks had Africans had the land, and unethical missionaries, people
• 46:50
  Speaker 1: posing as missionaries came with the Bible. We turned around
• 46:56
  Speaker 1: and one hundred years later we had the Bible and
• 47:01
  Speaker 1: they had the land. What he's telling you is those
• 47:05
  Speaker 1: rules don't apply anymore. You can't be snookered out of this.
• 47:09
  Speaker 1: You can't be manipulate out of this. You got to
• 47:11
  Speaker 1: give it away. You got to literally just sleep through this,
• 47:13
  Speaker 1: your reserve evolution. This is your time. He's not telling
• 47:16
  Speaker 1: you not to go to college to I don't want
• 47:18
  Speaker 1: you might hear that. He's not telling you not to
• 47:19
  Speaker 1: go to college because you need relationship capital. You hang
• 47:22
  Speaker 1: around nine old people, you'll.
• 47:23
  Speaker 2: Be the tenth.
• 47:24
  Speaker 1: Right, all Harvard is is a group of people who
• 47:26
  Speaker 1: book ease. You are there for forty years. So find
• 47:29
  Speaker 1: whatever group of people who are aspirational. That's college. Great, learn,
• 47:33
  Speaker 1: You're going to learn in different ways, but that relationship
• 47:35
  Speaker 1: capital will be this value at it.
• 47:37
  Speaker 2: Sheldon, bring us home.
• 47:39
  Speaker 3: Yeah, I said, you know before I think also, what
• 47:42
  Speaker 3: we're looking at here, John is you know, discrete steps
• 47:46
  Speaker 3: and advice that can actually give to people. So what
• 47:48
  Speaker 3: I very much look forward to his opportunity. You know,
• 47:50
  Speaker 3: you mentioned the barbershop, you mentioned a couple of other areas.
• 47:54
  Speaker 3: They're very discreet things that we could actually suggest and
• 47:57
  Speaker 3: recommend to people, particularly if you're you know, enterprising, right,
• 48:01
  Speaker 3: we're entrepreneurs. We think we have to do things to survive.
• 48:05
  Speaker 3: And there's so many people that come to me all
• 48:06
  Speaker 3: the time and say, Shell, listen, I'm thinking about starting
• 48:09
  Speaker 3: this business, this business that listen, I'm very flattery. You
• 48:11
  Speaker 3: came to talk to me. I really am. I got
• 48:14
  Speaker 3: someone who's better than me, ten times better than me.
• 48:17
  Speaker 3: It's in your pocket. You can ask anything that you want.
• 48:21
  Speaker 3: It will. It's your lawyer, it's your accountant, it's your
• 48:24
  Speaker 3: finance person. It's all these different things. If you're thinking
• 48:26
  Speaker 3: about creating a bar, you want to launch you own school.
• 48:29
  Speaker 3: You want to create your own Montessori academy, you want
• 48:31
  Speaker 3: to create your own spintech company. You want to start
• 48:33
  Speaker 3: doing crypto minding what it will actually write the code
• 48:37
  Speaker 3: for you. It will tell you the systems to get.
• 48:39
  Speaker 3: We've never been here before, right, and so this whole
• 48:44
  Speaker 3: notion again about agency. That's the amazing thing about this
• 48:46
  Speaker 3: is one thing to ask questions, other thing to say, Okay,
• 48:48
  Speaker 3: now tell me what to do. How do I build this?
• 48:50
  Speaker 3: It will give you the blueprint. It's the blueprint to
• 48:52
  Speaker 3: build it.
• 48:53
  Speaker 2: Yeah, here's the new era.
• 48:55
  Speaker 1: I Evanjol's talk called me that you need to know
• 48:59
  Speaker 1: chell I met Sheldon, who I think. By the way,
• 49:03
  Speaker 1: if you never know, if anybody listening to this on
• 49:05
  Speaker 1: audio podcasts only he's black, I don't know he may
• 49:07
  Speaker 1: have to sound like his brother.
• 49:11
  Speaker 2: Colan Powell. You speak so well, what do you think.
• 49:13
  Speaker 2: I'm an educated man anyway.
• 49:16
  Speaker 1: But for those who are not, he's black. He's just
• 49:19
  Speaker 1: a black genius in tech. And it's great that, by
• 49:22
  Speaker 1: the way, we're talking to black people about this who
• 49:24
  Speaker 1: can talk the same way as everybody else. No disrespect
• 49:27
  Speaker 1: to Sam Altman will co chair that AI at this
• 49:29
  Speaker 1: council with and all the other tech geniuses we need
• 49:31
  Speaker 1: them to.
• 49:31
  Speaker 2: But he's black, and I Dvan sent me to him,
• 49:35
  Speaker 2: and he sent you to your phone. No, nobody's trying
• 49:38
  Speaker 2: to pimp you, trying to get you.
• 49:45
  Speaker 5: In a way.
• 49:47
  Speaker 1: And on that point, we're out. This has been a
• 49:49
  Speaker 1: great conversation. This is Money and Wealth on the Black
• 49:53
  Speaker 1: Effect Network and iHeart Radio. This has truly been a
• 49:55
  Speaker 1: unique podcast episode I get. I challenge you to find
• 49:57
  Speaker 1: another on this topic, Tell all your friends about it,
• 50:03
  Speaker 1: Share this on social media, rints, repeat, share, converse, discuss.
• 50:07
  Speaker 2: There's no right or wrong, it's just forward. I'm out.
• 50:11
  Speaker 2: John O'Brien, Sheldon Gilbert's great, amazing Van Jones Love you Much.
• 50:31
  Speaker 1: Money and Wealth with John O'Brien is a production of
• 50:34
  Speaker 1: the Black Effect Podcast Network. For more podcasts from the
• 50:37
  Speaker 1: Black Effect Podcast Network, visit the iHeartRadio app, Apple podcasts,
• 50:42
  Speaker 1: or wherever you listen to your favorite shows
• 52:00
  Speaker 3: Of Deep