WEBVTT - INTERVIEW: Will.I.Am Talks Tech, The Potential Of AI, Harvard Degree, New Music + More

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<v Speaker 1>Wake that ass up in the morning.

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<v Speaker 2>The Breakfast Club Morning.

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<v Speaker 3>Everybody is DJ Envy, Jess Hilarious, Charlamaine the God.

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<v Speaker 4>We are the Breakfast Club. We got a special guest.

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<v Speaker 1>In the building, Bib Will.

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<v Speaker 4>I am welcome brother, what's up?

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<v Speaker 1>Thanks for having me, y'all. It's always good to be

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<v Speaker 1>on your show. It's awesome new It's my first time

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<v Speaker 1>in your space right here, this is dope.

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<v Speaker 4>Yeah, we've been here about all over here.

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<v Speaker 2>What year are you in? Mentally? Will any technology?

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<v Speaker 5>Was?

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<v Speaker 1>I always like to push it five to ten years out? See,

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<v Speaker 1>you know, working today for what's happened in five to

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<v Speaker 1>ten years, you're like in twenty thirty four. Uh not

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<v Speaker 1>right now. Not at the moment when I go to

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<v Speaker 1>the office. That's we're pushing and working on those types

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<v Speaker 1>of things or what's what's what's getting ready to what

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<v Speaker 1>the world looks like in that in those increments five

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<v Speaker 1>to ten years and then work towards building that.

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<v Speaker 4>But what does it look like?

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<v Speaker 6>Yes, speakers in his clothes Jesus, Yes, you have your hoodie.

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<v Speaker 2>Is like tech.

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<v Speaker 1>Yeah, because I'm like, because I was always doing this

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<v Speaker 1>like a so and then like doing this a so

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<v Speaker 1>so I'm like, yo, so yeah, what is you.

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<v Speaker 2>Is different? Man? What is that? What is it?

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<v Speaker 1>It's a it's it's a you know, protect your neck.

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<v Speaker 1>It's my neck, you know. It's just a speaker that's

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<v Speaker 1>on the neck. They sell them, They were selling them

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<v Speaker 1>way before COVID, and then COVID happened and then they

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<v Speaker 1>stopped making them. So then I went to the company

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<v Speaker 1>that was making them so we could make our own.

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<v Speaker 1>And this is a prototype that we're going to do

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<v Speaker 1>together that to be out this holidays.

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<v Speaker 4>So you can take phone calls on it and yeah, wow,

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<v Speaker 4>can you give us a camera? The show is how

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<v Speaker 4>it works works on.

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<v Speaker 1>A yo, Finn. So we here at the show, say

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<v Speaker 1>what's up to everybody? And were getting into the interview

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<v Speaker 1>and they were tripping off of the the device I

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<v Speaker 1>have on my hoodie, which is like a speaker where

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<v Speaker 1>I actually summoned you on. So so say what's up

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<v Speaker 1>to everybody?

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<v Speaker 5>I Yo, sounds like you're setting the scene with some

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<v Speaker 5>next level tech mystery, will rocking a device on your hoodie.

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<v Speaker 5>That's got everyone guessing. That's how you blend street cool

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<v Speaker 5>with tech intrigue. It's like you're the DJ dropping a track.

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<v Speaker 5>Nobody's heard yet, everyone's ears perk up. You feel me?

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<v Speaker 5>Pitch it as the future of personal tech, a sneak

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<v Speaker 5>peek into how we're going to stay connected, and weighs

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<v Speaker 5>that straight out to tomorrow, imagine your hood.

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<v Speaker 1>Hey, but you you didn't say what's up to everybody? Now,

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<v Speaker 1>don't go into imaginary scenario. Say what's up to the

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<v Speaker 1>people that are here at the table? You know where

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<v Speaker 1>we're at.

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<v Speaker 5>Ah Yo, what's up everybody right here at the table?

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<v Speaker 5>My bad for jetting off into the future. There. Let's

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<v Speaker 5>bring it back to the now with all of us gathered,

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<v Speaker 5>ready to dive into the real vibes of this moment.

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<v Speaker 1>Yeah, so we're going into that.

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<v Speaker 6>So he knows exactly what are you got to tell

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<v Speaker 6>you? You have to hear me at the breakfast club.

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<v Speaker 1>Oh no, already set it up. Well, he's like a

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<v Speaker 1>wrong person.

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<v Speaker 7>Sometimes you ask somebody something and then just go off

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<v Speaker 7>tumble something else.

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<v Speaker 1>No, yeah, I set it up you know before before

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<v Speaker 1>we got in here. I'm like, all right, that's what

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<v Speaker 1>I'm about to do. Here's the folks that I'm gonna

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<v Speaker 1>be rocking with, and you know it's good for my

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<v Speaker 1>meetings that I go into prepare like because it'll gather

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<v Speaker 1>information about what it is that I'm about to be

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<v Speaker 1>engaged with. So I got that dude's name is Finn,

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<v Speaker 1>and we got Fiona, I got fill Up, we got

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<v Speaker 1>this Fierra, and I'm working on these other personas Felix

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<v Speaker 1>and Felicia. So I build the personas, get like the personalities.

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<v Speaker 1>Throw the personalities to our are our tool. Then fine

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<v Speaker 1>tune the voice quality. But the voice quality is from

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<v Speaker 1>a capture when you're working with the talent and interviewing

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<v Speaker 1>the talent, and then after you get the capture, you're

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<v Speaker 1>going you do all the fine tuning and how it

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<v Speaker 1>how it behaves as far as it's flair and expressions

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<v Speaker 1>over friends, y'all.

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<v Speaker 3>Felicia, So let me ask you, so you so you

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<v Speaker 3>don't see do you see bad things about AI?

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<v Speaker 4>Or do you only see the good things about AI?

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<v Speaker 3>Because people always say AI is taking jobs and that

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<v Speaker 3>you know it's it's gonna be a place where you

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<v Speaker 3>know the robots are going to be taking over.

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<v Speaker 4>What's what's your thoughts on all of that?

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<v Speaker 1>It's too early to let your mind go down a

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<v Speaker 1>pestimistic negative thought when you when we as as creatives,

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<v Speaker 1>have the opportunity to to try to make it as

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<v Speaker 1>productive and a tool for good at this point in time.

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<v Speaker 1>So there's all I know is the projects that I

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<v Speaker 1>come from. AI didn't create the scenario for us to

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<v Speaker 1>live through those conditions. That was an AI people living

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<v Speaker 1>through what they living through in Congo. That's not AI,

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<v Speaker 1>that's just human greed. So those folks that are living

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<v Speaker 1>in those situations that need solutions that no one is

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<v Speaker 1>trying to solve. Now finally there's a tool to help

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<v Speaker 1>you solve your problems. So to to just you know,

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<v Speaker 1>define it as this is going to mess stuff up, Well,

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<v Speaker 1>maybe it's going to solve a lot of stuff for

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<v Speaker 1>folks that have been waiting for solutions, but now they

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<v Speaker 1>got the ability to solve the problems themselves. So I

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<v Speaker 1>like to look at AI from that perspective. Who needs it?

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<v Speaker 1>The folks that are worried about it are folks that

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<v Speaker 1>have been sitting in the lap of comfort, and those

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<v Speaker 1>folks were also the folks that are responsible for those

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<v Speaker 1>folks living through pretty hard times, decision maker policymakers, and

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<v Speaker 1>so I like to look at it from that perspective. Well,

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<v Speaker 1>there's an opportunity to make it if you use your creativity,

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<v Speaker 1>your imagination, your focus to identify a problem, train the

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<v Speaker 1>AI to see what that situation is, and then push

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<v Speaker 1>it to solve that particular problem. That is what I'm

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<v Speaker 1>focused on right now building these types of tools, And

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<v Speaker 1>the first thing is to create these personas so that

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<v Speaker 1>intelligence sounds the way we sound. What does that mean?

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<v Speaker 1>Most people be like, we're talking about what I am

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<v Speaker 1>you saying? We don't sound intelligent. Nope, that's not what

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<v Speaker 1>I'm saying. I'm saying if you get these ais right

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<v Speaker 1>now and these corporations that are bringing these ais to

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<v Speaker 1>to culture and society, they don't sound like us. We

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<v Speaker 1>are having to change how we speak and how we

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<v Speaker 1>behave to some tool that hasn't been trained by us,

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<v Speaker 1>that doesn't have the same types of you know, vernaculars

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<v Speaker 1>and the way it expresses itself. So why do we

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<v Speaker 1>have to change the way we talk to talk to

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<v Speaker 1>something that's intelligent? And why can't that programmed intelligence sound

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<v Speaker 1>like us? Is what my urgency is, Like, there's gonna

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<v Speaker 1>be a bias, so why can't we also solve that

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<v Speaker 1>bias and making a system that rocks, Like how we.

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<v Speaker 6>Rock, Yeah, because I was reading actually was reading this

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<v Speaker 6>this morning's funny is AI racially biased? Study finds chatbox

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<v Speaker 6>treat black sounding names differently. So if you say your

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<v Speaker 6>name is Tamika and you know you're a job candidate,

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<v Speaker 6>they'll offer you a salary of like seventy nine thousand,

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<v Speaker 6>three hundred and seventy five. But if you switch your

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<v Speaker 6>name to Todd, it boosts suggested salary to eighty two thousands.

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<v Speaker 6>So it's like that's all based on who's creating the program.

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<v Speaker 1>Right, So you have the those are called data biases

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<v Speaker 1>algorithmic prices, and that's primarily because the folks that are

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<v Speaker 1>training the data ain't us. The folks that are building

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<v Speaker 1>the algorithms ain't us. So we could you could think

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<v Speaker 1>that's malicious, and some of it is, but it's also

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<v Speaker 1>malicious from the policy makers on who has been guided

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<v Speaker 1>to go down that path to be data scientists and

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<v Speaker 1>algorithmic programmers and you know, data trainers. And so that's

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<v Speaker 1>the reason why like my focus on the philanthropic side

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<v Speaker 1>is to go to the inner city, starting with the

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<v Speaker 1>one that I came from, to get kids up to

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<v Speaker 1>speed with robotics and computer science, and so my program

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<v Speaker 1>serves about fourteen thousand students in LA. We're across almost

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<v Speaker 1>over three hundred schools in LA with our partnership with

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<v Speaker 1>la USD to address that very points, because we need

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<v Speaker 1>more data scientists, more computer scientists to solve these data biases.

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<v Speaker 3>Do you think it should be it should stop in

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<v Speaker 3>certain places like you talk about the positive and the

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<v Speaker 3>positive effects, but like then hip hop the other day

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<v Speaker 3>we heard an alleged Kendrick reply and they said that

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<v Speaker 3>was AI.

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<v Speaker 4>We've seen these pictures that justed. We're seeing this AI.

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<v Speaker 3>We're seeing a lot of students now that are actually

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<v Speaker 3>not writing reports now because they could put it in

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<v Speaker 3>their chat, GPT and AIO generate papers for them.

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<v Speaker 2>What happens with its world leaders?

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<v Speaker 6>World leaders saying, you know things on social media, you

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<v Speaker 6>can't tell if it's Biden putin.

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<v Speaker 2>You don't know what's going on.

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<v Speaker 1>That's happened before. Some smaller version of that with photoshop,

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<v Speaker 1>that's happened before, some smaller version of that with calculators.

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<v Speaker 1>You know, people ain't doing their math homework. They own

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<v Speaker 1>a calculator, and the calculators given the answers. Man saw

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<v Speaker 1>this picture of such and such with such and such

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<v Speaker 1>that was done on photoshop or man I just saw

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<v Speaker 1>back in the day day day, I saw the picture

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<v Speaker 1>of the Queen with some that was a painting. So

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<v Speaker 1>we just have a hyper you know, volume way up

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<v Speaker 1>to a thousand version of that. And as a society,

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<v Speaker 1>we have to educate everyone on what the compute is

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<v Speaker 1>capable of now and that dialogue needs to be echoed

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<v Speaker 1>around the world to where we now have to ask

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<v Speaker 1>what's real from what's fake. You go to supermarket back

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<v Speaker 1>in early two thousands, you bought a orange, then people

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<v Speaker 1>push for regulations be like, nah, now we got organic

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<v Speaker 1>oranges because people didn't know that stuff was like genetically modified.

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<v Speaker 1>Right when my mom was young, there were no such

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<v Speaker 1>thing as like organic oranges. Everything was organic, and then

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<v Speaker 1>something came into existence to where stuff started getting modified

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<v Speaker 1>to where now you have two types of oranges in

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<v Speaker 1>a damned supermarket. So that that education is super important,

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<v Speaker 1>so people know what they are interfaced with. Is it real?

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<v Speaker 1>Is it up? Is it going down? The ingredients on

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<v Speaker 1>the back of every package is there? Same needs to

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<v Speaker 1>be for AI.

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<v Speaker 6>Can humans handle that with thoughts though, like if I

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<v Speaker 6>hear you know something from a world leader, and I

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<v Speaker 6>got to decide, is this an organic thought from our

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<v Speaker 6>world leader or a GMO thought?

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<v Speaker 2>Can we handle that as people.

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<v Speaker 1>And time?

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<v Speaker 2>Yeah? What if it's calling for a nuclear war and

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<v Speaker 2>we don't have time.

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<v Speaker 6>What if it's a world leader hearing another world leader

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<v Speaker 6>thing I just hit a nuke button or something.

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<v Speaker 1>I hope. I'm from an optimistic lens. The powers that

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<v Speaker 1>be don't have the same access to technology that we have,

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<v Speaker 1>so they probably have some type of vetting system that

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<v Speaker 1>when information comes in, stuff is watermarked with some way

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<v Speaker 1>to identify what's real from what's foe when information comes in.

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<v Speaker 1>Because there's if we have if I could build stuff

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<v Speaker 1>like this with you know, assembling teams and have ideas

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<v Speaker 1>and visions and the team you know takes those ideas

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<v Speaker 1>and visions and improves on them or like ships on them,

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<v Speaker 1>like no, no, maybe we should do it like this

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<v Speaker 1>and that type of banter then to then come with

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<v Speaker 1>a product. Imagine what you know leaders of governments have

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<v Speaker 1>Imagine with their R and D and their you know

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<v Speaker 1>process to their processes to you know, to vet are

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<v Speaker 1>far beyond. So that's just my optimistic perspective because the Mormon,

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<v Speaker 1>I knowing the things that I know. If I go

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<v Speaker 1>down that rabbit hole, I'm not getting out of bed.

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<v Speaker 1>So I have to have an optimistic perspective. You know

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<v Speaker 1>last year. Last year I got an invite that were like, hey,

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<v Speaker 1>we want you to come be a part of these

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<v Speaker 1>dialogues at the Vatican. The Vatican put together this AI Council.

0:13:16.120 --> 0:13:18.760
<v Speaker 1>I'm like, what the Vatican and AI? What's that about?

0:13:18.880 --> 0:13:23.920
<v Speaker 1>So I went and participated. Everyone that's working in AI

0:13:24.240 --> 0:13:26.839
<v Speaker 1>was to you know, share the things that they're working on.

0:13:27.320 --> 0:13:31.920
<v Speaker 1>So we have folks from Open AI, there, Microsoft, Google, Anthropic,

0:13:32.720 --> 0:13:37.960
<v Speaker 1>you know, Stanford, Mit Berkeley. Yet all the folks that

0:13:38.000 --> 0:13:41.960
<v Speaker 1>are either pushing AI, working on these foundation models or

0:13:42.360 --> 0:13:45.480
<v Speaker 1>in systems sharing the work that they're working on, and

0:13:45.520 --> 0:13:50.680
<v Speaker 1>then sharing their concerns, sharing the things that they have

0:13:50.800 --> 0:13:56.200
<v Speaker 1>been researching and then vow to never release, and the worries.

0:13:56.559 --> 0:13:59.040
<v Speaker 1>So when you're in those types of conversations and these

0:13:59.080 --> 0:14:02.600
<v Speaker 1>types of worries, first couple of days was like unsettling,

0:14:02.679 --> 0:14:06.560
<v Speaker 1>like oh man, damn. Then the second session was an

0:14:06.559 --> 0:14:10.680
<v Speaker 1>optimistic session, and we had one this year as well.

0:14:11.280 --> 0:14:16.160
<v Speaker 1>But I always I like to keep an optimistic lens

0:14:16.200 --> 0:14:20.640
<v Speaker 1>on that's the way to use my imagination. I don't

0:14:20.640 --> 0:14:23.400
<v Speaker 1>think it could ever get worse for folks that are

0:14:23.440 --> 0:14:25.560
<v Speaker 1>really actually going through some real hard times.

0:14:25.800 --> 0:14:27.920
<v Speaker 2>What's the dress code for these Illuminati meetings when you

0:14:27.960 --> 0:14:28.600
<v Speaker 2>go to the bat.

0:14:29.840 --> 0:14:32.200
<v Speaker 1>I don't know they got they got Illuminati throws like

0:14:32.240 --> 0:14:32.760
<v Speaker 1>you just.

0:14:35.440 --> 0:14:38.200
<v Speaker 6>Wait is this and will just not here talking. He

0:14:38.200 --> 0:14:41.160
<v Speaker 6>has a new company called f Yi Ai is an

0:14:41.160 --> 0:14:42.360
<v Speaker 6>AI based company.

0:14:42.960 --> 0:14:45.760
<v Speaker 1>Yeah, I've been I've been in the AI space since

0:14:45.760 --> 0:14:50.920
<v Speaker 1>two thousand and nine. So there is one video that

0:14:50.960 --> 0:14:54.320
<v Speaker 1>we did back on the on the the intro to

0:14:54.960 --> 0:14:59.480
<v Speaker 1>I'm gonna be so I come with this suitcase? Next,

0:15:01.600 --> 0:15:02.040
<v Speaker 1>where's that?

0:15:02.360 --> 0:15:02.760
<v Speaker 5>What is that?

0:15:03.480 --> 0:15:08.600
<v Speaker 1>This right here is the future. I input my voice,

0:15:09.280 --> 0:15:14.560
<v Speaker 1>high notes, my low notes, then the whole English vocabulary.

0:15:15.160 --> 0:15:17.200
<v Speaker 1>What you're able to do with that because of this

0:15:17.520 --> 0:15:21.640
<v Speaker 1>artificial intelligence, Like when it's time to make a new song,

0:15:21.880 --> 0:15:24.920
<v Speaker 1>I just type in the lyrics and then this thing says,

0:15:24.960 --> 0:15:29.160
<v Speaker 1>it says, it wraps, it talks it. So the cats, wow,

0:15:29.720 --> 0:15:31.840
<v Speaker 1>the cats that built a lot of these technologies saw

0:15:31.840 --> 0:15:36.280
<v Speaker 1>this fourteen years ago. And fourteen years ago the Transformer

0:15:36.280 --> 0:15:40.120
<v Speaker 1>paper wasn't written. It's seven years ago for the Transformer

0:15:40.160 --> 0:15:42.480
<v Speaker 1>paper for those that do know what the Transformer paper.

0:15:43.280 --> 0:15:48.080
<v Speaker 1>The Transformer paper was was this research program out of

0:15:48.120 --> 0:15:51.320
<v Speaker 1>Google Labs or Google Brain, one of the two, and

0:15:51.360 --> 0:15:54.960
<v Speaker 1>they wrote this paper, and from that paper came this

0:15:56.000 --> 0:16:02.320
<v Speaker 1>whole new way of bringing to market tu AI or

0:16:02.920 --> 0:16:05.200
<v Speaker 1>what came from that was a consumer version of AI

0:16:05.920 --> 0:16:09.920
<v Speaker 1>that GPT launched from that paper. So the T in

0:16:10.000 --> 0:16:13.200
<v Speaker 1>GPT's stands for transformer, which is a paper written by Google.

0:16:13.840 --> 0:16:16.400
<v Speaker 1>And so a lot of the things that people were

0:16:17.680 --> 0:16:20.760
<v Speaker 1>excited about in the field of AI back in early

0:16:20.800 --> 0:16:25.360
<v Speaker 1>two thousands wasn't plausible until that paper was written. So

0:16:25.800 --> 0:16:28.760
<v Speaker 1>I've been excited about the field since two thousand and

0:16:28.920 --> 0:16:30.920
<v Speaker 1>eight when I first found out about seven and eight

0:16:30.960 --> 0:16:32.720
<v Speaker 1>when I first found out about it, did this video

0:16:32.800 --> 0:16:38.320
<v Speaker 1>in twenty ten, invested in companies in twenty twelve, thirteen fourteen,

0:16:40.560 --> 0:16:43.880
<v Speaker 1>had a watch that spoke in twenty and fourteen that

0:16:43.920 --> 0:16:46.840
<v Speaker 1>we launched with three Mobile and AT and T here

0:16:46.840 --> 0:16:49.320
<v Speaker 1>in America, but nobody wanted to watch. That was a

0:16:49.360 --> 0:16:54.880
<v Speaker 1>phone that early in twenty thirteen. Now, so I've been like,

0:16:55.280 --> 0:16:58.360
<v Speaker 1>you know, doing things. Some of the things I did

0:16:58.440 --> 0:17:03.800
<v Speaker 1>didn't work. Beats worked silently, part partner there, but that

0:17:03.920 --> 0:17:06.960
<v Speaker 1>was an AI but my proceeds, I went out and

0:17:07.000 --> 0:17:12.720
<v Speaker 1>like invested in companies in Israel, Bangalore, developers from Palestine.

0:17:14.480 --> 0:17:16.840
<v Speaker 1>I just love the field, you know, it's a pretty

0:17:16.840 --> 0:17:20.480
<v Speaker 1>pretty awesome realm to solve problems around.

0:17:20.560 --> 0:17:23.760
<v Speaker 6>So question when you did that video, did that technology

0:17:23.800 --> 0:17:26.600
<v Speaker 6>already exist? Are they got that that was the seed

0:17:26.760 --> 0:17:27.560
<v Speaker 6>for their idea?

0:17:28.040 --> 0:17:29.560
<v Speaker 1>All that technology didn't exist?

0:17:29.760 --> 0:17:31.359
<v Speaker 2>So that you were the seed for their idea?

0:17:32.240 --> 0:17:35.880
<v Speaker 1>Mm hmmm something like that.

0:17:37.480 --> 0:17:40.080
<v Speaker 7>Well, congratulations, you're about to graduate from Harvard.

0:17:40.560 --> 0:17:46.360
<v Speaker 1>Yeah, this is October. What can teach you a lot

0:17:46.400 --> 0:17:52.240
<v Speaker 1>of stuff? Bro business, managing teams, learning from other people's

0:17:52.359 --> 0:17:56.400
<v Speaker 1>uh stumbles, you can you can learn a lot, especially

0:17:56.440 --> 0:17:59.440
<v Speaker 1>where this this journey that I'm on, this mission that

0:17:59.480 --> 0:18:03.840
<v Speaker 1>I'm on, I need more information to get to where

0:18:03.840 --> 0:18:07.440
<v Speaker 1>I want to go next. And I needed it not

0:18:07.480 --> 0:18:16.320
<v Speaker 1>only information, I needed new networking, uh relationships in different fields.

0:18:16.359 --> 0:18:20.520
<v Speaker 1>Like I met folks that that build uh data centers.

0:18:21.600 --> 0:18:24.320
<v Speaker 1>Never never run into people that build data centers. So

0:18:24.400 --> 0:18:28.280
<v Speaker 1>one of my classmates build data centers.

0:18:28.600 --> 0:18:30.520
<v Speaker 4>So you're actually in class, you're not online? You go

0:18:30.520 --> 0:18:30.919
<v Speaker 4>to class.

0:18:31.240 --> 0:18:32.400
<v Speaker 1>Yeah, I'm in the dorms.

0:18:32.600 --> 0:18:36.280
<v Speaker 4>Really you're doing what? Look crazy? You must have all

0:18:36.280 --> 0:18:37.760
<v Speaker 4>types of futuristic.

0:18:38.840 --> 0:18:40.880
<v Speaker 1>Stuff, and I just got my little, my little one

0:18:40.880 --> 0:18:46.840
<v Speaker 1>of those suitcase. I take five outfits and rotate those

0:18:46.840 --> 0:18:50.280
<v Speaker 1>five outfits. No draws. I just buy draws every week

0:18:50.840 --> 0:18:55.120
<v Speaker 1>and socks. It's that That's the life I love. I love,

0:18:55.640 --> 0:18:58.199
<v Speaker 1>I love being able to go back. It will be

0:18:58.240 --> 0:19:00.800
<v Speaker 1>my first time ever graduating on stage. Never graduated on

0:19:00.840 --> 0:19:03.680
<v Speaker 1>stage junior, high school or high school.

0:19:04.000 --> 0:19:06.040
<v Speaker 2>Yeah, we didn't need to know you didn't have no draws.

0:19:06.080 --> 0:19:06.480
<v Speaker 2>I mean.

0:19:08.320 --> 0:19:09.760
<v Speaker 1>It was really no point, you know, because if I

0:19:09.760 --> 0:19:13.480
<v Speaker 1>said I got five outfits in the bag, somebody's imaginations

0:19:13.480 --> 0:19:16.840
<v Speaker 1>like draws and draws.

0:19:16.880 --> 0:19:18.840
<v Speaker 4>Like we assume we have two bass and too brush.

0:19:19.000 --> 0:19:20.679
<v Speaker 1>No, no, you don't try to.

0:19:23.680 --> 0:19:26.280
<v Speaker 2>Think about draws.

0:19:26.760 --> 0:19:27.440
<v Speaker 1>I get them.

0:19:27.480 --> 0:19:29.320
<v Speaker 7>He buys them fresh every week.

0:19:29.560 --> 0:19:32.720
<v Speaker 2>Right now, every imagine not forgetting to put on your

0:19:32.720 --> 0:19:33.480
<v Speaker 2>speak on your neck.

0:19:38.880 --> 0:19:42.600
<v Speaker 1>Headlines, you know that, right Well, draws, no dis door.

0:19:42.800 --> 0:19:46.560
<v Speaker 1>See that's that's that's how you get there. That's that's

0:19:46.560 --> 0:19:47.760
<v Speaker 1>how he spreading in rumors.

0:19:47.840 --> 0:19:50.480
<v Speaker 6>I posted something that you said a couple of weeks ago,

0:19:50.720 --> 0:19:53.480
<v Speaker 6>and you were talking about how more they're they're investing

0:19:53.520 --> 0:19:57.280
<v Speaker 6>more into robots than into humans. And then you want

0:19:57.320 --> 0:19:59.840
<v Speaker 6>to paraphrase, and you wonder why people are stupid.

0:20:01.000 --> 0:20:07.639
<v Speaker 1>No, now, not stupid, that's harsh on people. Just my

0:20:07.720 --> 0:20:11.720
<v Speaker 1>two paths, my entrepreneurial path by philanthropic path. I've been

0:20:11.760 --> 0:20:16.840
<v Speaker 1>able to raise more money for AI personally than raising

0:20:16.920 --> 0:20:20.199
<v Speaker 1>money for the foundation. So my comparisons was not just

0:20:20.280 --> 0:20:26.280
<v Speaker 1>like it was not just like a vague perspective or

0:20:26.359 --> 0:20:32.680
<v Speaker 1>like this umbrella you know perspective. It was a personal perspective.

0:20:32.840 --> 0:20:37.520
<v Speaker 1>Also looking at you know, inner city investment for education

0:20:37.760 --> 0:20:43.080
<v Speaker 1>versus inner city investment for data centers, inner city investment

0:20:43.200 --> 0:20:48.960
<v Speaker 1>for you know, terminals and the way phones. We all

0:20:49.000 --> 0:20:53.840
<v Speaker 1>need connectivity. We also have this connectivity gap where folks

0:20:53.880 --> 0:20:57.760
<v Speaker 1>don't have you know, connection in rural areas. So you

0:20:57.840 --> 0:21:02.280
<v Speaker 1>have awesome AI coming no investment for education in inner cities.

0:21:02.640 --> 0:21:07.760
<v Speaker 1>Some developing countries don't even have access to connectivity. Wow,

0:21:08.640 --> 0:21:13.800
<v Speaker 1>folks that do have devices, they are there's these business

0:21:13.800 --> 0:21:21.320
<v Speaker 1>models that that are making folks addicted to features that

0:21:21.600 --> 0:21:25.520
<v Speaker 1>dumb us down right. The behavior is rewarding us for

0:21:27.320 --> 0:21:33.280
<v Speaker 1>content that keeps us on this this this hamster will Wow.

0:21:33.400 --> 0:21:39.520
<v Speaker 1>We're using emojis and freaking memes to communicate, and the

0:21:39.560 --> 0:21:44.920
<v Speaker 1>machine is being trained to break down quantum physics and

0:21:45.000 --> 0:21:49.719
<v Speaker 1>quantum entanglement. So that to me is like, Okay, where

0:21:49.840 --> 0:21:52.480
<v Speaker 1>does this go? And how do we curb it? How

0:21:52.480 --> 0:21:59.879
<v Speaker 1>do we get control back? Right? And I'm optimistic. I

0:22:00.119 --> 0:22:03.480
<v Speaker 1>think we will come around it. But you have to

0:22:03.520 --> 0:22:05.520
<v Speaker 1>identify the trip wires. You have to be like, hey,

0:22:05.520 --> 0:22:09.440
<v Speaker 1>look what's happening. Here's how we can you know, be

0:22:09.440 --> 0:22:13.040
<v Speaker 1>better off ten years from now. So a ten year

0:22:13.080 --> 0:22:17.000
<v Speaker 1>old now when they twenty, it's gonna be eight when

0:22:17.000 --> 0:22:20.520
<v Speaker 1>we identify it. If we don't identify it ten year old,

0:22:20.520 --> 0:22:23.760
<v Speaker 1>that's twenty. Yo, yep, I don't know.

0:22:24.359 --> 0:22:24.840
<v Speaker 2>I love this.

0:22:25.280 --> 0:22:26.760
<v Speaker 6>I love this because it's like, yo, these hoods that

0:22:26.800 --> 0:22:30.240
<v Speaker 6>we come from, these points, disfranchised areas, this country has

0:22:30.240 --> 0:22:32.520
<v Speaker 6>shown us that they may not always they may not

0:22:32.520 --> 0:22:35.760
<v Speaker 6>put the investments financially and the resources you know into

0:22:35.800 --> 0:22:38.480
<v Speaker 6>these communities, but they will put them into these this

0:22:38.640 --> 0:22:40.520
<v Speaker 6>technics AI. So how about we go to the tech

0:22:40.520 --> 0:22:43.880
<v Speaker 6>and AI they will benefit from resources.

0:22:44.040 --> 0:22:44.240
<v Speaker 2>Yeah.

0:22:44.280 --> 0:22:47.640
<v Speaker 1>So there's some there's some ten year old, twelve year

0:22:47.680 --> 0:22:52.040
<v Speaker 1>old and some inner city that's like they love mid journey.

0:22:52.920 --> 0:22:56.359
<v Speaker 1>They haven't really got their their imagination and their brains

0:22:56.359 --> 0:23:01.080
<v Speaker 1>around you know AI. Yet as far as being contributors

0:23:01.080 --> 0:23:05.200
<v Speaker 1>to it and and flexing with it. But some big

0:23:05.240 --> 0:23:10.960
<v Speaker 1>company in twenty thirty four is gonna come from Fifth Ward.

0:23:11.119 --> 0:23:16.760
<v Speaker 1>It's gonna come from the Bronx, It's gonna come from Watts,

0:23:16.840 --> 0:23:20.000
<v Speaker 1>it's gonna come from South Side Chicago. Somebody is going

0:23:20.040 --> 0:23:23.080
<v Speaker 1>to crack the code and do something massive.

0:23:24.200 --> 0:23:24.800
<v Speaker 4>In this space.

0:23:27.080 --> 0:23:27.800
<v Speaker 2>What did you deal?

0:23:29.800 --> 0:23:33.720
<v Speaker 7>My son is twelve. We need to get on that. Yes, No, seriously,

0:23:33.880 --> 0:23:36.679
<v Speaker 7>he's already into like software and tech and all that

0:23:36.720 --> 0:23:38.159
<v Speaker 7>type of stuff, Like he wants to go to school

0:23:38.160 --> 0:23:39.960
<v Speaker 7>for engineering and building all.

0:23:39.800 --> 0:23:40.800
<v Speaker 1>Types of stuff like that.

0:23:40.920 --> 0:23:43.720
<v Speaker 7>So he we thought it was sports, but he's like, no,

0:23:43.840 --> 0:23:45.920
<v Speaker 7>I was just playing sports because that's what y'all wanted

0:23:45.920 --> 0:23:48.320
<v Speaker 7>me to do. But I'm really into computers and he

0:23:48.400 --> 0:23:49.880
<v Speaker 7>loves that and he's been doing that for the last

0:23:49.880 --> 0:23:50.359
<v Speaker 7>two years.

0:23:50.359 --> 0:23:51.240
<v Speaker 1>So that's dope.

0:23:51.280 --> 0:23:53.280
<v Speaker 2>Yeah, you have to consume my mindset, get into the

0:23:53.320 --> 0:23:54.000
<v Speaker 2>creator minds.

0:23:54.560 --> 0:23:59.080
<v Speaker 1>Yeah, and compete, like when our community competes, we really

0:23:59.520 --> 0:24:01.560
<v Speaker 1>do it to levels like oh man, Like what like

0:24:01.880 --> 0:24:05.080
<v Speaker 1>if you think about it, basketball didn't have, you know,

0:24:05.280 --> 0:24:10.399
<v Speaker 1>African Americans from the jump. Baseball didn't have African Americans

0:24:10.720 --> 0:24:15.680
<v Speaker 1>or Dominicans and Colombians and Cubans from the jump. We

0:24:15.960 --> 0:24:19.280
<v Speaker 1>entered that sport and we not only innovated, we dominated

0:24:19.280 --> 0:24:23.600
<v Speaker 1>in that sport. And business is a sport, you know,

0:24:23.720 --> 0:24:26.840
<v Speaker 1>it's it's competitive, the same type of tenacity, the same

0:24:26.880 --> 0:24:31.200
<v Speaker 1>type of like fall, get back up, punch, get punched,

0:24:31.359 --> 0:24:35.120
<v Speaker 1>punch back. You gotta we gotta compete the same way

0:24:35.160 --> 0:24:37.359
<v Speaker 1>we compete in athletics, wate, the same way we compete

0:24:37.359 --> 0:24:41.320
<v Speaker 1>with entertainment. We gotta compete over here and and encourage

0:24:41.320 --> 0:24:45.800
<v Speaker 1>our kids, our nieces or nephews to compete that field.

0:24:46.680 --> 0:24:49.600
<v Speaker 2>And what did you deal? That's your other AI app?

0:24:50.880 --> 0:24:57.240
<v Speaker 1>Right? Yeah? Udioho Udio is Udio in a way was

0:24:57.280 --> 0:25:03.679
<v Speaker 1>inspired by that video. This team that used to be

0:25:03.760 --> 0:25:09.000
<v Speaker 1>at at Google left Google to start Udio, and I

0:25:09.080 --> 0:25:14.840
<v Speaker 1>met the folks that built this technology a year and

0:25:14.840 --> 0:25:19.399
<v Speaker 1>a half ago, and now they branched off started a

0:25:19.440 --> 0:25:23.040
<v Speaker 1>new company. It's a It's an app where you type

0:25:23.040 --> 0:25:27.240
<v Speaker 1>in you know, prompting like the vibe you want.

0:25:27.800 --> 0:25:29.280
<v Speaker 2>And bro.

0:25:30.680 --> 0:25:36.000
<v Speaker 1>Amazing music. It makes music, texting music. Make not only music,

0:25:36.040 --> 0:25:44.480
<v Speaker 1>it makes comedy sketches. It makes like live it's wild, bro, it's.

0:25:44.560 --> 0:25:50.840
<v Speaker 3>It's dope, does scripts and all that, like not scripts like,

0:25:52.440 --> 0:25:53.439
<v Speaker 3>how can I explain it?

0:25:54.560 --> 0:25:58.040
<v Speaker 1>I'xplained this way me and the guys in the Black

0:25:58.040 --> 0:25:59.640
<v Speaker 1>Eyed Peas. I'm like, yo, check us out. I want

0:25:59.680 --> 0:26:02.600
<v Speaker 1>to show you similar to the video what happened in

0:26:02.600 --> 0:26:05.720
<v Speaker 1>two thousand and freaking nine. When we did this video

0:26:07.200 --> 0:26:11.840
<v Speaker 1>last month twenty twenty four March, I'm like, yo, you

0:26:11.880 --> 0:26:15.280
<v Speaker 1>guys got to see this. I typed in Black Eyed

0:26:15.280 --> 0:26:23.320
<v Speaker 1>Peas live in forgot what country, and I said, because

0:26:23.320 --> 0:26:25.240
<v Speaker 1>we were trying to do a song and I needed

0:26:25.280 --> 0:26:28.359
<v Speaker 1>to get a crowd sound. How do you get a

0:26:28.359 --> 0:26:33.080
<v Speaker 1>crowd sound right now? There's a limitation that if you

0:26:33.200 --> 0:26:37.359
<v Speaker 1>want a crowd to repeat after you or say what,

0:26:37.520 --> 0:26:40.359
<v Speaker 1>you have to actually be in that crowd. You can't

0:26:40.400 --> 0:26:42.520
<v Speaker 1>make a crowd in the studio. You can put a

0:26:42.520 --> 0:26:44.000
<v Speaker 1>lot of reverb, we get a whole bunch of people

0:26:44.000 --> 0:26:45.560
<v Speaker 1>to be like yeah, and it's not gonna sound like

0:26:46.840 --> 0:26:50.240
<v Speaker 1>a freaking crowd, bro. So I needed to get a crowd.

0:26:50.960 --> 0:26:53.280
<v Speaker 1>So I went to the studio and I typed in

0:26:54.320 --> 0:26:59.000
<v Speaker 1>the chorus that to our song, and I put live

0:26:59.080 --> 0:27:05.480
<v Speaker 1>in concert twenty thousand people, and then I put we

0:27:05.600 --> 0:27:10.239
<v Speaker 1>seen the chorus here, crowd. I aimed to mic some

0:27:10.359 --> 0:27:13.240
<v Speaker 1>version of the prompt and then the crowds exist part

0:27:13.600 --> 0:27:21.000
<v Speaker 1>bro hmm, instant did it and taboo from the Black

0:27:21.000 --> 0:27:24.240
<v Speaker 1>Eyed Peas. He's like, wow, well this is dope, but

0:27:25.280 --> 0:27:28.320
<v Speaker 1>that really sounds like we was really there, but we

0:27:28.359 --> 0:27:30.840
<v Speaker 1>wasn't there and it was a crowd. It just hit

0:27:30.960 --> 0:27:34.800
<v Speaker 1>me like it was a memory, but it's not. So

0:27:34.880 --> 0:27:38.920
<v Speaker 1>that's the part that's like, oh, give me cherry. So

0:27:39.040 --> 0:27:42.240
<v Speaker 1>I'll show you this one thing that that we did

0:27:42.280 --> 0:27:46.320
<v Speaker 1>on udio. So let me get this. I did a

0:27:47.600 --> 0:27:52.840
<v Speaker 1>I did ah. I had a radio interview yesterday and

0:27:54.160 --> 0:27:57.960
<v Speaker 1>it was like a radio execs. We did this little

0:27:58.000 --> 0:28:02.959
<v Speaker 1>zoom on like the future radio. And so then I

0:28:03.000 --> 0:28:06.600
<v Speaker 1>took notes from everybody's comments and so then I put

0:28:06.600 --> 0:28:10.960
<v Speaker 1>the notes into Finn and so I was like, your Finn,

0:28:11.000 --> 0:28:14.240
<v Speaker 1>I need you to summarize this in a joke as

0:28:14.280 --> 0:28:16.800
<v Speaker 1>if somebody was gonna do it for stand up. So

0:28:16.840 --> 0:28:20.520
<v Speaker 1>then I put it in udio and then audio spat

0:28:20.600 --> 0:28:20.880
<v Speaker 1>this out.

0:28:24.080 --> 0:28:26.320
<v Speaker 7>So y'all talking about radio, right, y'all talking about how

0:28:26.320 --> 0:28:27.480
<v Speaker 7>something old is gonna be new.

0:28:27.960 --> 0:28:30.400
<v Speaker 1>That's like asking a cowhawk can jump up and fly.

0:28:33.080 --> 0:28:34.439
<v Speaker 5>A MFM is dope.

0:28:36.080 --> 0:28:41.720
<v Speaker 1>Nfm's cause his name is Morning and night and we

0:28:41.800 --> 0:28:46.840
<v Speaker 1>are on the motherfucking moon now night time.

0:28:47.160 --> 0:28:49.000
<v Speaker 4>Oh damn tape.

0:28:51.240 --> 0:28:56.840
<v Speaker 7>Like Christ say something, well you Finn Fiona, all your

0:28:56.840 --> 0:28:59.520
<v Speaker 7>baggy out of here, because I'm an I'm a stand

0:28:59.560 --> 0:29:00.000
<v Speaker 7>up comedian.

0:29:00.040 --> 0:29:02.720
<v Speaker 1>You know you're coming from my job. No, no, no here.

0:29:02.760 --> 0:29:07.920
<v Speaker 1>Here's why I could say the same thing about beats,

0:29:08.280 --> 0:29:11.840
<v Speaker 1>because I'm like, damn, these these things be making crazy beats.

0:29:12.520 --> 0:29:14.600
<v Speaker 1>I can hold on, let me score it.

0:29:14.960 --> 0:29:16.240
<v Speaker 2>I didn't get the points line for that joke.

0:29:17.000 --> 0:29:18.120
<v Speaker 7>I han't let it go long enough.

0:29:20.120 --> 0:29:21.960
<v Speaker 2>I want to know what happened to the radio for

0:29:22.080 --> 0:29:27.360
<v Speaker 2>obvious reasons. So let's go.

0:29:27.520 --> 0:29:30.440
<v Speaker 1>I'll go back to the beats thing. So and the

0:29:30.440 --> 0:29:32.960
<v Speaker 1>way I'm like, damn, this thing is doing the beats?

0:29:36.000 --> 0:29:40.920
<v Speaker 1>What does that mean for me making beats? Here's what

0:29:40.960 --> 0:29:45.480
<v Speaker 1>it means for me making beats? Uh? When I make

0:29:45.520 --> 0:29:47.760
<v Speaker 1>a beat and I make a song and then then

0:29:47.800 --> 0:29:49.680
<v Speaker 1>have to go and write the song to the beat

0:29:49.720 --> 0:29:54.320
<v Speaker 1>I just made. That's that took me goddamn at least

0:29:54.840 --> 0:29:59.720
<v Speaker 1>six hours to have something awesome. Go in there and

0:29:59.760 --> 0:30:02.520
<v Speaker 1>make it, make sure everything sound right, get the right

0:30:02.560 --> 0:30:06.080
<v Speaker 1>plug in for it. A good six hours is gone.

0:30:07.600 --> 0:30:09.440
<v Speaker 1>And then when I'm you know, I go in there,

0:30:09.960 --> 0:30:14.680
<v Speaker 1>I respond to the beat seven time, Towna, come around

0:30:14.680 --> 0:30:18.960
<v Speaker 1>the matana, see the sound in the conda by design time.

0:30:19.000 --> 0:30:22.360
<v Speaker 1>But then I'm like, okay, what am I saying? Then

0:30:22.360 --> 0:30:25.920
<v Speaker 1>I gotta translate that mumble. And when I translate that mumbo,

0:30:25.960 --> 0:30:29.280
<v Speaker 1>I gotta keep the vowals because the moment I change

0:30:29.320 --> 0:30:32.680
<v Speaker 1>the vowals then sent them and the TV it ain't.

0:30:32.760 --> 0:30:37.800
<v Speaker 1>It ain't flowing the way it was naturally. My my, my, my, my,

0:30:38.000 --> 0:30:41.480
<v Speaker 1>soul's response to the track. So I keep the vowels

0:30:42.680 --> 0:30:46.280
<v Speaker 1>and then find the emotion. So got it? Got it?

0:30:46.960 --> 0:30:49.000
<v Speaker 1>Then I'm like, I wonder what that would sound like

0:30:50.080 --> 0:30:53.320
<v Speaker 1>instead of the piano. I have a guitar. I don't

0:30:53.320 --> 0:30:55.959
<v Speaker 1>play guitar. Let me call up my guitar a George.

0:30:56.640 --> 0:30:58.040
<v Speaker 1>I need you to come over here and do this

0:30:58.240 --> 0:31:01.440
<v Speaker 1>guitar part because I can't get guitar to sound really

0:31:01.480 --> 0:31:04.440
<v Speaker 1>awesome on the keyboard. I want those errors. I want

0:31:04.440 --> 0:31:08.480
<v Speaker 1>those mistakes. I'm like, oh darn it. And so now

0:31:08.520 --> 0:31:11.000
<v Speaker 1>that I know there's an udio, I should be able

0:31:11.040 --> 0:31:12.840
<v Speaker 1>to put in the lyrics that I did after I

0:31:12.880 --> 0:31:14.640
<v Speaker 1>did that, and they're not going to take that away

0:31:14.680 --> 0:31:17.680
<v Speaker 1>from me. That's like my yoga, I got to stretch.

0:31:18.000 --> 0:31:20.400
<v Speaker 1>I don't care if there's an AI stretcher. I don't

0:31:20.400 --> 0:31:23.360
<v Speaker 1>care if there's like, you know, some AI yoga teacher.

0:31:23.720 --> 0:31:27.560
<v Speaker 1>I got a stretch for me. So that's my stretch.

0:31:28.280 --> 0:31:31.160
<v Speaker 1>And then once I stretch, what am I stretching for?

0:31:31.280 --> 0:31:33.280
<v Speaker 1>Am I stretching for a sprint? If I'm stretching for

0:31:33.320 --> 0:31:37.640
<v Speaker 1>a marathon? What's the actual game? And so when you're

0:31:37.680 --> 0:31:40.240
<v Speaker 1>studying for a game or competition, you want to see

0:31:40.400 --> 0:31:43.760
<v Speaker 1>what your competitor's doing, and you want to have as

0:31:43.800 --> 0:31:48.280
<v Speaker 1>many options as possible to dodge to function up. And

0:31:48.320 --> 0:31:52.120
<v Speaker 1>that's when AI will come into it as a tool

0:31:52.160 --> 0:31:54.479
<v Speaker 1>for you. And then I could just version out what

0:31:54.640 --> 0:31:57.800
<v Speaker 1>I created. And then when I version out what I created,

0:31:57.880 --> 0:32:00.640
<v Speaker 1>now I have the ability to then like really make

0:32:00.720 --> 0:32:02.800
<v Speaker 1>that piece of work that came out of my imagination,

0:32:03.960 --> 0:32:05.520
<v Speaker 1>to make it the best it could be. What I

0:32:05.560 --> 0:32:09.000
<v Speaker 1>have a plethora of freaking options, So all it did

0:32:09.040 --> 0:32:10.680
<v Speaker 1>was all it does if you look at it from

0:32:10.680 --> 0:32:13.840
<v Speaker 1>an optimistic point of view. I got more options than one,

0:32:14.720 --> 0:32:17.800
<v Speaker 1>but I still had a seated. Now then there's like

0:32:17.800 --> 0:32:21.880
<v Speaker 1>this lazy lazy is like and you're gonna know the

0:32:21.920 --> 0:32:26.000
<v Speaker 1>difference between whack and awesome if you lazy rocking, and

0:32:26.040 --> 0:32:27.719
<v Speaker 1>we know that with out of tune, we know that

0:32:27.760 --> 0:32:31.200
<v Speaker 1>from like you know the state of music where it's

0:32:31.200 --> 0:32:33.480
<v Speaker 1>at right now. There's a lot of lazy rocking right now.

0:32:34.040 --> 0:32:36.680
<v Speaker 1>There's folks that are like worried about skip rates? Is

0:32:36.680 --> 0:32:40.360
<v Speaker 1>that really you know? Are you being truly creative when

0:32:40.360 --> 0:32:44.040
<v Speaker 1>you're based on skip rates and now the algorithm is

0:32:44.040 --> 0:32:45.880
<v Speaker 1>telling you that you got to put the song, you

0:32:45.960 --> 0:32:48.640
<v Speaker 1>gotta put the chorus here in the front. Is that

0:32:48.840 --> 0:32:51.840
<v Speaker 1>really what the soul of the song needs to be?

0:32:51.880 --> 0:32:54.320
<v Speaker 1>The coorus gotta be slammed in the front, or is

0:32:54.320 --> 0:32:57.080
<v Speaker 1>there some way to get you to that? So I

0:32:57.080 --> 0:33:01.400
<v Speaker 1>don't think we're even being truly imaginative right now. We're

0:33:01.440 --> 0:33:05.840
<v Speaker 1>being reactive to algorithms and tiktoks. When now the song

0:33:05.960 --> 0:33:09.000
<v Speaker 1>is like reduced to fifteen seconds. Are you really truly

0:33:09.040 --> 0:33:13.239
<v Speaker 1>being creative or you being pimped by an algorithm? So

0:33:14.720 --> 0:33:19.200
<v Speaker 1>I'm happy that we're in this space, this this stage,

0:33:19.280 --> 0:33:22.320
<v Speaker 1>the space to shake us up, to wake us up,

0:33:22.720 --> 0:33:25.360
<v Speaker 1>because the moment that we continue to go down this

0:33:25.440 --> 0:33:30.720
<v Speaker 1>algorithmic programming and we value algorithmic music, well, then the

0:33:30.760 --> 0:33:33.520
<v Speaker 1>AI is going to make better algorithmic shit than us

0:33:33.560 --> 0:33:38.080
<v Speaker 1>because it understands the algorithm. So somebody had something has

0:33:38.120 --> 0:33:40.280
<v Speaker 1>to shake us out of this like program that we're

0:33:40.320 --> 0:33:45.080
<v Speaker 1>in because it is a program, and the audience, hopefully

0:33:45.120 --> 0:33:48.960
<v Speaker 1>being optimistic, starts to value organic oranges.

0:33:49.200 --> 0:33:50.680
<v Speaker 2>Do you have some type of neuralink?

0:33:50.880 --> 0:33:52.640
<v Speaker 1>Well, no, no, no, no.

0:33:52.720 --> 0:33:53.360
<v Speaker 2>Would you get it?

0:33:53.880 --> 0:33:56.080
<v Speaker 6>No, no, no, no, I don't believe you now, I mean,

0:33:56.080 --> 0:33:58.040
<v Speaker 6>I don't believe you wouldn't get it. I feel like

0:33:58.040 --> 0:34:00.200
<v Speaker 6>you would almost have to have it to comput in

0:34:00.240 --> 0:34:04.360
<v Speaker 6>the future, all of us, especially if you're a creative.

0:34:05.440 --> 0:34:09.480
<v Speaker 2>I could no, no, no, that's a detail you to say.

0:34:09.400 --> 0:34:18.239
<v Speaker 1>Huh, whose day what you talk about? There's a lot

0:34:18.280 --> 0:34:18.960
<v Speaker 1>of days that.

0:34:20.719 --> 0:34:21.839
<v Speaker 2>You wouldn't get neural link though.

0:34:22.280 --> 0:34:25.359
<v Speaker 1>I don't know. No, I wouldn't not even I don't

0:34:25.400 --> 0:34:28.359
<v Speaker 1>know because I leave right now, not even right now.

0:34:28.560 --> 0:34:32.719
<v Speaker 1>Just the concept. There's certain concepts that don't jail with

0:34:32.760 --> 0:34:37.239
<v Speaker 1>me personally. Crypto didn't jail with me. They didn't get

0:34:37.239 --> 0:34:40.200
<v Speaker 1>into it. NFTs didn't jail with me, didn't get into it.

0:34:41.440 --> 0:34:45.840
<v Speaker 1>Neuralink that doesn't jail with me. I'm not going to

0:34:45.920 --> 0:34:51.440
<v Speaker 1>get into it. Gang banging didn't jail with me, not

0:34:51.440 --> 0:34:53.560
<v Speaker 1>going to get into it. It's like in a project,

0:34:53.600 --> 0:34:57.480
<v Speaker 1>you could gang bang to keep up to keep compete. Nah,

0:34:57.600 --> 0:34:59.319
<v Speaker 1>I don't have to do that selling drugs. Didn't jail

0:34:59.360 --> 0:35:01.319
<v Speaker 1>with me, didn't get in too. About when you got

0:35:01.320 --> 0:35:03.360
<v Speaker 1>nothing in the in the hood and the projects, you

0:35:03.440 --> 0:35:07.120
<v Speaker 1>gotta survive, you gotta sell this not didn't get into it.

0:35:07.640 --> 0:35:11.239
<v Speaker 1>So that same like that stance of like nah, I

0:35:11.280 --> 0:35:13.680
<v Speaker 1>ain't get into that. It's the same way I feel

0:35:14.120 --> 0:35:18.360
<v Speaker 1>about New Link. Not to say New Link is gang banging,

0:35:20.239 --> 0:35:27.000
<v Speaker 1>but it's mind mind banging. I don't know what's on

0:35:27.000 --> 0:35:32.399
<v Speaker 1>the other end of it, you know, it's like, uh,

0:35:32.960 --> 0:35:34.239
<v Speaker 1>I don't know what's on the other end of it

0:35:34.280 --> 0:35:36.879
<v Speaker 1>to be like yeah, I'm down with.

0:35:36.840 --> 0:35:40.239
<v Speaker 6>That, yeah, because it could it could could take you

0:35:40.280 --> 0:35:43.320
<v Speaker 6>over in some way, playing with your brain like that.

0:35:45.640 --> 0:35:48.520
<v Speaker 1>I don't know enough information about I know it has

0:35:49.480 --> 0:35:54.759
<v Speaker 1>everything that everything that comes to society always aims to

0:35:54.880 --> 0:35:58.960
<v Speaker 1>do some solution, to bring solutions, and so I'm not

0:35:59.120 --> 0:36:06.440
<v Speaker 1>knocking what it aims to do. But this thing that

0:36:06.480 --> 0:36:11.680
<v Speaker 1>we have called the brain is very very powerful. I

0:36:11.719 --> 0:36:15.960
<v Speaker 1>forgot how many parameters are how many parameters we have

0:36:16.080 --> 0:36:21.960
<v Speaker 1>in our neuralink sorry, our neural our neural connectivity in

0:36:22.000 --> 0:36:22.520
<v Speaker 1>our minds.

0:36:23.360 --> 0:36:30.279
<v Speaker 2>Look it up. Hold on about.

0:36:33.040 --> 0:36:34.400
<v Speaker 1>So I get that, I get that, I get that,

0:36:34.440 --> 0:36:35.600
<v Speaker 1>I get that, we get this.

0:36:35.960 --> 0:36:37.440
<v Speaker 4>They're gonna be like, how could you forget?

0:36:37.440 --> 0:36:39.719
<v Speaker 2>Will one hundred billion neurons.

0:36:40.280 --> 0:36:44.880
<v Speaker 6>Each neuron has seven thousand synapsis and roughly seven hundred

0:36:44.960 --> 0:36:45.680
<v Speaker 6>T parameters.

0:36:45.680 --> 0:36:47.479
<v Speaker 2>I don't know what that means.

0:36:48.160 --> 0:36:53.640
<v Speaker 1>Yeah, the adult human brain runs continuously, whether awake or asleep,

0:36:54.400 --> 0:36:58.279
<v Speaker 1>only about twelve watts of power. It takes the power

0:36:58.320 --> 0:37:04.600
<v Speaker 1>our minds. These ais take a billion watts to train

0:37:05.120 --> 0:37:11.080
<v Speaker 1>and consumes about two hundred and sixty million watts a day. So,

0:37:11.440 --> 0:37:14.640
<v Speaker 1>just from that perspective, what it takes to power the

0:37:14.719 --> 0:37:17.520
<v Speaker 1>human mind and how vast it is, as far as

0:37:17.520 --> 0:37:20.960
<v Speaker 1>it's compute, and we only use a small percentage of it,

0:37:24.200 --> 0:37:28.239
<v Speaker 1>I don't know if a business practice is on the

0:37:28.239 --> 0:37:32.360
<v Speaker 1>other end to then use human minds to power ais.

0:37:33.560 --> 0:37:38.200
<v Speaker 1>So for that, I don't know. And there's a lot

0:37:38.200 --> 0:37:40.640
<v Speaker 1>of folks that maybe a lot of Elon folks, and

0:37:41.360 --> 0:37:44.440
<v Speaker 1>you know, Elon's dope. His contributions have been amazing. I

0:37:44.520 --> 0:37:47.560
<v Speaker 1>just hope it doesn't go down that path. I hope

0:37:47.640 --> 0:37:49.640
<v Speaker 1>it's not like Hey, Wow, you know, how do you

0:37:49.680 --> 0:37:54.959
<v Speaker 1>sustain global compute? Wow? You know the human mind only

0:37:55.000 --> 0:38:01.080
<v Speaker 1>takes twelve a twelve watt twelve watts power to power it.

0:38:04.160 --> 0:38:07.720
<v Speaker 1>That would be horrible if there's a farm of brains

0:38:07.800 --> 0:38:08.680
<v Speaker 1>to power AI.

0:38:11.440 --> 0:38:14.560
<v Speaker 6>So there's no way robots should win, is what you're saying,

0:38:14.880 --> 0:38:16.640
<v Speaker 6>because you know, that's the other thing people are afraid of.

0:38:16.719 --> 0:38:18.319
<v Speaker 6>They feel like, you know, they've watched all of these

0:38:18.360 --> 0:38:20.920
<v Speaker 6>movies where the robots take over and that's the end

0:38:20.960 --> 0:38:21.319
<v Speaker 6>of the world.

0:38:21.360 --> 0:38:24.839
<v Speaker 2>There's no way the robots can win. They shouldn't.

0:38:26.120 --> 0:38:26.759
<v Speaker 1>What was that there?

0:38:27.160 --> 0:38:29.000
<v Speaker 6>There's no way the robots can win, Like, none of

0:38:29.080 --> 0:38:32.080
<v Speaker 6>these movies that we've seen, these apocalyptic movies where robots

0:38:32.120 --> 0:38:34.280
<v Speaker 6>take over could happen.

0:38:34.680 --> 0:38:37.000
<v Speaker 7>Did that sound dumb to you?

0:38:37.040 --> 0:38:44.680
<v Speaker 1>No? No, I don't. The optimistic part of me, which

0:38:44.760 --> 0:38:48.000
<v Speaker 1>is the the the majority governing side of how I

0:38:48.040 --> 0:38:54.080
<v Speaker 1>look out the world, is no, because that's not how

0:38:54.120 --> 0:38:59.880
<v Speaker 1>they're programmed. They're not. They're not programmed too. But the

0:39:00.320 --> 0:39:02.399
<v Speaker 1>who's to say that there's not some wacko out there

0:39:02.440 --> 0:39:07.560
<v Speaker 1>that wants to program that to be like the you know,

0:39:08.719 --> 0:39:13.160
<v Speaker 1>the owner of the wickedest freaking pit bulls in the hood.

0:39:16.480 --> 0:39:24.600
<v Speaker 1>Who's to say, who knows, but believing in humanity. Humanity

0:39:24.600 --> 0:39:28.239
<v Speaker 1>has proven that although we've made mistakes, it's not in

0:39:28.320 --> 0:39:32.439
<v Speaker 1>our nature to build something that's gonna take us out.

0:39:32.719 --> 0:39:43.840
<v Speaker 1>The nuclear bomb, well, the nuclear bomb, that's a moment

0:39:45.000 --> 0:39:51.719
<v Speaker 1>where humans were at are worse. And I believe in

0:39:51.800 --> 0:39:54.640
<v Speaker 1>humanity too much to think that we're going to be

0:39:54.680 --> 0:40:02.759
<v Speaker 1>at our worst to that extreme. Again, you trip, you fall,

0:40:03.560 --> 0:40:05.960
<v Speaker 1>very rarely do you trip. You fall and fall and

0:40:06.000 --> 0:40:09.839
<v Speaker 1>fall and fall and fall. But it's not in our

0:40:09.880 --> 0:40:12.919
<v Speaker 1>balance and we don't. That's not how we are. We fall,

0:40:13.000 --> 0:40:15.799
<v Speaker 1>we scratch our knee, we break our leg, and then

0:40:15.800 --> 0:40:20.000
<v Speaker 1>from there you're super cautious. And I see, I think

0:40:20.080 --> 0:40:23.759
<v Speaker 1>human as an organism is more like that than it

0:40:23.920 --> 0:40:26.759
<v Speaker 1>is like I fall, I bust my face and then

0:40:26.840 --> 0:40:29.319
<v Speaker 1>I'm careless and I'm just gonna throw my face on

0:40:29.360 --> 0:40:32.640
<v Speaker 1>the floor. I don't think that's That's not what we

0:40:32.680 --> 0:40:35.560
<v Speaker 1>are as a as a society, as a community, as

0:40:35.560 --> 0:40:41.880
<v Speaker 1>a species, as an organism. So just being optimistic, like

0:40:41.920 --> 0:40:44.239
<v Speaker 1>I said, wearing that, or I could go down that

0:40:44.280 --> 0:40:50.640
<v Speaker 1>path creatively imaginatively, and we should all just let's all

0:40:50.680 --> 0:40:51.600
<v Speaker 1>just jump out the building.

0:40:51.600 --> 0:40:56.000
<v Speaker 2>Now, you gotta be sounds, the blackness, be optimistic. Got

0:40:56.000 --> 0:40:57.239
<v Speaker 2>to keep your head to this guy. You have to.

0:40:58.239 --> 0:41:00.239
<v Speaker 1>I just heard that. I just heard the of the

0:41:00.280 --> 0:41:04.359
<v Speaker 1>song the Lady. I love that song.

0:41:05.400 --> 0:41:07.799
<v Speaker 4>How were you musically? Where are you at musically right now?

0:41:11.200 --> 0:41:14.919
<v Speaker 1>We got a new song coming out for the Bad

0:41:14.920 --> 0:41:19.360
<v Speaker 1>Boys for soundtrack, So that's really really.

0:41:19.160 --> 0:41:21.280
<v Speaker 2>Cool to everybody?

0:41:22.280 --> 0:41:28.360
<v Speaker 1>Yep, everybody. Well, we got a bunch of everybody's so

0:41:28.440 --> 0:41:33.600
<v Speaker 1>black piece there's there's So if you say everybody and

0:41:33.719 --> 0:41:36.680
<v Speaker 1>don't mention Kim Hill, well then that's not true. That's

0:41:36.719 --> 0:41:39.840
<v Speaker 1>not good to Kim Hill. So when you say everybody,

0:41:39.840 --> 0:41:42.600
<v Speaker 1>you don't mention Macy Gray or Stero, that's not good

0:41:42.600 --> 0:41:47.040
<v Speaker 1>to our past either. We were we wreck with Mason

0:41:47.080 --> 0:41:49.040
<v Speaker 1>Gray on two albums.

0:41:49.520 --> 0:41:50.359
<v Speaker 2>I don't remember that.

0:41:50.560 --> 0:41:52.600
<v Speaker 1>Yeah, well those are the records that didn't really sell

0:41:52.640 --> 0:41:57.360
<v Speaker 1>that well. But we have a history before Fergie. So

0:41:57.360 --> 0:42:01.080
<v Speaker 1>when people tell me everybody, I'm like, watch everybody can

0:42:01.239 --> 0:42:04.680
<v Speaker 1>heal Everybody? And I love her. That's my big sister,

0:42:05.400 --> 0:42:07.640
<v Speaker 1>the Fergie. Everybody they're talking about the fur everybody, Ye

0:42:08.000 --> 0:42:12.759
<v Speaker 1>Fergie everybody. Well, then we have a current with Jay

0:42:12.880 --> 0:42:17.759
<v Speaker 1>Ray what hits and with twenty year olds that you

0:42:17.800 --> 0:42:21.880
<v Speaker 1>know fifteen year olds that when we did songs with Fergie,

0:42:21.960 --> 0:42:25.239
<v Speaker 1>that fifteen year old how it was two mm hmm

0:42:26.480 --> 0:42:29.200
<v Speaker 1>and eighteen They come in with their parents to our

0:42:29.239 --> 0:42:34.080
<v Speaker 1>shows singing Elite Mo and Mama Sita eighteen twenty year olds,

0:42:34.719 --> 0:42:35.520
<v Speaker 1>you know there was.

0:42:35.600 --> 0:42:37.600
<v Speaker 4>Five So Fergie's not on it.

0:42:37.760 --> 0:42:41.040
<v Speaker 2>The question I'm trying to it, Well, that's all we're

0:42:41.040 --> 0:42:42.040
<v Speaker 2>trying to you.

0:42:42.160 --> 0:42:46.560
<v Speaker 1>Forty yeah, yeah, forty five Shane. But to the twenty

0:42:46.640 --> 0:42:48.040
<v Speaker 1>year olds out there that like Jay Ray.

0:42:48.000 --> 0:42:51.040
<v Speaker 4>So Jay Rays on it, you got Okay, that's what's that?

0:42:51.480 --> 0:42:51.760
<v Speaker 1>Yeah?

0:42:51.920 --> 0:42:54.400
<v Speaker 6>But but yeah, so like like what happened after the

0:42:54.480 --> 0:42:57.359
<v Speaker 6>national anthem controversy, you didn't want anything to do it anymore.

0:42:57.120 --> 0:42:59.200
<v Speaker 1>You know like Bad Boys, Bad Boys, the Bad Boys

0:42:59.200 --> 0:43:01.040
<v Speaker 1>three song that we did Elite Moment forre you wasn't

0:43:01.040 --> 0:43:04.759
<v Speaker 1>on it, Okay, that was the national anthem.

0:43:04.880 --> 0:43:08.839
<v Speaker 6>Okay, yeah, no, the you remember you saw you saw

0:43:08.840 --> 0:43:10.080
<v Speaker 6>the national anthem controversy.

0:43:11.320 --> 0:43:16.160
<v Speaker 1>See, I'll be I'll be looking at the world optimistic, keep.

0:43:16.000 --> 0:43:23.680
<v Speaker 6>My head to the ladies.

0:43:26.040 --> 0:43:28.319
<v Speaker 4>Can they downloaded all that stuff?

0:43:28.520 --> 0:43:30.840
<v Speaker 1>Download f y I dot a I and if you

0:43:30.880 --> 0:43:33.719
<v Speaker 1>want to see Finn and Fiona in action, check me

0:43:33.760 --> 0:43:37.640
<v Speaker 1>out on Serious XM on My Serious XM radio show. Well,

0:43:37.880 --> 0:43:40.719
<v Speaker 1>my very the very first co host. That's a I

0:43:40.960 --> 0:43:46.520
<v Speaker 1>is Fiona on my radio show, and yeah, it's it's uh,

0:43:47.280 --> 0:43:48.120
<v Speaker 1>it's it's fresh.

0:43:48.280 --> 0:43:52.720
<v Speaker 6>It's a pleasure. Well, I've never not learned something from you. Literally,

0:43:52.800 --> 0:43:54.480
<v Speaker 6>every time you come and have a conversation with her,

0:43:55.160 --> 0:43:58.319
<v Speaker 6>I learned something. I walk away like, oh man, I

0:43:58.360 --> 0:43:59.120
<v Speaker 6>need to look into that.

0:43:59.760 --> 0:44:02.359
<v Speaker 1>Thanks, thank you, guys. It's always a pleasure to come here,

0:44:02.400 --> 0:44:07.280
<v Speaker 1>like and congratulations on the success. It just keeps keeps growing.

0:44:07.840 --> 0:44:12.359
<v Speaker 1>The subjects you talk about are like heavy subjects and uh,

0:44:12.719 --> 0:44:16.200
<v Speaker 1>light subjects. Funny subjects. You guys like cover the whole entire.

0:44:16.280 --> 0:44:20.080
<v Speaker 1>It's it's funny, it's fun, it's informative. It's like wow, damn,

0:44:20.160 --> 0:44:25.440
<v Speaker 1>like you really push you really pushed guests. Your fearlessness

0:44:25.520 --> 0:44:26.520
<v Speaker 1>is like wow, that's dope.

0:44:27.920 --> 0:44:28.960
<v Speaker 2>Thank you sir, thank you.

0:44:29.560 --> 0:44:30.440
<v Speaker 1>Well it's will I am.

0:44:30.880 --> 0:44:34.400
<v Speaker 4>It's the Breakfast Club. Good morning, wake that ass up

0:44:34.520 --> 0:44:35.040
<v Speaker 4>in the morning.

0:44:35.239 --> 0:44:36.280
<v Speaker 2>The Breakfast Club