WEBVTT - Cliff Notes: How Tech Companies Hire & Exploring Future A.I Use Cases

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<v Speaker 1>An illegal alien from Guatemala charged with raping a child

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<v Speaker 1>in Massachusetts. An MS thirteen gang member from Al Salvador

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<v Speaker 1>accused of murdering a Texas man of Venezuelan charged with

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<v Speaker 1>filming and selling child pornography in Michigan. These are just

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<v Speaker 1>some of the heinous migrant criminals caught because of President

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<v Speaker 1>Donald J. Trump's leadership. I'm Christy nom the United States

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<v Speaker 1>Secretary of Homeland Security. Under President Trump, attempted illegal border

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<v Speaker 1>crossings are at the lowest levels ever recorded, and over

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<v Speaker 1>one hundred thousand illegal aliens have been arrested. If you

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<v Speaker 1>are here illegally, your next you will be fined nearly

0:00:39.000 --> 0:00:43.000
<v Speaker 1>one thousand dollars a day, imprisoned, and deported. You will

0:00:43.040 --> 0:00:46.680
<v Speaker 1>never return. But if you register using our CBP home

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<v Speaker 1>app and leave now, you could be allowed to return legally.

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<v Speaker 1>Do what's right. Leave now. Under President Trump, America's laws,

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<v Speaker 1>border and families will.

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<v Speaker 2>Be protected sponsored by the United States Department of Homeland Security.

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<v Speaker 2>So let's talk about this well.

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<v Speaker 3>First and foremost, thank you for joining us.

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<v Speaker 2>Appreciate it. Thank you.

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<v Speaker 3>So you were working at I think when we first

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<v Speaker 3>met you were working at in Video, right, Yeah, what

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<v Speaker 3>were you doing at in Video.

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<v Speaker 4>So my title was a Senior Principal scientist primarily, So

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<v Speaker 4>for joining in Video, I was the chief Analytics Officer

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<v Speaker 4>for the City of New York. So I really did

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<v Speaker 4>a lot of my data and AI work in the

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<v Speaker 4>urban space within city and environments, and so I got

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<v Speaker 4>to reach out from Jensen and said, hey, look, we

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<v Speaker 4>want to bring your skill sets into in Video. So

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<v Speaker 4>a lot of my focus at in Video was on

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<v Speaker 4>how we use AI and super compute in cities to

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<v Speaker 4>solve a lot of the complex, intractable challenges in cities

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<v Speaker 4>in video. Now, if you want to think about from

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<v Speaker 4>a product perspective, there's two products at in Video that

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<v Speaker 4>primarily functioned with and so you have the video Supercompute,

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<v Speaker 4>which they referred to as superpods as the base infrastructure.

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<v Speaker 4>But then there was two products was Rapids, which was

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<v Speaker 4>like an advanced data science platform and AI platform, and

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<v Speaker 4>in the other is more well known, which is Omniverse,

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<v Speaker 4>which is their digital twin technology where they do physics

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<v Speaker 4>based simulations and three D viewing of anything in the world.

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<v Speaker 4>So I primarily functioned in that space, work with cities globally,

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<v Speaker 4>work with urban environments, globally to implement AI and supercompute.

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<v Speaker 5>All right, so I met.

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<v Speaker 6>I know you started at Motorola and then you were

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<v Speaker 6>at Video, but you're not there anymore. And one of

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<v Speaker 6>the conversations we had was about the correlations between college

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<v Speaker 6>athletics in the world of tech and the sense of

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<v Speaker 6>when you're really good at something, people are always trying

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<v Speaker 6>to find you as the next talent. Can you explain

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<v Speaker 6>that to the audience of how the tech world has

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<v Speaker 6>a correlation to college sports.

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<v Speaker 4>Yeah, I think there's two You know, that's such a

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<v Speaker 4>great question. I think there's two ways you want to

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<v Speaker 4>look at that. First one is in policon Valley, and

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<v Speaker 4>I spent time not only within Video but at a

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<v Speaker 4>startup engaging in and around Silicon Valley and Silicon Valley,

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<v Speaker 4>they don't if you're at a company, if you're a

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<v Speaker 4>tech genius, giant, even halfway decent at Silicon Valley, if

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<v Speaker 4>you stay at a company more than two years, you

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<v Speaker 4>basically are seen as somebody who's garbage like pass it

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<v Speaker 4>because they're constantly looking for the best of the best,

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<v Speaker 4>and they will do anything to pull you from one

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<v Speaker 4>company to another. You've seen it in biopicks, whether it's

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<v Speaker 4>the wee Work biopick or Uber's biopick. Success of a

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<v Speaker 4>company is taking the best talent from other companies and

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<v Speaker 4>bringing it to your companies. And oftentimes it causes drama

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<v Speaker 4>because you know, they got to do backhanded deals and

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<v Speaker 4>so on and so forth. But they're always looking for

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<v Speaker 4>the top company, so you're always looking to be the

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<v Speaker 4>best and the other way I put it in so

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<v Speaker 4>I spent a couple of years. I was faculty at

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<v Speaker 4>Johns Hopkins research scientists at Johns Hopkins for a while,

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<v Speaker 4>and I spent two years teaching it in Hong Kong

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<v Speaker 4>and Hong Kong University Science and Technology. And I used

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<v Speaker 4>to when I was faculty there, I used to go

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<v Speaker 4>around and go to a lot of the tech companies

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<v Speaker 4>and one of the CEOs of a tech company was like, yo,

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<v Speaker 4>you know, we recruit some of the top scientists from

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<v Speaker 4>around the world to come and work for our company.

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<v Speaker 4>But what we do is I said, well, how difficult

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<v Speaker 4>is that. He said, well, it's not that difficult because

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<v Speaker 4>they're all seventh and eighth graders. What they do is

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<v Speaker 4>they actually begin scouting you the same way you think

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<v Speaker 4>about AAU it is the same way they think about scientists.

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<v Speaker 4>They start at seventh and eighth grade and they start

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<v Speaker 4>grooming you to come to China. And what they do

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<v Speaker 4>is they put you into their universities and then the

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<v Speaker 4>pipeline is right into their companies. And his thing is like, look,

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<v Speaker 4>bring the best of the best over, and we start

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<v Speaker 4>looking at him, and we go to science fairs at seventh,

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<v Speaker 4>seventh and eighth grade and we bring them over. If

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<v Speaker 4>they don't come to our company, they still are what's

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<v Speaker 4>referred to as friendly alumni to the universities in China.

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<v Speaker 4>And so he's like, it's a win win for China

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<v Speaker 4>in general in terms of bringing the intellectual capital over.

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<v Speaker 4>But they treat it. They treat science and scientists the

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<v Speaker 4>same way we treat sports players. And I got one

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<v Speaker 4>more anecdote. So when I was at Hong Kong. So

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<v Speaker 4>I was at Hong Kong University of Science and Technology,

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<v Speaker 4>one of the most beautiful college campuses in the world,

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<v Speaker 4>and they have this dope soccer field. It almost looks

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<v Speaker 4>like it's sliding off into the water.

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<v Speaker 5>And we used to go and play soccer all.

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<v Speaker 4>The time, basketball, football or whatever, but mostly mostly football.

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<v Speaker 4>Soccer and there was one dude that was nice, like

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<v Speaker 4>I've rarely seen football players like that. He was nice, nice,

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<v Speaker 4>and he was in my class, and I went up

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<v Speaker 4>and spost like, Yo, do you play for the national

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<v Speaker 4>soccer team? He was like football team? He was like nah,

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<v Speaker 4>because in my family and in my culture, it's actually

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<v Speaker 4>more honorable to be a computer scientist.

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<v Speaker 5>Than the play sports.

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<v Speaker 4>So he was like, I'm actually winning more that I'm

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<v Speaker 4>a computer science major at college than I would if

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<v Speaker 4>I played sports.

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<v Speaker 6>Ernests, What's up? You ever walk into a small business

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<v Speaker 6>and everything just works like, the checkout is fast, the

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<v Speaker 1>An illegal alien from Guatemala charged with raping a child

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<v Speaker 1>in Massachusetts. An MS thirteen gang member from Al Salvador

0:08:25.720 --> 0:08:29.840
<v Speaker 1>accused of murdering a Texas man of Venezuelan charged with

0:08:29.920 --> 0:08:33.800
<v Speaker 1>filming and selling child pornography in Michigan. These are just

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<v Speaker 1>some of the heinous migrant criminals caught because of President

0:08:37.679 --> 0:08:41.280
<v Speaker 1>Donald J. Trump's leadership. I'm Christy nom the United States

0:08:41.280 --> 0:08:46.080
<v Speaker 1>Secretary of Homeland Security. Under President Trump, attempted illegal border

0:08:46.120 --> 0:08:49.680
<v Speaker 1>crossings are at the lowest levels ever recorded, and over

0:08:49.720 --> 0:08:52.960
<v Speaker 1>one hundred thousand illegal aliens have been arrested. If you

0:08:53.000 --> 0:08:56.880
<v Speaker 1>are here illegally, your next you will be fined nearly

0:08:56.960 --> 0:09:01.000
<v Speaker 1>one thousand dollars a day, imprisoned, and deported. You will

0:09:01.040 --> 0:09:04.640
<v Speaker 1>never return. But if you register using our CBP home

0:09:04.720 --> 0:09:08.079
<v Speaker 1>app and leave now, you could be allowed to return legally.

0:09:08.440 --> 0:09:13.199
<v Speaker 1>Do what's right. Leave now. Under President Trump, America's laws,

0:09:13.360 --> 0:09:15.360
<v Speaker 1>border and families.

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<v Speaker 2>Will be protected sponsored by the United States Department of

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<v Speaker 2>Homeland Security in the national National Team, So there's a

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<v Speaker 2>lot of similarities.

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<v Speaker 7>There for those who are aspiring to go on your

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<v Speaker 7>path and video has been one of my favorite stocks

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<v Speaker 7>for the last few years, but it's really taken off

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<v Speaker 7>this past year. For those of us that are black

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<v Speaker 7>and Brown that want to make it into these tech

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<v Speaker 7>power players.

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<v Speaker 2>What would be your process.

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<v Speaker 7>If you have to start over now for how to

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<v Speaker 7>break into an inn Video and Apple, Microsoft Bezos Foundation.

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<v Speaker 7>What tips can you give us to help break into

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<v Speaker 7>those landscapes that we are not often seen in.

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<v Speaker 5>Man.

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<v Speaker 4>I don't know if my tips would be helpful, but

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<v Speaker 4>I can share some of what I think.

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<v Speaker 5>But that's such great question for me.

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<v Speaker 4>My focus was always on the math of it all,

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<v Speaker 4>the science of it all, oftentimes what I've seen, and

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<v Speaker 4>I went to Old HBCUs. I went to Lincoln University undergrad,

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<v Speaker 4>Morgan Howard University for my master's, and Morgan State for

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<v Speaker 4>my doctorate. And I stayed at Old HBCUs. But what

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<v Speaker 4>I saw was a lot of my friends and colleagues.

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<v Speaker 4>They would come in and within the first couple of

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<v Speaker 4>classes shift out of the computer science realm into like

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<v Speaker 4>business information systems or project management, those sort of non

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<v Speaker 4>math intensive computational mathematics intensive programs companies like Motorola. When

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<v Speaker 4>I was at Motorola, I was at Motorola Lab, so

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<v Speaker 4>I was a research scientist there. My primary research over

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<v Speaker 4>there was when Bluetooth was being invented, I was a

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<v Speaker 4>part of that team. I had free patents there. It

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<v Speaker 4>wasn't just me, it was a group of us, and

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<v Speaker 4>we all got our names on those patent disclosures.

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<v Speaker 5>But the reason why I was able to go to Motorola.

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<v Speaker 4>Labs, which is the research drama of Motorola and work

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<v Speaker 4>on the projects that I did was because I had

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<v Speaker 4>a math background and so staying strong in the math

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<v Speaker 4>background and I never went literally at the besos are

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<v Speaker 4>fun is the least technical that I've ever been in

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<v Speaker 4>my career. But the reason why when so I had

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<v Speaker 4>an hour long interviews, As Troy you mentioned, part of

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<v Speaker 4>my interview process was an hour long one on one

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<v Speaker 4>interview with Jensen, and one of the things I requested

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<v Speaker 4>in an interview was I didn't want to be a VP.

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<v Speaker 4>I didn't want to have the title VP. I wanted

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<v Speaker 4>to have a technical title because I wanted to remain

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<v Speaker 4>very technical and so senior Principal Scientists and in video

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<v Speaker 4>is the technical equivalent to a VP, and video, I

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<v Speaker 4>was like, I want to all equity better that will

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<v Speaker 4>be because but not not the title. But I was

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<v Speaker 4>deliberate in staying in the math and lane, and in

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<v Speaker 4>the math space. To this day, I still program I

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<v Speaker 4>do a lot of programming with my son and some

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<v Speaker 4>personal projects, but to this day I still focused on

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<v Speaker 4>computation works.

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<v Speaker 3>So all right, so let's get into this. So for

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<v Speaker 3>where are we headed with artificial intelligence? Where where is

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<v Speaker 3>this this headed? We talked about, you know, a variety

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<v Speaker 3>of different things in the past, but I want to

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<v Speaker 3>hear from your perspective to somebody that's doing it and

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<v Speaker 3>has done it for a while, where are we at

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<v Speaker 3>right now as far as like, is this the infancy stages?

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<v Speaker 3>And where where do you expect it to be in

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<v Speaker 3>ten years from now?

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<v Speaker 5>Yeah, yeah, that's a good question.

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<v Speaker 4>I think that's such an important question today.

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<v Speaker 5>Yeah, it's just this morning.

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<v Speaker 4>The White House just released its executive Order on AI

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<v Speaker 4>and some time I had I saw it prior to

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<v Speaker 4>but I spent some time digging through it this past weekend,

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<v Speaker 4>and you know, it's it's gonna challenge innovation as most

0:13:14.640 --> 0:13:20.280
<v Speaker 4>most regulation tends to do. So I think six months

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<v Speaker 4>ago to a year ago, the trajectory may be different

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<v Speaker 4>if a lot of these regulations that just came out

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<v Speaker 4>through this executive Order take hold.

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<v Speaker 5>But that aside, let's let's let's assume, which is the.

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<v Speaker 4>Case that federal regulations take a long time to even.

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<v Speaker 5>Uh uh have any impact or that. But let's answer

0:13:41.679 --> 0:13:42.720
<v Speaker 5>your question straight away.

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<v Speaker 4>I think if you look at the different domains that

0:13:50.040 --> 0:13:53.839
<v Speaker 4>are using AI, what you're gonna wind up seeing our

0:13:54.040 --> 0:13:59.040
<v Speaker 4>few domains where it's most impactful, and then you'll begin

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<v Speaker 4>to see some domains it's least impactful. And so domains

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<v Speaker 4>like health is where you're going to see AI really

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<v Speaker 4>take off. Regulations and everything aside. But because those regulations

0:14:10.520 --> 0:14:13.680
<v Speaker 4>from the health space have been built in, you'll see

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<v Speaker 4>it take off there. You'll see AI takeoff in the

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<v Speaker 4>defense space, aerospace, You'll see you'll see a lot of

0:14:24.760 --> 0:14:29.680
<v Speaker 4>AI in the personal engagement space that is sort of

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<v Speaker 4>building out this concept and you guys have talked about

0:14:31.840 --> 0:14:34.840
<v Speaker 4>it on your shows, like this concept of sort of

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<v Speaker 4>your own personal chief of staff, your own personal senior advisor,

0:14:39.280 --> 0:14:41.880
<v Speaker 4>your own personal scheduler. You're going to see a lot

0:14:41.880 --> 0:14:44.000
<v Speaker 4>of AI in that space.

0:14:44.280 --> 0:14:47.920
<v Speaker 1>An illegal alien from Guatemala charged with raping a child

0:14:47.960 --> 0:14:51.760
<v Speaker 1>in Massachusetts. An MS thirteen gang member from El Salvador

0:14:52.000 --> 0:14:56.120
<v Speaker 1>accused of murdering a Texas man of Venezuelan charged with

0:14:56.200 --> 0:15:00.520
<v Speaker 1>filming and selling child pornography in Michigan. These are sum

0:15:00.600 --> 0:15:04.440
<v Speaker 1>of the heinous migrant criminals caught because of President Donald J.

0:15:04.520 --> 0:15:08.280
<v Speaker 1>Trump's leadership. I'm Christy Noman, the United States Secretary of

0:15:08.320 --> 0:15:13.120
<v Speaker 1>Homeland Security. Under President Trump, attempted illegal border crossings are

0:15:13.160 --> 0:15:16.560
<v Speaker 1>at the lowest levels ever recorded, and over one hundred

0:15:16.600 --> 0:15:18.280
<v Speaker 1>thousand illegal aliens.

0:15:17.840 --> 0:15:18.680
<v Speaker 2>Have been arrested.

0:15:18.960 --> 0:15:22.520
<v Speaker 1>If you are here illegally, your next you will be

0:15:22.560 --> 0:15:26.440
<v Speaker 1>fined nearly one thousand dollars a day, imprisoned, and deported.

0:15:26.880 --> 0:15:30.120
<v Speaker 1>You will never return. But if you register using our

0:15:30.160 --> 0:15:33.360
<v Speaker 1>CBP home app and leave now, you could be allowed

0:15:33.400 --> 0:15:38.360
<v Speaker 1>to return legally. Do what's right. Leave now. Under President Trump,

0:15:38.520 --> 0:15:42.080
<v Speaker 1>America's laws, border and families will be protected.

0:15:42.200 --> 0:15:44.320
<v Speaker 2>Sponsored by the United States Department of Homeland Security.