0:00

In the entire history

0:02

of mankind, no technology

0:04

has seen faster adoption than

0:06

AI. Brands, governments,

0:09

entrepreneurs, individuals, they're all scrambling

0:12

to figure out this new world. One

0:14

person has been following it closely for some

0:16

time and his name is Matt Wolff. Today

0:19

we welcome Matt to the show to jump into

0:21

a future that might be the present

0:23

by the time you hear this episode of

0:26

the Bad Crypto Podcast, which happens to

0:28

be episode number 684.

0:29

Also, you

0:32

should know. 5, 4, 3, 2, 1, 0, Ignition.

0:41

Who's there? And

1:01

welcome

1:02

to the Bad Crypto Podcast, the show for the

1:04

crypto curious and the crypto serious. I

1:06

am back from an extended European

1:09

vacation. We had a couple best

1:11

of episodes in there, which we hope you enjoyed,

1:13

but this is fresh content now,

1:15

Sir Lord Travis. They say you need to make

1:17

more content. So like here's some effing

1:20

content. It's fresh. I just think

1:22

there should be a new show called Welcome to Content.

1:25

This is content. I

1:27

am content with that content. I'm really

1:30

content that we finally got Matt

1:32

Wolff

1:32

to join us. Now, you look, we have

1:34

this other show called the Bad AI

1:36

Show, but Matt is such

1:38

a leader in, is a journalist

1:40

in covering the AI space. And there's

1:43

definitely overlaps into crypto

1:45

and NFTs and blockchain that we really wanted to

1:47

bring it to you here on

1:50

this show. Smart dude, kind,

1:52

kind dude.

1:54

Very open. Like, very rarely

1:56

do you see or meet someone who you're

1:59

like, you know, normally. when somebody, they do something cool,

2:01

they figure it out. And I see this all the time, like on

2:03

Reddit or even on Twitter where somebody

2:05

creates something badass and,

2:07

but then they don't share how they did it. You know what

2:09

I mean? I'm like, dude, asshole. Like, why

2:11

don't you show it? Show us how you did it. Like,

2:14

dude, it's like, it's not rocket science.

2:16

We just want to know. Like, oh, I'm gonna tell you my secret

2:18

super props cause not doing it. Like,

2:20

dick. But Matt Wolf,

2:23

he's the exact opposite of that, dude. You messaged

2:25

him. You're like, hey bro. Like he didn't even know me from

2:27

Adam whenever I first messaged him months ago. I

2:29

was like, Hey bro, how did you did this thing?

2:31

It's so cool. How'd you do that? And he's like,

2:33

Oh, well you did like this and this. And I was like, what even gave

2:36

me a link to, Oh, here's a video tutorial on

2:38

how to do it. I was like, what do the dude's

2:40

so open and awesome and friendly that it was just

2:42

such a, such a joy to even interact

2:44

with the dude. And now we had him on the show. It was really

2:47

cool. You might say that he's so open that Matt Wolf is open

2:49

AI sort of

2:50

kind of in a way. So

2:53

you guys are going to want to stick around because after

2:55

the interview, we're going to tell you how you can get

2:58

Matt Wolf's inaugural bad

3:00

crypto NFT. I don't think he's minted an

3:02

NFT yet. And we've got one to

3:04

go along with this episode. It might

3:06

be the first Matt Wolf NFT ever. Is that what

3:08

you're saying? It might be. So we're going to tell

3:10

you how to get that on the other side of

3:13

this interview with Mr. Matt Wolf.

3:19

And

3:19

you're like, Hey guys, this is a bad crypto, right? What's

3:22

with the AI

3:25

stuff today? Well, you know that Trav

3:27

and I are on the cutting edge

3:30

of technology and we've got

3:32

our other show, the bad AI podcast,

3:34

but sometimes we feel like, Hey,

3:37

the content we've got is so spectacular.

3:39

We want to make it front and center to you

3:41

here in the Republic of bad Cryptopia.

3:44

And as we're talking about AI, we're

3:46

excited to welcome to the show today, Mr.

3:48

Matt Wolf, who has found

3:51

himself just because

3:53

of his fascination with the AI space

3:56

with quite a significant audience. He's

3:58

tracking the space on his. YouTube channel

4:01

at Matt Wolf and with his website

4:03

future tools.io. Matt,

4:06

welcome to the Bad Crypto podcast. Good,

4:09

sir. Yeah,

4:09

thanks for having me. Not every day I get to chat

4:12

with a sir and a lord. So I'm excited

4:14

to be here. How about a Sir Lord? Because we're

4:16

actually both.

4:17

Oh, sorry. Sorry. No, no

4:19

disrespect. Right, Matt Wolf. We

4:22

demand respect. You have not. You've

4:25

not used the proper pronouns or title.

4:30

Travis likes to be referred to as Sir Lord.

4:32

No, sorry, Sir Lord. Actually,

4:36

what's your whole title, Trav?

4:39

I don't even remember at this

4:41

point, but it is because

4:43

we've actually started out being certain

4:45

words because we got some land in Scotland.

4:47

Yeah, then then we see

4:50

land decided to night us. Yeah.

4:52

And so they knighted us. They made us so much. But

4:54

what was really funny with some dude, I was having a conversation

4:56

with

4:57

he's from England. He's like, Sir, no, it's impossible.

4:59

You can't be both. I was like, what do you mean can't

5:02

be both? Because one supersedes

5:04

the other one. It's like I'm a director, but I'm the

5:06

CEO also. Don't make sense, mate.

5:08

Like I'm a manager and I'm not the director. No,

5:11

you're one of the other. Well, no, wait a second. You

5:13

could be CEO and president. I'm CEO

5:15

and president of my company. So yeah,

5:18

but you can't be CEO and manager stuff

5:20

it British guy. That's

5:23

what I said. All I know is title

5:25

podcast here. Part of Travis's title

5:28

is is well earned. He is the most

5:30

high. So so, Matt,

5:33

there's some site. There's

5:36

some site called the United Church.

5:38

Something I don't even know. It's universal. Something

5:40

something I remember. You can get the most ridiculous

5:43

titles of all time. So I think, Matt,

5:45

you need to go get like the super a guy.

5:48

Yeah, I should. I'll look into that for sure.

5:50

Just ask that to write the most

5:52

ridiculous title you can.

5:55

So, you know, we found ourselves

5:57

in the crypto space back in 2000. and

6:01

decided to start a show because we were fascinated

6:03

with it. You found yourself in the AI

6:05

space. How did that come about? Cause

6:08

you were doing videos on technology

6:10

in general.

6:11

Yeah. So I started creating content in 2009, my

6:13

YouTube channel, I started in,

6:15

in Oh nine. Um, and it was all

6:18

just tech stuff. It was just anything I was interested

6:20

in for years and years and years. It was mostly about WordPress

6:22

and WordPress plugins and you know,

6:25

how to do Facebook ads and just

6:28

anything. Digital marketing was really

6:30

the, the, the place that I played

6:32

in. And then last year in 2022, I

6:34

started to get into crypto. I

6:37

started to get into NFTs. Those were the

6:39

rabbit holes. I started to travel down a little bit. Because

6:41

again, anything sort of tech, anything new,

6:43

anything sort of cutting edge is what

6:45

I was into. And then somewhere

6:48

around mid 2022, I really, really

6:51

started to go down the AI rabbit hole. Um, I

6:54

came across some videos of people that were sort of

6:56

changing their face and putting them on cartoons

6:59

and you know, face swapping.

7:01

And then I started to learn about chat GPT

7:03

when that came out. And so I just, it's

7:05

always been me making videos about the nerdy

7:08

tech latest thing that I'm

7:10

excited about.

7:11

But in mid 2022, when

7:13

the AI stuff started to pick

7:15

up in the mainstream,

7:17

I had already kind of put a few videos on my YouTube channel

7:19

about AI. People discovered them. One

7:21

of my videos ended up hitting 1.1 million

7:24

views because it was just right time, right place,

7:27

every, the stars aligned. And

7:29

one of my AI videos just sort of exploded

7:32

and I went, I should

7:33

kind of do more of this. And so ever

7:35

since then, I've just stuck on creating AI

7:37

content because that's what's continued to work. Honestly.

7:41

Yeah, I love that. And then, you know, through that discovery

7:44

of your content, you know, you go out and you

7:46

see the things that you've been putting together around

7:48

future tools,

7:49

which I was thinking about this. I just like, Oh

7:51

man, like these. And then

7:54

I saw what you were doing. I was like, yeah, great. I don't need to do that.

7:56

Okay. Perfect. Because here it is. I

7:58

know there's no need for me to try.

7:59

to recreate any wheel. And

8:02

this platform right here, so this is where I think

8:04

a lot of folks are going to get some value,

8:07

not only from your expertise and exploring

8:10

this stuff, but what you've compiled here,

8:12

I think, is really fun. Because if

8:14

any time you're bored, you're like, I got nothing to

8:16

do. I'm just going to waste some time. No, go on

8:19

future tools and start playing around with some stuff.

8:21

You're going to find some really cool tools. I think

8:23

there was maybe 300-something

8:26

tools there when I first saw it. And now what are you up to?

8:28

1,700-something.

8:29

We're in

8:31

time, bro. It's crazy.

8:34

So this site actually started because

8:36

I just,

8:37

as I was coming across cool tools, I was

8:39

just tossing them into a Google Sheet. I literally

8:41

had a Google Sheet on my computer.

8:43

It was bookmarked. And whenever I come across a cool

8:46

AI tool, I would just toss it in there. So

8:48

originally, I had Mid-Journey, and I had GPT-3

8:51

in there. And I had Stable Diffusion

8:53

and a few Google collabs that I came across

8:55

that I thought were cool. But

8:57

the spreadsheet, as AI started to pick

8:59

up Steam, I was adding so much stuff

9:01

to the spreadsheet that it was getting hard to find anything

9:03

in the spreadsheet. So I actually made this

9:06

website with a

9:08

site called Webflow because it had

9:10

filters and sorting. And so I

9:13

literally built this site for myself so that I could

9:15

filter down to the exact tool that I was looking

9:17

for.

9:18

And I didn't have to hunt a spreadsheet

9:20

that I made. That's how this started.

9:23

I took this site.

9:24

I gave the URL

9:26

on Twitter. I went, hey, this is something I've been working on. It's

9:28

just something I've been screwed around playing with. And

9:31

Twitter just exploded it for me. Robert

9:34

Scoble took it. He retweeted it. A bunch of

9:36

other people in the AI space started retweeting it.

9:38

Next thing I know, my tweet about this little

9:40

tool that I made in like five hours

9:43

had been spread across Twitter and seen

9:45

by hundreds of thousands of people.

9:48

So that's kind of how that started.

9:50

But to answer the question of where I'm finding

9:52

all these tools, I mean, it's

9:54

just pure immersion, right? I'm sort

9:56

of on all the AI newsletters.

9:59

I'm on Twitter. all the time seeing all this

10:01

stuff. I'm, uh, I, there's

10:03

a submission form now. So I get about 50 different, 50

10:06

to a hundred submissions every single day,

10:08

depending on, you

10:09

know, how wild things are moving in the AI

10:12

space. So it's, it's just a combination

10:14

of just total immersion and people submitting

10:16

stuff to me like crazy.

10:18

You know, that's funny. It's, uh, that's kind of the

10:20

Yahoo story. You know, when, uh, when

10:22

David Filo and Jerry Yang started,

10:24

um, Yahoo was because they

10:26

needed a directory for their

10:29

friends to be able to, uh, look

10:31

at all the sites they were compiling. And, uh,

10:33

you get bonus points, Matt, if you know

10:35

what Yahoo was an acronym for.

10:38

I don't, I

10:40

got it. I think

10:42

I'm close. Okay. Yet another hierarchical

10:46

something

10:47

close. Yeah. Yet another hierarchically

10:50

organized Oracle is, uh,

10:52

is Yahoo. So, uh, you

10:55

have learned well, grasshopper. So

10:57

in the early days, I was a web crawler guy. So

10:59

yeah. So,

11:01

you know, chat GPT has been

11:04

amazing to watch what's happened with AI

11:06

chat. GPT hit a million

11:08

users in five days.

11:11

Like nothing has ever crossed

11:14

that million market took like, how long

11:16

did it take Instagram to do

11:18

it? Like months, 10

11:21

months or something like that. To

11:23

get there, Spotify hit 1

11:25

million in, in five months.

11:28

It took Netflix three and a half years

11:30

to hit 1 million. And I've got

11:32

a link to an article in the show notes that you guys can check

11:35

out about this. What is, what do you

11:37

think this means to society in general

11:39

that AI has

11:41

found adoptions so

11:44

quickly?

11:45

I mean, I think honestly, I think it's making

11:47

a lot of lives easier. I, I, I constantly

11:50

in the mix of it, right. And I hear all these

11:52

stories of like doom and gloom and everybody

11:54

worried about it, taking their jobs and all of that

11:57

kind of stuff. And I do think to

11:59

like.

11:59

it is gonna make some jobs obsolete, but I don't

12:02

necessarily think that's a bad thing. I think it's gonna make

12:04

all the jobs that nobody wants to do obsolete.

12:07

But I think it's going to make a lot

12:09

of jobs easier. Some of the

12:12

biggest complaints I've seen about AI have

12:14

come from the artist community

12:16

and the game developer community and

12:19

some of these communities that have always been

12:22

sort of like high skill communities,

12:24

but also the biggest praise that I've seen

12:26

coming about from AI has come

12:29

from the people that are the artists

12:31

and the artist community and the people that are the game

12:33

developers, right? The people that are

12:35

sort of embracing it and learning how to use AI

12:38

to sort of give them these extra superpowers

12:40

are the ones that are really, really thriving

12:43

from it.

12:44

You know, I know a lot of AI

12:46

artists or a lot of artists that started to implement

12:48

AI into their art and those specific

12:51

artists are the ones that are exploding on Twitter

12:53

right now. They're exploding on YouTube right now. They're exploding

12:55

on Instagram right now.

12:56

A lot of the game developers

12:58

that are starting to implement it are

13:01

some of the most anticipated games. I

13:03

just heard that Grand Theft Auto 6, they're

13:05

taking, they had like the police

13:08

officers, originally they built their own like AI

13:10

for these police officers.

13:12

And they decided after seeing the event

13:14

that Jensen Huang spoke at not

13:17

too long ago in Taiwan,

13:18

where he showed off this

13:20

sort of this character that the

13:22

dialogue would be unique every single time you talk

13:24

to him because it's using AI behind the scenes.

13:26

Well, Grand Theft Auto 6 went and decided,

13:29

we're gonna scrap our AI system and just

13:31

implement that. So now when you go and talk to a police officer

13:34

in GTA 6,

13:35

it's going to be a completely unique

13:37

conversation. Nobody's gonna have the same experience

13:40

ever when playing Grand Theft Auto 6 because the

13:42

conversations are gonna be generated on the fly.

13:45

I can't wait. That's gonna be amazing.

13:48

It's exciting. And I actually, I interviewed

13:50

the founder of the tool that built that convey

13:53

and he gave me a walkthrough of it. And

13:55

I actually have an early, early demo of

13:57

the software on my computer and I've played around with

13:59

it.

13:59

it a little bit. And it's just it's

14:02

it's always knowing what's coming with it. So

14:05

I

14:06

tend to take the more optimistic,

14:08

abundant philosophy on

14:10

it that I think this is a good thing for society.

14:13

I think a lot of bad actors will use it. Don't

14:15

get me wrong. I think we will see a

14:17

lot of scams and spammers

14:19

and more of those stories

14:22

where people are spoofing other people's voices

14:24

and calling loved ones and family members

14:26

to try to get money out of them.

14:28

I think we're only gonna hear more and more of those stories.

14:30

But from a like a business standpoint,

14:32

I think it's a it's a overall

14:35

plus, honestly. It's

14:37

really that's really fascinating to kind of think about that with

14:39

with the police actually. They're

14:41

no longer really NPCs, they're NPC

14:44

GPTs. And you can interact with

14:46

them. But what everyone wants to know is

14:48

like,

14:49

are you going to be able to communicate with the hookers? Because

14:52

that's what

14:55

everyone truly wants to know. I mean, it's

14:57

so crazy. And I want to touch based on something you said earlier,

15:00

it seems to me like AI

15:02

can augment us in a way to sort

15:04

it's almost like having the best

15:06

brainstorm buddy of all time or

15:08

best super assistant because it's like,

15:11

I think faster than I can

15:13

do. And then it's like, oh, I got to do this step

15:15

here. And then I got to do that. And then by the time I get

15:17

to that next step, I'm like, man, I'm done.

15:20

But

15:21

with this, it's like, yeah,

15:23

I do this, boom, it's done. Wow. Now

15:25

I go to the next step. It's like having it's like,

15:28

it's like I've never felt more creative

15:31

now than I am and more organized

15:34

because I can take these learnings, these things

15:36

that I've built these ideas, churn

15:38

them out in a way that you could never

15:40

do. And previously, yeah, 100%.

15:43

I've me personally, I've never felt like I've

15:45

had skill in things like art.

15:47

But now I can go into mid journey

15:50

and people are blown away by the stuff that I create,

15:52

right? I make really sort of unique thumbnails

15:55

for my YouTube channel that you know, thumbnails are

15:57

freaking badass. I've been sitting over like

15:59

how How in the hell is this dude doing? And then

16:02

because I could never get the face right. And

16:04

I assume you're doing that in stable diffusion, right?

16:06

Yep. Yep. Stable diffusion

16:09

is, so there's a tool called dream booth where you can train your face into

16:11

dream booth and then use stable diffusion and replace

16:13

other people's faces with your face. And

16:16

so I've actually made tutorials on exactly

16:18

how I do that, but I've never

16:20

had that sort of artistic skill and

16:23

using AI, it's enabled me to do stuff

16:25

that I never thought I would have the skill

16:27

to do. I built a video game.

16:29

I have a video game that I created. It's like a

16:31

platformer game where you jump from platform to platform

16:34

and there's lava below and you're collecting, you

16:36

try to collect as many coins as you can without

16:38

falling in the lava. And I've

16:40

never coded in my life and I, and I

16:42

have a whole game with

16:44

pretty decent graphics that all

16:46

coded. You can get online, you can play

16:48

it right now. I put it on, I made it available

16:50

for anybody to play. I put the code on GitHub

16:53

and after I put the code on GitHub, it

16:55

started getting forked and people started making alternate

16:58

versions of this game. And to

17:00

this day, I don't know how to code. Like I have no

17:02

idea how the thing's running behind the scenes. This

17:05

is why, you know, learn to code is no longer

17:07

a mantra to speak to people who

17:09

lost their job flipping burgers or baristaing

17:12

at Starbucks. It's got to be learned to prompt because

17:14

the people that are going to

17:16

make money. Now while you were doing that, I

17:18

went to church. Let me add to that, Joe.

17:22

That might not even be the case because when

17:24

some of these super prompt generators, like I

17:26

watched this one video that Matt had done of like, here's

17:28

how to create the best

17:30

prompt. So you can think you're going to say a good little prompt,

17:32

but you can use chat GPT to create

17:34

so much better props. It's unbelievable. So

17:37

maybe it's a learn to sit back and let

17:39

the bots do everything for you. You know,

17:42

take, take your, your government check, shut

17:44

up and eat bugs and like

17:46

it. I don't know. I went to chat GPT

17:49

and I told it to write a pompous title for

17:52

Matt Wolf, a YouTuber who creates content

17:55

and technology and AI space. And this

17:57

is what it came up with. The Supreme technological.

18:00

Oracle, Matt Wolf, the unrivaled guru

18:02

of AI Marvel's guardian of the digital

18:04

frontier and commander of the techno

18:07

savvy realm.

18:08

Yeah, I think I'm going to rebrand my YouTube channel. Actually,

18:11

there's actually a whole bunch of those. So

18:16

as we're looking at future

18:18

tools, let's just pick out

18:20

a few things that we can look at

18:22

that's really caught your attention lately.

18:25

And I want to let's show off something

18:28

without me ever having seen this tool

18:30

before. What what should we look at?

18:33

Let's see. So if

18:35

you click on any one of those buttons there,

18:37

it'll filter it down by that style.

18:39

I think some of the most impressive stuff on

18:42

here

18:42

is some of the generative video stuff

18:45

that you can just type prompts and it'll generate video.

18:48

There's some really, really killer text to speech

18:51

stuff. Now I don't know if you guys have played around with 11 Labs

18:53

at all.

18:56

11 Labs is pretty mind blowing. You can

18:58

train your own voice into it. You can train anybody's voice

19:00

into it.

19:01

You know, there's there's obviously

19:03

some ethical issues that can arise

19:06

from that. But I did make a video where I trained

19:08

Owen Wilson's voice in there and made a sort

19:10

of mock Wes Anderson film.

19:13

That one's pretty mind blowing.

19:15

But which which is is is model,

19:17

for example, I'm looking at model scope text to

19:19

video. What is that? Does that work pretty good? If I

19:22

like just type in text, it'll make a video for

19:24

me of that. That one will work decently.

19:26

I don't know how fast it is. A lot

19:28

of the text to video generation is still fairly

19:31

slow. But model scope

19:33

text to video, if you're familiar

19:35

with Gen 2 from Runway

19:37

ML, that's also a text to

19:40

video tool.

19:41

Basically, video. You

19:44

were snapping the other day. I just watched that last

19:46

night. That's it. Yeah, thanks. Yeah, that was done with

19:48

actually Gen 1, which is a video

19:50

to video. So Gen 1 is video

19:53

to video. You upload a video, you give it a prompt

19:55

and it will change the video to look like

19:57

the prompt you give it.

19:58

Gen 2 is pure text.

19:59

video. You type whatever you want, it'll

20:02

generate a video based on that text

20:04

prompt. But what

20:06

that model scope is that you were just looking at, it's

20:08

similar to what Gen 2 does,

20:11

where you can type any text prompt and it'll make

20:13

a video. The problem with most text to video

20:15

right now is it only generates between

20:17

three and four second videos. So the video

20:19

is almost

20:20

too short to even get excited

20:22

about what you're seeing because it's usually just like

20:25

a little blip on the screen real quick

20:27

of whatever you generated.

20:29

And also that model scope, all of the data

20:31

that's in there was trained on

20:33

Shutterstock data. So all of it has

20:35

a Shutterstock watermark across it.

20:38

Yeah, I got a question for you around this because I saw

20:40

your summary of the Apple

20:43

event, right? Yeah. And we were

20:46

all watching that. I know Joel and I have been talking about

20:48

this for years. I was like, dude,

20:50

when Apple comes out with an AR

20:53

device, this is going to change the game.

20:55

Now I really wasn't expecting ski goggles

20:58

because you can't really walk around in ski goggles

21:00

and look cool. I was kind

21:02

of expecting it when the form factor gets a

21:04

little bit smaller so we can actually

21:07

look through them and you got lenses and your lenses

21:09

can do stuff. I think that this

21:12

seems really ridiculous. And one of the things I

21:14

was talking to Joel about was how cool

21:16

will it be when we are able

21:18

to use generative AI to

21:20

command exactly the environment

21:23

we want to be sitting in right now.

21:26

It seems to me that games are on the

21:28

precipice of changing in a way that

21:30

most people could never even comprehend

21:33

when you can say, I want to sit in a beautiful

21:35

field in Switzerland.

21:38

I want to see the Alps in the background and

21:40

I wanted there to be a big lake right here

21:42

in a river and give me a palm

21:44

tree for no reason. And like, you're going to be able

21:46

to sit in these worlds

21:47

that you just concocted. Dude,

21:49

it makes me think, bro, it really makes

21:51

me think that we probably are living in some

21:53

sort of simulation where

21:56

we are this by synthetic bio

21:58

algorithm of some sort.

21:59

to some advanced O.J. because we

22:02

can create stuff like this now, dude,

22:04

and like, yeah, we've only been in the Industrial

22:06

Revolution for 250 years. Like,

22:09

what?

22:10

Yeah, it's getting crazy. In fact, when

22:12

you just said that, it reminded me of another tool that I don't know

22:14

if you guys have tried. Have you have you seen blockade

22:17

labs yet? What's the word? Blockade

22:19

Labs is a text to 3D

22:21

environment.

22:22

So you prompt anything you want. So

22:24

what you were just saying, you want to be in a field with

22:26

trees and flowers or whatever. You

22:29

prompt it. It will prompt a 360 degree

22:31

thing that you can actually like move around and look around

22:34

in and it's free. Like you can get on with

22:36

like you can get in there and look at it.

22:38

Yeah, you can export it and pull it into

22:41

a Google into a meta quest if you wanted to.

22:43

Yeah. Yeah, you

22:45

can import it into Unreal Engine, use it as your

22:47

3D environment in a video game. Yeah,

22:51

it works really, really good. You can type any prompt

22:53

you want and it will just generate that landscape.

22:56

Oh, my. Trav, give me a let's dream

22:58

up something right now. Give me a world. I'll type it in. OK,

23:01

so we want an island world. Yeah.

23:05

Can

23:05

you can you put creatures inside of it or

23:07

is it just only the environment? You can try. I

23:09

don't know how well it's going to generate the creatures because it's

23:11

more meant to be the sort of scenery that

23:13

you then. OK.

23:14

Put 3D objects into.

23:17

OK, maybe let's do like a pirate scene or

23:19

some sort of like an island pirate treasure,

23:21

huh? I just did. I just did an island

23:23

in space. I just let's see.

23:25

It was Space Island. Yeah, Space Islands

23:28

sound really cool. And just check him back here. It's

23:31

I queued up here in model scope, a cute

23:33

Yorkie poo playing in the grass

23:35

and I'm number four in the queue. So I'm going to keep

23:37

my eye on that. Is that where Rufus is?

23:39

Is he is he a Yorkie? Yeah, he's a Yorkie poo. Yeah,

23:43

we when we rescued Rufus,

23:45

we thought he was a what

23:48

do you call the schnauzer? And there's no schnut

23:50

in him at all. OK, there it is. There is our island

23:53

in space

23:54

that it just created for.

23:56

Yeah, there's a little dropdown right next to the generate

23:58

button to where you could sort of.

23:59

change up the style of what you're going for

24:02

as well. Oh, so if I want to make it a manga,

24:04

I can do that. I can change it to dreamlike

24:08

cyberpunk sci-fi fantasy

24:10

lands. Let's do anime art style.

24:12

And now we'll just take it out. It's already there. We just

24:14

don't have it where it's instantaneous, where we can

24:17

see it. But I mean, with that new Apple,

24:19

you know what I like to call the eyesight

24:22

pro.

24:22

I should have called it. They totally missed

24:25

it. It could have been eyesight and

24:27

that'd have been perfect.

24:28

But this thing is looks phenomenal.

24:30

Like this has nothing to do with crypto at all.

24:33

But I mean, just the new era of spatial

24:35

computing and some of the things that's going

24:37

on in this space, even with like what versus

24:39

is doing and versus.ai

24:42

and how they're kind of putting everything

24:44

in its own little operating system and everything

24:46

has its own object, has its own thing,

24:49

like we are entering into such a unique

24:51

phase in humanity that's like unlike

24:54

anything that

24:55

you can compare it to, I think. Yeah,

24:58

absolutely. I don't think anybody

25:00

that, you know, claims they know where this is all

25:03

going actually knows where it's all going, because

25:05

so far it's like people say, hey, we're

25:07

going to see this in two years. And then two

25:09

months later, we see the thing that they were predicting.

25:12

Everything just seems to be accelerating. And

25:14

the pace at which all of this is happening is just

25:17

blowing my mind. Honestly, it's

25:19

like some of this text of video stuff.

25:21

I didn't think we would see it nearly as quick

25:23

as we're seeing it. There

25:25

you go. There's the two second

25:27

video of a Yorkie poo looks more like a Yorkie

25:30

with one eye. Less

25:32

like a poo. I don't see any poo

25:34

there, but he's he's in the grass and

25:36

this is all just AI generated

25:39

that dog doesn't exist. There

25:42

he is. Are you familiar? Have

25:44

we talked all offline about versus

25:46

yet, Matt?

25:47

I've I've heard of versus. I don't know a whole lot

25:49

about it, honestly.

25:51

So I had an opportunity

25:53

to speak with Dan Mapes, who wrote the book on

25:55

it. And has been working on this technology

25:57

and waiting for the right time for well

25:59

over decade. This is the next evolution

26:02

of the web and the standards

26:04

border. Was it the IEE something

26:06

or other that decides what the web protocols

26:09

are going to be that are uniform? They've

26:11

already given the thumbs up on this. This

26:13

is going to be rolling out and

26:15

it is what they call the spatial

26:18

web and I would encourage you and

26:21

anybody who's interested in where the internet

26:23

is going to go to versus.ai and

26:26

read about this. They actually just

26:28

released a

26:29

major industry report

26:32

that solves the global

26:35

AI governance problem

26:37

due to how this their

26:40

open platform decentralizes

26:43

and democratizes everything and

26:46

you can actually go to the website versus

26:48

AI look for this press release that was done

26:50

with Denton's US. Denton's

26:53

is the world's largest law

26:55

firm I believe that deals with technology

26:59

and so it's kind of a big deal and

27:01

I think that you know we keep an eye on that

27:03

we might be ahead of the curve on what's coming next.

27:06

Yeah so is spatial web the sort of rebranding

27:09

of the word metaverse? Spatial

27:11

web is yeah yeah

27:13

it really

27:15

is the spatial web is you know we've been

27:17

talking about the Internet of Things and what that's going

27:19

to be like with everything being interconnected

27:22

for years but you know devices don't

27:24

necessarily talk to one another if you're in

27:26

the you know like the Philips ecosystem

27:28

you can control your all your home devices

27:30

from one app but that doesn't necessarily

27:33

talk to the LG stuff and

27:35

the spatial web is going to give ID

27:37

to everything where it becomes completely

27:39

interoperable and yet

27:41

democratized and private and I wish I could

27:43

say I fully understand it we're gonna have Dan

27:46

Mapes on a future episode of bad

27:48

crypto to talk about this because it's

27:50

mind-blowing stuff.

27:52

Yeah yeah because I kind of feel like you know

27:54

metaverse was the big term of 2022 but

27:56

then I feel like Facebook kind of killed it you know

27:59

Facebook turned it into like a term

28:01

your grandpa uses kind of thing and now nobody

28:03

wants to say metaverse. I just went to the augmented

28:06

world expo a couple weeks ago

28:08

in Santa Clara

28:10

and the entire time nobody

28:12

mentioned the word metaverse once and the

28:14

whole thing was about AR and VR

28:17

and mixed reality and the word metaverse

28:19

wasn't brought up once except

28:21

for ironically right like nobody

28:24

was using that term anymore in that space

28:27

at all

28:27

and I think a lot of that has to do with with

28:30

Facebook's rebrand and then nobody wanting

28:33

to use that term anymore but

28:35

yeah I still think that there's a metaverse

28:38

coming I just don't think it's what a

28:40

lot of people thought the metaverse was going to be a couple

28:43

years ago I think it's less

28:45

of the ready player one

28:47

where everybody is sort of all

28:49

grouped together and you can bump into random people

28:51

anywhere at any time and

28:53

because that to me

28:55

it feels kind of awkward right I have a meta quest

28:58

I've gotten into the meta horizon thing I've

29:00

played these video games and I wander

29:03

around and bump into random people and

29:05

to me that it's awkward it just it feels

29:07

uncomfortable to be like running into random

29:09

people all over the place I think what

29:11

Apple's version of it is

29:14

it's more you're the metaverse

29:16

is you sort of joining your family members

29:18

joining your friends I can have somebody

29:21

sitting across from me in the room that lives

29:23

in New Zealand that lives in Puerto Rico that

29:25

lives you know wherever but we feel like

29:27

we're in the same room having a conversation or you

29:30

know playing you know cards

29:32

against humanity against each other in virtual reality

29:35

I think

29:35

that's more where the metaverse is going to go and I

29:37

think it's also more what like the

29:40

general population would want from a metaverse

29:42

but I don't know you guys have been in that world

29:45

deeper than I have so you probably have

29:47

opinions on it

29:48

well even when you look at it you know and you think about oh

29:50

the metaverse is so huge and then you're like wait

29:52

a second I read that Decentraland

29:54

has like on average 38 active daily

29:58

active users or some crazy like

29:59

So it's like it's almost like it

30:02

was kind of forced upon us. It seemed

30:04

like it's like no We're gonna look you're gonna

30:06

love the metaverse here it is And

30:08

uh and so I think as a by proxy it

30:10

kind of damaged the term web 3 and

30:13

it's like as web 3 is really It's like here is

30:15

this new tech. We're kind of really in web 2.5

30:18

right now. It's not Maybe

30:21

that new web 3 is this sort of spatial Technology

30:24

land what what is that term Joel? I was looking

30:27

for it I can't find it, but it's like it's not AI

30:29

they have another term.

30:31

That's AI.

30:32

That's like, but it's it's similar to Artificial

30:35

intelligence, but it's some other term I can't I was looking

30:38

for I can't find it because it's a really interesting

30:40

way to sort Of look at sort

30:42

of it's not augmented. It's something

30:44

else. I don't know Did you ask chat GPT

30:46

because

30:47

they might know I did not I

30:49

did not ask that but I probably should I was literally searching

30:52

I saw it on versus calm before

30:54

but then if they've changed their website, so I don't see

30:56

that

30:56

term They were saying before but anyways

30:59

It is it is really fascinating this

31:01

this world and where we're headed in this sort

31:03

of merger of all of these things Into

31:07

one and I think you do such a great job

31:09

of just like because it's like you you you're

31:11

kind of like us But we've always said with crypto. We're

31:13

not experts

31:14

We are gonna explore this stuff

31:16

and then teach you along the way And I

31:19

think you've done a really great job of

31:21

capturing the soul and spirit of this

31:24

all and you're like, I'm not an expert I'm

31:26

not gonna create a course

31:28

I'm just gonna show you and what I love

31:30

about what you do dude Is that most people

31:32

don't open up the kimono like

31:35

you do and say oh, here's exactly

31:37

how I'd like I asked you on Twitter one day. I said, hey,

31:39

dude, I suck at OBS How do

31:42

I make myself in a circle and you're like, oh you

31:44

need to do that to do? Thanks,

31:46

bro, and now I figured out how to make myself in

31:48

a little hexagon and I'm getting better at OBS

31:51

I Appreciate you're so open

31:53

man. And not a lot of people are

31:55

Yeah, I mean I try to be I I've

31:57

never I mean it probably partially in

31:59

imposter syndrome, but I've never really felt

32:02

like an expert in any of the

32:04

stuff I do. I feel like I'm just kind of learning it

32:06

with everybody else. You know, I'm not, I'm

32:08

not a machine learning engineer. I'm not

32:10

somebody who has built any of this AI

32:12

stuff myself. I'm not a coder. I'm not, you

32:15

know, I've gotten better at crafting

32:17

prompts in chat GPT, but,

32:20

um, you know, I don't know how a

32:22

lot of this stuff runs behind the scenes. I'll do interviews

32:24

with people who are developing these models and

32:27

half the conversation is over my head. I'll go and

32:29

listen to the interview back

32:29

and type into chat GPT. What

32:32

does this mean after I did the interview? Because

32:34

half the words they use, I don't know. That's the story

32:36

of our lives and you're not an imposter

32:39

at all. I mean, you, you're fascinated with the

32:41

space, you're covering it and people depend

32:43

upon real people that are engaged.

32:45

That's one of the reasons that bad crypto took off

32:47

is we didn't come in and say, Hey, we're experts.

32:50

We're pointy heads. We get this. We're

32:53

curious. Are you curious? Are you crypto

32:55

curious? Come with us and let's, let's discover together.

32:57

And that's real because the, the world

32:59

needs ombudsman, right? It needs shepherds.

33:02

Uh, we're, we're the Sherpa derpas. You know, we,

33:04

we love bringing people on

33:06

the journey and introducing

33:09

them to this. So you, you told

33:11

me before we started, um, the

33:13

interview that you dabbled with NFTs

33:16

a little bit. Yeah. I'm

33:18

going too deep into it, but I'm curious. What did you dabble in?

33:20

What did you, what caught your attention?

33:23

So most of what caught my attention. So I'm, I've

33:25

always been a gamer and what caught my attention

33:27

was most of the metaverse gaming NFT

33:30

stuff.

33:31

There was a wave there where

33:33

I was really, really into, uh, Solana

33:35

NFTs. I thought a lot of the gaming

33:37

world was going to be Solana. Um,

33:40

you know, I liked the transaction fees. I

33:42

liked the experience of using Phantom.

33:45

Um, you know, there was some

33:47

issues with Solana. I don't even remember the whole story,

33:49

but didn't they have something to do

33:51

with, um, FTX,

33:54

FTX. Yeah. So they were involved with FTX

33:56

and that sort of, uh, hurts Solana quite

33:58

a bit, but I was.

33:59

I was really into the gaming space.

34:02

There was a game that was coming out called

34:04

Synergy Lands that I was an investor

34:07

in.

34:08

There was, you know, I was playing

34:10

with Alluvium and Star Atlas and

34:14

Phantom Galaxies. And there's a lot

34:16

of games coming out that really

34:19

got me excited that that was more

34:21

the world that I played in. I had some NFTs

34:23

that,

34:24

you know, have some utility. I think actually one of the

34:26

first NFTs I had was the Blockchain Heroes NFTs

34:29

that Joel sent me. No way. Cole

34:31

host Joe, that was one of our first entries

34:33

into the NFT world. And I still hold all

34:36

of those as well. So I still have those.

34:38

There's Joe and I back there. There is

34:40

a little NFT where I was fighting, soot and

34:42

say, here we are. Yeah, yeah. So

34:44

I've got those NFTs. Which I'll release

34:46

this little tidbit for the first time to

34:49

those who are paying attention. There may be a Blockchain

34:51

Heroes game on the way. Anyhow,

34:54

that's

34:55

all I'll say about it. By the way, by the way, I realize

34:58

what the term is. It's active inference.

35:00

So it's like artificial intelligence versus

35:03

active inference. And I did use chat GPT

35:05

and it says active inference is a

35:07

theoretical framework that is used in

35:09

the fields of neuroscience, cognitive

35:11

science and AI. It is based

35:13

on the premise that living organisms, including

35:15

humans and by extensions AI systems act

35:18

to minimize the difference between their expectations

35:20

and sensory input.

35:22

In other words, they act to reduce the uncertainty

35:24

about their environment based on their internal model

35:26

of the world. So it's like, that's kind

35:29

of what versus is, is it's using active

35:31

inference where it's that framework for things

35:33

versus just artificial intelligence,

35:35

which can be all these large language models or any

35:38

of these other things that's doing it. It's sort of the framework

35:40

behind it all, which is one of the terms that

35:42

they use, but I couldn't find it on their website.

35:44

And it's still AI. It's an acronym. So yeah,

35:47

that's it. You can still say AI and be like, no, I

35:49

didn't mean artificial intelligence. I mean, active inference.

35:51

Matt, if you want to use this

35:53

one, instead you can the astounding

35:56

cyberspace savant prodigy of

35:58

technological exploits. virtuoso

36:01

of AIs, delights and grand pooba

36:03

of digital discovery. Yeah,

36:06

that one's got a better ring to it. I think I like that one better. Grand

36:08

Poob AI. It rolls off the tongue better.

36:13

So do you, are you like us,

36:15

do you just kind of roll with it and whatever happens,

36:17

whatever opportunities open up, you explore,

36:19

or do you have like a master plan for

36:21

what you want to do and where you're going?

36:24

I would say it's sort of somewhere in between,

36:26

right? I, I, I sort of roll with it on a

36:28

daily basis. As far as like longer

36:31

term, I kind of know where I want to end

36:33

up.

36:34

Um, you know, future tools, it is,

36:36

it

36:36

is something that in the future I see probably

36:39

exiting when I built it. I didn't write. It was just

36:41

a sort of weekend project, but I've

36:43

actually already had people reach out, ask if

36:45

I'd be interested in selling it. So now it's

36:48

sort of is in the back of my mind that maybe I'll,

36:50

you know, two years from now that will be

36:53

sort of my retirement if I do decide to sell

36:55

it.

36:55

Um,

36:56

but you know, I really, I love

36:59

just creating content, right? I love finding

37:02

new, I I'm a gadget guy. I buy

37:04

every gadget that comes out. I've got drones,

37:06

I've got VR headsets, I've got AR headsets.

37:09

I've got, I buy everything, right? I'm going to

37:11

get an Apple vision pro. Um, and

37:13

so I think over time, my channel on

37:15

YouTube may sort of evolve into more

37:17

tech with an AI leaning focus,

37:20

but you know, I, I, I sort of aspire

37:22

to be like a Marquez Brown

37:25

Lee, you know, sort of come

37:27

across with corridor crew. Like that's sort

37:29

of my vision for where I want to take this. Have you ever

37:31

thought of writing a book? It seems to

37:33

me, if you, if you have already, you may

37:35

have, I don't know. Have you written a book? I wrote

37:38

a book on WordPress already. Yeah.

37:40

I wrote a book on WordPress, um, years

37:43

and years and years ago. Uh,

37:45

you know, but that was, that was before I had an AI

37:47

to assist me with writing a book. Yeah. I

37:50

mean, it's like, you're the guy, uh,

37:52

who could probably with, with the popularity

37:55

of the site and the offers that you're already getting,

37:57

you could probably become an even more

37:59

powerful.

37:59

voice in the AI space with the book.

38:02

Yeah, definitely something that I've thought about it. In

38:04

fact, that what I would the angle I'd probably approach

38:06

it as is there

38:09

was this really good book in the marketing world

38:11

of

38:12

called how shoot, what's it called? But it was by this

38:14

guy, Joel common. It was like the history of

38:16

like the digital marketing world to like where

38:19

it was when the book was was written. I

38:21

was your order.

38:23

Click your order. It was called click

38:25

your order. I actually have it on my bookshelf,

38:27

but I was just drawing it out.

38:31

I was thinking of like that kind of idea,

38:33

but for the AI space of almost like sort

38:35

of a retelling of the story of AI,

38:37

I just got to figure out at what point

38:40

do I feel

38:41

it's right to tell this story because at a point

38:43

where like the history makes the most sense. You

38:45

know what, let's have this conversation offline.

38:48

I've got the publisher for you and I could help.

38:50

I can help make this happen for you. Yeah,

38:53

that'd be great. That is something that I've thought about doing

38:55

because that is one way I see the YouTube channel

38:58

is, you know, a lot of people ask, okay,

39:00

you're making news videos. There's not a lot of longevity

39:02

to that, but I almost see the YouTube channel is like

39:05

this time capsule of AI. You can go back

39:07

to this channel two years from now and see

39:09

at any date, like here's what was going on

39:11

in the AI world at that time. And

39:13

so a book would probably follow that sort of same

39:16

logic. Here's the beautiful thing about answering

39:18

the question of when to do it

39:21

immediately because one

39:23

of the things that most authors

39:25

don't have is the hook to

39:27

build the relationship with the reader and keep them

39:29

coming back. Yours is built

39:32

in. You want to know what's next. You have

39:34

to come here to the site to keep getting your updates.

39:37

This is where your future chapters

39:39

are all at. It's true. And actually

39:41

you could do something with like a book.io, like

39:43

with what I'm doing with the project and release

39:46

it a chapter at a time.

39:47

Right. It doesn't, you don't have to release the whole book

39:50

anymore. And this is the first time that it's been

39:52

done through that platform and actually as

39:54

an NFT as a book by the chapter,

39:57

which is a really fun, unique kind of a thing

39:59

to do.

39:59

I thought I was like, dude, Charles Dickens did

40:02

this back in the day and nobody else has released a

40:04

book by the chapter. And it's like, as

40:06

you sort of, you know, finish up one and

40:08

go, all right, I'm done with this one. You

40:11

don't have to wait six months until the whole book is

40:13

done. Like boom, you drop that and you build

40:15

that community out as you go. Now

40:17

this is bad crypto, by the way.

40:20

So I want to, I want to tap into your

40:22

brain because one of the things that, that Joel

40:24

and I have been thinking about and talking about is dude,

40:27

AI plus some crypto related

40:29

projects. There's going to be a couple of them that just

40:31

go cat, they just go stratospheric

40:34

sort of baboom. Like, and

40:37

I, you know, I look at it and I go, is it twin

40:39

protocol? Cause they're doing the digital twin

40:41

stuff. And I've been chatting with those guys. They're

40:43

doing some cool stuff. There's some other potential

40:45

AI and crypto things like what

40:48

are some of the things or maybe how is

40:50

it that you're looking at it that maybe other

40:52

people can do their own research to

40:54

maybe find something that's AI and crypto related

40:57

for them?

40:58

Yeah. I mean, I don't know a lot about

41:01

the, you know, what's going on with the

41:03

crossover of AI in crypto, but

41:05

I do know that there is a,

41:07

there's a need for that

41:10

sort of

41:12

I'm drawing a blank on the term, but like people

41:15

are creating a lot of really, really cool stuff with

41:17

AI, but they need to be

41:19

able to put it on the blockchain

41:21

to sort of verify the ownership of

41:24

it. And so I think, I think there is

41:26

a need for the sort of crossover

41:28

of blockchain and AI for creators

41:31

in the very least where you create stuff and then you

41:33

put it on a blockchain. I know mid journey,

41:36

right? The very popular art tool.

41:38

They when they first started

41:41

launching mid journey, one of the things that they did

41:43

when they first started was almost like every piece of

41:45

art that they were generating, they were putting it on open

41:47

sea for people to purchase early art that

41:49

was made from mid journey. So you can actually get

41:51

on open sea and find some of the earliest

41:54

stuff that mid journey ever generated.

41:56

And internally, they were working on it internally.

41:59

And then they said, hey, we

41:59

Oh, wow. Okay. Yeah. Mid-journey

42:02

themselves. The founder is

42:04

David Holtz. He was

42:06

basically running like an open sea account

42:08

where he was taking some of the first art to

42:11

ever come out of mid-journey and put it on there. So

42:14

I do think there's some

42:17

need for that.

42:18

Also, coming back to the gaming space, I

42:20

felt like for the longest time that blockchain

42:23

and gaming were just like this match made in heaven.

42:25

I still believe that. I think that

42:28

having digital asset ownership for games

42:30

is

42:31

really, really a great use case. For

42:34

all of the use cases of blockchain, I still

42:36

think gaming is one of the easiest

42:38

to grasp, one of the easiest to understand.

42:40

If you earn an item in a game that

42:42

took you 100 hours to earn that item,

42:46

put it on the blockchain, and then let me resell

42:49

that item to somebody else if I want to. Or

42:53

let me hang it in my Metaverse

42:55

bedroom so other people can see it. Absolutely.

42:58

I really think that gaming crossover

43:01

is there. And there's platforms

43:03

out there like Ready Player Me that allow

43:06

you to create your own avatar

43:08

for the Metaverse that's your own lookalike

43:10

that you can then mint on the blockchain.

43:13

So it's yours. It's only you.

43:15

So that's sort of where my

43:17

head tends to go when it comes to blockchain. I

43:20

think

43:20

the stuff that I've sort of soured to over

43:23

the years when it comes to crypto is the very

43:25

sort of like financial quick riches

43:27

make a lot of money really fast by

43:29

buying and selling coins. A lot of that kind

43:32

of narrative,

43:33

I used to be a lot more into it. I used

43:35

to trade a lot of coins. I used to do a lot of stuff with

43:37

the DeFi world. And I got burnt on

43:39

so many different projects in the DeFi world that

43:42

a lot of that stuff I've sort of soured to over the

43:44

years. But I still see that crossover

43:47

of like gaming and blockchain being like just

43:49

that perfect marriage, in my opinion.

43:51

You're completely right. We're building. We've

43:53

got multiple things happening in the gaming

43:55

space. We're definitely not giving up. A lot

43:57

of you know, a lot of people have. given

44:00

up, especially during the bear market.

44:03

And, you know, my son, Zach

44:05

with Draco Dice, he has persisted and we are

44:07

so close to releasing

44:09

the game that he promised, he refused

44:12

to stop because he promised people

44:14

who bought these NFTs that they were going to get

44:17

these games. And so, you know, we're working

44:19

on that. We're working on the blockchain, Heroes

44:21

Game. And imagine this, Matt, the time and

44:24

the future where you earn

44:26

this item in a game and

44:28

whether it's through a platform that

44:31

it can cross over to other games or whether it's

44:33

through the manufacturer, that that sword

44:36

that you earned in game A can

44:38

also, you have the NFT

44:40

that automatically triggers it to be able to be used

44:43

in game B, C, D, E, and

44:45

add infinite items. So now if you get done playing

44:47

a game or they retire that game, that

44:49

item that you have lives on.

44:52

And that's value. And that is going

44:54

to happen. It's just a matter of time. Take your

44:56

master sword from Zelda over somewhere

44:58

else. Be like, I'm going to

44:59

go kill something over there.

45:01

Or even that sort of like crossover collaboration

45:04

where maybe it's not that sword, but anybody who owns

45:06

this sword gets X special item

45:08

in this game, right? Where it can look

45:10

at your wallet and see, oh, you have that sword?

45:12

Well, because you have that sword, you now get

45:15

this item in this game, right? So I can

45:17

verify that you have that thing and give

45:19

you this thing. So not

45:21

only just being able to bring that item over, but

45:24

the sort of verification that you own this item

45:26

so that you can get this item in this game.

45:29

Dude, that's like marketing. That's like

45:31

a great sort of a PR thing. It's like, dude,

45:34

I know that this guy over here spent a hundred

45:36

hours to get this particular

45:38

item. This is a power user that we want

45:40

on our platform. Yeah, and so finding

45:43

a way to sort of cross-prolinate that, it makes

45:45

a lot of sense. Exactly,

45:46

yep. For sure. Well, hey,

45:48

Matt, we really appreciate you coming in and

45:50

taking your time with us today. The website,

45:53

mattwolf, with an E on the end, dot

45:55

com is where you want to go. And of

45:57

course, Chat GPT has given us.

46:00

All kinds of great titles for him. Matt

46:02

Wolf, the ineffable Oracle

46:04

of technological delights, sovereign

46:06

of AI's vast dominion, and Sultan

46:09

of innovations magnificence.

46:12

That's you, Matt. Thanks for joining us today.

46:14

We really appreciate it. Yeah.

46:15

Thanks for having me. It's

46:17

been so much fun. Love the show. A

46:20

whole new world,

46:23

a whole new life.

46:26

A.I. is

46:28

blowing up and I don't

46:30

know what the fuck. What do you do? What

46:32

is? It's a whole new world, man. The

46:34

world has changed so much. Literally,

46:37

when we started bad crypto six years ago,

46:40

bro, seriously, and we're going, okay,

46:42

crypto is the new. And then like, look at where

46:44

we are now. Can you even imagine

46:47

six years from now, like

46:49

where things are going to be like it's mind

46:52

boggling to me. Yeah, Matt. Matt

46:54

was great. Really fun talking to him. And

46:56

and I am in conversation with

46:58

Dan Mapes to get him from versus

47:01

like

47:01

dudes. Once he comes on the show, he is

47:03

going to blow our minds.

47:06

He provides so much depth

47:09

in where the technology is going. And

47:11

more than that, he is so optimistic

47:15

about the future because

47:17

of the technology that they've built.

47:20

And when you just you're not going to be able to come away

47:22

from this interview and not feel optimistic.

47:25

So that's coming soon. I just messaged him

47:27

again and hoping that he'll schedule something

47:29

with us shortly. Meanwhile,

47:32

we promised you guys an NFT as

47:34

we speak. Matt Wolf is

47:37

working on something unique

47:39

that we are going to deliver to you guys through

47:42

the bad crypto network at bad

47:44

crypto dot uncut dot

47:46

FM. And the NFT, if you already

47:49

hold a bad crypto nifty club membership

47:51

card like you see here on the screen, that's spinning.

47:54

You're going to get this as an air drop for free.

47:57

And we're going to do that a few days after this episode

47:59

releases. you don't have one of these and

48:01

you wanna go to badcrypto.uncut.fm

48:06

or uncut.network, they're both

48:08

lead to the same place now, and pick one of these up

48:10

for the bargain basement price of 0.002

48:14

ETH, which translates currently to $3.47. And

48:18

then you'll be in the community with 643 other

48:20

members. And

48:23

this is gonna be a cool NFT cause Matt himself

48:25

is gonna create it and he does mad ass

48:28

stuff.

48:28

Yeah, yeah. So there's some people who are in the

48:31

bad crypto podcast, the bad

48:33

Nifty club, there was the bad AI one

48:35

that we done. So there's a bunch of people

48:37

that's in the community, but this one is

48:39

right here is the one that you want cause you can't actually

48:42

get the bad AI one because

48:44

it's not for sales. You weren't bad enough.

48:47

But if you enjoyed going down the AI

48:49

rabbit hole, then do check out the other

48:51

podcasts, badai.show,

48:54

or just go to iTunes

48:56

or Google Play or Spotify, just

48:59

look for the bad AI show and you'll see our faces

49:02

and go subscribe and follow. That means

49:04

a lot to us when you do that. We of course

49:06

love reviews, especially if they're

49:08

of the five star breed. And

49:11

we'll catch you guys on the next episode

49:13

of the show. Anything else, Sirloin

49:14

or Travis?

49:15

No, you're gonna make sure that it's ours because

49:17

it'll have that sort of Mr. Beast. You

49:20

ever noticed everyone at Mr. Beast thumbnails is like,

49:23

wide open, happy,

49:25

excited. It's great to

49:27

be back folks. We appreciate you. Make

49:30

sure that if you wanna communicate with

49:32

us, there's a lot of different places you can do it. Badcryptopodcasts

49:34

at gmail.com. You can even

49:37

send us a phone call at that number.

49:39

I don't even remember the number. It's been so long since I've said

49:41

that. I know the number. That number is 708-885-9030. 708-885-9030.

49:49

Our AI answer bot

49:52

is standing by for you 24, seven, 365, 366 and

49:55

leap years.

49:57

Yeah, and you know what? We're coming up on episode.

50:00

700 so maybe we make that another fun audience episode

50:03

where you call in leave a message

50:05

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50:07

on your thing. You can rewind it about 30 seconds

50:10

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50:13

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50:15

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50:17

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50:20

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50:22

you so much for everything and until next time

50:24

go Stay Bad

50:44

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