WEBVTT - AI & Robotics Revolution: Reinforcement Learning’s Impact on Employment

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<v Speaker 3>In Nvidia. Few things that stuck out to me.

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<v Speaker 4>Jensen was very very adamant a few things, but one

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<v Speaker 4>thing in particular was physical AI. Yes and yes in

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<v Speaker 4>the in the marketplace. So you asked, what's physical robot

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<v Speaker 4>what's physical AI robotics? He brought the robot on stage

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<v Speaker 4>with him. In the marketplace, there was tons of robots.

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<v Speaker 4>We put it on Instagram, as far as the dog,

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<v Speaker 4>the the guy that was doing shout out to Alex

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<v Speaker 4>good energy on the check in, the guy that was

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<v Speaker 4>picking up the stuff in the factories. So there was

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<v Speaker 4>two things that Jensen was really big on robotics, and

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<v Speaker 4>the other key takeaway that I got was the rational

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<v Speaker 4>aspect of artificial intelligence.

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<v Speaker 3>That's the new wave. I forget the exactly agent AI.

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<v Speaker 4>So, all right, like artificial intelligence as we know it today, right,

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<v Speaker 4>let's take chat GBT. You asked it questions and it

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<v Speaker 4>gives you answers, right, But if you ask it like

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<v Speaker 4>two complex questions, it'll say I can't answer that question,

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<v Speaker 4>or that's debatable, or it kind of stares away from asking.

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<v Speaker 4>Like if you say, okay, what's the best religion in

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<v Speaker 4>the world, they'll say, like, that's a debatable which it

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<v Speaker 4>is debatable, right, But if I ask a person that

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<v Speaker 4>based on their personal beliefs, based on their rational thinking,

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<v Speaker 4>based on their upbringing, they'll tell me it's Christianity.

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<v Speaker 3>They'll tell me it's Islam, its Buddhism.

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<v Speaker 4>That's their personal opinions, and that's how conversations happen with

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<v Speaker 4>real people.

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<v Speaker 3>Right.

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<v Speaker 4>But AI doesn't work like that right now. But the

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<v Speaker 4>next iteration of AI is a rational thought process where

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<v Speaker 4>it's actually thinking in real time, it's rationalizing situations and

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<v Speaker 4>its algorithm and it's giving you answers based off of

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<v Speaker 4>not only it's intelligence, but also it's rational mind. That's

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<v Speaker 4>what's kind of separating humans from AI right now, because

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<v Speaker 4>they already have intelligence, but they don't have the emotional intelligence,

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<v Speaker 4>the rational the how to talk. That's the next iteration

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<v Speaker 4>of AIS. So if you think about it, like, what

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<v Speaker 4>that's going to do is lower the value of education

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<v Speaker 4>because like let's say, like right now, lawyers get paid

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<v Speaker 4>from a scarcity of knowledge that only a select few

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<v Speaker 4>people in the world have. Like, if you have a

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<v Speaker 4>law degree, you're in a select few group of people

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<v Speaker 4>in the total sum of the world, right, And that

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<v Speaker 4>knowledge that you've acquired over eight years and then working,

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<v Speaker 4>that's made your education scarce, and that's major knowledge scarce,

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<v Speaker 4>which makes.

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<v Speaker 3>Your value high.

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<v Speaker 2>Absolutely.

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<v Speaker 4>Now if everybody has that same knowledge and that same

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<v Speaker 4>rational thought to be able to not only say this

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<v Speaker 4>contract is good or bad, but no, this is what

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<v Speaker 4>we need is how we need to negotiate this contract. Well, now,

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<v Speaker 4>the value of a lawyers is really nothing because I'm

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<v Speaker 4>a lawyer, you're a lawyer, Ian's a lawyer.

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<v Speaker 3>Everybody is a lawyer.

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<v Speaker 4>If we have the artificial intelligence lawyer, right, So he

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<v Speaker 4>gave the example as far as going and the dinner

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<v Speaker 4>and at Thanksgiving, and it's like, now it's like, okay,

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<v Speaker 4>if I'm gonna have my spouse, the like, okay, I

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<v Speaker 4>got eight people, sit me at a table right now,

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<v Speaker 4>It'll just give you a random seating chart. But the

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<v Speaker 4>new version will think about all scenarios. It will ask

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<v Speaker 4>you questions, and it will see people accordingly based on

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<v Speaker 4>their opinion. Stop breaking protocol, man, stop breaking protocol.

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<v Speaker 2>Say keep going, keep going, keep going, we go down.

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<v Speaker 4>So that was that was a big, big thing that

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<v Speaker 4>he really pushed. And he and you could talk about

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<v Speaker 4>the technical side as far as you're gonna make it

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<v Speaker 4>it's smarter, and it's it's using more gigs and the

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<v Speaker 4>whole nine. But for me, those are the two things

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<v Speaker 4>that really stuck out to me because it was like,

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<v Speaker 4>everybody's going to have a robot mm hmm. The number

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<v Speaker 4>one job in the world for men? Put in chat,

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<v Speaker 4>what's the number one job that was a gym? What's

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<v Speaker 4>the number one job in the world for men as

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<v Speaker 4>far as that employs the most men globally? What's the

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<v Speaker 4>number one job in the world. And Alex you could

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<v Speaker 4>appreciate this, what's the number one job in the world

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<v Speaker 4>that employs the most men globally.

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<v Speaker 3>Let's see if anybody gets.

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<v Speaker 1>That was one of those like you learn something new

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<v Speaker 1>every day, which brought me to my point of what

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<v Speaker 1>I took away and how scary that is.

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<v Speaker 2>Yeah, I'll chime in, and then you can chime in

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<v Speaker 2>the mind. Yeah, no, let them do this.

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<v Speaker 4>The number one job in the world for men is drivers,

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<v Speaker 4>cab drivers, uber eats truck drivers.

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<v Speaker 2>Anywhere in the world.

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<v Speaker 4>You think about it, like, you don't need a skill

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<v Speaker 4>set to be a driver, you just need a car, right,

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<v Speaker 4>and you could go to South Africa, you can go

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<v Speaker 4>to India, there's always a cab driver. There's always like

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<v Speaker 4>that's the number one job for men globally. Yep, that's

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<v Speaker 4>going to be a race pretty soon. Yeas driving toamis

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<v Speaker 4>drives a nothing. They have their partnership with gm Atonomus.

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<v Speaker 4>Driving is going to take hundreds of millions of jobs.

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<v Speaker 4>So imagine all of those people. This is the number

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<v Speaker 4>one employer for men is a driver. And if we

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<v Speaker 4>don't need a driver because we have a totomist driving,

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<v Speaker 4>what does that do to all the number one job

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<v Speaker 4>for men in the world.

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<v Speaker 1>I think and just to introduct just briefly, the autonomous

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<v Speaker 1>piece that they displayed was completely different than what we

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<v Speaker 1>saw like in a tussa where you get in a

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<v Speaker 1>car and it's kind of scanning your surroundings to make

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<v Speaker 1>sure that there's a car is not too close to

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<v Speaker 1>you on your right or your left, or did somebody

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<v Speaker 1>walk and there's a dog, there's a sidewalk.

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<v Speaker 2>This was something completely different what we saw.

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<v Speaker 1>This actually was understanding the physical environment based on any scenario, right,

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<v Speaker 1>And so it would scan the area and then it

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<v Speaker 1>would tell you, based on the weather perception, what how

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<v Speaker 1>you should how it should drive if it snowed, how

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<v Speaker 1>to drive to a sleep if it was. It studied

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<v Speaker 1>the weather patterns and so now it's prepared to drive

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<v Speaker 1>in any condition. Whereas an average human there's going to

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<v Speaker 1>be human error. This is preparing for the human error

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<v Speaker 1>before it even happens.

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<v Speaker 2>Right.

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<v Speaker 1>So like that piece of understanding the physical world, this

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<v Speaker 1>is a game, shoed.

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<v Speaker 2>I'm not sure you finished. Women to want me to

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<v Speaker 2>go yeah, yeah, So like this is literally in my notes.

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<v Speaker 1>So, Agent Ki, was that piece you were talking about

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<v Speaker 1>and I saw some people put in the chat it's

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<v Speaker 1>that reasoning piece right, so able to ask the question,

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<v Speaker 1>but it's also able to solve complex problems on its own,

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<v Speaker 1>which is we're not at that space right now, right,

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<v Speaker 1>But that is the first thing. The physical AI, like

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<v Speaker 1>you said, the robotics. I think the piece that he

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<v Speaker 1>said is that that physical AI with reinforcement learning, and

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<v Speaker 1>so that's when the machine starts to learn and make

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<v Speaker 1>decisions in the environment right to maximize the reward. So

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<v Speaker 1>like this machine is now doing these things and it's like, oh,

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<v Speaker 1>that's how's supposed to do it, trial and error.

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<v Speaker 2>This is not supposed to do it. That's how I'm

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<v Speaker 2>not supposed to do it.

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<v Speaker 1>It was like when we had we thought of robotics,

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<v Speaker 1>if they held a ball in their hand and they

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<v Speaker 1>dropped it, it wasn't like where did the ball go?

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<v Speaker 1>The ball was just no longer there. The reinforce learning

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<v Speaker 1>is like, oh, the ball dropped. It must have fell down.

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<v Speaker 1>I have to now find it, right, So imagine like

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<v Speaker 1>it's that type of robotics. The interesting thing that he

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<v Speaker 1>said is like, yes, tbt's are important, right, agents are

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<v Speaker 1>going to be important. He said, the biggest piece and

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<v Speaker 1>the biggest opportunity left in the AI puzzle is when

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<v Speaker 1>physical AI and reinforcement learning are combined, which is when

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<v Speaker 1>it introduced the robotics that would come inside your home.

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<v Speaker 1>So we were I mean, we were just sitting there

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<v Speaker 1>thinking to each other, like wait, hold up, what we're

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<v Speaker 1>talking about? Big u on over here, and like they're

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<v Speaker 1>putting robots in people's homes, and they're trying to rent

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<v Speaker 1>these robots and they already got the price points.

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<v Speaker 2>So that was the first piece.

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<v Speaker 1>And then we got to go into the exhibit hall

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<v Speaker 1>and just like you said, from a technical standpoint, and

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<v Speaker 1>go watch we so like people talk about blackwell, like

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<v Speaker 1>we actually saw it like in front of us, right

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<v Speaker 1>on the table, Like we got to pick and look

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<v Speaker 1>at it, and.

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<v Speaker 2>Like we saw what it looked like.

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<v Speaker 1>And so obviously then the mind starts turning right Like

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<v Speaker 1>I'm like, there's a few times in life where you

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<v Speaker 1>feel validated, right, and like the information felt validated, And

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<v Speaker 1>so I'm asking questions. I'm just trying to pride from engineers,

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<v Speaker 1>and I'm like, what's that was that? Was that knowing

0:10:23.760 --> 0:10:26.800
<v Speaker 1>what I'm looking for the answer in mind? And I

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<v Speaker 1>was like, okay, here all the racks. Who's making these racks? Hey,

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<v Speaker 1>got my answer. All right, If that's the GPU and

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<v Speaker 1>this is liquid cooling, who's providing the liquor cooling for this?

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<v Speaker 2>All right? Bet? If that's the GPU, who's doing the

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<v Speaker 2>storage for that? Oh?

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<v Speaker 1>Bet going to vendor markle. You see all the players.

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<v Speaker 1>All the players are there. So if I'm talking about Micron,

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<v Speaker 1>Micron is there. If I'm talking about Vertiv in terms

0:10:50.679 --> 0:10:53.280
<v Speaker 1>of liquor cooling, vertive is there. If we're talking about

0:10:53.320 --> 0:10:58.200
<v Speaker 1>super Micro, super Micro's there. All these You're starting to

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<v Speaker 1>see all these players and it's like, oh, this makes sense.

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<v Speaker 1>And so when we talk about yes, uncertainty is key

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<v Speaker 1>to how the market moves.

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<v Speaker 2>AI is still the story.

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<v Speaker 1>And even when he spoke about deep Seek and he

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<v Speaker 1>was like, look, you guys got this thing one hundred

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<v Speaker 1>percent wrong, just because they had it and they found

0:11:15.920 --> 0:11:18.280
<v Speaker 1>they're still going to need compute and it's still going

0:11:18.360 --> 0:11:20.920
<v Speaker 1>to take a large amount of money to start to

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<v Speaker 1>getting these compute these GPUs out, I'm like, damn. Then

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<v Speaker 1>the last piece was like, how are people going to

0:11:28.200 --> 0:11:31.000
<v Speaker 1>even compete at this level this? Not only are they saying, hey,

0:11:31.040 --> 0:11:34.040
<v Speaker 1>here's our product for twenty twenty five, here's our product

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<v Speaker 1>product for twenty twenty the second half of twenty twenty

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<v Speaker 1>Ruben Ultra Yo, here's our product for.

0:11:45.440 --> 0:11:47.760
<v Speaker 2>Twenty twenty eight, twenty eight Fineman.

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<v Speaker 1>He's already three years ahead in the products right with

0:11:52.720 --> 0:11:54.839
<v Speaker 1>people are just trying to make a product to compete for.

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<v Speaker 4>GPUs that are three times ahead of their nearest competitor.

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<v Speaker 1>He's three years ahead. I'm talking to the people. I'm

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<v Speaker 1>like your houses work. They were like, yo, We're in

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<v Speaker 1>the mindset where the audience is like, hey, it's every year,

0:12:06.240 --> 0:12:08.600
<v Speaker 1>he said, When we are here, it's every six months.

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<v Speaker 1>What trunk create new PROCs every six months? On your headtop?

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<v Speaker 5>An illegal alien from Guatemala charged with raping a child

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<v Speaker 5>in Massachusetts. An MS thirteen gang member from Al Salvador

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<v Speaker 5>accused of murdering a Texas man of Venezuelan charged with

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<v Speaker 5>filming and selling child pornography in Michigan. These are just

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<v Speaker 5>some of the heinous migrant criminals caught because of President

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<v Speaker 5>Donald J. Trump's leadership. I'm Christy Noman, the United States

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<v Speaker 5>Secretary of Homeland Security. Under President Trump, attempted illegal border

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<v Speaker 5>crossings are at the lowest levels ever recorded, and over

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<v Speaker 5>one hundred thousand illegal aliens have been arrested. If you

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<v Speaker 5>are here illegally, your next you will be fine nearly

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<v Speaker 5>one thousand dollars a day, imprisoned, and deported. You will

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<v Speaker 5>never return. But if you register using our CBP home

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<v Speaker 5>app and leave now, you could be allowed to return legally.

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<v Speaker 5>Do what's right, leave now. Under President Trump, America's laws,

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<v Speaker 5>border and families will be protected.

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<v Speaker 2>Sponsored by the United States Department of Homeland Security,