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Cliff Notes: How Tech Companies Hire & Exploring Future A.I Use Cases · Earn Your Leisure

• 0:00
  Speaker 1: An illegal alien from Guatemala charged with raping a child
• 0:03
  Speaker 1: in Massachusetts. An MS thirteen gang member from Al Salvador
• 0:07
  Speaker 1: accused of murdering a Texas man of Venezuelan charged with
• 0:11
  Speaker 1: filming and selling child pornography in Michigan. These are just
• 0:15
  Speaker 1: some of the heinous migrant criminals caught because of President
• 0:19
  Speaker 1: Donald J. Trump's leadership. I'm Christy nom the United States
• 0:23
  Speaker 1: Secretary of Homeland Security. Under President Trump, attempted illegal border
• 0:28
  Speaker 1: crossings are at the lowest levels ever recorded, and over
• 0:31
  Speaker 1: one hundred thousand illegal aliens have been arrested. If you
• 0:35
  Speaker 1: are here illegally, your next you will be fined nearly
• 0:39
  Speaker 1: one thousand dollars a day, imprisoned, and deported. You will
• 0:43
  Speaker 1: never return. But if you register using our CBP home
• 0:46
  Speaker 1: app and leave now, you could be allowed to return legally.
• 0:50
  Speaker 1: Do what's right. Leave now. Under President Trump, America's laws,
• 0:55
  Speaker 1: border and families will.
• 0:57
  Speaker 2: Be protected sponsored by the United States Department of Homeland Security.
• 1:00
  Speaker 2: So let's talk about this well.
• 1:01
  Speaker 3: First and foremost, thank you for joining us.
• 1:03
  Speaker 2: Appreciate it. Thank you.
• 1:04
  Speaker 3: So you were working at I think when we first
• 1:06
  Speaker 3: met you were working at in Video, right, Yeah, what
• 1:10
  Speaker 3: were you doing at in Video.
• 1:12
  Speaker 4: So my title was a Senior Principal scientist primarily, So
• 1:18
  Speaker 4: for joining in Video, I was the chief Analytics Officer
• 1:22
  Speaker 4: for the City of New York. So I really did
• 1:24
  Speaker 4: a lot of my data and AI work in the
• 1:26
  Speaker 4: urban space within city and environments, and so I got
• 1:31
  Speaker 4: to reach out from Jensen and said, hey, look, we
• 1:36
  Speaker 4: want to bring your skill sets into in Video. So
• 1:39
  Speaker 4: a lot of my focus at in Video was on
• 1:42
  Speaker 4: how we use AI and super compute in cities to
• 1:45
  Speaker 4: solve a lot of the complex, intractable challenges in cities
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  Speaker 4: in video. Now, if you want to think about from
• 1:52
  Speaker 4: a product perspective, there's two products at in Video that
• 1:57
  Speaker 4: primarily functioned with and so you have the video Supercompute,
• 2:02
  Speaker 4: which they referred to as superpods as the base infrastructure.
• 2:06
  Speaker 4: But then there was two products was Rapids, which was
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  Speaker 4: like an advanced data science platform and AI platform, and
• 2:13
  Speaker 4: in the other is more well known, which is Omniverse,
• 2:16
  Speaker 4: which is their digital twin technology where they do physics
• 2:20
  Speaker 4: based simulations and three D viewing of anything in the world.
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  Speaker 4: So I primarily functioned in that space, work with cities globally,
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  Speaker 4: work with urban environments, globally to implement AI and supercompute.
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  Speaker 5: All right, so I met.
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  Speaker 6: I know you started at Motorola and then you were
• 2:41
  Speaker 6: at Video, but you're not there anymore. And one of
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  Speaker 6: the conversations we had was about the correlations between college
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  Speaker 6: athletics in the world of tech and the sense of
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  Speaker 6: when you're really good at something, people are always trying
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  Speaker 6: to find you as the next talent. Can you explain
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  Speaker 6: that to the audience of how the tech world has
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  Speaker 6: a correlation to college sports.
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  Speaker 4: Yeah, I think there's two You know, that's such a
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  Speaker 4: great question. I think there's two ways you want to
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  Speaker 4: look at that. First one is in policon Valley, and
• 3:09
  Speaker 4: I spent time not only within Video but at a
• 3:12
  Speaker 4: startup engaging in and around Silicon Valley and Silicon Valley,
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  Speaker 4: they don't if you're at a company, if you're a
• 3:18
  Speaker 4: tech genius, giant, even halfway decent at Silicon Valley, if
• 3:25
  Speaker 4: you stay at a company more than two years, you
• 3:29
  Speaker 4: basically are seen as somebody who's garbage like pass it
• 3:33
  Speaker 4: because they're constantly looking for the best of the best,
• 3:37
  Speaker 4: and they will do anything to pull you from one
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  Speaker 4: company to another. You've seen it in biopicks, whether it's
• 3:42
  Speaker 4: the wee Work biopick or Uber's biopick. Success of a
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  Speaker 4: company is taking the best talent from other companies and
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  Speaker 4: bringing it to your companies. And oftentimes it causes drama
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  Speaker 4: because you know, they got to do backhanded deals and
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  Speaker 4: so on and so forth. But they're always looking for
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  Speaker 4: the top company, so you're always looking to be the
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  Speaker 4: best and the other way I put it in so
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  Speaker 4: I spent a couple of years. I was faculty at
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  Speaker 4: Johns Hopkins research scientists at Johns Hopkins for a while,
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  Speaker 4: and I spent two years teaching it in Hong Kong
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  Speaker 4: and Hong Kong University Science and Technology. And I used
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  Speaker 4: to when I was faculty there, I used to go
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  Speaker 4: around and go to a lot of the tech companies
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  Speaker 4: and one of the CEOs of a tech company was like, yo,
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  Speaker 4: you know, we recruit some of the top scientists from
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  Speaker 4: around the world to come and work for our company.
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  Speaker 4: But what we do is I said, well, how difficult
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  Speaker 4: is that. He said, well, it's not that difficult because
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  Speaker 4: they're all seventh and eighth graders. What they do is
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  Speaker 4: they actually begin scouting you the same way you think
• 4:42
  Speaker 4: about AAU it is the same way they think about scientists.
• 4:46
  Speaker 4: They start at seventh and eighth grade and they start
• 4:48
  Speaker 4: grooming you to come to China. And what they do
• 4:52
  Speaker 4: is they put you into their universities and then the
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  Speaker 4: pipeline is right into their companies. And his thing is like, look,
• 5:00
  Speaker 4: bring the best of the best over, and we start
• 5:01
  Speaker 4: looking at him, and we go to science fairs at seventh,
• 5:04
  Speaker 4: seventh and eighth grade and we bring them over. If
• 5:07
  Speaker 4: they don't come to our company, they still are what's
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  Speaker 4: referred to as friendly alumni to the universities in China.
• 5:16
  Speaker 4: And so he's like, it's a win win for China
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  Speaker 4: in general in terms of bringing the intellectual capital over.
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  Speaker 4: But they treat it. They treat science and scientists the
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  Speaker 4: same way we treat sports players. And I got one
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  Speaker 4: more anecdote. So when I was at Hong Kong. So
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  Speaker 4: I was at Hong Kong University of Science and Technology,
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  Speaker 4: one of the most beautiful college campuses in the world,
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  Speaker 4: and they have this dope soccer field. It almost looks
• 5:42
  Speaker 4: like it's sliding off into the water.
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  Speaker 5: And we used to go and play soccer all.
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  Speaker 4: The time, basketball, football or whatever, but mostly mostly football.
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  Speaker 4: Soccer and there was one dude that was nice, like
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  Speaker 4: I've rarely seen football players like that. He was nice, nice,
• 6:00
  Speaker 4: and he was in my class, and I went up
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  Speaker 4: and spost like, Yo, do you play for the national
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  Speaker 4: soccer team? He was like football team? He was like nah,
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  Speaker 4: because in my family and in my culture, it's actually
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  Speaker 4: more honorable to be a computer scientist.
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  Speaker 5: Than the play sports.
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  Speaker 4: So he was like, I'm actually winning more that I'm
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  Speaker 4: a computer science major at college than I would if
• 6:24
  Speaker 4: I played sports.
• 6:27
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• 8:17
  Speaker 1: An illegal alien from Guatemala charged with raping a child
• 8:21
  Speaker 1: in Massachusetts. An MS thirteen gang member from Al Salvador
• 8:25
  Speaker 1: accused of murdering a Texas man of Venezuelan charged with
• 8:29
  Speaker 1: filming and selling child pornography in Michigan. These are just
• 8:33
  Speaker 1: some of the heinous migrant criminals caught because of President
• 8:37
  Speaker 1: Donald J. Trump's leadership. I'm Christy nom the United States
• 8:41
  Speaker 1: Secretary of Homeland Security. Under President Trump, attempted illegal border
• 8:46
  Speaker 1: crossings are at the lowest levels ever recorded, and over
• 8:49
  Speaker 1: one hundred thousand illegal aliens have been arrested. If you
• 8:53
  Speaker 1: are here illegally, your next you will be fined nearly
• 8:56
  Speaker 1: one thousand dollars a day, imprisoned, and deported. You will
• 9:01
  Speaker 1: never return. But if you register using our CBP home
• 9:04
  Speaker 1: app and leave now, you could be allowed to return legally.
• 9:08
  Speaker 1: Do what's right. Leave now. Under President Trump, America's laws,
• 9:13
  Speaker 1: border and families.
• 9:14
  Speaker 2: Will be protected sponsored by the United States Department of
• 9:17
  Speaker 2: Homeland Security in the national National Team, So there's a
• 9:20
  Speaker 2: lot of similarities.
• 9:21
  Speaker 7: There for those who are aspiring to go on your
• 9:27
  Speaker 7: path and video has been one of my favorite stocks
• 9:28
  Speaker 7: for the last few years, but it's really taken off
• 9:31
  Speaker 7: this past year. For those of us that are black
• 9:34
  Speaker 7: and Brown that want to make it into these tech
• 9:36
  Speaker 7: power players.
• 9:38
  Speaker 2: What would be your process.
• 9:39
  Speaker 7: If you have to start over now for how to
• 9:41
  Speaker 7: break into an inn Video and Apple, Microsoft Bezos Foundation.
• 9:45
  Speaker 7: What tips can you give us to help break into
• 9:47
  Speaker 7: those landscapes that we are not often seen in.
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  Speaker 5: Man.
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  Speaker 4: I don't know if my tips would be helpful, but
• 9:57
  Speaker 4: I can share some of what I think.
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  Speaker 5: But that's such great question for me.
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  Speaker 4: My focus was always on the math of it all,
• 10:06
  Speaker 4: the science of it all, oftentimes what I've seen, and
• 10:10
  Speaker 4: I went to Old HBCUs. I went to Lincoln University undergrad,
• 10:13
  Speaker 4: Morgan Howard University for my master's, and Morgan State for
• 10:17
  Speaker 4: my doctorate. And I stayed at Old HBCUs. But what
• 10:22
  Speaker 4: I saw was a lot of my friends and colleagues.
• 10:26
  Speaker 4: They would come in and within the first couple of
• 10:30
  Speaker 4: classes shift out of the computer science realm into like
• 10:35
  Speaker 4: business information systems or project management, those sort of non
• 10:41
  Speaker 4: math intensive computational mathematics intensive programs companies like Motorola. When
• 10:50
  Speaker 4: I was at Motorola, I was at Motorola Lab, so
• 10:52
  Speaker 4: I was a research scientist there. My primary research over
• 10:55
  Speaker 4: there was when Bluetooth was being invented, I was a
• 10:58
  Speaker 4: part of that team. I had free patents there. It
• 11:02
  Speaker 4: wasn't just me, it was a group of us, and
• 11:05
  Speaker 4: we all got our names on those patent disclosures.
• 11:09
  Speaker 5: But the reason why I was able to go to Motorola.
• 11:14
  Speaker 4: Labs, which is the research drama of Motorola and work
• 11:16
  Speaker 4: on the projects that I did was because I had
• 11:19
  Speaker 4: a math background and so staying strong in the math
• 11:23
  Speaker 4: background and I never went literally at the besos are
• 11:27
  Speaker 4: fun is the least technical that I've ever been in
• 11:31
  Speaker 4: my career. But the reason why when so I had
• 11:34
  Speaker 4: an hour long interviews, As Troy you mentioned, part of
• 11:38
  Speaker 4: my interview process was an hour long one on one
• 11:40
  Speaker 4: interview with Jensen, and one of the things I requested
• 11:43
  Speaker 4: in an interview was I didn't want to be a VP.
• 11:45
  Speaker 4: I didn't want to have the title VP. I wanted
• 11:47
  Speaker 4: to have a technical title because I wanted to remain
• 11:49
  Speaker 4: very technical and so senior Principal Scientists and in video
• 11:54
  Speaker 4: is the technical equivalent to a VP, and video, I
• 11:59
  Speaker 4: was like, I want to all equity better that will
• 12:01
  Speaker 4: be because but not not the title. But I was
• 12:04
  Speaker 4: deliberate in staying in the math and lane, and in
• 12:09
  Speaker 4: the math space. To this day, I still program I
• 12:12
  Speaker 4: do a lot of programming with my son and some
• 12:15
  Speaker 4: personal projects, but to this day I still focused on
• 12:18
  Speaker 4: computation works.
• 12:20
  Speaker 3: So all right, so let's get into this. So for
• 12:24
  Speaker 3: where are we headed with artificial intelligence? Where where is
• 12:28
  Speaker 3: this this headed? We talked about, you know, a variety
• 12:31
  Speaker 3: of different things in the past, but I want to
• 12:33
  Speaker 3: hear from your perspective to somebody that's doing it and
• 12:35
  Speaker 3: has done it for a while, where are we at
• 12:38
  Speaker 3: right now as far as like, is this the infancy stages?
• 12:41
  Speaker 3: And where where do you expect it to be in
• 12:44
  Speaker 3: ten years from now?
• 12:45
  Speaker 5: Yeah, yeah, that's a good question.
• 12:47
  Speaker 4: I think that's such an important question today.
• 12:52
  Speaker 5: Yeah, it's just this morning.
• 12:53
  Speaker 4: The White House just released its executive Order on AI
• 12:58
  Speaker 4: and some time I had I saw it prior to
• 13:03
  Speaker 4: but I spent some time digging through it this past weekend,
• 13:08
  Speaker 4: and you know, it's it's gonna challenge innovation as most
• 13:14
  Speaker 4: most regulation tends to do. So I think six months
• 13:20
  Speaker 4: ago to a year ago, the trajectory may be different
• 13:25
  Speaker 4: if a lot of these regulations that just came out
• 13:28
  Speaker 4: through this executive Order take hold.
• 13:30
  Speaker 5: But that aside, let's let's let's assume, which is the.
• 13:33
  Speaker 4: Case that federal regulations take a long time to even.
• 13:38
  Speaker 5: Uh uh have any impact or that. But let's answer
• 13:41
  Speaker 5: your question straight away.
• 13:44
  Speaker 4: I think if you look at the different domains that
• 13:50
  Speaker 4: are using AI, what you're gonna wind up seeing our
• 13:54
  Speaker 4: few domains where it's most impactful, and then you'll begin
• 13:59
  Speaker 4: to see some domains it's least impactful. And so domains
• 14:02
  Speaker 4: like health is where you're going to see AI really
• 14:05
  Speaker 4: take off. Regulations and everything aside. But because those regulations
• 14:10
  Speaker 4: from the health space have been built in, you'll see
• 14:14
  Speaker 4: it take off there. You'll see AI takeoff in the
• 14:18
  Speaker 4: defense space, aerospace, You'll see you'll see a lot of
• 14:24
  Speaker 4: AI in the personal engagement space that is sort of
• 14:29
  Speaker 4: building out this concept and you guys have talked about
• 14:31
  Speaker 4: it on your shows, like this concept of sort of
• 14:34
  Speaker 4: your own personal chief of staff, your own personal senior advisor,
• 14:39
  Speaker 4: your own personal scheduler. You're going to see a lot
• 14:41
  Speaker 4: of AI in that space.
• 14:44
  Speaker 1: An illegal alien from Guatemala charged with raping a child
• 14:47
  Speaker 1: in Massachusetts. An MS thirteen gang member from El Salvador
• 14:52
  Speaker 1: accused of murdering a Texas man of Venezuelan charged with
• 14:56
  Speaker 1: filming and selling child pornography in Michigan. These are sum
• 15:00
  Speaker 1: of the heinous migrant criminals caught because of President Donald J.
• 15:04
  Speaker 1: Trump's leadership. I'm Christy Noman, the United States Secretary of
• 15:08
  Speaker 1: Homeland Security. Under President Trump, attempted illegal border crossings are
• 15:13
  Speaker 1: at the lowest levels ever recorded, and over one hundred
• 15:16
  Speaker 1: thousand illegal aliens.
• 15:17
  Speaker 2: Have been arrested.
• 15:18
  Speaker 1: If you are here illegally, your next you will be
• 15:22
  Speaker 1: fined nearly one thousand dollars a day, imprisoned, and deported.
• 15:26
  Speaker 1: You will never return. But if you register using our
• 15:30
  Speaker 1: CBP home app and leave now, you could be allowed
• 15:33
  Speaker 1: to return legally. Do what's right. Leave now. Under President Trump,
• 15:38
  Speaker 1: America's laws, border and families will be protected.
• 15:42
  Speaker 2: Sponsored by the United States Department of Homeland Security.