00:00
There's a new era, and I'm not part of it. Right. And that's kind of how I that's a little bit how I feel when I see this. And I don't how do you feel when you see this in how do you intend to kinda like get your hands? You know, we're a bunch of scheming, greedy,
00:14
you know,
00:15
so we're good people. How are you gonna get your hands? On this. How are you gonna get your your sticking pause in this game?
00:27
Okay. This is the AI episode.
00:31
It's all AI. Everything is AI.
00:35
I was mind blown. I would say that's the right word. Like, to me, this is the biggest holy shit moment
00:41
I've had when it's come to when it comes to technology of seeing what's going on in AI.
00:47
For you, you got emotional, which is a strange response.
00:51
I think I I think I'm more emotional than you are. I think I, like, I get touched more than you do.
00:59
Let let me give you the background really quick. So it's a company called play dot HT.
01:05
But the and the one of their side projects is a thing called podcast dot ai. And basically, what they did was
01:13
They gave their AI
01:15
algorithm or program, whatever you wanna call it. They gave their, program
01:20
Steve Jobs's biography,
01:22
which is and I think they actually gave him one or two of his biographies because there's two or two major ones Then they basically gave, they gave the program every single Steve Jobs recording, I think ever or any of it they could find on the internet. Along with every Joe rogan episode ever. And they made
01:39
Joe rogan interview
01:40
Steve Jobs. And in the interview, it's like twenty five minutes long. They talk all about all types of stuff, but they say some amazing things like Joe rogan does the intro and he goes, like, he teases out who who it is just like he does in real life. He goes, what's up freak bitches? Which I don't even think he says anymore, but he said that in all the early episodes. He goes, what's up freak bitches?
02:02
Today's guest is someone who's incredibly smart, incredibly
02:06
genius. Let it let it let it let it In insufferable. Well, he says it's sufferable, which I thought was crazy. So go ahead. This podcast is brought to you by play dot h
02:16
t. All content is generate by artificial intelligence choice for this part. Listener discretion
02:23
is advised.
02:25
Hello, freak bitches.
02:27
Welcome to another episode of the Brojoggin experiment.
02:31
And on this episode, I welcome my friend who's difficult to describe.
02:36
I'm fascinated by him, and I hope you'll be too. And he is
02:41
weird
02:41
and brilliant, and sometimes totally insufferable.
02:45
But my guest today has made some of the great technological products of our age, and he's always pushing the envelope in innovation.
02:54
Like, for example, with his next computer, he developed a new programming language and operating system, and then he became even more famous for making three applications for that computer.
03:05
Word processor, a spreadsheet,
03:07
and an image editor. That just showed me that this dude was brilliant.
03:13
Had amazing taste, and I would just hope that I could be even, like, one tenth of the genius that my friend today is. And I can't even say his name. So, yeah. So I was super psyched about having him in the house today. First time or, yeah, we've had you on before, but not for a long time. You know, like, Patrick Sways and, Demi Moore and ghost you're a memory from the past. So without further
03:40
ado,
03:41
my friend who is difficult to describe and wonderful, and I'm so gratefully came on the show. How's it going? Good to see you, buddy. It's been a long time since I've been on the show. I've missed this. It's always fun. Wow. Like, just pause there. Okay.
03:55
So the things that, like, first, the voice quality,
03:59
The voice quality is incredible. Like, that sounds just like Joe Rog. It sounds just like Steve Jobs. It it is It has gotten so much better than, like, how this used to be. I remember, like, you know, when you had, like, the garmin GPS in your car and you could, like, choose the Morgan Freeman voice or whatever, like, anytime you'd have, like, this
04:18
voice robot that was trying to say something new, it sounded totally computerized.
04:23
And this doesn't. So the voice quality is one thing. The fact that it kind of, like,
04:29
it makes more sense. It makes more sense than it should.
04:33
Like,
04:34
He's doing an intro. It understands that. He's teasing. Like, this, my friend, who's here today, this person's a genius, but not saying who it is and what it is right away,
04:44
that's, like, an a showmanship thing that I thought was, like, really interesting.
04:49
The back and forth banter, like, he gives that long intro, and then Steve Jobs just kinda laughs,
04:55
like you would if you had sat down for this kind of interview with Joe rogan.
04:59
I just thought that was incredible the way it felt, like, a real conversation. And, obviously, there's some stuff that's, like, you know, he's talking about word processors and documents and a little too much. Like, nobody would do that. But, like,
05:10
damn, if eighty percent of that is not amazing.
05:14
And the reason I felt emotional listening to this was it's I felt both, like, in awe, but also scared because as I was listening to this, it I was agreeing with what Steve says. And,
05:27
what what we'll do in in a second,
05:30
Ben is fast forward, like, maybe ten minutes in. And basically,
05:34
jobs goes on this long rant about LSD saying,
05:38
you know, LSD changed my life, and I don't think it's for everyone, but it changed my life. And it opened my mind up and let me read all these books. I never previously would have read. And he says something like, I don't I wouldn't take LSD a bunch of times in a row because I only needed it once or twice and it by mine and it introduced me, and he he goes in-depth. He goes to introduced me to India.
06:00
And it's just
06:02
Well, he talks to me. He's talking God. He's talking about, like, all kinds of things that you're, like,
06:07
it's not just, like, reading a Wikipedia page.
06:10
You know what I mean? Like,
06:12
is very philosophical. He's like, when people think about god, they think about this,
06:17
but to me, it's and it's like, woah, that's a fully formed thought and philosophy,
06:22
and, like, that sounds like something somebody would say when they're having, like, an in-depth podcast and not just, like, I did this in nineteen seventy nine in March
06:32
when I was living in Albuquerque. And then in nineteen eighty one, I once again, you know, it it was wasn't that it was like a very real sounding thing. And he has this amazing. Did you hear there's this beautiful quote that he says And basically, the way that this company, if you ever listen to a bunch of Steve Jobs interviews, you'll notice that at points, it almost sounds like they're just chopping up some of his clips and just weaving them together because he has talked about this before. So I don't actually know if he's ever said this particular line before. But he starts talking about India and why he loves, like,
07:04
that part of the world. And he basically says, like, well, it's so old, and it influenced the rest of society. And he goes, there's an Indian epic that's ten times as long as the Bible the Quran and all these other things about it. The odyssey. Yeah. That's what he says. Yeah. He's like basically Indian
07:22
history influenced the rest of the world. And there's an epic that's ten times as long as all these other books. And I just thought that that's just like such an interesting By the way, he does he doesn't say the name, so it kinda leaves you wanting there, but he is talking about the the the Gita, which is, like, is, I think, that long. It's like a sixteen part
07:40
series or whatever. It's like this really, really long thing. I would bet that it actually is
07:44
multiples longer than the iliad and the Odyssey. So I I don't think it's interesting that he that. I I wait. And and this is the point is that when he said that, I said, I gotta find that book. Like, he just me on this book. In food. So
07:58
Yeah. I the dead jobs influence me. So, Ben, click play just for, like, thirty seconds. But there is some kind of deeper meaning to life And it can't just be something that somebody made up because if it was, it wouldn't be compelling.
08:11
It would seem contrived, and everyone would see through it. So I think that the meaning and the purpose is by the cosmos, the nature of the cosmos, which is pretty bold thinking. I mean, I don't know how else to put it. But it's not religious in the way people usually talk about.
08:26
Taking LSD was a profound experience for me, LSD shows you that there's another side to the coin, and you can't remember it when it wears off. But, you know, it it washes over you and tells you that everything is connected. You're not here by accident. You are put here for a purpose. And if you can figure out what that is, then you'll learn more about yourself than anything else could. It's pretty intense. So so so that quote is a real quote of his. Taking Lc was a profound experience. One of the most important things in my life, it shows you that there's another side of the coin. You can't remember when it wears off, but you know it. Okay. So that is like actual quote of his, but it's weaved into the conversation. Like, there's a part in the conversation where he where where he says,
09:04
He's talking about, how he's a fan of Joe Rogen. He's like, it's nice to just sit back in the car and listen to you rant. And it's like, okay. So The first one where he's the the LSD, you know,
09:15
okay. He they just took a they just took, you know, his good read section or his quotes, and they're like, okay. Cool. He's he says things like this.
09:22
But where did it how did it know to say to Joe Rogen that I love to listen to your podcast in the car? Just let's love to sit back and listen to your rant. Where would that have come from? How how does that happen? That is there's like little moments like that that are like
09:36
I just don't understand this technology well enough to know how it could know to say something like that in that moment. So the first half of the call, he talks all about India and these, like, kind of platitude, like life advice type of things, which were pretty amazing. But then the second half, which Ben just started playing a little bit. This he talks about Google, And they actually say Yahoo, Ron, they call it Yahoo,
09:57
that they put the emphasis on the wrong syllable. But they, he he's, he, like, does all these, like, says all these interesting quotes, which I actually think are things that he said again in the past, but he says stuff like, you know, that's a problem I've always had with Microsoft. In many ways, they're smart people, and they've done good work, but they've never had any taste. They've never had any aesthetic taste. And then he goes on and he talks about Adobe. And he criticizes Adobe's business model and he goes, Joe Rogen actually says, what would you do to fix Adobe? And job says, well, they've got eight hundred people working on Adobe's business model. That's just way too many p people. And the fact that they charge just a little bit of money for a small bits of the product, it's like buy a car, but only getting part of the car and having to pay more money to get the rest of the engine. And he, like, says these criticisms about Adobe with Trankly, I've if it's true, but it it must have went on, like, a rant about this, you know, in the past. But and and then he goes, you know, I had a lunch recently with Bob, whatever, at Adobe. And he, like, says their full name, and he leads up this part of Adobe. And he actually agreed to me that they need to fix it, and they're working on fixing it. And so anyway, he, like, actually gives
11:01
almost more advice and his opinions on what I think are current events. I'm not well versed enough with Adobe, but it seems like current events. It's pretty magical.
11:11
It's amazing.
11:12
Yeah. This basically was, like, bring back bring back someone from the bed technology. Ben, do you have anything to add? You're a you're a history guy. What did this, like, do you have anything that you felt when you when you watch this?
11:23
I really agree with Sam. It made me oddly emotional,
11:26
listening to it. It also scared me a little bit just because I thought of the application of, like, what if you, like, you did this to my grandpa?
11:33
And, like, what emotions would that bring back? And then that, like, frightened me of, like, oh, I don't know if that's a good thing to be able to experience, like,
11:41
this representation, my grandpa, that would feel like the real thing, but isn't. Right? Like, where are these thoughts coming from? So it's equal parts, like, really compelling, really cool. It's like a treat to be able to hear.
11:52
Well, I think it's like a pretty accurate representation of how steve jobs would approach some of these things that are happening today. But then also just like scary to rise, but it's not really him. And what is it really? Well, it's like it's like a video. Right? Today, you could watch a home video, and it's like you see their race. You hear their voice. The but you it's captured a moment in time. To me, this is an extension of that, which is, like, now it's gonna be somewhat interactive that you can kind of interact with these people or hear them talk about new things.
12:20
And you know that it's not like the real thing, but it's, you know, there's a Black Mirror episode that's a lot like this where the the woman, like, uploads her boyfriend's consciousness to, like, you know, this robot. She's kinda still dating him even though, you know, he's gone, but, like, there's, like, the shadow of him that, like, you know, can can simulate him.
12:37
And I think I think there's more good than bad. Sam, what do you wanna say? Yeah. So let me add two points about why this is gonna go even stranger. Well, the first point is is is almost scary. So basically in nineteen eighty five, This is a quote from Steve Jobs. He goes, my hope is someday when the next Aristotle is alive, we can capture the underlying world view of that Aristotle
12:59
in a computer.
13:00
And someday,
13:01
some student will not be only be able to read the words Aristotle wrote, but ask Aristotle
13:07
a question and get an answer. And so Steve Jobs wrote that in eighty five, which is interesting. Now here's where things get really interesting.
13:14
Because that's that's what he is what he's what just had what he just described is what just happened to him. It's magical. Now here's where things are gonna get even more magical.
13:22
So play dot Is it play dot ai or play dot h t? I wanna so,
13:28
part of their website, you can actually vote
13:31
for new episodes.
13:32
And some of the top episodes that people have voted for is Elon Musk interviewing,
13:38
Nicola Tesla,
13:40
Kanye West and Boblar, Marley, talking about music.
13:44
Jesus interviews god.
13:46
And then I believe there's Einstein and Buddha having a conversation on science and spirituality.
13:53
And that Trump interviews himself.
13:55
Trump interviews himself. There's Lex Freedman interviewing Richard Feynman, and then there's, Joe rogan mediates
14:02
peace between Russia and US. And that sounds like a joke, and it is a joke. But it's actually
14:08
an interesting tool where you're like,
14:11
well, like, let's hear Joe wrote alert. Let's see if Joe Rog could, like, bring together these two peep different people and hear each other's perspective, and we'll actually find out where one another's coming from. Even if it's make believe, And but it will still be, like, maybe that is actually how they feel. And I could work through this argument. So that's why this stuff is actually really, really interesting and powerful.
14:33
So let's switch gears. I wanna give you
14:37
my kinda, like, big picture
14:39
framework on how I think about AI. So,
14:43
I was having lunch
14:45
with this guy who has built this AI app.
14:48
He built one called, I think Wambo is the name of it. It had, like, a hundred million downloads. It basically could take a picture of you and make you, like,
14:56
make it look like you're singing.
14:58
And then they got copied a bunch. It got taken out of the App Store because of music problems. And then, like, I saw that. Now he has another one, which is basically, like, one of these,
15:06
text to image creators on mobile, and it's, like, really popular.
15:10
And he started saying this thing, and I kind of remixed what he was saying. And here's kind of, like, how the here here's where we landed with, like, what's going on with AI. So the last, I don't know, ten years have been
15:24
what I'll call left brain AI.
15:26
And, like, you know, you have your left brain and your right brain. Left brain left brain is your analytical brain.
15:32
And that's what artificial intelligence could do. You had big data. You had machine learning. You had, you know, all oh, the computer can play chess, and it's amazing. The Peter can play Go, and it's amazing. It beats the best players in the world. You had self driving cars where a car is taking in sensor data, camera data, and it's basically processing it and trying to make decisions like a human being using analytical decision making processes. It's trying to make the right judgment at the right time to maximize safety. And so that's what I think that's where we've been, and it's also in a way what we expected. That sounds like the type of thing that super computer
16:09
should be able to do is like, hey, computer, you know, just like you can multiply huge numbers and I can't do that in my head. You know, you should be able to drive perfectly every time. You should be able to play chess better than a human. Like, great. I get that stuff.
16:22
And then was this game changer where it changed into right brain AI. Your right brain is your creative brain.
16:29
Right. So this is where you got GPT three, which is what generates,
16:33
text, like, you know, what we just talked about with the Joe rogan thing. So you can just give it a prompt, and it'll just write an essay for you. It'll be creative. It can write rap lyrics for you. That's where you got Dali, which is art. So you could just say, give me a picture of a starry night, But with, it takes place in Hogwarts, and it'll just generate images that, like, create that, you know, paint pictures for you. And so, you know, all of a sudden, the artists are looking at this saying, wait a minute. Wait a minute. I it was fine when you were just messing with chess, but now now you're holding the paintbrush. What's going on here? And then you have that, you know, what we just played, you know,
17:06
play HD or unreal speech, they're doing this for audio. Like, how do you generate
17:11
audio, whether that's music, whether that's,
17:14
podcasts. It's just creating it from scratch. And, like, you know, like, here's podcasters like us. Let's wake up and we sit at our microphone, and we have to come up with this content, but now the machines are doing it too. And, and so we're competing with that. And then you have people doing this with video. There's a company called runway that's doing this where you could just describe a video, like walking through the streets of Tokyo,
17:34
and it's really busy
17:36
And then it it creates that scene. And they go, can you add some rain and then it adds rain? What what's that called? Runway ML.
17:43
Can I go on right now and just use Ben, pull up the demo for runway ml? I don't know if it's like launched yet, but they they put out a sick demo of of what I just described. And so now you got this right brain AI. That's doing creative shit, creative images, creative texts, creative videos, it's writing blog posts, it's writing essays, it's making paintings, it's making patterns, it's making music, it's making podcasts, it's making videos. And so now it's doing both sides. And that that's the big change that's happened, and that's the big holy shit moment. In the same way that NFTs brought a whole bunch of people into crypto who, you know, crypto when it was just cryptography
18:19
or it was just finance,
18:21
There was certain set of people that were interested. Then NFTs came out, and it was like, oh, cool. There's a whole art angle that, you know, like, celebrity access. It it brought a new audience in. This is that on steroids where the new AI stuff that's creative and is creating art and creating music and creating audio and creating text. That's bringing in a whole new wave of people beyond just people who were interested in a chess bot or a alpha, you know, at the alpha zero bought that place place go.
18:50
You know, those were kinda limited to, like, just the nerds. Now we got the nerds and the artists. Both in the mix. That's my framework for what's going on with AI. And the next ten years, I think, are this, like, right brain side taken over. And this Is that is that it? What is that? Yeah. So let's see.
19:06
Oh my god.
19:07
Like, it's, like, make it feel more romantic.
19:10
Add
19:11
remove the you just highlight a object. It's like remove this. I don't want this in the video, and it just removes the street lamp. And then it's like, Make a lush garden. Make it look like it is hand drawn. Make it look like, a jungle where there's whatever going on.
19:27
Wow.
19:30
So, like,
19:35
Like, that last thing it just did is so crazy. It just he you dropped a video in, and it goes
19:40
green screen the character. And it's a guy walking around, and it just, like, immediately removes the background. Then it says add a sunny sky, and it adds a sunny sky, then it says blur blur the sun a little bit, blur the background a little bit, and it blurs the background. While this guy is like skateboarding or whatever, like, that's crazy that it could do that.
19:56
You know, and now, obviously, you know, a demo
19:59
is generally, like, massive overpromise for what the tech can actually do. Yeah. But we can all see it. We can all see that, like, if they're not doing it now, like, it it it's reasonable that in the neck in the near term of ten to years, Like this is gonna be normal.
20:13
And
20:15
Add two inches to that guy's neck beard, and this is done.
20:21
Yeah.
20:22
We're we're measuring timelines by,
20:25
by hair low hair growth. They,
20:29
This is one of those things, and it doesn't happen often where you see something, and you say to yourself,
20:35
it's not there yet.
20:36
But it will be. And it's almost like where you, like, test it's almost like when I was in a Tesla for the first time and it went and it was, like, a practical car that also went zero to sixty in three seconds, even though the range wasn't good and, like, this other thing wasn't good, but I get into it. I'm like, Oh, well, yeah. Like, in ten years, this is what this is just the norm. This will be normal. And those types of things It's like puberty. It's like the there's much changes happening.
21:03
The voice is changing, but it still cracks. And you're like, alright. Doesn't sound great yet,
21:08
but it'll get there. Yeah. And this is one of those things. And and it's it's pretty magical when you see it. And, like, a really some seemingly basic, but actually quite profound,
21:18
ways that this is gonna impact thing. I mean, basically, it's almost like I don't know if you know anything about music, but, like, I was listening to this documentary on,
21:25
Nirvana, and Dave Groll was talking about his newest album. He's gonna use analog, like, which is like tape recording. He's gonna, like, record it, like, with the all in one room, but he because he's like, with pro tools, like, you know, it's the technology, it's the recording technology they use. It's called pro tools. It's kinda like Photoshop, but for music, and he was like, we could record all this music. And, like, we only gotta do it and then we can like drag and drop different stuff and we make like the sound
21:50
perfect. Like, the every snare is like exactly on the beat that it should be and it's perfect. And he's like, We kind of wanted it to be a little soppier to feel more human because Pro Tools has made this stuff perfect and that's an example of what's gonna happen and like some really mundane, but interesting
22:06
examples are basically, you know, have you ever done like
22:09
sale, like high ticket sales or you're trying to sell software or some type of service that requires tons of back and forth on email? A view, like, cold emailing someone and then, like, them saying like, oh, well, this is kind of interesting, but we need this, this, and this. And then you have to, like, reply back. Sure. That costs so much money with the people. You gotta train people on the right things to say. You've gotta give them documentation on all the right things to say. Then you gotta, like, add in, like, the wow factor of, like, can you, like, flirt with them the right way and can you, like, play this game the right way? Like, that shit,
22:39
the, like, reasonably
22:41
it's it's reasonable to see that that will all be automated
22:44
in a in in the near term. Like, a call center won't be a thing. There's gonna be, like, your AI call center or whatever we wanna call that your operations
22:52
hub. And then there's gonna be, like, just in case that doesn't work, we'll have a couple of people there. Right.
22:58
Well, I, I invest one of the companies I invested is called InfinitIS. And the the funny thing that they did was they're like, oh, man. Doctor spent so much time in their back office. Like,
23:08
just trying to do billing with insurance so that you'll call up the basically, you know, patient gives you information for insurance. You then call the insurance company, and you have to verify the name and the number, and then you have to get it. Like, here's the reference code for what treatment they had or whatever. Right? All this back and forth.
23:24
And
23:26
most entrepreneurs solution was like, oh, this is so much back and forth. We need to eliminate this and rechange the system from scratch. And what these guys did was way smarter. They were like,
23:35
oh, why don't we just save the doctors a ton of time? Let's make a robot that calls their robot. And so they created a robot that will call, you know, whoever insurance provider's robot, and the insurance provider was like, please enter the patient's identification number. And then the robot goes nine two four three three six. It's like, thank you for your patience robot. And it's like, please
23:57
say if you want number one. And then the robot has infinite patience to just do the whole call by itself. Lovely. Same doctors a ton of time. They're doing really, really well. Let me give you,
24:07
we have to talk about interior AI.
24:09
Yeah. So let's do a couple other examples. So, here's another one where, you know, Peter levels who came on the pod,
24:16
you know, massive out of fan favorite. This guy's got, like, a a killer following. And one of the reasons why is because
24:22
He loves to just hack together and make stuff. I think when you I think when you were looking at his thing, you called him at what did you call him? You called him an artist in that way too. You're like, Yeah. I forgot your description of them, but you're, like, you're a,
24:35
I can't remember. It was something, like, you called them basically, like, like, a a a code artist or something like that. Well, I I I don't know. Remember what I call the, but to me, he's like a craftsman, you know, like, he's like a he's like a punk rocker who, like,
24:49
he's like a musician who just, instead of playing on a a a musical keyboard, he's playing on a computer keyboard, and he's pretty magical. He's a pretty magical, like, creator, I think. Yeah. There there's definitely an element of punk to him where he's, like, for example, he's, like, I don't do email or phone calls ever. If you wanna if you have a quest, for me, here's a frequently asked question thing. Like, why? Because I like to just work on my shit and then I like to go swimming. And, like, those are the things I wanna do. Right? Like, you know, I don't wanna live in one place. I'm gonna just move around and, like, be a nomad, and I think that's cool. And he did that before remote work was popular. So he explained what this is. He's been building it publicly on Twitter for a while now. About three or four months, maybe. So, no, not even, dude, like, couple weeks.
25:29
So,
25:30
he created this thing. It's interior
25:33
AI, like interior design.
25:35
And what you do is you could basically upload a photo of any space
25:39
And you can say what it is. You say you drop it you drag and drop a photo of a space by the way, I I wanna create a YouTube video that does all these demos live one by one.
25:48
But, like, you upload a space, and then you say what type of room it is, you say what type of style you want, like, do you want? Ski chalet. Do you want tropical? Do you want, like, minimalist? Do you want a maximalist? Look.
25:59
And then you,
26:01
you say how many versions you want, and then you click render my idea, and it just creates, like, an interior designer would.
26:08
A super realistic. Like, go to his Twitter and just, look at the,
26:12
look at his, like, demos there, Ben.
26:15
It generates, like, a super realistic looking interior. So what he took, like, for example,
26:20
Kim Kardashian's house.
26:22
And he took the photo from their, like, living room, and then he uploaded,
26:27
he said, like, you know, give me a d give me some inspiration turned it into, like, a hot spring. Like, it turned it into, like, a whole different, like, thing and, you know, altogether.
26:36
But it's really amazing. And it's like, yeah, here's all the stuff you would need to make your house look like this. Do you like this? Look, nope. You want a new one? Push a button. Get another one. Push a button. Get another one. Push another thing. The other and which is Well, you were saying, that would be so much back and forth with a human being. You would sit down for design meetings,
26:53
and then they would have create a lookbook, and then you'd give your feedback, and then they would you know, maybe give you a rendering, but that takes time and energy on their part. And then you'd say no, and then you'd have to go back and forth. Here, You just push buttons and you just immediately get this, like, dream. It's like, you just get to dream out loud. And, like, you're just dreaming, and it's just generating
27:12
images of, like, you know, the for you to kinda, like, remix off of, which is a totally different creative process. Like, that cuts so much friction out of the creative process that even somebody like me who doesn't have design tastes,
27:25
this is, a, the superpower to give you design taste, but, b, it takes all the friction out so you don't have the impatience. Right? Okay. Look at the look at this one. Yeah. Go go back and forth with this. So so it's this crappy warehouse
27:37
like space. Just empty, I don't know, Sam. Like, describe what you're looking at in here. So this is clearly an old factory that someone's trying to turn into an apartment. It's an industrial style,
27:48
thousand to two thousand square foot room that looks beautiful but is too rustic to live in and entirely empty. And he says,
27:57
I found an original empty loft photo.
28:00
I wanted to add interior
28:03
decorating that was industrial style, and I wanted auto detect different parts around the building. So it looks like there's like a pillar in the in the middle of the room. So he wanted to he said, I wanted to decorate around that. And he said, alright. Go ahead. Enter your AI. Do it. And let's look at the next picture.
28:20
And then it turns it into this, like modern looking loft
28:25
it's the same place.
28:27
And then it replaces the floor, and then it does this, and it does that. Like and you could I think here's another version that it create like, it creates, like, multiple versions of it. Oh my gosh.
28:37
Yeah. Some of these are what's which this was crazy. Right? They have, like, replaced the roof with, like, bamboo and, like, you could see through the roof now. So you know, some of this is not super realistic, but you you said something earlier that I think is worth noting, which is
28:51
it's not perfect, and there's, like, definitely some weird stuff that it's, like, well, that doesn't make any sense.
28:57
But
28:58
You have to see through that right now because that stuff's gonna get better. And there's this great blog post from back in the day by this guy, Paul Bokite, who created Gmail when he was inside Google. And if the blog post is called, if you're great, you don't have to be good,
29:12
which honestly is kind of the motto of my life. Right? Like,
29:16
Sam, do I show up late to this podcast?
29:18
Yeah. I do.
29:20
Am I wearing my boxers right now? Yeah. I am.
29:23
Did I prepare for this podcast? Not fully.
29:27
But if you're great, you don't have to be good. And, like, that's true. He's like, you know, with with Gmail, people were like, oh my god. It doesn't have this, and it doesn't have a contact book, and it doesn't have this. He's like, yeah. But look, it's lightning fast. Has unlimited storage. And then the search is amazing. You could find any file in any email instantly. And he's like, when you're great, you don't have to be good. He's like, the iPad. People were like, oh my god. It doesn't have a keyboard. It doesn't have a USB port. It doesn't have this. It doesn't have that. He's like, yeah, but watch this. You tap a button and they're, like, instantly is on. It doesn't have, like, a boot up process.
29:58
And, like, you swipe and you're on the internet, and it just lets you browse the internet from your, like, your couch, you know, where you're, you know, on the go where you're you don't have your laptop or you don't have your desktop computer, He's like, so when you're great, you don't have to be good. And he had released that when the iPad came out. He's like, look, the iPad just got released. All these critics are saying how that's a huge flop. I think they're wrong because they're making this mistake. They want things to be good everywhere, but you just need to be great in, like, three things that matter. And everything else can be kind of sucky, and it'll still win, and he was absolutely right up at the iPad.
30:31
Are you
30:32
so
30:34
Let's talk about opinions a little bit. Where's your head at with all this? I mean, when I see this, I think, a, I am not capable. Like, I I I don't have the ability to work on this. I I I just I simply don't have the horsepower
30:47
and, like, I appreciate it, but I The engine I got upstairs. Oh, yeah. It's more of a go kart
30:54
Yeah. Yeah. Yeah. Yeah. Yeah. I'm I'm definitely
30:57
well, I'm like, I I'm very much either gonna be a spectator or only semi in fact, active person in this in this game. Like, you know, you made a you made a funny joke when we were talk, you and I so Sean and I are obsessed with TikTok. So we will watch TikTok constantly. And we made a joke or chaw made a joke. He goes, we're content creators
31:16
in the same way
31:18
that,
31:19
a horse carriage person
31:21
in nineteen twelve, and they just saw Henry Ford drive by on his car. Like, that turns like wiz behind. You're like, oh, shit.
31:29
Yeah. How was that?
31:30
Yeah. Like, I that's how I feel about it. Watching TikToks.
31:34
Yeah. I've seen eighteen year old with Vans who, like, makes this, like, spectacular,
31:38
like, video of, and it's just the funniest thing ever. And I'm like, oh, there there's a new era, and I'm not part of it. And that's kind of how I that's a little bit how I feel when I see this. And I don't how do you feel when you see this? And how do you intend to kinda, like, get your hands? You know, we're a bunch of scheming, greedy,
31:56
you know,
31:58
horrible people. How are you gonna get your hands on this? How are you gonna get your your sticking paws in this game? Well, that's a great question. It's a question I've been asking myself. I'm a little bit different than you and that I'm I give my I have a little more self delusion where I'm like, I could do this.
32:13
You know,
32:14
I could I I I if I hired the right people,
32:18
you know, I could be the vision guy. Yeah. Yeah. Yeah. I'll be the vision guy and, like, and I'll have the idea and then all these geniuses will just make it happen. You you you previously had a company that was
32:29
my I would tell my parents I had a tech company, but it was really just an email newsletter. It wasn't a tech company. You actually had a proper
32:37
technology business.
32:39
Right. Right. Yeah. You you were just basically, like, writing brochures.
32:42
And,
32:44
whereas I was running a a Silicon Valley Yeah. Yeah. Yeah. Enterprise. I'm like I'm like, a restaurant who has an online ordering menu, calling themselves a tech company.
32:54
The next Google.
32:56
Yeah. Yeah. I'm used to working with people that are way smarter than me, and I, like, go over to the I rolled my chair over to their screen, and they're just like, what do you want? And I'm like, Hey, bud.
33:07
Can you do that thing again where you made the thing, like, bounce during the animation? Was so cool. I wanna just, like, upload this to my Twitter. Can you do it again? And they're like, yeah, sure.
33:17
So I'm used to working with designers and engineers. I wait out today. So I I kinda look at it as as following My plan is this.
33:23
Invest in everything because investing is easy and great.
33:27
Right? Like, I'm a believer in this wave. I'm
33:31
excited about this. And I think that I can help because a lot of the people who can build this stuff, they don't know a, where to apply it. Like, what's the What's the actual pain point I should be solving? And, b, they don't know how to, like, build maybe a defensible business or a go to market strategy that might make sense for like, okay. Cool. I'm gonna invest in a bunch of these companies. That's plan a. That's already in motion. It it would you say that this is the most interesting sector?
33:56
For sure. For sure. And I kinda feel like an idiot because it's like, oh, cool. Now you're interested in the new thing, and it's like,
34:04
On one hand, I get that.
34:07
You know,
34:09
oh, crypto. You are you are in fact, a dumb idiot who chases Yeah. I just chase the next shiny object. And there's some truth to that. Like,
34:17
crypto was the more crypto prices went up, the more I invested and the more, you know, then I created the milk road and, like, that, you know, I turned my content attention to it.
34:27
So, you know, now, oh, you know, it's like that meme. It's like, you know, the guy guy who looks back at the new the new thing that's, like, you know, the hot thing behind it. It's, like, yeah, AI is that new thing.
34:38
But at the same time, What am I supposed to do? I just saw a fucking flying object. It I just saw a UFO.
34:44
What am I supposed to do? Pretend I'm not interested? Like, no, I'm super interested. Like, you know, count me in, like, beam me up and, you know,
34:53
have your way with me aliens. That's how I feel about AI.
34:56
Did I ever tell you the time that in our office there was a porn studio across the street that would leave their windows open?
35:04
No.
35:06
So at my office in San Francisco was at Bush and Kearney in the financial district of San Francisco, and we were on maybe the fifth floor.
35:14
And there used to be this company called Breather, and it was almost like Airbnb, but for office space. Maybe like WeWork,
35:20
where they would, like, pre rent tons of, like, one single small rooms. A meeting room. Yeah. Yeah. Meeting room. And then you could rent it by the hour. And we have these huge beautiful windows at our office. And you could see across the street, which was only twenty yards, you know, just the size of a small street, and you could see across where this other room was, And eventually,
35:41
this soft core
35:43
porn company started renting it. It was a breather, and they would rent it by the hour. And I think it was for only fans. I think it was where a freelance photographer
35:52
who's specialized in, like, webcam girls or something like that, and they would come and take, like, their their portfolio pictures, and they would always comment like two days a week at like two o'clock and they would get completely naked.
36:04
And would just be there taking pictures. And I had this woman working for me named Edie, who's probably sixty five. And her and I sat next to each other. And I remember, like, it happened. I'd be like,
36:16
yeah. They're there again today. And, like,
36:19
you can't not look at Edie's, like, hardcore Catholic. And she's, like, do the sign of the cross. They're here. Yeah. She would do, like, the side of the cross and, like, start holding onto her, like, rosary, whatever they would come in. And she would, like, oh, gee, like, she would say, like, oh, baby Jesus, like, you know, dear. And you were saying, Peter, but for different reasons.
36:36
Yeah. For different reasons.
36:38
She was more so on, like, Wow. I was more like, wow.
36:44
And,
36:45
it was one of those things where I remember sitting there and our office was like, six young men and then, like, Edie. And I this this this, like, porn was just not not porn, but this nude photo, photography, which is happening right there. And we just, like,
37:01
had to stare at it all day. And I remember it being so challenging to work when that was happening. That's sort of like AI. That's my long tangent.
37:09
Where is he going with this? Okay. Yeah. I I'm with you. I'm with you on that. That's that is You don't remember that? And you you were never there when the the they got naked?
37:18
No. I never saw that.
37:20
But, you know, thanks a lot. Not inviting me.
37:24
So so, yeah, that that is how I feel about this. I'm like, what am I supposed to do? Not look edie.
37:29
I'm looking. I'm looking and, you know, the I'm looking as long as they're there. That's how I feel about AI. So I'm gonna invest in this stuff
37:36
I'm gonna keep learning about it. And then who knows? Maybe start a a company in this space, you know. It's pretty exciting. Would you really?
37:43
Yeah. It's exciting. I mean, like, this is like a It is exciting. It's an unlock. It's like, oh, we got new toys to play with. Like, I can't leave them in the box. Like, I gotta unbox and see what I could do with it. So,
37:55
you know, I I I don't know. We'll see what happens with this, but let me give you a couple other,
38:00
kind of mind blowing, you know, examples here. So
38:04
okay. So another one is Jasper. So I just invested in this company called Jasper. Jasper Yeah. The valuation was steep. I'm shocked you did it.
38:12
Yeah. The revenue curve is also steep. It's way it's working really well. And now I I I went in and I told him this, I go, your numbers are insane.
38:22
This might be fraud. That's okay. You know, we'll we'll see. I don't think it's fraud, but, like, the numbers are so so impressive that it's, like, you know,
38:30
when you say, wow, that's unbelievable. There's a part of you that's, like, Is it wait. Is this believable?
38:35
So, you know, there's there's there's that. And I said, the other thing is, you know, sometimes these companies they get off to really hot starts, they don't necessarily sustain.
38:43
Like, sometimes that explosive growth can can can make you. Groupon. But it can also break you. Groupon. Last you know, during COVID, Hopin was an example of this where Hopin was, like, you know, started, and then it was, like, the perfect thing at the perfect time, and it took off, like, a rocket ship, and it became worth five billion dollars. And then now there's, like, they just laid off, like, whatever, a thousand people because
39:02
COVID ended, the demand went down. They couldn't sustain that sales growth. They had forecasted that they'll they'll always keep growing like a rocket and maybe that didn't happen. So, you know And by the way, the founder
39:12
took a hundred million dollars in secondary.
39:15
Yeah. You know, it just had to secure the bag for his family. Right?
39:19
He's like, I got kids.
39:22
He don't, but I
39:25
I'm gonna have kids. I better get this back.
39:27
Gonna use that excuse all the time regardless. So if I got kids, dude, I got kids to feed. I got a family.
39:33
Right.
39:35
It was such a good uncle.
39:37
Okay. So check out this demo of what Jasper can do. So, basically, I teach, like, a, a writing course called Powerwriting, and my whole goal is, like, Hey, if you're gonna write something on your website or an email, or your Twitter bio, or you wanna write content for blogs, like, you're either gonna write it, and no one's gonna read gonna go nowhere. It's gonna drive no results, no clicks, no sign ups, no followers,
39:57
or it's gonna, like, actually, like, achieve the thing.
40:01
So it's like a genie. Right? You say you say what you want, and you just give it, like, a little guidance. Like, make it funny.
40:07
I want an ad that's gonna, like, promote my gym. It's called crunch.
40:11
We have this welcome offer where you get it for twenty bucks. Make it funny, and I want it as a Facebook ad. And then I want it as a a cold email. It just jump and you're like, give me ten options. It gives you ten options. And then you can just, like, edit them or whatever, or you can literally highlight it and just say, rephrase this. I didn't like the way I didn't like this intro. Give me a new one, and it'll just give you a new one. You're like, giving another one. It's like, gives you another one. I mean, it's like the best employee
40:34
that's, like, creative
40:36
super prompt just immediately delivers the thing you want. It's kind of, like, amazing. So, like, watch, watch a, like, another thirty seconds. This is like the boss mode version. To documents. Now I want you to imagine documents. It's kinda like Google Docs if you had an assistant in there and you're the boss giving your assistant instructions on how to do Now for our first example, imagine a real estate agent who has a lot of outbound sales emails to send out this week, and he wants to save some time by using his AI assistant Jasper. If I get a hang of this by now, on the left, we give Jasper some context of our situation, any background information we need along with tone of voice and keywords. And then on the right, we can supply a pattern so Jasper can follow that because Jasper's really good at following patterns and apply that with all the information it knows from the internet. So here, we just provided a really good example of what good behavior would look and then we provided some merge tags, empty little slots that we want Jasper to fill in. In our situation, the real estate agents, Dave, clients, James, markets Austin, Texas, it's the New Year season. Demand is up, inventory is down, and we want them to hop on a call. So now we're gonna write with AI. We're gonna do a Jasper command. Remember that feature for later. Okay? Now what we're gonna do is activate voice mode.
41:33
Hey, Jasper. Write an email from Dave to James about an update on the awesome Texas real estate market and ask for a call later this week.
41:41
Alright. We're submitting that command. Imagine if you're the boss and Jasper's your assistant, now he's following your directions.
41:47
Look at that. It's perfect. You can go ahead and Imagine all the sales emails. So,
41:53
like,
41:54
so that's why these guys are taken off because they basically say,
41:57
you know, where you had employees, you no longer need employees. Or if you had a good employee, they're now they can they can now be ten times more productive.
42:05
When they do this. You know, so so this is, like, kind of mind blowing on the, like, text generation for business side of things. This is crazy.
42:12
Let me tell you, like, another wild example.
42:15
Are you gonna use this for your business?
42:17
Yeah. So, yeah. Exactly. So I'm using it. I just started using this for for ours. And what are you using it for?
42:23
Well, two things. One is I'm gonna try to use it when we do our prior writing course. I'm gonna teach people how to use this, but also use it in the, like, kind of the sales process. But, like, with our ecomm thing, I wanna try it.
42:33
Even with milk road, like, there's, like, there's
42:36
cases where maybe our writers can be more productive if we give them this tool. Example, every day at the milk road, we we start with an opener that's like, you know,
42:45
hey, what's up, does the milk road? The crypto newsletter that's brings you new so fresh. You'll think it's, you know,
42:52
it's new so fresh. It'll smell like laundry straight out of the dryer.
42:56
I love that smell. And it's like, that's what we well, like, like, I just made that up off top of my head. But you give it three of those, and then we could just tell Jasper, generate, and it'll generate, like, five hundred o clever openers like that, which is great because that's, like, one thing our writers every day have to come up with a cool new one. And, like, know, it takes, like, you know, a little mental energy to do that. And it's it's not the easiest thing, but now they can get better doing things like that. Let me give you a wild example. So Go to, I don't know where this is gonna be. I don't know if they have a website. And how are how are they any different than copy AI? Because that I invested in copy AI and and they do the same thing. Just imagine copy AI
43:32
with more revenue.
43:39
No offense to copyright. Those guys are cool.
43:42
It's kinda like LeBron James. Just
43:45
not good.
43:48
Yeah. Listen, this is gonna be Lebron. Just imagine me taller, faster, stronger, more successful than Richard. It's sad. I think no. I I've been by the way, I've been an investor in Cafe. I love those guys. Paul, is to ponder who invested. And they they're at ten million in revenue. Yeah. They're doing great. It looks like they're actually quite similar, but I think they're geared towards a different
44:06
user. But, yeah, I would have to dig deeper into Jasper to truly understand. But anyway, go ahead. So, okay. So here's other examples of things that I think are amazing. So the same, by the way, the same thing, the way this just helped a content marketer or a salesperson
44:20
generate text for their emails and blog posts. Like, this thing will write whole blog post for you. And by the way, you can write a blog post, and then you click the SEO button, and it'll score how SEO friendly this is and how much it thinks it's gonna drive for you. Right? So that's pretty smart to, like, link these things together. Because on the surface, what the what are all these companies doing? They're just using basically the same sort of like GPT three engine. So on one hand, these companies are not very defensible. Anybody could take these open source
44:47
language models
44:49
and build a user interface on top of it. And so, like, I can create another competitor to copy AI or Jasper or one of these summit things. But it's all in the, like, the user interface, the applications,
44:58
and how much, like, business utility you add to it. So let me give you another example of business utility. So
45:04
This is now in the photography,
45:07
use case. So for example, for my e commerce brand, we spend a lot of money every month. Maybe something like five to ten thousand dollars a month easily
45:15
on photography. So you have to take pictures of your products, You have to take model photos. You have to do castings and then, book models, then they come to your studio, and then they use your products or whatever. You take photos or videos of that, you use that for your website, you use that for your ads, that sort of thing. And so that whole process takes, like, multiple people. Right? You got a photographer. You might have a casting person. Have a editor maybe.
45:38
It takes time. So, like, we can't just have it instantaneously.
45:41
Like, you have to schedule these things. They take weeks.
45:44
Don't always turn out good. Like, maybe you have, somebody that doesn't that that it didn't turn out. The the shot didn't turn out how you wanted it, whatever. So check out,
45:53
Dream booth. So Dream booth let me give you the link for this.
45:57
So there's two here, osmosis AI and Dream booth, but try,
46:01
Let me give you this link. So this guy did you have one?
46:04
No. This one, I think work this guy, I think works at Shopify. Is that correct? Yeah. So this guy, like, works in the, like, future division at Shopify, I believe.
46:13
Strange native is his, his Twitter handle. And so, basically, what he does is he just shows, like,
46:20
AI can unlock unlimited product photography. So, basically, you could take a a generic image
46:25
like, the left image here is just like a shoe on grass. It's not particularly good. It's like kind of a glare. It's on grass. It looks like you didn't put a lot of effort. You know, you just went out in your backyard or a soccer field and took this And then you could just say, make this shoe look epic. And then it puts it takes that shoe, cuts out the background, puts it on and it automatically puts it on this, like, light being background or whatever. But, like, look at the other examples. So, like, the second example, I think, is better. Look at the training image. So it's a dude taking a selfie in this hoodie.
46:53
And it looks okay. I mean, like, actually, it doesn't look okay. It looks bad. You can't use this on your website for e commerce.
46:59
And then it generates
47:00
a model, like, studio looking photo of this same hoodie. This one is kinda unbelievable to me. This is that good where it's like, dude, if I could just take me wearing some crappy like, we may me wearing my product and, like, don't care about the lighting, don't care about the background, don't care if I have my hair done that day. And it'll just generate
47:17
Like, it gave this dude pecs,
47:20
and it gave him, like, you know, better shoulders and, like, a jaw line. And, like, you know, it fixed the lighting and it put him on a background image and, like, What the hell is it? But give them magic How do I use this? How do I use this?
47:31
You just click like on the tweet for now. I don't think you can use this I think this is like proof of concept. I don't think this one's like a a product product yet. I could be wrong, but I think a lot of these are, like, they're doing demos, training models just to see what happens.
47:45
Dude, this is this is crazy to me. Some of them, they open source the codes. Right? Here's this photo of this chair. Oh, wow. Put this chair in, like, this epic thing. So there's this, and then there's someone doing so this woman doing this thing called osmosis, which I think is more of a real product.
47:57
Let me give you the the link to this. Mickey Friedman, is her is her name.
48:03
So what she's doing is basically
48:05
you give it, like, an image And then you say, turn this into an ad, and it'll turn it into Facebook ad created for you by turning it into a video, making it look cooler,
48:15
that sort of thing. Now, again, I haven't tested these products for, like, for real, for real to see if it's, like, any good or not, but
48:21
the concepts are good, and whether these exact products are the ones that do it, someone's gonna do it because all these are really valuable business use cases
48:29
that, like,
48:30
if I could do this, now a process that's costing me ten grand a month,
48:35
cost me Just cost twenty nine dollars a month. Yeah. Twenty nine ninety nine a month, and it's instantaneous, and it's better. Now you're ten times faster, ten times cheaper, and ten times better. And, like, that's the makings of, like, those are billion dollar companies when they do that. And so,
48:51
that's really exciting. This is just this is just one hundred percent frame breaking is what it is. When I see this stuff, it's just like, I just got a little peek into the future.
49:00
And so then then there's like And and and by the way, this is still super early. It these products work, but so few. There are there's a lot of people, hundreds of thousands and millions of people who know and care about this, but comparatively to how much of an impact this is gonna have is we're we're that no one knows about it.
49:19
Yeah. So so check this guy out. So I just talked to these guys yesterday, young guys. I wanna invest in them, but I didn't love their idea.
49:26
So check out this guy.
49:28
I'm gonna send you a link.
49:30
So I'm gonna send you this link, but in the meantime,
49:34
you should,
49:37
just, yeah, hear me out. So these guys, basically, they're young guys. They started one guy started a company college, raised a little money, didn't end up working out, failed. And he's like, then I was just thinking about what to do next. I was kinda joining these different communities, and he's like,
49:51
then I met Hugh,
49:53
through TikTok. I was like, how'd you guys meet? I always ask every co founder pair. How'd you guys meet? They goes, we met through TikTok. I was like, you Oh my god. People Kids's meet through TikTok, that is?
50:02
You do YouTube? What?
50:04
So he's like, yeah. Hugh has been making jarvis. So I don't know if you've seen the movie Ironman, But, basically, in Ironman, I I guess I haven't seen it. So but it's, like, you know, there's a AI assistant who he, like, talks to and, like, takes care of shit.
50:17
So this guy for the last year has been building in public on TikTok, trying to create
50:21
Jarvis. Like, trying to create, the real life Jarvis on on TikTok. He's got, like, a million followers on TikTok as he's been building this. So they met through this process, and they decided to, like, create an AI company together That actually, like, does, you know, some version of this. And one of the things that they made the first thing that they made is this thing called Carter. And what they're doing with Carter is they're like, you know, in games, you you walk around, there's just like, you know, you walk into the store. It's Grand Theft Auto, and there's, like, a guy working at the store. And they call these NPCs, non playable characters. It's just like a character that's in the game so that the game's not empty, but they don't do much. You can just, like, punch them or, like, talk to them and they say the same three words. So what these guys started off doing was Hey, any game developer who wants their characters in game to actually just be able to talk using a, like, AI,
51:05
just plug this, like, line of code in and all of your non playable characters will all of a sudden be, like, able to hold conversations with the players, chit chat back and forth.
51:15
Do all the stuff we've been showing that, like, you know, the AI Joe Steve Jobs thing, like, just like hold a full conversation as long as you want, or guide the player to go do something. Like, hey, I'm looking for the sword to, like, Well, if the if it's the sword you seek, you should go check behind the waterfall. Yeah. Maybe there's some answers there for you. And, like, it guides you automatically. You don't have to hard code that response. Because if the player asks for something else, they'll say something else, but, like, kinda guide them towards that answer.
51:41
I don't know if it all works at second beta, whatever. And I don't honestly, I don't love this use case, but It is a cool use case. It's a cool idea
51:48
of, like, oh, yeah. I guess in the future, games,
51:51
just these, like, stock characters that are walking around are gonna not just be, like, random objects. They're gonna actually be, like, things you can interact with, which will change the way that the games work. Like, you'll be able to spend this guy. Hours and hours in the games. This guy Hugh just retweeted a tweet from this guy named Alex Wang, who's the CEO of Scale AI, which I don't even know what what entirely scale AI is other than it's like a ten billion dollar software company. And so he's It's like for labeling data. It's like to to make your to make your machine learning smarter, you need label data. Let's say you're a self driving car company. You need to, like, look at a million images and point out which what was a, a shadow versus a dog crossing the street? So they basically
52:30
give you software that will let you upload your images. And then there's humans, like, I don't know, the Philippines or somewhere, I think, that, like, will label your data for you, and you just pay per image, like, two cents or one cent one cent or whatever.
52:41
So presumably, he's quite intelligent and he has, like, a really grand perspective because this company is so big and he sees lots of information.
52:47
He this guy's Hugh retweeted something from Alex, and he says, we're at a critical turning point for humanity.
52:54
Children born today are likely to have more
52:57
AI friends than human friends.
53:00
AI friends are gonna be more reliable,
53:03
I don't even know what that word is. Consilatory. What's that mean agreeable,
53:06
and considerate
53:07
What does this mean? Well, what what does this mean for childhood development and social norms? We will find out.
53:15
That's wild. I I completely agree with him. And then he says loneliness is an epidemic. It's on the rise in a real public health problem. This technology when it exists
53:25
has a lot of potential for good.
53:29
Yeah. I love that. And I'm I'm, like, this is so fascinating.
53:32
So let me tell you three ideas
53:35
that I think somebody could build that are not in the demos we just talked about. Alright? K.
53:40
Idea one is exactly what he's talking about. And I call it, you know,
53:45
some version of either the AI friend or the AI therapist.
53:49
So
53:50
There are a lot of people out there that would benefit from therapy.
53:53
And there are apps that will connect you with a therapist on your phone, like, I don't know, seven cups of tea or, like, I don't know,
54:00
talk space or I don't know. I don't know. I don't know. Some companies.
54:04
You're like you're like, I don't know. I'm not one of those therapy losers.
54:09
But you've broken people. You you know what you use.
54:13
So these companies, and there these companies doing well. They're they make, you know, like, a hundred million dollar plus a year. It's great. But it's very expensive.
54:21
And so if you were, like, there there it's just it's a cute little company. You know, they're they're whenever, like, You need, like, there you know, what the crypto bros, like, you you you started using the word web three point o, and you're like, those those web two point o dorks Like, that's what you have to describe. Like, whatever is just, like, human,
54:39
you know, old school.
54:41
Yeah. Exactly.
54:42
Reality reality two point o. AI replaces DNA. That's what I that's what I believe. And so the what they were doing was they're connecting you with a real life therapist whose license and blah blah blah and blah blah. And because of that, you know, they've maybe taken in person visit, which might be a hundred fifty or two hundred dollars, and they turn it to
54:58
sixty or ninety dollar a month subscription where you get three visits or something like that. I don't know the exact economics, but something like that where you're paying
55:06
a kind of meaningful amount of money, but you're getting it more conveniently than if you just went to a a Yorguan in person. And you also don't have the the stigma, the taboo of telling your friends where you're going, I'm going to this. No. They're just on your phone in your pocket. Well,
55:19
there are, I don't know, Tens of millions, if not hundreds of millions of people who would benefit from having someone to talk to, either a therapist or just a com a friend, a companion, somebody that they can confide in somebody that won't judge them, somebody that will be positive and helpful, somebody that will, maybe offer good advice,
55:37
somebody that will never share their secrets and somebody that has you don't, you know, no self interest in the matter.
55:46
You could now provide that for, like,
55:49
I don't know, a dollar or something like that. Right? Like, the cost and the, the accessibility
55:55
of of curing, you know, sort of like loneliness or,
55:59
helping people talk through what's on their mind and get things off their chest.
56:03
That's gonna drop dramatically. So AI therapy slash ai companion and friend,
56:08
I think is a
56:11
mega mega idea. I think that is a
56:15
tens of billions of dollars worth idea. Now I think maybe there's there's gotta be a lot of competition. There's there's not clear, like, the network effects around that. But I do think that that is a a very, very big idea, and I think it's very impactful. So that's one startup idea. You wanna react to that, and I'll give you the next one.
56:30
Yeah. That's pretty plain and obvious to me. Like like that that's a pretty obvious straightforward solution.
56:36
That's obviously challenging to pull off, but like straightforward, and we could all predict that. So, yes, I agree.
56:43
The next one
56:45
is a little sexier.
56:46
This is called AI Spotify.
56:49
So what's AI Spotify? Okay. So traditionally,
56:53
the music business has been, like,
56:57
what's a situation where people just, like, run into, like, a burning building? People just make terrible decisions. It's like a horror movie when you're, like, don't go in there. And they're, like, But I heard a sound. I wanna just go check it out. You know, like, it's like, you're gonna get slaughtered. That's basically what the music business was.
57:12
You know, basically, you're competing.
57:14
It's like everybody loves music. So you are competing with a bunch of people who wanna, like, you know, make it better. It's like someone creating, like, a to do list app or something.
57:22
Yeah. Does that sound like Do you do you like pain? Because you're gonna get pain. Yeah. Exactly. Oh, you like music? I guess you like pain too. Because that's what you're gonna get. Music and pain.
57:32
So the second thing so, you know, unlikely you would even ever break out of the, like, thousands of people trying this If you did, guess what? Here's your prize, a lawsuit, your suit out of existence, whether you're a napster or, like, one of the many, many music companies that came in between. Okay. You survived the lawsuit. Your Pandora, your Spotify. You you didn't even get sued out of existence.
57:52
Congratulations. Here's shitty economics. Cause guess what? To deliver music, you have to have the rights of the record labels. They can always they own the pricing power.
58:00
And, that's why, you know, Spotify after, you know, like, building the best in class product, getting everybody to use it after fifteen years or whatever, like, does not have impressive economics. It does not does not spit off a bunch of cash the way Google or Facebook or other tech companies are able to. Okay. So why is AI Spotify different?
58:17
Now
58:18
Basically, you can
58:20
create a really cool music app that doesn't have to pay musicians a dollar.
58:25
Alright. Musicians everywhere are getting pissed, but, you know, here's here's the good news, you know, here's what the service would look like.
58:32
The same way interior AI was just, like, you you want an industrial look, you want a minimal look, you know, give me a starting image, and I'll I'll riff off that. You're gonna be able to do with AI Spotify is you pick, like, you could basically upload a playlist or you could just, like,
58:47
you know, like pick a song that you really like, like, Pandora tried. Yeah. It's just gonna be be Pandora radio, but they don't exist. But these these songs don't exist. So it's just gonna generate a new song
58:57
on the fly for you. And, like, TikTok's algorithm, it's gonna learn, like, when skip? Okay. That was not good. Where did they skip? Why did they skip? What songs get liked?
59:05
If you like this song, will you like this song? That sort of thing. So gonna generate an algorithm. The algorithm's gonna generate music on the fly for you.
59:12
And then you can add crypto to it where I would be able to say, I hear a good song, like, by default, all the songs are, like, they're here today gone tomorrow. They're like ephemeral. You don't get to hang on to them. But if you like the song, you're like, oh, I wanna keep this song. I wanna you you don't just get to keep it and save it. You get to own it. So you'll click mint
59:30
You'll mention NFT that now you own that song. Why? Because it was your tastes. It was your directing the engine. That's crazy. That created that song. Now you own that, and maybe it split royalties with all the artists that, like, inspired that music, or the algorithm just owns, you know, fifty percent and the user owns fifty percent. Did you just come up with that? Or or is someone working on this?
59:49
Off the dome, baby. Got that big brain. Got that big boy brain. No small boy stuff. Just great big boy ideas.
01:00:00
That's
01:00:01
this is wonderful. I think I yeah. This is finally when you web three nerds, I probably finally coming up with interesting shit. A used case.
01:00:12
No one believed in us.
01:00:16
A trillion dollars, and we've got it. We got it right now. It's an
01:00:21
absolutely big
01:00:24
but I do think this is a great Seriously.
01:00:26
Yeah.
01:00:27
Chooking with some elements. The,
01:00:32
But but I do think this idea is really great. I think that the I think -- I think it's great. -- somebody should make this. And it's it's not ready yet. So for example, what happened was with GPT three, somebody, you know, open AI, basically, like, downloaded all the text of the internet to create this text generation engine.
01:00:47
And then with Dali, they did the same thing. They downloaded all the images of the internet, to create this image generation engine.
01:00:53
And what these guys from the podcast thing or the speech stuff, they're downloading all of Joe rogan's back catalog,
01:00:58
to generate Jen rogan's voice as a as a voice engine. Somebody's about to do that for music. They're about to download all the music. They're about to go download all the music off Spotify
01:01:07
And then they're gonna train an engine to say, hey,
01:01:11
create new music. This is what music is. Create new music. That's what's gonna happen. And they're gonna release an open source model
01:01:18
that will say, would you like to generate music? Here's an API that will just let you generate music using this this engine that we've we've been training by downloading all the music that exists.
01:01:28
Wow.
01:01:29
Brilliant. Finally,
01:01:30
Finally, you Brilliant. Finally is the best backhanded
01:01:39
compliment.
01:01:40
Ever, dude? You did it.
01:01:43
And you repeat
01:01:45
the back of the comment.
01:01:46
But that is really
01:01:49
finally,
01:01:56
We're so stupid. It's like he was a butt head. Made a few bucks.
01:02:01
Yeah. You might have artificial intelligence, but we got that real stupidity over here.
01:02:10
This is so stupid. Alright. What's the third one?
01:02:13
I don't know. I lost my list. I I just clicked, but, Okay. Last thing I wanna leave everybody with is,
01:02:20
there's this guy who's I think the I think he should be the Billy of the week. A
01:02:30
million dollars isn't cool. You know what's cool? A billion dollar.
01:02:36
Imad Musakke. So e m a d is his name.
01:02:39
He's the guy who is behind
01:02:41
stable diffusion. So I don't do do you know what stable diffusion is?
01:02:45
No.
01:02:46
I know that the tweet that you just referenced was talking all about stable diffusion. So stable diffusion was basically,
01:02:52
the a com an open source competitor to Dali. So Open AI
01:02:57
created Dali. It took over. Everybody was excited about it. But, you know, you had to, like, you had to get permission to even use it. We were asking, hey, who can get us permission for GPT three? We wanna get access. Who can get us access to Dali? Oh, you have to pay for all these credits. Oh, you don't know x y z. So stable diffusion is basically a,
01:03:15
a like here.
01:03:17
Their tagline is great. Ai by the people for the people. Designing implement designing and implementing solutions using collective intelligence and augmented technology. They're just they're like the fubu of the AI world. You know what I'm saying?
01:03:34
Yeah. Anybody who does for us bias. Everybody who does for us bias, generally, they're full of shit, but this guy, I watched one interview with him.
01:03:42
And I could confidently say from the bottom of me heart, after this one interview I watched, this guy's the real deal Holy Field. So let me tell you about this guy. So
01:03:53
He,
01:03:54
gives all he's he's my ability of the week. He's not a billionaire yet, but this guy's gonna be a billionaire. He basically for stable diffusion, he put in six hundred thousand dollars, I think, to fund, like, the development of it. The company's worth, like, a billion dollars already. What was the wealth due from? So the guy he's born in Jordan. He's got like a British accent for some reason. He's like a math background, want type guy. You could just tell in, like, the first he has talked to him. It's like,
01:04:18
bet this guy could say more than five prime numbers. And it's like, yeah. Yeah. He definitely can.
01:04:23
So he works at a hedge fund. And he's like, I'm the guy at this hedge fund. I'm doing trading, and it's good. Like, I'm
01:04:30
it felt good to try to win that game, and I was winning that game. Okay. Good. So he does that. Then he has this life change. He has his first kid, and his son is diagnosed with autism.
01:04:41
So he
01:04:42
he decides to take a few years off don't know if because it was the autism or just because he had a had a kid, but he decides, okay, I'm not gonna do the hedge fund thing. I just kind of retired early after winning the hedge fund game.
01:04:52
Retires. And he's like, okay. Goes to the doctor, and he's like, what do I do about this? Like, you know, what can we do when it comes to autism? And he's like, well, there's no, like,
01:05:01
There's no solution. And he's like,
01:05:03
but I'm an engineer. Like,
01:05:05
I have a problem. That means there must be a solution. Like, And he's like, no, there's no solution. He's like, doesn't accept that response.
01:05:13
So he starts doing his own research.
01:05:16
And
01:05:17
basically ends up, like, I don't know, curing his son's autism or at least making it a lot lot better. So here's how he did it. He basically was like, alright. There's a lot of, like, literature out there, like, research papers. But if I try to read this one by one, it's gonna take me forever. So he creates an engine that just ingests all the papers and does a semantic search on it and basically creates, like, this machine learning thing to to learn, what is all the research about about autism telling us?
01:05:41
And, and by the way,
01:05:43
I didn't verify any of this. I don't know if any of this was real.
01:05:47
This sounds a little too good to be true.
01:05:49
But again,
01:05:51
Just judging the book by its cover, I think this guy put you. So I choose totally.
01:05:56
This is the biggest edge ever.
01:06:00
In the case, like, three weeks from now, this guy turns out to, like, you know, this guy pivots to selling his NFT collect and it's like, oh, wait. This guy changed his name and, like, used to launder money for a living. In case that comes out, let me just say, there's a chance.
01:06:15
Probably.
01:06:16
Probably. He's just a super nerd. He's amazing. Okay. Let me tell you why I think that's true.
01:06:21
Just because he's a brown guy with a British accent is what you're saying. You said just based off of what he looks like.
01:06:26
And the vocabulary is stunning. So
01:06:29
he's describing autism. He's like, you know, The way that he's like autism is is a is a sort of like, it's a it's a phenotype. It's like a, it's like a a behavioral description.
01:06:40
And it has the underlying causes, which is, like, you know, certain chemistry, body chemistry things. He's like, well, what causes those? And could we rebalance the body chemistry so that the the behavior changes?
01:06:50
And what he realized was that autism as a whole comes from many different types of these imbalances. And he's like, so he's like, their doctors are correct that we can't just, like, fix it or cure it because there's so it's a multimodal system. There's so many different,
01:07:05
like, inputs that create this output. He's like, but on an individual level, if you can understand where in one individual,
01:07:11
the body chemistry is maybe slightly different. Perhaps there is a that we could do or is a a a rebalancing that you could do of the body's biochemistry.
01:07:19
And so he starts to create, like, a,
01:07:23
a process for himself over a couple of years to try to help this. And he said in the state of reality, he's like, yeah, it's, you know, his my son is doing so much better and, like, You know, he didn't claim, like, oh, I've cured autism or anything like that, but he's like, I learned, you know, deeply, like, you know, what was what goes into these kind of, like, biological
01:07:41
systems and, like, what we can do, you know, how maybe science is gonna get better in the future using AI. So that's kinda where his AI itch cuts got started. You know, machine learning and AI is gonna be able to help these things. And so,
01:07:53
then in twenty twenty, he's at a dinner in Davos.
01:07:56
You know, as you do. As, yeah, as one does. Yeah. As British people with British accents and the future capillaries do.
01:08:04
I had dinner at Chick fil A last night. Okay. So anyways, he's this guy was at a dinner in Davos, and,
01:08:09
he's, he's he's, he's there, you know, and he's, people are talking about this virus coming out of China.
01:08:15
And he's like, that's the way they're describing this virus,
01:08:19
is COVID nineteen thing. And he looks into it. He's sounds very similar to autism where it say, he calls it a multi
01:08:26
multi stomach inflammatory disease. And he's basically his main thing was, like, This thing is complicated, and he's like, it was pretty clear right away that, developing a vaccine for this was gonna take some time. Like, we weren't gonna be able to do this in months. It was probably gonna take you know, you're you're more, try to figure this out.
01:08:42
And, and even if we did, it wouldn't work for everybody because again, this is, like, a multimodal system and, like, you know, these are, like, one size fits all solutions are not I'm not gonna work very well. And so he starts this live thing to try to help,
01:08:55
use data
01:08:56
to help, you know, policy makers for COVID, like, do a better job, blah blah blah.
01:09:01
Anyway, he goes through this process. The bureaucracy
01:09:04
of, like, this whole, like, you know, dealing with these world health organizations and UNESCO and World Bank and all the stuff. You know, it it ends up being too bureaucratic and he, like, you know, gets fed up with it just, like, sort of the whole initiative,
01:09:16
collapses.
01:09:17
And then he comes up with what he calls his Permethian mission,
01:09:21
the Permuteus, the the myth of the guy who, you know, sort of, like, gives fire to humans. And he's like, I wanna open source all of the powerful AI and ML tools that exist so that they're not controlled by large private corporations.
01:09:33
I like that.
01:09:35
And so that's why the the For us bias, baby. Like, open AI is called open AI, but it's a private organization. They're very, you know, close to the best about what they're working on. And then when they release it, they release it kind of like not to everybody all at once. And all that stuff. And if you look at the charts, like stable diffusion has, like, far surpassed open AI and the the the the the tweet that went viral on this was, like, you know,
01:09:57
open AI, meaning the actual open sourced AI is beating open AI. Right? So, oh, the the people who actually are taking an open approach are crushing now the company, the private organization. How does How how do they make money then?
01:10:11
I think it's the same sort of thing you, like, you know, you pay for some credits or slid along the way. Like, they open source the model.
01:10:16
But if you wanna run it, blah, blah, blah, blah, and who knows, maybe they're gonna have some, like, you know, open source companies have these, like, weird, weird models where it's, like, Linux, you know, Red Hat makes a bunch of money through services and things like that that are not, like, what you would expect.
01:10:30
So, you know, he he starts stable diffusion because his daughter asked him if he could do the same thing he did for, you know, COVID or whatever for art. Oh, by the way, in between, he wins this grant
01:10:40
that, or this, like, x prize. Like, I think,
01:10:43
Elon Musk, and somebody else put up this fifteen million dollar prize
01:10:48
for
01:10:49
who can what was it? So,
01:10:53
it was, like, who can basically create a system
01:10:57
that,
01:10:58
like, teaches kids in foreign countries, like, I don't know. I forgot what it was, like, English or mathematics
01:11:05
for less than, like, you know, seventy five dollars a total cost or something like that. And basically, they had created this thing on an iPad that you could just give to kids in, like, countries, and they would basically, like, be able to learn or pass certain tests within seventy five days or something like that. I don't know the exact specifics, but he wins this he wins this, like, fifteen million dollar
01:11:23
thing, again, doing good in the world. And so, so anyways he creates stable diffusion and,
01:11:30
or his company stability AI creates releases stable diffusion. It kinda takes off.
01:11:35
And he also has you know, well, you know what that thing, what what's it called? Like,
01:11:39
a fantasia,
01:11:41
where it's, like, you say a word and it creates an image in your head, something like that, or, like, or, like, emotions have colors or something like that. It's like -- Yeah. Yeah. -- it's like these senses are linked in your brain in a way that's not normal, or, like, numbers have smells, you know, the shit like that. He has one of those.
01:11:58
What has it been?
01:11:59
Synesthesia.
01:12:00
There's synesthesia, but he has a different one. He has another one, I think called hyphenasia.
01:12:06
Anyway, so he's like supporting researchers, and he's trying to give them money to, like, open source this thing. And then he's like, okay, I'm gonna bring together twenty of the best engineers like Manhattan Project style. And I'm gonna self fund this thing,
01:12:19
and I'm going to, like,
01:12:21
you know, we're gonna create, you know, a project in this space, and they create a stable diffusion.
01:12:25
And basically,
01:12:27
you know, he he's self funded six hundred thousand and I've got these twenty engineers come in, and they created this thing that's you know, taken off and now, you know, valued over a billion dollars. Dude isn't it crazy? Just how old some people are. Just like it
01:12:39
just
01:12:40
When I talked to Ryan Holiday the other day for the pot, I felt inspired at the end because I was like, your type of
01:12:48
success
01:12:50
is awesome and inspiring to me because I I too can work hard and like achieve what you achieve. And then I hear a story like this guy and I'm like, he
01:12:59
just like, that story just bitch slapped me in the face. You know what I mean? Like,
01:13:03
like,
01:13:05
like, I just I am I am nothing and I am nobody. And this guy is gonna steal my lunch money. That's what this that that idea just bullied me. No. He's not gonna steal your lunch buddy. He's gonna give you lunch money.
01:13:17
Why did you give why are you giving me lunch money? And he's just, like, don't even worry about it, son. And he's like, wow. Thanks. Dad?
01:13:26
Yeah. Like, the this guy He just straight story puts us. Yeah. I just feel inadequate.
01:13:32
Yeah. That's actually what really the week section is. It's really the inadequacy of the week. It's like yeah. It's like
01:13:40
They just said, I mean, are you ready to feel like shit?
01:13:44
Because I got a story for you. This guy who's yelling.
01:13:49
More than you, richer than you, did it faster than you, doing the same thing you said you wanted to do, but he actually did it. And guess what? He's also ripped. And you know, I like it.
01:14:01
That's what I feel about Ahmad.
01:14:03
Do you is there a world where he's full of shit?
01:14:06
Like I said,
01:14:08
I didn't know of this guy's existence to, like, three weeks ago. So, yeah, like, you know, there's there's definitely a world where everything I just said turns out to be, like, you know, not true or this guy turns out to be, you know, he's like, yeah, I taught those kids math, but then, you know, they work for me now. And it's like, whoa, whoa, what's going on here? Like,
01:14:26
Why are the kids who can't get working for you, bro?
01:14:29
There's, like, this commercial,
01:14:30
for a car commercial, and it there there's, like, they're on the highway and it's in
01:14:35
bumper to bumper traffic and Sky pulls off on the side of the road and starts going through this bumpy forest. And, the the guy in the passenger seat goes Dude, this is pretty scary. Have you ever, taken this shortcut before? And the guy driving goes, yeah, once,
01:14:47
including this time, that's, like,
01:14:50
you telling these stories. You're just like, yeah. Yeah. Yeah. Yeah. I know all about this guy. I just learned about him an hour ago.
01:14:57
Yeah. I'm literally reading it while I'm talking
01:15:00
I'm reading
01:15:02
my researchers' notes while we're talking.
01:15:04
Because I watched the interview, but I wasn't taking notes because I was driving at the time. And so all I remember is my feeling. Right? What's the Maya Angelo quote?
01:15:13
You won't remember the facts of what you're researching. You'll just remember how it made you feel what happened to me. You know, I don't remember any of the words this guy said, and I didn't go fact check them. But I remember how they'd be. Angela said that. Yes. They're famous quotes. Like, people won't remember what you say. They'll remember how you made them feel.
01:15:30
So it's basically that. I remember how this guy made me feel. And he made me feel the same way I felt when I heard vitalic talk for the first time about
01:15:39
Yeah. We get the knees.
01:15:41
You know, vitalic when I heard him talk. Zuckerberg, when you hear them talk, like, people who are extremely
01:15:47
mission driven,
01:15:49
while also being slightly asperger's
01:15:51
and also being extremely impressive in their past accomplishments. And they're just very matter of fact
01:15:57
about the way they think the world is going, and they're not trying to hype you up. They're not trying to sell you on it. So you asked them a question that gave you their answer.
01:16:05
And then you're like, that answer just broke your frame. And so you keep asking them questions. And then and there it's almost like the tone of their voice is sort of, like, I said what I said. I, you know, like,
01:16:15
yes. This is what I believe, and this is what I'm doing with my time. And, yes, like, you know, yeah, this is what I think is important.
01:16:22
And you're just like,
01:16:24
you know, you just sort of, like, you look stupid when you're talking to them because you just come from, like, you know, it's like you're speaking a different language. You know, they're speaking a language of, like, being mission driven and confident and, like, knowing their shit and you're just, like, you know, me, you know, just being silly old me trying to understand what the hell they're talking about. Dude, this is one of those episodes that we record, and I it's like I have to take a nap at the end. I'm so exhausted from excitement.
01:16:47
Do you ever get like that? You're like, you know, like, my dog, like, if I, like, feed him too many treats, like, in such a way where he, like, gets pumped up and hyper about it, he's gonna take a nap just from being excite it. That's how I feel. Like, I gotta go, like, rest my eyes. Like, I'm gonna go, like, I'm gonna go buy a dad chair just to take this nap that I need.
01:17:07
I need to be reclined at a thirty four degree angle.
01:17:10
Am I feeding you to be above my hips? Yeah.
01:17:13
Yeah. At the end of this episode, I'm gonna get up and make raunting noise just because just because
01:17:20
Not from pain. Yeah. Just just just out of habit.
01:17:25
This is, just so fascinating to me. I think
01:17:29
this episode
01:17:30
has had a lot of mind blowing things. I'm eager to see what people say. I think
01:17:34
that I feel just ant after I this is almost like a quit and dedicate your life to this topic, type of thing. You're like Almost.
01:17:45
Not actually good. Yeah. It's like it's like
01:17:48
it's like for people. It's like
01:17:51
with someone who has worked at your company forever, and it's their last day. You just you gotta go say goodbye and hug them, but they're like,
01:17:58
all the way across the room. You know what I mean?
01:18:05
Like
01:18:10
They're, like,
01:18:11
worked for you for, like, ten years. And you know their wife's name and their kid's name, and they're so excited. Give them a hug and tell them how much they mean to you. But
01:18:21
The couch is really comfortable. They're
01:18:25
just all the way across.
01:18:26
They're all the way across the it's gonna be at least fifty steps.
01:18:30
Ai is all the way across the room. That's so good.
01:18:34
Right to get all that. We're out of here.
00:00 01:18:54